Predictors of hospital mortality among patients with COVID-19 in Tehran, Iran.

ABSTRACT:

Objective

The coronavirus disease 2019 (COVID-19) has become a global pandemic. Timely and effective predictors of survival and death rates are crucial for improving the management of COVID-19 patients. In this study, we evaluated the predictors of mortality based on the demographics, comorbidities, clinical characteristics, laboratory findings, and vital signs of 500 patients with COVID-19 admitted at Imam Khomeini Hospital Complex, the biggest hospital in Tehran, Iran.

Methods

Five hundred hospitalized laboratory-confirmed COVID-19 patients were included in this study. Subsequently, electronic medical records, including patient demographics, clinical manifestation, comorbidities, and laboratory test results were collected and analyzed. They were divided into two groups: ex

SUBMITTER: Esfahanian F 

PROVIDER: S-EPMC8524695 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature