Development and validation of prognostic scoring system for COVID-19 severity in South India.

ABSTRACT:

Background

Development of a prediction model using baseline characteristics of COVID-19 patients at the time of diagnosis will aid us in early identification of the high-risk groups and devise pertinent strategies accordingly. Hence, we did this study to develop a prognostic-scoring system for predicting the COVID-19 severity in South India.

Methods

We undertook this retrospective cohort study among COVID-19 patients reporting to Hindu Mission Hospital, India. Multivariable logistic regression using the LASSO procedure was used to select variables for the model building, and the nomogram scoring system was developed with the final selected model. Model discrimination, calibration, and decision curve analysis (DCA) was performed.

Results

In total, 35.1% of the patients

SUBMITTER: Shankar V 

PROVIDER: S-EPMC8736307 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature