PubMed Health⌕ Search

PubMed · 7046065

Clonidine hydrochloride.

Abstract

Clonidine hydrochloride (Catapres), a potent antihypertensive agent, has been in clinical use since 1974 in the United States. Clonidine, an alpha-adrenergic receptor agonist, stimulates central alpha receptors in the depressor site of the vasomotor center of the medulla oblongata and hypothalamus, which diminishes efferent sympathetic tone to the heart, kidneys, and peripheral vasculature with a concomitant increase in vagal activity. Hemodynamic and renal effects include reduction in supine and erect blood pressure, heart rate, total peripheral resistance, plasma renin activity, and urinary aldosterone and catecholamine excretion, with little effect on resting cardiac output, response to exercise, and preservation of renal function. Clonidine alone produces a significant reduction in mean arterial pressure in all degrees of hypertension during acute and chronic administration, with little or no tendency toward tolerance or postural hypotension. Its antihypertensive potency is enhanced with the concomitant use of a diuretic or vasodilator, and it may be used in place of a beta blocker with equal efficacy in the diuretic plus vasodilator combination. Serious adverse effects are uncommon, with more than 93% of patients tolerating the drug well. Sedation and dry mouth, the most common adverse effects, are usually related to dose and duration and are minimized by gradually increasing the dose and by taking the major portion of the twice-daily schedule at bedtime. Clonidine may be safely given to patients with congestive heart failure, ischemic heart disease, obstructive lung disease, chronic renal insufficiency, and diabetes mellitus. Clonidine is one of the most versatile and effective agents presently available for the treatment of hypertension.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M C Houston. 1982. Clonidine hydrochloride.. https://doi.org/10.1097/00007611-198206000-00022

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↗