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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.2015.30.5.675</article-id>
<article-id pub-id-type="publisher-id">kjim-30-5-675</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject><subj-group subj-group-type="heading"><subject>Hemato-oncology</subject></subj-group></subj-group></article-categories>
<title-group>
<article-title>The prognostic impact of inflammatory factors in patients with multiple myeloma treated with thalidomide in Korea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Cheolsu</given-names></name>
<xref ref-type="aff" rid="af1-kjim-30-5-675"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Ho Sup</given-names></name>
<xref ref-type="corresp" rid="c1-kjim-30-5-675"/>
<xref ref-type="aff" rid="af1-kjim-30-5-675"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Min</surname><given-names>Chang-Ki</given-names></name>
<xref ref-type="aff" rid="af2-kjim-30-5-675"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Je Jung</given-names></name>
<xref ref-type="aff" rid="af3-kjim-30-5-675"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Kihyun</given-names></name>
<xref ref-type="aff" rid="af4-kjim-30-5-675"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yoon</surname><given-names>Dok Hyun</given-names></name>
<xref ref-type="aff" rid="af5-kjim-30-5-675"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Eom</surname><given-names>Hyeon Seok</given-names></name>
<xref ref-type="aff" rid="af6-kjim-30-5-675"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Hyewon</given-names></name>
<xref ref-type="aff" rid="af6-kjim-30-5-675"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Won Sik</given-names></name>
<xref ref-type="aff" rid="af7-kjim-30-5-675"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shin</surname><given-names>Ho-Jin</given-names></name>
<xref ref-type="aff" rid="af8-kjim-30-5-675"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Ji Hyun</given-names></name>
<xref ref-type="aff" rid="af9-kjim-30-5-675"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Yong</given-names></name>
<xref ref-type="aff" rid="af10-kjim-30-5-675"><sup>10</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jo</surname><given-names>Jae-Cheol</given-names></name>
<xref ref-type="aff" rid="af11-kjim-30-5-675"><sup>11</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Do</surname><given-names>Young Rok</given-names></name>
<xref ref-type="aff" rid="af12-kjim-30-5-675"><sup>12</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mun</surname><given-names>Yeung-Chul</given-names></name>
<xref ref-type="aff" rid="af13-kjim-30-5-675"><sup>13</sup></xref>
</contrib>
<aff id="af1-kjim-30-5-675">
<label>1</label>Department of Internal Medicine, Kosin University College of Medicine, Busan, <country>Korea</country></aff>
<aff id="af2-kjim-30-5-675">
<label>2</label>Department of Internal Medicine, College of Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, <country>Korea</country></aff>
<aff id="af3-kjim-30-5-675">
<label>3</label>Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Hwasun, <country>Korea</country></aff>
<aff id="af4-kjim-30-5-675">
<label>4</label>Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, <country>Korea</country></aff>
<aff id="af5-kjim-30-5-675">
<label>5</label>Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, <country>Korea</country></aff>
<aff id="af6-kjim-30-5-675">
<label>6</label>Department of Internal Medicine, National Cancer Center, Goyang, <country>Korea</country></aff>
<aff id="af7-kjim-30-5-675">
<label>7</label>Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, <country>Korea</country></aff>
<aff id="af8-kjim-30-5-675">
<label>8</label>Department of Internal Medicine, Pusan National University Hospital, Busan, <country>Korea</country></aff>
<aff id="af9-kjim-30-5-675">
<label>9</label>Department of Internal Medicine, Dong-A University College of Medicine, Busan, <country>Korea</country></aff>
<aff id="af10-kjim-30-5-675">
<label>10</label>Department of Internal Medicine, Korea University College of Medicine, Seoul, <country>Korea</country></aff>
<aff id="af11-kjim-30-5-675">
<label>11</label>Department of Hematology and Oncology, Ulsan University Hospital, Ulsan, <country>Korea</country></aff>
<aff id="af12-kjim-30-5-675">
<label>12</label>Department of Internal Medicine, Keimyung University School of Medicine, Daegu, <country>Korea</country></aff>
<aff id="af13-kjim-30-5-675">
<label>13</label>Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjim-30-5-675">Correspondence to Ho Sup Lee, M.D. Division of Hematology and Oncology, Department of Internal Medicine, Kosin University Gospel Hospital, 262 Gamcheon-ro, Seo-gu, Busan 49267, Korea Tel: +82-51-990-6363 Fax: +82-51-990-5820 E-mail: <email>hs52silver@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>9</month>
<year>2015</year></pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>8</month>
<year>2015</year></pub-date>
<volume>30</volume>
<issue>5</issue>
<fpage>675</fpage>
<lpage>683</lpage>
<history>
<date date-type="received">
<day>5</day>
<month>9</month>
<year>2014</year></date>
