ABSTRACT
Due to our mistake in entering the affiliation and name of Mojgan Sarmadi in our article (Article ID: 110201, DOI: 10.5812/pedinfect.110201), we would like to apologize for any inconvenience made to our author and her affiliated organization, which is "National Institute of Dental and Craniofacial Research, Oral Immunity and Infection Unit, Oral and Pharyngeal Cancer Branch, National Institute of Health, Bethesda, MD 20892, US". We declare the correct affiliation of Mojgan Sarmadi is a private practice. © 2022, Author(s).
ABSTRACT
Background: Ever since coronavirus disease 2019 (COVID-19) has emerged as a global public health problem, risk factors for severe disease have been reported in studies from Western countries. However, apart from studies of Chinese origin, few reports are available on COVID-19 severity among the Asian population. This study investigates potential risk factors for development of critical COVID-19 in an Iranian population. Methods: In this retrospective cohort study, we included all adults with COVID-19 from 2 tertiary centers in Iran who had been diagnosed between February 20 and April 1, 2020, in either inpatient or outpatient settings. “Critical COVID-19” was proposed when a hospitalized patient was scheduled for admission to intensive care unit, assisted by mechanical ventilation, or pronounced dead. We used univariable and multivariable logistic and linear regression models to explore the potential risk factors associated with critical COVID-19, admission to hospital, and length of hospital stay. Results: Of the 590 recruited patients, 427 (72.4%) were hospitalized, 186 (31.5%) had critical COVID-19, and 107 (18.2%) died. In the multivariable regression analysis, age >60 years and physical/mental disabilities were associated with critical COVID-19 (odds ratio (OR), 2.33 and 7.03;95% CI, 1.51-3.60 and 2.88-17.13, respectively);and history of renal, heart, or liver failure was associated with both COVID-19 hospitalization (OR, 4.13;95% CI 1.91-8.95;p<0.001) and length of hospital stay (Beta 1.90;95% CI, 0.763.04;p=0.001). Conclusion: Age >60 years and physical/mental disabilities can predict development of critical COVID-19 in the Iranian population. Also, the presence of renal, heart, or liver failure might predict both COVID-19 hospitalization and length of hospital stay. © 2021 Iran University of Medical Sciences. All Rights Reserved.
ABSTRACT
Context: In the era of the SARS-CoV-2 virus pandemic, new scoring systems need to be developed to estimate the risk of COVID-19 complications aiding in the accurate prognosis. Improved scoring systems by combining multiple variables allow clinicians to optimize the allocation of limited medical resources for the best clinical outcomes. Methods: Published articles were selected that assessed the relationship between clinical, para-clinical, demographics, comorbidities, and outcomes of COVID-19 patients in a systematic review to develop a novel scoring system. Results: In this study, by summarizing the results of 97 studies and the experiences of experts, prognostic factors were determined and divided into four groups: Age, clinical symptoms, co-morbidities, and tests. Twenty-three published articles met the selection criteria and were included in this study. Accordingly, by the opinion of experts, prognostic factors were categorized into four main groups: Age, clinical symptoms, co-morbidities, and specific test results. Conclusions: This novel scoring model helps physicians to early identify critical COVID-19 patients and optimize patient management based on recent comprehensive data of the most significant predictive factors.