Cargando…

Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach

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 p...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghonim, Sarah, Gatzoulis, Michael A., Ernst, Sabine, Li, Wei, Moon, James C., Smith, Gillian C., Heng, Ee Ling, Keegan, Jennifer, Ho, Siew Yen, McCarthy, Karen P., Shore, Darryl F., Uebing, Anselm, Kempny, Aleksander, Alpendurada, Francisco, Diller, Gerhard P., Dimopoulos, Konstantinos, Pennell, Dudley J., Babu-Narayan, Sonya V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821017/
https://www.ncbi.nlm.nih.gov/pubmed/34656466
http://dx.doi.org/10.1016/j.jcmg.2021.07.026
_version_ 1784646331318403072
author Ghonim, Sarah
Gatzoulis, Michael A.
Ernst, Sabine
Li, Wei
Moon, James C.
Smith, Gillian C.
Heng, Ee Ling
Keegan, Jennifer
Ho, Siew Yen
McCarthy, Karen P.
Shore, Darryl F.
Uebing, Anselm
Kempny, Aleksander
Alpendurada, Francisco
Diller, Gerhard P.
Dimopoulos, Konstantinos
Pennell, Dudley J.
Babu-Narayan, Sonya V.
author_facet Ghonim, Sarah
Gatzoulis, Michael A.
Ernst, Sabine
Li, Wei
Moon, James C.
Smith, Gillian C.
Heng, Ee Ling
Keegan, Jennifer
Ho, Siew Yen
McCarthy, Karen P.
Shore, Darryl F.
Uebing, Anselm
Kempny, Aleksander
Alpendurada, Francisco
Diller, Gerhard P.
Dimopoulos, Konstantinos
Pennell, Dudley J.
Babu-Narayan, Sonya V.
author_sort Ghonim, Sarah
collection PubMed
description 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 (V0(2)) ≤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.
format Online
Article
Text
id pubmed-8821017
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-88210172022-02-11 Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach Ghonim, Sarah Gatzoulis, Michael A. Ernst, Sabine Li, Wei Moon, James C. Smith, Gillian C. Heng, Ee Ling Keegan, Jennifer Ho, Siew Yen McCarthy, Karen P. Shore, Darryl F. Uebing, Anselm Kempny, Aleksander Alpendurada, Francisco Diller, Gerhard P. Dimopoulos, Konstantinos Pennell, Dudley J. Babu-Narayan, Sonya V. JACC Cardiovasc Imaging Original Research 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 (V0(2)) ≤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. Elsevier 2022-02 /pmc/articles/PMC8821017/ /pubmed/34656466 http://dx.doi.org/10.1016/j.jcmg.2021.07.026 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Research
Ghonim, Sarah
Gatzoulis, Michael A.
Ernst, Sabine
Li, Wei
Moon, James C.
Smith, Gillian C.
Heng, Ee Ling
Keegan, Jennifer
Ho, Siew Yen
McCarthy, Karen P.
Shore, Darryl F.
Uebing, Anselm
Kempny, Aleksander
Alpendurada, Francisco
Diller, Gerhard P.
Dimopoulos, Konstantinos
Pennell, Dudley J.
Babu-Narayan, Sonya V.
Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
title Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
title_full Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
title_fullStr Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
title_full_unstemmed Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
title_short Predicting Survival in Repaired Tetralogy of Fallot: A Lesion-Specific and Personalized Approach
title_sort predicting survival in repaired tetralogy of fallot: a lesion-specific and personalized approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821017/
https://www.ncbi.nlm.nih.gov/pubmed/34656466
http://dx.doi.org/10.1016/j.jcmg.2021.07.026
work_keys_str_mv AT ghonimsarah predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT gatzoulismichaela predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT ernstsabine predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT liwei predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT moonjamesc predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT smithgillianc predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT hengeeling predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT keeganjennifer predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT hosiewyen predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT mccarthykarenp predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT shoredarrylf predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT uebinganselm predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT kempnyaleksander predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT alpenduradafrancisco predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT dillergerhardp predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT dimopouloskonstantinos predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT pennelldudleyj predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach
AT babunarayansonyav predictingsurvivalinrepairedtetralogyoffallotalesionspecificandpersonalizedapproach