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Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia
The relationship between biomarkers and hospital-acquired pneumonia (HAP) is understudied, especially in severe cases admitted to the intensive care unit (ICU). Compared with community-acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in hospi...
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Published in: | BMC pulmonary medicine 2020-06, Vol.20 (1), p.166-166, Article 166 |
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description | The relationship between biomarkers and hospital-acquired pneumonia (HAP) is understudied, especially in severe cases admitted to the intensive care unit (ICU). Compared with community-acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in hospitals.
A total of 593 adult patients were enrolled in this retrospective cohort study to determine the neutrophil/lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level upon admission to the ICU. According to diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under each ROC curve (AUROC). Multivariable analysis was also applied to determine the most appropriate prognostic factors.
NLCR, PCT and CRP were markedly different between the non-infection and HAP groups. NLCR had a worse ability to discriminate severe infection (AUROC 0.626; 95% CI 0.581-0.671) than conventional markers such as CRP (0.685, 95% CI 0.641-0.730) and PCT (0.661, 95% CI 0.615-0.707). In addition, the AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, was significantly greater than that of any single biomarker.
NLCR was not comparable to conventional single biomarkers, such as CRP and PCT, for diagnosing or evaluating the severity of HAP. Composite biomarkers that have good accessibility, especially the combination of NLCR, CRP and WBC, could help with early diagnosis and severity evaluation. |
doi_str_mv | 10.1186/s12890-020-01207-6 |
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A total of 593 adult patients were enrolled in this retrospective cohort study to determine the neutrophil/lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level upon admission to the ICU. According to diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under each ROC curve (AUROC). Multivariable analysis was also applied to determine the most appropriate prognostic factors.
NLCR, PCT and CRP were markedly different between the non-infection and HAP groups. NLCR had a worse ability to discriminate severe infection (AUROC 0.626; 95% CI 0.581-0.671) than conventional markers such as CRP (0.685, 95% CI 0.641-0.730) and PCT (0.661, 95% CI 0.615-0.707). In addition, the AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, was significantly greater than that of any single biomarker.
NLCR was not comparable to conventional single biomarkers, such as CRP and PCT, for diagnosing or evaluating the severity of HAP. Composite biomarkers that have good accessibility, especially the combination of NLCR, CRP and WBC, could help with early diagnosis and severity evaluation.</description><identifier>ISSN: 1471-2466</identifier><identifier>EISSN: 1471-2466</identifier><identifier>DOI: 10.1186/s12890-020-01207-6</identifier><identifier>PMID: 32527243</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Abdomen ; Accuracy ; Aged ; Aged, 80 and over ; Bacterial infections ; Biomarkers ; Biomarkers - blood ; Brain cancer ; C-reactive protein ; C-Reactive Protein - analysis ; Calcitonin ; Cell number ; Comorbidity ; Composite biomarker ; Diagnosis ; Early Diagnosis ; Female ; Health aspects ; Healthcare-Associated Pneumonia - blood ; Healthcare-Associated Pneumonia - diagnosis ; Hospital-acquired pneumonia ; Hospitals ; Humans ; Infectious diseases ; Inflammation ; Intensive Care Units ; Laboratories ; Lactic acid ; Leukocyte Count ; Logistic Models ; Lymphocyte Count ; Lymphocytes ; Male ; Medical prognosis ; Middle Aged ; Mortality ; Neutrophil/lymphocyte count ratio ; Neutrophils ; Neutrophils - cytology ; Nosocomial infections ; Patients ; Physiological aspects ; Pneumonia ; Procalcitonin ; Procalcitonin - blood ; Proteins ; Pulmonology ; Retrospective Studies ; ROC Curve ; Sepsis ; Statistical analysis ; Studies ; Ventilators</subject><ispartof>BMC pulmonary medicine, 2020-06, Vol.20 (1), p.166-166, Article 166</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c563t-9c02a0606b517f69b64794bdf2c3426148ad3b537545c920d75d94217e506d3a3</citedby><cites>FETCH-LOGICAL-c563t-9c02a0606b517f69b64794bdf2c3426148ad3b537545c920d75d94217e506d3a3</cites><orcidid>0000-0002-2334-5779</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/PMC7289235/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2414899139?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32527243$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zheng, Nan</creatorcontrib><creatorcontrib>Zhu, Dongmei</creatorcontrib><creatorcontrib>Han, Yi</creatorcontrib><title>Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia</title><title>BMC pulmonary medicine</title><addtitle>BMC Pulm Med</addtitle><description>The relationship between biomarkers and hospital-acquired pneumonia (HAP) is understudied, especially in severe cases admitted to the intensive care unit (ICU). Compared with community-acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in hospitals.
