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Association between COVID-19 Mortality and Underlying Disease; Tehran, Iran
Alireza Atarodi1, Laleh R Kalankesh2, Leila Ghaderi Nansa3
1Department of Knowledge and Information Science, Paramedical College and Social Development & Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Insights
This study found that underlying conditions like cancer and respiratory issues significantly increase COVID-19 mortality risk. Patients with cancer faced 4.72 times higher mortality, highlighting the impact of comorbidities on coronavirus outcomes.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- Coronavirus disease (COVID-19) presents a significant global health challenge.
- Understanding the impact of pre-existing conditions on COVID-19 outcomes is crucial for patient management and public health strategies.
Purpose of the Study:
- To investigate the association between COVID-19 mortality and various underlying diseases in Tehran.
- To identify specific comorbidities that increase the risk of severe COVID-19 outcomes.
Main Methods:
- A retrospective epidemiological study was conducted in Tehran, Iran, from January 2019 to May 2021.
- Data from hospitals included International Classification of Diseases (ICD-11) codes for underlying conditions and patient demographics.
- Logistic regression analysis was used to determine the association between COVID-19 mortality and underlying diseases.
Main Results:
- Cancer and incurable diseases showed the lowest recovery rates, while pulmonary disease had the longest recovery time.
- Cancer and pulmonary disease were associated with 10.41 and 7.3 hospitalization days, respectively.
- Mortality risk was significantly higher for patients with cancer (4.72 times), respiratory issues (2.75 times), cardiovascular problems (4.081 times), and diabetes (3.162 times) as underlying conditions.
Conclusions:
- Specific underlying health conditions substantially increase the risk of COVID-19 mortality.
- Comorbidities like cancer, cardiovascular disease, respiratory illness, and diabetes are critical factors influencing COVID-19 severity and outcomes.
- These findings underscore the importance of managing pre-existing conditions to mitigate COVID-19 mortality.
Introduction:
Coronavirus disease has emerged as one of the major health challenges in the 21st century. This study aimed to investigate the association between COVID-19 mortality and underlying disease in Tehran.
Methods:
The retrospective, epidemiological study was conducted from January 1, 2019, to May 31, 2021, in hospitals in Tehran, Iran based on the International Classification of Diseases (ICD-11). Data concerning coronary cases with underlying disease (8018) and related demographic and clinical characteristics are collected by hospitals. Additionally, logistic regression was examined to determine the association between COVID-19 mortality and underlying disease.
Results:
The result shows that incurable diseases (47.3%) and cancer (67.7%) had the lowest while; pulmonary disease showed the highest recovery day (80.7%) between various underlying conditions. In addition, cancer and pulmonary disease show 10.41 and 7.3 hospitalization days, respectively. The logistic regression analysis revealed that mortality in cases with cancer as an underlying disease is 4.72 times higher than in cases without cancer (95% CI: 4.08-5.46). Moreover, the adjusted regression analysis showed that the mortality in multiple underlying conditions such as cancer, respiratory issues, cardiovascular problems, and diabetes are 5.48, 2.75, 4.081, and 3.162 times higher, respectively (P<0.05).
Conclusion:
The findings of this study provide valuable insights into how specific underlying health conditions can increase the risk of COVID-19 mortality, hospitalization, and recovery time.
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