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
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.