Odds of Cardiometabolic Diseases and Medications in Children With Cerebral Palsy

Author:

Dum Rachel1ORCID,Walter Vonn2,Thomas Neal J.23,Krawiec Conrad3ORCID

Affiliation:

1. Pennsylvania State University College of Medicine, Hershey, PA, USA

2. Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA

3. Department of Pediatrics, Pediatric Critical Care Medicine, Penn State Hershey Children's Hospital, Hershey, PA, USA

Abstract

Introduction/Objectives Individuals with cerebral palsy may be at risk of obesity, but outcomes and risk factors are understudied. The study objectives are to evaluate the frequency of body mass index (BMI) weight categories of individuals with cerebral palsy and the odds of cardiometabolic-specific diseases and medications. We hypothesize subjects with cerebral palsy and an increased body mass index will have higher odds of cardiometabolic specific diseases and medications. Methods This is a retrospective observational cohort study utilizing TriNetX, an electronic health record database, in subjects with cerebral palsy aged 2-18 years with an available body mass index. The study population was divided into 4 body mass index percentile categories, underweight (<5th body mass index percentile), healthy weight (≥5th to <85th percentile), overweight (≥85th to <95th percentile), and obese (≥95th percentile), and the odds of the following variables were evaluated: diagnostic codes and medication codes. We computed the odds ratio to test for associations between the body mass index categories and the variables of interest. Results A total of 5993 subjects were included: underweight (251, 4.2%), healthy weight (2390, 39.9%), overweight (943, 15.7%), and obese (2409, 40.2%). Obese subjects had a higher odds of asthma, diabetes mellitus, hypertension, and sleep apnea when compared to the health weight group. Conclusions This study found patients with cerebral palsy classified as obese had higher odds of cardiometabolic comorbidity and medication codes that influence weight. Body mass index measurements are limited in this population but may be used cautiously to evaluate the body type of children with cerebral palsy and monitor cardiometabolic-associated comorbidity occurrence.

Funder

National Center for Advancing Translational Sciences, National Institutes of Health

Publisher

SAGE Publications

Subject

Neurology (clinical),Pediatrics, Perinatology and Child Health

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