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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">KJIM</journal-id>
<journal-title-group>
<journal-title>The Korean Journal of Internal Medicine</journal-title><abbrev-journal-title>Korean J Intern Med</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">1226-3303</issn>
<issn pub-type="epub">2005-6648</issn>
<publisher>
<publisher-name>The Korean Association of Internal Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3904/kjim.2017.204</article-id>
<article-id pub-id-type="publisher-id">kjim-2017-204</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
<subj-group subj-group-type="heading">
<subject>Pulmonology</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Nonpulmonary risk factors of acute respiratory distress syndrome in patients with septic bacteraemia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Nam</surname><given-names>Hyunseung</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2017-204"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jang</surname><given-names>Seung Hun</given-names></name>
<xref ref-type="aff" rid="af2-kjim-2017-204"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hwang</surname><given-names>Yong Il</given-names></name>
<xref ref-type="aff" rid="af2-kjim-2017-204"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Joo-Hee</given-names></name>
<xref ref-type="aff" rid="af2-kjim-2017-204"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Ji Young</given-names></name>
<xref ref-type="aff" rid="af2-kjim-2017-204"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Sunghoon</given-names></name>
<xref ref-type="corresp" rid="c1-kjim-2017-204"/>
<xref ref-type="aff" rid="af2-kjim-2017-204"><sup>2</sup></xref>
</contrib>
<aff id="af1-kjim-2017-204">
<label>1</label>Department of Internal Medicine, Allergy and Critical Care Medicine, Hallym University Sacred Heart Hospital, Anyang, <country>Korea</country></aff>
<aff id="af2-kjim-2017-204">
<label>2</label>Department of Pulmonary, Allergy and Critical Care Medicine, Hallym University Sacred Heart Hospital, Anyang, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjim-2017-204">Correspondence to Sunghoon Park, M.D. Department of Pulmonary, Allergy and Critical Care Medicine, Hallym University Sacred Heart Hospital, 22 Gwanpyeong-ro 170beon-gil, Dongan-gu, Anyang 14068, Korea Tel: +82-31-380-3715 Fax: +82-31-380-3973 E-mail: <email>f2000tj@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>1</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>14</day>
<month>6</month>
<year>2018</year></pub-date>
<volume>34</volume>
<issue>1</issue>
<fpage>116</fpage>
<lpage>124</lpage>
<history>
<date date-type="received">
<day>7</day>
<month>06</month>
<year>2017</year></date>
<date date-type="rev-recd">
<day>7</day>
<month>01</month>
<year>2018</year></date>
<date date-type="accepted">
<day>5</day>
<month>03</month>
<year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2019 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>2019</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">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>The relationship between nonpulmonary organ failure and the development of acute respiratory distress syndrome (ARDS) in patients with sepsis has not been well studied.</p></sec>
<sec><title>Methods</title>
<p>We retrospectively reviewed the medical records of patients with septic bacteremia admitted to the medical intensive care unit (ICU) of a tertiary academic hospital between January 2013 and December 2016.</p></sec>
<sec><title>Results</title>
<p>The study enrolled 125 patients of median age 73.0 years. Urinary (n &#x0003d; 47), hepatobiliary (n &#x0003d; 30), and pulmonary infections (n &#x0003d; 28) were the most common causes of sepsis; the incidence of ARDS was 17.6%. The total number of nonpulmonary organ failures at the time of ICU admission was higher in patients with ARDS than in those without (<italic>p</italic> &#x0003d; 0.011), and the cardiovascular, central nervous system (CNS), and coagulation scores were significantly higher in ARDS patients. On multivariate analysis, apart from pneumonia sepsis, the CNS (odds ratio [OR], 1.917; 95% confidence interval [CI], 1.097 to 3.348) and coagulation scores (OR, 2.669; 95% CI, 1.438 to 4.954) were significantly associated with ARDS development. The 28-day and in-hospital mortality rates were higher in those with ARDS than in those without (63.6 vs. 8.7%, <italic>p</italic> &lt; 0.001; 72.7% vs. 11.7%, <italic>p</italic> &lt; 0.001), and ARDS development was found to be an independent risk factor for 28-day mortality.</p></sec>
<sec><title>Conclusions</title>
<p>Apart from pneumonia, CNS dysfunction and coagulopathy were significantly associated with ARDS development, which was an independent risk factor for 28-day mortality.</p></sec>
</abstract>
<kwd-group>
<kwd>Respiratory distress syndrome, adult</kwd>
<kwd>Bacteremia</kwd>
<kwd>Organ failure</kwd>
<kwd>Sepsis</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Sepsis remains a major public health problem, accounting for 5.2% of the total United States hospital costs in 2011, and is the primary cause of death from infection &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2017-204">1</xref>&#x0005d;. The development of acute respiratory distress syndrome (ARDS) is not uncommon among patients with sepsis, triggered by a direct lung injury caused by pneumonia or an indirect lung injury attributable to infection of a distant organ (e.g., acute pancreatitis).</p>
