Interleukin-27: a novel biomarker in predicting bacterial infection among the critically ill
A continued need exists for effective diagnostic biomarkers in bacterial sepsis among critically ill patients, despite increasing use of available biomarkers such as procalcitonin (PCT). Interleukin-27 (IL-27) has shown early promise in a recent preliminary study, exhibiting high specificity and pos...
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description | A continued need exists for effective diagnostic biomarkers in bacterial sepsis among critically ill patients, despite increasing use of available biomarkers such as procalcitonin (PCT). Interleukin-27 (IL-27) has shown early promise in a recent preliminary study, exhibiting high specificity and positive predictive values for bacterial infection in critically ill children. This validation study was performed to assess the value of IL-27 in predicting bacterial infection among patients admitted to the pediatric intensive care unit and to compare its performance with that of PCT.
A single-center (n = 702) prospective study was performed comparing both IL-27 and PCT levels between bacterially infected and uninfected cohorts in the pediatric intensive care unit. Infected status was determined by a chart review by an intensivist blinded to biomarker results. Formal performance comparisons included calculations of receiver operating characteristic (ROC) curves for IL-27 and PCT individually in addition to a combination strategy using a decision tree generated by classification and regression tree (CART) methodology. Secondary analysis focusing on subjects with documented bloodstream infections was performed.
The overall infection rate was 27 %. ROC curves for the primary analysis yielded areas under the curve (AUCs) of 0.64 (0.59 to 0.68) for IL-27 and 0.61 (0.56 to 0.65) for PCT. Secondary analysis defining infected status exclusively through positive blood cultures yielded AUCs of 0.75 (0.68 to 0.81) for IL-27 and 0.64 (0.57 to 0.71) for PCT, with a specificity of 95 % (92 % to 97 %) for the prior established IL-27 cut-point value of at least 5.0 ng/ml. Similar AUCs were found for the subset of immunocompromised patients. In a CART-derived analysis taking immunocompromised status into consideration, a combination of IL-27 and PCT yielded an AUC of 0.81 (0.75 to 0.86), statistically improved from either IL-27 or PCT alone.
Despite having a modest predictive value for infection independent of source, IL-27 may serve as a useful biomarker in estimating risk of bacterial infection among critically ill pediatric patients with bloodstream infections. In particular, among immunocompromised subjects, this diagnostic biomarker may be helpful either alone or using a combination strategy with other available biomarkers. |
doi_str_mv | 10.1186/s13054-015-1095-2 |
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A single-center (n = 702) prospective study was performed comparing both IL-27 and PCT levels between bacterially infected and uninfected cohorts in the pediatric intensive care unit. Infected status was determined by a chart review by an intensivist blinded to biomarker results. Formal performance comparisons included calculations of receiver operating characteristic (ROC) curves for IL-27 and PCT individually in addition to a combination strategy using a decision tree generated by classification and regression tree (CART) methodology. Secondary analysis focusing on subjects with documented bloodstream infections was performed.
The overall infection rate was 27 %. ROC curves for the primary analysis yielded areas under the curve (AUCs) of 0.64 (0.59 to 0.68) for IL-27 and 0.61 (0.56 to 0.65) for PCT. Secondary analysis defining infected status exclusively through positive blood cultures yielded AUCs of 0.75 (0.68 to 0.81) for IL-27 and 0.64 (0.57 to 0.71) for PCT, with a specificity of 95 % (92 % to 97 %) for the prior established IL-27 cut-point value of at least 5.0 ng/ml. Similar AUCs were found for the subset of immunocompromised patients. In a CART-derived analysis taking immunocompromised status into consideration, a combination of IL-27 and PCT yielded an AUC of 0.81 (0.75 to 0.86), statistically improved from either IL-27 or PCT alone.
