C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome
Purpose Among patients surviving treatment in intensive care units (ICU), some cases exist for which inflammation persisted with prolonged hospital stays, referred as persistent inflammatory, immunosuppressed, catabolic syndrome (PIICS). C reactive protein (CRP) is regarded as the most important mar...
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Veröffentlicht in: | Intensive care medicine 2020-03, Vol.46 (3), p.437-443 |
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creator | Nakamura, Kensuke Ogura, Kentaro Nakano, Hidehiko Naraba, Hiromu Takahashi, Yuji Sonoo, Tomohiro Hashimoto, Hideki Morimura, Naoto |
description | Purpose
Among patients surviving treatment in intensive care units (ICU), some cases exist for which inflammation persisted with prolonged hospital stays, referred as persistent inflammatory, immunosuppressed, catabolic syndrome (PIICS). C reactive protein (CRP) is regarded as the most important marker for PIICS. Nevertheless, the applicable cut-off of CRP for PIICS has never been described in the literature.
Methods
Data of patients admitted to the ICU/Emergency ward from May 2015 through June 2019 were analyzed retrospectively. Using K-means clustering, a 14-day CRP transition dataset was analyzed and categorized finally into 7 classes: 4 PIICS classes and 3 non-PIICS classes. Outcomes and the other PIICS characteristics were evaluated.
Results
From all 5513 admitted patients, this study examined data of 539 patients who had been admitted for more than 14 days, and for whom 14 day CRP transition analysis could be performed. By the CRP transitions of 7 categorized classes, the CRP cut-off for PIICS was regarded as 3.0 mg/dl on day 14. The Barthel Index at discharge, albumin, and total lymphocyte counts on day 14 were significantly lower in PIICS classes than those of non-PIICS classes. Creatinine kinase, antithrombin activity and thrombomodulin on admission were regarded as independent risk factors for PIICS.
Conclusions
Among patients with prolonged hospital stay, the PIICS population had elevated CRP, but lower Barthel Index, albumin, and total lymphocyte counts. The criterion of day 14 CRP for PIICS should be 3.0 mg/dl. |
doi_str_mv | 10.1007/s00134-019-05851-3 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2336256324</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A723927726</galeid><sourcerecordid>A723927726</sourcerecordid><originalsourceid>FETCH-LOGICAL-c546t-3fd8c75877a45c2c58e80711922c66ed7e3a15ee5550a99ca6d48c43586276f93</originalsourceid><addsrcrecordid>eNp9kkuLFDEUhYMoTs_oH3AhBW5cTMa8U7UcGl8w4EbXIZO61WSsJGWSEvrfT9oeHZRGsgg5fOdy781B6BUlV5QQ_a4QQrnAhA6YyF5SzJ-gDRWcYcp4_xRtCBcMCyXYGTov5a7hWkn6HJ1xOtBBCrpB37c4g3XV_4RuyamCj52b11Ih-7jramovm_207xbIxTc91s7HabYh2OpTvOx8CGtMZV2WDKU0qbNx7Jyt9jbNvoSu7OOYU4AX6Nlk5wIvH-4L9O3D-6_bT_jmy8fP2-sb7KRQFfNp7J2WvdZWSMec7KEnmtKBMacUjBq4pRJASknsMDirRtE7wWWvmFbTwC_Q22PdNtCPFUo1wRcH82wjpLUYxrliUnEmGvrmH_QurTm27hp1WBaRfHikdnYG06ZPNVt3KGquNeMD05qpRuET1A4iZDunCJNv8l_81Qm-nRGCdycN7GhwOZWSYTJL9sHmvaHEHBJhjokwLRHmVyIMb6bXDxOutwHGP5bfEWgAPwJlOXw55McV_KfsPXB3wBE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2376510539</pqid></control><display><type>article</type><title>C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Nakamura, Kensuke ; Ogura, Kentaro ; Nakano, Hidehiko ; Naraba, Hiromu ; Takahashi, Yuji ; Sonoo, Tomohiro ; Hashimoto, Hideki ; Morimura, Naoto</creator><creatorcontrib>Nakamura, Kensuke ; Ogura, Kentaro ; Nakano, Hidehiko ; Naraba, Hiromu ; Takahashi, Yuji ; Sonoo, Tomohiro ; Hashimoto, Hideki ; Morimura, Naoto</creatorcontrib><description>Purpose
Among patients surviving treatment in intensive care units (ICU), some cases exist for which inflammation persisted with prolonged hospital stays, referred as persistent inflammatory, immunosuppressed, catabolic syndrome (PIICS). C reactive protein (CRP) is regarded as the most important marker for PIICS. Nevertheless, the applicable cut-off of CRP for PIICS has never been described in the literature.
