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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Korean J Intern Med</journal-id>
<journal-title-group>
<journal-title>The Korean Journal of Internal Medicine</journal-title></journal-title-group>
<issn pub-type="ppub">1226-3303</issn>
<issn pub-type="epub">2005-6648</issn>
<publisher>
<publisher-name>Korean Association of Internal Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3904/kjim.2025.382</article-id>
<article-id pub-id-type="publisher-id">kjim-2025-382</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
<subj-group subj-group-type="heading">
<subject>Cardiology</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Prognostic significance of 1-year versus baseline high-sensitivity C-reactive protein after acute myocardial infarction: nationwide landmark results</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Seong</surname><given-names>Seok-Woo</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-2025-7781</contrib-id>
<name><surname>Park</surname><given-names>Hyun Woong</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Jae-Hwan</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Jeong</surname><given-names>Jin-Ok</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Mi Joo</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Song</surname><given-names>Pil Sang</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Jin</surname><given-names>Seon-Ah</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Ahn</surname><given-names>Kye Taek</given-names></name>
<xref rid="af1-kjim-2025-382" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Jeong</surname><given-names>Myung Ho</given-names></name>
<xref rid="af2-kjim-2025-382" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Sang Hyun</given-names></name>
<xref rid="af3-kjim-2025-382" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Hwang</surname><given-names>Jin-Yong</given-names></name>
<xref rid="af4-kjim-2025-382" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<collab>KAMIR Investigators</collab></contrib></contrib-group>
<aff id="af1-kjim-2025-382">
<label>1</label>Division of Cardiology, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, 
<country>Korea</country></aff>
<aff id="af2-kjim-2025-382">
<label>2</label>Division of Cardiology, Department of Internal Medicine, Heart Center, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, 
<country>Korea</country></aff>
<aff id="af3-kjim-2025-382">
<label>3</label>Department of Internal Medicine and Cardiovascular Center, Daejeon Eulji University Hospital, Daejeon, 
<country>Korea</country></aff>
<aff id="af4-kjim-2025-382">
<label>4</label>Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, 
<country>Korea</country></aff>
<author-notes>
<corresp id="c1-kjim-2025-382">Correspondence to: Hyun Woong Park, M.D., Ph.D. Division of Cardiology, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon 35015, Korea, Tel: +82-42-280-8796, Fax: +82-42-280-6760, E-mail: <email>chunjium@hanmail.net</email>, <ext-link xlink:href="https://orcid.org/0000-0002-2025-7781" ext-link-type="uri">https://orcid.org/0000-0002-2025-7781</ext-link></corresp></author-notes>
<pub-date pub-type="ppub">
<month>7</month>
<year>2026</year></pub-date>
<pub-date pub-type="epub">
<day>1</day>
<month>07</month>
<year>2026</year></pub-date>
<volume>41</volume>
<issue>4</issue>
<fpage>690</fpage>
<lpage>705</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>11</month>
<year>2025</year></date>
<date date-type="rev-recd">
<day>11</day>
<month>01</month>
<year>2026</year></date>
<date date-type="accepted">
<day>9</day>
<month>03</month>
<year>2026</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" ext-link-type="uri">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec>
<title>Background/Aims</title>
<p>Residual inflammatory risk after acute myocardial infarction (AMI) remains an important determinant of long-term outcomes despite optimal lipid-lowering therapy. The prognostic significance of serial high-sensitivity C-reactive protein (hs-CRP) measurements beyond the acute phase remains unclear. This study compared baseline and 1-year hs-CRP for predicting 3-year major adverse cardiovascular events in patients with AMI undergoing percutaneous coronary intervention.</p></sec>
<sec>
<title>Methods</title>
<p>We analyzed a large prospective AMI registry in which hs-CRP was measured at baseline and 1 year, classifying patients at each time point using a &#x02265; 2 mg/L threshold. The primary endpoint was 3-year MACE, including cardiovascular death, recurrent myocardial infarction, stroke, repeat revascularization, and stent thrombosis.</p></sec>
<sec>
<title>Results</title>
<p>Among 16,371 patients, 9,618 (58.8&#x00025;) had elevated hs-CRP at baseline. Of the 5,389 patients with 1-year data, 28.9&#x00025; had elevated hs-CRP. Baseline hs-CRP predicted MACE within the first year (hazard ratio &#x0005B;HR&#x0005D; 1.38, 95&#x00025; CI 1.21&#x02013;1.57); however, this association was no longer significant beyond 1 year. One year hs-CRP independently predicted subsequent 2-year MACE (HR 1.33, 95&#x00025; CI 1.01&#x02013;1.77). Patients with persistently high hs-CRP (&#x02265; 2 mg/L at both time points) had the highest 3-year MACE risk (HR 1.49, 95&#x00025; CI 1.08&#x02013;2.06, <italic>p</italic> = 0.015 vs. persistently low group) than patients with recovered, worsening, and persistently low hs-CRP.</p></sec>
<sec>
<title>Conclusions</title>
<p>In patients with AMI, hs-CRP measured at 1-year provides stronger long-term prognostic information than that at baseline beyond 1 year. Routine assessment of hs-CRP may improve risk stratification and guide targeted anti-inflammatory strategies in secondary prevention.</p></sec></abstract>
<kwd-group>
<kwd>Myocardial infarction</kwd>
<kwd>C-reactive protein</kwd>
<kwd>Inflammation</kwd>
<kwd>Risk assessment</kwd></kwd-group>
</article-meta></front>
<body>
<sec>
<title>Graphical abstract</title>
<p><xref rid="f5-kjim-2025-382" ref-type="fig"/></p></sec>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Chronic inflammation is central to the atherothrombotic process, contributing to plaque formation, progression, and destabilization, and ultimately plaque rupture, thereby precipitating clinical events such as acute myocardial infarction (AMI), stroke, and cardiovascular death &#x0005B;<xref ref-type="bibr" rid="b1-kjim-2025-382">1</xref>&#x02013;<xref ref-type="bibr" rid="b3-kjim-2025-382">3</xref>&#x0005D;. Among various inflammatory biomarkers, high-sensitivity C-reactive protein (hs-CRP) is the most extensively studied and remains a widely employed indicator of systemic inflammation and cardiovascular risk &#x0005B;<xref ref-type="bibr" rid="b4-kjim-2025-382">4</xref>&#x0005D;. Notably, in both primary and secondary prevention settings, elevated hs-CRP levels independently predicted future adverse cardiovascular events in patients with established atherosclerotic cardiovascular disease &#x0005B;<xref ref-type="bibr" rid="b5-kjim-2025-382">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2025-382">6</xref>&#x0005D;.</p>
<p>Despite advances in guideline-directed coronary revascularization and intensive secondary prevention, many patients with acute coronary syndrome (ACS) remain at high residual risk for recurrent ischemic events. This &#x0201C;residual inflammatory risk&#x0201D; (RIR) is increasingly recognized as a distinct clinical entity, separate from residual cholesterol risk, and represents a potentially modifiable target for adjunctive therapy &#x0005B;<xref ref-type="bibr" rid="b7-kjim-2025-382">7</xref>,<xref ref-type="bibr" rid="b8-kjim-2025-382">8</xref>&#x0005D;. The CANTOS, COLCOT, and LoDoCo2 trials have provided compelling evidence that anti-inflammatory therapies can decrease cardiovascular events independently of lipid lowering, further reinforcing the clinical relevance of inflammation in long-term risk modulation &#x0005B;<xref ref-type="bibr" rid="b9-kjim-2025-382">9</xref>&#x02013;<xref ref-type="bibr" rid="b11-kjim-2025-382">11</xref>&#x0005D;.</p>
<p>Although baseline hs-CRP levels measured during the acute phase of AMI correlate with outcomes &#x0005B;<xref ref-type="bibr" rid="b12-kjim-2025-382">12</xref>,<xref ref-type="bibr" rid="b13-kjim-2025-382">13</xref>&#x0005D;, their ability to predict long-term outcomes remains uncertain. This may partly reflect the dynamic nature of hs-CRP, which is acutely elevated during myocardial injury and systemic stress, potentially limiting its utility as a stable biomarker of chronic inflammation &#x0005B;<xref ref-type="bibr" rid="b14-kjim-2025-382">14</xref>,<xref ref-type="bibr" rid="b15-kjim-2025-382">15</xref>&#x0005D;. Accordingly, repeated evaluation of inflammatory status offers a more dependable approach to characterize RIR phenotypes among patients with coronary artery disease (CAD), potentially improving risk stratification and guiding personalized therapeutic strategies &#x0005B;<xref ref-type="bibr" rid="b14-kjim-2025-382">14</xref>,<xref ref-type="bibr" rid="b16-kjim-2025-382">16</xref>&#x0005D;.</p>
<p>However, the long-term comparative predictive performance of hs-CRP during the chronic phase after AMI remains inadequately characterized. Given the increasing interest in sustained inflammatory risk (SIR) and the potential value of late-phase biomarkers in refining long-term risk stratification, further research is warranted. This study, therefore, sought to evaluate and compare the prognostic value of baseline and 1-year hs-CRP levels for predicting MACE over a 3-year follow-up in patients with AMI undergoing percutaneous coronary intervention (PCI).</p></sec>
<sec sec-type="methods">
<title>METHODS</title>
<sec>
<title>Study design and data source</title>
<p>Data were obtained from two large, prospective, multicenter registries for AMI: the Korea Acute Myocardial Infarction Registry-National Institutes of Health (KAMIR-NIH) (between November 1, 2011 and December 31, 2015) and KAMIR-V (between January 1, 2016 and June 30, 2020) cohorts. The KAMIR series is a dedicated prospective registry that consecutively enrolled patients diagnosed with AMI at 20 and 33 tertiary university hospitals, respectively. Detailed study protocols have been published previously &#x0005B;<xref ref-type="bibr" rid="b17-kjim-2025-382">17</xref>&#x0005D;. The two cohorts involved 20 and 33 medical institutions capable of performing PCI and coronary artery bypass grafting (CABG), respectively. Protocols for both registries were approved by the Ethics Committee or Institutional Review Board of each participating center.</p></sec>
<sec>
<title>Study population (<xref rid="f1-kjim-2025-382" ref-type="fig">Fig. 1</xref>)</title>
<p>We merged two prospective nationwide registries, KAMIR-NIH and KAMIR-V, to enhance statistical power. In total, 29,625 patients were initially screened from the combined dataset. Patients were excluded if they did not have a final diagnosis of AMI, lacked valid hs-CRP measurements at admission, experienced in-hospital death, or were lost to follow-up.</p>
<p>After applying these criteria, 16,371 patients were included in the primary analysis and stratified into high and low hs-CRP groups according to baseline hs-CRP levels. These patients were followed for clinical outcomes over a 3-year period.</p>
<p>Subsequently, a landmark analysis was conducted on 5,389 patients to assess the prognostic value of 1-year hs-CRP. In this process, 10,982 patients were excluded because they either experienced a cardiovascular event during the first year or lacked follow-up hs-CRP measurements. Although this selection resulted in a cohort with fewer comorbidities (indicating a healthy survivor effect), there was no significant difference in baseline hs-CRP levels between the included and excluded groups (<italic>p</italic> = 0.894), as detailed in <xref rid="SD4-kjim-2025-382" ref-type="supplementary-material">Supplementary Table 1</xref>.</p></sec>
<sec>
<title>hs-CRP measurement and grouping</title>
