Key result
Healthcare utilization and neurological conditions predict 30-day pediatric neurology readmissions with ~0.73 AUROC.
Why the study?
Unplanned readmission measures quality of care in pediatric patients with neurological conditions, but novel risk factors for readmission in this population required identification.
What are the predictors of 30-day unplanned readmission in pediatric patients with neurological conditions?
Cohort (n=105,834)
Yes
What are the predictors of 30-day unplanned readmission in pediatric patients with neurological conditions?
Current and prior healthcare resource utilization, along with specific neurological conditions, are strong predictors of 30-day unplanned readmission in pediatric neurology patients.
May support readmission risk stratification in pediatric neurology; leaves open prospective validation and intervention trials.
BACKGROUND: Unplanned readmission is one of many measures of the quality of care of pediatric patients with neurological conditions. In this multicenter study, we searched for novel risk factors of readmission of patients with neurological conditions. METHODS: We retrieved hospitalization data of patients less than 18 years with one or more neurological conditions. This resulted in a total of 105,834 encounters from 18 hospitals. We included data on patient demographics, prior healthcare resource utilization, neurological conditions, number of other conditions/diagnoses, number of medications, and number of surgical procedures performed. We developed a random intercept logistic regression model using stepwise minimization of Akaike Information Criteria for variable selection. RESULTS: The most important neurological conditions associated with unplanned pediatric readmissions include hydrocephalus, inflammatory diseases of the central nervous system, sleep disorders, disease of myoneural junction and muscle, other central nervous system disorder, other spinal cord conditions (such as vascular myelopathies, and cord compression), and nerve, nerve root and plexus disorders. Current and prior healthcare resource utilization variables, number of medications, other diagnoses, and certain inpatient surgical procedures were associated with changes in odds of readmission. The area under the receiver operator characteristic curve (AUROC) on the independent test set is 0.733 (0.722, 0.743). CONCLUSIONS: Pediatric patients with certain neurological conditions are more likely to be readmitted than others. However, current and prior healthcare resource utilization remain some of the strongest indicators of readmission within this population as in the general pediatric population.
No takes yet. Share an insight, caveat, or question.
O’Connell et al. (2021) conducted a cohort in Neurological conditions (n=105,834). Risk factor prediction model was evaluated on 30-day unplanned readmission (model AUROC) (95% CI 0.722-0.743). A multivariable logistic regression model incorporating healthcare utilization and specific neurological conditions predicted 30-day unplanned readmissions in pediatric neurology patients with an AUROC of 0.733.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: