Analysis of clinical management and radiological affection of coronavirus disease 2019 patients under isolation: an experience from a University Hospital

Abstract

During the coronavirus disease 2019 (COVID-19) pandemic, Egypt was among the minor epidemic areas. COVID-19 has wide variations in the clinical presentation manifesting as a heterogeneous disease severity varying from mild, moderate, and severe to critical illness. This study aimed to identify the potential clinical, radiological, and laboratory characteristics and prognosis of the COVID-19 patients obtained during the first peak of this pandemic at a University Hospital in Egypt, and to provide a reference for the pandemic management in the subsequent peaks. A single-center prospective study was done on patients with COVID-19 admitted to Fayoum University Hospital during the period from May to July 2020. All patients had full medical history taking, clinical examination, laboratory assessment, oxygen-saturation monitoring, chest computed tomography (CT), and reverse transcriptase-PCR testing. All the patients were treated with the treatment protocol accredited by the Egyptian Ministry of Health and accordingly disease outcome was determined. The study included 162 COVID-19 patients, 80 (49.4%) had mild cases, 40 (24.7%) had moderate cases, and 26 (16.0%) and 16 (9.9%) had severe and critical cases, respectively. The median CT-severity score was 10 (3.75–11.25). Significantly high serum levels of C-reactive protein, D-dimer, lactate dehydrogenase, and ferritin levels were observed in severe cases (P<0.01 for all) in comparison with mild/moderate cases. By comparing died cases with other severe cases, the proportion of cases with CURB 65 score (comorbidity, confusion, urea, respiratory rate, blood pressure, and 65 years of age or older score) more than or equal to 4, PaO2/FiO2 less than 300, hypoxemia less than 85%, higher levels of ferritin, D-dimer, alanine aminotransferase, aspartate aminotransferase, CT severity, and consolidation score were significantly higher in died cases than other severe cases. By regression analysis, among severe cases, predictors of death were the presence of comorbidity and increased consolidation size. All healthcare workers should understand the presentation of the disease, workup, and supportive care experienced from the first outbreak and offer an evidence-based management for succeeding outbreaks in our community.