PubMed Health⌕ Search

PubMed · 17151696

Erectile dysfunction and hypertension.

Abstract

Recent analyses suggest that about 67-68% of men with hypertension have some degree of erectile dysfunction (ED). With about 25 million men in the US with hypertension, substantial numbers of hypertension-related ED exist that tend to be of a more severe nature than the general population. Men with ED are also more likely to have hypertension. Thiazide diuretic and beta-blocker therapy may contribute to ED. Phosphodiesterase-5 (PDE5) inhibitors are effective therapy in men with ED owing to hypertension who are taking antihypertensive medicines including those on multiple antihypertensive medicines. The addition of PDE5 inhibitors to usual common antihypertensive medicines (diuretics, beta blockers, calcium blockers, angiotensin converting enzyme inhibitors and angiotensin receptor blockers) results in either no or small additive reductions in blood pressure (BP) and no increase in serious clinical adverse events. There are however precautions regarding the use of PDE5 inhibitors in patients taking alpha blockers for either hypertension or benign prostatic hypertrophy, as some patients may develop orthostatic hypotension. Organic nitrates remain an absolute contraindication for PDE5 inhibitors because synergistic and symptomatic reductions in BP may occur in some patients with this drug combination.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

R Kloner. 2006-12-07. Erectile dysfunction and hypertension.. https://doi.org/10.1038/sj.ijir.3901527

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Tree-structured gatekeeping tests in clinical trials with hierarchically ordered multiple objectives.

This paper discusses a new class of multiple testing procedures, tree-structured gatekeeping procedures, with clinical trial applications. These procedures arise in clinical trials with hierarchically ordered multiple objectives, for example, in the context of multiple dose-control tests with logical restrictions or analysis of multiple endpoints. The proposed approach is based on the principle of closed testing and generalizes the serial and parallel gatekeeping approaches developed by Westfall and Krishen (J. Statist. Planning Infer. 2001; 99:25-41) and Dmitrienko et al. (Statist. Med. 2003; 22:2387-2400). The proposed testing methodology is illustrated using a clinical trial with multiple endpoints (primary, secondary and tertiary) and multiple objectives (superiority and non-inferiority testing) as well as a dose-finding trial with multiple endpoints.

Antihypertensive Agents↗

Bayesian analysis of latent variable models with non-ignorable missing outcomes from exponential family.

To provide a comprehensive framework for analysing complex non-normal medical and biological data, we propose a Bayesian approach for a non-linear latent variable model with covariates, and non-ignorable missing data, under the exponential family of distributions. The non-ignorable missing mechanism is defined via a logistic regression model. Based on conjugate prior distributions, full conditional distributions for the implementation of Markov chain Monte Carlo methods in simulating observations from the joint posterior distribution are derived. These observations are used in computing the Bayesian estimates, as well as in implementing a path sampling procedure to evaluate the Bayes factor for model comparison. The proposed methods are illustrated using real data from a study on the non-adherence of hypertension patients.

Antihypertensive Agents↗

Revisiting the relation between change and initial value: a review and evaluation.

The relation between initial disease status and subsequent change following treatment has attracted great interest in clinical research. However, statisticians have repeatedly warned against correlating/regressing change with baseline due to two methodological concerns known as mathematical coupling and regression to the mean. Oldham's method and Blomqvist's formula are the two most often adopted methods to rectify these problems. The aims of this article are to review briefly the proposed solutions in the statistical and psychological literature, and to clarify the popular misconception that Blomqvist's formula is superior to Oldham's method. We argue that this misconception is due to a failure to recognize that the heterogeneity of individual responses to treatment is a source of regression to the mean in the analysis of the relation between change and initial value. Furthermore, we demonstrate how each method actually answers different research questions, and how confusion arises when this is not always understood.

Antihypertensive Agents↗