ZargisCardioscan™ Aided Heart Murmurs Recognition has high negative predictive values when correlated and validated with Echocardiography: A Potential Dawn for Valvular Heart Disease Prevalence Studies in Rural India

Authors

  • P Aggarwal Associate Professor, Departments of Community Medicine, Himalayan Institute of Medical Sciences, Dehradun, Uttarakhand
  • R Kumar Associate Professor, Department of Cardiology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand
  • SD Kandpal Professor, Departments of Community Medicine, Himalayan Institute of Medical Sciences, Dehradun, Uttarakhand
  • D Gupta Assistant Professor, Departments of Anaesthesiology, Himalayan Institute of Medical Sciences, Dehradun, Uttarakhand
  • T Rai Intern, Departments of Community Medicine, Himalayan Institute of Medical Sciences, Dehradun, Uttarakhand

DOI:

https://doi.org/10.3126/nje.v4i3.10665

Keywords:

ZargisCardioscan™, 3M™ Littmann® Model 3200,

Abstract

Background 

The purpose of this open-label study was to correlate the auscultation findings of ZargisCardioscan™ with the echocardiographic findings in our patient population who were referred for echocardiography so as to investigate and ensure the validity of this technology before instituting its applicability in community health events among rural Indian population.

Materials and Methods

This was a double blinded prospective correlation study in outpatients presenting for echocardiography. Methods: One hundred patients, who had presented for echocardiography at Cardiology Center of an academic university hospital in rural India, were enrolled in this double blinded prospective correlation study. Principal investigator who is a community medicine physician performed the auscultation of patients’ hearts in sitting position. Subsequently, the ZargisCardioscan™ software was used to analyze the heart sounds auscultated by the 3M™ Littmann® Model 3200 stethoscope. Thereafter, the scheduled echocardiography for which the patient had presented to hospital was performed by co-investigator cardiologist who was blinded to the results obtained by the ZargisCardioscan™.Finally, all these data were statistically analyzed by blinded investigator for the presence of correlation between the two modalities.

Results

The most important finding was the high 90s negative predictive values when the stethoscope-software combination was used for auscultation and analysis of heart murmurs. Additionally, presence of isolated systolic murmurs had higher incidence of appreciable significant valvular lesions and presence of isolated diastolic murmurs primarily had underlying minimal-mild regurgitant valvular lesion, if any. The Bland-Altman Plot confirmed good correlation between stethoscope-echocardiography findings.   

 Conclusion

Stethoscope-software combination, 3M™ Littmann® Model 3200 and ZargisCardioscan™, accurately predicts the absence of valvular heart disease on echocardiography.

DOI: http://dx.doi.org/10.3126/nje.v4i3.10665

Nepal Journal of Epidemiology 2014; 4(3): 363-369

Downloads

Download data is not yet available.
Abstract
891
PDF
727

Downloads

Published

2014-06-29

How to Cite

Aggarwal, P., Kumar, R., Kandpal, S., Gupta, D., & Rai, T. (2014). ZargisCardioscan™ Aided Heart Murmurs Recognition has high negative predictive values when correlated and validated with Echocardiography: A Potential Dawn for Valvular Heart Disease Prevalence Studies in Rural India. Nepal Journal of Epidemiology, 4(3), 363–369. https://doi.org/10.3126/nje.v4i3.10665

Issue

Vol. 4 No. 3 (2014)

Section

Original Articles

License

  • Upon acceptance Copyright on any research article is transferred in full to the Confederation of Epidemiological Associations (CEA) and International Nepal Epidemiological Association (INEA).  The copyright transfer includes the right to reproduce and distribute the article in any form of reproduction (printing, electronic media or any other form).
  • Articles in the Nepal Journal of Epidemiology are Open Access articles published under the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/)
  • This license permits use, distribution and reproduction in any medium, provided the original work is properly cited.