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Mortality Rate of Patients With COVID-19 Based on Underlying Health Conditions
1Division of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Republic of Korea.
Insights
Patients with underlying health conditions had a 4x higher mortality rate from coronavirus disease (COVID-19). Male sex, older age, and comorbidities significantly increased death risk, especially in older males with underlying diseases.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- Coronavirus disease (COVID-19) poses a significant global health threat.
- Understanding mortality risk factors is crucial for effective patient management and resource allocation.
Purpose of the Study:
- To evaluate COVID-19 mortality rates based on sex, age, and underlying health conditions.
- To determine if underlying diseases offer prognostic value for COVID-19-related death.
Main Methods:
- Conditional probability was used to assess mortality rates.
- Multivariable logistic regression analysis estimated adjusted odds ratios (ORs).
Main Results:
- Patients with underlying health conditions had a 12% mortality rate, 4 times higher than those without.
- Mortality rates for women and men with underlying conditions were 5.5 and 3.4 times higher, respectively.
- Male sex (OR: 1.83), age ≥ 41 years (ORs > 2.70), and underlying conditions (OR: 2.20) were significant risk factors for death.
Conclusions:
- Older patients with underlying diseases and male patients with underlying diseases face a significantly higher probability of death.
- Targeted attention and interventions are warranted for these high-risk populations.
- Underlying health conditions are a critical prognostic indicator for COVID-19 mortality.
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.
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