Predictors of proarrhythmic effect in heart failure patients after 9-week hybrid comprehensive telerehabilitation and their influence on cardiovascular mortality in long-term follow-up: Subanalysis of the TELEREH-HF randomized clinical trial.

BACKGROUND: Regular exercise training is beneficial in heart failure (HF) patients. However, its potential proarrhythmic effect is possible but has not been sufficiently investigated. OBJECTIVE: To identify patients at risk for proarrhythmic effect after the 9-week of hybrid comprehensive telerehabilitation (HCTR) program vs the 9-week of usual care (UC) and to investigate its predictors and impact on cardiovascular mortality based on data from the TELEREH-HF RCT. METHODS: Proarrhythmic effect, strictly defined on the basis of available standards was evaluated by comparing 24-h Holter ECG before and after 9-week of HCTR or UC of 773 HF patients (The New York Heart Association class I-III, left ventricular ejection fraction ≤40%). RESULTS: The proarrhytmic effect was found in 78 (20.4%) and in 61 (15.6%) patients in the HCTR and UC group respectively, and the difference between groups was not statistically significant (p = 0.081). However, univariate analysis identified several statistically significant predictors of proarrhythmia in HCTR only vs the UC group. After a multivariate analysis ischaemic aetiology of HF (OR = 2.27, p = 0.008), peak oxygen consumption at baseline <14 ml/kg/min (OR = 2.03, p = 0.012) and level of N-terminal-pro B-type natriuretic peptide (NT-proBNP) in the first and the second tercile (OR = 1.85, p = 0.043) were identified to be independent predictors of proarrhytmic effect of exercise training among the HF patients in HCTR group only. CONSLUSIONS: Patients who underwent a 9-week HCTR were not at a higher risk of proarrhythmic effect after its completion compared to UC. However, predictors of proarrhythmia such as ischemic aetiology of HF, poor physical capacity, lower NT-proBNP level were discovered in the HCTR group only, yet it does not cause a significant risk of cardiovascular mortality including sudden cardiac death in long-term follow-up.

Duke Scholars

Author Michael J Pencina Biostatistics & Bioinformatics, Division of Biostatistics