ArticleJournal of research in health sciences2021
Survival Rates and Prognostic Factors in Patients with Coronavirus Disease 2019: A Registry-Based Retrospective Cohort Study.
Article in Journal of research in health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Survival analysis and mortality predictors of COVID-19 across the six-wave pattern of the pandemic in Monastir, Tunisia : COVID-19 mortality predictors in Monastir across six waves.BMC infectious diseases · 2026Article
- Predicting survival of Hodgkin lymphoma using machine learning-an analysis based on the SEER database.Annals of hematology · 2026Article
- COVID-19, Myocarditis and Pericarditis.Circulation research · 2023Review
- Analysis of COVID-19 pandemics in Kazakhstan.Journal of research in health sciences · 2021Article
- Predictors of death in patients with COVID-19: A cross-sectional study in West of Iran.Medical journal of the Islamic Republic of Iran · 2021Article
- Prognosis and sequelae of severe COVID-19 patients after 6 months of hospital discharge: A retrospective cohort study.International journal of critical illness and injury scienceArticle
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Authors and funding
4 authors.
Funding
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Abstract
backgroundCoronavirus disease 2019 (COVID-19) is a contagious disease caused by a newly identified coronavirus. Our knowledge about the survival rate and prognostic factors of the disease is not established well. Therefore, this study aimed to identify the risk factors associated with the survival of COVID-19 cases in Hamadan province, West of Iran. STUDY
designA retrospective cohort study
methodsThis retrospective cohort study was performed in Hamadan province, West of Iran. The study included patients that referred to the provincial hospitals from February 20 to September 20, 2020. The follow-up of each subject was calculated from the date of onset of respiratory symptoms to the date of death. Demographic and clinical characteristics were extracted from patients' medical records. Kaplan-Meier method, Flemington-Harrington test, and Cox regression were used for data analysis.
resultsThe overall 1, 5, 10, 20, 30 and 49-day survival rates were estimated at 99.57%, 95.61%, 91.15%, 87.34%, 86.91%, and 86.74%, respectively. Furthermore, survival time showed a significant association with age, gender, history of traveling to contaminated areas, co-morbidity, neoplasms, chronic diseases, and hospital units.
conclusionIn conclusion, elderly people, male gender, and comorbidities presented a greater risk of death. Therefore, it is important to pay more attention to this group of people to reduce the incidence and consequences after infection.
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