Efficiency, Sensitivity and Specificity of Automated Auscultation Diagnosis Device for Detection and Discrimination of Cardiac Murmurs in Children|
Kocharian, Armen; Sepehri, Amir-Ahmad; Janani, Azin & Rad, Elaheh Malakan
Objective: Intelligent electronic stethoscopes and computer-aided auscultation systems have highlighted a
new era in cardiac auscultation in children. Several collaborative multidisciplinary researches in this field are
performed by physicians and computer specialists. Recently, a novel medical software device, Automated
Auscultation Diagnosis Device (AADD), has been reported with intelligent diagnosing ability to differentiate
cardiac murmur from breath sounds in children with normal and abnormal hearts due to congenital heart
disease. The aim of this study is to determine efficiency, sensitivity and specificity of the diagnoses made by
this AADD in children with and without cardiac disease.
Methods: We performed a cross-sectional study to determine efficiency, sensitivity and specificity of
diagnoses made by AADD. Our patient population was two groups of children with and without cardiac
disease(563 patients and 50 normal). SPSS version 16 was used to calculate sensitivity, specificity and
efficiency and descriptive analysis.
Findings: Using cardiac sound recording in four conventional cardiac areas of auscultation (including aortic,
pulmonary, tricuspid and mitral), AADD proved to have a ≥90 % sensitivity, specificity and efficiency for
making the correct diagnosis in children with heart disease and 100% diagnostic accuracy in children with
normal hearts either with or without innocent murmurs.
Conclusion: Considering the high sensitivity, specificity and efficiency of AADD for making the correct
diagnosis, application of this software is recommended for family physicians to enhance proper and timely
patients' referral to pediatric cardiologists in order to provide better diagnostic facilities for pediatric patients
who live in deprived and underserved rural areas with lack access to pediatric cardiologists.
Computerized Medical Records System; Computer-Assisted Diagnosis; Computer-Assisted Design; Auscultation