Circulating biomarker-based risk stratifications individualize arch repair strategy of acute Type A aortic dissection via the XGBoosting algorithm.

Hong LiuSi-Chong QianLu HanYing-Yuan ZhangYing WuLiang HongJi-Nong YangJi-Sheng ZhongYu-Qi WangDong-Kai WuGuo-Liang FanJun-Quan ChenSheng-Qiang ZhangXing-Xing PengZhi-Wei TangAl-Wajih HamzahYong-Feng ShaoHai-Yang LiHong-Jia Zhang

Published in: European heart journal. Digital health (2022)

In ATAAD patients, the simultaneous addition of circulating biomarkers of inflammatory, cardiac, hepatic, renal, and metabolic abnormalities substantially improved risk stratification and individualized arch repair strategy.

Keyphrases

aortic dissection
end stage renal disease
newly diagnosed
chronic kidney disease
ejection fraction
machine learning
oxidative stress
left ventricular
peritoneal dialysis
patient reported outcomes
drug induced
hepatitis b virus
patient reported
neural network