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: The outbreak of coronavirus disease 2019 (COVID-19) has become a major threat to all humans. Objectives: To assess the association between the patients' clinical and laboratory records, CT findings, and epidemiological features of COVID-19 with the severity of the disease. Materials and Methods: In this retrospective case-control study conducted on the medical records of confirmed COVID-19 pneumonia patients on admission, we investigated the CT manifestations and clinical and laboratory risk factors for progression to severe COVID-19 pneumonia. The medical records and radiological CT features of confirmed COVID-19 patients were reviewed in one public hospital and one respiratory clinic in Qom, Iran, from August 1 to September 30, 2020. Results: Of 236 confirmed COVID-19 cases, 62 were infected with moderate to severe COVID-19 and required hospital admission, and 174 were followed-up on an outpatient basis. A significant difference was found in the mean age of the outpatient and hospitalized groups. The incidence of bilateral lung involvement, consolidations, linear opacities, crazy-paving pattern, air bronchogram, and number of lobes involved were significantly higher in the hospitalized group compared to the outpatient group. However, the crazy-paving pattern was only significantly associated with an oxygen saturation (SpO(2)) level < 90% and, coughing. Our findings indicated that the crazy-paving pattern was significantly associated with the inflammatory phase. The presence of this pattern on admission, SpO(2) < 90%, older age, and diabetes were independent risk factors for progression to severe COVID-19. Conclusion: The crazy-paving pattern can predict the severity of COVID-19, which is of great importance in the management and follow-up of COVID-19 pneumonia patients. Clinical factors, such as aging, male gender, and diabetes, may be risk factors for the crazy-paving pattern. Severe cough is the most important clinical sign related to this pattern, along with an SpO(2) < 90%, which is an important sign of COVID-19 severity.
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.