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1.
Drugs ; 75(12): 1349-71, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26177892

ABSTRACT

Nebivolol is a highly selective ß1-adrenergic receptor antagonist with a pharmacologic profile that differs from those of other drugs in its class. In addition to cardioselectivity mediated via ß1 receptor blockade, nebivolol induces nitric oxide-mediated vasodilation by stimulating endothelial nitric oxide synthase via ß3 agonism. This vasodilatory mechanism is distinct from those of other vasodilatory ß-blockers (carvedilol, labetalol), which are mediated via α-adrenergic receptor blockade. Nebivolol is approved for the treatment of hypertension in the US, and for hypertension and heart failure in Europe. While ß-blockers are not recommended within the current US guidelines as first-line therapy for treatment of essential hypertension, nebivolol has shown comparable efficacy to currently recommended therapies in lowering peripheral blood pressure in adults with hypertension with a very low rate of side effects. Nebivolol also has beneficial effects on central blood pressure compared with other ß-blockers. Clinical data also suggest that nebivolol may be useful in patients who have experienced erectile dysfunction while on other ß-blockers. Here we review the pharmacological profile of nebivolol, the clinical evidence supporting its use in hypertension as monotherapy, add-on, and combination therapy, and the data demonstrating its positive effects on heart failure and endothelial dysfunction.


Subject(s)
Adrenergic beta-1 Receptor Agonists/therapeutic use , Antihypertensive Agents/therapeutic use , Heart Failure/drug therapy , Hypertension/drug therapy , Nebivolol/therapeutic use , Vasodilator Agents/therapeutic use , Adrenergic beta-1 Receptor Agonists/adverse effects , Adrenergic beta-1 Receptor Agonists/economics , Adrenergic beta-1 Receptor Agonists/pharmacokinetics , Animals , Antihypertensive Agents/adverse effects , Antihypertensive Agents/economics , Antihypertensive Agents/pharmacokinetics , Blood Pressure/drug effects , Cost-Benefit Analysis , Drug Costs , Drug Therapy, Combination , Heart Failure/diagnosis , Heart Failure/economics , Heart Failure/physiopathology , Humans , Hypertension/diagnosis , Hypertension/economics , Hypertension/physiopathology , Nebivolol/adverse effects , Nebivolol/economics , Nebivolol/pharmacokinetics , Treatment Outcome , Vasodilator Agents/adverse effects , Vasodilator Agents/economics , Vasodilator Agents/pharmacokinetics
2.
Trials ; 14: 205, 2013 Jul 09.
Article in English | MEDLINE | ID: mdl-23837606

ABSTRACT

BACKGROUND: A randomized, controlled trial, intended to include 460 patients, is currently studying peroperative goal-directed hemodynamic treatment (GDHT) of aged hip-fracture patients. Interim efficacy analysis performed on the first 100 patients was statistically uncertain; thus, the trial is continuing in accordance with the trial protocol. This raised the present investigation's main question: Is it reasonable to continue to fund the trial to decrease uncertainty? To answer this question, a previously developed probabilistic cost-effectiveness model was used. That model depicts (1) a choice between routine fluid treatment and GDHT, given uncertainty of current evidence and (2) the monetary value of further data collection to decrease uncertainty. This monetary value, that is, the expected value of perfect information (EVPI), could be used to compare future research costs. Thus, the primary aim of the present investigation was to analyze EVPI of an ongoing trial with interim efficacy observed. METHODS: A previously developed probabilistic decision analytic cost-effectiveness model was employed to compare the routine fluid treatment to GDHT. Results from the interim analysis, published trials, the meta-analysis, and the registry data were used as model inputs. EVPI was predicted using (1) combined uncertainty of model inputs; (2) threshold value of society's willingness to pay for one, quality-adjusted life-year; and (3) estimated number of future patients exposed to choice between GDHT and routine fluid treatment during the expected lifetime of GDHT. RESULTS: If a decision to use GDHT were based on cost-effectiveness, then the decision would have a substantial degree of uncertainty. Assuming a 5-year lifetime of GDHT in clinical practice, the number of patients who would be subject to future decisions was 30,400. EVPI per patient would be €204 at a €20,000 threshold value of society's willingness to pay for one quality-adjusted life-year. Given a future population of 30,400 individuals, total EVPI would be €6.19 million. CONCLUSIONS: If future trial costs are below EVPI, further data collection is potentially cost-effective. When applying a cost-effectiveness model, statements such as 'further research is needed' are replaced with 'further research is cost-effective and 'further funding of a trial is justified'. TRIAL REGISTRATION: ClinicalTrials.gov NCT01141894.


Subject(s)
Adrenergic beta-1 Receptor Agonists/administration & dosage , Aging , Dobutamine/administration & dosage , Fluid Therapy , Fracture Fixation/adverse effects , Hemodynamics/drug effects , Hip Fractures/surgery , Postoperative Complications/prevention & control , Adrenergic beta-1 Receptor Agonists/adverse effects , Adrenergic beta-1 Receptor Agonists/economics , Age Factors , Aged , Aged, 80 and over , Cost-Benefit Analysis , Data Interpretation, Statistical , Decision Support Techniques , Decision Trees , Dobutamine/adverse effects , Dobutamine/economics , Drug Costs , Female , Fluid Therapy/adverse effects , Fluid Therapy/economics , Fluid Therapy/mortality , Fracture Fixation/economics , Fracture Fixation/mortality , Hip Fractures/diagnosis , Hip Fractures/economics , Hip Fractures/mortality , Hip Fractures/physiopathology , Hospital Costs , Humans , Male , Markov Chains , Postoperative Complications/economics , Postoperative Complications/mortality , Postoperative Complications/physiopathology , Probability , Quality of Life , Quality-Adjusted Life Years , Research Design , Risk Assessment , Risk Factors , Sweden , Time Factors , Treatment Outcome , Uncertainty
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