ArticleJournal of medical Internet research2021
Prognosis Score System to Predict Survival for COVID-19 Cases: a Korean Nationwide Cohort Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 20 citations in OpenAlex.
- Use of radiograph scoring systems to assess pulmonary disease severity in patients with COVID-19 pneumonia.World journal of critical care medicine · 2026Article
- Prediction model for 6-month mortality in incident older hemodialysis patients in South Korea.Kidney research and clinical practice · 2025Article
- The Impact of Drug Delivery Systems on Pharmacokinetics and Drug-Drug Interactions in Neuropsychiatric Treatment.Cureus · 2025Review
- Cytokine Levels and Severity of Illness Scoring Systems to Predict Mortality in COVID-19 Infection.Healthcare (Basel, Switzerland) · 2023Article
- A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development.JMIR formative research · 2022Article
- External validation of the 4C Mortality Score for hospitalised patients with COVID-19 in the RECOVER network.BMJ open · 2022Article
- Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger.Conflict and health · 2021Article
- External validation of prognostic scores for COVID-19: a multicenter cohort study of patients hospitalized in Greater Paris University Hospitals.Intensive care medicine · 2021Article
- Development and Validation of Clinical Prediction Models to Estimate the Probability of Death in Hospitalized Patients with COVID-19: Insights from a Nationwide Database.Journal of medical virology · 2021Article
- Predictability of COVID-19 Hospitalizations, Intensive Care Unit Admissions, and Respiratory Assistance in Portugal: Longitudinal Cohort Study.Journal of medical Internet research · 2021Article
- Prognosis Score System to Predict Survival for COVID-19 Cases: a Korean Nationwide Cohort Study.Journal of medical Internet research · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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 <1000/mm
conclusionsThe newly developed predictive COPS system may assist in making risk-adapted decisions for the allocation of medical resources, including intensive care, during the COVID-19 pandemic.
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