Clinical radiology · 2026
Assessment of left atrioventricular coupling index in hypertrophic cardiomyopathy: improving risk stratification with cardiac magnetic resonance (CMR).
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Zhang D, Qian Y, Gu Z, Zhao L, Wu L, Wang Y
Аннотация
AIM: To assess the prognostic value of the left atrioventricular coupling index (LACI) in predicting sudden cardiac death (SCD) events in patients with hypertrophic cardiomyopathy (HCM), and to evaluate whether LACI provides incremental prognostic information beyond guideline-based risk models.
MATERIALS AND METHODS: In this retrospective study, 2,240 HCM patients were analysed. Clinical and cardiac magnetic resonance (CMR) parameters, including LACI, late gadolinium enhancement (LGE), and left ventricular ejection fraction (LVEF), were evaluated. LACI was defined as the ratio of left atrial end-diastolic volume to left ventricular end-diastolic volume. Univariable and multivariable Cox regression analyses assessed associations of LACI with SCD events and guideline-based models (European Society of Cardiology [ESC] and American College of Cardiology/American Heart Association [ACC/AHA]).
RESULTS: Over a mean follow-up of 4.0 ± 2.5 years, 128 patients (5.7%) experienced SCD events. Event patients had higher LACI (39% ± 28% vs. 33% ± 23%, P = 0.04), greater LGE (12.1 ± 8.6% vs 6.4 ± 4.3%, P < 0.001), and lower LVEF (48 ± 15% vs 65 ± 13%, P < 0.001). LACI independently predicted SCD events after adjusting for LGE and conventional risk factors (multivariable hazard ratio [HR] 1.44-1.46, 95% confidence interval [CI]: 1.3-1.6; P < 0.001) in both ESC- and ACC/AHA-adjusted models. Adding LACI and LGE to the ESC model improved the area under the curve [AUC] (0.69 vs 0.53) and specificity (82.6% vs 57.9%).
CONCLUSION: CMR-derived LACI independently predicts adverse outcomes in HCM and provides incremental prognostic value beyond LGE and guideline-based models.
MATERIALS AND METHODS: In this retrospective study, 2,240 HCM patients were analysed. Clinical and cardiac magnetic resonance (CMR) parameters, including LACI, late gadolinium enhancement (LGE), and left ventricular ejection fraction (LVEF), were evaluated. LACI was defined as the ratio of left atrial end-diastolic volume to left ventricular end-diastolic volume. Univariable and multivariable Cox regression analyses assessed associations of LACI with SCD events and guideline-based models (European Society of Cardiology [ESC] and American College of Cardiology/American Heart Association [ACC/AHA]).
RESULTS: Over a mean follow-up of 4.0 ± 2.5 years, 128 patients (5.7%) experienced SCD events. Event patients had higher LACI (39% ± 28% vs. 33% ± 23%, P = 0.04), greater LGE (12.1 ± 8.6% vs 6.4 ± 4.3%, P < 0.001), and lower LVEF (48 ± 15% vs 65 ± 13%, P < 0.001). LACI independently predicted SCD events after adjusting for LGE and conventional risk factors (multivariable hazard ratio [HR] 1.44-1.46, 95% confidence interval [CI]: 1.3-1.6; P < 0.001) in both ESC- and ACC/AHA-adjusted models. Adding LACI and LGE to the ESC model improved the area under the curve [AUC] (0.69 vs 0.53) and specificity (82.6% vs 57.9%).
CONCLUSION: CMR-derived LACI independently predicts adverse outcomes in HCM and provides incremental prognostic value beyond LGE and guideline-based models.