TOP 60 - Examining the Association Between Comorbid Attention-Deficit/Hyperactivity Disorder and Healthcare Utilization Metrics in Adolescents with Type 1 Diabetes Mellitus Admitted for Diabetic Ketoacidosis

Publication Number: 3791.TOP 60

Alina von Korff, Boston Children's Hospital, Jamaica Plain, MA, United States; Elizabeth harstad, Boston Children's Hospital, Boston, MA, United States; Katharine Garvey, Boston Children's Hospital, Boston, MA, United States; George Sideridis, Boston Children's Hospital, Boston, MA, United States

Background: Management of Type 1 Diabetes Mellitus (T1DM) requires substantial daily effort and attention to detail, including multiple insulin administrations and frequent blood glucose monitoring. Individuals with Attention-deficit/hyperactivity disorder (ADHD) often struggle with attention and executive functioning tasks, which are essential for effective diabetes self-management. The co-occurrence of ADHD and T1DM has been associated with significantly higher rates of suboptimal glycemic control and, Diabetic Ketoacidosis (DKA).

Objective: This study aims to examine the association between comorbid ADHD and healthcare utilization metrics among adolescents with T1DM hospitalized for DKA.

Design/Methods: We will conduct a secondary data analysis of the 2022 Kids' Inpatient Database which is a large de-identified database of pediatric hospital discharges in 2022. Pediatric patients with T1DM ages 13-21 years old whose primary reason for admission was DKA and who were discharged to home will be included in this study. Identified covariates include age, sex, median household income quartile, payer type, region of hospital, hospital type, disease severity at admission, and presence of Anxiety Disorders, Depressive Disorders, and/or Intellectual Disability. To explore the association between presence of ADHD and length of hospital stay, and separately ADHD and hospital cost, we will use nested multivariate negative binomial regression and nested multivariate linear regression, respectively.

Database cleaning has been completed as of 10/2025 and analysis will be completed by 12/2025.