Prognosis Score System to Predict Survival for COVID-19 Cases: a Korean Nationwide Cohort Study

Bibliographic Details
Title: Prognosis Score System to Predict Survival for COVID-19 Cases: a Korean Nationwide Cohort Study
Authors: Cho, Sung-Yeon, Park, Sung-Soo, Song, Min-Kyu, Bae, Young Yi, Lee, Dong-Gun, Kim, Dong-Wook
Source: Journal of Medical Internet Research, Vol 23, Iss 2, p e26257 (2021)
Publisher Information: JMIR Publications, 2021.
Publication Year: 2021
Collection: LCC:Computer applications to medicine. Medical informatics
LCC:Public aspects of medicine
Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
More Details: BackgroundAs the COVID-19 pandemic continues, an initial risk-adapted allocation is crucial for managing medical resources and providing intensive care. ObjectiveIn this study, we aimed to identify factors that predict the overall survival rate for COVID-19 cases and develop a COVID-19 prognosis score (COPS) system based on these factors. In addition, disease severity and the length of hospital stay for patients with COVID-19 were analyzed. MethodsWe retrospectively analyzed a nationwide cohort of laboratory-confirmed COVID-19 cases between January and April 2020 in Korea. The cohort was split randomly into a development cohort and a validation cohort with a 2:1 ratio. In the development cohort (n=3729), we tried to identify factors associated with overall survival and develop a scoring system to predict the overall survival rate by using parameters identified by the Cox proportional hazard regression model with bootstrapping methods. In the validation cohort (n=1865), we evaluated the prediction accuracy using the area under the receiver operating characteristic curve. The score of each variable in the COPS system was rounded off following the log-scaled conversion of the adjusted hazard ratio. ResultsAmong the 5594 patients included in this analysis, 234 (4.2%) died after receiving a COVID-19 diagnosis. In the development cohort, six parameters were significantly related to poor overall survival: older age, dementia, chronic renal failure, dyspnea, mental disturbance, and absolute lymphocyte count
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1438-8871
Relation: https://www.jmir.org/2021/2/e26257; https://doaj.org/toc/1438-8871
DOI: 10.2196/26257
Access URL: https://doaj.org/article/d9bea3f645e84df5a02419fe6ff063f7
Accession Number: edsdoj.9bea3f645e84df5a02419fe6ff063f7
Database: Directory of Open Access Journals
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More Details
ISSN:14388871
DOI:10.2196/26257
Published in:Journal of Medical Internet Research
Language:English