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Updated: Jul 10, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Reproducibility of pulse-wave analysis and pulse-wave velocity determination in chronic kidney disease
Marie Frimodt-Møller1, Arne Høj Nielsen, Anne-Lise Kamper
1Department of Nephrology, Herlev Hospital, Herlev Ringvej 75, 2730 Herlev, Denmark. marfri01@heh.regionh.dk
Insights
Applanation tonometry for pulse-wave analysis (PWA) and pulse-wave velocity (PWV) is highly reproducible in pre-dialysis chronic kidney disease (CKD) patients. This non-invasive method is suitable for clinical trials, requiring fewer patients to detect significant hemodynamic differences.
Area of Science:
- Cardiovascular research
- Nephrology
- Biomedical engineering
Background:
- Central arterial stiffness predicts cardiovascular events in chronic kidney disease (CKD).
- Applanation tonometry is used to measure arterial stiffness indices.
Purpose of the Study:
- To assess the reproducibility of pulse-wave analysis (PWA) and pulse-wave velocity (PWV) measurements.
- To evaluate intra-observer, inter-observer, and day-to-day variability.
- To determine the suitability of applanation tonometry for clinical trials in pre-dialysis CKD patients.
Main Methods:
- 19 pre-dialysis CKD patients (stages 3-5) underwent double recordings of radial pressure waveform and aortic/brachial PWV.
- Measurements were taken using SphygmoCor software and hardware under standardized conditions.
- Two observers performed initial recordings; one observer repeated measurements within a week.
Main Results:
- High reproducibility was observed for augmentation index (AIx), subendocardial viability ratio (SEVR), aortic pulse pressure (PP), and aortic PWV.
- Inter-observer and day-to-day variations were within acceptable limits.
- Intra-observer differences also demonstrated good reproducibility.
Conclusions:
- Applanation tonometry with SphygmoCor is a highly reproducible method for assessing central hemodynamics in pre-dialysis CKD.
- Day-to-day variations align with intra- and inter-observer variability.
- The method is simple, non-invasive, and efficient for clinical trials, requiring a limited sample size.
Background:
Indices of central arterial stiffness, derived by use of applanation tonometry, have shown to be strong independent predictors of cardiovascular morbidity and mortality in patients with chronic kidney disease (CKD). The objective of this study was to evaluate the intra- and inter-observer and day-to-day reproducibility of pulse-wave analysis (PWA) and pulse-wave velocity (PWV) in pre-dialysis patients with CKD stages 3-5 using applanation tonometry with the SphygmoCor software and hardware.
Methods:
Double recordings of the radial pressure waveform and the aortic and brachial PWV were performed under standardized conditions in 19 CKD patients with a mean GFR 25.3 ml/min/1.73 m(2) (range 9.9-42.2) by two trained observers and repeated by one of the observers within a week.
Results:
The mean inter-observer and day-to-day differences (+/-2 SD) for the augmentation index (AIx) were 0.9 +/- 15.8% and 2.6 +/- 11.2%, for subendocardial viability ratio (SEVR) -0.9 +/- 15.5% and -0.4 +/- 24.7%, for aortic pulse pressure (PP) 1.4 +/- 13.3 mmHg and 0.3 +/- 20.9 mmHg and for aortic PWV 0.3 +/- 3.2 m/s and -0.7 +/- 1.9 m/s, respectively. Intra-observer differences were calculated for each of three sets of double measurements and showed good reproducibility as well. Calculations on sample size needed in a clinical trial showed a limited number of patients needed in a clinical study over time.
Conclusions:
PWA and PWV based on applanation tonometry using the SphygmoCor software and hardware are highly reproducible in pre-dialysis patients with CKD with the day-to-day variation being in accordance with the intra- and inter-observer variation. Thus, applanation tonometry using the SphygmoCor system is a simple, non-invasive method to assess central haemodynamics in clinical trials in patients with pre-dialysis CKD with only a limited number of patients needed to detect significant differences.
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