Despite having a modest predictive value for infection independent of source, IL-27 may serve as a useful biomarker in estimating risk of bacterial infection among critically ill pediatric patients with bloodstream infections. In particular, among immunocompromised subjects, this diagnostic biomarker may be helpful either alone or using a combination strategy with other available biomarkers.</description><identifier>ISSN: 1364-8535</identifier><identifier>EISSN: 1466-609X</identifier><identifier>EISSN: 1364-8535</identifier><identifier>EISSN: 1366-609X</identifier><identifier>DOI: 10.1186/s13054-015-1095-2</identifier><identifier>PMID: 26514771</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Antibiotics ; Bacterial infections ; Bacterial Infections - blood ; Bacterial Infections - diagnosis ; Biomarkers ; Biomarkers - blood ; Calcitonin - blood ; Calcitonin Gene-Related Peptide ; Child ; Child, Preschool ; Classification ; Critical care ; Critical Illness ; Critically ill ; Cytokines ; Demographic aspects ; Diagnosis ; Epidemiology ; Female ; Genetic aspects ; Health aspects ; Humans ; Infant ; Infections ; Intensive care ; Interleukins ; Interleukins - blood ; Male ; Medical prognosis ; Mortality ; Patients ; Pediatrics ; Physiological aspects ; Prospective Studies ; Protein Precursors - blood ; ROC Curve ; Sensitivity and Specificity ; Sepsis ; Sepsis - blood ; Sepsis - diagnosis ; Trends</subject><ispartof>Critical care (London, England), 2015-10, Vol.19 (378), p.378-378, Article 378</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Hanna et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-6d625ab87502d6d1c60f384c6598e77814fafade803347e673428eafa9386f2c3</citedby><cites>FETCH-LOGICAL-c494t-6d625ab87502d6d1c60f384c6598e77814fafade803347e673428eafa9386f2c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627377/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627377/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26514771$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hanna, William J</creatorcontrib><creatorcontrib>Berrens, Zachary</creatorcontrib><creatorcontrib>Langner, Travis</creatorcontrib><creatorcontrib>Lahni, Patrick</creatorcontrib><creatorcontrib>Wong, Hector R</creatorcontrib><title>Interleukin-27: a novel biomarker in predicting bacterial infection among the critically ill</title><title>Critical care (London, England)</title><addtitle>Crit Care</addtitle><description>A continued need exists for effective diagnostic biomarkers in bacterial sepsis among critically ill patients, despite increasing use of available biomarkers such as procalcitonin (PCT). Interleukin-27 (IL-27) has shown early promise in a recent preliminary study, exhibiting high specificity and positive predictive values for bacterial infection in critically ill children. This validation study was performed to assess the value of IL-27 in predicting bacterial infection among patients admitted to the pediatric intensive care unit and to compare its performance with that of PCT.
A single-center (n = 702) prospective study was performed comparing both IL-27 and PCT levels between bacterially infected and uninfected cohorts in the pediatric intensive care unit. Infected status was determined by a chart review by an intensivist blinded to biomarker results. Formal performance comparisons included calculations of receiver operating characteristic (ROC) curves for IL-27 and PCT individually in addition to a combination strategy using a decision tree generated by classification and regression tree (CART) methodology. Secondary analysis focusing on subjects with documented bloodstream infections was performed.
The overall infection rate was 27 %. ROC curves for the primary analysis yielded areas under the curve (AUCs) of 0.64 (0.59 to 0.68) for IL-27 and 0.61 (0.56 to 0.65) for PCT. Secondary analysis defining infected status exclusively through positive blood cultures yielded AUCs of 0.75 (0.68 to 0.81) for IL-27 and 0.64 (0.57 to 0.71) for PCT, with a specificity of 95 % (92 % to 97 %) for the prior established IL-27 cut-point value of at least 5.0 ng/ml. Similar AUCs were found for the subset of immunocompromised patients. In a CART-derived analysis taking immunocompromised status into consideration, a combination of IL-27 and PCT yielded an AUC of 0.81 (0.75 to 0.86), statistically improved from either IL-27 or PCT alone.
Despite having a modest predictive value for infection independent of source, IL-27 may serve as a useful biomarker in estimating risk of bacterial infection among critically ill pediatric patients with bloodstream infections. In particular, among immunocompromised subjects, this diagnostic biomarker may be helpful either alone or using a combination strategy with other available biomarkers.</description><subject>Adolescent</subject><subject>Antibiotics</subject><subject>Bacterial infections</subject><subject>Bacterial Infections - blood</subject><subject>Bacterial Infections - diagnosis</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Calcitonin - blood</subject><subject>Calcitonin Gene-Related Peptide</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Classification</subject><subject>Critical care</subject><subject>Critical Illness</subject><subject>Critically ill</subject><subject>Cytokines</subject><subject>Demographic aspects</subject><subject>Diagnosis</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Infant</subject><subject>Infections</subject><subject>Intensive care</subject><subject>Interleukins</subject><subject>Interleukins - blood</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Physiological aspects</subject><subject>Prospective Studies</subject><subject>Protein Precursors - blood</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Sepsis</subject><subject>Sepsis - blood</subject><subject>Sepsis - diagnosis</subject><subject>Trends</subject><issn>1364-8535</issn><issn>1466-609X</issn><issn>1364-8535</issn><issn>1366-609X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptUk1rFTEUDaLYWv0BbmTAjZvUfCfjQihFbaHgRsGFEPIyd17TZpJnMlPov2-GV0srksUN555zLvdyEHpLyTGlRn2slBMpMKESU9JLzJ6hQyqUwor0v563P1cCG8nlAXpV6xUhVBvFX6IDpiQVWtND9Ps8zVAiLNchYaY_da5L-QZitwl5cuUaShdStyswBD-HtO02zjdBcLHhIzQsp85NuXXmS-h8CXPwLsbbLsT4Gr0YXazw5r4eoZ9fv_w4PcMX37-dn55cYC96MWM1KCbdxmhJ2KAG6hUZuRFeyd6A1oaK0Y1uAEM4FxqU5oIZaFDPjRqZ50fo8953t2wmGDykubhodyW0FW5tdsE-7aRwabf5xgrFNNe6GXy4Nyj5zwJ1tlOoHmJ0CfJSLdXMtLE9Wanv_6Fe5aWktp6lvaRSGcYesbYugm2Xym2uX03tiRBCcsU1a6zj_7DaG2AKPicYQ8OfCOhe4EuutcD4sCMldo2E3UfCtkjYNRJ21bx7fJwHxd8M8DtubrCk</recordid><startdate>20151030</startdate><enddate>20151030</enddate><creator>Hanna, William J</creator><creator>Berrens, Zachary</creator><creator>Langner, Travis</creator><creator>Lahni, Patrick</creator><creator>Wong, Hector R</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20151030</creationdate><title>Interleukin-27: a novel biomarker in predicting bacterial infection among the critically ill</title><author>Hanna, William J ; Berrens, Zachary ; Langner, Travis ; Lahni, Patrick ; Wong, Hector R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-6d625ab87502d6d1c60f384c6598e77814fafade803347e673428eafa9386f2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Antibiotics</topic><topic>Bacterial infections</topic><topic>Bacterial Infections - blood</topic><topic>Bacterial Infections - diagnosis</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Calcitonin - blood</topic><topic>Calcitonin Gene-Related Peptide</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Classification</topic><topic>Critical care</topic><topic>Critical Illness</topic><topic>Critically ill</topic><topic>Cytokines</topic><topic>Demographic aspects</topic><topic>Diagnosis</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Genetic aspects</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Infant</topic><topic>Infections</topic><topic>Intensive care</topic><topic>Interleukins</topic><topic>Interleukins - blood</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Physiological aspects</topic><topic>Prospective Studies</topic><topic>Protein Precursors - blood</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Sepsis</topic><topic>Sepsis - blood</topic><topic>Sepsis - diagnosis</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hanna, William J</creatorcontrib><creatorcontrib>Berrens, Zachary</creatorcontrib><creatorcontrib>Langner, Travis</creatorcontrib><creatorcontrib>Lahni, Patrick</creatorcontrib><creatorcontrib>Wong, Hector