<date date-type="rev-recd">
<day>13</day>
<month>10</month>
<year>2014</year></date>
<date date-type="accepted">
<day>15</day>
<month>10</month>
<year>2014</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2015 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>2015</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/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</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 purpose of this study was to determine the correlations between inflammatory factors&#x02014;including absolute lymphocyte count, lactate dehydrogenase, &#x003b2;2-microglobulin, albumin, C-reactive protein, and ferritin&#x02014;and the prognosis for survival in patients with multiple myeloma (MM) treated with induction chemotherapy containing thalidomide and who underwent autologous stem cell transplantation (ASCT).</p></sec>
<sec><title>Methods:</title>
<p>Data from patients at 13 university hospitals in South Korea were collected retrospectively between December 2005 and May 2013.</p></sec>
<sec><title>Results:</title>
<p>The median age of the 232 patients was 57 years (range, 33 to 77) and the male to female ratio was 1.09:1. In the multivariate analysis, fewer than two combined abnormal inflammatory factors was the only independent prognostic factor for superior progression-free survival (relative risk &#x0005b;RR&#x0005d;, 0.618; 95% confidence interval &#x0005b;CI&#x0005d;, 0.409 to 0.933; <italic>p</italic> &#x0003d; 0.022), and platelet count &gt; 100 &#x000d7; 10<sup>9</sup>/L and fewer than two combined abnormal inflammatory factors were independent prognostic factors for superior overall survival (RR, 4.739; 95% CI, 1.897 to 11.839; <italic>p</italic> &#x0003d; 0.001 and RR, 0.263; 95% CI, 0.113 to 0.612; <italic>p</italic> &#x0003d; 0.002, respectively).</p></sec>
<sec><title>Conclusions:</title>
<p>Patients with two or more than two combined inflammatory factors who were treated with thalidomide induction chemotherapy and who underwent ASCT showed significantly shorter survival compared to those with fewer than two combined inflammatory factors. These results could be helpful for predicting prognosis in patients with MM.</p></sec>
</abstract>
<kwd-group>
<kwd>Multiple myeloma</kwd>
<kwd>Thalidomide</kwd>
<kwd>Prognosis</kwd>
<kwd>Inflammation</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Many advances have been made in treatments for multiple myeloma (MM), as novel agents, such as thalidomide, bortezomib, and lenalidomide, have been developed &#x0005b;<xref ref-type="bibr" rid="b1-kjim-30-5-675">1</xref>-<xref ref-type="bibr" rid="b3-kjim-30-5-675">3</xref>&#x0005d;. In particular, thalidomide was the first novel agent introduced that improved the overall response rate (ORR) in transplant eligible or ineligible patients with MM &#x0005b;<xref ref-type="bibr" rid="b4-kjim-30-5-675">4</xref>-<xref ref-type="bibr" rid="b6-kjim-30-5-675">6</xref>&#x0005d;. It was first confirmed in 1999 that thalidomide was active in patients with relapsed and/or refractory MM. Since then, thalidomide has become an important part of MM treatment as initial therapy for previously untreated patients, as maintenance therapy following definitive treatment, and as salvage therapy &#x0005b;<xref ref-type="bibr" rid="b3-kjim-30-5-675">3</xref>-<xref ref-type="bibr" rid="b9-kjim-30-5-675">9</xref>&#x0005d;.</p>
<p>Many prognostic factors have been investigated together with the development of MM treatments. The prognostic parameters correlated with survival in patients with MM are serum &#x003b2;2-microglobulin (&#x003b2;2MG), albumin, absolute lymphocyte count (ALC), C-reactive protein (CRP), lactate dehydrogenase (LDH), serum ferritin, bone marrow plasma cell percentage, serum creatinine, hemoglobin, platelet count, age, Eastern Cooperative Oncology Group performance status, and serum free light chains or their ratio &#x0005b;<xref ref-type="bibr" rid="b10-kjim-30-5-675">10</xref>-<xref ref-type="bibr" rid="b16-kjim-30-5-675">16</xref>&#x0005d;. Prognostic scoring systems have also been developed, such as the Durie-Salmon Staging System (D-S stage) and the International Staging System (ISS) &#x0005b;<xref ref-type="bibr" rid="b17-kjim-30-5-675">17</xref>,<xref ref-type="bibr" rid="b18-kjim-30-5-675">18</xref>&#x0005d;. However, the significance of the D-S stage or the ISS for predicting prognosis decreased after the development and introduction of novel agents. Therefore, a new prognostic model or factors are needed for a more precise prediction of prognosis. Cytogenetic abnormalities, which are confirmed by conventional chromosomal studies or fluorescence in situ hybridization (FISH), have emerged as important prognostic markers &#x0005b;<xref ref-type="bibr" rid="b11-kjim-30-5-675">11</xref>,<xref ref-type="bibr" rid="b19-kjim-30-5-675">19</xref>-<xref ref-type="bibr" rid="b21-kjim-30-5-675">21</xref>&#x0005d;. However, FISH is used less frequently to predict prognosis in clinical practice because of the high cost and time expenditure involved. We identified useful prognostic clinical or laboratory factors that are easily tested in patients with newly diagnosed MM.</p>