<p>Less is known about the relationship between nonpulmonary organ failure and ARDS development. One multicenter observational study found that pneumonia sepsis was associated with ARDS development &#x0005b;<xref ref-type="bibr" rid="b2-kjim-2017-204">2</xref>&#x0005d;. In another observational prospective study, 4.6% of patients with extrapulmonary conditions developed ARDS. The likelihood of developing ARDS (or acute lung injury) was 35.6% in patients with shock and 1.4% in those with nonpulmonary sepsis without shock &#x0005b;<xref ref-type="bibr" rid="b3-kjim-2017-204">3</xref>&#x0005d;. However, because the lungs are one of the targets of an overwhelming acute systemic inflammatory response, the recognition of nonpulmonary organ failure as a risk factor for developing ARDS seems to be important &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2017-204">4</xref>&#x0005d;.</p>
<p>Multiorgan dysfunction in patients with sepsis is associated with increased in-hospital mortality. However, the data on the association between ARDS development and in-hospital mortality in patients with sepsis are conflicting. Two studies reported that, after adjusting for confounding factors, ARDS development after sepsis onset was not associated with an increased risk of mortality &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2017-204">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2017-204">6</xref>&#x0005d;, while an epidemiological study found the opposite &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2017-204">7</xref>&#x0005d;. Therefore, we explored whether ARDS is a risk factor for hospital death in patients with sepsis.</p>
<p>In this study, we evaluated nonpulmonary organ failure associated with the risk of ARDS development and the impact of ARDS on mortality in patients with septic bacteremia.</p></sec>
<sec sec-type="methods">
<title>METHODS</title>
<sec>
<title>Study population</title>
<p>This retrospective study was performed in a tertiary academic hospital (830 beds) from January 1, 2013 to December 31, 2016. Adult patients (aged &#x02265; 18 years) with septic bacteremia admitted to the medical intensive care unit (ICU) were screened initially. Bacteremia was diagnosed when at least two blood cultures were positive. The exclusion criteria were (1) a positive blood test result believed to be caused by contamination (i.e., only one positive culture); (2) liver cirrhosis (&#x02265; Child-Pugh B grade); (3) an uncontrolled hematological malignancy or a solid cancer; (4) use of steroids or immunosuppressants; (5) cardiopulmonary resuscitation upon ICU admission; and (6) a do-not-resuscitate status. However, cancer patients were eligible if they had been in complete remission for &gt; 6 months, and patients who were taking low-dose steroids (i.e., &#x02264; 10 mg/day prednisolone or the equivalent) were also eligible. We used the Sepsis-3 definition to diagnose sepsis &#x0005b;<xref ref-type="bibr" rid="b8-kjim-2017-204">8</xref>,<xref ref-type="bibr" rid="b9-kjim-2017-204">9</xref>&#x0005d; and followed the treatment recommendations of the Surviving Sepsis Campaign &#x0005b;<xref ref-type="bibr" rid="b10-kjim-2017-204">10</xref>,<xref ref-type="bibr" rid="b11-kjim-2017-204">11</xref>&#x0005d;. We used the Berlin definition of ARDS &#x0005b;<xref ref-type="bibr" rid="b12-kjim-2017-204">12</xref>&#x0005d;. We measured ARDS incidence during the first week of sepsis and classified ARDS severity according to the ratio of the arterial oxygen tension to the inspired oxygen fraction (PaO<sub>2</sub>/FiO<sub>2</sub>): mild (200 &lt; PaO<sub>2</sub>/FiO<sub>2</sub> &#x02264; 300 mmHg), moderate (100 &lt; PaO<sub>2</sub>/FiO<sub>2</sub> &#x02264; 200 mmHg), and severe ARDS (PaO<sub>2</sub>/FiO<sub>2</sub> &#x02264; 100 mmHg).</p>
<p>The study was approved by the Hallym University Institutional Review Board (approval no. 2017-I049). The need for informed consent was waived because of the retrospective nature of the work.</p>
</sec>
<sec>
<title>Data collection and outcomes</title>
<p>We retrieved demographic characteristics and the following data by retrospective review of medical records: body mass index, the cause of sepsis, the organisms identified (and whether they were Gram-positive or -negative), sequential organ failure assessment (SOFA) scores and scores on the individual components thereof, and simplified acute physiology score II (SAPS II) at ICU admission. Laboratory data (i.e., the levels of lactate, C-reactive protein, and brain natriuretic peptide &#x0005b;BNP&#x0005d;), the appropriateness of empirical antibiotics, and bacterial multidrug resistance were also investigated. We used the six individual components of the SOFA to assess organ failure, which was performed before ARDS developed; organ failure was considered present when any individual score was &#x02265; 2.</p>
<p>The primary outcomes were the associations between nonpulmonary organ failure and ARDS development; we also sought independent factors predicting ARDS development. The secondary outcome was the effect of ARDS on 28-day mortality.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All categorical variables are presented as numbers with percentages, and all continuous variables as medians with interquartile ranges (IQRs), while survival times are presented as means and standard deviation. The Mann-Whitney <italic>U</italic> test was used to compare continuous variables, and the chi-square or Fisher&#x02019;s exact test to compare categorical variables. Logistic regression analysis was performed using covariates that were significant (<italic>p</italic> &lt; 0.05) on univariate analysis to identify independent risk factors for ARDS development; we employed a backward stepwise selection method based on the likelihood ratio. Kaplan-Meier survival curves with log-rank tests and Cox proportional hazard models based on a multivariate approach were also used. IBM SPSS for Windows version 22.01 (IBM Co., Armonk, NY, USA) was used for all statistical analyses.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Baseline characteristics</title>
