Development and validation of immune dysfunction score to predict 28-day mortality of sepsis patients
Sepsis-induced immune dysfunction ranging from cytokines storm to immunoparalysis impacts outcomes. Monitoring immune dysfunction enables better risk stratification and mortality prediction and is mandatory before widely application of immunoadjuvant therapies. We aimed to develop and validate a sco...
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creator | Fang, Wen-Feng Douglas, Ivor S Chen, Yu-Mu Lin, Chiung-Yu Kao, Hsu-Ching Fang, Ying-Tang Huang, Chi-Han Chang, Ya-Ting Huang, Kuo-Tung Wang, Yi-His Wang, Chin-Chou Lin, Meng-Chih |
description | Sepsis-induced immune dysfunction ranging from cytokines storm to immunoparalysis impacts outcomes. Monitoring immune dysfunction enables better risk stratification and mortality prediction and is mandatory before widely application of immunoadjuvant therapies. We aimed to develop and validate a scoring system according to patients' immune dysfunction status for 28-day mortality prediction.
A prospective observational study from a cohort of adult sepsis patients admitted to ICU between August 2013 and June 2016 at Kaohsiung Chang Gung Memorial Hospital in Taiwan. We evaluated immune dysfunction status through measurement of baseline plasma Cytokine levels, Monocyte human leukocyte-DR expression by flow cytometry, and stimulated immune response using post LPS stimulated cytokine elevation ratio. An immune dysfunction score was created for 28-day mortality prediction and was validated.
A total of 151 patients were enrolled. Data of the first consecutive 106 septic patients comprised the training cohort, and of other 45 patients comprised the validation cohort. Among the 106 patients, 21 died and 85 were still alive on day 28 after ICU admission. (mortality rate, 19.8%). Independent predictive factors revealed via multivariate logistic regression analysis included segmented neutrophil-to-monocyte ratio, granulocyte-colony stimulating factor, interleukin-10, and monocyte human leukocyte antigen-antigen D-related levels, all of which were selected to construct the score, which predicted 28-day mortality with area under the curve of 0.853 and 0.789 in the training and validation cohorts, respectively.
The immune dysfunction scoring system developed here included plasma granulocyte-colony stimulating factor level, interleukin-10 level, serum segmented neutrophil-to-monocyte ratio, and monocyte human leukocyte antigen-antigen D-related expression appears valid and reproducible for predicting 28-day mortality. |
doi_str_mv | 10.1371/journal.pone.0187088 |
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A prospective observational study from a cohort of adult sepsis patients admitted to ICU between August 2013 and June 2016 at Kaohsiung Chang Gung Memorial Hospital in Taiwan. We evaluated immune dysfunction status through measurement of baseline plasma Cytokine levels, Monocyte human leukocyte-DR expression by flow cytometry, and stimulated immune response using post LPS stimulated cytokine elevation ratio. An immune dysfunction score was created for 28-day mortality prediction and was validated.
A total of 151 patients were enrolled. Data of the first consecutive 106 septic patients comprised the training cohort, and of other 45 patients comprised the validation cohort. Among the 106 patients, 21 died and 85 were still alive on day 28 after ICU admission. (mortality rate, 19.8%). Independent predictive factors revealed via multivariate logistic regression analysis included segmented neutrophil-to-monocyte ratio, granulocyte-colony stimulating factor, interleukin-10, and monocyte human leukocyte antigen-antigen D-related levels, all of which were selected to construct the score, which predicted 28-day mortality with area under the curve of 0.853 and 0.789 in the training and validation cohorts, respectively.
