C-reactive protein clustering to clarify persistent inflammation, immunosuppression and catabolism syndrome

• Published in: Intensive care medicine 2020-03, Vol.46 (3), p.437-443
• Main Authors: Nakamura, Kensuke, Ogura, Kentaro, Nakano, Hidehiko, Naraba, Hiromu, Takahashi, Yuji, Sonoo, Tomohiro, Hashimoto, Hideki, Morimura, Naoto
• Format: Article
• Language: English
• 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
• ISSN: 0342-4642; 1432-1238
• DOI: 10.1007/s00134-019-05851-3

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.