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Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy.

Hammersley, Daniel J
Zegard, Abbasin
Androulakis, Emmanuel
Jones, Richard E
Okafor, Osita
Hatipoglu, Suzan
Mach, Lukas
Lota, Amrit S
Khalique, Zohya
de Marvao, Antonio
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2024-08-29
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Abstract
The primary endpoint was met by 52 of 866 (6.0%) patients in the derivation cohort (median follow-up: 7.5 years; Q1-Q3: 5.2-9.3 years). In competing-risks analyses, MF on visual assessment (MFVA) predicted the primary endpoint (HR: 5.83; 95% CI: 3.15-10.8). Quantified MF measures permitted categorization into 3 risk groups: a TF of >0 g and ≤10 g was associated with an intermediate risk (HR: 4.03; 95% CI: 1.99-8.16), and a TF of >10 g was associated with the highest risk (HR: 9.17; 95% CI: 4.64-18.1) compared to patients with no MFVA (lowest risk). Similar trends were observed in the validation cohort. Categorization into these 3 risk groups was achievable using TF or GZF in combination or in isolation. In contrast, LVEF of <35% was a poor predictor of the primary endpoint (validation cohort HR: 1.99; 95% CI: 0.99-4.01).
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Hammersley DJ, Zegard A, Androulakis E, Jones RE, Okafor O, Hatipoglu S, Mach L, Lota AS, Khalique Z, de Marvao A, Gulati A, Baruah R, Guha K, Ware JS, Tayal U, Pennell DJ, Halliday BP, Qiu T, Prasad SK, Leyva F. Arrhythmic Risk Stratification by Cardiovascular Magnetic Resonance Imaging in Patients With Nonischemic Cardiomyopathy. J Am Coll Cardiol. 2024 Oct 8;84(15):1407-1420. doi: 10.1016/j.jacc.2024.06.046. Epub 2024 Aug 30.
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