Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
- PMID: 34656466
- PMCID: PMC8821017
- DOI: 10.1016/j.jcmg.2021.07.026
Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
Abstract
Objectives: This study sought to identify patients with repaired tetralogy of Fallot (rTOF) at high risk of death and malignant ventricular arrhythmia (VA).
Background: To date there is no robust risk stratification scheme to predict outcomes in adults with rTOF.
Methods: Consecutive patients were prospectively recruited for late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) to define right and left ventricular (RV, LV) fibrosis in addition to proven risk markers.
Results: The primary endpoint was all-cause mortality. Of the 550 patients (median age 32 years, 56% male), 27 died (mean follow-up 6.4 ± 5.8; total 3,512 years). Mortality was independently predicted by RVLGE extent, presence of LVLGE, RV ejection fraction ≤47%, LV ejection fraction ≤55%, B-type natriuretic peptide ≥127 ng/L, peak exercise oxygen uptake (V02) ≤17 mL/kg/min, prior sustained atrial arrhythmia, and age ≥50 years. The weighted scores for each of the preceding independent predictors differentiated a high-risk subgroup of patients with a 4.4%, annual risk of mortality (area under the curve [AUC]: 0.87; P < 0.001). The secondary endpoint (VA), a composite of life-threatening sustained ventricular tachycardia/resuscitated ventricular fibrillation/sudden cardiac death occurred in 29. Weighted scores that included several predictors of mortality and RV outflow tract akinetic length ≥55 mm and RV systolic pressure ≥47 mm Hg identified high-risk patients with a 3.7% annual risk of VA (AUC: 0.79; P < 0.001) RVLGE was heavily weighted in both risk scores caused by its strong relative prognostic value.
Conclusions: We present a score integrating multiple appropriately weighted risk factors to identify the subgroup of patients with rTOF who are at high annual risk of death who may benefit from targeted therapy.
Keywords: CMR; late gadolinium enhancement; risk stratification; sudden cardiac death; tetralogy of Fallot; ventricular tachycardia.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Funding Support and Author Disclosures This work was supported by the British Heart Foundation (FS/11/38/28864), Drs Babu-Narayan and Heng were funded by the British Heart Foundation. Prof Dudley Pennell is a consultant to Siemens. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.
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Comment in
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Getting Closer to Predicting SCD in TOF.JACC Cardiovasc Imaging. 2022 Feb;15(2):269-270. doi: 10.1016/j.jcmg.2021.09.022. Epub 2021 Nov 17. JACC Cardiovasc Imaging. 2022. PMID: 34801450 No abstract available.
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Machine Learning to Predict Outcomes in Repaired Tetralogy of Fallot.JACC Cardiovasc Imaging. 2022 May;15(5):954-955. doi: 10.1016/j.jcmg.2022.01.020. JACC Cardiovasc Imaging. 2022. PMID: 35512963 No abstract available.
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The Authors Reply.JACC Cardiovasc Imaging. 2022 May;15(5):955-956. doi: 10.1016/j.jcmg.2022.02.020. JACC Cardiovasc Imaging. 2022. PMID: 35512964 No abstract available.
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