<p>Serological inflammatory markers, such as ALC, LDH, &#x003b2;2MG, albumin, CRP, and ferritin, have been correlated with the prognosis of patients with MM &#x0005b;<xref ref-type="bibr" rid="b10-kjim-30-5-675">10</xref>,<xref ref-type="bibr" rid="b13-kjim-30-5-675">13</xref>,<xref ref-type="bibr" rid="b15-kjim-30-5-675">15</xref>,<xref ref-type="bibr" rid="b16-kjim-30-5-675">16</xref>&#x0005d;. However, few studies of the prognostic impact of combined inflammatory status in patients with MM have been conducted.</p>
<p>Therefore, the purpose of this study was to determine the correlation between the frequency of combined inflammatory factors&#x02014;including ALC, LDH, &#x003b2;2MG, and albumin&#x02014;and the prognosis for survival in patients with MM treated with induction chemotherapy containing thalidomide who also underwent autologous stem cell transplantation (ASCT).</p>
</sec>
<sec sec-type="methods">
<title>METHODS</title>
<sec>
<title>Patients and treatment</title>
<p>Data from patients at 13 university hospitals in South Korea were collected retrospectively between December 2005 and May 2013. All patients were treated with thalidomide-containing chemotherapy and then underwent ASCT. Patients who were treated with an induction chemotherapy regimen without thalidomide or those who underwent tandem ASCT were excluded. The thalidomide combination induction chemotherapy consisted of thalidomide (fixed oral dose of 50 to 100 mg on days 1 to 28) plus intravenous (IV) dexamethasone (20 mg/m<sup>2</sup> or oral on days 1 to 4 and days 15 to 18) every 4 weeks (TD), cyclophosphamide (fixed oral dose of 150 mg on days 1 to 4 every 4 weeks) plus TD (CTD), doxorubicin (9 mg/m<sup>2</sup> IV rapid infusion on days 1 to 4) plus TD (TAD) every 4 weeks, and thalidomide plus vincristine 4 mg/m<sup>2</sup> IV infusion on days 1 to 4, 9 mg/m<sup>2</sup> doxorubicin IV rapid infusion on days 1 to 4, and 20 mg/m<sup>2</sup> dexamethasone IV or oral on days 1 to 4, 9 to 12, and 17 to 20 (VAD) every 4 weeks. Only four patients were treated with this thalidomide plus VAD regimen. Low-dose aspirin was used to prevent thrombosis during induction chemotherapy. A total of 221 patients who achieved PR or better underwent ASCT with high-dose melphalan (100 to 200 mg/m<sup>2</sup>).</p>
</sec>
<sec>
<title>Analysis</title>
<p>Progression-free survival (PFS) and overall survival (OS) were estimated using clinical parameters in all patients, including age, sex, hemoglobin, platelet count, ALC, &#x003b2;2MG, serum albumin, LDH, cytogenetic risk, ISS score, response before ASCT, and inflammatory score. A conventional chromosomal study was performed in 204 patients and FISH including t(11;14), t(4;14), 13q deletion, 17p deletion, t(14;16), tri 1q, and t(14;20) were also performed in more than 100 patients. The cytogenetic risk, which was determined by conventional cytogenetics or FISH, was divided into standard, intermediate, and high risk. Standard risk included normal cytogenetics and hyperdiploidy, t(11;14), and t(6;14). Intermediate risk included t(4;14), 13q deletion, and hypodiploidy; and high risk included 17p deletion, t(14;16), and t(14;20) &#x0005b;<xref ref-type="bibr" rid="b19-kjim-30-5-675">19</xref>,<xref ref-type="bibr" rid="b21-kjim-30-5-675">21</xref>-<xref ref-type="bibr" rid="b23-kjim-30-5-675">23</xref>&#x0005d;. Each inflammatory factor of ALC level &lt; 1.0 &#x000d7; 10<sup>9</sup>/L, &#x003b2;2MG level &gt; 3.5 mg/L, serum albumin &lt; 3.5 g/dL, and LDH level above normal was defined as a combined abnormal inflammatory factor, and the sum of these abnormal factors was analyzed. Responses before and after ASCT were assessed according to the International Myeloma Working Group uniform response criteria &#x0005b;<xref ref-type="bibr" rid="b24-kjim-30-5-675">24</xref>&#x0005d;.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>We investigated independent prognostic factors associated with survival using the listed clinical and laboratory parameters. PFS was defined as the duration from the start date of induction chemotherapy to the date of disease progression, relapse, or death from any cause after ASCT. OS was calculated from the date of diagnosis to the date of death from any cause or the final follow-up date. Survival probabilities were calculated according to the Kaplan-Meier method and compared using the log-rank test. The Cox proportional hazards regression model was used for the multivariate analysis of independent prognostic factors of survival. Information about the baseline medical status and treatment modalities was collected from the medical records. Approval for this study was obtained from each Institutional Review Board.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Clinical and laboratory characteristics</title>
