Diagnostic Accuracy of the Apical Sparing Ratio for Detecting Cardiac Amyloidosis in Left Ventricular Hypertrophy and Severe Aortic Stenosis: A Systematic Review and Meta‐Analysis

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Hauptverfasser: Eric Zheng, Alejandro Garza, Sara Vetter, Bryan E Xin Tan, Juan Cotella, Michael Randazzo, Jeremy Slivnick
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Veröffentlicht: Wiley 2026
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author Eric Zheng
Alejandro Garza
Sara Vetter
Bryan E Xin Tan
Juan Cotella
Michael Randazzo
Jeremy Slivnick
author_facet Eric Zheng
Alejandro Garza
Sara Vetter
Bryan E Xin Tan
Juan Cotella
Michael Randazzo
Jeremy Slivnick
Eric Zheng
Alejandro Garza
Sara Vetter
Bryan E Xin Tan
Juan Cotella
Michael Randazzo
Jeremy Slivnick
collection Wiley Open Access
contents Diagnostic Accuracy of the Apical Sparing Ratio for Detecting Cardiac Amyloidosis in Left Ventricular Hypertrophy and Severe Aortic Stenosis: A Systematic Review and Meta‐Analysis Eric Zheng Alejandro Garza Sara Vetter Bryan E Xin Tan Juan Cotella Michael Randazzo Jeremy Slivnick Echocardiography Abstract Purpose Cardiac amyloidosis (CA) is an underdiagnosed cause of heart failure with overlapping phenotypes, such as aortic stenosis (AS) and hypertrophic cardiomyopathy. The apical sparing ratio (ASR) derived from echocardiographic strain imaging has been widely adopted as a potential screening tool for CA, though performance across clinical contexts remains uncertain. Methods We performed a systematic review and meta‐analysis of studies evaluating the diagnostic accuracy of ASR for identifying CA among patients with left ventricular hypertrophy (LVH), including a prespecified subgroup of patients with severe AS, in September 2024. Random‐effects models incorporating multiple ASR thresholds were used to estimate pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve (AUC). Results Among 3501 records screened, 22 studies ( n = 4144) met inclusion criteria for primary analysis. An optimal Youden ASR of threshold = 0.83 yielded pooled sensitivity (95% confidence interval) of 73% (66%, 79%) and specificity of 77% (67%, 84%), with an AUC of 0.81 (0.69, 0.89). In the severe AS subgroup (5 studies, n = 911), pooled sensitivity and specificity were 65% (47%, 80%) and 74% (58%, 85%), respectively, with an AUC of 0.79 (0.70, 0.92). Across analyses, high heterogeneity was observed. Sensitivity analyses, excluding high‐bias or low‐threshold studies, produced similar findings. Conclusion ASR demonstrates only modest diagnostic performance for differentiating CA from hypertrophic phenotypes, with limited sensitivity at conventional thresholds. These findings underscore the limitations of ASR as a standalone screening tool and highlight the need for alternative approaches to improve diagnostic accuracy. 10.1111/echo.70474 http://onlinelibrary.wiley.com/termsAndConditions#vor
doi_str_mv 10.1111/echo.70474
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spellingShingle Diagnostic Accuracy of the Apical Sparing Ratio for Detecting Cardiac Amyloidosis in Left Ventricular Hypertrophy and Severe Aortic Stenosis: A Systematic Review and Meta‐Analysis
Eric Zheng
Alejandro Garza
Sara Vetter
Bryan E Xin Tan
Juan Cotella
Michael Randazzo
Jeremy Slivnick
Echocardiography
Diagnostic Accuracy of the Apical Sparing Ratio for Detecting Cardiac Amyloidosis in Left Ventricular Hypertrophy and Severe Aortic Stenosis: A Systematic Review and Meta‐Analysis Eric Zheng Alejandro Garza Sara Vetter Bryan E Xin Tan Juan Cotella Michael Randazzo Jeremy Slivnick Echocardiography Abstract Purpose Cardiac amyloidosis (CA) is an underdiagnosed cause of heart failure with overlapping phenotypes, such as aortic stenosis (AS) and hypertrophic cardiomyopathy. The apical sparing ratio (ASR) derived from echocardiographic strain imaging has been widely adopted as a potential screening tool for CA, though performance across clinical contexts remains uncertain. Methods We performed a systematic review and meta‐analysis of studies evaluating the diagnostic accuracy of ASR for identifying CA among patients with left ventricular hypertrophy (LVH), including a prespecified subgroup of patients with severe AS, in September 2024. Random‐effects models incorporating multiple ASR thresholds were used to estimate pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve (AUC). Results Among 3501 records screened, 22 studies ( n = 4144) met inclusion criteria for primary analysis. An optimal Youden ASR of threshold = 0.83 yielded pooled sensitivity (95% confidence interval) of 73% (66%, 79%) and specificity of 77% (67%, 84%), with an AUC of 0.81 (0.69, 0.89). In the severe AS subgroup (5 studies, n = 911), pooled sensitivity and specificity were 65% (47%, 80%) and 74% (58%, 85%), respectively, with an AUC of 0.79 (0.70, 0.92). Across analyses, high heterogeneity was observed. Sensitivity analyses, excluding high‐bias or low‐threshold studies, produced similar findings. Conclusion ASR demonstrates only modest diagnostic performance for differentiating CA from hypertrophic phenotypes, with limited sensitivity at conventional thresholds. These findings underscore the limitations of ASR as a standalone screening tool and highlight the need for alternative approaches to improve diagnostic accuracy. 10.1111/echo.70474 http://onlinelibrary.wiley.com/termsAndConditions#vor
title Diagnostic Accuracy of the Apical Sparing Ratio for Detecting Cardiac Amyloidosis in Left Ventricular Hypertrophy and Severe Aortic Stenosis: A Systematic Review and Meta‐Analysis
topic Echocardiography
url https://onlinelibrary.wiley.com/doi/10.1111/echo.70474