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COVID-19
Original Article
Prognostic Factors Associated with Survival in Patients Infected with COVID-19: A Retrospective Study on 214 Patients from Iran
Amir Sadeghi
1, Pegah Eslami
1, Arash Dooghaie Moghadam
1, Bobak Moazzami
2, Ali Pirsalehi
1*, Saba Ilkhani
1, Sepideh Banar
1, Fateme Feizollahi
1, Mohammad Vahidi
1, Saeed Abdi
1, Hamid Asadzadeh Aghdaei
3, Mohammad Reza Zali
1*, Maryam Nasserinejad
11 Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
3 Basic and Molecular Epidemiology of Gastroenterology Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
*Corresponding Authors: Ali Pirsalehi, MD; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Tel: +98-21 22432525; Fax: +98-21-22432517; Email: , Email:
pirsalehi@sbmu.ac.ir; *Corresponding Authors: Mohammad Reza Zali, MD; Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Tel: +98-21 22432525; Fax: +98-21-22432517; Email: , Email:
nnzali@hotmail.com
Abstract
Background: Decision-making on allocating scarce medical resources is crucial in the context of a strong health system reaction to the coronavirus disease 2019 (COVID-19) pandemic. Therefore, understanding the risk factors related to a high mortality rate can enable the physicians for a better decision-making process.
Methods: Information was collected regarding clinical, demographic, and epidemiological features of the definite COVID-19 cases. Through Cox regression and statistical analysis, the risk factors related to mortality were determined. The Kaplan-Meier curve was used to estimate survival function and measure the mean length of living time in the patients.
Results: Among about 3000 patients admitted in the Taleghani hospital as outpatients with suspicious signs and symptoms of COVID-19 in 2 months, 214 people were confirmed positive for this virus using the polymerase chain reaction (PCR) technique. Median time to death was 30 days. In this population, 24.29% of the patients died and 24.76% of them were admitted to the ICU (intensive care unit) during hospitalization. The results of Multivariate Cox regression Analysis showed that factors including age (HR, 1.031; 95% CI, 1.001–1.062; P value=0.04), and C-reactive protein (CRP) (HR, 1.007; 95% CI, 1.000–1.015; P value=0.04) could independently predict mortality. Furthermore, the results showed that age above 59 years directly increased mortality rate and decreased survival among our study population.
Conclusion: Predictor factors play an important role in decisions on public health policy-making. Our findings suggested that advanced age and CRP were independent mortality rate predictors in the admitted patients.
Keywords: COVID-19, Mortality, Prognosis, Coronavirus, SARS-CoV-2
Cite this article as: Sadeghi A, Eslami P, Dooghaie Moghadam A, Moazzami B, Pirsalehi A, Ilkhani S, et al. Prognostic factors associated with survival in patients infected with Covid-19: a retrospective study on 214 patients from iran. Arch Iran Med. 2021;24(4):333-338. doi: 10.34172/aim.2021.47