A Model to Study Time Lagged Interactions, Source Connectivity and Source Activities Using Multi-channel EEG.

A computational model to examine time lagged interactions; identify number of interacting pairs of neuronal sources; and determine source activities from multi-channel EEG measurements is described. It is based on the imaginary part of the cross spectrum between the EEG channels. The imaginary part of the cross spectrum between the EEG channels provides the most suitable property that reflects the presence of interacting sources.

Renal transplant and hemostasis: early postoperative changes in recipients and donors.

Background: The benefit of administering pharmacologic thromboprophylaxis following renal transplantation remains uncertain.

Objectives: To compare hemostatic parameters before and after renal transplant surgery in both recipients and their donors at predetermined time points.

Methods: Blood samples were collected at baseline (T1), immediately after surgery (T2), and at 24 hours after surgery (T3) in both recipients and donors and at 72 (T4) and 120 hours (T5) from recipients only.

Optimized immunosuppression to prevent graft failure in renal transplant recipients with HLA antibodies (OuTSMART): a randomised controlled trial.

Background: 3% of kidney transplant recipients return to dialysis annually upon allograft failure. Development of antibodies (Ab) against human leukocyte antigens (HLA) is a validated prognostic biomarker of allograft failure. We tested whether screening for HLA Ab, combined with an intervention to improve adherence and optimization of immunosuppression could prevent allograft failure.