<p>During the study period, 144 patients with septic bacteremia were screened initially; of these, 125 were enrolled (<xref rid="f1-kjim-2017-204" ref-type="fig">Fig. 1</xref>). The median patient age was 73.0 years (IQR, 59.0 to 80.0), and 67 were male (<xref rid="t1-kjim-2017-204" ref-type="table">Table 1</xref>). Sepsis and septic shock accounted for 51.2% and 48.8% of all patients, respectively; urinary tract infection (n &#x0003d; 47) was the most common cause of sepsis, followed by hepatobiliary infection (n &#x0003d; 30). Methicillin-resistant <italic>Staphylococcus aureus</italic> was the most common Gram-positive pathogen (17/31) and <italic>Escherichia coli</italic> the most common Gram-negative bacterium (52/94) (<xref rid="t2-kjim-2017-204" ref-type="table">Table 2</xref>). Forty-three patients (34.4%) were infected by multidrug-resistant pathogens, and 11 received inappropriate empirical antibiotics (<xref rid="t3-kjim-2017-204" ref-type="table">Table 3</xref>). The overall incidence of ARDS was 17.6% (22/125); those with pneumonia and skin and soft tissue infections had ARDS incidences of 35.7% (10/28) and 37.5% (3/8), respectively (<xref rid="f2-kjim-2017-204" ref-type="fig">Fig. 2</xref>). The median interval between ICU admission and ARDS development was 1.0 days (range, 0.5 to 3.0), and the number of patients with mild, moderate, and severe ARDS was four (18.2%), five (22.7%), and 13 (59.1%), respectively. Regarding hospital outcomes, both 28-day and in-hospital mortality rates were higher in patients with ARDS than in those without ARDS (63.6% vs. 8.7%, <italic>p</italic> &lt; 0.001; 72.7% vs. 11.7%, <italic>p</italic> &lt; 0.001) (<xref rid="t3-kjim-2017-204" ref-type="table">Table 3</xref>).</p>
</sec>
<sec>
<title>Organ failure and ARDS development</title>
<p>Patients who developed ARDS had higher SAPS II and SOFA scores at the time of ICU admission compared with those who did not develop ARDS (<xref rid="t1-kjim-2017-204" ref-type="table">Table 1</xref>). Of the six components of the SOFA score, the cardiovascular, central nervous system (CNS), respiratory, and coagulation scores were significantly higher in ARDS patients (<xref rid="f3-kjim-2017-204" ref-type="fig">Fig. 3A</xref>), and the incidence of ARDS increased with the number of nonpulmonary organ failures (<xref rid="f4-kjim-2017-204" ref-type="fig">Fig. 4</xref>). In addition, the cardiovascular, CNS, respiratory, renal, and coagulation scores were significantly higher in non-survivors than in survivors (<xref rid="f3-kjim-2017-204" ref-type="fig">Fig. 3B</xref>).</p>
</sec>
<sec>
<title>Risk factors for ARDS development</title>
<p>Univariate analyses indicated that a total of 12 variables (eight baseline variables and four organ failure scores) differed significantly between patients who did and those who did not develop ARDS (<xref rid="t1-kjim-2017-204" ref-type="table">Table 1</xref> and <xref rid="f3-kjim-2017-204" ref-type="fig">Fig. 3A</xref>). After considering overlaps in significance, we selected eight variables (pneumonia sepsis, Gram-negative infection, blood urea nitrogen level, C-reactive protein level, three organ failure scores &#x0005b;cardiovascular, CNS, and coagulation scores&#x0005d;, and the number of nonpulmonary organ failures), as well as age and gender, to enter into the multivariate model. Seven variables remained in the final model (<xref rid="t4-kjim-2017-204" ref-type="table">Table 4</xref>); among them, pneumonia sepsis (odds ratio &#x0005b;OR&#x0005d;, 4.590), the coagulation score (OR, 2.669), the CNS score (OR, 1.917), and the C-reactive protein level (OR, 1.007) were independently associated with ARDS development.</p>
</sec>
<sec>
<title>ARDS development and 28-day mortality</title>
<p>In the univariate analyses, 16 variables (11 baseline variables and five organ failure scores) differed significantly between survivors and nonsurvivors (<xref rid="t5-kjim-2017-204" ref-type="table">Table 5</xref> and <xref rid="f3-kjim-2017-204" ref-type="fig">Fig. 3B</xref>). After considering overlaps in significance, we initially selected 11 variables (heart disease, Gram-negative infection, BNP, blood urea nitrogen, lactate, ARDS development, and five organ failure scores &#x0005b;the cardiovascular, CNS, respiratory, renal, and coagulation scores&#x0005d;), as well as age and gender, to enter into the multivariate model (Cox proportional hazard model). In the final model, in which seven variables remained, ARDS development (hazard ratio &#x0005b;HR&#x0005d;, 7.448; 95% confidence interval &#x0005b;CI&#x0005d;, 2.894 to 19.168), lactate (HR, 1.219; 95% CI, 1.087 to 1.367), and the renal score (HR, 2.034; 95% CI, 1.372 to 3.015) were independently associated with the 28-day mortality. In the Kaplan-Meier survival curves for 28-day survival, the mean survival time was significantly shorter in patients with ARDS than in those without ARDS (<xref rid="f5-kjim-2017-204" ref-type="fig">Fig. 5</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>We report several interesting findings. First, among nonpulmonary organ dysfunctions, CNS dysfunction and coagulopathy were significantly associated with ARDS development in patients with septic bacteremia. Second, ARDS development was significantly associated with an increase in 28-day mortality.</p>