A total of 593 adult patients were enrolled in this retrospective cohort study to determine the neutrophil/lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level upon admission to the ICU. According to diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under each ROC curve (AUROC). Multivariable analysis was also applied to determine the most appropriate prognostic factors.
NLCR, PCT and CRP were markedly different between the non-infection and HAP groups. NLCR had a worse ability to discriminate severe infection (AUROC 0.626; 95% CI 0.581-0.671) than conventional markers such as CRP (0.685, 95% CI 0.641-0.730) and PCT (0.661, 95% CI 0.615-0.707). In addition, the AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, was significantly greater than that of any single biomarker.
NLCR was not comparable to conventional single biomarkers, such as CRP and PCT, for diagnosing or evaluating the severity of HAP. Composite biomarkers that have good accessibility, especially the combination of NLCR, CRP and WBC, could help with early diagnosis and severity evaluation.</description><subject>Abdomen</subject><subject>Accuracy</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Bacterial infections</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Brain cancer</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - analysis</subject><subject>Calcitonin</subject><subject>Cell number</subject><subject>Comorbidity</subject><subject>Composite biomarker</subject><subject>Diagnosis</subject><subject>Early Diagnosis</subject><subject>Female</subject><subject>Health aspects</subject><subject>Healthcare-Associated Pneumonia - blood</subject><subject>Healthcare-Associated Pneumonia - diagnosis</subject><subject>Hospital-acquired pneumonia</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Inflammation</subject><subject>Intensive Care Units</subject><subject>Laboratories</subject><subject>Lactic acid</subject><subject>Leukocyte Count</subject><subject>Logistic Models</subject><subject>Lymphocyte Count</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Neutrophil/lymphocyte count ratio</subject><subject>Neutrophils</subject><subject>Neutrophils - cytology</subject><subject>Nosocomial infections</subject><subject>Patients</subject><subject>Physiological aspects</subject><subject>Pneumonia</subject><subject>Procalcitonin</subject><subject>Procalcitonin - blood</subject><subject>Proteins</subject><subject>Pulmonology</subject><subject>Retrospective Studies</subject><subject>ROC Curve</subject><subject>Sepsis</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Ventilators</subject><issn>1471-2466</issn><issn>1471-2466</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkstu1DAYhSMEoqXwAiyQJTZs0voWO94gVSMulSrBAtaWrzMeJXbqOCPNG_DYeDqldBCyYie_z_l-2TlN8xbBS4R6djUj3AvYQlwfhCFv2bPmHFGOWkwZe_7k_ax5Nc9bCBHvO_KyOSO4wxxTct78-p6TUYMJJcUQgYoWrNrslClh58CUU3G1PLnsUx6BdqW4DMpGxTo5EN1Scpo2Ybga9uO0SWZfHDBpiQVkVUIC1ex2aljqR1yDTZqnUNQAlLlbQnYWTBUx1tbqdfPCq2F2bx7Wi-bn508_Vl_b229fblbXt63pGCmtMBAryCDTHeKeCc0oF1Rbjw2hmCHaK0t0R3hHOyMwtLyzgmLEXQeZJYpcNDdHrk1qK6ccRpX3Mqkg7wspr6XKJZjBSe2pV53SHlaasFA7o0nnlWVcew1xZX08sqZFj84aF0tWwwn0dCeGjVynneT1x2HSVcCHB0BOd4ubixzDbNwwqOjSMktMERY9ra2q9P0_0m1acqxXdVDRXghExF_VWtUDhOhT7WsOUHnNMKdQCMqq6vI_qjqsG4NJ0flQ6ycGfDSYnOY5O_94RgTlIYvymEVZsyjvsygPpndPb-fR8id85Df8rtwA</recordid><startdate>20200611</startdate><enddate>20200611</enddate><creator>Zheng, Nan</creator><creator>Zhu, Dongmei</creator><creator>Han, Yi</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>7TO</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>H94</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><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2334-5779</orcidid></search><sort><creationdate>20200611</creationdate><title>Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia</title><author>Zheng, Nan ; Zhu, Dongmei ; Han, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c563t-9c02a0606b517f69b64794bdf2c3426148ad3b537545c920d75d94217e506d3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abdomen</topic><topic>Accuracy</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Bacterial infections</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Brain cancer</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - analysis</topic><topic>Calcitonin</topic><topic>Cell number</topic><topic>Comorbidity</topic><topic>Composite biomarker</topic><topic>Diagnosis</topic><topic>Early Diagnosis</topic><topic>Female</topic><topic>Health aspects</topic><topic>Healthcare-Associated Pneumonia - blood</topic><topic>Healthcare-Associated