Yahoo Search Búsqueda en la Web

Resultado de búsqueda

  1. 30 de nov. de 2015 · β-Blockers are less effective in reducing central than peripheral systolic blood pressure. This effect is less pronounced with vasodilating than with nonvasodilating β-blockers, although the difference is mostly explained by a lower reduction in heart rate with the former.

  2. 22 de abr. de 2015 · Vasodilators have been shown to be of particular benefit in both blood pressure control and other cardiometabolic components with limited disturbance in metabolic parameters. Nebivolol, a third-generation beta-blocker (BB), acts by increasing nitric oxide (NO) bioavailability.

  3. 9 de jun. de 2021 · Nebivolol, a third-generation β-blocker, has additional vasodilator actions, related to enhanced release of NO in the vascular wall, compared with bisoprolol, a second-generation agent. The additional NO-releasing effect of nebivolol may underlie reports of improvements in erectile function in patients receiving this agent.

  4. Vasodilators have been shown to be of particular benefit in both blood pressure control and other cardiometabolic components with limited disturbance in metabolic parameters. Nebivolol, a third-generation beta-blocker (BB), acts by increasing nitric oxide (NO) bioavailability.

  5. The newer generation of β-blockers, namely carvedilol and nebivolol, is changing the manner in which β-blockers are viewed in hypertension management. Their ability to inhibit A1 adrenoreceptors and influence nitric oxide leads to vasodilation, which traditional β-blockers fail to do.

  6. Their favorable hemodynamic profile includes reduction of peripheral vascular resistance (PVR) while maintaining or improving cardiac output (CO), stroke volume, and left ventricular function, whereas nonvasodilating beta-blockers tend to raise PVR and reduce CO and left ventricular function.

  7. In each database, comparative effectiveness of β-blockers for the risks of acute myocardial infarction, stroke, and hospitalization for heart failure was assessed, using large-scale propensity adjustment and empirical calibration. Estimates were combined across databases using random-effects meta-analyses.