<p>We used the new Sepsis-3 definition, which aims to render diagnoses consistent and to facilitate early sepsis recognition &#x0005b;<xref ref-type="bibr" rid="b9-kjim-2017-204">9</xref>&#x0005d;. The previous definitions of sepsis (Sepsis-1 and Sepsis-2 of 1991 and 2001, respectively) have been found to be invalid &#x0005b;<xref ref-type="bibr" rid="b13-kjim-2017-204">13</xref>,<xref ref-type="bibr" rid="b14-kjim-2017-204">14</xref>&#x0005d;. In addition, the task force that developed Sepsis-3 emphasized life-threatening organ dysfunctions &#x0005b;<xref ref-type="bibr" rid="b8-kjim-2017-204">8</xref>,<xref ref-type="bibr" rid="b9-kjim-2017-204">9</xref>,<xref ref-type="bibr" rid="b15-kjim-2017-204">15</xref>&#x0005d;. In this context, we evaluated the role played by nonpulmonary organ failure in ARDS development early in sepsis.</p>
<p>Sepsis is a common cause of ARDS. Although ARDS incidence varies by infection site, the risk factors for ARDS development remain unclear. Seethala et al. &#x0005b;<xref ref-type="bibr" rid="b2-kjim-2017-204">2</xref>&#x0005d; found that the Acute Physiology and Chronic Health Evaluation (APACHE) II score, pneumonia, pancreatitis, an acute abdomen, and shock were independently predictive of ARDS in septic patients. Moss et al. &#x0005b;<xref ref-type="bibr" rid="b16-kjim-2017-204">16</xref>&#x0005d; found that pneumonia was an independent predictor of ARDS, consistent with what was found by Gattinoni et al. &#x0005b;<xref ref-type="bibr" rid="b17-kjim-2017-204">17</xref>&#x0005d;, who reported differences in respiratory mechanics and responses to positive end-expiratory pressure depending on whether ARDS was caused by a pulmonary or nonpulmonary source. In this study, we did not calculate lung injury scores, but patients with pneumonia (thus with higher respiratory SOFA scores) exhibited a significantly higher incidence of ARDS and a trend toward higher mortality, compared with the nonpneumonia group. Therefore, pulmonary infection may be significant in terms of ARDS development and may be associated with poor in-hospital outcomes.</p>
<p>Activation of coagulation and an unbalanced inflammatory reaction are characteristic of both ARDS and sepsis, triggering fibrin deposition in capillary beds, in turn causing organ dysfunction &#x0005b;<xref ref-type="bibr" rid="b18-kjim-2017-204">18</xref>&#x0005d;. Recently, both neutrophil extracellular trapping and platelet aggregation have been recognized as key players during ARDS development in septic patients &#x0005b;<xref ref-type="bibr" rid="b19-kjim-2017-204">19</xref>,<xref ref-type="bibr" rid="b20-kjim-2017-204">20</xref>&#x0005d;. We found that the coagulopathic score was associated with ARDS development and a higher score seemed to be associated with mortality (<italic>p</italic> &#x0003d; 0.032) (<xref rid="f3-kjim-2017-204" ref-type="fig">Fig. 3B</xref>).</p>
<p>We believe that our work re-emphasizes the important role played by activation of coagulation during ARDS development and for 28-day mortality. In addition, CNS dysfunction was associated with ARDS development. It may develop secondarily to hypoxia, hypoglycemia, and/or hypotension in patients with sepsis and may reflect sepsis-induced multiorgan dysfunction. Although relevant data are sparse, Moss et al. &#x0005b;<xref ref-type="bibr" rid="b16-kjim-2017-204">16</xref>&#x0005d; found that patients who chronically abuse alcohol had higher CNS scores and were at a higher risk of ARDS. In this context, we suggest that the impact of sepsis-associated CNS dysfunction on patient outcomes be investigated further.</p>
<p>The incidence of ARDS in the present study (17.6%) was lower than that in previous studies &#x0005b;<xref ref-type="bibr" rid="b16-kjim-2017-204">16</xref>,<xref ref-type="bibr" rid="b21-kjim-2017-204">21</xref>&#x0005d;, perhaps because of differences in the severity of illness. Fifty-one percent of our patients had sepsis (vs. septic shock, 49.0%), and 37.6% had sepsis of urinary tract origin, which is regarded as less severe than other forms of sepsis. Of the patients evaluated by Seethala et al. &#x0005b;<xref ref-type="bibr" rid="b2-kjim-2017-204">2</xref>&#x0005d;, only 9.2% were in shock; the mean APACHE II score was 11.7, and the ARDS incidence was also low (6.2%). However, Eggimann et al. &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2017-204">6</xref>&#x0005d; evaluated patients similar to ours and reported an ARDS incidence of 15.8%, close to our figure. In the present study, ARDS development was significantly associated with an increased 28-day mortality, which contrasts previous observational studies &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2017-204">6</xref>,<xref ref-type="bibr" rid="b22-kjim-2017-204">22</xref>,<xref ref-type="bibr" rid="b23-kjim-2017-204">23</xref>&#x0005d;. After adjusting for the severity of illness and nonpulmonary organ dysfunction, Eggimann et al. &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2017-204">6</xref>&#x0005d; showed that, ARDS development was not independently associated with short-term mortality. This disparity may be the result of the different mortality rates of both ARDS and non-ARDS patients between the two studies. In particular, the 28-day and in-hospital mortality rates (63.6% and 72.7%, respectively) in our ARDS group seemed to be higher than those in previous studies. This could be attributable to their high severity of illness at the time of ICU admission (i.e., SAPS II score, 58; estimated death rate, 63%), and the fact that ARDS occurred in patients with pre-existing septic bacteremia.</p>
