Interleukin-10/lymphocyte ratio predicts mortality in severe septic patients
Immunosuppression is common even in the early stage of severe sepsis. Interleukin-10 (IL-10) secretion and lymphocyte exhaustion are the main features of sepsis-induced immunosuppression. However, the relationship between IL-10 and the lymphocyte is still unclear. We investigated if IL-10/lymphocyte...
Gespeichert in:
Veröffentlicht in: | PloS one 2017-06, Vol.12 (6), p.e0179050 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 6 |
container_start_page | e0179050 |
container_title | PloS one |
container_volume | 12 |
creator | Li, Xi Xu, Zhiheng Pang, Xiaoqing Huang, Yongbo Yang, Baoxin Yang, Yuanyuan Chen, Kangxie Liu, Xiaoqing Mao, Pu Li, Yimin |
description | Immunosuppression is common even in the early stage of severe sepsis. Interleukin-10 (IL-10) secretion and lymphocyte exhaustion are the main features of sepsis-induced immunosuppression. However, the relationship between IL-10 and the lymphocyte is still unclear. We investigated if IL-10/lymphocyte ratio (IL10LCR) were associated with mortality in severe septic patients.
Adult patients with severe sepsis admitted to ICU of the First Affiliated Hospital of Guangzhou Medical University were identified from October 2012 to August 2013. Within 24 hours of ICU admission, peripheral whole blood was collected for the measurement of IL-10 using commercial multiplex bead-based assay kits and determination of lymphocyte count from laboratory data. The primary outcome was 28-day mortality.
A total of 63 severe sepsis patients were identified. There were 20 (32%) patients died within 28 days. IL10LCR in non-survival patients was significantly higher than survival patients (median (IQR) 36.78 (12.34-79.63) ng/ml2 versus 11.01(5.41-27.50) ng/ml2, P = 0.002). Correlation analysis showed that IL10LCR was significantly correlated with APACHE II score (Spearman's rho = 0.424, P |
doi_str_mv | 10.1371/journal.pone.0179050 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1911174198</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A495882274</galeid><doaj_id>oai_doaj_org_article_46a78b8e4c57408c8e36c5b4b2f6d1c3</doaj_id><sourcerecordid>A495882274</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-5a8aafbc69769839f1b5964a9d337e2be77a68e974dbeab300541d1fd29e39753</originalsourceid><addsrcrecordid>eNqNkl1r2zAUhs3YWLts_2BsgcHYLpJKlixZN4NS9hEIFPZ1K2T5OFEmW64kl-XfT1ncEo9eDAv04ee8OufozbKXGC0x4fhi5wbfKbvsXQdLhLlABXqUnWNB8gXLEXl8sj7LnoWwQ6ggJWNPs7O8ZGnw4jxbr7oI3sLwy3QLjC7svu23Tu8jzL2Kxs17D7XRMcxb56OyJu7nppsHuAUPaeqj0fM-kdDF8Dx70igb4MU4z7Ifnz5-v_qyWF9_Xl1drheaiTwuClUq1VRpw5koiWhwVQhGlagJ4ZBXwLliJQhO6wpURVLeFNe4qXMBRPCCzLLXR93euiDHRgSJBcaYU5w0Z9nqSNRO7WTvTav8Xjpl5N8D5zdS-ZS6BUmZ4mVVAtUFp6jUJRCmi4pWecNqrEnS-jDeNlQt1DpV6pWdiE7_dGYrN-5WFpSznKIk8G4U8O5mgBBla4IGa1UHbjjmzREhBU7om3_Qh6sbqY1KBZiucelefRCVl1QUZZnnnCZq-QCVvhpao5NrGpPOJwHvJwGJifA7btQQglx9-_r_7PXPKfv2hN2CsnEbnB2SvbowBekR1N6F4KG5bzJG8mD6u27Ig-nlaPoU9ur0ge6D7lxO_gAPC_xw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1911174198</pqid></control><display><type>article</type><title>Interleukin-10/lymphocyte ratio predicts mortality in severe septic patients</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Li, Xi ; Xu, Zhiheng ; Pang, Xiaoqing ; Huang, Yongbo ; Yang, Baoxin ; Yang, Yuanyuan ; Chen, Kangxie ; Liu, Xiaoqing ; Mao, Pu ; Li, Yimin</creator><creatorcontrib>Li, Xi ; Xu, Zhiheng ; Pang, Xiaoqing ; Huang, Yongbo ; Yang, Baoxin ; Yang, Yuanyuan ; Chen, Kangxie ; Liu, Xiaoqing ; Mao, Pu ; Li, Yimin</creatorcontrib><description>Immunosuppression is common even in the early stage of severe sepsis. Interleukin-10 (IL-10) secretion and lymphocyte exhaustion are the main features of sepsis-induced immunosuppression. However, the relationship between IL-10 and the lymphocyte is still unclear. We investigated if IL-10/lymphocyte ratio (IL10LCR) were associated with mortality in severe septic patients.