<p>hs-CRP levels were measured at two distinct time points: during the index hospitalization for AMI and at the 1-year follow-up visit. The duration from baseline to 1-year hs-CRP levels was 342 &#x000B1; 41 days. All measurements were conducted in certified laboratories at participating centers using immunoassay-based methods with established sensitivity for detecting low-range CRP concentrations. The distributions of hs-CRP at baseline and at 1 year are shown in <xref rid="SD1-kjim-2025-382" ref-type="supplementary-material">Supplementary Figure 1</xref>. For the primary analyses, patients were categorized into high (&#x02265; 2 mg/L) and low (&lt; 2 mg/L) hs-CRP groups at baseline and at 1 year. This cutoff was prespecified based on the definition of RIR used in major cardiovascular outcome trials, which hs-CRP &#x02265; 2 mg/L was applied to identify patients with clinically meaningful inflammatory risk &#x0005B;<xref ref-type="bibr" rid="b9-kjim-2025-382">9</xref>,<xref ref-type="bibr" rid="b18-kjim-2025-382">18</xref>&#x0005D;. Patients were further classified into four groups according to serial hs-CRP status at baseline and 1 year (low &#x02192; low, low &#x02192; high, high &#x02192; low, and high &#x02192; high), as previously described &#x0005B;<xref ref-type="bibr" rid="b16-kjim-2025-382">16</xref>&#x0005D;.</p></sec>
<sec>
<title>Clinical outcomes</title>
<p>The primary outcome was MACE over a 3-year follow-up period, defined as a composite of cardiovascular death, recurrent MI, stroke, stent thrombosis, and repeat revascularization.</p>
<p>Secondary outcomes included the individual components of MACE and all-cause mortality (cardiovascular and non-cardiovascular). Additional secondary endpoints included each of the following evaluated separately: cardiovascular death, recurrent MI, stroke, clinically indicated repeat revascularization, and definite or probable stent thrombosis as defined by the Academic Research Consortium (ARC) criteria.</p>
<p>Recurrent MI was defined based on the Fourth Universal Definition of Myocardial Infarction as the recurrence of ischemic symptoms or new ST-segment/T-wave changes on electrocardiogram, accompanied by a rise in cardiac-specific biomarkers above the 99th percentile upper reference limit &#x0005B;<xref ref-type="bibr" rid="b19-kjim-2025-382">19</xref>&#x0005D;. Repeat revascularization was defined as any unplanned PCI or CABG conducted after discharge from the index hospitalization due to ischemic symptoms or objective evidence of myocardial ischemia. Stroke was defined as a new focal neurological deficit of presumed vascular origin lasting &#x02265; 24 hours, confirmed by computed tomography or magnetic resonance imaging. Stent thrombosis was categorized as definite or probable based on ARC criteria and adjudicated by site investigators &#x0005B;<xref ref-type="bibr" rid="b20-kjim-2025-382">20</xref>&#x0005D;.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Categorical variables are presented as counts and percentages and compared using the chi-square or Fisher&#x02019;s exact test, as appropriate. Continuous variables are expressed as mean &#x000B1; standard deviation and compared using Student&#x02019;s t-test or Wilcoxon rank-sum test, depending on distribution.</p>
<p>Kaplan&#x02013;Meier survival curves were constructed to estimate the cumulative incidence of clinical events, and differences between groups were compared using the log-rank test. Landmark analyses were performed using a predefined cutoff at 365 days post&#x02013;PCI to separately evaluate short-term (0&#x02013;1 yr) and long-term (1&#x02013;3 yr) outcomes.</p>
<p>Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95&#x00025; confidence intervals (CIs) for the association between hs-CRP levels and clinical outcomes. Variables with a univariate <italic>p</italic> value &lt; 0.10 were included in multivariable Cox regression models. Model selection was based on the Akaike Information Criterion. Multivariable models were adjusted for relevant baseline covariates, including age, sex, hypertension, diabetes mellitus, dyslipidemia, renal function, low-density lipoprotein cholesterol (LDL-C) at 1-year, and medication use, including statin. The proportional hazards assumption was tested using Schoenfeld residuals. Discriminatory performance was assessed using Harrell&#x02019;s C-index with 95&#x00025; CIs derived from Cox model concordance, which accounts for censoring and event timing. For baseline hs-CRP, discrimination was evaluated separately for early events (0&#x02013;12 mo) and late events (12&#x02013;36 mo) using administrative censoring at 365 and 1,095 days, respectively. For 12-month hs-CRP, discrimination was assessed in a 1-year landmark cohort (event-free at 365 days with available 12-month hs-CRP), with follow-up measured from the landmark to 36 months. To minimize information loss from categorization, hs-CRP was additionally analyzed as a continuous variable using restricted cubic spline functions within multivariable Cox proportional hazards models. The spline curves were used to evaluate potential nonlinearity and the overall dose&#x02013;response pattern, and results were presented as adjusted HRs with 95&#x00025; CIs across the observed hs-CRP range. For visual comparability with the prespecified cutoff, 2 mg/L was indicated as a reference point</p>
<p>Statistical significance was set at a two-sided <italic>p</italic> &lt; 0.05. All statistical analyses were performed using R software version 4.3.0 (R Foundation for Statistical Computing, Vienna, Austria).</p></sec></sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Baseline characteristics</title>
<p>High hs-CRP (&#x02265; 2 mg/L) was observed in 9,618 patients (58.8&#x00025;) at baseline. Patients with elevated hs-CRP were older, with a higher prevalence of hypertension, diabetes, and smoking. They had lower left ventricular ejection fraction (LVEF) and renal function, elevated N-terminal pro&#x02013;B-type natriuretic peptide (NT-proBNP) levels, and more frequently presented with higher Killip class, prior stroke or heart failure, multivessel disease, and complex coronary lesions (American College of Cardiology/American Heart Association &#x0005B;ACC/AHA&#x0005D; type B2/C). They were also more likely to undergo multivessel PCI (<xref rid="t1-kjim-2025-382" ref-type="table">Table 1</xref>).</p>
<p>Of the 5,389 patients with available hs-CRP data at both time points, 1,559 (28.9&#x00025;) showed high hs-CRP levels at 1 year, compared to 3,830 (71.1&#x00025;) with low levels. As summarized in <xref rid="t2-kjim-2025-382" ref-type="table">Table 2</xref>, at the 1-year follow-up, patients with elevated hs-CRP were older and had a higher prevalence of hypertension and prior stroke, along with higher Killip class, worse LVEF, and elevated NT-proBNP levels. Patients with high hs-CRP were less likely to be on beta-blockers or statins and more likely to receive calcium channel blockers and oral anticoagulants. Furthermore, patients with high hs-CRP at 1-year had significantly higher baseline hs-CRP levels than those with low hs-CRP (6.38 &#x0005B;3.05&#x02013;17.80&#x0005D; mg/L vs. 0.80 &#x0005B;0.40&#x02013;1.19&#x0005D; mg/L; <italic>p</italic> &lt; 0.001).</p></sec>
<sec>
<title>Clinical outcomes based on initial hs-CRP</title>
<p>During the 3-year follow-up, patients with baseline hs-CRP &#x02265; 2 mg/L demonstrated significantly increased cumulative incidence of all-cause death (7.3&#x00025; vs. 3.0&#x00025;, log-rank <italic>p</italic> &lt; 0.001), MACE (13.7&#x00025; vs. 10.9&#x00025;, log-rank <italic>p</italic> &lt; 0.001), and cardiovascular death (3.5 &#x00025; vs. 1.6 &#x00025;, log-rank <italic>p</italic> &lt; 0.001) (<xref rid="t3-kjim-2025-382" ref-type="table">Table 3</xref>, <xref rid="f2-kjim-2025-382" ref-type="fig">Fig. 2</xref>). These associations were pronounced within the first year post-PCI, with significantly higher rates of all-cause deaths, MACE, and cardiovascular death in the high hs-CRP group (<xref rid="t3-kjim-2025-382" ref-type="table">Table 3</xref>).</p>
<p>In multivariable Cox regression, high baseline hs-CRP was independently associated with increased risk of all-cause death (HR 2.49, 95&#x00025; CI 1.95&#x02013;3.18), MACE (HR 1.38, 95&#x00025; CI 1.21&#x02013;1.57), cardiovascular death (HR 2.29, 95&#x00025; CI 1.66&#x02013;3.15), MI (HR 1.62, 95&#x00025; CI 1.20&#x02013;2.19), and stroke (HR 1.78, 95&#x00025; CI 1.26&#x02013;2.53) within the first year post-PCI. Beyond 1-year, the risk associated with baseline hs-CRP was attenuated for all-cause mortality, MACE, and cardiovascular death (<xref rid="t4-kjim-2025-382" ref-type="table">Table 4</xref>).</p></sec>
<sec>
<title>Clinical outcomes based on 1-year hs-CRP</title>
<p>Total 5,389 patients were utilized to evaluate the association between 1-year hs-CRP levels and long-term cardiovascular outcomes. From 1 to 3 years after the index event, patients with elevated 1-year hs-CRP (&#x02265; 2 mg/L) had significantly higher cumulative incidence of all-cause (5.9&#x00025; vs. 1.5&#x00025;), MACE (7.3&#x00025; vs. 4.8&#x00025;), and cardiovascular death (2.1&#x00025; vs. 0.7&#x00025;) than those with hs-CRP &lt; 2 mg/L (all log-rank <italic>p</italic> &lt; 0.001; <xref rid="t5-kjim-2025-382" ref-type="table">Table 5</xref>, <xref rid="f3-kjim-2025-382" ref-type="fig">Fig. 3</xref>).</p>
<p>In multivariable Cox regression analysis, elevated 1-year hs-CRP remained an independent predictor of all-cause death (HR 2.93, 95&#x00025; CI 1.90&#x02013;4.53; <italic>p</italic> &lt; 0.001), MACE (HR 1.33, 95&#x00025; CI 1.01&#x02013;1.77; <italic>p</italic> = 0.045), and cardiovascular death (HR 2.42, 95&#x00025; CI 1.16&#x02013;5.03; <italic>p</italic> = 0.018) (<xref rid="t4-kjim-2025-382" ref-type="table">Table 4</xref>).</p>
<p>Transition patterns in hs-CRP status between baseline and 1 year are demonstrated in <xref rid="SD2-kjim-2025-382" ref-type="supplementary-material">Supplementary Figure 2</xref>. Among 5,389 patients, 3,145 (58.3 &#x00025;) had high hs-CRP levels initially. Among patients with elevated hs-CRP (&#x02265; 2 mg/L) at baseline (n = 3,145), 1,139 (36.2&#x00025;) remained in the persistent high category (high &#x02192; high) at 1 year, whereas 2,006 (63.8&#x00025;) transitioned to the resolved high group (high &#x02192; low). Conversely, among the low hs-CRP group (n = 2,244) at baseline, 417 (18.7&#x00025;) of patients with initially low hs-CRP moved into the worsening category (low &#x02192; high) and persistent low category at 1 year. Patients in the persistent high group exhibited the highest 3-year cumulative incidence of MACE (7.7&#x00025;), followed by the worsening (6.2&#x00025;), resolved high (5.0&#x00025;), and persistent low (4.6&#x00025;) groups (log-rank <italic>p</italic> value &lt; 0.001; <xref rid="f4-kjim-2025-382" ref-type="fig">Fig. 4</xref>). In multivariable Cox regression, using the persistent low group as the reference, persistent high status was significantly associated with an increased risk of 3-year MACE (adjusted HR 1.49, 95&#x00025; CI 1.08&#x02013;2.06; <italic>p</italic> = 0.015). Neither the incident high (adjusted HR 1.21, 95&#x00025; CI 0.76&#x02013;1.94; <italic>p</italic> = 0.424) nor the resolved high group (adjusted HR 0.99, 95&#x00025; CI 0.73&#x02013;1.35; <italic>p</italic> = 0.950) showed statistically significant differences in risk (<xref rid="SD4-kjim-2025-382" ref-type="supplementary-material">Supplementary Table 2</xref>).</p>
<p>In sensitivity analyses modeling hs-CRP continuously, restricted cubic spline curves demonstrated a graded association between hs-CRP levels and subsequent risk, without an apparent stepwise threshold effect (<xref rid="SD3-kjim-2025-382" ref-type="supplementary-material">Supplementary Fig. 3</xref>).</p></sec>
<sec>
<title>Discrimination Analysis Using Harrell&#x02019;s C-index</title>
<p>Baseline hs-CRP revealed modest discrimination for 1-year MACE (C-index 0.583, 95&#x00025; CI, 0.565&#x02013;0.601), but discrimination attenuated substantially for events occurring beyond 1 year in the landmark analysis (12&#x02013;36 months: C-index 0.519, 95&#x00025; CI, 0.500&#x02013;0.539). Conversely, 12-month hs-CRP demonstrated higher discrimination for subsequent events after the 1-year landmark (C-index 0.592, 95&#x00025; CI, 0.541&#x02013;0.644), supporting the greater prognostic relevance of stable-phase inflammatory status (<xref rid="SD6-kjim-2025-382" ref-type="supplementary-material">Supplementary Table 3</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>In this prospective registry of patients with AMI, elevated hs-CRP levels&#x02014;measured both at baseline and 1 year&#x02014;were remarkably associated with increased risk of adverse cardiovascular outcomes. Notably, baseline hs-CRP was a strong predictor of events occurring within the first year following the index event; however, its prognostic value attenuated thereafter. Contrarily, hs-CRP measured at 1 year remained independently associated with clinical events over the subsequent 2 years, underscoring its utility in identifying patients with sustained RIR. These temporal trends highlight the limited long-term relevance of a single baseline measurement and underscore the value of serial hs-CRP monitoring for chronic-phase risk stratification.</p>