<p>Our study had several limitations. First, our patient numbers were small, and the retrospective nature of the work may have introduced unidentified bias. Second, our study population was heterogeneous in terms of the origin of sepsis. In particular, the frequency of sepsis derived from urinary tract infections (usually associated with a good prognosis) was higher than that of previous studies. However, we enrolled only patients with septic bacteremia to ensure a homogeneous study population. We also investigated the appropriateness of empirical antibiotic therapy and pathogen multidrug resistance. To our knowledge, very few data are available on the role played by nonpulmonary organ dysfunction for ARDS development in patients with sepsis. Previous studies suggested that the site of infection does not independently affect mortality &#x0005b;<xref ref-type="bibr" rid="b22-kjim-2017-204">22</xref>,<xref ref-type="bibr" rid="b23-kjim-2017-204">23</xref>&#x0005d;. Hence, physicians need to pay more attention to organ dysfunction than to specific infection sites when identifying high-risk patients and initiating early interventions.</p>
<p>In conclusion, our data indicate that among nonpulmonary organ dysfunctions, CNS dysfunction and coagulopathy are independent risk factors for ARDS development in patients with septic bacteremia, and ARDS significantly increases 28-day mortality.</p></sec>
<sec>
<title>KEY MESSAGE</title>
<boxed-text position="float" orientation="portrait">
<p>1. Among nonpulmonary organ dysfunctions, central nervous system dysfunction and coagulopathy were independent risk factors for the development of acute respiratory distress syndrome (ARDS) in patients with bacteremia sepsis.</p>
<p>2. The development of ARDS was significantly associated with an increase in 28-day mortality in patients with bacteremic sepsis.</p>
</boxed-text>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="conflict"><p>No potential conflict of interest relevant to this article was reported.</p></fn>
</fn-group>
<ack><p>The authors want to thank Young Soo Ju (Hallym University Sacred Heart Hospital) for his contribution to statistical analysis.</p></ack>
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<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjim-2017-204" position="float">
<label>Figure 1.</label><caption><p>Flow chart of patient enrolment into this study. CNS, central nervous system; ARDS, acute respiratory distress syndrome.</p></caption>
<graphic xlink:href="kjim-2017-204f1.tif"/>
</fig>
<fig id="f2-kjim-2017-204" position="float">
<label>Figure 2.</label><caption><p>Acute respiratory distress syndrome (ARDS) frequencies according to the origin of sepsis. UTI, urinary tract infection; CRI, catheter-related infection; IE, infectious endocarditis.</p></caption>
<graphic xlink:href="kjim-2017-204f2.tif"/>
</fig>
<fig id="f3-kjim-2017-204" position="float">
<label>Figure 3.</label><caption><p>Individual organ failure scores (A) of patients with and those without acute respiratory distress syndrome (ARDS) and (B) of 28-day survivors and non-survivors. SOFA, sequential organ failure assessment; CNS, central nervous system.</p></caption>
<graphic xlink:href="kjim-2017-204f3.tif"/>
</fig>
<fig id="f4-kjim-2017-204" position="float">
<label>Figure 4.</label><caption><p>Acute respiratory distress syndrome (ARDS) incidence according to the number of nonpulmonary organ failures. The incidence of ARDS increased in patients with septic bacteremia and with the number of nonpulmonary organ failures.</p></caption>
<graphic xlink:href="kjim-2017-204f4.tif"/>
</fig>
<fig id="f5-kjim-2017-204" position="float">
<label>Figure 5.</label><caption><p>Kaplan-Meier survival curves of the 28-day survival of patients with and without acute respiratory distress syndrome (ARDS). The mean survival time was significantly shorter in patients with ARDS than in those without ARDS (13.9 &#x000b1; 2.4 days vs. 26.1 &#x000b1; 0.6 days, log-rank test <italic>p</italic> &lt; 0.001).</p></caption>
<graphic xlink:href="kjim-2017-204f5.tif"/>
</fig>
<table-wrap id="t1-kjim-2017-204" position="float">
<label>Table 1.</label>
<caption><p>Comparisons of baseline characteristics between ARDS and non-ARDS patients</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">All patients (n = 125)</th>
<th align="center" valign="middle">ARDS (n = 22)</th>
<th align="center" valign="middle">Non-ARDS (n = 103)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Age, yr</td>
<td align="center" valign="top">73 (59.0&#x02013;80.0)</td>
<td align="center" valign="top">65.0 (58.0&#x02013;78.3)</td>
<td align="center" valign="top">73 (60&#x02013;81)</td>
<td align="center" valign="top">0.176</td>
</tr>
<tr>
<td align="left" valign="top">Sex, male/female</td>
<td align="center" valign="top">67/58</td>
<td align="center" valign="top">12/10</td>
<td align="center" valign="top">55/48</td>
<td align="center" valign="top">0.922</td>
</tr>
<tr>
<td align="left" valign="top">Comorbid illness</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Diabetes</td>
<td align="center" valign="top">54 (43.2)</td>
<td align="center" valign="top">10 (45.5)</td>
<td align="center" valign="top">44 (42.7)</td>
<td align="center" valign="top">0.814</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Hypertension</td>
<td align="center" valign="top">62 (49.6)</td>
<td align="center" valign="top">9 (40.9)</td>
<td align="center" valign="top">53 (51.5)</td>
<td align="center" valign="top">0.369</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;COPD</td>
<td align="center" valign="top">3 (2.4)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">3 (2.9)</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;CKD</td>
<td align="center" valign="top">21 (16.8)</td>
<td align="center" valign="top">2 (9.1)</td>
<td align="center" valign="top">19 (28.4)</td>
<td align="center" valign="top">0.363</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Heart diseases</td>