The immune dysfunction scoring system developed here included plasma granulocyte-colony stimulating factor level, interleukin-10 level, serum segmented neutrophil-to-monocyte ratio, and monocyte human leukocyte antigen-antigen D-related expression appears valid and reproducible for predicting 28-day mortality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0187088</identifier><identifier>PMID: 29073262</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Biology and Life Sciences ; Cohort Studies ; Colonies ; Colony-stimulating factor ; Critical care ; Cytokines ; Cytokines - blood ; Cytometry ; Data processing ; Demographic aspects ; Development and progression ; Flow Cytometry ; Granulocytes ; Histocompatibility antigen HLA ; Hospitals ; Humans ; Immune response ; Immune system ; Immunology ; Intensive care ; Interleukin 10 ; Internal medicine ; Leukocytes (granulocytic) ; Lipopolysaccharides ; Lipopolysaccharides - pharmacology ; Medicine ; Medicine and Health Sciences ; Monocytes ; Mortality ; Neutrophils ; Nosocomial infections ; Patients ; Physicians ; Physiological aspects ; Predictions ; Prognosis ; Prospective Studies ; Regression analysis ; Sepsis ; Sepsis - immunology ; Sepsis - mortality ; Training</subject><ispartof>PloS one, 2017-10, Vol.12 (10), p.e0187088-e0187088</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Fang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (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 Fang et al 2017 Fang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-c6c6508501591638b53c61675b0616ed08c5cdf5d253be1bd92d617926e7c4fc3</citedby><cites>FETCH-LOGICAL-c692t-c6c6508501591638b53c61675b0616ed08c5cdf5d253be1bd92d617926e7c4fc3</cites><orcidid>0000-0001-7777-9356</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/PMC5658156/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658156/$$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/29073262$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fang, Wen-Feng</creatorcontrib><creatorcontrib>Douglas, Ivor S</creatorcontrib><creatorcontrib>Chen, Yu-Mu</creatorcontrib><creatorcontrib>Lin, Chiung-Yu</creatorcontrib><creatorcontrib>Kao, Hsu-Ching</creatorcontrib><creatorcontrib>Fang, Ying-Tang</creatorcontrib><creatorcontrib>Huang, Chi-Han</creatorcontrib><creatorcontrib>Chang, Ya-Ting</creatorcontrib><creatorcontrib>Huang, Kuo-Tung</creatorcontrib><creatorcontrib>Wang, Yi-His</creatorcontrib><creatorcontrib>Wang, Chin-Chou</creatorcontrib><creatorcontrib>Lin, Meng-Chih</creatorcontrib><title>Development and validation of immune dysfunction score to predict 28-day mortality of sepsis patients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Sepsis-induced immune dysfunction ranging from cytokines storm to immunoparalysis impacts outcomes. Monitoring immune dysfunction enables better risk stratification and mortality prediction and is mandatory before widely application of immunoadjuvant therapies. We aimed to develop and validate a scoring system according to patients' immune dysfunction status for 28-day mortality prediction.
A prospective observational study from a cohort of adult sepsis patients admitted to ICU between August 2013 and June 2016 at Kaohsiung Chang Gung Memorial Hospital in Taiwan. We evaluated immune dysfunction status through measurement of baseline plasma Cytokine levels, Monocyte human leukocyte-DR expression by flow cytometry, and stimulated immune response using post LPS stimulated cytokine elevation ratio. An immune dysfunction score was created for 28-day mortality prediction and was validated.
A total of 151 patients were enrolled. Data of the first consecutive 106 septic patients comprised the training cohort, and of other 45 patients comprised the validation cohort. Among the 106 patients, 21 died and 85 were still alive on day 28 after ICU admission. (mortality rate, 19.8%). Independent predictive factors revealed via multivariate logistic regression analysis included segmented neutrophil-to-monocyte ratio, granulocyte-colony stimulating factor, interleukin-10, and monocyte human leukocyte antigen-antigen D-related levels, all of which were selected to construct the score, which predicted 28-day mortality with area under the curve of 0.853 and 0.789 in the training and validation cohorts, respectively.