<sec>
<title>Inflammation and atherosclerosis</title>
<p>Inflammation is a key driver of atherosclerosis, contributing to both plaque formation and its subsequent rupture &#x0005B;<xref ref-type="bibr" rid="b1-kjim-2025-382">1</xref>&#x02013;<xref ref-type="bibr" rid="b3-kjim-2025-382">3</xref>&#x0005D;.</p>
<p>Large-scale trials, such as PROVE IT&#x02013;TIMI 22 and IMPROVE-IT, have shown that elevated hs-CRP levels during follow-up are linked to higher coronary event rates, even when LDL-C goals are attained &#x0005B;<xref ref-type="bibr" rid="b21-kjim-2025-382">21</xref>,<xref ref-type="bibr" rid="b22-kjim-2025-382">22</xref>&#x0005D;. These results highlight the importance of inflammation beyond lipid control and support incorporating hs-CRP into cardiovascular risk assessment.</p>
<p>Unlike LDL-C, which stabilizes with lipid-lowering therapy, hs-CRP levels may vary substantially over time owing to individual differences in inflammation and comorbidities. In AMI, hs-CRP rises acutely, peaks within a few days, then declines; however, in some patients, levels remain elevated, indicating persistent vascular inflammation &#x0005B;<xref ref-type="bibr" rid="b13-kjim-2025-382">13</xref>,<xref ref-type="bibr" rid="b23-kjim-2025-382">23</xref>&#x0005D;. Hence, a single acute-phase measurement may not adequately reflect long-term inflammatory risk.</p>
<p>Previous studies have highlighted the time-dependent prognostic value of hs-CRP. Measurement at 1 month after ACS provided stronger predictive power than admission levels, and persistent elevation at both time points identified patients at the highest risk &#x0005B;<xref ref-type="bibr" rid="b24-kjim-2025-382">24</xref>&#x0005D;. Kang et al. &#x0005B;<xref ref-type="bibr" rid="b25-kjim-2025-382">25</xref>&#x0005D; further reported that baseline hs-CRP predicted MACE predominantly within 6 months after AMI (adjusted HR 1.69, 95&#x00025; CI 1.27&#x02013;2.25), but its prognostic impact attenuated thereafter despite statin therapy.</p>
<p>Similarly, Klingenberg et al. &#x0005B;<xref ref-type="bibr" rid="b26-kjim-2025-382">26</xref>&#x0005D; revealed that persistent hs-CRP elevation at 12 months was associated with higher adverse outcomes compared with consistently low levels (10.5&#x00025; vs. 7.2&#x00025;; adjusted HR 1.71, 95&#x00025; CI 1.08&#x02013;2.70). Collectively, these findings highlight the temporal variability of hs-CRP and support the need for serial monitoring to capture SIR beyond the acute phase.</p>
<p>This study leverages a large, well-characterized national registry with standardized 1-year hs-CRP sampling and uniform follow-up, enabling a robust assessment of RIR in the chronic phase after AMI. We characterize the time-dependent and distinct prognostic roles of baseline and 1-year hs-CRP, offering a more refined understanding of inflammation-related cardiovascular risk.</p></sec>
<sec>
<title>Emerging role of anti-inflammatory therapy in cardiovascular disease</title>
<p>Recent landmark trials, including CANTOS, COLCOT, and LoDoCo2, have established RIR as a modifiable target for reducing cardiovascular events &#x0005B;<xref ref-type="bibr" rid="b9-kjim-2025-382">9</xref>&#x02013;<xref ref-type="bibr" rid="b11-kjim-2025-382">11</xref>&#x0005D;. However, the lack of benefit observed in recent early-intervention trials, such as CLEAR &#x0005B;<xref ref-type="bibr" rid="b27-kjim-2025-382">27</xref>&#x0005D; and the heterogeneous results from CONVINCE trial &#x0005B;<xref ref-type="bibr" rid="b28-kjim-2025-382">28</xref>&#x0005D;, underscore that anti-inflammatory strategies cannot be uniformly applied to all patients. This highlights the critical necessity of precise patient selection based on persistent inflammatory burden.</p>
<p>The 2024 ESC Guidelines upgraded colchicine for chronic coronary syndromes to class IIa, consistent with meta-analytic evidence supporting the efficacy and safety of low-dose colchicine in coronary disease &#x0005B;<xref ref-type="bibr" rid="b29-kjim-2025-382">29</xref>&#x0005D;; however, discordant results from recent trials&#x02014;including CLEAR, CONVINCE, and CHANCE-3 &#x0005B;<xref ref-type="bibr" rid="b27-kjim-2025-382">27</xref>,<xref ref-type="bibr" rid="b28-kjim-2025-382">28</xref>,<xref ref-type="bibr" rid="b30-kjim-2025-382">30</xref>&#x0005D;&#x02014;suggest that a more personalized approach based on residual inflammatory burden and clinical context is warranted. In this context, our findings provide a practical framework for identifying the optimal target population. We demonstrated that approximately 30&#x00025; of post-AMI patients exhibited sustained high hs-CRP (&#x02265; 2 mg/L) at 1 year despite standard lipid-lowering therapy, and this phenotype was strongly associated with long-term adverse outcomes. Unlike baseline measurements, which are confounded by acute injury, 1-year hs-CRP serves as a reliable marker of the stable, chronic inflammatory phenotype. Therefore, routine assessment of hs-CRP during the chronic phase&#x02014;rather than broadly administering anti-inflammatory agents&#x02014;could serve as a valuable tool for secondary prevention. It allows clinicians to stratify patients who harbor &#x0201C;sustained residual inflammation&#x0201D; and may require more intensive risk factor modification or closer surveillance in the era of personalized medicine.</p>
<p>Because hs-CRP is a nonspecific marker of systemic inflammation, an elevated hs-CRP level at 1 year may reflect not only persistent vascular inflammation but also intercurrent infection, chronic inflammatory/autoimmune conditions, occult malignancy, or worsening heart failure &#x0005B;<xref ref-type="bibr" rid="b31-kjim-2025-382">31</xref>&#x0005D;. Therefore, the observed association between 1-year hs-CRP and subsequent outcomes should be interpreted as capturing a broader &#x0201C;inflammatory burden&#x0201D; rather than a direct measure of atherosclerotic inflammation alone. In clinical practice, an elevated, stable-phase hs-CRP should prompt careful evaluation for potential non-cardiovascular inflammatory conditions and heart failure, in addition to optimization of secondary prevention for CAD. Future studies with more granular data on intercurrent illnesses around follow-up visits may further clarify the relative contribution of these competing sources of inflammation.</p></sec>
<sec>
<title>Clinical implications and risk stratification</title>
<p>Although prior studies have linked persistently elevated hs-CRP with adverse outcomes &#x0005B;<xref ref-type="bibr" rid="b32-kjim-2025-382">32</xref>,<xref ref-type="bibr" rid="b33-kjim-2025-382">33</xref>&#x0005D;, our findings should be viewed as consistent with&#x02014;yet extending&#x02014;this evidence base. Using a large nationwide prospective AMI registry, we directly compared acute-phase (index) vs. stable-phase (1-year) hs-CRP within the same analytic framework and quantified time-evolving RIR using a landmark design and four-group transition analyses with adjusted Cox HRs, providing pragmatic AMI-specific evidence to support serial inflammatory assessment for long-term risk stratification in Asian patients.</p>
<p>Our findings offer key insights for long-term management of patients post-AMI. Although baseline hs-CRP predicted early adverse events, 1-year hs-CRP provided stronger prognostic value for long-term outcomes, supporting its use in chronic risk assessment. This indicates that a single in-hospital measurement may not be adequate to identify patients with persistent RIR. Follow-up hs-CRP can be a practical tool to refine risk stratification beyond lipid parameters, helping identify high-risk patients who&#x02014;despite optimal therapy&#x02014; may benefit from anti-inflammatory treatment or closer monitoring. Serial measurements may further enhance individualized care.</p>
<p>Incorporating follow-up hs-CRP into routine assessment could improve risk prediction and guide emerging inflammation-targeted therapies. The discriminatory performance of baseline hs-CRP diminished beyond the early phase, whereas 12-month hs-CRP provided comparatively better discrimination for subsequent events, consistent with the concept that stable-phase hs-CRP better captures RIR relevant to long-term prognosis. Landmark analysis excluded early post-MI events to specifically evaluate chronic-phase inflammation. Notably, serial hs-CRP assessment revealed meaningful risk reclassification, particularly in patients whose levels increased from low to high, highlighting its value in capturing dynamic inflammatory risk.</p>
<p>Although we evaluated hs-CRP at 1 year because it was the standardized follow-up time point in our registry, this should not be interpreted as establishing 1 year as the definitive optimal timing for inflammatory risk assessment after AMI. Future studies evaluating hs-CRP at multiple stable-phase time points are warranted to define the most informative timing and intervals for serial inflammatory monitoring.</p></sec>
<sec>
<title>Strengths and limitations</title>
<p>This study has several limitations. First, residual confounding may remain due to the observational design despite multivariable adjustment. Second, hs-CRP is a nonspecific inflammatory marker and may be influenced by subclinical infection, comorbid inflammatory conditions, malignancy, or other unmeasured factors; likewise, statin intensity and dose changes could affect hs-CRP, but detailed longitudinal data on statin intensity were not systematically captured, so related residual confounding cannot be excluded. Third, anti-inflammatory agents (e.g., colchicine or interleukin-1&#x003B2; inhibitors) were not routinely used, limiting the assessment of treatment-modifiable inflammatory risk. Fourth, requiring 1-year follow-up hs-CRP introduced survivor/selection bias by preferentially including clinically stable survivors (<xref rid="SD4-kjim-2025-382" ref-type="supplementary-material">Supplementary Table 1</xref>); however, baseline hs-CRP was similar between included and excluded patients, suggesting minimal bias in initial inflammatory severity. Incident heart failure could not be directly assessed, but the landmark design excluded all patients with MACE within the first year, focusing on event-free survivors in whom persistent hs-CRP more likely reflects RIR. Finally, as this multicenter registry spanned over a decade, hs-CRP assays may have varied across centers and over time, and the absence of a centralized core laboratory is an inherent limitation.</p>
<p>Despite these limitations, this large multicenter prospective registry with standardized 1-year hs-CRP assessment, combined with landmark and spline analyses, provides robust evidence on the time-dependent prognostic implications of RIR after AMI.</p></sec>
<sec sec-type="conclusions">
<title>Conclusion</title>
<p>These findings underscore the dynamic nature of RIR and underscore the limitations of single-time-point measurements obtained during the acute phase, especially 1-year hs-CRP. Serial assessment of hs-CRP may provide additional value in identifying high-risk patients who are otherwise managed in accordance with guideline-based secondary prevention. Incorporating inflammation-based risk stratification&#x02014;particularly during the chronic recovery phase&#x02014;may facilitate a more personalized approach to post-AMI care and inform the potential use of adjunctive anti-inflammatory therapies.</p></sec></sec>
<sec>
<title>KEY MESSAGE</title>
<boxed-text position="float" orientation="portrait">
<p>1. In patients with AMI undergoing PCI, baseline hs-CRP predicted adverse events only within the first year, and its prognostic value attenuated thereafter.</p>
<p>2. hs-CRP measured at 1 year independently predicted subsequent cardiovascular events, providing stronger long-term prognostic information than baseline measurement.</p>
<p>3. Patients with persistently elevated hs-CRP (&#x02265; 2 mg/L at both baseline and 1 year) had the highest long-term risk, supporting serial hs-CRP assessment to identify candidates for targeted anti-inflammatory strategies in secondary prevention.</p></boxed-text></sec></body>
<back>
<sec sec-type="supplementary-material">
<title>Supplementary Information</title>
<supplementary-material id="SD1-kjim-2025-382" content-type="local-data">
