1. Epidemiology of COVID-19 in Tehran, Iran: A Cohort Study of Clinical Profile, Risk Factors, and Outcomes.
- Author
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Hatamabadi H, Sabaghian T, Sadeghi A, Heidari K, Safavi-Naini SAA, Looha MA, Taraghikhah N, Khalili S, Karrabi K, Saffarian A, Shahsavan S, Majlesi H, Allahgholipour Komleh A, Hatari S, Zameni N, Ilkhani S, Hajimirzaei SM, Ghaffari A, Fallah MM, Kalantar R, Naderi N, Bahmaei P, Asadimanesh N, Esbati R, Yazdani O, Shojaeian F, Azizan Z, Ebrahimi N, Jafarzade F, Soheili A, Gholampoor F, Namazi N, Solhpour A, Jamialahamdi T, Pourhoseingholi MA, and Sahebkar A
- Subjects
- Aged, Cohort Studies, Comorbidity, Female, Humans, Iran epidemiology, Male, Middle Aged, Retrospective Studies, Risk Factors, SARS-CoV-2, COVID-19 epidemiology, Hypertension epidemiology
- Abstract
Background: The outbreak of coronavirus disease 2019 (COVID-19) dates back to December 2019 in China. Iran has been among the most prone countries to the virus. The aim of this study was to report demographics, clinical data, and their association with death and CFR., Methods: This observational cohort study was performed from 20th March 2020 to 18th March 2021 in three tertiary educational hospitals in Tehran, Iran. All patients were admitted based on the WHO, CDC, and Iran's National Guidelines. Their information was recorded in their medical files. Multivariable analysis was performed to assess demographics, clinical profile, outcomes of disease, and finding the predictors of death due to COVID-19., Results: Of all 5318 participants, the median age was 60.0 years, and 57.2% of patients were male. The most significant comorbidities were hypertension and diabetes mellitus. Cough, dyspnea, and fever were the most dominant symptoms. Results showed that ICU admission, elderly age, decreased consciousness, low BMI, HTN, IHD, CVA, dialysis, intubation, Alzheimer disease, blood injection, injection of platelets or FFP, and high number of comorbidities were associated with a higher risk of death related to COVID-19. The trend of CFR was increasing (WPC: 1.86) during weeks 25 to 51., Conclusions: Accurate detection of predictors of poor outcomes helps healthcare providers in stratifying patients, based on their risk factors and healthcare requirements to improve their survival chance., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2022 Hamidreza Hatamabadi et al.)
- Published
- 2022
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