<td align="center" valign="top">18 (14.4)</td>
<td align="center" valign="top">4 (18.2)</td>
<td align="center" valign="top">14 (13.6)</td>
<td align="center" valign="top">0.587</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Cancer</td>
<td align="center" valign="top">10 (8.0)</td>
<td align="center" valign="top">2 (9.1)</td>
<td align="center" valign="top">8 (7.8)</td>
<td align="center" valign="top">0.689</td>
</tr>
<tr>
<td align="left" valign="top">Pneumonia vs. nonpneumonia</td>
<td align="center" valign="top">28/97</td>
<td align="center" valign="top">10/12</td>
<td align="center" valign="top">18/85</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top">Sepsis/septic shock</td>
<td align="center" valign="top">64/61</td>
<td align="center" valign="top">11/11</td>
<td align="center" valign="top">53/50</td>
<td align="center" valign="top">0.901</td>
</tr>
<tr>
<td align="left" valign="top">PaO<sub>2</sub>/FiO<sub>2</sub></td>
<td align="center" valign="top">250.0 (180.0&#x02013;303.5)</td>
<td align="center" valign="top">165.0 (87.5&#x02013;277.5)</td>
<td align="center" valign="top">254 (210&#x02013;320)</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Lactate, mmol/L</td>
<td align="center" valign="top">3.6 (2.4&#x02013;5.8)</td>
<td align="center" valign="top">4.3 (2.8&#x02013;9.4)</td>
<td align="center" valign="top">3.2 (2.3&#x02013;5.6)</td>
<td align="center" valign="top">0.123</td>
</tr>
<tr>
<td align="left" valign="top">BNP, pg/mL</td>
<td align="center" valign="top">297.4 (138.5&#x02013;973.4)</td>
<td align="center" valign="top">772.1 (115.1&#x02013;1,389.0)</td>
<td align="center" valign="top">287.2 (138.7&#x02013;927.5)</td>
<td align="center" valign="top">0.169</td>
</tr>
<tr>
<td align="left" valign="top">Blood urea nitrogen</td>
<td align="center" valign="top">31.1 (20.4&#x02013;55.0)</td>
<td align="center" valign="top">43.4 (36.7&#x02013;64.0)</td>
<td align="center" valign="top">29.8 (19.2&#x02013;53.7)</td>
<td align="center" valign="top">0.033</td>
</tr>
<tr>
<td align="left" valign="top">C-reactive protein</td>
<td align="center" valign="top">172.9 (127.4&#x02013;231.5)</td>
<td align="center" valign="top">195.9 (174.3&#x02013;298.6)</td>
<td align="center" valign="top">167.2 (113.0&#x02013;218.0)</td>
<td align="center" valign="top">0.011</td>
</tr>
<tr>
<td align="left" valign="top">SOFA</td>
<td align="center" valign="top">7.0 (5.5&#x02013;9.0)</td>
<td align="center" valign="top">10.5 (7.0&#x02013;15.3)</td>
<td align="center" valign="top">7.0 (5.0&#x02013;9.0)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">SAPS II</td>
<td align="center" valign="top">44.0 (35.0&#x02013;56.0)</td>
<td align="center" valign="top">58.0 (39.8&#x02013;73.8)</td>
<td align="center" valign="top">41.0 (35.0&#x02013;53.0)</td>
<td align="center" valign="top">0.001</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as median (interquartile range) or number (%).</p>
<p>ARDS, acute respiratory distress syndrome; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; PaO<sub>2</sub>/FiO<sub>2</sub>, ratio of arterial oxygen tension to inspired oxygen fraction; BNP, brain natriuretic peptide; SOFA, sequential organ failure assessment; SAPS, simplified acute physiology score.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-kjim-2017-204" position="float">
<label>Table 2.</label>
<caption><p>Isolated organisms among enrolled patients</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Organisms identified</th>
<th align="center" valign="middle">No. (%)</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Gram-positive organisms</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Streptococcus pneumoniae</italic></td>
<td align="center" valign="top">7 (5.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Streptococcus viridans</italic></td>
<td align="center" valign="top">1 (0.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Methicillin-sensitive <italic>Staphylococcus aureus</italic></td>
<td align="center" valign="top">17 (13.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Methicillin-resistant <italic>Staphylococcus aureus</italic></td>
<td align="center" valign="top">3 (2.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Other organisms<sup><xref rid="tfn1-kjim-2017-204" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">3 (2.4)</td>
</tr>
<tr>
<td align="left" valign="top">Gram-negative organisms</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Escherichia coli</italic></td>
<td align="center" valign="top">52 (41.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Klebsiella pneumoniae</italic></td>
<td align="center" valign="top">26 (20.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Pseudomonas aeruginosa</italic></td>
<td align="center" valign="top">3 (2.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Proteus mirabilis</italic></td>
<td align="center" valign="top">3 (2.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Citrobacter freundi</italic></td>
<td align="center" valign="top">3 (2.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Acinetobacter baumannii</italic></td>
<td align="center" valign="top">3 (2.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;<italic>Other organisms</italic><sup><xref rid="tfn2-kjim-2017-204" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="top">4 (3.2)</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn id="tfn1-kjim-2017-204"><label>a</label><p><italic>Enterococcus faecalis</italic> (n = 1), <italic>Staphylococcus hominis</italic> (n = 1), and <italic>Staphylococcus epidermidis</italic> (n = 1).</p></fn>