<p>The median age of the 232 patients was 57 years (range, 33 to 77), and the male to female ratio was 1.09:1. The median serum monoclonal protein level was 2.4 g/dL (range, 0.0 to 9.8), the median hemoglobin level was 10.1 g/dL (range, 4.2 to 15.4), and the median platelet count was 196.5 &#x000d7; 10<sup>9</sup>/L (range, 37.0 to 454.0). Standard cytogenetic risk was found in 173 patients (74.6%), intermediate risk in 39 (16.8%), and high risk in 20 (8.6%). The frequencies of the combined abnormal inflammatory factors of 0, 1, 2, 3, and 4 were found in 64 (27.6%), 75 (32.3%), 67 (28.9%), 18 (7.8%), and five (2.2%) patients, respectively. Other clinical and laboratory characteristics are summarized in <xref rid="t1-kjim-30-5-675" ref-type="table">Table 1</xref>.</p>
</sec>
<sec>
<title>Treatment outcomes after induction chemotherapy and ASCT</title>
<p>The response rates achieved before and after ASCT were as follows: complete response (CR) or stringent CR in 81 (34.9%) and 142 (60.2%) patients, very good partial response (PR) in 61 (26.3%) and 47 (20.3%), PR in 79 (34.1%) and 32 (13.8%), and &lt; PR in seven (3.1%) and five (2.3%). The median follow-up duration was 24.5 months (range, 6.9 to 108.9). The median PFS was 31.93 months (range, 25.1 to 38.8), and the median OS was not reached during the follow-up (<xref rid="f1-kjim-30-5-675" ref-type="fig">Fig. 1</xref>).</p>
</sec>
<sec>
<title>Prognostic factors in patients with MM receiving thalidomide as induction chemotherapy</title>
<p>The following factors in the univariate analysis were associated with a greater than 2-year PFS (<xref rid="t2-kjim-30-5-675" ref-type="table">Table 2</xref>): low &#x003b2;2MG (&lt; 3.5 mg/L vs. &#x02265; 3.5 mg/L, 74.8% vs. 54.5%, <italic>p</italic> &#x0003d; 0.022), normal LDH (normal vs. abnormal, 67.4% vs. 50.5%, <italic>p</italic> &#x0003d; 0.009), low cytogenetic risk (standard vs. intermediate vs. high, 68.5% vs. 48.5% vs. 61.5%, <italic>p</italic> &#x0003d; 0.018), and having fewer than two combined abnormal inflammatory factors (&lt; 2 vs. &#x02265; 2, 72.1% vs. 53.3%, <italic>p</italic> &#x0003d; 0.004) (<xref rid="f2-kjim-30-5-675" ref-type="fig">Fig. 2A</xref>). The following factors were associated with a greater than 2-year OS (<xref rid="t2-kjim-30-5-675" ref-type="table">Table 2</xref>): higher hemoglobin level (&lt; 10 g/dL vs. &#x02265; 10 g/dL, 84.6% vs. 96.1%, <italic>p</italic> &#x0003d; 0.042), higher platelet count (&lt; 100 &#x000d7; 10<sup>9</sup>/L vs. &#x02265; 100 &#x000d7; 10<sup>9</sup>/L, 48.5% vs. 93.1%, <italic>p</italic> &lt; 0.001), lower &#x003b2;2MG (&lt; 3.5 mg/L vs. &#x02265; 3.5 mg/L, 98.7% vs. 84.7%, <italic>p</italic> &lt; 0.001), normal LDH (normal vs. abnormal, 91.6% vs. 69.5%, <italic>p</italic> &lt; 0.001), lower cytogenetic risk (standard vs. intermediate vs. high, 92.1% vs. 90.3% vs. 83.8%, <italic>p</italic> &#x0003d; 0.028), lower ISS (I, II, and III, 98.0%, 90.3%, and 83.8%, respectively; <italic>p</italic> &#x0003d; 0.024), and having fewer than two combined abnormal inflammatory factors (&lt; 2 vs. &#x02265; 2, 98.1% vs. 81.1%, <italic>p</italic> &lt; 0.001) (<xref rid="f2-kjim-30-5-675" ref-type="fig">Fig. 2B</xref>). The survival curves of 2-year PFS and OS according to the inflammatory factors (<xref rid="f2-kjim-30-5-675" ref-type="fig">Fig. 2A</xref> and <xref rid="f2-kjim-30-5-675" ref-type="fig">2B</xref>) are compared to 2-year PFS and OS according to ISS in <xref rid="f2-kjim-30-5-675" ref-type="fig">Fig. 2C</xref> and <xref rid="f2-kjim-30-5-675" ref-type="fig">2D</xref>. The factors correlated with longer survival in the univariate analysis were included in a multivariate analysis, excluding &#x003b2;2MG and LDH because they were already included as abnormal inflammatory factors. ISS was also excluded from the multivariate analysis because &#x003b2;2MG and albumin were already included as abnormal inflammatory factors. In the multivariate analysis, abnormal inflammatory factors (&lt; 2) was the only independent prognostic factor for superior PFS (relative risk &#x0005b;RR&#x0005d;, 0.618; 95% confidence interval &#x0005b;CI&#x0005d;, 0.409 to 0.933; <italic>p</italic> &#x0003d; 0.022), and platelet count &gt; 100 &#x000d7; 10<sup>9</sup>/L, and fewer than two abnormal inflammatory factors were the only independent prognostic factors for greater OS (RR, 4.793; 95% CI, 1.897 to 11.839; <italic>p</italic> &#x0003d; 0.001 and RR, 0.263; 95% CI, 0.113 to 0.612; <italic>p</italic> &#x0003d; 0.002, respectively) (<xref rid="t3-kjim-30-5-675" ref-type="table">Table 3</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISSCUSSION</title>
<p>In this study, various parameters were estimated to identify prognostic factors for survival in patients who were treated with thalidomide-containing chemotherapy and who underwent ASCT. In the univariate analysis, higher &#x003b2;2MG (&#x02265; 3.5 mg/L), abnormal LDH, poor cytogenetic risk, and two or more combined abnormal inflammatory factors were associated with a &lt; 2-year PFS. Lower hemoglobin level (&lt; 10 g/dL), lower platelet count (&lt; 100 &#x000d7; 10<sup>9</sup>/L), higher &#x003b2;2MG (&#x02265; 3.5 mg/L), abnormal LDH, poor cytogenetic risk, higher ISS, and having two or more combined abnormal inflammatory factors were associated with &lt; 2-year OS. Only two or more combined abnormal inflammatory factors was an independent prognostic factor for PFS in the multivariate analysis, and platelet count as well as combined abnormal inflammatory factors were independent prognostic factors for OS. Lower platelet count has been associated previously with a poor prognosis in a study reporting that low platelet count as well as low calcium, LDH, CRP, and performance status were consistent with rapid attrition in such patients due to disease aggressiveness or co-morbidities &#x0005b;<xref ref-type="bibr" rid="b25-kjim-30-5-675">25</xref>&#x0005d;.</p>
