Literature DB >> 28150025

Initial Field Test of a Cloud-Based Cardiac Auscultation System to Determine Murmur Etiology in Rural China.

Lee Pyles1, Pouya Hemmati2, J Pan3, Xiaoju Yu3, Ke Liu3, Jing Wang3, Andreas Tsakistos4, Bistra Zheleva4, Weiguang Shao4, Quan Ni4.   

Abstract

A system for collection, distribution, and long distant, asynchronous interpretation of cardiac auscultation has been developed and field-tested in rural China. We initiated a proof-of-concept test as a critical component of design of a system to allow rural physicians with little experience in evaluation of congenital heart disease (CHD) to obtain assistance in diagnosis and management of children with significant heart disease. The project tested the hypothesis that acceptable screening of heart murmurs could be accomplished using a digital stethoscope and internet cloud transmittal to deliver phonocardiograms to an experienced observer. Of the 7993 children who underwent school-based screening in the Menghai District of Yunnan Province, Peoples Republic of China, 149 had a murmur noted by a screener. They had digital heart sounds and phonocardiograms collected with the HeartLink tele auscultation system, and underwent echocardiography by a cardiology resident from the First Affiliated Hospital of Kunming Medical University. The digital phonocardiograms, stored on a cloud server, were later remotely reviewed by a board-certified American pediatric cardiologist. Fourteen of these subjects were found to have CHD confirmed by echocardiogram. Using the HeartLink system, the pediatric cardiologist identified 11 of the 14 subjects with pathological murmurs, and missed three subjects with atrial septal defects, which were incorrectly identified as venous hum or Still's murmur. In addition, ten subjects were recorded as having pathological murmurs, when no CHD was confirmed by echocardiography during the field study. The overall test accuracy was 91% with 78.5% sensitivity and 92.6% specificity. This proof-of-concept study demonstrated the feasibility of differentiating pathologic murmurs due to CHD from normal functional heart murmurs with the HeartLink system. This field study is an initial step to develop a cost-effective CHD screening strategy in low-resource settings with a shortage of trained medical professionals and pediatric heart programs.

Entities:  

Keywords:  Congenital heart disease; Echocardiography; Health informatics; Internet; Phonocardiography

Mesh:

Year:  2017        PMID: 28150025     DOI: 10.1007/s00246-016-1563-8

Source DB:  PubMed          Journal:  Pediatr Cardiol        ISSN: 0172-0643            Impact factor:   1.655


  22 in total

1.  Assessing children's heart sounds at a distance with digital recordings.

Authors:  John P Finley; Andrew E Warren; Geoffrey P Sharratt; Minoli Amit
Journal:  Pediatrics       Date:  2006-12       Impact factor: 7.124

2.  A multi-institutional study using simulation to teach cardiopulmonary physical examination and diagnosis skills to physician assistant students.

Authors:  Nina Multak; Karen Newell; Sherrie Spear; Ross J Scalese; S Barry Issenberg
Journal:  J Physician Assist Educ       Date:  2015-06

3.  Screening for congenital heart diseases by murmurs using telemedical phonocardiography.

Authors:  Gabor Fodor; Ádám T Balogh; Gábor Hosszú; Ferenc Kovács
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

4.  Strategies for implementing screening for critical congenital heart disease.

Authors:  Alex R Kemper; William T Mahle; Gerard R Martin; W Carl Cooley; Praveen Kumar; W Robert Morrow; Kellie Kelm; Gail D Pearson; Jill Glidewell; Scott D Grosse; R Rodney Howell
Journal:  Pediatrics       Date:  2011-10-10       Impact factor: 7.124

5.  Congenital heart disease in 56,109 births. Incidence and natural history.

Authors:  S C Mitchell; S B Korones; H W Berendes
Journal:  Circulation       Date:  1971-03       Impact factor: 29.690

6.  Competency in cardiac examination skills in medical students, trainees, physicians, and faculty: a multicenter study.

Authors:  Jasminka M Vukanovic-Criley; Stuart Criley; Carole Marie Warde; John R Boker; Lempira Guevara-Matheus; Winthrop Hallowell Churchill; William P Nelson; John Michael Criley
Journal:  Arch Intern Med       Date:  2006-03-27

7.  Artificial neural network-based method of screening heart murmurs in children.

Authors:  C G DeGroff; S Bhatikar; J Hertzberg; R Shandas; L Valdes-Cruz; R L Mahajan
Journal:  Circulation       Date:  2001-06-05       Impact factor: 29.690

8.  Role of pulse oximetry in examining newborns for congenital heart disease: a scientific statement from the American Heart Association and American Academy of Pediatrics.

Authors:  William T Mahle; Jane W Newburger; G Paul Matherne; Frank C Smith; Tracey R Hoke; Robert Koppel; Samuel S Gidding; Robert H Beekman; Scott D Grosse
Journal:  Circulation       Date:  2009-07-06       Impact factor: 29.690

9.  Pulse oximetry screening for congenital heart defects in newborn infants (PulseOx): a test accuracy study.

Authors:  Andrew K Ewer; Lee J Middleton; Alexandra T Furmston; Abhay Bhoyar; Jane P Daniels; Shakila Thangaratinam; Jonathan J Deeks; Khalid S Khan
Journal:  Lancet       Date:  2011-08-04       Impact factor: 79.321

10.  Phono-spectrographic analysis of heart murmur in children.

Authors:  Anna-Leena Noponen; Sakari Lukkarinen; Anna Angerla; Raimo Sepponen
Journal:  BMC Pediatr       Date:  2007-06-11       Impact factor: 2.125

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  3 in total

Review 1.  Deliver Cardiac Virtual Care: A Primer for Cardiovascular Professionals in Canada.

Authors:  Jeffrey Lam; Kamran Ahmad; Kenneth Gin; Chi-Ming Chow
Journal:  CJC Open       Date:  2021-10-09

Review 2.  Telecardiology in Rural Practice: Global Trends.

Authors:  Takashi Yamano; Kazuhiko Kotani; Naomi Kitano; Junko Morimoto; Hiroki Emori; Masahiro Takahata; Suwako Fujita; Teruaki Wada; Shingo Ota; Keisuke Satogami; Manabu Kashiwagi; Yasutsugu Shiono; Akio Kuroi; Takashi Tanimoto; Atsushi Tanaka
Journal:  Int J Environ Res Public Health       Date:  2022-04-04       Impact factor: 3.390

3.  Automated identification of innocent Still's murmur using a convolutional neural network.

Authors:  Raj Shekhar; Ganesh Vanama; Titus John; James Issac; Youness Arjoune; Robin W Doroshow
Journal:  Front Pediatr       Date:  2022-09-21       Impact factor: 3.569

  3 in total

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