Keele Research Repository
Explore the Repository
Jaiswal, V, Ang, SP, Chia, JE, Abdelazem, EM, Jaiswal, A, Biswas, M, Gimelli, A, Parwani, P, Siller-Matula, JM and Mamas, MA (2022) Echocardiographic predictors of presence of cardiac amyloidosis in aortic stenosis. European Heart Journal Cardiovascular Imaging, 23 (10). 1290 - 1301.
Full text not available from this repository.Abstract
AIMS: Aortic stenosis (AS) and cardiac amyloidosis (CA) frequently coexist but the diagnosis of CA in AS patients remains a diagnostic challenge. We aim to evaluate the echocardiographic parameters that may aid in the detection of the presence of CA in AS patients. METHOD AND RESULTS: We performed a systematic literature search of electronic databases for peer-reviewed articles from inception until 10 January 2022. Of the 1449 patients included, 160 patients had both AS-CA whereas the remaining 1289 patients had AS-only. The result of our meta-analyses showed that interventricular septal thickness [standardized mean difference (SMD): 0.74, 95% CI: 0.36-1.12, P = 0.0001), relative wall thickness (SMD: 0.74, 95% CI: 0.17-1.30, P < 0.0001), posterior wall thickness (SMD: 0.74, 95% CI 0.51 to 0.97, P = 0.0011), LV mass index (SMD: 1.62, 95% CI: 0.63-2.62, P = 0.0014), E/A ratio (SMD: 4.18, 95% CI: 1.91-6.46, P = 0.0003), and LA dimension (SMD: 0.73, 95% CI: 0.43-1.02, P < 0.0001)] were found to be significantly higher in patients with AS-CA as compared with AS-only patients. In contrast, myocardial contraction fraction (SMD: -2.88, 95% CI: -5.70 to -0.06, P = 0.045), average mitral annular S' (SMD: -1.14, 95% CI: -1.86 to -0.43, P = 0.0017), tricuspid annular plane systolic excursion (SMD: -0.36, 95% CI: -0.62 to -0.09, P = 0.0081), and tricuspid annular S' (SMD: -0.77, 95% CI: -1.13 to -0.42, P < 0.0001) were found to be significantly lower in AS-CA patients. CONCLUSION: Parameters based on echocardiography showed great promise in detecting CA in patients with AS. Further studies should explore the optimal cut-offs for these echocardiographic variables for better diagnostic accuracy.
Item Type: | Article |
---|---|
Additional Information: | Please refer to the journal website for the final published version |
Subjects: | R Medicine > R Medicine (General) |
Divisions: | Faculty of Medicine and Health Sciences > School of Medicine |
Related URLs: | |
Depositing User: | Symplectic |
Date Deposited: | 03 May 2023 13:05 |
Last Modified: | 03 May 2023 13:05 |
URI: | https://eprints.keele.ac.uk/id/eprint/12395 |