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Mortality Rate of Patients With COVID-19 Based on Underlying Health Conditions

Published online by Cambridge University Press:  03 May 2021

Won-Young Choi
Won-Young Choi*
Affiliation:
Division of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Republic of Korea
*
Corresponding author: Won-Young Choi, Email: won5475@hanyang.ac.kr.
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Abstract

Objective:

The aim of this study was to evaluate the mortality rates of 566,602 patients with coronavirus disease (COVID-19) based on sex, age, and the presence or absence of underlying diseases and determine whether the underlying disease provides prognostic information specifically related to death.

Methods:

The mortality rate was evaluated using conditional probability to identify the significant factors, and adjusted odds ratios (ORs) using a multivariable logistic regression analysis were estimated.

Results:

The mortality rate of patients with underlying health conditions was 12%, which was 4 times higher than that of patients without underlying health conditions. Furthermore, the mortality rates of women and men with underlying health conditions were 5.5 and 3.4 times higher than the mortality rates of patients without underlying health conditions, respectively. In a multivariable logistic regression analysis including sex, age, and underlying health conditions, male sex (OR: 1.83), age ≥ 41 y (ORs > 2.70), and underlying health conditions (OR: 2.20) were confirmed as risk factors for death.

Conclusions:

More attention should be paid to older patients with underlying diseases and male patients with underlying diseases as the probability of death in this population was significantly higher.

Keywords

COVID-19mortality rateunderlying diseasehealth condition
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 16 , Issue 6 , December 2022 , pp. 2480 - 2485
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Society for Disaster Medicine and Public Health, Inc

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