Sameeh, R., Sayed, S., Othman, M., Obeidalla, A., Samy, M. (2022). Could Cardiac MR Imaging with Late Gadolinium Enhancement Affect The Risk Stratification and Outcome Prediction In Non-Ischemic Cardiomyopathies?. The Egyptian Journal of Hospital Medicine, 86(1), 199-210. doi: 10.21608/ejhm.2022.211049
Reham Sameeh; Samy Abd Elaziz Sayed; Mostafa Hashem Mahmoud Othman; Ahmed Ali Obeidalla; Marwa Samy. "Could Cardiac MR Imaging with Late Gadolinium Enhancement Affect The Risk Stratification and Outcome Prediction In Non-Ischemic Cardiomyopathies?". The Egyptian Journal of Hospital Medicine, 86, 1, 2022, 199-210. doi: 10.21608/ejhm.2022.211049
Sameeh, R., Sayed, S., Othman, M., Obeidalla, A., Samy, M. (2022). 'Could Cardiac MR Imaging with Late Gadolinium Enhancement Affect The Risk Stratification and Outcome Prediction In Non-Ischemic Cardiomyopathies?', The Egyptian Journal of Hospital Medicine, 86(1), pp. 199-210. doi: 10.21608/ejhm.2022.211049
Sameeh, R., Sayed, S., Othman, M., Obeidalla, A., Samy, M. Could Cardiac MR Imaging with Late Gadolinium Enhancement Affect The Risk Stratification and Outcome Prediction In Non-Ischemic Cardiomyopathies?. The Egyptian Journal of Hospital Medicine, 2022; 86(1): 199-210. doi: 10.21608/ejhm.2022.211049
Could Cardiac MR Imaging with Late Gadolinium Enhancement Affect The Risk Stratification and Outcome Prediction In Non-Ischemic Cardiomyopathies?
Background: Cardiac MR (CMR) evaluatingnon-ischemic cardiomyopathies (NICMs) is superior 3D imaging with non-invasiveness, more accuracy and reproducibility of measurements. It provides comprehensive structural, functional information, tissue characterization, and assesses fibrosis by LGE. Objective: The study aimed to investigate these imaging data and their prognostic value in NICM. Patients and methods: 46 NICM patients were assessed by echocardiography/cardiac magnetic resonance (CMR). They were divided into 3 groups: dilated, hypertrophic and miscellaneous types. Late gadolinium enhancement (LGE) presence and myocardial extent/percentage were assessed with clinical follow up for a median of 1-year for any Major adverse cardiac events (MACE). For each group, univariate analysis of clinical/imaging risk factors in the associations with LGE/MACE was performed. Results: Twenty-six dilated cardiomyopathypatients, 62% had LGE and 31% had MACE. Using LGE as a predictor for MACE was statistically significant (p = 0.007). Using univariate analysis, the presence of LGE (p=0.00) and the extent of LGE (p < 0.0001) demonstrated the strongest unadjusted association with MACE. ROC curves revealed a cutoff value of LGE > 4.5% as MACE predictor. Twelve hypertrophic cardiomyopathypatients (67%) had LGE and (50%) had MACE. Using LGE as a predictor for MACE was statistically significant (p=0.014). Using univariate analysis, the presence of LGE (p=0.01) and the extent of LGE (p=0.01) demonstrated the strongest unadjusted association with MACE. ROC curves revealed a cutoff value of LGE > 4.5% as MACE predictor. Conclusion: CMR with LGE is crucial in NICM evaluation with prognostic value; changing the way that myocardial disorders will be understood and managed in the near future.