Adult patients with severe sepsis admitted to ICU of the First Affiliated Hospital of Guangzhou Medical University were identified from October 2012 to August 2013. Within 24 hours of ICU admission, peripheral whole blood was collected for the measurement of IL-10 using commercial multiplex bead-based assay kits and determination of lymphocyte count from laboratory data. The primary outcome was 28-day mortality.
A total of 63 severe sepsis patients were identified. There were 20 (32%) patients died within 28 days. IL10LCR in non-survival patients was significantly higher than survival patients (median (IQR) 36.78 (12.34-79.63) ng/ml2 versus 11.01(5.41-27.50) ng/ml2, P = 0.002). Correlation analysis showed that IL10LCR was significantly correlated with APACHE II score (Spearman's rho = 0.424, P<0.001). The receiver operating characteristic (ROC) curves showed the area under the curve was 0.749 for IL10LCR level to predict 28-day mortality with sensitivity and specificity at 70.0% and 74.4%, respectively. At an optimal cutoff of 23.39ng/ml2, Kaplan-Meier curve showed survival in patients with IL10LCR level above 23.39ng/ml2 was significantly lower than in patients with IL10LCR level less than 23.39ng/ml2 (P = 0.001 by log-rank test).
IL10LCR level is significantly associated with the severity and outcome of severe septic patients. It may serve as a biomarker for sepsis-induced immunosuppression.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0179050</identifier><identifier>PMID: 28628675</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Analysis ; APACHE ; Apoptosis ; Area Under Curve ; Bioindicators ; Biology and Life Sciences ; Biomarkers ; Blood ; Cell number ; Chemotherapy ; China ; Clinical outcomes ; Correlation analysis ; Critical care ; Cytokines ; Exhaustion ; Female ; Genetic aspects ; Hematology ; Hospitals ; Humans ; Immunology ; Immunosuppression ; Infectious diseases ; Intensive care ; Intensive Care Units ; Interleukin ; Interleukin 1 ; Interleukin 10 ; Interleukin-10 - blood ; Kaplan-Meier Estimate ; Laboratories ; Lymphocyte Count ; Lymphocytes ; Lymphocytes - cytology ; Male ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Multiplexing ; Nosocomial infections ; Patients ; Plasma ; Proportional Hazards Models ; Radiation therapy ; Respiratory diseases ; ROC Curve ; Sepsis ; Sepsis - mortality ; Sepsis - pathology ; Studies ; Survival</subject><ispartof>PloS one, 2017-06, Vol.12 (6), p.e0179050</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Li et al 2017 Li et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-5a8aafbc69769839f1b5964a9d337e2be77a68e974dbeab300541d1fd29e39753</citedby><cites>FETCH-LOGICAL-c692t-5a8aafbc69769839f1b5964a9d337e2be77a68e974dbeab300541d1fd29e39753</cites><orcidid>0000-0003-0810-5256</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476240/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476240/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28628675$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xi</creatorcontrib><creatorcontrib>Xu, Zhiheng</creatorcontrib><creatorcontrib>Pang, Xiaoqing</creatorcontrib><creatorcontrib>Huang, Yongbo</creatorcontrib><creatorcontrib>Yang, Baoxin</creatorcontrib><creatorcontrib>Yang, Yuanyuan</creatorcontrib><creatorcontrib>Chen, Kangxie</creatorcontrib><creatorcontrib>Liu, Xiaoqing</creatorcontrib><creatorcontrib>Mao, Pu</creatorcontrib><creatorcontrib>Li, Yimin</creatorcontrib><title>Interleukin-10/lymphocyte ratio predicts mortality in severe septic patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Immunosuppression is common even in the early stage of severe sepsis. Interleukin-10 (IL-10) secretion and lymphocyte exhaustion are the main features of sepsis-induced immunosuppression. However, the relationship between IL-10 and the lymphocyte is still unclear. We investigated if IL-10/lymphocyte ratio (IL10LCR) were associated with mortality in severe septic patients.