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<supplementary-material id="SD2-kjim-2025-382" content-type="local-data">
<media xlink:href="kjim-2025-382-Supplementary-Fig-2.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD3-kjim-2025-382" content-type="local-data">
<media xlink:href="kjim-2025-382-Supplementary-Fig-3.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD4-kjim-2025-382" content-type="local-data">
<media xlink:href="kjim-2025-382-Supplementary-Table-1.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD5-kjim-2025-382" content-type="local-data">
<media xlink:href="kjim-2025-382-Supplementary-Table-2.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material>
<supplementary-material id="SD6-kjim-2025-382" content-type="local-data">
<media xlink:href="kjim-2025-382-Supplementary-Table-3.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec>
<fn-group>
<fn id="fn1-kjim-2025-382">
<p><bold>CRedit authorship contributions</bold></p>
<p>Seok-Woo Seong: methodology, writing - original draft; Hyun Woong Park: conceptualization, methodology, resources, investigation, data curation, validation, software, writing - original draft, writing - review &amp; editing, visualization, supervision, project administration, funding acquisition; Jae-Hwan Lee: formal analysis, validation; Jin-Ok Jeong: formal analysis, software; Mi Joo Kim: data curation, validation; Pil Sang Song: visualization; Seon-Ah Jin: investigation; Kye Taek Ahn: methodology, software; Myung Ho Jeong: resources; Sang Hyun Park: resources, data curation; Jin-Yong Hwang: resources</p></fn>
<fn id="fn2-kjim-2025-382" fn-type="conflict">
<p><bold>Conflicts of interest</bold></p>
<p>The authors disclose no conflicts</p></fn>
<fn id="fn3-kjim-2025-382">
<label>Fundings</label>
<p>This research was supported by a fund by Research of Korea Centers for Disease Control and Prevention (2016-ER6304-02).</p></fn></fn-group>
<ref-list>
<title>REFERENCES</title>
<ref id="b1-kjim-2025-382"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Libby</surname><given-names>P</given-names></name><name><surname>Crea</surname><given-names>F</given-names></name></person-group><article-title>Clinical implications of inflammation for cardiovascular primary prevention</article-title><source>Eur Heart J</source><year>2010</year><volume>31</volume><fpage>777</fpage><lpage>783</lpage></element-citation></ref>
<ref id="b2-kjim-2025-382"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Koenig</surname><given-names>W</given-names></name><name><surname>Khuseyinova</surname><given-names>N</given-names></name></person-group><article-title>Biomarkers of atherosclerotic plaque instability and rupture</article-title><source>Arterioscler Thromb Vasc Biol</source><year>2007</year><volume>27</volume><fpage>15</fpage><lpage>26</lpage></element-citation></ref>
<ref id="b3-kjim-2025-382"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Alexander</surname><given-names>RW</given-names></name></person-group><article-title>Inflammation and coronary artery disease</article-title><source>N Engl J Med</source><year>1994</year><volume>331</volume><fpage>468</fpage><lpage>469</lpage></element-citation></ref>
<ref id="b4-kjim-2025-382"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Satoh</surname><given-names>K</given-names></name><name><surname>Shimokawa</surname><given-names>H</given-names></name></person-group><article-title>High-sensitivity C-reactive protein: still need for next-generation biomarkers for remote future cardiovascular events</article-title><source>Eur Heart J</source><year>2014</year><volume>35</volume><fpage>1776</fpage><lpage>1778</lpage></element-citation></ref>
<ref id="b5-kjim-2025-382"><label>5</label><element-citation publication-type="journal"><collab>Emerging Risk Factors Collaboration</collab><person-group person-group-type="author"><name><surname>Kaptoge</surname><given-names>S</given-names></name><name><surname>Di Angelantonio</surname><given-names>E</given-names></name><etal/></person-group><article-title>C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis</article-title><source>Lancet</source><year>2010</year><volume>375</volume><fpage>132</fpage><lpage>140</lpage></element-citation></ref>
<ref id="b6-kjim-2025-382"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carrero</surname><given-names>JJ</given-names></name><name><surname>Andersson Franko</surname><given-names>M</given-names></name><name><surname>Obergfell</surname><given-names>A</given-names></name><name><surname>Gabrielsen</surname><given-names>A</given-names></name><name><surname>Jernberg</surname><given-names>T</given-names></name></person-group><article-title>hsCRP level and the risk of death or recurrent cardiovascular events in patients with myocardial infarction: a healthcare-based study</article-title><source>J Am Heart Assoc</source><year>2019</year><volume>8</volume><fpage>e012638</fpage></element-citation></ref>
<ref id="b7-kjim-2025-382"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schwartz</surname><given-names>GG</given-names></name><name><surname>Olsson</surname><given-names>AG</given-names></name><name><surname>Ezekowitz</surname><given-names>MD</given-names></name><etal/></person-group><article-title>Effects of atorvastatin on early recurrent ischemic events in acute coronary syndromes: the MIRACL study: a randomized controlled trial</article-title><source>JAMA</source><year>2001</year><volume>285</volume><fpage>1711</fpage><lpage>1718</lpage></element-citation></ref>
<ref id="b8-kjim-2025-382"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cannon</surname><given-names>CP</given-names></name><name><surname>Braunwald</surname><given-names>E</given-names></name><name><surname>McCabe</surname><given-names>CH</given-names></name><etal/></person-group><article-title>Intensive versus moderate lipid lowering with statins after acute coronary syndromes</article-title><source>N Engl J Med</source><year>2004</year><volume>350</volume><fpage>1495</fpage><lpage>1504</lpage></element-citation></ref>
<ref id="b9-kjim-2025-382"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ridker</surname><given-names>PM</given-names></name><name><surname>Everett</surname><given-names>BM</given-names></name><name><surname>Thuren</surname><given-names>T</given-names></name><etal/></person-group><article-title>antiinflammatory therapy with canakinumab for atherosclerotic disease</article-title><source>N Engl J Med</source><year>2017</year><volume>377</volume><fpage>1119</fpage><lpage>1131</lpage></element-citation></ref>
<ref id="b10-kjim-2025-382"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tardif</surname><given-names>JC</given-names></name><name><surname>Kouz</surname><given-names>S</given-names></name><name><surname>Waters</surname><given-names>DD</given-names></name><etal/></person-group><article-title>Efficacy and safety of low-dose colchicine after myocardial infarction</article-title><source>N Engl J Med</source><year>2019</year><volume>381</volume><fpage>2497</fpage><lpage>2505</lpage></element-citation></ref>
<ref id="b11-kjim-2025-382"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nidorf</surname><given-names>SM</given-names></name><name><surname>Fiolet</surname><given-names>ATL</given-names></name><name><surname>Mosterd</surname><given-names>A</given-names></name><etal/></person-group><article-title>Colchicine in patients with chronic coronary disease</article-title><source>N Engl J Med</source><year>2020</year><volume>383</volume><fpage>1838</fpage><lpage>1847</lpage></element-citation></ref>
<ref id="b12-kjim-2025-382"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kalkman</surname><given-names>DN</given-names></name><name><surname>Aquino</surname><given-names>M</given-names></name><name><surname>Claessen</surname><given-names>BE</given-names></name><etal/></person-group><article-title>Residual inflammatory risk and the impact on clinical outcomes in patients after percutaneous coronary interventions</article-title><source>Eur Heart J</source><year>2018</year><volume>39</volume><fpage>4101</fpage><lpage>4108</lpage></element-citation></ref>
<ref id="b13-kjim-2025-382"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tomoda</surname><given-names>H</given-names></name><name><surname>Aoki</surname><given-names>N</given-names></name></person-group><article-title>Prognostic value of C-reactive protein levels within six hours after the onset of acute myocardial infarction</article-title><source>Am Heart J</source><year>2000</year><volume>140</volume><fpage>324</fpage><lpage>328</lpage></element-citation></ref>
<ref id="b14-kjim-2025-382"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mani</surname><given-names>P</given-names></name><name><surname>Puri</surname><given-names>R</given-names></name><name><surname>Schwartz</surname><given-names>GG</given-names></name><etal/></person-group><article-title>Association of initial and serial C-reactive protein levels with adverse cardiovascular events and death after acute coronary syndrome: a secondary analysis of the VISTA-16 trial</article-title><source>JAMA Cardiol</source><year>2019</year><volume>4</volume><fpage>314</fpage><lpage>320</lpage></element-citation></ref>
<ref id="b15-kjim-2025-382"><label>15</label><element-citation publication-type="journal"><collab>MONICA/KORA Myocardial Infarction Registry</collab><person-group person-group-type="author"><name><surname>Meisinger</surname><given-names>C</given-names></name><name><surname>Heier</surname><given-names>M</given-names></name><name><surname>von Scheidt</surname><given-names>W</given-names></name><name><surname>Kuch</surname><given-names>B</given-names></name></person-group><article-title>Admission C-reactive protein and short-as well as long-term mortality in diabetic versus non-diabetic patients with incident myocardial infarction</article-title><source>Clin Res Cardiol</source><year>2010</year><volume>99</volume><fpage>817</fpage><lpage>823</lpage></element-citation></ref>
<ref id="b16-kjim-2025-382"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Takahashi</surname><given-names>N</given-names></name><name><surname>Dohi</surname><given-names>T</given-names></name><name><surname>Endo</surname><given-names>H</given-names></name><etal/></person-group><article-title>Residual inflammation indicated by high-sensitivity C-reactive protein predicts worse long-term clinical outcomes in japanese patients after percutaneous coronary intervention</article-title><source>J Clin Med</source><year>2020</year><volume>9</volume><fpage>1033</fpage></element-citation></ref>
<ref id="b17-kjim-2025-382"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>JH</given-names></name><name><surname>Chae</surname><given-names>SC</given-names></name><name><surname>Oh</surname><given-names>DJ</given-names></name><etal/></person-group><article-title>Multicenter cohort study of acute myocardial infarction in Korea - interim analysis of the Korea Acute Myocardial Infarction Registry-National Institutes of Health Registry</article-title><source>Circ J</source><year>2016</year><volume>80</volume><fpage>1427</fpage><lpage>1436</lpage></element-citation></ref>
<ref id="b18-kjim-2025-382"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ridker</surname><given-names>PM</given-names></name></person-group><article-title>The JUPITER trial: results, controversies, and implications for prevention</article-title><source>Circ Cardiovasc Qual Outcomes</source><year>2009</year><volume>2</volume><fpage>279</fpage><lpage>285</lpage></element-citation></ref>
<ref id="b19-kjim-2025-382"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Thygesen</surname><given-names>K</given-names></name><name><surname>Alpert</surname><given-names>JS</given-names></name><name><surname>Jaffe</surname><given-names>AS</given-names></name><etal/></person-group><article-title>Fourth universal definition of myocardial infarction (2018)</article-title><source>J Am Coll Cardiol</source><year>2018</year><volume>72</volume><fpage>2231</fpage><lpage>2264</lpage></element-citation></ref>
<ref id="b20-kjim-2025-382"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cutlip</surname><given-names>DE</given-names></name><name><surname>Windecker</surname><given-names>S</given-names></name><name><surname>Mehran</surname><given-names>R</given-names></name><etal/></person-group><article-title>Clinical end points in coronary stent trials: a case for standardized definitions</article-title><source>Circulation</source><year>2007</year><volume>115</volume><fpage>2344</fpage><lpage>2351</lpage></element-citation></ref>
