There are different clotting factors present in blood, carries the clotting cascade and excessive bleeding may cause a deficiency in the clotting Diagnosis of this deficiency in clotting drastically reduces the potential fatality. For enabling a sensor to detect the clotting factors, suitable probes such as antibody and aptamer have been used to capture these targets on the sensing surface. Two major clotting factors were widely studied for the diagnosis of clotting deficiency, which includes factor IX and thrombin. In addition, factor IX is considered as the substitute for heparin and the prothrombotic associated with the increased thrombin generation are taking into account their prevalence. The biosensors, surface plasmon resonance, evanescent-field-coupled waveguide-mode sensor, metal-enhanced PicoGreen fluorescence and electrochemical aptasensor were well-documented and improvements have been made for high-performance sensing. We overviewed detecting factor IX and thrombin using these biosensors, for the potential application in medical diagnosis.
The aim of this investigation was to determine the prognostic value of coagulation abnormalities in a defined subset of patients with acute head injury. Prothrombin time, accelerated partial thromboplastin time (APTT), thrombin clotting time, fibrinogen assay, platelet count, fibrin degradation products (FDP) were assayed in 204 patients with acute closed head injury. Their values were graded on a score 0-3 and the sum score for each patient regarded as the disseminated intravascular coagulation (DIC) score. Moderate to severe DIC scores were evident in 38% of the cohort. At least one parameter was abnormal in 71% of patients. The DIC score correlated inversely with the Glasgow coma score (GCS) (p < 0.0001). In the GCS 13-15 subset, FDP scores were significant predictors of poor outcome (p < 0.001). In the GCS 6-12 subset, the APTT score (p < 0.001), and DIC score (p < 0.0001) predicted an adverse outcome. The DIC scores were significantly abnormal in most patients who had a poor outcome, without evidence of adverse predictors on CT. Logistic regression analysis confirmed the independent predictive capacity of APTT, FDP and DIC scores when values for GCS were fixed. Abnormal haemostatic parameters may enhance the predictive ability in subsets of patients with acute head injury defined by clinical or CT predictors.