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Over 60 years of age as an independent prognostic factor of in-hospital mortality among COVID-19 patients: a cohort study in an Iranian high-incidence area

OBJECTIVES: COVID-19 continues to cause devastation throughout the world. Various factors influence the perioperative course and prognosis of COVID-19. This study aims to collate the independent prognostic factors among hospitalised COVID-19 patients in east Iran. STUDY DESIGN: In this cohort study,...

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Detalles Bibliográficos
Autores principales: Navayi, M., Fanoodi, A., Salmani, F., Abedi, F., Shetty, S., Riahi, S.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society for Public Health. Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437758/
https://www.ncbi.nlm.nih.gov/pubmed/34656815
http://dx.doi.org/10.1016/j.puhe.2021.09.007
Descripción
Sumario:OBJECTIVES: COVID-19 continues to cause devastation throughout the world. Various factors influence the perioperative course and prognosis of COVID-19. This study aims to collate the independent prognostic factors among hospitalised COVID-19 patients in east Iran. STUDY DESIGN: In this cohort study, all patients with a confirmed diagnosis of COVID-19 between 19 February 2020 and 1 August 2020 who were admitted to nine public hospitals of South Khorasan province, Iran, were enrolled. METHODS: Univariate analysis (chi-square [χ(2)], and Mann–Whitney U test) and multiple logistic regression were performed. RESULTS: This study included 1290 participants; 676 patients (52.4%) were male. A total of 1189 (92.2%) recovered, and 101 (7.8%) died. The results show that in-hospital mortality increases with advanced age (the optimal cut-off point = 62 years). The following three variables were shown to have the most significant role in in-hospital mortality: age >60 years (odds ratio [OR] = 8.01, 95% confidence interval [CI] 4.8–13.35), shortness of breath (OR = 2.65, 95% CI: 1.4–69.17) and atypical radiological manifestations in a chest X-ray on admission (OR = 2.16, 95% CI: 1.3–28.64). In the univariate analysis, associated comorbidities, such as cardiovascular diseases, influenced the in-hospital mortality rate, while the same could not be replicated in the multiple variable analysis. CONCLUSIONS: This study revealed the potential predictors of COVID-19 and highlighted the need to be cautious with advanced age and heightened clinical symptoms at the time of admission.