<ref id="b21-kjim-2025-382"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ridker</surname><given-names>PM</given-names></name><name><surname>Cannon</surname><given-names>CP</given-names></name><name><surname>Morrow</surname><given-names>D</given-names></name><etal/></person-group><article-title>C-reactive protein levels and outcomes after statin therapy</article-title><source>N Engl J Med</source><year>2005</year><volume>352</volume><fpage>20</fpage><lpage>28</lpage></element-citation></ref>
<ref id="b22-kjim-2025-382"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bohula</surname><given-names>EA</given-names></name><name><surname>Giugliano</surname><given-names>RP</given-names></name><name><surname>Cannon</surname><given-names>CP</given-names></name><etal/></person-group><article-title>Achievement of dual low-density lipoprotein cholesterol and high-sensitivity C-reactive protein targets more frequent with the addition of ezetimibe to simvastatin and associated with better outcomes in IMPROVE-IT</article-title><source>Circulation</source><year>2015</year><volume>132</volume><fpage>1224</fpage><lpage>1233</lpage></element-citation></ref>
<ref id="b23-kjim-2025-382"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawler</surname><given-names>PR</given-names></name><name><surname>Bhatt</surname><given-names>DL</given-names></name><name><surname>Godoy</surname><given-names>LC</given-names></name><etal/></person-group><article-title>Targeting cardiovascular inflammation: next steps in clinical translation</article-title><source>Eur Heart J</source><year>2021</year><volume>42</volume><fpage>113</fpage><lpage>131</lpage></element-citation></ref>
<ref id="b24-kjim-2025-382"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ahn</surname><given-names>JH</given-names></name><name><surname>Tantry</surname><given-names>US</given-names></name><name><surname>Kang</surname><given-names>MG</given-names></name><etal/></person-group><article-title>Residual inflammatory risk and its association with events in East Asian patients after coronary intervention</article-title><source>JACC Asia</source><year>2022</year><volume>2</volume><fpage>323</fpage><lpage>337</lpage></element-citation></ref>
<ref id="b25-kjim-2025-382"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kang</surname><given-names>DO</given-names></name><name><surname>Park</surname><given-names>Y</given-names></name><name><surname>Seo</surname><given-names>JH</given-names></name><etal/></person-group><article-title>Time-dependent prognostic effect of high sensitivity C-reactive protein with statin therapy in acute myocardial infarction</article-title><source>J Cardiol</source><year>2019</year><volume>74</volume><fpage>74</fpage><lpage>83</lpage></element-citation></ref>
<ref id="b26-kjim-2025-382"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Klingenberg</surname><given-names>R</given-names></name><name><surname>Aghlmandi</surname><given-names>S</given-names></name><name><surname>Gencer</surname><given-names>B</given-names></name><etal/></person-group><article-title>Residual inflammatory risk at 12 months after acute coronary syndromes is frequent and associated with combined adverse events</article-title><source>Atherosclerosis</source><year>2021</year><volume>320</volume><fpage>31</fpage><lpage>37</lpage></element-citation></ref>
<ref id="b27-kjim-2025-382"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jolly</surname><given-names>SS</given-names></name><name><surname>d&#x02019;Entremont</surname><given-names>MA</given-names></name><name><surname>Lee</surname><given-names>SF</given-names></name><etal/></person-group><article-title>Colchicine in acute myocardial infarction</article-title><source>N Engl J Med</source><year>2025</year><volume>392</volume><fpage>633</fpage><lpage>642</lpage></element-citation></ref>
<ref id="b28-kjim-2025-382"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kelly</surname><given-names>P</given-names></name><name><surname>Lemmens</surname><given-names>R</given-names></name><name><surname>Weimar</surname><given-names>C</given-names></name><etal/></person-group><article-title>Long-term colchicine for the prevention of vascular recurrent events in non-cardioembolic stroke (CONVINCE): a randomised controlled trial</article-title><source>Lancet</source><year>2024</year><volume>404</volume><fpage>125</fpage><lpage>133</lpage></element-citation></ref>
<ref id="b29-kjim-2025-382"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fiolet</surname><given-names>ATL</given-names></name><name><surname>Opstal</surname><given-names>TSJ</given-names></name><name><surname>Mosterd</surname><given-names>A</given-names></name><etal/></person-group><article-title>Efficacy and safety of low-dose colchicine in patients with coronary disease: a systematic review and meta-analysis of randomized trials</article-title><source>Eur Heart J</source><year>2021</year><volume>42</volume><fpage>2765</fpage><lpage>2775</lpage></element-citation></ref>
<ref id="b30-kjim-2025-382"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Meng</surname><given-names>X</given-names></name><name><surname>Shi</surname><given-names>FD</given-names></name><etal/></person-group><article-title>Colchicine in patients with acute ischaemic stroke or transient ischaemic attack (CHANCE-3): multicentre, double blind, randomised, placebo controlled trial</article-title><source>BMJ</source><year>2024</year><volume>385</volume><fpage>e079061</fpage></element-citation></ref>
<ref id="b31-kjim-2025-382"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pepys</surname><given-names>MB</given-names></name><name><surname>Hirschfield</surname><given-names>GM</given-names></name></person-group><article-title>C-reactive protein: a critical update</article-title><source>J Clin Invest</source><year>2003</year><volume>111</volume><fpage>1805</fpage><lpage>1812</lpage></element-citation></ref>
<ref id="b32-kjim-2025-382"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>A</given-names></name><name><surname>Liu</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>C</given-names></name><etal/></person-group><article-title>Cumulative exposure to high-sensitivity c-reactive protein predicts the risk of cardiovascular disease</article-title><source>J Am Heart Assoc</source><year>2017</year><volume>6</volume><fpage>e005610</fpage></element-citation></ref>
<ref id="b33-kjim-2025-382"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Parrinello</surname><given-names>CM</given-names></name><name><surname>Lutsey</surname><given-names>PL</given-names></name><name><surname>Ballantyne</surname><given-names>CM</given-names></name><name><surname>Folsom</surname><given-names>AR</given-names></name><name><surname>Pankow</surname><given-names>JS</given-names></name><name><surname>Selvin</surname><given-names>E</given-names></name></person-group><article-title>Six-year change in high-sensitivity C-reactive protein and risk of diabetes, cardiovascular disease, and mortality</article-title><source>Am Heart J</source><year>2015</year><volume>170</volume><fpage>380</fpage><lpage>389</lpage></element-citation></ref>
<ref id="b34-kjim-2025-382"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname><given-names>S</given-names></name><name><surname>Galimberti</surname><given-names>F</given-names></name><name><surname>Olmastroni</surname><given-names>E</given-names></name><name><surname>Catapano</surname><given-names>AL</given-names></name><name><surname>Casula</surname><given-names>M</given-names></name></person-group><article-title>Colchicine and cardiovascular events: an updated meta-analysis of published randomized controlled trials</article-title><source>J Intern Med</source><year>2025</year><volume>298</volume><fpage>711</fpage><lpage>717</lpage></element-citation></ref></ref-list>
<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjim-2025-382" position="float">
<label>Figure 1</label>
<caption>
<p>Study flow. In total, 29,625 patients with AMI undergoing PCI were enrolled from two nationwide registries: the KAMIR-NIH (2011&#x02013;2015) and KAMIR-V (2015&#x02013;2020). AMI, acute myocardial infarction; PCI, percutaneous coronary intervention; hs-CRP, high-sensitivity C-reactive protein; MACE, major adverse cardiovascular events; F/U, follow-up.</p></caption>
<graphic xlink:href="kjim-2025-382f1.gif"/></fig>
<fig id="f2-kjim-2025-382" position="float">
<label>Figure 2</label>
<caption>
<p>Time-dependent prognostic value of hs-CRP after AMI. Kaplan&#x02013;Meier curves stratified by baseline hs-CRP (&#x02265; 2 mg/L vs. &lt; 2 mg/L) illustrating cumulative incidence of (A) all-cause death, (B) MACE, (C) cardiovascular death. Curves compare outcomes by baseline hs-CRP using a prespecified landmark at 1-year post&#x02013;index procedure. MACE was defined as a composite of cardiovascular death, MI, stroke, repeat revascularization, and stent thrombosis. <italic>p</italic> values are from log-rank tests; HRs with 95&#x00025; CIs were estimated using Cox models as specified in the Methods. HR, hazard ratio; CI, confidence interval; hs-CRP, high-sensitivity C-reactive protein; MACE, major adverse cardiovascular events; AMI, acute myocardial infarction; MI, myocardial infarction.</p></caption>
<graphic xlink:href="kjim-2025-382f2.gif"/></fig>
<fig id="f3-kjim-2025-382" position="float">
<label>Figure 3</label>
<caption>
<p>Time-dependent prognostic value of 1-year hs-CRP beyond 1 year. Kaplan&#x02013;Meier curves stratified by 1-year hs-CRP (&#x02265; 2 mg/L vs. &lt; 2 mg/L) illustrating cumulative incidence of (A) all-cause death, (B) MACE, (C) cardiovascular death beyond 1 year. Panels compare outcomes by 1-year hs-CRP, with follow-up beginning at 1-year. MACE was defined as a composite of cardiovascular death, MI, stroke, repeat revascularization, and stent thrombosis. <italic>p</italic> values are from log-rank tests; HRs with 95&#x00025; CIs were estimated using Cox models as specified in the Methods. HR, hazard ratio; CI, confidence interval; hs-CRP, high-sensitivity C-reactive protein; MACE, major adverse cardiovascular events; MI, myocardial infarction.</p></caption>
<graphic xlink:href="kjim-2025-382f3.gif"/></fig>
<fig id="f4-kjim-2025-382" position="float">
<label>Figure 4</label>
<caption>
<p>Cumulative incidence of clinical outcomes stratified by baseline and 1-year hs-CRP levels (&#x02265; 2 mg/L vs. &lt; 2 mg/L). Cumulative incidence of MACE at 3 years based on hs-CRP trajectory: low (baseline) &#x02192; low (at 1 year), low &#x02192; high, high &#x02192; low, high &#x02192; high, beginning at 1 year post-index procedure. Patients who experienced events within the first year were excluded. HR, hazard ratio; CI, confidence interval; hs-CRP, high-sensitivity C-reactive protein; MACE, major adverse cardiovascular events.</p></caption>
<graphic xlink:href="kjim-2025-382f4.gif"/></fig>
<fig id="f5-kjim-2025-382" position="float">
<graphic xlink:href="kjim-2025-382f5.gif"/></fig>
<table-wrap id="t1-kjim-2025-382" position="float">
<label>Table 1</label>
<caption>
<p>Baseline clinical characteristics of the study population at admission</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">Overall (n = 16,371)</th>
<th valign="middle" align="center">Low, &lt; 2 (n = 6,753)</th>
<th valign="middle" align="center">High, &#x02265; 2 (n = 9,618)</th>
<th valign="middle" align="center"><italic>p</italic> value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (yr)</td>
<td valign="top" align="center">63.29 &#x000B1; 12.32</td>
<td valign="top" align="center">62.64 &#x000B1; 11.83</td>
<td valign="top" align="center">63.75 &#x000B1; 12.64</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">12,720 (77.7)</td>
<td valign="top" align="center">5,287 (78.3)</td>
<td valign="top" align="center">7,433 (77.3)</td>
<td valign="top" align="right">0.132</td></tr>
<tr>
<td valign="top" align="left">Clinical presentation as STEMI</td>
<td valign="top" align="center">8,411 (51.4)</td>
<td valign="top" align="center">3,554 (52.6)</td>
<td valign="top" align="center">4,857 (50.5)</td>
<td valign="top" align="right">0.008</td></tr>
<tr>
<td valign="top" align="left">hs-CRP (mg/L)</td>
<td valign="top" align="center">2.90 &#x0005B;0.94&#x02013;7.92&#x0005D;</td>
<td valign="top" align="center">0.75 &#x0005B;0.40&#x02013;1.20&#x0005D;</td>
<td valign="top" align="center">6.00 &#x0005B;3.00&#x02013;18.60&#x0005D;</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Killip classification III/IV</td>
<td valign="top" align="center">1,706 (10.6)</td>