Adult patients with severe sepsis admitted to ICU of the First Affiliated Hospital of Guangzhou Medical University were identified from October 2012 to August 2013. Within 24 hours of ICU admission, peripheral whole blood was collected for the measurement of IL-10 using commercial multiplex bead-based assay kits and determination of lymphocyte count from laboratory data. The primary outcome was 28-day mortality.
A total of 63 severe sepsis patients were identified. There were 20 (32%) patients died within 28 days. IL10LCR in non-survival patients was significantly higher than survival patients (median (IQR) 36.78 (12.34-79.63) ng/ml2 versus 11.01(5.41-27.50) ng/ml2, P = 0.002). Correlation analysis showed that IL10LCR was significantly correlated with APACHE II score (Spearman's rho = 0.424, P<0.001). The receiver operating characteristic (ROC) curves showed the area under the curve was 0.749 for IL10LCR level to predict 28-day mortality with sensitivity and specificity at 70.0% and 74.4%, respectively. At an optimal cutoff of 23.39ng/ml2, Kaplan-Meier curve showed survival in patients with IL10LCR level above 23.39ng/ml2 was significantly lower than in patients with IL10LCR level less than 23.39ng/ml2 (P = 0.001 by log-rank test).
IL10LCR level is significantly associated with the severity and outcome of severe septic patients. It may serve as a biomarker for sepsis-induced immunosuppression.</description><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>APACHE</subject><subject>Apoptosis</subject><subject>Area Under Curve</subject><subject>Bioindicators</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Cell number</subject><subject>Chemotherapy</subject><subject>China</subject><subject>Clinical outcomes</subject><subject>Correlation analysis</subject><subject>Critical care</subject><subject>Cytokines</subject><subject>Exhaustion</subject><subject>Female</subject><subject>Genetic aspects</subject><subject>Hematology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immunology</subject><subject>Immunosuppression</subject><subject>Infectious diseases</subject><subject>Intensive care</subject><subject>Intensive Care Units</subject><subject>Interleukin</subject><subject>Interleukin 1</subject><subject>Interleukin 10</subject><subject>Interleukin-10 - blood</subject><subject>Kaplan-Meier Estimate</subject><subject>Laboratories</subject><subject>Lymphocyte Count</subject><subject>Lymphocytes</subject><subject>Lymphocytes - cytology</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multiplexing</subject><subject>Nosocomial infections</subject><subject>Patients</subject><subject>Plasma</subject><subject>Proportional Hazards Models</subject><subject>Radiation therapy</subject><subject>Respiratory diseases</subject><subject>ROC Curve</subject><subject>Sepsis</subject><subject>Sepsis - mortality</subject><subject>Sepsis - pathology</subject><subject>Studies</subject><subject>Survival</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1r2zAUhs3YWLts_2BsgcHYLpJKlixZN4NS9hEIFPZ1K2T5OFEmW64kl-XfT1ncEo9eDAv04ee8OufozbKXGC0x4fhi5wbfKbvsXQdLhLlABXqUnWNB8gXLEXl8sj7LnoWwQ6ggJWNPs7O8ZGnw4jxbr7oI3sLwy3QLjC7svu23Tu8jzL2Kxs17D7XRMcxb56OyJu7nppsHuAUPaeqj0fM-kdDF8Dx70igb4MU4z7Ifnz5-v_qyWF9_Xl1drheaiTwuClUq1VRpw5koiWhwVQhGlagJ4ZBXwLliJQhO6wpURVLeFNe4qXMBRPCCzLLXR93euiDHRgSJBcaYU5w0Z9nqSNRO7WTvTav8Xjpl5N8D5zdS-ZS6BUmZ4mVVAtUFp6jUJRCmi4pWecNqrEnS-jDeNlQt1DpV6pWdiE7_dGYrN-5WFpSznKIk8G4U8O5mgBBla4IGa1UHbjjmzREhBU7om3_Qh6sbqY1KBZiucelefRCVl1QUZZnnnCZq-QCVvhpao5NrGpPOJwHvJwGJifA7btQQglx9-_r_7PXPKfv2hN2CsnEbnB2SvbowBekR1N6F4KG5bzJG8mD6u27Ig-nlaPoU9ur0ge6D7lxO_gAPC_xw</recordid><startdate>20170619</startdate><enddate>20170619</enddate><creator>Li, Xi</creator><creator>Xu, Zhiheng</creator><creator>Pang, Xiaoqing</creator><creator>Huang, Yongbo</creator><creator>Yang, Baoxin</creator><creator>Yang, Yuanyuan</creator><creator>Chen, Kangxie</creator><creator>Liu, Xiaoqing</creator><creator>Mao, Pu</creator><creator>Li, Yimin</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0810-5256</orcidid></search><sort><creationdate>20170619</creationdate><title>Interleukin-10/lymphocyte