<fn id="tfn2-kjim-2017-204"><label>b</label><p><italic>Enterobacter aerogenes</italic> (n = 1), <italic>Serratia marcescens</italic> (n = 1), <italic>Enterobacter cloacae</italic> (n = 1), and <italic>Edwardsiella tarda</italic> (n = 1).</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t3-kjim-2017-204" position="float">
<label>Table 3.</label>
<caption><p>Treatments and outcomes between ARDS and non-ARDS patients</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">All patients (n = 125)</th>
<th align="center" valign="middle">ARDS (n = 22)</th>
<th align="center" valign="middle">Non- ARDS (n = 103)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">MDR pathogens</td>
<td align="center" valign="top">43 (34.3)</td>
<td align="center" valign="top">5 (22.7)</td>
<td align="center" valign="top">38 (36.9)</td>
<td align="center" valign="top">0.204</td>
</tr>
<tr>
<td align="left" valign="top">Gram(+)/(&#x02013;) pathogens</td>
<td align="center" valign="top">31/94</td>
<td align="center" valign="top">10/12</td>
<td align="center" valign="top">21/82</td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">Inappropriate antibiotics</td>
<td align="center" valign="top">11 (8.9)</td>
<td align="center" valign="top">2 (9.1)</td>
<td align="center" valign="top">9 (8.8)</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">Mechanical ventilation</td>
<td align="center" valign="top">35 (28.5)</td>
<td align="center" valign="top">15 (68.2)</td>
<td align="center" valign="top">20 (19.4)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">Vaosopressors</td>
<td align="center" valign="top">81 (64.8)</td>
<td align="center" valign="top">16 (72.7)</td>
<td align="center" valign="top">65 (63.1)</td>
<td align="center" valign="top">0.467</td>
</tr>
<tr>
<td align="left" valign="top">ICU mortality</td>
<td align="center" valign="top">24 (19.2)</td>
<td align="center" valign="top">14 (63.6)</td>
<td align="center" valign="top">10 (9.7)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">28-Day mortality</td>
<td align="center" valign="top">23 (18.4)</td>
<td align="center" valign="top">14 (63.6)</td>
<td align="center" valign="top">9 (8.7)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hospital mortality</td>
<td align="center" valign="top">28 (22.4)</td>
<td align="center" valign="top">16 (72.7)</td>
<td align="center" valign="top">12 (11.7)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>ARDS, acute respiratory distress syndrome; MDR, multidrug resistance; ICU, intensive care unit.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t4-kjim-2017-204" position="float">
<label>Table 4.</label>
<caption><p>Multivariate analysis for risk factors of ARDS development</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2"></th>
<th align="center" valign="middle" colspan="2">Unadjusted OR<hr/></th>
<th align="center" valign="middle" colspan="2">Adjusted OR<hr/></th>
</tr><tr>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">0.977</td>
<td align="center" valign="top">0.945&#x02013;1.009</td>
<td align="center" valign="top">0.979</td>
<td align="center" valign="top">0.936&#x02013;1.023</td>
</tr>
<tr>
<td align="left" valign="top">Male sex</td>
<td align="center" valign="top">0.955</td>
<td align="center" valign="top">0.379&#x02013;2.406</td>
<td align="center" valign="top">1.022</td>
<td align="center" valign="top">0.310&#x02013;3.371</td>
</tr>
<tr>
<td align="left" valign="top">Pneumonia sepsis</td>
<td align="center" valign="top">3.935</td>
<td align="center" valign="top">1.475&#x02013;10.498</td>
<td align="center" valign="top">4.590</td>
<td align="center" valign="top">1.177&#x02013;17.895</td>
</tr>
<tr>
<td align="left" valign="top">Gram-negative infection</td>
<td align="center" valign="top">0.307</td>
<td align="center" valign="top">0.117&#x02013;0.808</td>
<td align="center" valign="top">0.377</td>
<td align="center" valign="top">0.107&#x02013;1.326</td>
</tr>
<tr>
<td align="left" valign="top">Coagulation score</td>
<td align="center" valign="top">1.836</td>
<td align="center" valign="top">1,219&#x02013;2,766</td>
<td align="center" valign="top">2.669</td>
<td align="center" valign="top">1.438&#x02013;4.954</td>
</tr>
<tr>
<td align="left" valign="top">CNS score</td>
<td align="center" valign="top">2.117</td>
<td align="center" valign="top">1.355&#x02013;3.309</td>
<td align="center" valign="top">1.917</td>
<td align="center" valign="top">1.097&#x02013;3.348</td>
</tr>
<tr>
<td align="left" valign="top">C-reactive protein</td>
<td align="center" valign="top">1.006</td>
<td align="center" valign="top">1.001&#x02013;1.011</td>
<td align="center" valign="top">1.007</td>
<td align="center" valign="top">1.001&#x02013;1.013</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Hosmo-Lemeshow test, chi-sqaure = 3.875 (df = 8), <italic>p</italic> = 0.398.</p>
<p>ARDS, acute respiratory distress syndrome; OR, odds ratio; CI, confidence interval; CNS, central nervous system.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t5-kjim-2017-204" position="float">
<label>Table 5.</label>
<caption><p>Comparisons between 28-day survivors and nonsurvivors</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">All patients (n = 125)</th>
<th align="center" valign="middle">Survivors (n = 102)</th>
<th align="center" valign="middle">Nonsurvivors (n = 23)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Age, yr</td>
<td align="center" valign="top">73 (59.0&#x02013;80.0)</td>
<td align="center" valign="top">73.0 (59.0&#x02013;79.0)</td>
<td align="center" valign="top">75.0 (59.0&#x02013;81.0)</td>
<td align="center" valign="top">0.954</td>
</tr>
<tr>
<td align="left" valign="top">Sex, male/female</td>
<td align="center" valign="top">67/58</td>
<td align="center" valign="top">53/49</td>
<td align="center" valign="top">14/9</td>
<td align="center" valign="top">0.439</td>
