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Insonation versus Auscultation in Valvular Disorders: Is Aortic Stenosis the Exception? A Systematic Review
Dylan Stanger1, Darryl Wan1, Nima Moghaddam1
1Division of Cardiology, University of British Columbia, Vancouver, BC, CA.
Insights
Handheld echocardiography (insonation) excels at detecting regurgitant valvular heart disease (VHD) compared to traditional auscultation. However, it shows no diagnostic advantage over auscultation for identifying aortic stenosis.
Area of Science:
- Cardiology
- Diagnostic Imaging
- Medical Technology
Background:
- Handheld echocardiography, termed insonation, is emerging as a key tool in cardiovascular physical examination.
- While insonation shows promise, its superiority over traditional methods for diagnosing valvular heart disease (VHD) requires further validation.
- This review focuses on comparing the diagnostic accuracy of insonation and auscultation for common VHD lesions.
Purpose of the Study:
- To systematically review and compare the accuracy of insonation versus auscultation for detecting common VHD.
- To evaluate the diagnostic performance of handheld echocardiography in identifying specific VHD lesions.
Main Methods:
- A comprehensive literature search was conducted across major databases.
- Diagnostic characteristics (sensitivity, specificity, accuracy) of insonation and auscultation for aortic stenosis, mitral regurgitation, aortic regurgitation, and tricuspid regurgitation were extracted.
- Evidence quality was assessed using the GRADE methodology.
Main Results:
- Seven observational studies were selected from 880 screened studies.
- Insonation demonstrated superior accuracy compared to auscultation for detecting all regurgitant VHD lesions.
- No significant difference in diagnostic ability was found between insonation and auscultation for detecting aortic stenosis.
Conclusions:
- Current handheld echocardiography (insonation) is a superior diagnostic tool for regurgitant VHD compared to auscultation.
- Insonation does not improve diagnostic accuracy for aortic stenosis detection over auscultation.
- Limitations in current insonation technology, such as the absence of spectral Doppler, hinder the assessment of transvalvular velocity and gradient, impacting aortic stenosis diagnosis.
Background:
Handheld echocardiography is being proposed as the fifth pillar of bedside physical cardiovascular examination (PE) and is referred to as insonation. Although there is emerging consensus that insonation is superior to PE for diagnosis of various cardiac conditions, superiority has not been consistently demonstrated for various valvular heart disease (VHD) lesions. The objective of this review is to systematically review the accuracy of insonation and auscultation in published literature for detection of common VHD.
Methods:
An extensive literature search across three commonly used public databases allowed comparison of diagnostic characteristics of insonation and auscultation for common VHD including aortic stenosis, mitral regurgitation, aortic regurgitation, tricuspid regurgitation. Sensitivity, specificity, and accuracy of insonation and auscultation for the detection of these VHD lesions were extracted for further analysis. The quality of evidence was assessed according to Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology.
Results:
Eight hundred eighty studies were screened, and seven observational studies were selected for full analysis. Due to heterogeneity of data, this study was not amenable to meta-analysis. Insonation was superior to auscultation for the detection of all regurgitant lesions, but there was no significant difference in diagnostic ability of the two strategies for detection of aortic stenosis.
Conclusions:
Compared to auscultation, insonation, in its currently available form, is a superior diagnostic tool for regurgitant lesions. However, insonation fails to improve upon auscultation for recognition of aortic stenosis. This limitation is likely due to absence of spectral Doppler and inability of HE to assess transvalvular velocity and gradient.
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