Diagnosis and management of resistant hypertension: state of the art.

Details

Serval ID
serval:BIB_ED5C639B9529
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Diagnosis and management of resistant hypertension: state of the art.
Journal
Nature reviews. Nephrology
Author(s)
Wei F.F., Zhang Z.Y., Huang Q.F., Staessen J.A.
ISSN
1759-507X (Electronic)
ISSN-L
1759-5061
Publication state
Published
Issued date
07/2018
Peer-reviewed
Oui
Volume
14
Number
7
Pages
428-441
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
Resistant hypertension is defined as a lack of ambulatory blood pressure response to optimized medical treatment after exclusion of secondary hypertension in patients who are fully adherent to antihypertensive therapy. Patients with resistant hypertension are at high risk of complications, particularly cardiovascular events, and optimization of medical treatment remains the cornerstone of their management. Such optimization should be based on simple algorithms and include the use of aldosterone antagonists. The available data from clinical trials do not support the use of device-based approaches such as renal denervation, baroreflex activation therapy or arteriovenous anastomosis for the treatment of resistant hypertension in the majority of patients. Therefore, device treatment remains a last-resort for patients with truly resistant hypertension in the context of clinical research in highly skilled tertiary referral centres. Future research should focus on improving understanding of the intrinsic (physiological and psychological factors) and extrinsic (environmental stressors) mechanisms that contribute to a lack of response to blood-pressure-lowering drugs in adherent patients. The use of biomarkers to identify patients with early target organ damage and new technologies, such as renal nerve stimulation, to predict blood pressure responses to renal denervation could aid the selection of patients who might benefit from device therapies.
Pubmed
Web of science
Create date
03/05/2018 18:00
Last modification date
20/08/2019 16:15
Usage data