Prediction of mycophenolic acid exposure in renal transplantation recipients by artificial neural network / 药学学报

The paper is aimed to establish an artificial neural network (ANN) for predicting mycophenolic acid (MPA) area under the plasma concentration-time curve (AUC) in renal transplantation recipients. 64 Chinese renal transplantation recipients receiving mycophenolate mofetil (MMF) were investigated. 10 timed samples were drawn at different days after transplantation. Plasma MPA concentration was determined by HPLC method and area under curve over the period of 0 to 12 h (AUC(0-12 h)) was calculated using the linear trapezoidal rule. ANN was established after network parameters were optimized using momentum method in combination with genetic algorithm. Furthermore, the predictive performance of ANN was compared with that of multiple linear regression (MLR). When using plasma MPA concentration of 0, 0.5, 2 h after MMF administration to predict MPA AUC(0-12 h), mean prediction error and mean absolute prediction error were -1.53% and 9.12%, respectively. Accuracy and precision of prediction by ANN were superior to that of MLR prediction, and similar results could be found when using plasma MPA concentration of 0, 0.5 h to predict MPA AUC(0-12h). The accuracy and precision of ANN prediction were superior to that of MLR prediction, and ANN can be used to predict MPA AUC(0-12 h).

Effects of dialysis adequacy,microinflammation and residual renal function on nutritional status in hemodialysis patients / 中华肾脏病杂志

Objective To study the effect of dialysis adcquacy,microinflammation and residual renal function on nutritional status of hemodialysis patients.Methods One hundred and fourteen patients were enrolled in this study.Kt/V,?_2-MG and serum iPTH were measured as markers of hemodialysis adequacy.Nutritional evaluation included MQSGA,Alb,Hb,TF,IGF-1,IGFBP-3 and anthropometrics such as HGS,BSF,TSF,MAC,MAMC and AMA.Serum IL-6,TNF-?and CRP were detected to assess microinflammation.Urinary volume of 24 hours was measured to investigate the residual renal function (RRF).Results (1)There were different correlations and regressive associations of Kt/V,iPTH and?_2-MG with HGS,MAMC,AMA,Alb,Hb,nPCR,IGF-1 and MQSGA respectively.(2) There were significant correlations and regressive associations of RRF to HGS,TSF,MAMC,Alb,nPCR and IGF-1 within the first year of hemodialysis.(3) There were different correlations and regression relationships of IL-6,TNF-?and CRP with HGS、MAMC、AMA、Alb、TSF、Hb、nPCR、IGF-1 respectively.(4) Multivariate analysis showed that Kt/V,iPTH,IL-6, TNF-?,?_2-MG and RRF were influencing factors,among them,Kt/V,iPTH,IL-6 and TNF-?were independent predictors of nutritional status.Conclusions Hemodialysis adequacy and micruinflammation may impact on nutritional status.Residual renal function may be involved in nutritional status in the first year of hemodialysis.Kt/V,iPTH,IL-6 and TNF-?are independent factors affecting nutritional status.