Literature DB >> 26556567

Predictors of response to renal denervation for resistant arterial hypertension: a single center experience.

Miklos Rohla1, Alexander Nahler, Thomas Lambert, Christian Reiter, Verena Gammer, Michael Grund, Hermann Blessberger, Jürgen Kammler, Alexander Kypta, Karim Saleh, Kurt Huber, Clemens Steinwender, Thomas W Weiss.   

Abstract

BACKGROUND: Renal denervation (RDN) has been shown to reduce blood pressure in patients with resistant arterial hypertension (RAH). We aimed to investigate predictors for response to RDN.
METHODS: Patients suffering from RAH underwent RDN after exclusion of secondary causes of hypertension. Ambulatory blood pressure measurement (ABPM) for 24 h was performed at baseline, 6 and 12 months after RDN. Response was defined as a at least 5 mmHg 24 h SBP drop at 6 months. A linear regression model was used to analyze an association between baseline variables and response to RDN.
RESULTS: In total, 45.6% of patients were responders to RDN. In those, there was a significant reduction in ABPM values at 6 and 12 months (12 months: 24 h SBP: -17.2 ± 9.0 mmHg, P < 0.01; 24 h DBP: -9.0 ± 11.6 mmHg, P < 0.01). Per 10 mmHg increase in baseline 24 h SBP, there was a 5.5 mmHg 24 h SBP reduction at 6 months. Per kg/m increase in BMI, 24 h SBP increased by 0.7 mmHg at 6 months. Per increment in antihypertensive drugs used at baseline, there was a 2.7 mmHg 24 h SBP reduction at 6 months.
CONCLUSION: Out of a wide range of baseline variables, elevated systolic ABPM values, BMI and the number of antihypertensive drugs used were associated with response. One has to consider the Hawthorne effect, the regression to the mean phenomenon, the actual effect of sympathetic denervation and the interaction of therapy modification when interpreting data from RDN registries without a control arm.

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Year:  2016        PMID: 26556567     DOI: 10.1097/HJH.0000000000000764

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  8 in total

Review 1.  Can we predict the blood pressure response to renal denervation?

Authors:  Gregory D Fink; Jeremiah T Phelps
Journal:  Auton Neurosci       Date:  2016-07-30       Impact factor: 3.145

Review 2.  Patient Selection for Renal Denervation in Hypertensive Patients: What Makes a Good Candidate?

Authors:  Sheran Li; Jacqueline K Phillips
Journal:  Vasc Health Risk Manag       Date:  2022-05-13

Review 3.  Controversies Surrounding Renal Denervation: Lessons Learned From Real-World Experience in Two United Kingdom Centers.

Authors:  Amy E Burchell; Kenneth Chan; Laura E K Ratcliffe; Emma C Hart; Manish Saxena; David J Collier; Ajay K Jain; Anthony Mathur; Charles J Knight; Mark J Caulfield; Julian F R Paton; Angus K Nightingale; Melvin D Lobo; Andreas Baumbach
Journal:  J Clin Hypertens (Greenwich)       Date:  2016-02-09       Impact factor: 3.738

4.  Impact evaluation of a community-based intervention for prevention of cardiovascular diseases in the slums of Nairobi: the SCALE-UP study.

Authors:  Steven van de Vijver; Samuel Oji Oti; Gabriela B Gomez; Charles Agyemang; Thaddaeus Egondi; Eric Moll van Charante; Lizzy M Brewster; Catherine Hankins; Zlata Tanovic; Alex Ezeh; Catherine Kyobutungi; Karien Stronks
Journal:  Glob Health Action       Date:  2016-03-24       Impact factor: 2.640

Review 5.  Present Evidence of Determinants to Predict the Efficacy of Renal Denervation.

Authors:  Hao Zhou; Yanping Xu; Weijie Chen; Liang Wang; Huaan Du; Hang Liu; Zhiyu Ling; Yuehui Yin
Journal:  Int J Hypertens       Date:  2022-08-12       Impact factor: 2.434

6.  Blood pressure response to catheter-based renal sympathetic denervation in severe resistant hypertension: data from the Greek Renal Denervation Registry.

Authors:  C Tsioufis; A Ziakas; K Dimitriadis; P Davlouros; M Marketou; A Kasiakogias; C Thomopoulos; D Petroglou; D Tsiachris; M Doumas; E Skalidis; C Karvounis; D Alexopoulos; P Vardas; I Kallikazaros; C Stefanadis; V Papademetriou; D Tousoulis
Journal:  Clin Res Cardiol       Date:  2016-12-12       Impact factor: 5.460

7.  Predictors for success in renal denervation-a single centre retrospective analysis.

Authors:  Alexander Reshetnik; Christopher Gohlisch; Christian Scheurig-Münkler; Maximilian De Bucourt; Walter Zidek; Markus Tölle; Markus van der Giet
Journal:  Sci Rep       Date:  2018-10-19       Impact factor: 4.379

8.  Predictors of blood pressure response to ultrasound renal denervation in the RADIANCE-HTN SOLO study.

Authors:  Manish Saxena; Roland E Schmieder; Ajay J Kirtane; Felix Mahfoud; Joost Daemen; Jan Basile; Philipp Lurz; Philippe Gosse; Kintur Sanghvi; Naomi D L Fisher; Lars C Rump; Atul Pathak; Peter J Blankestijn; Anthony Mathur; Yale Wang; Michael A Weber; Andrew S P Sharp; Michael J Bloch; Neil C Barman; Lisa Claude; Yang Song; Michel Azizi; Melvin D Lobo
Journal:  J Hum Hypertens       Date:  2021-05-24       Impact factor: 2.877

  8 in total

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