R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Critical care (London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hanna, William J</au><au>Berrens, Zachary</au><au>Langner, Travis</au><au>Lahni, Patrick</au><au>Wong, Hector R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interleukin-27: a novel biomarker in predicting bacterial infection among the critically ill</atitle><jtitle>Critical care (London, England)</jtitle><addtitle>Crit Care</addtitle><date>2015-10-30</date><risdate>2015</risdate><volume>19</volume><issue>378</issue><spage>378</spage><epage>378</epage><pages>378-378</pages><artnum>378</artnum><issn>1364-8535</issn><eissn>1466-609X</eissn><eissn>1364-8535</eissn><eissn>1366-609X</eissn><abstract>A continued need exists for effective diagnostic biomarkers in bacterial sepsis among critically ill patients, despite increasing use of available biomarkers such as procalcitonin (PCT). Interleukin-27 (IL-27) has shown early promise in a recent preliminary study, exhibiting high specificity and positive predictive values for bacterial infection in critically ill children. This validation study was performed to assess the value of IL-27 in predicting bacterial infection among patients admitted to the pediatric intensive care unit and to compare its performance with that of PCT.
A single-center (n = 702) prospective study was performed comparing both IL-27 and PCT levels between bacterially infected and uninfected cohorts in the pediatric intensive care unit. Infected status was determined by a chart review by an intensivist blinded to biomarker results. Formal performance comparisons included calculations of receiver operating characteristic (ROC) curves for IL-27 and PCT individually in addition to a combination strategy using a decision tree generated by classification and regression tree (CART) methodology. Secondary analysis focusing on subjects with documented bloodstream infections was performed.
The overall infection rate was 27 %. ROC curves for the primary analysis yielded areas under the curve (AUCs) of 0.64 (0.59 to 0.68) for IL-27 and 0.61 (0.56 to 0.65) for PCT. Secondary analysis defining infected status exclusively through positive blood cultures yielded AUCs of 0.75 (0.68 to 0.81) for IL-27 and 0.64 (0.57 to 0.71) for PCT, with a specificity of 95 % (92 % to 97 %) for the prior established IL-27 cut-point value of at least 5.0 ng/ml. Similar AUCs were found for the subset of immunocompromised patients. In a CART-derived analysis taking immunocompromised status into consideration, a combination of IL-27 and PCT yielded an AUC of 0.81 (0.75 to 0.86), statistically improved from either IL-27 or PCT alone.
Despite having a modest predictive value for infection independent of source, IL-27 may serve as a useful biomarker in estimating risk of bacterial infection among critically ill pediatric patients with bloodstream infections. In particular, among immunocompromised subjects, this diagnostic biomarker may be helpful either alone or using a combination strategy with other available biomarkers.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26514771</pmid><doi>10.1186/s13054-015-1095-2</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Antibiotics Bacterial infections Bacterial Infections - blood Bacterial Infections - diagnosis Biomarkers Biomarkers - blood Calcitonin - blood Calcitonin Gene-Related Peptide Child Child, Preschool Classification Critical care Critical Illness Critically ill Cytokines Demographic aspects Diagnosis Epidemiology Female Genetic aspects Health aspects Humans Infant Infections Intensive care Interleukins Interleukins - blood Male Medical prognosis Mortality Patients Pediatrics Physiological aspects Prospective Studies Protein Precursors - blood ROC Curve Sensitivity and Specificity Sepsis Sepsis - blood Sepsis - diagnosis Trends |
title | Interleukin-27: a novel biomarker in predicting bacterial infection among the critically ill |
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