<p>In the present study, the combined abnormal inflammatory factors included LDH, &#x003b2;2MG, albumin, and ALC. The reason for including albumin and ALC, which did not show significant results in the univariate analysis, was that the purpose of this study was not to show correlations between individual inflammatory factors and prognosis or to create a new prognostic index but to determine if there was an association between a number of combined inflammatory parameters and prognosis for survival. We demonstrated that having two or more combined abnormal inflammatory factors was correlated with short survival. These results suggest that patients with MM who have multiple combined inflammatory factors may show a poor prognosis. Some studies have reported mechanisms that may explain why inflammatory factors are associated with prognosis. Low serum albumin level has also been associated with advanced age and poor performance status, which are known poor prognostic factors in patients with MM &#x0005b;<xref ref-type="bibr" rid="b26-kjim-30-5-675">26</xref>&#x0005d;. Serum albumin level was previously shown to negatively correlate with serum interleukin 6 (IL-6) levels and reflects IL-6 effects on the liver, indicating its role as a potent myeloma cell growth factor <italic>in vitro</italic> &#x0005b;<xref ref-type="bibr" rid="b26-kjim-30-5-675">26</xref>&#x0005d;. Serum IL-6 level is also correlated with disease severity in patients with plasma cell dyscrasias &#x0005b;<xref ref-type="bibr" rid="b27-kjim-30-5-675">27</xref>&#x0005d;. Serum soluble IL-6 receptor (sIL-6R) level is correlated with &#x003b2;2MG, CRP, ferritin, and LDH concentrations and is believed to be correlated with the duration of disease-free survival &#x0005b;<xref ref-type="bibr" rid="b28-kjim-30-5-675">28</xref>,<xref ref-type="bibr" rid="b29-kjim-30-5-675">29</xref>&#x0005d;.</p>
<p>Therefore, patients with two or more combined inflammatory factors who were treated with thalidomide induction chemotherapy and who underwent ASCT showed significantly shorter survival than patients with fewer than two combined inflammatory factors. These results might be helpful for predicting prognosis in patients with MM. However, the ORR before ASCT in this study was higher compared to those of other studies, including patients treated with thalidomide. This is likely because most hematologists consider ASCT only after patients achieve a response greater than PR in South Korea. Moreover, this study had some limitations including the fact that CRP, ferritin, and other cytokines, such as IL-6 and sIL-6R, which were regarded as inflammatory factors, were not analyzed independently because of insufficient retrospective data. Therefore, further prospective studies are needed to confirm the correlations between prognosis and these inflammatory factors in transplantation-eligible or -ineligible patients with MM treated with novel agents, such as thalidomide, bortezomib, or lenalidomide.</p>
</sec>
<sec><title>KEY MESSAGE</title><boxed-text position="float" orientation="portrait">
<p>1. Serologic inflammatory markers have been reported to be correlated with the prognosis of patients with multiple myeloma.</p>
<p>2. The inflammatory markers were independent prognostic factors for progression-free survival and overall survival in patients who were treated with thalidomide induction chemotherapy and who underwent autologous stem cell transplantation.</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>This study was supported by a grant from Kosin University College of Medicine. The authors are indebted to Chul Won Choi for advising of this manuscript. A special acknowledgment is extended to the Korean Multiple Myeloma Working Party (KMMWP) for supporting our data.</p></ack>
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</person-group>
<article-title>A review of the cytokine network in multiple myeloma: diagnostic, prognostic, and therapeutic implications</article-title>
<source>Cancer</source>
<year>2003</year>
<volume>97</volume>
<fpage>2440</fpage>
<lpage>2452</lpage>
</element-citation></ref>
</ref-list>
<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjim-30-5-675" position="float">
<label>Figure 1.</label><caption><p>(A) Median progression-free survival was 31.93 months (range, 25.1 to 38.8), and (B) median overall survival was not reached during the follow-up in patients treated with thalidomide induction chemotherapy and who underwent autologous stem cell transplantation.</p></caption>
<graphic xlink:href="kjim-30-5-675f1.tif"/>
</fig>
<fig id="f2-kjim-30-5-675" position="float">
