Volume 15, Issue 5 (Sep & Oct- In Press 2025)
J Research Health 2025, 15(5): 11-11 |
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Ethics code: IR.GMU.REC.1402.126
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Alami A, Khajav A, Tavakolizadeh M, Sadeghinasab J, Mohammadzadeh F. Epidemiological Characteristics, Clinical Features and Mortality Predictors of Iranian COVID-19 Patients. J Research Health 2025; 15 (5) :11-11
URL: http://jrh.gmu.ac.ir/article-1-2634-en.html
URL: http://jrh.gmu.ac.ir/article-1-2634-en.html
Ali Alami1 
, Abdoljava Khajav2 , Mitra Tavakolizadeh3 , Javad Sadeghinasab4 , Fatemeh Mohammadzadeh5
, Abdoljava Khajav2 , Mitra Tavakolizadeh3 , Javad Sadeghinasab4 , Fatemeh Mohammadzadeh5
1- Department of Epidemiology & Biostatistics, School of Health, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
2- Department of Social Medicine, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran
3- Clinical Reasearch Development Unit, Bohlool Hospital, Gonabad University of Medical Sciences, Gonabad, Iran
4- Department of Pediatrics,School of Medicine, Social Determinants of Health Research Center, Bohlool Hospital, Gonabad University of Medical Sciences, Gonabad, Iran
5- Department of Epidemiology & Biostatistics, School of Health, Social Development & Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran ,fmhz.uni@gmail.com
2- Department of Social Medicine, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran
3- Clinical Reasearch Development Unit, Bohlool Hospital, Gonabad University of Medical Sciences, Gonabad, Iran
4- Department of Pediatrics,School of Medicine, Social Determinants of Health Research Center, Bohlool Hospital, Gonabad University of Medical Sciences, Gonabad, Iran
5- Department of Epidemiology & Biostatistics, School of Health, Social Development & Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran ,
Abstract: (28 Views)
Background: The coronavirus disease 2019 (COVID-19) created a global public health emergency, impacting countries worldwide, including Iran. This study investigated the epidemiological characteristics, clinical features, and mortality predictors of Iranian COVID-19 patients admitted to Bohlool Hospital in Gonabad, Iran.
Methods: This retrospective cross-sectional study involved 1596 COVID-19 patients admitted to Bohlool Hospital in Gonabad, Iran, from February 2020 to November 2021. Data on demographic factors, clinical features, and hospitalization outcomes were gathered from patients' medical records at the Medical Care Monitoring Center (MCMC) and analyzed using the logistic regression model.
Results: The median age of the patients was 61.0 years (Interquartile range: 32.0). Respiratory distress (57.1%), fever (37.3%)), and cough (32.5%) were the most common symptoms reported. Comorbidities, including hypertension (28.8), cardiovascular disease (15.4%), and diabetes (15.2%), were prevalent among the patients. The overall mortality rate was 12.8%. The findings of the logistic regression model indicated that patients aged 15-44 and 45-64 had lower mortality odds compared to older age groups (odds ratio [OR]=0.14 (95% confidence interval [CI]: 0.08, 0.27); OR= 0.32 (95% CI: 0.21, 0.50), respectively). The respiratory distress (OR=1.87, 95% CI: 1.29, 2.70), impaired consciousness (OR=9.27, 95% CI: 5.48, 15.67), cancer (OR=3.53, 95% CI: 1.40, 8.92), diabetes (OR=1.61, 95% CI: 1.04, 2.49), and chronic kidney disease (OR=5.00, 95% CI: 1.92, 13.02) were significantly associated with higher mortality rates.
Conclusion: COVID-19 patients with older age, respiratory distress, impaired consciousness, cancer, diabetes, or chronic kidney disease face significantly higher mortality rates, underscoring the need for increased attention and care for them to prevent serious outcomes.
Methods: This retrospective cross-sectional study involved 1596 COVID-19 patients admitted to Bohlool Hospital in Gonabad, Iran, from February 2020 to November 2021. Data on demographic factors, clinical features, and hospitalization outcomes were gathered from patients' medical records at the Medical Care Monitoring Center (MCMC) and analyzed using the logistic regression model.
Results: The median age of the patients was 61.0 years (Interquartile range: 32.0). Respiratory distress (57.1%), fever (37.3%)), and cough (32.5%) were the most common symptoms reported. Comorbidities, including hypertension (28.8), cardiovascular disease (15.4%), and diabetes (15.2%), were prevalent among the patients. The overall mortality rate was 12.8%. The findings of the logistic regression model indicated that patients aged 15-44 and 45-64 had lower mortality odds compared to older age groups (odds ratio [OR]=0.14 (95% confidence interval [CI]: 0.08, 0.27); OR= 0.32 (95% CI: 0.21, 0.50), respectively). The respiratory distress (OR=1.87, 95% CI: 1.29, 2.70), impaired consciousness (OR=9.27, 95% CI: 5.48, 15.67), cancer (OR=3.53, 95% CI: 1.40, 8.92), diabetes (OR=1.61, 95% CI: 1.04, 2.49), and chronic kidney disease (OR=5.00, 95% CI: 1.92, 13.02) were significantly associated with higher mortality rates.
Conclusion: COVID-19 patients with older age, respiratory distress, impaired consciousness, cancer, diabetes, or chronic kidney disease face significantly higher mortality rates, underscoring the need for increased attention and care for them to prevent serious outcomes.
Type of Study: Orginal Article |
Subject:
● Disease Control
Received: 2024/09/28 | Accepted: 2024/12/28 | Published: 2025/08/5
Received: 2024/09/28 | Accepted: 2024/12/28 | Published: 2025/08/5
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