Literature DB >> 22584382

Automated photoplethysmography-based determination of ankle-brachial index: a validation study against Doppler sonography.

Frank Beutner1, Andrej Teren, Stephan Gielen, Gerhard Schuler, Kerstin Wirkner, Daniel Tiller, Markus Loeffler, Markus Scholz.   

Abstract

INTRODUCTION: Determination of ankle-brachial-index (ABI) by manual Doppler is well established to screen for lower extremity arterial disease (LEAD) and to predict cardiovascular risk. A new generation of digital-controlled devices promises automated ABI determination. The aim of this study was to determine comparability of automated photoplethysmography (PPG)-derived ABI calculation with the Doppler-ABI algorithm commonly used in cohort studies.
METHODS: Automated PPG-based ABI measurements [Vascular Explorer (VE) and Vicorder (VI)] were recorded from 112 limbs of healthy subjects and 22 limbs of patients with confirmed LEAD. Validity was evaluated on the basis of receiver-operating characteristic (ROC) analysis of clinical status and concordance with Doppler-ABI. Differences between cuff inflation [inf]- and deflation [def]-based method were studied in VE.
RESULTS: PPG-based ABI values were higher compared to Doppler-ABI (VI +0.06, VEinf +0.15, VEdef +0.09, p < 0.001, respectively). The difference was pronounced in pathological (<0.9), borderline (0.9-0.99) and low normal (1.0-1.09) ABI, but less in ABI ≥1.1. However, ROC analysis revealed excellent diagnostic value for LEAD (sensitivity/specificity) and comparable area under the curve at method-adapted ABI thresholds for all methods: Doppler (95/90 %, 0.95), VI (75/96 %, 0.91), VEinf (85/89 %, 0.93) and VEdef (80/98 %, 0.94).
CONCLUSIONS: Digital-controlled PPG-based ABI determination is a useful diagnostic application for LEAD. However, the systematic higher ABI in PPG-based measurement compared to Doppler and remarkable differences between the deflationary and inflationary method are critical for the interpretation of borderline and low normal ABI values where precise reading is essential to detect mild LEAD and subclinical disease and to predict cardiovascular risk.

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Year:  2012        PMID: 22584382     DOI: 10.1007/s00392-012-0471-z

Source DB:  PubMed          Journal:  Clin Res Cardiol        ISSN: 1861-0684            Impact factor:   5.460


  43 in total

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Authors:  Michal Tendera; Victor Aboyans; Marie-Louise Bartelink; Iris Baumgartner; Denis Clément; Jean-Philippe Collet; Alberto Cremonesi; Marco De Carlo; Raimund Erbel; F Gerry R Fowkes; Magda Heras; Serge Kownator; Erich Minar; Jan Ostergren; Don Poldermans; Vincent Riambau; Marco Roffi; Joachim Röther; Horst Sievert; Marc van Sambeek; Thomas Zeller
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2.  Peripheral arterial disease in the elderly: The Rotterdam Study.

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3.  Family history of peripheral artery disease is associated with prevalence and severity of peripheral artery disease: the San Diego population study.

Authors:  Christina L Wassel; Rohit Loomba; Joachim H Ix; Matthew A Allison; Julie O Denenberg; Michael H Criqui
Journal:  J Am Coll Cardiol       Date:  2011-09-20       Impact factor: 24.094

4.  Association of low ankle brachial index with high mortality in primary care.

Authors:  Curt Diehm; Stefan Lange; Harald Darius; David Pittrow; Berndt von Stritzky; Gerhart Tepohl; Roman L Haberl; Jens Rainer Allenberg; Burkhard Dasch; Hans Joachim Trampisch
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5.  Diagnostic utility of the two methods of ankle brachial index in the detection of peripheral arterial disease of lower extremities.

Authors:  Khusrow Niazi; Tahir H Khan; Kirk A Easley
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6.  [Diabetes, heart surgery and the peripheral arteries].

Authors:  C Diehm; H Lawall
Journal:  Clin Res Cardiol       Date:  2006-01       Impact factor: 5.460

7.  Changes in ankle brachial index in symptomatic and asymptomatic subjects in the general population.

Authors:  Felicity B Smith; Amanda J Lee; Jacqueline F Price; Marlene C W van Wijk; F Gerald R Fowkes
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8.  Randomized comparison of effects of suture-based and collagen-based vascular closure devices on post-procedural leg perfusion.

