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Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning.

Xueyang WangJinhao LyuZhihua MengXiaoyan WuWen ChenGuohua WangQingliang NiuXin LiYitong BianDan HanWeiting GuoShuai YangXiangbing BianYina LanLiuxian WangQi DuanTingyang ZhangCaohui DuanChenglin TianLing ChenXin Lounull null
Published in: CNS neuroscience & therapeutics (2023)
Our results revealed that different SVD markers had distinct prognostic weights in AIS patients, and SVD burden alone may accurately predict the SVO-AIS patients' prognosis.
Keyphrases
  • end stage renal disease
  • acute ischemic stroke
  • ejection fraction
  • newly diagnosed
  • prognostic factors
  • single cell
  • patient reported