Methods
Data of patients admitted to the ICU/Emergency ward from May 2015 through June 2019 were analyzed retrospectively. Using K-means clustering, a 14-day CRP transition dataset was analyzed and categorized finally into 7 classes: 4 PIICS classes and 3 non-PIICS classes. Outcomes and the other PIICS characteristics were evaluated.
Results
From all 5513 admitted patients, this study examined data of 539 patients who had been admitted for more than 14 days, and for whom 14 day CRP transition analysis could be performed. By the CRP transitions of 7 categorized classes, the CRP cut-off for PIICS was regarded as 3.0 mg/dl on day 14. The Barthel Index at discharge, albumin, and total lymphocyte counts on day 14 were significantly lower in PIICS classes than those of non-PIICS classes. Creatinine kinase, antithrombin activity and thrombomodulin on admission were regarded as independent risk factors for PIICS.
Conclusions
Among patients with prolonged hospital stay, the PIICS population had elevated CRP, but lower Barthel Index, albumin, and total lymphocyte counts. The criterion of day 14 CRP for PIICS should be 3.0 mg/dl.</description><identifier>ISSN: 0342-4642</identifier><identifier>EISSN: 1432-1238</identifier><identifier>DOI: 10.1007/s00134-019-05851-3</identifier><identifier>PMID: 31919541</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Albumin ; Albumins ; Analysis ; Anesthesiology ; Antithrombin ; Biomarkers ; C-reactive protein ; C-Reactive Protein - analysis ; Care and treatment ; Catabolism ; Cluster Analysis ; Clustering ; Creatinine ; Critical Care Medicine ; Emergency Medicine ; Hospital patients ; Hospitals ; Humans ; Immunosuppression ; Immunotherapy ; Inflammation ; Intensive ; Intensive Care Units ; Kinases ; Lymphocytes ; Medical research ; Medicine ; Medicine & Public Health ; Medicine, Experimental ; Original ; Pain Medicine ; Patients ; Pediatrics ; Pneumology/Respiratory System ; Proteins ; Retrospective Studies ; Risk analysis ; Risk factors ; Thrombomodulin ; Vector quantization</subject><ispartof>Intensive care medicine, 2020-03, Vol.46 (3), p.437-443</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Intensive Care Medicine is a copyright of Springer, (2020). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c546t-3fd8c75877a45c2c58e80711922c66ed7e3a15ee5550a99ca6d48c43586276f93</citedby><cites>FETCH-LOGICAL-c546t-3fd8c75877a45c2c58e80711922c66ed7e3a15ee5550a99ca6d48c43586276f93</cites><orcidid>0000-0001-8481-0294</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00134-019-05851-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00134-019-05851-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31919541$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nakamura, Kensuke</creatorcontrib><creatorcontrib>Ogura, Kentaro</creatorcontrib><creatorcontrib>Nakano, Hidehiko</creatorcontrib><creatorcontrib>Naraba, Hiromu</creatorcontrib><creatorcontrib>Takahashi, Yuji</creatorcontrib><creatorcontrib>Sonoo, Tomohiro</creatorcontrib><creatorcontrib>Hashimoto, Hideki</creatorcontrib><creatorcontrib>Morimura, Naoto</creatorcontrib><title>C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome</title><title>Intensive care medicine</title><addtitle>Intensive Care Med</addtitle><addtitle>Intensive Care Med</addtitle><description>Purpose
Among patients surviving treatment in intensive care units (ICU), some cases exist for which inflammation persisted with prolonged hospital stays, referred as persistent inflammatory, immunosuppressed, catabolic syndrome (PIICS). C reactive protein (CRP) is regarded as the most important marker for PIICS. Nevertheless, the applicable cut-off of CRP for PIICS has never been described in the literature.
