Predicting adverse events during angiotensin receptor blocker treatment in heart failure: Results from the HEAAL trial

Michael S. Kiernan, Deborah Wentworth, Gary Francis, Felipe A. Martinez, Kenneth Dickstein, Michel Komajda, Faiez Zannad, James D. Neaton, Marvin A. Konstam

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

AimsIn patients with heart failure and reduced left ventricular ejection fraction (HFrEF), renin-angiotensin-aldosterone system blockade reduces morbidity and mortality, but comes at an increased risk of adverse events (AEs). We utilized the HEAAL trial data to identify predictors of the most frequent investigator-reported AEs.Methods and resultsThe HEAAL trial investigated the relationship between losartan dose and outcomes in patients with HFrEF. Cox proportional hazards modelling was used to investigate predictors of AEs and their association with subsequent outcomes. In multivariate analyses, kidney impairment, hyperkalaemia, and hypotension were more likely to occur in older patients (P < 0.01 for each), and those taking aldosterone blockers (P < 0.01 for each). Entry levels of creatinine, potassium, and systolic blood pressure were associated with their respective AEs (P < 0.001 for each). Diabetes, baseline haemoglobin, and diuretic use were predictors (P < 0.05) of kidney impairment and hyperkalaemia. Following AEs due to kidney impairment [hazard ratio (HR) 2.19, 95 confidence interval (CI) 1.91-2.50], hyperkalaemia (HR 1.53, 95 CI 1.27-1.85), and hypotension (HR 1.93, 95 CI 1.62-2.29), the risk of death increased compared with patients who did not experience these AEs.ConclusionWhile the risk of severe AEs is low, patients with HFrEF can be identified who are at increased risk during treatment with an angiotensin receptor blocker. AEs are associated with excess mortality, and at-risk patients should be monitored closely.

Original languageEnglish (US)
Pages (from-to)1401-1409
Number of pages9
JournalEuropean Journal of Heart Failure
Volume14
Issue number12
DOIs
StatePublished - Dec 2012

Keywords

  • Hyperkalemia
  • Hypotension
  • Renal failure
  • Systolic dysfunction

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