Abstract: This disclosure provides methods and devices for determining a quantitative estimate of thrombomodulin levels in a mammalian subject suspected of internal hemorrhaging. The method includes applying a blood sample from the subject to a handheld assay device capable of providing optical quantitation of the amount of thrombomodulin in the sample, measuring, by means of said assay device, an analyte signal value correlated to a concentration of the thrombomodulin in the blood sample and comparing the analyte signal value to a minimum threshold, wherein an analyte signal value less than the minimum threshold indicates that the subject is not internally hemorrhaging, and an analyte signal value above the minimum threshold indicates the subject is internally hemorrhaging. The methods and devices are adapted to rapidly assess internal hemorrhaging and hemorrhagic shock in a patient outside of hospital settings.
Abstract: This disclosure provides methods and devices for determining a quantitative estimate of syndecan-1 levels in a mammalian subject suspected of internal hemorrhaging. The method includes applying a blood sample from the subject to a hand-held assay device capable of providing optical quantitation of the amount of syndecan-1 in the sample, measuring, by means of said assay device, an analyte signal value correlated to a concentration of the syndecan-1 in the blood sample and comparing the analyte signal value to a minimum threshold, wherein an analyte signal value less than the minimum threshold indicates that the subject is not internally hemorrhaging, and an analyte signal value above the minimum threshold indicates the subject is internally hemorrhaging. The methods and devices are adapted to rapidly assess internal hemorrhaging and hemorrhagic shock in a patient outside of hospital settings.
Type:
Grant
Filed:
April 7, 2022
Date of Patent:
October 1, 2024
Assignee:
DIOTEX DIAGNOSTICS, LLC
Inventors:
Richard Eng, Cassandra Parent, Amal Hayat, Amanda Ruci, Anvith Krishnan, Feiyang Huang, Eric Simon, Ellie Zhang