driscoll-predictorsofreferral-2022.pdf (1.08 MB)
Predictors of Referral to Cardiac Rehabilitation in Patients following Hospitalisation with Heart Failure: A Multivariate Regression Analysis
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posted on 2022-01-01, 00:00 authored by C Giuliano, D Vicendese, S Vogrin, R Lane, Andrea DriscollAndrea Driscoll, D Dinh, K Palmer, I Levinger, C NeilBackground: This exploratory observational case–control study investigated the rate of referral to cardiac rehabilitation (CR) among patients hospitalised with heart failure (HF) and identified factors associated with referral. Methods: Patients hospitalised with HF as identified by the Victorian Cardiac Outcomes Registry HF study were included. Factors found to be univariately associated with referral were selected for multivariate logistic regression. Results: Among 1281 patients (mean age: 76.9 years; 32.8% HFrEF and 33.9% HfpEF), 125 (9.8%) were referred to CR. Patients referred were younger (73.6 (2.7, 81.5) vs. 80.2 (71.1, 86.5) p < 0.001) and were more likely to be men (72%, p < 0.001). Factors associated with referral included inpatient percutaneous coronary intervention (OR, 3.31; 95% CI, 1.04–10.48; p = 0.04), an aetiology of ischaemic or rhythm-related cardiomyopathy, and anticoagulants prescribed on discharge. Factors that lowered the likelihood of referral included older age, female, receiving inpatient oxygen therapy, and the presence of chronic obstructive pulmonary disease (COPD) or anaemia. Conclusions: The rate of referral to CR following hospitalisation with HF is low. Shortfalls are particularly evident among females, older patients, and in those with COPD or anaemia. Future studies should focus on improving referral processes and translating proven strategies that increase referrals to CR into practice.
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Journal
Journal of Clinical MedicineVolume
11Issue
5Article number
1232Pagination
1 - 12Publisher
MDPILocation
Basel, SwitzerlandPublisher DOI
ISSN
2077-0383eISSN
2077-0383Language
EnglishPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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