Your browser doesn't support javascript.
Development of a scoring system for the prediction of in-hospital mortality among COVID-19 patients
Clinical epidemiology and global health ; 2021.
Article in English | EuropePMC | ID: covidwho-1451441
ABSTRACT
<h4>Background</h4> The aim of this study is to develop and validate a scoring system as a tool for predicting the in-hospital mortality in COVID-19 patients in early stage of disease. <h4>Methods</h4> This retrospective cohort study, conducted on 893 COVID-19 patients in Tehran from February 18 to July 20, 2020. Potential factors were chosen via stepwise selection and multivariable logistic regression model. Cross-validation method was employed to assess the predictive performance of the model as well as the scoring system such as discrimination, calibration, and validity indices. <h4>Results</h4> The COVID-19 patients’ median age was 63 yrs (54.98% male) and 233 (26.09%) patients expired during the study. The scoring system was developed based on 8 selected variables age ≥55 yrs (OR = 5.67, 95% CI 3.25–9.91), males (OR = 1.51, 95% CI 1.007–2.29), ICU need (OR = 16.32, 95% CI 10.13–26.28), pulse rate >90 (OR = 1.89, 95% CI 1.26–2.83), lymphocytes <17% (OR = 2.33, 95%CI 1.54–3.50), RBC ≤4, 10 6/L (OR = 2.10, 95% CI 1.35–3.26), LDH >700 U/L (OR = 1.68, 95%CI 1.13–2.51) and troponin I level >0.03 ng/mL (OR = 1.75, 95%CI 1.17–2.62). The AUC and the accuracy of scoring system after cross-validation were 79.4% and 79.89%, respectively. <h4>Conclusion</h4> This study showed that developed scoring system has a good performance and can use to help physicians for identifying high-risk patients in early stage of disease.
Search on Google
Collection: Databases of international organizations Database: EuropePMC Type of study: Prognostic study Language: English Journal: Clinical epidemiology and global health Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS

Search on Google
Collection: Databases of international organizations Database: EuropePMC Type of study: Prognostic study Language: English Journal: Clinical epidemiology and global health Year: 2021 Document Type: Article