<label>Figure 2.</label><caption><p>The 2-year progression-free survival rate and 2-year overall survival rate were superior in patients with two or more combined abnormal inflammatory factors compared to those with fewer than two (A: 72.1% vs. 53.3%, <italic>p</italic> &#x0003d; 0.004; B: 98.1% vs. 81.1%, <italic>p</italic> &lt; 0.001, respectively). The inflammatory factor survival curves in (A) and (B) were more significant than the International Scoring System (ISS) stage survival curves in (C, <italic>p</italic> &#x0003d; 0.062) and (D, <italic>p</italic> &#x0003d; 0.024).</p></caption>
<graphic xlink:href="kjim-30-5-675f2.tif"/>
</fig>
<table-wrap id="t1-kjim-30-5-675" position="float">
<label>Table 1.</label>
<caption><p>Clinical and laboratory characteristics (n = 232)</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">Value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Age, yr</td>
<td align="center" valign="top">57 (33-77)</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">122 (52.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">111 (47.4)</td>
</tr>
<tr>
<td align="left" valign="top">Follow-up duration, mon</td>
<td align="center" valign="top">24 (7-107)</td>
</tr>
<tr>
<td align="left" valign="top">Multiple myeloma subtype</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;IgG, &#x003BA;, or &#x003BB;</td>
<td align="center" valign="top">124 (53.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;IgA, &#x003BA;, or &#x003BB;</td>
<td align="center" valign="top">35 (15.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Light chain disease</td>
<td align="center" valign="top">62 (26.7)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Others<sup><xref rid="tfn1-kjim-30-5-675" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">11 (4.7)</td>
</tr>
<tr>
<td align="left" valign="top">Serum monoclonal protein, g/dL</td>
<td align="center" valign="top">2.4 (0.0-9.8)</td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin, g/dL</td>
<td align="center" valign="top">10.1 (4.2-15.4)</td>
</tr>
<tr>
<td align="left" valign="top">Platelet count, x 10<sup>9</sup>/L</td>
<td align="center" valign="top">196.5 (37-454)</td>
</tr>
<tr>
<td align="left" valign="top">Absolute lymphocyte count, x 10<sup>9</sup>/L</td>
<td align="center" valign="top">1.730 (0.025-8.100)</td>
</tr>
<tr>
<td align="left" valign="top">Serum calcium, mg/dL</td>
<td align="center" valign="top">9.1 (1.3-15.4)</td>
</tr>
<tr>
<td align="left" valign="top">Serum total protein, g/dL</td>
<td align="center" valign="top">8.2 (2.9-15.2)</td>
</tr>
<tr>
<td align="left" valign="top">Serum albumin, g/dL</td>
<td align="center" valign="top">3.65 (1-5.6)</td>
</tr>
<tr>
<td align="left" valign="top">Serum &#x003B2;2-microglobulin, mg/L</td>
<td align="center" valign="top">3.4 (1.16-32)</td>
</tr>
<tr>
<td align="left" valign="top">Lactate dehydrogenase, IU/L</td>
<td align="center" valign="top">310 (80-1,940)</td>
</tr>
<tr>
<td align="left" valign="top">Cytogenetic risk</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Standard</td>
<td align="center" valign="top">176 (75.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Intermediate</td>
<td align="center" valign="top">36 (15.5)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">20 (8.6)</td>
</tr>
<tr>
<td align="left" valign="top">International Staging System</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;I</td>
<td align="center" valign="top">78 (33.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;II</td>
<td align="center" valign="top">75 (32.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;III</td>
<td align="center" valign="top">69 (29.7)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Unknown</td>
<td align="center" valign="top">10 (4.3)</td>
</tr>
<tr>
<td align="left" valign="top">Abnormal inflammatory factors</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;0</td>
<td align="center" valign="top">64 (27.6)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;1</td>
<td align="center" valign="top">75 (32.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;2</td>
<td align="center" valign="top">67 (28.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;3</td>
<td align="center" valign="top">18 (7.8)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;4</td>
<td align="center" valign="top">5 (2.2)</td>
</tr>
<tr>
<td align="left" valign="top">Treatment regimen</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;TD</td>
<td align="center" valign="top">129</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;CTD</td>
<td align="center" valign="top">96</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;TAD</td>
<td align="center" valign="top">3</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;TVAD</td>
<td align="center" valign="top">4</td>
</tr>
<tr>
<td align="left" valign="top">Response before ASCT</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;CR or sCR</td>
<td align="center" valign="top">81 (34.9)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;VGPR</td>
<td align="center" valign="top">61 (26.3)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;PR</td>
<td align="center" valign="top">79 (34.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; PR</td>
