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- Title
Creation of a novel algorithm to identify patients with Becker and Duchenne muscular dystrophy within an administrative database and application of the algorithm to assess cardiovascular morbidity.
- Authors
Soslow, Jonathan H; Hall, Matthew; Burnette, W Bryan; Hor, Kan; Chisolm, Joanne; Spurney, Christopher; Godown, Justin; Xu, Meng; Slaughter, James C; Markham, Larry W
- Abstract
<bold>Background: </bold>Outcome analyses in large administrative databases are ideal for rare diseases such as Becker and Duchenne muscular dystrophy. Unfortunately, Becker and Duchenne do not yet have specific International Classification of Disease-9/-10 codes. We hypothesised that an algorithm could accurately identify these patients within administrative data and improve assessment of cardiovascular morbidity.<bold>Methods: </bold>Hospital discharges (n=13,189) for patients with muscular dystrophy classified by International Classification of Disease-9 code: 359.1 were identified from the Pediatric Health Information System database. An identification algorithm was created and then validated at three institutions. Multi-variable generalised linear mixed-effects models were used to estimate the associations of length of stay, hospitalisation cost, and 14-day readmission with age, encounter severity, and respiratory disease accounting for clustering within the hospital.<bold>Results: </bold>The identification algorithm improved identification of patients with Becker and Duchenne from 55% (code 359.1 alone) to 77%. On bi-variate analysis, left ventricular dysfunction and arrhythmia were associated with increased cost of hospitalisation, length of stay, and mortality (p<0.001). After adjustment, Becker and Duchenne patients with left ventricular dysfunction and arrhythmia had increased length of stay with rate ratio 1.4 and 1.2 (p<0.001 and p=0.004) and increased cost of hospitalization with rate ratio 1.4 and 1.4 (both p<0.001).<bold>Conclusions: </bold>Our algorithm accurately identifies patients with Becker and Duchenne and can be used for future analysis of administrative data. Our analysis demonstrates the significant effects of cardiovascular disease on length of stay and hospitalisation cost in patients with Becker and Duchenne. Better recognition of the contribution of cardiovascular disease during hospitalisation with earlier more intensive evaluation and therapy may help improve outcomes in this patient population.
- Subjects
UNITED States; DUCHENNE muscular dystrophy; BECKER muscular dystrophy; FACIOSCAPULOHUMERAL muscular dystrophy; VENTRICULAR arrhythmia; MUSCULAR dystrophy; RESPIRATORY diseases; DIAGNOSIS of Duchenne muscular dystrophy; ALGORITHMS; CARDIOVASCULAR diseases; COMPARATIVE studies; DISEASES; DOCUMENTATION; HOSPITAL care; HOSPITAL costs; LONGITUDINAL method; RESEARCH methodology; MEDICAL cooperation; RESEARCH; RESEARCH evaluation; RESEARCH funding; RISK assessment; EVALUATION research; RETROSPECTIVE studies; DISEASE complications; ECONOMICS
- Publication
Cardiology in the Young, 2019, Vol 29, Issue 3, p290
- ISSN
1047-9511
- Publication type
journal article
- DOI
10.1017/S1047951118002226