The Global Ambulatory Blood Pressure Monitoring (ABPM) in Heart Failure with Preserved Ejection Fraction (HFpEF) Registry. Rationale, design and objectives.
Miguel CamafortAkintunde AdeseyeAntonio CocaAlbertino DamascenoGiovanni de SimoneMaria DorobantuPardeep S JhundKazuomi KarioTakahiro KomoriHae Young LeePatricio López-JaramilloOkechukwu Samuel OgahSandosh PadmanabahnDomingo A Pascual-FigalWook Bum PyunNicolás Federico RennaWeimar Kunz Sebba BarrosoOsiris Valdez-TiburcioFernando Stuardo Wyss QuintanaPublished in: Journal of human hypertension (2020)
Hypertension is a major risk factor for the development of heart failure with preserved ejection fraction (HFPEF) and blood pressure (BP) in itself is an important marker of prognosis. The association of BP levels, and hemodynamic parameters, measured by ambulatory blood pressure monitoring (ABPM), with outcomes, in patients with HFPEF is largely unknown. Patients with HFPEF have a substantial burden of co-morbidities and frailty. In addition there are marked geographic differences in HFPEF around the world. How these difference influence the association between BP and outcomes in HFPEF are unknown. The Global Ambulatory Blood Pressure Monitoring (ABPM) in Heart Failure with Preserved Ejection Fraction (HFpEF) Registry aims to assess the relevance of BP parameters, measured by ABPM, on the outcome of HFPEF patients worldwide. Additionally, the influence of other relevant factors such as frailty and co-morbidities will be assessed. Stable HFPEF patients with a previous hospitalization, will be included. Patients should be clinically and hemodynamically stable for at least 4 weeks before study inclusion. Specific data related to HF, biochemical markers, ECG and echocardiography will be collected. An ABPM and geriatric and frailty evaluation will be performed and the association with morbidity and mortality assessed. Follow up will be at least one year.
Keyphrases
- blood pressure
- heart rate
- hypertensive patients
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- heart rate variability
- prognostic factors
- blood glucose
- type diabetes
- peritoneal dialysis
- clinical trial
- adipose tissue
- machine learning
- risk factors
- electronic health record
- left ventricular
- insulin resistance
- weight loss
- community dwelling