Automated oscillometry-based ABI (VascAssist) demonstrated 73% sensitivity and 100% specificity for detecting PAD, compared to 80% and 96% for standard manual Doppler-based ABI.
Observational (n=110)
Does automated oscillometric ABI and PWV assessment accurately detect peripheral arterial disease compared to standard manual Doppler ABI?
Automated oscillometric ABI and PWV acquisition provides excellent diagnostic accuracy for detecting peripheral arterial disease, comparable to standard manual Doppler ABI, and may serve as an investigator-independent screening tool.
Absolute Event Rate: 73% vs 80%
OBJECTIVE: Evaluation of diagnostic accuracy of an oscillometry-based device (VascAssist) combining fully automated ankle-brachial index (ABI) and pulse-wave velocity (PWV) assessment for detection of peripheral arterial disease (PAD). SUBJECTS AND METHODS: 110 consecutive subjects including symptomatic PAD patients (n = 41) and healthy PAD-free participants (n = 69) were recruited. All subjects underwent standard manual Doppler-based ABI (sABI) and oscillometry-based automated ABI (aABI) measurements (VascAssist). Oscillometry by the VascAssist included central and peripheral PWV assessment. Additionally, arterial stiffness (AS) was evaluated by flow-mediated vasodilation (FMD) of the brachial artery in all patients. All symptomatic PAD patients underwent catheter angiography for endovascular intervention and post-interventional acquisition of sABI, aABI, PWV and FMD. RESULTS: Sensitivity, specificity, PPV and NPV of aABI for detecting PAD was 73%, 100%, 100%, and 86% as compared to 80%, 96%, 92%, and 89% for sABI. Pearson-correlation for diabetics was r = 0.81; (P < .001) and for non-diabetics r = 0.77; (P < .001). Bland-Altman-analysis revealed a difference (95% CI) for diabetics of 0.09 (-0.22-0.4] and non-diabetics 0.022 -0.25-0.295. Weak correlation exists for FMD/AS analysis (pre-interventional R = 0.386, P = .043; post-interventional R = -0.06; P = .76) and significant increase of pre-/post-interventional PWV analysis (P < .001). CONCLUSION: Combined automatic ABI and PWV acquisition with the VascAssist device showed excellent diagnostic accuracy for detection of PAD. Compared to FMD, AS analysis may serve as an investigator-independent (screening) tool for determination of functional vascular damage in atherosclerosis.
Maßmann et al. (Mon,) conducted a observational in Peripheral arterial disease (PAD) (n=110). Automated oscillometry-based ABI and PWV assessment (VascAssist) vs. Standard manual Doppler-based ABI (sABI) was evaluated on Sensitivity for detecting PAD. Automated oscillometry-based ABI (VascAssist) demonstrated 73% sensitivity and 100% specificity for detecting PAD, compared to 80% and 96% for standard manual Doppler-based ABI.