Predictors of Intensive Care Unit Admission in Patients with Confirmed Coronavirus Disease 2019: A Cross-Sectional Study

Abstract

Background: The coronavirus disease 2019 (COVID-19) has become the leading source of pneumonia outbreaks in the world. The present study aimed to compare the condition of intensive care unit (ICU) and non-ICU COVID-19 patients in terms of epidemiological and clinical features, laboratory findings, and outcomes in three cities across Iran.Methods: In a cross-sectional study, 195 COVID-19 patients admitted to five hospitals across Iran during March-April 2020 were recruited. Collected information included demographic data, laboratory findings, symptoms, medical history, and outcomes. Data were analyzed using SPSS software with t test or Mann-Whitney U test (continuous data) and Chi square test or Fisher’s exact test (categorical variables). P40 years, body mass index<18 Kg/m2, hypertension, coronary artery disease, fever, cough, dyspnea, ST-segment changes, pericardial effusion, and a surge in WBC and C-reactive protein, aspartate aminotransferase, and BUN. Conclusion: A high index of suspicion for ICU admission should be maintained in patients with positive clinical and laboratory predictive factors.

Keywords

• covid-19
• sars-cov-2
• dyspnea
• pneumonia
• intensive care unit