MedElevator
Войти в исследования Academic radiology · 2026
Incremental Prognostic Value of White Matter Hyperintensity Beyond Coronary Artery Disease Reporting and Data System for Major Adverse Cardiovascular Events.
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.
Huang Zengfa, Cao Beibei, Liu Ni, Wang Wanpeng, Fu Shishun, Li Mei, Li Zuoqin, Wang Xi, Xiao Jianwei, Li Hui, Hu Yun, Li Xiang, Wang Xiang
Аннотация
RATIONALE AND OBJECTIVES: This study aimed to assess the additional prognostic value of white matter hyperintensity (WMH) beyond Coronary Artery Disease Reporting and Data System (CAD-RADS) for major adverse cardiovascular events (MACE) in patients with suspected or known coronary artery disease (CAD).
MATERIALS AND METHODS: This study included 1085 patients who underwent coronary computed tomography angiography and brain magnetic resonance imaging between November 2018 and December 2022. Time-dependent receiver operating characteristic curves were used to evaluate the predictive values, and the C-statistic was employed to determine their discriminatory power.
RESULTS: 170 (15.7%) patients experienced MACE during a median follow-up of 63.1 months. WMH remained a significant and independent risk factor for predicting MACE after adjustments with clinical variables alone or with CAD-RADS. In the training set, the clinical-CAD-RADS-WMH model showed area under the curves (AUCs) of 0.719, 0.740, and 0.776 for predicting MACE at 1, 3, and 5 years, respectively. The model showed a consistent performance trend with AUCs of 0.819, 0.836, and 0.823 in the test set over 1, 3, and 5 years, respectively. Both the addition of WMH to the clinical model and to the clinical plus CAD-RADS model significantly increased the C-statistic index (p = 0.007, p = 0.038 in the training set and p = 0.002, p = 0.004 in the test set). These trends continued to be present when WMH was analyzed as a continuous variable.
CONCLUSION: An elevated WMH was related to a higher risk of MACE in patients with suspected or established CAD. Moreover, WMH demonstrated additional prognostic value for MACE beyond CAD-RADS.
MATERIALS AND METHODS: This study included 1085 patients who underwent coronary computed tomography angiography and brain magnetic resonance imaging between November 2018 and December 2022. Time-dependent receiver operating characteristic curves were used to evaluate the predictive values, and the C-statistic was employed to determine their discriminatory power.
RESULTS: 170 (15.7%) patients experienced MACE during a median follow-up of 63.1 months. WMH remained a significant and independent risk factor for predicting MACE after adjustments with clinical variables alone or with CAD-RADS. In the training set, the clinical-CAD-RADS-WMH model showed area under the curves (AUCs) of 0.719, 0.740, and 0.776 for predicting MACE at 1, 3, and 5 years, respectively. The model showed a consistent performance trend with AUCs of 0.819, 0.836, and 0.823 in the test set over 1, 3, and 5 years, respectively. Both the addition of WMH to the clinical model and to the clinical plus CAD-RADS model significantly increased the C-statistic index (p = 0.007, p = 0.038 in the training set and p = 0.002, p = 0.004 in the test set). These trends continued to be present when WMH was analyzed as a continuous variable.
CONCLUSION: An elevated WMH was related to a higher risk of MACE in patients with suspected or established CAD. Moreover, WMH demonstrated additional prognostic value for MACE beyond CAD-RADS.