Methods
Data of patients admitted to the ICU/Emergency ward from May 2015 through June 2019 were analyzed retrospectively. Using K-means clustering, a 14-day CRP transition dataset was analyzed and categorized finally into 7 classes: 4 PIICS classes and 3 non-PIICS classes. Outcomes and the other PIICS characteristics were evaluated.
Results
From all 5513 admitted patients, this study examined data of 539 patients who had been admitted for more than 14 days, and for whom 14 day CRP transition analysis could be performed. By the CRP transitions of 7 categorized classes, the CRP cut-off for PIICS was regarded as 3.0 mg/dl on day 14. The Barthel Index at discharge, albumin, and total lymphocyte counts on day 14 were significantly lower in PIICS classes than those of non-PIICS classes. Creatinine kinase, antithrombin activity and thrombomodulin on admission were regarded as independent risk factors for PIICS.
Conclusions
Among patients with prolonged hospital stay, the PIICS population had elevated CRP, but lower Barthel Index, albumin, and total lymphocyte counts. The criterion of day 14 CRP for PIICS should be 3.0 mg/dl.</description><subject>Albumin</subject><subject>Albumins</subject><subject>Analysis</subject><subject>Anesthesiology</subject><subject>Antithrombin</subject><subject>Biomarkers</subject><subject>C-reactive protein</subject><subject>C-Reactive Protein - analysis</subject><subject>Care and treatment</subject><subject>Catabolism</subject><subject>Cluster Analysis</subject><subject>Clustering</subject><subject>Creatinine</subject><subject>Critical Care Medicine</subject><subject>Emergency Medicine</subject><subject>Hospital patients</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immunosuppression</subject><subject>Immunotherapy</subject><subject>Inflammation</subject><subject>Intensive</subject><subject>Intensive Care Units</subject><subject>Kinases</subject><subject>Lymphocytes</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Medicine, Experimental</subject><subject>Original</subject><subject>Pain Medicine</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Pneumology/Respiratory System</subject><subject>Proteins</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Thrombomodulin</subject><subject>Vector quantization</subject><issn>0342-4642</issn><issn>1432-1238</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kkuLFDEUhYMoTs_oH3AhBW5cTMa8U7UcGl8w4EbXIZO61WSsJGWSEvrfT9oeHZRGsgg5fOdy781B6BUlV5QQ_a4QQrnAhA6YyF5SzJ-gDRWcYcp4_xRtCBcMCyXYGTov5a7hWkn6HJ1xOtBBCrpB37c4g3XV_4RuyamCj52b11Ih-7jramovm_207xbIxTc91s7HabYh2OpTvOx8CGtMZV2WDKU0qbNx7Jyt9jbNvoSu7OOYU4AX6Nlk5wIvH-4L9O3D-6_bT_jmy8fP2-sb7KRQFfNp7J2WvdZWSMec7KEnmtKBMacUjBq4pRJASknsMDirRtE7wWWvmFbTwC_Q22PdNtCPFUo1wRcH82wjpLUYxrliUnEmGvrmH_QurTm27hp1WBaRfHikdnYG06ZPNVt3KGquNeMD05qpRuET1A4iZDunCJNv8l_81Qm-nRGCdycN7GhwOZWSYTJL9sHmvaHEHBJhjokwLRHmVyIMb6bXDxOutwHGP5bfEWgAPwJlOXw55McV_KfsPXB3wBE</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Nakamura, Kensuke</creator><creator>Ogura, Kentaro</creator><creator>Nakano, Hidehiko</creator><creator>Naraba, Hiromu</creator><creator>Takahashi, Yuji</creator><creator>Sonoo, Tomohiro</creator><creator>Hashimoto, Hideki</creator><creator>Morimura, Naoto</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8481-0294</orcidid></search><sort><creationdate>20200301</creationdate><title>C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome</title><author>Nakamura, Kensuke ; Ogura, Kentaro ; Nakano, Hidehiko ; Naraba, Hiromu ; Takahashi, Yuji ; Sonoo, Tomohiro ; Hashimoto, Hideki ; Morimura, Naoto</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c546t-3fd8c75877a45c2c58e80711922c66ed7e3a15ee5550a99ca6d48c43586276f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Albumin</topic><topic>Albumins</topic><topic>Analysis</topic><topic>Anesthesiology</topic><topic>Antithrombin</topic><topic>Biomarkers</topic><topic>C-reactive protein</topic><topic>C-Reactive Protein - analysis</topic><topic>Care and treatment</topic><topic>Catabolism</topic><topic>Cluster Analysis</topic><topic>Clustering</topic><topic>Creatinine</topic><topic>Critical Care Medicine</topic><topic>Emergency Medicine</topic><topic>Hospital patients</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Immunosuppression</topic><topic>Immunotherapy</topic><topic>Inflammation</topic><topic>Intensive</topic><topic>Intensive Care