<td align="center" valign="top">7 (3.1)</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Unknown</td>
<td align="center" valign="top">4 (1.7)</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as median (range), number (%), or number.</p><p>TD, thalidomide plus dexamethasone; CTD, cyclophosphamide plus thalidomide and dexamethasone; TAD, thalidomide plus doxorubicin and dexamethasone; TVAD, thalidomide plus VAD (vincristine, doxorubicin and dexamethasone); ASCT, autologous stem cell transplantation; CR, complete response; sCR, stringent complete response; VGPR, very good partial response; PR, partial response.</p></fn>
<fn id="tfn1-kjim-30-5-675"><label>a</label><p>IgD &#x003BA;, IgD &#x003BB; or non-secretory.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t2-kjim-30-5-675" position="float">
<label>Table 2.</label>
<caption><p>Clinical and laboratory values associated with progression-free survival and overall survival in the univariate analysis</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Characteristic</th>
<th align="center" valign="middle" colspan="2">Progression-free survival<hr/></th>
<th align="center" valign="middle" colspan="2">Overall survival<hr/></th>
</tr><tr>
<th align="center" valign="middle">2-Year, %</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
<th align="center" valign="middle">2-Year, %</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"></td>
<td align="center" valign="top">0.811</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.200</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 55</td>
<td align="center" valign="top">64.0</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">95.8</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 55</td>
<td align="center" valign="top">66.1</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">87.4</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.350</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.700</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">59.4</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">88.5</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">72.3</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">92.9</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin, g/dL</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.390</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.042</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 10</td>
<td align="center" valign="top">60.8</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">84.6</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 10</td>
<td align="center" valign="top">69.3</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">96.1</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Platelet count, &#x000D7; 10<sup>9</sup>/L</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.286</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 100</td>
<td align="center" valign="top">44.3</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">48.5</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 100</td>
<td align="center" valign="top">66.7</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">93.1</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Absolute lymphocyte count, &#x000D7; 10<sup>9</sup>/L</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.224</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.467</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 1.0</td>
<td align="center" valign="top">59.7</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">91.0</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 1.0</td>
<td align="center" valign="top">66.2</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">90.3</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Serum &#x003B2;2-microglobulin, mg/L</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 3.5</td>
<td align="center" valign="top">74.8</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">98.7</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 3.5</td>
<td align="center" valign="top">54.5</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">84.7</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Serum albumin, g/dL</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.737</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.637</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 3.5</td>
<td align="center" valign="top">61.9</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">85.6</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 3.5</td>
<td align="center" valign="top">66.9</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">95.0</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Lactate dehydrogenase, IU/L</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.009</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Normal</td>
<td align="center" valign="top">67.4</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">95.2</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Abnormal</td>