<td valign="top" align="center">515 (7.8)</td>
<td valign="top" align="center">1,191 (12.6)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">8,181 (50.0)</td>
<td valign="top" align="center">3,234 (47.9)</td>
<td valign="top" align="center">4,947 (51.4)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">4,468 (27.3)</td>
<td valign="top" align="center">1,683 (24.9)</td>
<td valign="top" align="center">2,785 (29.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td valign="top" align="center">2,451 (15.0)</td>
<td valign="top" align="center">1,044 (15.5)</td>
<td valign="top" align="center">1,407 (14.6)</td>
<td valign="top" align="right">0.149</td></tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">24.30 &#x000B1; 3.32</td>
<td valign="top" align="center">24.20 &#x000B1; 3.17</td>
<td valign="top" align="center">24.38 &#x000B1; 3.42</td>
<td valign="top" align="right">0.001</td></tr>
<tr>
<td valign="top" align="left">Previous MI</td>
<td valign="top" align="center">1,098 (6.7)</td>
<td valign="top" align="center">465 (6.9)</td>
<td valign="top" align="center">633 (6.6)</td>
<td valign="top" align="right">0.462</td></tr>
<tr>
<td valign="top" align="left">Previous angina</td>
<td valign="top" align="center">1,315 (8.0)</td>
<td valign="top" align="center">606 (9.0)</td>
<td valign="top" align="center">709 (7.4)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Previous HF</td>
<td valign="top" align="center">189 (1.2)</td>
<td valign="top" align="center">50 (0.7)</td>
<td valign="top" align="center">139 (1.4)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Previous stroke</td>
<td valign="top" align="center">1,040 (6.4)</td>
<td valign="top" align="center">370 (5.5)</td>
<td valign="top" align="center">670 (7.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">6,599 (40.3)</td>
<td valign="top" align="center">2,526 (37.4)</td>
<td valign="top" align="center">4,073 (42.3)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">LVEF (&#x00025;)</td>
<td valign="top" align="center">52.28 &#x000B1; 10.69</td>
<td valign="top" align="center">53.86 &#x000B1; 9.96</td>
<td valign="top" align="center">51.17 &#x000B1; 11.03</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">WBC (10<sup>3</sup>/&#x003BC;L)</td>
<td valign="top" align="center">10.29 &#x000B1; 3.80</td>
<td valign="top" align="center">9.80 &#x000B1; 3.57</td>
<td valign="top" align="center">10.63 &#x000B1; 3.92</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Hb (g/dL)</td>
<td valign="top" align="center">14.02 &#x000B1; 2.01</td>
<td valign="top" align="center">14.21 &#x000B1; 1.82</td>
<td valign="top" align="center">13.89 &#x000B1; 2.12</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Platelet (10<sup>3</sup>/&#x003BC;L)</td>
<td valign="top" align="center">235.28 &#x000B1; 73.45</td>
<td valign="top" align="center">232.40 &#x000B1; 63.33</td>
<td valign="top" align="center">237.30 &#x000B1; 79.72</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Glucose (mg/dL)</td>
<td valign="top" align="center">160.48 &#x000B1; 70.64</td>
<td valign="top" align="center">158.61 &#x000B1; 64.53</td>
<td valign="top" align="center">161.81 &#x000B1; 74.66</td>
<td valign="top" align="right">0.099</td></tr>
<tr>
<td valign="top" align="left">Creatinine (mg/dL)</td>
<td valign="top" align="center">1.11 &#x000B1; 1.08</td>
<td valign="top" align="center">1.01 &#x000B1; 0.85</td>
<td valign="top" align="center">1.17 &#x000B1; 1.21</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">eGFR (mL/min/1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">81.33 &#x000B1; 38.96</td>
<td valign="top" align="center">84.17 &#x000B1; 36.37</td>
<td valign="top" align="center">79.33 &#x000B1; 40.57</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">CK (&#x003BC;g/L)</td>
<td valign="top" align="center">966.38 &#x000B1; 1,629.55</td>
<td valign="top" align="center">810.05 &#x000B1; 1,455.73</td>
<td valign="top" align="center">1,072.71 &#x000B1; 1,729.90</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">CK-MB (ng/mL)</td>
<td valign="top" align="center">116.96 &#x000B1; 154.56</td>
<td valign="top" align="center">114.90 &#x000B1; 151.04</td>
<td valign="top" align="center">118.40 &#x000B1; 156.98</td>
<td valign="top" align="right">0.155</td></tr>
<tr>
<td valign="top" align="left">TnI (ng/mL)</td>
<td valign="top" align="center">44.42 &#x000B1; 94.90</td>
<td valign="top" align="center">44.35 &#x000B1; 94.40</td>
<td valign="top" align="center">44.47 &#x000B1; 95.26</td>
<td valign="top" align="right">0.943</td></tr>
<tr>
<td valign="top" align="left">TC (mg/dL)</td>
<td valign="top" align="center">179.25 &#x000B1; 45.65</td>
<td valign="top" align="center">179.94 &#x000B1; 43.52</td>
<td valign="top" align="center">178.76 &#x000B1; 47.08</td>
<td valign="top" align="right">0.119</td></tr>
<tr>
<td valign="top" align="left">TG (mg/dL)</td>
<td valign="top" align="center">142.50 &#x000B1; 110.90</td>
<td valign="top" align="center">141.89 &#x000B1; 114.06</td>
<td valign="top" align="center">142.92 &#x000B1; 108.63</td>
<td valign="top" align="right">0.573</td></tr>
<tr>
<td valign="top" align="left">HDL-C (mg/dL)</td>
<td valign="top" align="center">43.29 &#x000B1; 11.76</td>
<td valign="top" align="center">44.35 &#x000B1; 11.71</td>
<td valign="top" align="center">42.54 &#x000B1; 11.74</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">LDL-C (mg/dL)</td>
<td valign="top" align="center">112.26 &#x000B1; 38.93</td>
<td valign="top" align="center">111.93 &#x000B1; 37.85</td>
<td valign="top" align="center">112.49 &#x000B1; 39.65</td>
<td valign="top" align="right">0.398</td></tr>
<tr>
<td valign="top" align="left">NT-proBNP (pg/mL)</td>
<td valign="top" align="center">2,104.28 &#x000B1; 7,921.83</td>
<td valign="top" align="center">810.40 &#x000B1; 2,950.31</td>
<td valign="top" align="center">3,168.18 &#x000B1; 10,232.32</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">BNP (pg/mL)</td>
<td valign="top" align="center">105.43 &#x000B1; 428.71</td>
<td valign="top" align="center">82.64 &#x000B1; 269.69</td>
<td valign="top" align="center">114.17 &#x000B1; 475.59</td>
<td valign="top" align="right">0.049</td></tr>
<tr>
<td valign="top" align="left">HbA1c (&#x00025;)</td>
<td valign="top" align="center">6.45 &#x000B1; 1.42</td>
<td valign="top" align="center">6.35 &#x000B1; 1.30</td>
<td valign="top" align="center">6.53 &#x000B1; 1.48</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">IRA</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="right">0.171</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Left main</td>
<td valign="top" align="center">397 (2.4)</td>
<td valign="top" align="center">147 (2.2)</td>
<td valign="top" align="center">250 (2.6)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;LAD</td>
<td valign="top" align="center">7,664 (46.8)</td>
<td valign="top" align="center">3,177 (47.0)</td>
<td valign="top" align="center">4,487 (46.7)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;LCX</td>
<td valign="top" align="center">2,852 (17.4)</td>
<td valign="top" align="center">1,147 (17.0)</td>
<td valign="top" align="center">1,705 (17.7)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;RCA</td>
<td valign="top" align="center">5,458 (33.3)</td>
<td valign="top" align="center">2,282 (33.8)</td>
<td valign="top" align="center">3,176 (33.0)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Multivessel PCI</td>
<td valign="top" align="center">2,499 (15.3)</td>
<td valign="top" align="center">867 (12.8)</td>
<td valign="top" align="center">1,632 (17.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">PreTIMI 0/1</td>
<td valign="top" align="center">9,385 (57.9)</td>
<td valign="top" align="center">3,864 (58.0)</td>
<td valign="top" align="center">5,521 (57.9)</td>
<td valign="top" align="right">0.964</td></tr>
<tr>
<td valign="top" align="left">PostTIMI 3</td>
<td valign="top" align="center">15,906 (97.2)</td>
<td valign="top" align="center">6,608 (97.9)</td>
<td valign="top" align="center">9,298 (96.7)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">ACC/AHA type B2/C lesion</td>
<td valign="top" align="center">13,659 (85.1)</td>
<td valign="top" align="center">5,426 (82.3)</td>
<td valign="top" align="center">8,233 (87.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Aspirin</td>
<td valign="top" align="center">16,342 (99.8)</td>
<td valign="top" align="center">6,745 (99.9)</td>
<td valign="top" align="center">9,597 (99.8)</td>
<td valign="top" align="right">0.191</td></tr>
<tr>
<td valign="top" align="left">Clopidogrel</td>
<td valign="top" align="center">10,491 (64.1)</td>
<td valign="top" align="center">4,201 (62.2)</td>
<td valign="top" align="center">6,290 (65.4)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">PotentP2Y12</td>
<td valign="top" align="center">8,156 (49.8)</td>
<td valign="top" align="center">3,392 (50.2)</td>
<td valign="top" align="center">4,764 (49.5)</td>
<td valign="top" align="right">0.388</td></tr>
<tr>
<td valign="top" align="left">Cilostazol</td>
<td valign="top" align="center">1,066 (6.5)</td>
<td valign="top" align="center">435 (6.4)</td>
<td valign="top" align="center">631 (6.6)</td>
<td valign="top" align="right">0.786</td></tr>
<tr>
<td valign="top" align="left">Calcium channel blocker</td>
<td valign="top" align="center">1,218 (7.4)</td>
<td valign="top" align="center">496 (7.3)</td>
<td valign="top" align="center">722 (7.5)</td>
<td valign="top" align="right">0.720</td></tr>
<tr>
<td valign="top" align="left">B-blocker</td>
<td valign="top" align="center">13,566 (82.9)</td>
<td valign="top" align="center">5,606 (83.0)</td>
<td valign="top" align="center">7,960 (82.8)</td>
<td valign="top" align="right">0.687</td></tr>
<tr>
<td valign="top" align="left">RAASi</td>
<td valign="top" align="center">12,592 (76.9)</td>
<td valign="top" align="center">5,089 (75.4)</td>
<td valign="top" align="center">7,503 (78.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Statins</td>
<td valign="top" align="center">15,648 (95.6)</td>
<td valign="top" align="center">6,477 (95.9)</td>
<td valign="top" align="center">9,171 (95.4)</td>
<td valign="top" align="right">0.093</td></tr>
<tr>
<td valign="top" align="left">Oral anticoagulation</td>
<td valign="top" align="center">413 (2.5)</td>
<td valign="top" align="center">122 (1.8)</td>
<td valign="top" align="center">291 (3.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn1-kjim-2025-382">
<p>Values are presented as mean &#x000B1; standard deviation, number (&#x00025;), or median &#x0005B;interquartile range&#x0005D;.</p></fn>
<fn id="tfn2-kjim-2025-382">
<p>STEMI, ST-segment elevation myocardial infarction; hs-CRP, high-sensitivity C-reactive protein; BMI, body mass index; MI, myocardial infarction; HF, heart failure; LVEF, left ventricular ejection fraction; WBC, white blood cell count; Hb, hemoglobin; eGFR, estimated glomerular filtration rate; CK-MB, creatine kinase&#x02013;MB isoenzyme; TnI, troponin-I; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; NT-proBNP, N-terminal proB-type natriuretic peptide; HbA1c, glycated hemoglobin; IRA, infarct-related artery; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery; PCI, percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction; ACC/AHA, American College of Cardiology/American Heart Association; RAASi, renin&#x02013;angiotensin&#x02013;aldosterone system inhibitor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t2-kjim-2025-382" position="float">
<label>Table 2</label>
<caption>
<p>Clinical characteristics of the landmark cohort at 1-year follow-up (according to hs-CRP levels at 1 year)</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">Overall (n = 5,389)</th>
<th valign="middle" align="center">Low hs-CRP, &lt; 2 (n = 3,830)</th>
<th valign="middle" align="center">High hs-CRP, &#x02265; 2 (n = 1,559)</th>
<th valign="middle" align="center"><italic>p</italic> value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (yr)</td>
<td valign="top" align="center">61.91 &#x000B1; 11.78</td>
<td valign="top" align="center">61.16 &#x000B1; 11.38</td>
<td valign="top" align="center">63.75 &#x000B1; 12.53</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">4,275 (79.3)</td>
<td valign="top" align="center">3,075 (80.3)</td>
<td valign="top" align="center">1,200 (77.0)</td>
<td valign="top" align="right">0.007</td></tr>
<tr>
<td valign="top" align="left">Clinical presentation as STEMI</td>
<td valign="top" align="center">2,913 (54.1)</td>
<td valign="top" align="center">2,089 (54.5)</td>