ratio predicts mortality in severe septic patients</title><author>Li, Xi ; Xu, Zhiheng ; Pang, Xiaoqing ; Huang, Yongbo ; Yang, Baoxin ; Yang, Yuanyuan ; Chen, Kangxie ; Liu, Xiaoqing ; Mao, Pu ; Li, Yimin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-5a8aafbc69769839f1b5964a9d337e2be77a68e974dbeab300541d1fd29e39753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>APACHE</topic><topic>Apoptosis</topic><topic>Area Under Curve</topic><topic>Bioindicators</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood</topic><topic>Cell number</topic><topic>Chemotherapy</topic><topic>China</topic><topic>Clinical outcomes</topic><topic>Correlation analysis</topic><topic>Critical care</topic><topic>Cytokines</topic><topic>Exhaustion</topic><topic>Female</topic><topic>Genetic aspects</topic><topic>Hematology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Immunology</topic><topic>Immunosuppression</topic><topic>Infectious diseases</topic><topic>Intensive care</topic><topic>Intensive Care Units</topic><topic>Interleukin</topic><topic>Interleukin 1</topic><topic>Interleukin 10</topic><topic>Interleukin-10 - blood</topic><topic>Kaplan-Meier Estimate</topic><topic>Laboratories</topic><topic>Lymphocyte Count</topic><topic>Lymphocytes</topic><topic>Lymphocytes - cytology</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multiplexing</topic><topic>Nosocomial infections</topic><topic>Patients</topic><topic>Plasma</topic><topic>Proportional Hazards Models</topic><topic>Radiation therapy</topic><topic>Respiratory diseases</topic><topic>ROC Curve</topic><topic>Sepsis</topic><topic>Sepsis - mortality</topic><topic>Sepsis - pathology</topic><topic>Studies</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xi</creatorcontrib><creatorcontrib>Xu, Zhiheng</creatorcontrib><creatorcontrib>Pang, Xiaoqing</creatorcontrib><creatorcontrib>Huang, Yongbo</creatorcontrib><creatorcontrib>Yang, Baoxin</creatorcontrib><creatorcontrib>Yang, Yuanyuan</creatorcontrib><creatorcontrib>Chen, Kangxie</creatorcontrib><creatorcontrib>Liu, Xiaoqing</creatorcontrib><creatorcontrib>Mao, Pu</creatorcontrib><creatorcontrib>Li, Yimin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xi</au><au>Xu, Zhiheng</au><au>Pang, Xiaoqing</au><au>Huang, Yongbo</au><au>Yang, Baoxin</au><au>Yang, Yuanyuan</au><au>Chen, Kangxie</au><au>Liu, Xiaoqing</au><au>Mao, Pu</au><au>Li, Yimin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interleukin-10/lymphocyte ratio predicts mortality in severe septic patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-06-19</date><risdate>2017</risdate><volume>12</volume><issue>6</issue><spage>e0179050</spage><pages>e0179050-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Immunosuppression is common even in the early stage of severe sepsis. Interleukin-10 (IL-10) secretion and lymphocyte exhaustion are the main features of sepsis-induced immunosuppression. However, the relationship between IL-10 and the lymphocyte is still unclear. We investigated if IL-10/lymphocyte ratio (IL10LCR) were associated with mortality in severe septic patients.
