Strain echocardiography predictors in patients with concomitant cardiac amyloidosis and aortic stenosis: a cross-sectional study
2024

Strain Echocardiography in Cardiac Amyloidosis and Aortic Stenosis

Sample size: 42 publication Evidence: moderate

Author Information

Author(s): Samira Jafarisis, Shahab Masoumi, Naser Khezerlouy-Aghdam, Kia Seyed Toutounchi, Amirreza Jabbaripour Sarmadian, Sina Hamzehzadeh, Akram Shariati, Razieh Parizad, Venus Shahabi Rabori

Primary Institution: Cardiovascular Research Center, Tabriz University of Medical Sciences

Hypothesis

The study aims to investigate the diagnostic value of strain predictors in patients with concomitant cardiac amyloidosis and aortic stenosis compared to isolated aortic stenosis.

Conclusion

The 'cherry on top' sign was significantly more prevalent in patients with concomitant cardiac amyloidosis and aortic stenosis, demonstrating high sensitivity and moderate specificity for predicting the condition.

Supporting Evidence

  • Eight patients were diagnosed with cardiac amyloidosis, representing 19.0% of those suspected.
  • The 'cherry on top' sign was present in 100% of patients with concomitant cardiac amyloidosis.
  • AF arrhythmia was significantly more frequent in patients with concomitant cardiac amyloidosis.
  • E/E' ratio and RALS were significantly higher in patients with concomitant cardiac amyloidosis.
  • GLS and mean basal LS were significantly lower in patients with concomitant cardiac amyloidosis.

Takeaway

Doctors can use a special sign seen in heart scans, called the 'cherry on top' sign, to help tell if someone has both heart conditions: cardiac amyloidosis and aortic stenosis.

Methodology

A cross-sectional study involving 42 patients with severe aortic stenosis suspected of concomitant cardiac amyloidosis, who underwent scintigraphy and echocardiography.

Limitations

The diagnosis of cardiac amyloidosis was based on scintigraphy rather than endomyocardial biopsy, and the sample size was limited to a single center.

Participant Demographics

Mean age of 62.02 years, with 64.3% male and 35.7% female participants.

Statistical Information

P-Value

0.04

Statistical Significance

p=0.04

Digital Object Identifier (DOI)

10.1186/s12872-024-04415-8

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