Predictors of Intensive Care Unit Admission among Hospitalized COVID-19 Patients in a Large University Hospital in Tehran, Iran

Background: the rapid increase in the spread of covid-19 and the numbers of infected patientsworldwide has highlighted the need for intensive care unit (icu) beds and more advanced therapy. this need is more urgent in resource-constrained settings. the present study aimed to identify the predictors of icu admission among hospitalized covid-19 patients.study design: the current study was conducted based on a retrospective cohort design.methods: the participants included 665 definite cases of severe acute respiratory syndrome coronavirus 2 (sars-cov-2) hospitalized in imam hossein hospital from february 20 to may 14, 2020. the baseline characteristics of patients were assessed, and multivariate logistic regression analysis was utilized to determine the significant odds ratio (or) for icu admission.results: participants were aged 59.52±16.72 years, and the majority (55.6%) of them were male.compared to non-icu patients (n=547), the icu patients (n=118) were older, had more baselinecomorbidities, and presented more often with dyspnea, convulsion, loss of consciousness, tachycardia, tachypnea, and hypoxia, and less often with myalgia. significant or (95% ci) of icu admission was observed for the 60-80 age group (2.42, 95%ci: 1.01; 5.79), ≥80 age group (3.73, 95%ci: 1.44; 9.42), ≥3 comorbidities (2.07, 95%ci: 1.31; 3.80), loss of consciousness (6.70, 95%ci: 2.94, 15.24), tachypnea (1.79, 95%ci: 1.03, 3.11), and spo2<90 (5.83, 95%ci: 2.74; 12.4). abnormal laboratory results were more common among icu-admitted patients; in this regard, leukocytosis (4.45, 95%ci: 1.49, 13.31), lymphopenia (2.39, 95%ci: 1.30; 4.39), elevated creatine phosphokinase (cpk) (1.99, 95%ci: 1.04; 3.83), and increased aspartate aminotransferase (ast) (2.25, 95%ci: 1.18-4.30) had a significant or of icu admission. chest computer tomography (ct) revealed that consolidation (1.82, 95%ci: 1.02, 3.24), pleural effusion (3.19, 95%ci: 1.71, 5.95), and crazy paving pattern (8.36, 95%ci: 1.92, 36.48) had a significant or of icu admission.conclusion: as evidenced by the obtained results, the predictors of icu admission were identifiedamong epidemiological characteristics, presenting symptoms and signs, laboratory tests, and chest ct findings.