Literature DB >> 26786141

Computer-aided auscultation of murmurs in children: evaluation of commercially available software.

Cecilia Lee1, Kathryn N Rankin2, Kevin J Zuo1, Andrew S Mackie1.   

Abstract

BACKGROUND: Heart murmurs are common in children and may represent congenital or acquired cardiac pathology. Auscultation is challenging and many primary-care physicians lack the skill to differentiate innocent from pathologic murmurs. We sought to determine whether computer-aided auscultation (CardioscanTM) identifies which children require referral to a cardiologist.
METHODS: We consecutively enrolled children aged between 0 and 17 years with a murmur, innocent or pathologic, being evaluated in a tertiary-care cardiology clinic. Children being evaluated for the first time and patients with known cardiac pathology were eligible. We excluded children who had undergone cardiac surgery previously or were unable to sit still for auscultation. CardioscanTM auscultation was performed in a quiet room with the subject in the supine position. The sensitivity and specificity of a potentially pathologic murmur designation by CardioscanTM - that is, requiring referral - was determined using echocardiography as the reference standard.
RESULTS: We enrolled 126 subjects (44% female) with a median age of 1.7 years, with 93 (74%) having cardiac pathology. The sensitivity and specificity of a potentially pathologic murmur determination by CardioscanTM for identification of cardiac pathology were 83.9 and 30.3%, respectively, versus 75.0 and 71.4%, respectively, when limited to subjects with a heart rate of 50-120 beats per minute. The combination of a CardioscanTM potentially pathologic murmur designation or an abnormal electrocardiogram improved sensitivity to 93.5%, with no haemodynamically significant lesions missed.
CONCLUSIONS: Sensitivity of CardioscanTM when interpreted in conjunction with an abnormal electrocardiogram was high, although specificity was poor. Re-evaluation of computer-aided auscultation will remain necessary as advances in this technology become available.

Entities:  

Keywords:  Heart murmur; auscultation; children; computer analysis; sensitivity; specificity

Mesh:

Year:  2016        PMID: 26786141     DOI: 10.1017/S1047951115002656

Source DB:  PubMed          Journal:  Cardiol Young        ISSN: 1047-9511            Impact factor:   1.093


  3 in total

1.  Auscultation While Standing: A Basic and Reliable Method to Rule Out a Pathologic Heart Murmur in Children.

Authors:  Bruno Lefort; Elodie Cheyssac; Nathalie Soulé; Jacques Poinsot; Marie-Catherine Vaillant; Alaeddin Nassimi; Alain Chantepie
Journal:  Ann Fam Med       Date:  2017-11       Impact factor: 5.166

2.  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.  Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods.

Authors:  Manuel A Soto-Murillo; Jorge I Galván-Tejada; Carlos E Galván-Tejada; Jose M Celaya-Padilla; Huizilopoztli Luna-García; Rafael Magallanes-Quintanar; Tania A Gutiérrez-García; Hamurabi Gamboa-Rosales
Journal:  Healthcare (Basel)       Date:  2021-03-12
  3 in total

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