Analysis of factors associated with admission to the intensive care unit of children and adolescents with COVID-19: application of a multilevel model - Critical Care Science (CCS)

ABSTRACT

Objective

To identify factors associated with hospitalization in the intensive care unit in children and adolescents with COVID-19.

Methods

This was a retrospective cohort study using secondary data of hospitalized children and adolescents (zero to 18 years old) with COVID-19 reported in Paraíba from April 2020 to July 2021, totaling 486 records. Descriptive analysis, logistic regression and multilevel regression were performed, utilizing a significance level of 5%.

Results

According to logistic regression without hierarchical levels, there was an increased chance of admission to the intensive care unit for male patients (OR = 1.98; 95%CI 1.18 – 3.32), patients with respiratory distress (OR = 2.43; 95%CI 1.29 – 4.56), patients with dyspnea (OR = 3.57; 95%CI 1.77 – 7.18) and patients living in large cities (OR = 2.70; 95%CI 1.07 – 6.77). The likelihood of requiring intensive care was observed to decrease with increasing age (OR = 0.94; 95%CI = 0.90 – 0.97), the presence of cough (OR = 0.32; 95%CI 0.18 – 0.59) or fever (OR = 0.42; 95%CI 0.23 – 0.74) and increasing Gini index (OR = 0.003; 95%CI 0.000 – 0.243). According to the multilevel analysis, the odds of admission to the intensive care unit increased in male patients (OR = 1.70; 95%CI = 1.68-1.71) and with increasing population size of the municipality per 100,000 inhabitants (OR = 1.01; 95%CI 1.01-1.03); additionally, the odds of admission to the intensive care unit decreased for mixed-race versus non-brown-skinned patients (OR = 0.981; 95%CI 0.97 – 0.99) and increasing Gini index (OR = 0.02; 95%CI 0.02 – 0.02).

Conclusion

The effects of patient characteristics and social context on the need for intensive care in children and adolescents with SARS-CoV-2 infection were better estimated with the inclusion of a multilevel regression model.