</tr>
<tr>
<td align="left" valign="top">Comorbid illness</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Diabetes</td>
<td align="center" valign="top">54 (43.2)</td>
<td align="center" valign="top">41 (40.2)</td>
<td align="center" valign="top">13 (56.5)</td>
<td align="center" valign="top">0.153</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Hypertension</td>
<td align="center" valign="top">62 (49.6)</td>
<td align="center" valign="top">52 (51.0)</td>
<td align="center" valign="top">10 (43.5)</td>
<td align="center" valign="top">0.516</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;COPD</td>
<td align="center" valign="top">3 (2.4)</td>
<td align="center" valign="top">3 (2.9)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;CKD</td>
<td align="center" valign="top">21 (16.8)</td>
<td align="center" valign="top">14 (13.7)</td>
<td align="center" valign="top">7 (30.4)</td>
<td align="center" valign="top">0.066</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Heart diseases</td>
<td align="center" valign="top">18 (14.4)</td>
<td align="center" valign="top">11 (10.8)</td>
<td align="center" valign="top">7 (30.4)</td>
<td align="center" valign="top">0.023</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Cancer</td>
<td align="center" valign="top">10 (8.0)</td>
<td align="center" valign="top">8 (7.8)</td>
<td align="center" valign="top">2 (8.7)</td>
<td align="center" valign="top">1.000</td>
</tr>
<tr>
<td align="left" valign="top">Pneumonia vs. nonpneumonia</td>
<td align="center" valign="top">28/97</td>
<td align="center" valign="top">19/83</td>
<td align="center" valign="top">9/14</td>
<td align="center" valign="top">0.033</td>
</tr>
<tr>
<td align="left" valign="top">Sepsis/septic shock</td>
<td align="center" valign="top">64/61</td>
<td align="center" valign="top">55/47</td>
<td align="center" valign="top">9/14</td>
<td align="center" valign="top">0.200</td>
</tr>
<tr>
<td align="left" valign="top">MDR pathogens</td>
<td align="center" valign="top">43 (34.4)</td>
<td align="center" valign="top">34 (33.3)</td>
<td align="center" valign="top">9 (39.1)</td>
<td align="center" valign="top">0.597</td>
</tr>
<tr>
<td align="left" valign="top">Gram (+) vs. (&#x02013;) pathogens</td>
<td align="center" valign="top">31/94</td>
<td align="center" valign="top">20/82</td>
<td align="center" valign="top">11/12</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Inappropriate antibiotics</td>
<td align="center" valign="top">11 (8.9)</td>
<td align="center" valign="top">8 (7.9)</td>
<td align="center" valign="top">3 (13.0)</td>
<td align="center" valign="top">0.426</td>
</tr>
<tr>
<td align="left" valign="top">Mechanical ventilation</td>
<td align="center" valign="top">35 (28.5)</td>
<td align="center" valign="top">19 (18.6)</td>
<td align="center" valign="top">16 (69.6)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">ARDS</td>
<td align="center" valign="top">22 (17.6)</td>
<td align="center" valign="top">8 (7.8)</td>
<td align="center" valign="top">14 (60.9)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">Vasopressors</td>
<td align="center" valign="top">81 (64.8)</td>
<td align="center" valign="top">63 (61.8)</td>
<td align="center" valign="top">18 (78.3)</td>
<td align="center" valign="top">0.135</td>
</tr>
<tr>
<td align="left" valign="top">PaO<sub>2</sub>/FiO<sub>2</sub></td>
<td align="center" valign="top">250.0 (180.0&#x02013;303.5)</td>
<td align="center" valign="top">260 (210.0&#x02013;320.0)</td>
<td align="center" valign="top">170.0 (100.0&#x02013;254.0)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Lactate, mmol/L</td>
<td align="center" valign="top">3.6 (2.4&#x02013;5.8)</td>
<td align="center" valign="top">3.1 (2.5&#x02013;5.3)</td>
<td align="center" valign="top">5.6 (3.1&#x02013;11.4)</td>
<td align="center" valign="top">0.011</td>
</tr>
<tr>
<td align="left" valign="top">BNP, pg/mL</td>
<td align="center" valign="top">297.4 (138.5&#x02013;973.4)</td>
<td align="center" valign="top">273.9 (128.4&#x02013;780.3)</td>
<td align="center" valign="top">1,040.4 (234.5&#x02013;2,549.4)</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Blood urea nitrogen</td>
<td align="center" valign="top">31.1 (20.4&#x02013;55.0)</td>
<td align="center" valign="top">28.9 (19.1&#x02013;53.4)</td>
<td align="center" valign="top">42.1 (32.4&#x02013;78.2)</td>
<td align="center" valign="top">0.041</td>
</tr>
<tr>
<td align="left" valign="top">C-reactive protein</td>
<td align="center" valign="top">172.9 (127.4&#x02013;231.5)</td>
<td align="center" valign="top">170.6 (119.9&#x02013;228.2)</td>
<td align="center" valign="top">177.9 (142.7&#x02013;272.0)</td>
<td align="center" valign="top">0.682</td>
</tr>
<tr>
<td align="left" valign="top">SOFA</td>
<td align="center" valign="top">7.0 (5.5&#x02013;10.0)</td>
<td align="center" valign="top">7.0 (5.0&#x02013;9.0)</td>
<td align="center" valign="top">13.0 (9.0&#x02013;14.0)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">SAPS II</td>
<td align="center" valign="top">44.0 (35.0&#x02013;56.0)</td>
<td align="center" valign="top">41.0 (33.0&#x02013;48.0)</td>
<td align="center" valign="top">61.0 (57.0&#x02013;77.0)</td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as median (interquartile range) or number (%).</p>
<p>COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; MDR, multi-drug resistance; ARDS, acute respiratory distress syndrome; PaO<sub>2</sub>/FiO<sub>2</sub>, ratio of arterial oxygen tension to inspired oxygen fraction; BNP, brain natriuretic peptide; SOFA, sequential organ failure assessment; SAPS, simplified acute physiology score.</p></fn>
</table-wrap-foot>
</table-wrap>

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