Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study

Background: We analyzed data from COVID-19 patients in Japan to assess the utility of the 4C mortality score as compared with conventional scorings. Methods: In this multicenter study, COVID-19 patients hospitalized between March 2020 and June 2021, over 16 years old, were recruited. The superiority...

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Main Authors: Kazuki Ocho, Hideharu Hagiya, Kou Hasegawa, Kouji Fujita, Fumio Otsuka
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/11/3/821
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author Kazuki Ocho
Hideharu Hagiya
Kou Hasegawa
Kouji Fujita
Fumio Otsuka
author_facet Kazuki Ocho
Hideharu Hagiya
Kou Hasegawa
Kouji Fujita
Fumio Otsuka
author_sort Kazuki Ocho
collection DOAJ
description Background: We analyzed data from COVID-19 patients in Japan to assess the utility of the 4C mortality score as compared with conventional scorings. Methods: In this multicenter study, COVID-19 patients hospitalized between March 2020 and June 2021, over 16 years old, were recruited. The superiority for correctly predicting mortality and severity by applying the receiver operating characteristic (ROC) curve was compared. A Cox regression model was used to compare the length of hospitalization for each risk group of 4C mortality score. Results: Among 206 patients, 21 patients died. The area under the curve (AUC) (95% confidential interval (CI)) of the ROC curve for mortality and severity, respectively, of 4C mortality scores (0.84 (95% CI 0.76–0.92) and 0.85 (95% CI 0.80–0.91)) were higher than those of qSOFA (0.66 (95% CI 0.53–0.78) and 0.67 (95% CI 0.59–0.75)), SOFA (0.70 (95% CI 0.55–0.84) and 0.81 (95% CI 0.74–0.89)), A-DROP (0.78 (95% CI 0.69–0.88) and 0.81 (95% CI 0.74–0.88)), and CURB-65 (0.82 (95% CI 0.74–0.90) and 0.82 (95% CI 0.76–0.88)). For length of hospitalization among survivors, the intermediate- and high- or very high-risk groups had significantly lower hazard ratios, i.e., 0.48 (95% CI 0.30–0.76)) and 0.23 (95% CI 0.13–0.43) for discharge. Conclusions: The 4C mortality score is better for estimating mortality and severity in COVID-19 Japanese patients than other scoring systems.
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spelling doaj.art-c8ec6f47bd7149419acc61e38475bb402023-11-23T16:54:30ZengMDPI AGJournal of Clinical Medicine2077-03832022-02-0111382110.3390/jcm11030821Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter StudyKazuki Ocho0Hideharu Hagiya1Kou Hasegawa2Kouji Fujita3Fumio Otsuka4Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, JapanDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, JapanDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, JapanDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, JapanDepartment of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, JapanBackground: We analyzed data from COVID-19 patients in Japan to assess the utility of the 4C mortality score as compared with conventional scorings. Methods: In this multicenter study, COVID-19 patients hospitalized between March 2020 and June 2021, over 16 years old, were recruited. The superiority for correctly predicting mortality and severity by applying the receiver operating characteristic (ROC) curve was compared. A Cox regression model was used to compare the length of hospitalization for each risk group of 4C mortality score. Results: Among 206 patients, 21 patients died. The area under the curve (AUC) (95% confidential interval (CI)) of the ROC curve for mortality and severity, respectively, of 4C mortality scores (0.84 (95% CI 0.76–0.92) and 0.85 (95% CI 0.80–0.91)) were higher than those of qSOFA (0.66 (95% CI 0.53–0.78) and 0.67 (95% CI 0.59–0.75)), SOFA (0.70 (95% CI 0.55–0.84) and 0.81 (95% CI 0.74–0.89)), A-DROP (0.78 (95% CI 0.69–0.88) and 0.81 (95% CI 0.74–0.88)), and CURB-65 (0.82 (95% CI 0.74–0.90) and 0.82 (95% CI 0.76–0.88)). For length of hospitalization among survivors, the intermediate- and high- or very high-risk groups had significantly lower hazard ratios, i.e., 0.48 (95% CI 0.30–0.76)) and 0.23 (95% CI 0.13–0.43) for discharge. Conclusions: The 4C mortality score is better for estimating mortality and severity in COVID-19 Japanese patients than other scoring systems.https://www.mdpi.com/2077-0383/11/3/821COVID-19clinical score4C mortality scoremortalityseveritylength of hospitalization
spellingShingle Kazuki Ocho
Hideharu Hagiya
Kou Hasegawa
Kouji Fujita
Fumio Otsuka
Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study
Journal of Clinical Medicine
COVID-19
clinical score
4C mortality score
mortality
severity
length of hospitalization
title Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study
title_full Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study
title_fullStr Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study
title_full_unstemmed Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study
title_short Clinical Utility of 4C Mortality Scores among Japanese COVID-19 Patients: A Multicenter Study
title_sort clinical utility of 4c mortality scores among japanese covid 19 patients a multicenter study
topic COVID-19
clinical score
4C mortality score
mortality
severity
length of hospitalization
url https://www.mdpi.com/2077-0383/11/3/821
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