Adult patients with severe sepsis admitted to ICU of the First Affiliated Hospital of Guangzhou Medical University were identified from October 2012 to August 2013. Within 24 hours of ICU admission, peripheral whole blood was collected for the measurement of IL-10 using commercial multiplex bead-based assay kits and determination of lymphocyte count from laboratory data. The primary outcome was 28-day mortality.
A total of 63 severe sepsis patients were identified. There were 20 (32%) patients died within 28 days. IL10LCR in non-survival patients was significantly higher than survival patients (median (IQR) 36.78 (12.34-79.63) ng/ml2 versus 11.01(5.41-27.50) ng/ml2, P = 0.002). Correlation analysis showed that IL10LCR was significantly correlated with APACHE II score (Spearman's rho = 0.424, P<0.001). The receiver operating characteristic (ROC) curves showed the area under the curve was 0.749 for IL10LCR level to predict 28-day mortality with sensitivity and specificity at 70.0% and 74.4%, respectively. At an optimal cutoff of 23.39ng/ml2, Kaplan-Meier curve showed survival in patients with IL10LCR level above 23.39ng/ml2 was significantly lower than in patients with IL10LCR level less than 23.39ng/ml2 (P = 0.001 by log-rank test).
IL10LCR level is significantly associated with the severity and outcome of severe septic patients. It may serve as a biomarker for sepsis-induced immunosuppression.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28628675</pmid><doi>10.1371/journal.pone.0179050</doi><tpages>e0179050</tpages><orcidid>https://orcid.org/0000-0003-0810-5256</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-06, Vol.12 (6), p.e0179050 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1911174198 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adult Aged Analysis APACHE Apoptosis Area Under Curve Bioindicators Biology and Life Sciences Biomarkers Blood Cell number Chemotherapy China Clinical outcomes Correlation analysis Critical care Cytokines Exhaustion Female Genetic aspects Hematology Hospitals Humans Immunology Immunosuppression Infectious diseases Intensive care Intensive Care Units Interleukin Interleukin 1 Interleukin 10 Interleukin-10 - blood Kaplan-Meier Estimate Laboratories Lymphocyte Count Lymphocytes Lymphocytes - cytology Male Medicine and Health Sciences Middle Aged Mortality Multiplexing Nosocomial infections Patients Plasma Proportional Hazards Models Radiation therapy Respiratory diseases ROC Curve Sepsis Sepsis - mortality Sepsis - pathology Studies Survival |
title | Interleukin-10/lymphocyte ratio predicts mortality in severe septic patients |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T07%3A43%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Interleukin-10/lymphocyte%20ratio%20predicts%20mortality%20in%20severe%20septic%20patients&rft.jtitle=PloS%20one&rft.au=Li,%20Xi&rft.date=2017-06-19&rft.volume=12&rft.issue=6&rft.spage=e0179050&rft.pages=e0179050-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0179050&rft_dat=%3Cgale_plos_%3EA495882274%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1911174198&rft_id=info:pmid/28628675&rft_galeid=A495882274&rft_doaj_id=oai_doaj_org_article_46a78b8e4c57408c8e36c5b4b2f6d1c3&rfr_iscdi=true |