Heart Failure (HF) is a complex disease associated with the highest burden of cost to the healthcare system. The cardiopulmonary exercise test (CPET) is instrumental in determining the prognosis of patients with HF. This multicentre study will validate whether aggregate biometric data from the Apple Watch combined with demographic, cardiac, and biomarker testing can improve our ability to predict heart failure outcomes among a diverse outpatient HF population.
broad age range (> 18 years of age)
NT-proBNP > 400 or 1000 if in AF
Within 3 months post discharge from HF hospitalization/ HF ED visit/ HF rapid clinic visit with intensification of diuretic therapy
NYHA functional class I-IV, heart failure with reduced and preserved ejection fraction
Unable to perform a CPET based on the standard protocol
End stage renal disease requiring dialysis
Living with LVAD
MRP deems patient unfit for the study
University Health Network, Toronto
Lead sponsor
Canadian Institutes of Health Research (CIHR)
Collaborator