Login / Signup

[The Causes of Platelet Aggregation in Version 6.4 Trima Accel Automated Blood Collection System and the Comparison of Two Intervention Measures].

Shu-Ming HuangXiao-Mei LinHui-Wei TangJia Zeng
Published in: Zhongguo shi yan xue ye xue za zhi (2024)
During apheresis platelet collection, the predictive equations for aggregation and non-aggregation can be used to predict the occurrence probability of aggregation, and the intervention can be made in advance. Both intervention measures are effective in reducing platelet aggregation, however, measure B has the advantages of improving the speed of blood collection, shortening the collection time, reducing the alarm frequency and the anticoagulant usage, and reducing the incidence of citrate reaction in blood donors.
Keyphrases
  • randomized controlled trial
  • risk assessment
  • machine learning
  • risk factors
  • deep learning
  • high throughput