Dataset related to article: "Diffuse idiopathic skeletal hyperostosis in subjects with congestive heart failure undergoing cardiac rehabilitation: A decision tree analysis" (Q6686445)

We provide the raw data used for the following article: Ambrosino P, Scrutinio D, De Campi M, Miniero E, Formisano R, Spedicato GA, Iannuzzi GL, Pappone N. Diffuse idiopathic skeletal hyperostosis in subjects with congestive heart failure undergoing cardiac rehabilitation: A decision tree analysis. J Rehabil Med. 2020 Mar 18;52(3):jrm00030. doi: 10.2340/16501977-2658. PMID: 32104899. Abstract Objective: To assess the prevalence of diffuse idiopathic skeletal hyperostosis and its relationship with vascular risk factors among patients with congestive heart failure. Design: Population-based cross-sectional study. Participants: A total of 584 consecutive patients admitted to a Rehabilitative Cardiology Unit. Methods: Chi-square Automatic Interaction Detector (CHAID) decision tree analysis was used to build a predictive model. Results: The mean age (standard deviation) of the study population was 68.1 years (standard deviation 12.3), and 77.7% of the subjects were men. The overall prevalence of diffuse idiopathic skeletal hyperostosis in the cohort was 49.8%. Logistic regression analysis showed that age was a predictor of diffuse idiopathic skeletal hyperostosis (odds ratio: 1.034; 95% confidence interval 1.021-1.047, p 0.001), with increasing odds ratios for increasing age tertiles. The CHAID prediction model identified 2 age buckets: 69 and 69 years. Patients 69 years had a diffuse idiopathic skeletal hyperostosis prevalence of 60.1%, compared with 39.2% among those 69 years. Notably, body mass index was a predictor of diffuse idiopathic skeletal hyperostosis in this younger subset of patients (p = 0.028), with 2 body mass index buckets, 23.3 and 23.3 kg/m2, the latter showing more than twice the prevalence of diffuse idiopathic skeletal hyperostosis (43.2% vs 20%). Conclusion: Diffuse idiopathic skeletal hyperostosis is extremely frequent among patients with congestive heart failure, with age and body mass index being the strongest predictors.