<td align="center" valign="top">50.5</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">73.4</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Cytogenetic abnormalities</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.018</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.028</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Standard</td>
<td align="center" valign="top">68.5</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">92.1</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Intermediate</td>
<td align="center" valign="top">48.5</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">83.3</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">61.5</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">81.0</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">International Staging System</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.024</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;I</td>
<td align="center" valign="top">74.7</td>
<td align="center" valign="top">0.062</td>
<td align="center" valign="top">98.0</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;II</td>
<td align="center" valign="top">63.6</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">90.3</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;III</td>
<td align="center" valign="top">52.5</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">83.8</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Abnormal inflammatory factors</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.004</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">&lt; 0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 2</td>
<td align="center" valign="top">72.1</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">98.1</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 2</td>
<td align="center" valign="top">53.3</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">81.1</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">Response before ASCT</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.103</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.617</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;CR or sCR</td>
<td align="center" valign="top">73.0</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">92.4</td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; CR</td>
<td align="center" valign="top">61.7</td>
<td align="center" valign="top"></td>
<td align="center" valign="top">89.2</td>
<td align="center" valign="top"></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>ASCT, autologous stem cell transplantation; CR, complete response; sCR, stringent complete response.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t3-kjim-30-5-675" position="float">
<label>Table 3.</label>
<caption><p>Multivariate analysis for survival</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Variable</th>
<th align="center" valign="middle" colspan="3">Progression-free survival<hr/></th>
<th align="center" valign="middle" colspan="3">Overall survival<hr/></th>
</tr><tr>
<th align="center" valign="middle">RR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
<th align="center" valign="middle">RR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Hemoglobin, g/dL</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 10</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 10</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">0.989</td>
<td align="center" valign="top">0.441-2.223</td>
<td align="center" valign="top">0.980</td>
</tr>
<tr>
<td align="left" valign="top">Platelet count, &#x000D7; 10<sup>9</sup>/L</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 100</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 100</td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
<td align="center" valign="top">4.739</td>
<td align="center" valign="top">1.897-11.839</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Abnormal inflammatory factors</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&lt; 2</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02265; 2</td>
<td align="center" valign="top">0.618</td>
<td align="center" valign="top">0.409-0.933</td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top">0.263</td>
<td align="center" valign="top">0.113-0.612</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top">Cytogenetic abnormalities</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Standard</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>
<td align="center" valign="top"></td>
<td align="center" valign="top"></td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;Intermediate</td>
<td align="center" valign="top">0.737</td>
<td align="center" valign="top">0.350-1.551</td>
<td align="center" valign="top">0.422</td>
<td align="center" valign="top">0.762</td>
<td align="center" valign="top">0.216-2.689</td>
<td align="center" valign="top">0.673</td>
</tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">1.240</td>
<td align="center" valign="top">0.541-2.842</td>
<td align="center" valign="top">0.611</td>
<td align="center" valign="top">1.347</td>
<td align="center" valign="top">0.346-5.251</td>
<td align="center" valign="top">0.668</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>RR, relative risk; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>