Multivariable analysis of clinical and laboratory data manifestations predicting severity and mortality risk in patients with Coronavirus disease 2019 in the mountainous west of Iran: a retrospective single-center study
, , , , , and | Feb 28, 2022
Article Category: Original article
Published Online: Feb 28, 2022
Page range: 31 - 42
DOI: https://doi.org/10.2478/abm-2022-0005
Keywords
© 2022 Zahra Naderi Beni et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Background
Few reports have addressed the clinical and laboratory features of patients with coronavirus disease-2019 (COVID-19) in mountainous areas, especially in Iran.
Objectives
To report the clinical and laboratory data and manifestations predicting mortality of patients with COVID-19 in the west of Iran.
Methods
We conducted a retrospective cohort study of 286 patients hospitalized with COVID-19 between 25 February 2020 and 12 May 2020 to describe their clinical symptoms and laboratory test findings when they were admitted at the Hajar Hospital affiliated with the Shahrekord University of Medical Sciences, and a multivariable analysis of factors that predict their disease severity and mortality.
Results
After hospital admission, 18 patients died and 268 were discharged. Older age [odds ratio (OR) = 1.02, 95% confidence interval (CI) = 1.01–1.04,
Conclusions
Those who did not survive tended to be elderly and had a greater incidence of comorbidities. Elevated LDH, decreased levels of calcium and phosphorus, and anemia at diagnosis were associated with greater risk of death for these Iranian patients hospitalized with COVID-19. Regular assessment of these markers would help to manage patients with COVID-19.