Literature DB >> 23290309

Utility of an advanced digital electronic stethoscope in the diagnosis of coronary artery disease compared with coronary computed tomographic angiography.

Amgad N Makaryus1, John N Makaryus, Alan Figgatt, Dan Mulholland, Harvey Kushner, John L Semmlow, Jennifer Mieres, Allen J Taylor.   

Abstract

The detection of coronary artery microbruits, subaudible bruits too faint to be heard through standard auscultation, may provide an alternative means to diagnose coronary artery disease (CAD). The aim of this study was to test the accuracy of a novel digital electronic stethoscope, the Cardiac Sonospectrographic Analyzer (CSA; SonoMedica model 3.0, SonoMedica, Inc., Vienna, Virginia, United States Food and Drug Administration 510[k] cleared) to diagnose CAD compared to gold-standard diagnosis using cardiac computed tomographic (CT) angiography. In this blinded, single-site study, adults previously referred for CT imaging were selected. Patients underwent CT and CSA evaluations. CSA exams entailed recording heart sounds at 9 positions on the chest for 40 seconds at each position. An algorithm then processed these data to generate a microbruit score. The CT scans were read blinded to patients' microbruit scores. Sensitivity and specificity of the CSA in detecting CAD compared to CT imaging were estimated using standard receiver-operating characteristic curves calculated from logistic regression models. A total of 161 patients, aged 57 ± 13 years (range 22 to 85), 53% with hypertension and 40% with obesity (body mass index ≥30 kg/m(2)), completed the protocol and had evaluable CT and CSA examinations. The overall sensitivity of the CSA to identify >50% stenosis in any major epicardial coronary artery as determined by CT imaging was 89.5% (p <0.0001). Gender-specific models based on smaller sample sizes had slightly poorer results and lower specificity among men with heavy chest hair. In conclusion, the CSA showed high sensitivity and specificity for the detection of significant early CAD in an outpatient setting and represents a new noninvasive device for detecting abnormal coronary blood flow as occurs in CAD.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23290309     DOI: 10.1016/j.amjcard.2012.11.039

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  11 in total

1.  The clinical evaluation of the CADence device in the acoustic detection of coronary artery disease.

Authors:  Joseph L Thomas; Michael Ridner; Jason H Cole; Jeffrey W Chambers; Sabahat Bokhari; Demetris Yannopoulos; Morton Kern; Robert F Wilson; Matthew J Budoff
Journal:  Int J Cardiovasc Imaging       Date:  2018-06-23       Impact factor: 2.357

Review 2.  A novel approach to diagnosing coronary artery disease: acoustic detection of coronary turbulence.

Authors:  Joseph L Thomas; Simon Winther; Robert F Wilson; Morten Bøttcher
Journal:  Int J Cardiovasc Imaging       Date:  2016-08-31       Impact factor: 2.357

3.  Effect of stenosis shape on the sound emitted from a constricted blood vessel.

Authors:  Kamil Ozden; Cuneyt Sert; Yigit Yazicioglu
Journal:  Med Biol Eng Comput       Date:  2020-01-14       Impact factor: 2.602

4.  Electronic Stethoscope Filtering Mimics the Perceived Sound Characteristics of Acoustic Stethoscope.

Authors:  Valerie Rennoll; Ian McLane; Dimitra Emmanouilidou; James West; Mounya Elhilali
Journal:  IEEE J Biomed Health Inform       Date:  2021-05-11       Impact factor: 5.772

5.  Diagnostic performance of an acoustic-based system for coronary artery disease risk stratification.

Authors:  Simon Winther; Louise Nissen; Samuel Emil Schmidt; Jelmer Sybren Westra; Laust Dupont Rasmussen; Lars Lyhne Knudsen; Lene Helleskov Madsen; Jane Kirk Johansen; Bjarke Skogstad Larsen; Johannes Jan Struijk; Lars Frost; Niels Ramsing Holm; Evald Høj Christiansen; Hans Erik Botker; Morten Bøttcher
Journal:  Heart       Date:  2017-11-09       Impact factor: 5.994

6.  Coronary artery disease risk reclassification by a new acoustic-based score.

Authors:  S E Schmidt; S Winther; B S Larsen; M H Groenhoej; L Nissen; J Westra; L Frost; N R Holm; H Mickley; F H Steffensen; J Lambrechtsen; M S Nørskov; J J Struijk; A C P Diederichsen; M Boettcher
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-04       Impact factor: 2.357

7.  Improvement of the Accuracy in the Identification of Coronary Artery Disease Combining Heart Sound Features.

Authors:  Haixia Li; Guojun Zhang; Guicheng Shao; Aizhen Wang; Yarong Gu; Zhumei Tian; Qiong Zhang; Pengcheng Shi
Journal:  Biomed Res Int       Date:  2022-02-23       Impact factor: 3.411

8.  Diagnosing coronary artery disease by sound analysis from coronary stenosis induced turbulent blood flow: diagnostic performance in patients with stable angina pectoris.

Authors:  Simon Winther; Samuel Emil Schmidt; Niels Ramsing Holm; Egon Toft; Johannes Jan Struijk; Hans Erik Bøtker; Morten Bøttcher
Journal:  Int J Cardiovasc Imaging       Date:  2015-09-03       Impact factor: 2.357

Review 9.  Digital stethoscope: technology update.

Authors:  Supreeya Swarup; Amgad N Makaryus
Journal:  Med Devices (Auckl)       Date:  2018-01-04

10.  Spectral Decomposition and Sound Source Localization of Highly Disturbed Flow through a Severe Arterial Stenosis.

Authors:  Fardin Khalili; Peshala T Gamage; Amirtahà Taebi; Mark E Johnson; Randal B Roberts; John Mitchel
Journal:  Bioengineering (Basel)       Date:  2021-03-04
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