<td valign="top" align="center">824 (52.9)</td>
<td valign="top" align="right">0.272</td></tr>
<tr>
<td valign="top" align="left">hs-CRP at baseline (mg/L)</td>
<td valign="top" align="center">2.90 &#x0005B;0.94&#x02013;8.15&#x0005D;</td>
<td valign="top" align="center">0.80 &#x0005B;0.40&#x02013;1.19&#x0005D;</td>
<td valign="top" align="center">6.38 &#x0005B;3.05&#x02013;17.80&#x0005D;</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">hs-CRP at 1 year (mg/L)</td>
<td valign="top" align="center">0.81 &#x0005B;0.38&#x02013;2.43&#x0005D;</td>
<td valign="top" align="center">0.50 &#x0005B;0.30&#x02013;0.92&#x0005D;</td>
<td valign="top" align="center">4.90 &#x0005B;3.00&#x02013;10.60&#x0005D;</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Killip classification III/IV</td>
<td valign="top" align="center">568 (10.5)</td>
<td valign="top" align="center">339 (8.9)</td>
<td valign="top" align="center">229 (14.7)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">2,606 (48.4)</td>
<td valign="top" align="center">1,798 (46.9)</td>
<td valign="top" align="center">808 (51.8)</td>
<td valign="top" align="right">0.001</td></tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">1,346 (25.0)</td>
<td valign="top" align="center">933 (24.4)</td>
<td valign="top" align="center">413 (26.5)</td>
<td valign="top" align="right">0.109</td></tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td valign="top" align="center">908 (16.8)</td>
<td valign="top" align="center">664 (17.3)</td>
<td valign="top" align="center">244 (15.7)</td>
<td valign="top" align="right">0.145</td></tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">24.41 &#x000B1; 3.29</td>
<td valign="top" align="center">24.44 &#x000B1; 3.21</td>
<td valign="top" align="center">24.35 &#x000B1; 3.50</td>
<td valign="top" align="right">0.396</td></tr>
<tr>
<td valign="top" align="left">Previous MI</td>
<td valign="top" align="center">286 (5.3)</td>
<td valign="top" align="center">179 (4.7)</td>
<td valign="top" align="center">107 (6.9)</td>
<td valign="top" align="right">0.001</td></tr>
<tr>
<td valign="top" align="left">Previous angina</td>
<td valign="top" align="center">351 (6.5)</td>
<td valign="top" align="center">225 (5.9)</td>
<td valign="top" align="center">126 (8.1)</td>
<td valign="top" align="right">0.004</td></tr>
<tr>
<td valign="top" align="left">Previous heart failure</td>
<td valign="top" align="center">47 (0.9)</td>
<td valign="top" align="center">26 (0.7)</td>
<td valign="top" align="center">21 (1.3)</td>
<td valign="top" align="right">0.026</td></tr>
<tr>
<td valign="top" align="left">Previous stroke</td>
<td valign="top" align="center">313 (5.8)</td>
<td valign="top" align="center">204 (5.3)</td>
<td valign="top" align="center">109 (7.0)</td>
<td valign="top" align="right">0.021</td></tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td valign="top" align="center">2,266 (42.0)</td>
<td valign="top" align="center">1,596 (41.7)</td>
<td valign="top" align="center">670 (43.0)</td>
<td valign="top" align="right">0.395</td></tr>
<tr>
<td valign="top" align="left">IRA</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="right">0.081</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Left main</td>
<td valign="top" align="center">115 (2.1)</td>
<td valign="top" align="center">73 (1.9)</td>
<td valign="top" align="center">42 (2.7)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Left anterior descending</td>
<td valign="top" align="center">2,479 (46.0)</td>
<td valign="top" align="center">1,796 (46.9)</td>
<td valign="top" align="center">683 (43.8)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Left circumflex</td>
<td valign="top" align="center">981 (18.2)</td>
<td valign="top" align="center">685 (17.9)</td>
<td valign="top" align="center">296 (19.0)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Right coronary</td>
<td valign="top" align="center">1,814 (33.7)</td>
<td valign="top" align="center">1,276 (33.3)</td>
<td valign="top" align="center">538 (34.5)</td>
<td valign="top" align="right"/></tr>
<tr>
<td valign="top" align="left">Multivessel PCI</td>
<td valign="top" align="center">793 (14.7)</td>
<td valign="top" align="center">556 (14.5)</td>
<td valign="top" align="center">237 (15.2)</td>
<td valign="top" align="right">0.548</td></tr>
<tr>
<td valign="top" align="left">Pre-TIMI 0/1</td>
<td valign="top" align="center">3,204 (59.8)</td>
<td valign="top" align="center">2,348 (61.7)</td>
<td valign="top" align="center">856 (55.2)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Post-TIMI 3</td>
<td valign="top" align="center">5,205 (96.6)</td>
<td valign="top" align="center">3,706 (96.8)</td>
<td valign="top" align="center">1,499 (96.2)</td>
<td valign="top" align="right">0.300</td></tr>
<tr>
<td valign="top" align="left">ACC/AHA type B2/C lesion</td>
<td valign="top" align="center">4,421 (83.6)</td>
<td valign="top" align="center">3,126 (83.4)</td>
<td valign="top" align="center">1,295 (84.2)</td>
<td valign="top" align="right">0.491</td></tr>
<tr>
<td valign="top" align="left">LVEF-1 year (&#x00025;)</td>
<td valign="top" align="center">55.77 &#x000B1; 10.49</td>
<td valign="top" align="center">56.08 &#x000B1; 10.33</td>
<td valign="top" align="center">54.97 &#x000B1; 10.88</td>
<td valign="top" align="right">0.003</td></tr>
<tr>
<td valign="top" align="left">WBC-1 year (10<sup>3</sup>/&#x003BC;L)</td>
<td valign="top" align="center">7.10 &#x000B1; 2.15</td>
<td valign="top" align="center">6.89 &#x000B1; 2.02</td>
<td valign="top" align="center">7.63 &#x000B1; 2.36</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Hemoglobin-1 year (g/dL)</td>
<td valign="top" align="center">13.76 &#x000B1; 1.81</td>
<td valign="top" align="center">13.96 &#x000B1; 1.67</td>
<td valign="top" align="center">13.25 &#x000B1; 2.03</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Platelet-1 year (10<sup>3</sup>/&#x003BC;L)</td>
<td valign="top" align="center">224.39 &#x000B1; 63.66</td>
<td valign="top" align="center">220.35 &#x000B1; 57.88</td>
<td valign="top" align="center">234.24 &#x000B1; 75.03</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Glucose- 1 year (mg/dL)</td>
<td valign="top" align="center">116.83 &#x000B1; 39.11</td>
<td valign="top" align="center">115.24 &#x000B1; 36.12</td>
<td valign="top" align="center">121.17 &#x000B1; 46.00</td>
<td valign="top" align="right">0.002</td></tr>
<tr>
<td valign="top" align="left">Creatinine-1 year (mg/dL)</td>
<td valign="top" align="center">1.07 &#x000B1; 0.98</td>
<td valign="top" align="center">0.99 &#x000B1; 0.70</td>
<td valign="top" align="center">1.25 &#x000B1; 1.43</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">eGFR-1 year (mL/min/1.73 m<sup>2</sup>)</td>
<td valign="top" align="center">80.93 &#x000B1; 26.04</td>
<td valign="top" align="center">82.89 &#x000B1; 23.94</td>
<td valign="top" align="center">76.11 &#x000B1; 30.07</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">TC-1 year (mg/dL)</td>
<td valign="top" align="center">134.12 &#x000B1; 32.85</td>
<td valign="top" align="center">133.84 &#x000B1; 29.87</td>
<td valign="top" align="center">134.83 &#x000B1; 39.50</td>
<td valign="top" align="right">0.342</td></tr>
<tr>
<td valign="top" align="left">TG-1 year (mg/dL)</td>
<td valign="top" align="center">131.72 &#x000B1; 88.13</td>
<td valign="top" align="center">131.19 &#x000B1; 87.89</td>
<td valign="top" align="center">133.10 &#x000B1; 88.75</td>
<td valign="top" align="right">0.503</td></tr>
<tr>
<td valign="top" align="left">HDL-C-1 year (mg/dL)</td>
<td valign="top" align="center">44.83 &#x000B1; 12.57</td>
<td valign="top" align="center">45.62 &#x000B1; 12.21</td>
<td valign="top" align="center">42.74 &#x000B1; 13.26</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">LDL-C-1 year (mg/dL)</td>
<td valign="top" align="center">68.14 &#x000B1; 25.28</td>
<td valign="top" align="center">67.66 &#x000B1; 24.32</td>
<td valign="top" align="center">69.42 &#x000B1; 27.63</td>
<td valign="top" align="right">0.031</td></tr>
<tr>
<td valign="top" align="left">NT-proBNP (pg/mL)</td>
<td valign="top" align="center">1,115.63 &#x000B1; 3,654.51</td>
<td valign="top" align="center">629.85 &#x000B1; 2,397.56</td>
<td valign="top" align="center">1,864.05 &#x000B1; 4,918.16</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">BNP (pg/mL)</td>
<td valign="top" align="center">78.30 &#x000B1; 621.57</td>
<td valign="top" align="center">61.00 &#x000B1; 619.32</td>
<td valign="top" align="center">124.40 &#x000B1; 626.89</td>
<td valign="top" align="right">0.237</td></tr>
<tr>
<td valign="top" align="left">HbA1c (&#x00025;)</td>
<td valign="top" align="center">6.48 &#x000B1; 1.25</td>
<td valign="top" align="center">6.43 &#x000B1; 1.18</td>
<td valign="top" align="center">6.64 &#x000B1; 1.41</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Aspirin</td>
<td valign="top" align="center">4,058 (75.3)</td>
<td valign="top" align="center">2,879 (75.2)</td>
<td valign="top" align="center">1,179 (75.6)</td>
<td valign="top" align="right">0.751</td></tr>
<tr>
<td valign="top" align="left">Clopidogrel</td>
<td valign="top" align="center">3,499 (64.9)</td>
<td valign="top" align="center">2,470 (64.5)</td>
<td valign="top" align="center">1,029 (66.0)</td>
<td valign="top" align="right">0.306</td></tr>
<tr>
<td valign="top" align="left">PotentP2Y12</td>
<td valign="top" align="center">583 (10.8)</td>
<td valign="top" align="center">413 (10.8)</td>
<td valign="top" align="center">170 (10.9)</td>
<td valign="top" align="right">0.935</td></tr>
<tr>
<td valign="top" align="left">Cilostazol</td>
<td valign="top" align="center">160 (3.0)</td>
<td valign="top" align="center">112 (2.9)</td>
<td valign="top" align="center">48 (3.1)</td>
<td valign="top" align="right">0.830</td></tr>
<tr>
<td valign="top" align="left">Calcium channel blocker</td>
<td valign="top" align="center">821 (15.2)</td>
<td valign="top" align="center">544 (14.2)</td>
<td valign="top" align="center">277 (17.8)</td>
<td valign="top" align="right">0.001</td></tr>
<tr>
<td valign="top" align="left">B-blocker</td>
<td valign="top" align="center">4,154 (77.1)</td>
<td valign="top" align="center">3,014 (78.7)</td>
<td valign="top" align="center">1,140 (73.1)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">RAASi</td>
<td valign="top" align="center">3,939 (73.1)</td>
<td valign="top" align="center">2,835 (74.0)</td>
<td valign="top" align="center">1,104 (70.8)</td>
<td valign="top" align="right">0.018</td></tr>
<tr>
<td valign="top" align="left">Statins</td>
<td valign="top" align="center">5,146 (95.5)</td>
<td valign="top" align="center">3,701 (96.6)</td>
<td valign="top" align="center">1,445 (92.7)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Oral anticoagulation</td>
<td valign="top" align="center">190 (3.5)</td>
<td valign="top" align="center">122 (3.2)</td>
<td valign="top" align="center">68 (4.4)</td>
<td valign="top" align="right">0.041</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn3-kjim-2025-382">
<p>Values are presented as mean &#x000B1; standard deviation, number (&#x00025;), or median &#x0005B;interquartile range&#x0005D;.</p></fn>
<fn id="tfn4-kjim-2025-382">
<p>hs-CRP, high-sensitivity C-reactive protein; STEMI, ST-segment elevation myocardial infarction; BMI, body mass index; MI, myocardial infarction; IRA, infarct-related artery; PCI, percutaneous coronary intervention; TIMI, thrombolysis in myocardial infarction; ACC/AHA, American College of Cardiology/American Heart Association; LVEF, left ventricular ejection fraction; WBC, white blood cell count; eGFR, estimated glomerular filtration rate; TC, total cholesterol; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; NT-proBNP, N-terminal pro&#x02013;B-type natriuretic peptide; HbA1c, glycated hemoglobin; RAASi, renin&#x02013;angiotensin&#x02013;aldosterone system inhibitor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t3-kjim-2025-382" position="float">
<label>Table 3</label>
<caption>
<p>Clinical outcomes according to baseline hs-CRP levels</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left">Outcome</th>
<th valign="middle" align="left"/>
<th valign="middle" align="center">High_hs-CRP (&#x02265; 2 mg/L)</th>
<th valign="middle" align="center">Low_hs-CRP (&lt; 2 mg/L)</th>
<th valign="middle" align="center">Log-rank <italic>p</italic> value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">For 3 years</td>
<td valign="top" align="left">All causes of death</td>
<td valign="top" align="center">658 (7.3)</td>
<td valign="top" align="center">185 (3.0)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MACE</td>
