Prescription of Steroids in General Pediatric Intensive Care Patients-A Two-Center Retrospective Observational Study

OBJECTIVES:Designing randomized trials to determine utility, dose, and timing of steroid administration in the management of critically unwell children may be difficult owing to a high proportion of patients who receive steroid as part of current care. We aimed to describe steroid use among all patients on two general PICUs. DESIGN:Retrospective observational study using a multilevel logistic regression model. SETTING:Two tertiary, general mixed medical and surgical PICUs. PATIENTS:All admissions between 2016 and 2019. All parenteral or enteral steroid prescriptions were identified, and steroid type, frequency, timing, and peak daily doses were recorded. The outcome measure was mortality prior to PICU discharge. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:There were 5,483 admissions during the study period, and 1,804 (33%) of these involved prescription of at least one steroid. Among patients prescribed steroids, the median peak daily dose when steroids were prescribed was 2.4 mg/kg/d prednisolone equivalent (interquartile range, 1.6-3.6), and the median time to peak steroid doses was 2 days (1-5 d). Administration of steroid was associated with increased risk-adjusted mortality odds ratio (OR) of 1.37 (95% CI, 1.04-1.79). Steroids were prescribed in 42.3% of admissions, in which the child did not survive to PICU discharge. Among children who were prescribed steroids, use of hydrocortisone (OR, 6.75; 95% CI, 3.79-12.27) and methylprednisolone (OR, 7.85; 95% CI, 4.21-14.56), or starting steroids later than 2 days after PICU admission were associated with an increased mortality (OR, 1.93; 95% CI, 1.15-3.25). CONCLUSIONS:Steroids are widely used in pediatric critical illness and nonsurvival associated with increased frequency of use. This association appears to be related to steroid class and timing of dose, both likely to reflect indication for steroid prescription. Prospective trials are required to estimate these complex risks and benefits, and study design will need to consider these patterns.