Caracterización clínica y tomográfica de pacientes hospitalizados con COVID-19

Abstract

Objective: To perform a clinical and imaging characterization in patients hospitalized for COVID-19 and to analyze whether there are risk predictors associated with greater severity of the condition. Method: Observational, retrospective study. Patients hospitalized with COVID-19 were included between April and July 2020. Demographic data, comorbidities, laboratory tests, tomographic pattern in thorax tomography (TC), therapies received, and type of respiratory support were recorded. In the statistical analysis to identify risk factors, we used Pearson's χ2 test or Fisher's test to compare categorical variables and Mann-Whitney test to compare continuous variables. Results: 164 patients were analyzed. Median age was 57 years (21 to 89). 111 patients (68%) were male and a median of 7 days of symptoms prior to admission (1 to 23). 68 patients (41%) have obesity (significantly higher in patients < 60 years, p = 0.026), 56 (34%) arterial hypertension (HT) and 43 (26%) with diabetes mellitus. The predominant pattern in the admission CT scan was ground glass opacity (GGO) with “crazy paving” (35%) and then pure GGO (28%). Type of ventilatory support required was considered as an indicator of severity. 51 patients (31%) require non-invasive ventilatory support (high-flow nasal cannula or NIMV) and 19 (11%) invasive ventilation (IMV). The statistically significant predictor variables of severity were HT (p = 0.001), Diabetes Mellitus (p = 0.001) and Obesity. (p = 0.002). Conclusions: Patients hospitalized for COVID 19 with the highest risk of respiratory torpid evolution were obese, hypertensive and diabetic patients