Quick model-based viscoelastic clot strength predictions from blood protein concentrations for cybermedical coagulation control.

ABSTRACT: Cybermedical systems that regulate patient clotting in real time with personalized blood product delivery will improve treatment outcomes. These systems will harness popular viscoelastic assays of clot strength such as thromboelastography (TEG), which help evaluate coagulation status in numerous conditions: major surgery (e.g., heart, vascular, hip fracture, and trauma); liver cirrhosis and transplants; COVID-19; ICU stays; sepsis; obstetrics; diabetes; and coagulopathies like hemophilia. But these measurements are time-consuming, and thus impractical for urgent care and automated coagulation control. Because protein concentrations in a blood sample can be measured in about five minutes, we develop personalized, phenomenological, quick, control-oriented models that predict TEG curve output

SUBMITTER: Ghetmiri DE 

PROVIDER: S-EPMC10770315 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature