OBJECTIVE: Evaluation of diagnostic accuracy of an oscillometry-based device (VascAssist) combining fully automated ankle-brachial index (ABI) and pulse-wave velocity ( @entity122 ) assessment for detection of @entity3657 ( @entity3657 ). SUBJECTS AND METHODS: 110 consecutive subjects including symptomatic @entity3657 @entity1 (n   =   41) and healthy @entity3657 -free @entity1 (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 @entity122 assessment. Additionally, @entity432 ( @entity432 ) was evaluated by @entity450 ( @entity450 ) of the brachial artery in all @entity1 . All symptomatic @entity3657 @entity1 underwent catheter angiography for endovascular intervention and post-interventional acquisition of sABI, aABI, @entity122 and @entity450 . RESULTS: Sensitivity, specificity, @entity2286 and NPV of aABI for detecting @entity3657 was 73%, 100%, 100%, and 86% as compared to 80%, 96%, 92%, and 89% for sABI. Pearson-correlation for @entity6 was r   =   0.81; (P   <   .001) and for non- @entity6 r   =   0.77; (P   <   .001). Bland-Altman-analysis revealed a difference (95% CI) for @entity6 of 0.09 (-0.22-0.4] and non- @entity6 0.022 [-0.25-0.295]. Weak correlation exists for @entity450 / @entity432 analysis (pre-interventional R   =   0.386, P   =   .043; post-interventional R   =   -0.06; P   =   .76) and significant increase of pre-/post-interventional @entity122 analysis (P   <   .001). CONCLUSION: Combined automatic ABI and @entity122 acquisition with the VascAssist device showed excellent diagnostic accuracy for detection of @entity3657 . Compared to @entity450 , @entity432 analysis may serve as an investigator-independent (screening) tool for determination of functional @entity1504 in @entity731 .

Automated oscillometric blood pressure and pulse-wave acquisition for evaluation of vascular stiffness in XXXX .

@entity1 :: ('9606', 'Species') :: ['participants', 'patients'] @entity3657 :: ('MESH:D058729', 'Disease') :: ['PAD', 'peripheral arterial disease'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetics'] @entity2286 :: ('12211', 'Species') :: ['PPV'] @entity450 :: ('MESH:D006940', 'Disease') :: ['flow-mediated vasodilation', 'FMD'] @entity1504 :: ('MESH:D002561', 'Disease') :: ['vascular damage'] @entity432 :: ('MESH:D001157', 'Disease') :: ['arterial stiffness', 'AS'] @entity731 :: ('MESH:D050197', 'Disease') :: ['atherosclerosis'] @entity122 :: ('31732', 'Species') :: ['PWV']
@entity731 :: (MESH:D050197,Disease) :: ['atherosclerosis']