Pneumonia - diagnosis</topic><topic>Hospital-acquired pneumonia</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Inflammation</topic><topic>Intensive Care Units</topic><topic>Laboratories</topic><topic>Lactic acid</topic><topic>Leukocyte Count</topic><topic>Logistic Models</topic><topic>Lymphocyte Count</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Neutrophil/lymphocyte count ratio</topic><topic>Neutrophils</topic><topic>Neutrophils - cytology</topic><topic>Nosocomial infections</topic><topic>Patients</topic><topic>Physiological aspects</topic><topic>Pneumonia</topic><topic>Procalcitonin</topic><topic>Procalcitonin - blood</topic><topic>Proteins</topic><topic>Pulmonology</topic><topic>Retrospective Studies</topic><topic>ROC Curve</topic><topic>Sepsis</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Ventilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Nan</creatorcontrib><creatorcontrib>Zhu, Dongmei</creatorcontrib><creatorcontrib>Han, Yi</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>Oncogenes and Growth Factors Abstracts</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>BMC pulmonary medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Nan</au><au>Zhu, Dongmei</au><au>Han, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia</atitle><jtitle>BMC pulmonary medicine</jtitle><addtitle>BMC Pulm Med</addtitle><date>2020-06-11</date><risdate>2020</risdate><volume>20</volume><issue>1</issue><spage>166</spage><epage>166</epage><pages>166-166</pages><artnum>166</artnum><issn>1471-2466</issn><eissn>1471-2466</eissn><abstract>The relationship between biomarkers and hospital-acquired pneumonia (HAP) is understudied, especially in severe cases admitted to the intensive care unit (ICU). Compared with community-acquired pneumonia (CAP), HAP might have different traits regarding biomarkers due to the previous history in hospitals.
A total of 593 adult patients were enrolled in this retrospective cohort study to determine the neutrophil/lymphocyte count ratio (NLCR), procalcitonin (PCT), C-reactive protein (CRP) and serum lactate level upon admission to the ICU. According to diagnosis, patients were divided into two groups: non-infection and HAP. Discriminant analysis was performed based on better outcomes of diagnostic performance and severity evaluation. The diagnostic performance of each individual biomarker was assessed by constructing receiver operating characteristic (ROC) curves and calculating the area under each ROC curve (AUROC). Multivariable analysis was also applied to determine the most appropriate prognostic factors.
NLCR, PCT and CRP were markedly different between the non-infection and HAP groups. NLCR had a worse ability to discriminate severe infection (AUROC 0.626; 95% CI 0.581-0.671) than conventional markers such as CRP (0.685, 95% CI 0.641-0.730) and PCT (0.661, 95% CI 0.615-0.707). In addition, the AUROC of composite biomarkers, especially the combination of NLCR, CRP and WBC, was significantly greater than that of any single biomarker.
NLCR was not comparable to conventional single biomarkers, such as CRP and PCT, for diagnosing or evaluating the severity of HAP. Composite biomarkers that have good accessibility, especially the combination of NLCR, CRP and WBC, could help with early diagnosis and severity evaluation.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>32527243</pmid><doi>10.1186/s12890-020-01207-6</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2334-5779</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abdomen Accuracy Aged Aged, 80 and over Bacterial infections Biomarkers Biomarkers - blood Brain cancer C-reactive protein C-Reactive Protein - analysis Calcitonin Cell number Comorbidity Composite biomarker Diagnosis Early Diagnosis Female Health aspects Healthcare-Associated Pneumonia - blood Healthcare-Associated Pneumonia - diagnosis Hospital-acquired pneumonia Hospitals Humans Infectious diseases Inflammation Intensive Care Units Laboratories Lactic acid Leukocyte Count Logistic Models Lymphocyte Count Lymphocytes Male Medical prognosis Middle Aged Mortality Neutrophil/lymphocyte count ratio Neutrophils Neutrophils - cytology Nosocomial infections Patients Physiological aspects Pneumonia Procalcitonin Procalcitonin - blood Proteins Pulmonology Retrospective Studies ROC Curve Sepsis Statistical analysis Studies Ventilators |
title | Procalcitonin and C-reactive protein perform better than the neutrophil/lymphocyte count ratio in evaluating hospital acquired pneumonia |
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