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Automated Noninvasive Central Blood Pressure Measurements by Oscillometric Radial Pulse Wave Analysis: Results of the MEASURE-cBP Validation Studies.

Authors :
Trinkmann, Frederik
Benck, Urs
Halder, Julian
Semmelweis, Alexandra
Saur, Joachim
Borggrefe, Martin
Akin, Ibrahim
Kaden, Jens J
Source :
American Journal of Hypertension; Apr2021, Vol. 34 Issue 4, p383-393, 11p
Publication Year :
2021

Abstract

Background Central blood pressure becomes increasingly accepted as an important diagnostic and therapeutic parameter. Accuracy of widespread applanation tonometry can be affected by calibration and operator training. To overcome this, we aimed to evaluate novel VascAssist 2 using automated oscillometric radial pulse wave analysis and a refined multi-compartment model of the arterial tree. Methods Two hundred and twenty-five patients were prospectively enrolled. Invasive aortic root measurements served as reference in MEASURE-cBP 1 (n = 106) whereas applanation tonometry (SphygmoCor) was used in MEASURE-cBP 2 (n = 119). Results In MEASURE-cBP 1, we found a mean overestimation for systolic values of 4 ± 12 mmHg (3 ± 10%) and 6 ± 10 mmHg (9 ± 14%) for diastolic values. Diabetes mellitus and low blood pressure were associated with larger variation. In MEASURE-cBP 2, mean overestimation of systolic values was 4 ± 4 mmHg (4 ± 4%) and 1 ± 4 mmHg (1 ± 7%) of diastolic values. Arrhythmia was significantly more frequent in invalid measurements (61 vs. 18%, P < 0.0001) which were most often due to a low quality index of SphygmoCor. Conclusions Central blood pressure estimates using VascAssist 2 can be considered at least as accurate as available techniques, even including diabetic patients. In direct comparison, automated measurement considerably facilitates application not requiring operator training and can be reliably applied even in patients with arrhythmias. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08957061
Volume :
34
Issue :
4
Database :
Complementary Index
Journal :
American Journal of Hypertension
Publication Type :
Academic Journal
Accession number :
149971717
Full Text :
https://doi.org/10.1093/ajh/hpaa174