Heart Failure and Its Management With beta-Blockade: Potential Applications of Once-Daily Therapy.
Heart failure (HF) due to left ventricular (LV) systolic dysfunction is a progressive disease beginning with a primary injury that activates compensatory cardiovascular mechanisms including varying degrees of neurohormonal activation. Within the neurohormonal cascade, activation of the sympathetic nervous system is in part responsible for ongoing myocardial injury, progressive LV remodeling, and functional deterioration eventually leading to symptomatic HF. Large randomized clinical trials of certain beta-blockers added to standard therapies have shown unequivocal benefits in patients with chronic systolic HF resulting in reduced remodeling, fewer total and cardiovascular deaths, and less risk of hospitalization for worsening HF. Evidence-based clinical guidelines recommend beta-blockers as part of the regimen for patients with systolic HF as well as LV dysfunction following myocardial infarction. Based on published clinical trial results, bisoprolol, carvedilol, and sustained-release metoprolol succinate are recommended for systolic HF. Carvedilol, propranolol, and timolol are recommended for post-myocardial infarction LV dysfunction. Unfortunately, these evidence-based therapies are often underused in actual practice. Various strategies to increase beta-blocker use in HF have been attempted, including in-hospital initiation of beta-blocker therapy. Simplifying dosing regimens may also improve adherence to prescribed medications. Use of controlled-release carvedilol may encourage better adherence in patients with LV dysfunction and help overcome at least one barrier to optimal evidence-based care. (J Clin Hypertens.2007;9(4 suppl 3):28-35).[1]References
- Heart Failure and Its Management With beta-Blockade: Potential Applications of Once-Daily Therapy. Yancy, C.W. Journal of clinical hypertension (Greenwich, Conn.) (2007) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg
