A risk scoring system to predict progression to severe pneumonia in patients with Covid-19
- Affiliated Author(s)
- 이지연; 황종민; 김진영; 현미리; 김현아; 조치흠
- Alternative Author(s)
- Lee, Ji Yeon; Hwang, Jong Min; Kim, Jin Young; Hyun, Mi Ri; Kim, Hyun Ah; Cho, Chi Heum
- Journal Title
- Sci Rep
- ISSN
- 2045-2322
- Issued Date
- 2022
- Abstract
- Rapid outbreak of coronavirus disease 2019 (Covid-19) raised major concern regarding medical resource constraints. We constructed and validated a scoring system for early prediction of progression to severe pneumonia in patients with Covid-19. A total of 561 patients from a Covid-19 designated hospital in Daegu, South Korea were randomly divided into two cohorts: development cohort (N = 421) and validation cohort (N = 140). We used multivariate logistic regression to identify four independent risk predictors for progression to severe pneumonia and constructed a risk scoring system by giving each factor a number of scores corresponding to its regression coefficient. We calculated risk scores for each patient and defined two groups: low risk (0 to 8 points) and high risk (9 to 20 points). In the development cohort, the sensitivity and specificity were 83.8% and 78.9%. In the validation cohort, the sensitivity and specificity were 70.8% and 79.3%, respectively. The C-statistics was 0.884 (95% CI 0.833–0.934) in the development cohort and 0.828 (95% CI 0.733–0.923) in the validation cohort. This risk scoring system is useful to identify high-risk group for progression to severe pneumonia in Covid-19 patients and can prevent unnecessary overuse of medical care in limited-resource settings.
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