A computerized prediction model of hazardous inflammatory platelet transfusion outcomes.

ABSTRACT:

Background

Platelet component (PC) transfusion leads occasionally to inflammatory hazards. Certain BRMs that are secreted by the platelets themselves during storage may have some responsibility.

Methodology/principal findings

First, we identified non-stochastic arrangements of platelet-secreted BRMs in platelet components that led to acute transfusion reactions (ATRs). These data provide formal clinical evidence that platelets generate secretion profiles under both sterile activation and pathological conditions. We next aimed to predict the risk of hazardous outcomes by establishing statistical models based on the associations of BRMs within the incriminated platelet components and using decision trees. We investigated a large (n = 65) series of ATRs after platelet component

SUBMITTER: Nguyen KA 

PROVIDER: S-EPMC4022636 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature