Abstract

Objective: Endovascular renal denervation (DRN) is a therapeutic approach for resistant arterial hypertension (RH). The aim of this study was to assess the effects of RDN on 24h blood pressure. Design and method: A retrospective evaluation of ABPM data at baseline and after 6 months from RDN in patients undergoing DRN between 01/01/2011 and 31/12/2021 in the Arterial Hypertension Center of Turin. Mean 24h, Daytime, Nighttime BP and HR values and short term 24h, daytime and nigthtime BP and HR varability parameters (standard deviation, dipping and coefficient of variation) were calculated. Results: The series included 14 subjects, of which 8 (57%) were female and with an average age 54±10 years. The number of antihypertensive drugs before renal denervation was 5.7±1.0. At baseline office BP was 188/113±22±18 mmHg and ABPM 24h BP was 150/92±21±16 mmHg. Patients were considered as responders if a reduction of least 10 mmHg in systolic blood pressure (PAS) at 24h Blood Pressure Monitoring at six months from RDN was obtained. From a safety point of view, there were no short-term or long-term complications. The responders at six months were 66%. Non-responders showed an increased blood pressure variability compared to responders at baseline and only one was dipper. The responders had a statistically significant redution of SD24h after DRN, an increased average nocturnal blood pressure drop and a lower pressure variability. While in non-responders no redution in SDnight, SDday and coefficient of variation was found, by contrast all of them become dippers because mean daytime SBP increase. Conclusions: In conclusion, pressure variability (SD24h and coefficient of variation) is globally reduced in the denerved patients, this trend is particularly present in responders. The non-responders have an increased BP variability at baseline without decreasing after DRN. These results suggest that, when effective, DRN can reduce both BP levels and BP variability, thus may have an important effect in reducing cardiovascular risk.

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