<td valign="top" align="center">1,229 (13.7)</td>
<td valign="top" align="center">687 (10.9)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Cardiovascular deaths</td>
<td valign="top" align="center">322 (3.5)</td>
<td valign="top" align="center">98 (1.6)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MI</td>
<td valign="top" align="center">236 (2.7)</td>
<td valign="top" align="center">118 (1.9)</td>
<td valign="top" align="right">0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">CVA</td>
<td valign="top" align="center">203 (2.3)</td>
<td valign="top" align="center">105 (1.7)</td>
<td valign="top" align="right">0.005</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Repeat revascularization</td>
<td valign="top" align="center">693 (8)</td>
<td valign="top" align="center">475 (7.6)</td>
<td valign="top" align="right">0.384</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Stent thrombosis</td>
<td valign="top" align="center">45 (0.5)</td>
<td valign="top" align="center">16 (0.3)</td>
<td valign="top" align="right">0.013</td></tr>
<tr>
<td valign="top" align="left">&lt; 1 year</td>
<td valign="top" align="left">All causes of death</td>
<td valign="top" align="center">353 (3.7)</td>
<td valign="top" align="center">86 (1.3)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MACE</td>
<td valign="top" align="center">717 (7.6)</td>
<td valign="top" align="center">345 (5.2)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Cardiovascular deaths</td>
<td valign="top" align="center">197 (2.1)</td>
<td valign="top" align="center">51 (0.8)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MI</td>
<td valign="top" align="center">162 (1.7)</td>
<td valign="top" align="center">62 (0.9)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">CVA</td>
<td valign="top" align="center">119 (1.3)</td>
<td valign="top" align="center">46 (0.7)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Repeat revascularization</td>
<td valign="top" align="center">366 (4)</td>
<td valign="top" align="center">233 (3.5)</td>
<td valign="top" align="right">0.175</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Stent thrombosis</td>
<td valign="top" align="center">24 (0.3)</td>
<td valign="top" align="center">9 (0.1)</td>
<td valign="top" align="right">0.096</td></tr>
<tr>
<td valign="top" align="left">&#x02265; 1 year</td>
<td valign="top" align="left">All causes of death</td>
<td valign="top" align="center">305 (3.7)</td>
<td valign="top" align="center">99 (1.7)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MACE</td>
<td valign="top" align="center">512 (6.6)</td>
<td valign="top" align="center">342 (6)</td>
<td valign="top" align="right">0.163</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Cardiovascular deaths</td>
<td valign="top" align="center">125 (1.5)</td>
<td valign="top" align="center">47 (0.8)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">MI</td>
<td valign="top" align="center">74 (1)</td>
<td valign="top" align="center">56 (0.9)</td>
<td valign="top" align="right">0.862</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">CVA</td>
<td valign="top" align="center">84 (1.1)</td>
<td valign="top" align="center">59 (1)</td>
<td valign="top" align="right">0.801</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Repeat revascularization</td>
<td valign="top" align="center">327 (4.2)</td>
<td valign="top" align="center">242 (4.2)</td>
<td valign="top" align="right">0.886</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Stent thrombosis</td>
<td valign="top" align="center">21 (0.3)</td>
<td valign="top" align="center">7 (0.1)</td>
<td valign="top" align="right">0.064</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn5-kjim-2025-382">
<p>Values are presented as number (&#x00025;).</p></fn>
<fn id="tfn6-kjim-2025-382">
<p>hs-CRP, high-sensitivity C-reactive protein; MACE, major adverse cardiovascular events; MI, myocardial infarction; CVA, cerebrovascular accident.</p></fn>
<fn id="tfn7-kjim-2025-382">
<p>MACE was defined as a composite of cardiovascular death, MI, CVA, repeat revascularization, and stent thrombosis.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t4-kjim-2025-382" position="float">
<label>Table 4</label>
<caption>
<p>Time-stratified associations of baseline and 1-year hs-CRP with clinical outcomes after AMI</p></caption>
<table frame="box" rules="groups">
<thead>
<tr>
<th valign="middle" rowspan="3" align="left">Outcome</th>
<th colspan="4" valign="middle" align="center">Baseline hs-CRP (0&#x02013;1 y)</th>
<th colspan="4" valign="middle" align="center">Baseline hs-CRP (1&#x02013;3 y)</th>
<th colspan="4" valign="middle" align="center">1-year hs-CRP (1&#x02013;3 y)</th></tr>
<tr>
<th colspan="4" valign="middle" align="center">
<hr/></th>
<th colspan="4" valign="middle" align="center">
<hr/></th>
<th colspan="4" valign="middle" align="center">
<hr/></th></tr>
<tr>
<th valign="middle" align="center">Unadjusted HR (95&#x00025; CI)</th>
<th valign="middle" align="center"><italic>p</italic> value</th>
<th valign="middle" align="center">Adjusted HR (95&#x00025; CI)</th>
<th valign="middle" align="center"><italic>p</italic> value</th>
<th valign="middle" align="center">Unadjusted HR (95&#x00025; CI)</th>
<th valign="middle" align="center"><italic>p</italic> value</th>
<th valign="middle" align="center">Adjusted HR (95&#x00025; CI)</th>
<th valign="middle" align="center"><italic>p</italic> value</th>
<th valign="middle" align="center">Unadjusted HR (95&#x00025; CI)</th>
<th valign="middle" align="center"><italic>p</italic> value</th>
<th valign="middle" align="center">Adjusted HR (95&#x00025; CI)</th>
<th valign="middle" align="center"><italic>p</italic> value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">All death</td>
<td valign="top" align="center">2.98 (2.34&#x02013;3.79)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">2.49 (1.95&#x02013;3.18)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">2.24 (1.78&#x02013;2.82)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.93 (1.53&#x02013;2.43)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">4.33 (3.03&#x02013;6.18)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">2.93 (1.90&#x02013;4.53)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td colspan="13" valign="bottom" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">MACE</td>
<td valign="top" align="center">1.49 (1.31&#x02013;1.69)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.38 (1.21&#x02013;1.57)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.09 (0.95&#x02013;1.25)</td>
<td valign="top" align="right">0.212</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/>
<td valign="top" align="center">1.63 (1.27&#x02013;2.08)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.33 (1.01&#x02013;1.77)</td>
<td valign="top" align="right">0.045</td></tr>
<tr>
<td colspan="13" valign="bottom" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Cardiovascular death</td>
<td valign="top" align="center">2.82 (2.06&#x02013;3.87)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">2.29 (1.66&#x02013;3.15)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.97 (1.40&#x02013;2.78)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.62 (1.15&#x02013;2.29)</td>
<td valign="top" align="right">0.006</td>
<td valign="top" align="center">3.84 (2.15&#x02013;6.84)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">2.42 (1.16&#x02013;5.03)</td>
<td valign="top" align="right">0.018</td></tr>
<tr>
<td colspan="13" valign="bottom" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">MI</td>
<td valign="top" align="center">1.84 (1.37&#x02013;2.47)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.62 (1.20&#x02013;2.19)</td>
<td valign="top" align="right">0.002</td>
<td valign="top" align="center">0.95 (0.67&#x02013;1.35)</td>
<td valign="top" align="right">0.789</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/>
<td valign="top" align="center">0.95 (0.44&#x02013;2.04)</td>
<td valign="top" align="right">0.888</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/></tr>
<tr>
<td colspan="13" valign="bottom" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">CVA</td>
<td valign="top" align="center">1.86 (1.31&#x02013;2.63)</td>
<td valign="top" align="right">&lt; 0.001</td>
<td valign="top" align="center">1.78 (1.26&#x02013;2.53)</td>
<td valign="top" align="right">0.001</td>
<td valign="top" align="center">1.03 (0.74&#x02013;1.44)</td>
<td valign="top" align="right">0.871</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/>
<td valign="top" align="center">1.72 (0.99&#x02013;3.00)</td>
<td valign="top" align="right">0.054</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/></tr>
<tr>
<td colspan="13" valign="bottom" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Repeat revasc.</td>
<td valign="top" align="center">1.12 (0.95&#x02013;1.32)</td>
<td valign="top" align="right">0.191</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/>
<td valign="top" align="center">0.97 (0.82&#x02013;1.15)</td>
<td valign="top" align="right">0.763</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/>
<td valign="top" align="center">1.17 (0.84&#x02013;1.64)</td>
<td valign="top" align="right">0.344</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/></tr>
<tr>
<td colspan="13" valign="bottom" align="left">
<hr/></td></tr>
<tr>
<td valign="top" align="left">Stent thrombosis</td>
<td valign="top" align="center">1.81 (0.84&#x02013;3.92)</td>
<td valign="top" align="right">0.130</td>
<td valign="top" align="center">1.85 (0.86&#x02013;4.01)</td>
<td valign="top" align="right">0.116</td>
<td valign="top" align="center">2.19 (0.93&#x02013;5.15)</td>
<td valign="top" align="right">0.073</td>
<td valign="top" align="center">2.17 (0.92&#x02013;5.12)</td>
<td valign="top" align="right">0.076</td>
<td valign="top" align="center">1.54 (0.37&#x02013;6.43)</td>
<td valign="top" align="right">0.556</td>
<td valign="top" align="center">-</td>
<td valign="top" align="right"/></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn8-kjim-2025-382">
<p>hs-CRP, high-sensitivity C-reactive protein; AMI, acute myocardial infarction; HR, hazard ratio; CI, confidence interval; MACE, major adverse cardiovascular events; MI, myocardial infarction; CVA, cerebrovascular accident.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t5-kjim-2025-382" position="float">
<label>Table 5</label>
<caption>
<p>Clinical outcomes according to 1-year hs-CRP level</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" align="left">Outcome</th>
<th valign="middle" align="center">High hs-CRP (&#x02265; 2 mg/L)</th>
<th valign="middle" align="center">Low hs-CRP (&lt; 2 mg/L)</th>
<th valign="middle" align="center">Log-rank <italic>p</italic> value</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">All causes of death</td>
<td valign="top" align="right">83 (5.9)</td>
<td valign="top" align="right">52 (1.5)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">MACE</td>
<td valign="top" align="right">106 (7.3)</td>
<td valign="top" align="right">163 (4.8)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">Cardiovascular deaths</td>
<td valign="top" align="right">30 (2.1)</td>
<td valign="top" align="right">21 (0.7)</td>
<td valign="top" align="right">&lt; 0.001</td></tr>
<tr>
<td valign="top" align="left">MI</td>
<td valign="top" align="right">9 (0.8)</td>
<td valign="top" align="right">24 (0.7)</td>
<td valign="top" align="right">0.889</td></tr>
<tr>
<td valign="top" align="left">CVA</td>
<td valign="top" align="right">21 (1.5)</td>
<td valign="top" align="right">31 (1.0)</td>
<td valign="top" align="right">0.051</td></tr>
<tr>
<td valign="top" align="left">Repeat revascularization</td>
<td valign="top" align="right">54 (3.7)</td>
<td valign="top" align="right">110 (3.2)</td>
<td valign="top" align="right">0.187</td></tr>
<tr>
<td valign="top" align="left">Stent thrombosis</td>
<td valign="top" align="right">3 (0.2)</td>
<td valign="top" align="right">5 (0.2)</td>
<td valign="top" align="right">0.552</td></tr></tbody></table>
<table-wrap-foot>
<fn id="tfn9-kjim-2025-382">
<p>Values are presented as number (&#x00025;).</p></fn>
<fn id="tfn10-kjim-2025-382">
<p>hs-CRP, high-sensitivity C-reactive protein; MACE, major adverse cardiovascular events; MI, myocardial infarction; CVA, cerebrovascular accident.</p></fn>
<fn id="tfn11-kjim-2025-382">
<p>MACE was defined as a composite of cardiovascular death, MI, CVA, repeat revascularization, and stent thrombosis.</p></fn></table-wrap-foot></table-wrap></sec></back></article>
