Background: To evaluate residual fibrinolysis resistance activity (FRA) in plasma, a detergent-modified plasma clot lysis assay time (dPCLT) was established in which α2-antiplasmin (A2AP) and plasminogen activator inhibitor type 1 (PAI-1) are inactivated without impacting protease activity. We applied this novel assay to severely injured trauma patients' plasma.
Material And Methods: Tissue-type plasminogen activator (tPA)-induced plasma clot lysis assays were conducted after detergents- (dPCLT) or vehicle- (sPCLT) treatment, and time to 50% clot lysis was measured ("transition midpoint", T ).
Background: Tissue-plasminogen activator-challenged thromboelastography (tPA-TEG) predicts massive transfusion and mortality better than conventional rapid thromboelastography (rTEG), with little concordance between their lysis values (LY30). We hypothesized that the main fibrinolytic inhibitors plasminogen activator inhibitor-1 (PAI-1) and α-2 antiplasmin (A2AP), as well as markers of fibrinolytic activation (plasmin-antiplasmin [PAP], tPA-PAI-1 complex, tPA activity), would correlate more strongly with tPA-TEG versus rTEG LY30 and may explain the recent findings of four distinct fibrinolytic phenotypes in trauma based on these two TEG methodologies.
Methods: Adult trauma patients (n = 56) had tPA-TEG, rTEG, and plasma obtained on arrival to the emergency department with institutional review board approval.
Background: Continuous ambulatory peritoneal dialysis (CAPD) is one of the kidney replacement therapy (KRT) modalities used in patients with kidney failure. It is the preferred modality in most resource-limited settings as it is more accessible and cost-effective. CAPD technique failure remains a challenge and is associated with an increased risk of morbidity and mortality.
View Article and Find Full Text PDFThis paper describes Epihiper, a state-of-the-art, high performance computational modeling framework for epidemic science. The Epihiper modeling framework supports custom disease models, and can simulate epidemics over dynamic, large-scale networks while supporting modulation of the epidemic evolution through a set of user-programmable interventions. The nodes and edges of the social-contact network have customizable sets of static and dynamic attributes which allow the user to specify intervention target sets at a very fine-grained level; these also permit the network to be updated in response to nonpharmaceutical interventions, such as school closures.
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