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
Hauptverfasser: Nakamura, Kensuke, Ogura, Kentaro, Nakano, Hidehiko, Naraba, Hiromu, Takahashi, Yuji, Sonoo, Tomohiro, Hashimoto, Hideki, Morimura, Naoto
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container_end_page 443
container_issue 3
container_start_page 437
container_title Intensive care medicine
container_volume 46
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
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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 &amp; 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). 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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. 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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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