The immune dysfunction scoring system developed here included plasma granulocyte-colony stimulating factor level, interleukin-10 level, serum segmented neutrophil-to-monocyte ratio, and monocyte human leukocyte antigen-antigen D-related expression appears valid and reproducible for predicting 28-day mortality.</description><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Cohort Studies</subject><subject>Colonies</subject><subject>Colony-stimulating factor</subject><subject>Critical care</subject><subject>Cytokines</subject><subject>Cytokines - blood</subject><subject>Cytometry</subject><subject>Data processing</subject><subject>Demographic aspects</subject><subject>Development and progression</subject><subject>Flow Cytometry</subject><subject>Granulocytes</subject><subject>Histocompatibility antigen HLA</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immune response</subject><subject>Immune system</subject><subject>Immunology</subject><subject>Intensive care</subject><subject>Interleukin 10</subject><subject>Internal medicine</subject><subject>Leukocytes (granulocytic)</subject><subject>Lipopolysaccharides</subject><subject>Lipopolysaccharides - pharmacology</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Monocytes</subject><subject>Mortality</subject><subject>Neutrophils</subject><subject>Nosocomial infections</subject><subject>Patients</subject><subject>Physicians</subject><subject>Physiological aspects</subject><subject>Predictions</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Sepsis</subject><subject>Sepsis - immunology</subject><subject>Sepsis - mortality</subject><subject>Training</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>eNqNk11r2zAUhs3YWLtu_2BshsHYLpJJliVLN4PSfQUKhX3dCkU6ThRsy5XksPz7yYlbktGL2WCJ4-d9j3V8Tpa9xGiOSYU_bNzgO9XMe9fBHGFeIc4fZedYkGLGCkQeH-3PsmchbBCihDP2NDsrBKpIwYrzDD7BFhrXt9DFXHUm36rGGhWt63JX57Zthw5yswv10Ol9NGjnIY8u7z0Yq2Ne8JlRu7x1PiZt3I26AH2wIe-TUTIOz7MntWoCvJjWi-zXl88_r77Nrm--Lq4ur2eaiSKmp2YUcYowFZgRvqREM8wqukRpAYO4ptrU1BSULAEvjSgMw5UoGFS6rDW5yF4ffPvGBTlVKEgsKCuJKEWViMWBME5tZO9tq_xOOmXlPuD8SiofrW5A1swIQygXgGhZ4ZKD4kIXnFeapGvM9nHKNixbMDqd1KvmxPT0TWfXcuW2kjLKMWXJ4N1k4N3tACHK1gYNTaM6cMP-u6uScVrihL75B334dBO1UukAtqtdyqtHU3lJMaYkNUCZqPkDVLoNtFandqptip8I3p8IEhPhT1ypIQS5-PH9_9mb36fs2yN2DaqJ6-CaYeyzcAqWB1B7F4KH-r7IGMlxGu6qIcdpkNM0JNmr4x90L7prf_IX4t4ERA</recordid><startdate>20171026</startdate><enddate>20171026</enddate><creator>Fang, Wen-Feng</creator><creator>Douglas, Ivor S</creator><creator>Chen, Yu-Mu</creator><creator>Lin, Chiung-Yu</creator><creator>Kao, Hsu-Ching</creator><creator>Fang, Ying-Tang</creator><creator>Huang, Chi-Han</creator><creator>Chang, Ya-Ting</creator><creator>Huang, Kuo-Tung</creator><creator>Wang, Yi-His</creator><creator>Wang, Chin-Chou</creator><creator>Lin, Meng-Chih</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>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7777-9356</orcidid></search><sort><creationdate>20171026</creationdate><title>Development and validation of immune dysfunction score to predict 28-day mortality of sepsis patients</title><author>Fang, Wen-Feng ; Douglas, Ivor S ; Chen, Yu-Mu ; Lin, Chiung-Yu ; Kao, Hsu-Ching ; Fang, Ying-Tang ; Huang, Chi-Han ; Chang, Ya-Ting ; Huang, Kuo-Tung ; Wang, Yi-His ; Wang, Chin-Chou ; Lin, Meng-Chih</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-c6c6508501591638b53c61675b0616ed08c5cdf5d253be1bd92d617926e7c4fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Cohort Studies</topic><topic>Colonies</topic><topic>Colony-stimulating factor</topic><topic>Critical care</topic><topic>Cytokines</topic><topic>Cytokines - blood</topic><topic>Cytometry</topic><topic>Data processing</topic><topic>Demographic aspects</topic><topic>Development and progression</topic><topic>Flow Cytometry</topic><topic>Granulocytes</topic><topic>Histocompatibility antigen HLA</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Immune response</topic><topic>Immune system</topic><topic>Immunology</topic><topic>Intensive care</topic><topic>Interleukin 10</topic><topic>Internal medicine</topic><topic>Leukocytes (granulocytic)</topic><topic>Lipopolysaccharides</topic><topic>Lipopolysaccharides - pharmacology</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Monocytes</topic><topic>Mortality</topic><topic>Neutrophils</topic><topic>Nosocomial infections</topic><topic>Patients</topic><topic>Physicians</topic><topic>Physiological aspects</topic><topic>Predictions</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Sepsis</topic><topic>Sepsis - 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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>Fang, Wen-Feng</au><au>Douglas, Ivor S</au><au>Chen, Yu-Mu</au><au>Lin, Chiung-Yu</au><au>Kao, Hsu-Ching</au><au>Fang, Ying-Tang</au><au>Huang, Chi-Han</au><au>Chang, Ya-Ting</au><au>Huang, Kuo-Tung</au><au>Wang, Yi-His</au><au>Wang, Chin-Chou</au><au>Lin, Meng-Chih</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and validation of immune dysfunction score to predict 28-day mortality of sepsis patients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-10-26</date><risdate>2017</risdate><volume>12</volume><issue>10</issue><spage>e0187088</spage><epage>e0187088</epage><pages>e0187088-e0187088</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Sepsis-induced immune dysfunction ranging from cytokines storm to immunoparalysis impacts outcomes. Monitoring immune dysfunction enables better risk stratification and mortality prediction and is mandatory before widely application of immunoadjuvant therapies. We aimed to develop and validate a scoring system according to patients' immune dysfunction status for 28-day mortality prediction.
A prospective observational study from a cohort of adult sepsis patients admitted to ICU between August 2013 and June 2016 at Kaohsiung Chang Gung Memorial Hospital in Taiwan. We evaluated immune dysfunction status through measurement of baseline plasma Cytokine levels, Monocyte human leukocyte-DR expression by flow cytometry, and stimulated immune response using post LPS stimulated cytokine elevation ratio. An immune dysfunction score was created for 28-day mortality prediction and was validated.
A total of 151 patients were enrolled. Data of the first consecutive 106 septic patients comprised the training cohort, and of other 45 patients comprised the validation cohort. Among the 106 patients, 21 died and 85 were still alive on day 28 after ICU admission. (mortality rate, 19.8%). Independent predictive factors revealed via multivariate logistic regression analysis included segmented neutrophil-to-monocyte ratio, granulocyte-colony stimulating factor, interleukin-10, and monocyte human leukocyte antigen-antigen D-related levels, all of which were selected to construct the score, which predicted 28-day mortality with area under the curve of 0.853 and 0.789 in the training and validation cohorts, respectively.
The immune dysfunction scoring system developed here included plasma granulocyte-colony stimulating factor level, interleukin-10 level, serum segmented neutrophil-to-monocyte ratio, and monocyte human leukocyte antigen-antigen D-related expression appears valid and reproducible for predicting 28-day mortality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29073262</pmid><doi>10.1371/journal.pone.0187088</doi><tpages>e0187088</tpages><orcidid>https://orcid.org/0000-0001-7777-9356</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Analysis Biology and Life Sciences Cohort Studies Colonies Colony-stimulating factor Critical care Cytokines Cytokines - blood Cytometry Data processing Demographic aspects Development and progression Flow Cytometry Granulocytes Histocompatibility antigen HLA Hospitals Humans Immune response Immune system Immunology Intensive care Interleukin 10 Internal medicine Leukocytes (granulocytic) Lipopolysaccharides Lipopolysaccharides - pharmacology Medicine Medicine and Health Sciences Monocytes Mortality Neutrophils Nosocomial infections Patients Physicians Physiological aspects Predictions Prognosis Prospective Studies Regression analysis Sepsis Sepsis - immunology Sepsis - mortality Training |
title | Development and validation of immune dysfunction score to predict 28-day mortality of sepsis patients |
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