4.6 Article

Cardiometabolic Morbidity in Adults With Cerebral Palsy and Spina Bifida

期刊

AMERICAN JOURNAL OF MEDICINE
卷 133, 期 12, 页码 E695-E705

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amjmed.2020.05.032

关键词

Cardiovascular disease; Cerebral palsy; Diabetes; Epidemiology; Spina bifida

资金

  1. National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) [90RTHF0001-01-00]

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PURPOSE: The purpose of this study was to compare the incidence of, and adjusted hazards for, cardiometabolic morbidities among adults with and without cerebral palsy or spina bifida. METHODS: Privately insured beneficiaries were included if they had an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic code for cerebral palsy or spina bifida (n = 15,302). Adults without cerebral palsy or spina bifida were also included (n = 1,935,480). Incidence estimates of common cardiometabolic morbidities were compared at 4 years of enrollment. Survival models were used to quantify unadjusted and adjusted hazard ratios (HRs) for incident cardiometabolic morbidities. RESULTS: Adults living with cerebral palsy or spina bifida had a higher 4-year incidence of any cardiometabolic morbidity (41.5% vs 30.6%) as compared to adults without cerebral palsy or spina bifida, and differences were to a clinically meaningful extent. Fully adjusted survival models demonstrated that adults with cerebral palsy or spina bifida had a greater hazard for any cardiometabolic morbidity (HR: 1.52; 95% confidence interval [CI]: 1.47, 1.57), and all but 1 cardiometabolic disorder (nonalcoholic fatty liver disease) and ranged from HR: 1.20 (1.15, 1.25) for hypercholesterolemia to HR: 1.86 (1.74, 1.98) for heart failure. CONCLUSIONS: Adults with cerebral palsy or spina bifida have a significantly higher incidence of, and risk for, common cardiometabolic morbidities, as compared to adults without cerebral palsy or spina bifida. Efforts are needed to facilitate the development of improved clinical screening algorithms and early interventions to reduce risk of cardiometabolic disease onset and progression in these higher-risk populations. (C) 2020 Elsevier Inc. All rights reserved.

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