Publications by authors named "Xuetong Zheng"

Article Synopsis
  • - The study examines how to evaluate immune recovery after hematopoietic stem cell transplantation (HSCT), analyzing immune profiles from over 11,000 post-transplant patients, mostly undergoing allogeneic HSCT.
  • - Researchers identified a composite immune signature from various blood cell counts taken 91-180 days post-transplant and created a Composite Immune Risk Score to predict early mortality, showing that high scores correlate with significantly increased risk.
  • - Validation of this scoring system revealed it is a reliable, easy-to-use tool that can help identify patients at high risk for complications, allowing for better-targeted care in preventing infections post-transplant.
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Forecasting of severe acute graft-versus-host disease (aGVHD) after transplantation is a challenging 'large p, small n' problem that suffers from nonuniform data sampling. We propose a dynamic probabilistic algorithm, daGOAT, that accommodates sampling heterogeneity, integrates multidimensional clinical data and continuously updates the daily risk score for severe aGVHD onset within a two-week moving window. In the studied cohorts, the cross-validated area under the receiver operator characteristic curve (AUROC) of daGOAT rose steadily after transplantation and peaked at ≥0.

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