RESUMEN
INTRODUCTION: Hypertension (HTN) is a co-morbidity that is commonly associated with heart failure with preserved ejection fraction (HFpEF). However, it remains unclear whether treatment of hypertension in HFpEF patients is associated with improved cardiovascular outcomes. AIM: The purpose of this meta-analysis is to evaluate the association of anti-hypertensive medical therapy with cardiovascular outcomes in patients with HFpEF. METHODS: We performed a database search for studies reporting on the association of anti-hypertensive medications with cardiovascular outcomes and safety endpoints in patients with HFpEF. The databases searched include OVID Medline, Web of Science, and Embase. The primary endpoint was all-cause mortality. Secondary endpoints include cardiovascular (CV) mortality, worsening heart failure (HF), CV hospitalization, composite major adverse cardiovascular events (MACE), hyperkalemia, worsening renal function, and hypotension. RESULTS: A total of 12 studies with 14062 HFpEF participants (7010 treated with medical therapy versus 7052 treated with placebo) met inclusion criteria. Use of anti-hypertensive medications was not associated with lower all-cause mortality, CV mortality or CV hospitalization compared to treatment with placebo (OR 1.02, 95% CI 0.77-1.35; p = 0.9, OR 0.88, 95% CI 0.73-1.06; p = 0.19, OR 0.99, 95% CI 0.87-1.12; p = 0.83, OR 0.90, 95% CI 0.79-1.03; p = 0.11). Anti-hypertensive medications were not associated with lower risk of subsequent acute myocardial infarction (AMI) (OR 0.53, 95% CI 0.07-3.73; p = 0.5). Use of anti-hypertensive medications was associated with a statistically significant lower risk of MACE (OR 0.90, 95% CI 0.83-0.98; p = 0.02). CONCLUSIONS: While treatment with anti-hypertensive medications was not associated with lower risk of all-cause mortality, their use may be associated with reduce risk of adverse cardiovascular outcomes in patients with HFpEF regardless of whether they have HTN. Additional high quality studies are required to clarify this association and determine the effect based on specific classes of medications.