Authors:  H I M Kälsch; H Eggebrecht; S Mayringer; T Konorza; B Sievers; S Sack; R Erbel; K Kroeger
Journal:  Clin Res Cardiol       Date:  2007-09-18       Impact factor: 5.460

9.  Different calculations of ankle-brachial index and their impact on cardiovascular risk prediction.

Authors:  Christine Espinola-Klein; Hans J Rupprecht; Christoph Bickel; Karl Lackner; Savvas Savvidis; Claudia M Messow; Thomas Munzel; Stefan Blankenberg
Journal:  Circulation       Date:  2008-08-12       Impact factor: 29.690

10.  Profound influence of different methods for determination of the ankle brachial index on the prevalence estimate of peripheral arterial disease.

Authors:  Stefan F Lange; Hans-Joachim Trampisch; David Pittrow; Harald Darius; Matthias Mahn; Jens R Allenberg; Gerhart Tepohl; Roman L Haberl; Curt Diehm
Journal:  BMC Public Health       Date:  2007       Impact factor: 3.295

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1.  Hyperhomocysteinaemia is an independent risk factor for peripheral arterial disease in a Chinese Han population.

Authors:  Dan Rong; Jie Liu; Xin Jia; Daniah Al-Nafisee; Senhao Jia; Guoyi Sun; Yue Li; Weihang Lu; Haifeng Li; Hongpeng Zhang; Xiaohui Ma; Jiang Xiong; Xiaoping Liu; Raouf A Khalil; Wei Guo
Journal:  Atherosclerosis       Date:  2017-05-05       Impact factor: 5.162

2.  Assessment of the systolic rise time by photoplethysmography in peripheral arterial diseases: a comparative study with ultrasound Doppler.

Authors:  Samantha Amrani; Kornelia Eveilleau; Verena Fassbender; Hasan Obeid; Imad Abi-Nasr; Pascal Giordana; Magid Hallab; Georges Leftheriotis
Journal:  Eur Heart J Open       Date:  2022-04-28

Review 3.  Ankle brachial index for the diagnosis of lower limb peripheral arterial disease.

Authors:  Fay Crawford; Karen Welch; Alina Andras; Francesca M Chappell
Journal:  Cochrane Database Syst Rev       Date:  2016-09-14

4.  Automated plethysmographic measurement of the ankle-brachial index: a comparison with the doppler ultrasound method.

Authors:  Jane H Davies; E Mark Williams
Journal:  Hypertens Res       Date:  2015-12-03       Impact factor: 3.872

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Journal:  BMC Public Health       Date:  2015-07-22       Impact factor: 3.295

6.  Relationship Between Determinants of Arterial Stiffness Assessed by Diastolic and Suprasystolic Pulse Oscillometry: Comparison of Vicorder and Vascular Explorer.

Authors:  Andrej Teren; Frank Beutner; Kerstin Wirkner; Markus Löffler; Markus Scholz
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

7.  Predictive value of the augmentation index derived vascular age in patients with newly diagnosed atherosclerosis.

Authors:  Stefan Betge; Daniel Kretzschmar; Hans-Reiner Figulla; Michael Lichtenauer; Christian Jung
Journal:  Heart Vessels       Date:  2016-07-11       Impact factor: 2.037

8.  Validity, intra- and inter-observer reliability of automated devices for the assessment of ankle brachial index using photo-plethysmography.

Authors:  Andrej Teren; Frank Beutner; Kerstin Wirkner; Markus Loeffler; Markus Scholz
Journal:  BMC Cardiovasc Disord       Date:  2013-10-08       Impact factor: 2.298

9.  The value of noncoronary atherosclerosis for identifying coronary artery disease: results of the Leipzig LIFE Heart Study.

Authors:  Alexander Weissgerber; Markus Scholz; Andrej Teren; Marcus Sandri; Daniel Teupser; Stephan Gielen; Joachim Thiery; Gerhard Schuler; Frank Beutner
Journal:  Clin Res Cardiol       Date:  2015-09-11       Impact factor: 5.460

10.  Innovative Multi-Site Photoplethysmography Analysis for Quantifying Pulse Amplitude and Timing Variability Characteristics in Peripheral Arterial Disease.

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Journal:  Diseases       Date:  2018-09-17
  10 in total

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