Units</topic><topic>Kinases</topic><topic>Lymphocytes</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Medicine, Experimental</topic><topic>Original</topic><topic>Pain Medicine</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Pneumology/Respiratory System</topic><topic>Proteins</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Thrombomodulin</topic><topic>Vector quantization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nakamura, Kensuke</creatorcontrib><creatorcontrib>Ogura, Kentaro</creatorcontrib><creatorcontrib>Nakano, Hidehiko</creatorcontrib><creatorcontrib>Naraba, Hiromu</creatorcontrib><creatorcontrib>Takahashi, Yuji</creatorcontrib><creatorcontrib>Sonoo, Tomohiro</creatorcontrib><creatorcontrib>Hashimoto, Hideki</creatorcontrib><creatorcontrib>Morimura, Naoto</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>Nursing & Allied Health Database</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>Technology Research Database</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</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</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>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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><jtitle>Intensive care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nakamura, Kensuke</au><au>Ogura, Kentaro</au><au>Nakano, Hidehiko</au><au>Naraba, Hiromu</au><au>Takahashi, Yuji</au><au>Sonoo, Tomohiro</au><au>Hashimoto, Hideki</au><au>Morimura, Naoto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome</atitle><jtitle>Intensive care medicine</jtitle><stitle>Intensive Care Med</stitle><addtitle>Intensive Care Med</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>46</volume><issue>3</issue><spage>437</spage><epage>443</epage><pages>437-443</pages><issn>0342-4642</issn><eissn>1432-1238</eissn><abstract>Purpose
Among patients surviving treatment in intensive care units (ICU), some cases exist for which inflammation persisted with prolonged hospital stays, referred as persistent inflammatory, immunosuppressed, catabolic syndrome (PIICS). C reactive protein (CRP) is regarded as the most important marker for PIICS. Nevertheless, the applicable cut-off of CRP for PIICS has never been described in the literature.
Methods
Data of patients admitted to the ICU/Emergency ward from May 2015 through June 2019 were analyzed retrospectively. Using K-means clustering, a 14-day CRP transition dataset was analyzed and categorized finally into 7 classes: 4 PIICS classes and 3 non-PIICS classes. Outcomes and the other PIICS characteristics were evaluated.
Results
From all 5513 admitted patients, this study examined data of 539 patients who had been admitted for more than 14 days, and for whom 14 day CRP transition analysis could be performed. By the CRP transitions of 7 categorized classes, the CRP cut-off for PIICS was regarded as 3.0 mg/dl on day 14. The Barthel Index at discharge, albumin, and total lymphocyte counts on day 14 were significantly lower in PIICS classes than those of non-PIICS classes. Creatinine kinase, antithrombin activity and thrombomodulin on admission were regarded as independent risk factors for PIICS.
Conclusions
Among patients with prolonged hospital stay, the PIICS population had elevated CRP, but lower Barthel Index, albumin, and total lymphocyte counts. The criterion of day 14 CRP for PIICS should be 3.0 mg/dl.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31919541</pmid><doi>10.1007/s00134-019-05851-3</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-8481-0294</orcidid></addata></record> |
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subjects | Albumin Albumins Analysis Anesthesiology Antithrombin Biomarkers C-reactive protein C-Reactive Protein - analysis Care and treatment Catabolism Cluster Analysis Clustering Creatinine Critical Care Medicine Emergency Medicine Hospital patients Hospitals Humans Immunosuppression Immunotherapy Inflammation Intensive Intensive Care Units Kinases Lymphocytes Medical research Medicine Medicine & Public Health Medicine, Experimental Original Pain Medicine Patients Pediatrics Pneumology/Respiratory System Proteins Retrospective Studies Risk analysis Risk factors Thrombomodulin Vector quantization |
title | C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome |
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