Patient and graft survival after liver transplantation for hereditary hemochromatosis: Implications for pathogenesis

The clinical outcome of patients who have undergone liver transplantation for hereditary hemochromatosis (HH) or who have received iron-loaded donor grafts is unclear. We reviewed 3,600 adult primary orthotopic liver transplants and assessed the outcomes in 22 patients with HH. We also evaluated graft function and iron mobilization in 12 recipients of iron-loaded donor grafts. All 22 subjects who received liver transplants for HH were male; 13 had other risk factors for liver disease. HH patients had comparatively poor outcomes following transplantation: survival at 1, 3, and 5 years posttransplantation were 72%, 62%, and 55%, respectively. Recurrent hepatocellular cancer was the most common cause of death. There was no convincing evidence of reaccumulation of iron in the grafted liver in HH; however, 1 subject demonstrated increased serum ferritin concentration and grade 2 hepatic siderosis. Liver iron stores were slow to mobilize in 7 of the 12 recipients of iron-loaded grafts. These recipients had appropriate early graft function, but 2 patients with heavy iron loading and increased hepatic iron developed hepatic fibrosis. In conclusion. (1) HH is an uncommon indication for liver transplantation, and the majority of patients requiring transplantation had other risk factors for chronic liver disease; (2) reaccumulation of liver iron in HH patients is very unusual, but increased iron stores may be slow to mobilize in normal recipients of iron-loaded grafts, potentially compromising late graft function; (3) post-liver transplant survival is reduced in HH, and affected patients require careful clinical evaluation of perioperative and postoperative risk factors. Our data suggest that iron excess in HH does not wholly depend on intestinal iron absorption but is also influenced by liver factors that moderate iron metabolism.

Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation

The aim of this review is to analyse critically the recent literature on the clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplant recipients. Dosage and target concentration recommendations for tacrolimus vary from centre to centre, and large pharmacokinetic variability makes it difficult to predict what concentration will be achieved with a particular dose or dosage change. Therapeutic ranges have not been based on statistical approaches. The majority of pharmacokinetic studies have involved intense blood sampling in small homogeneous groups in the immediate post-transplant period. Most have used nonspecific immunoassays and provide little information on pharmacokinetic variability. Demographic investigations seeking correlations between pharmacokinetic parameters and patient factors have generally looked at one covariate at a time and have involved small patient numbers. Factors reported to influence the pharmacokinetics of tacrolimus include the patient group studied, hepatic dysfunction, hepatitis C status, time after transplantation, patient age, donor liver characteristics, recipient race, haematocrit and albumin concentrations, diurnal rhythm, food administration, corticosteroid dosage, diarrhoea and cytochrome P450 (CYP) isoenzyme and P-glycoprotein expression. Population analyses are adding to our understanding of the pharmacokinetics of tacrolimus, but such investigations are still in their infancy. A significant proportion of model variability remains unexplained. Population modelling and Bayesian forecasting may be improved if CYP isoenzymes and/or P-glycoprotein expression could be considered as covariates. Reports have been conflicting as to whether low tacrolimus trough concentrations are related to rejection. Several studies have demonstrated a correlation between high trough concentrations and toxicity, particularly nephrotoxicity. The best predictor of pharmacological effect may be drug concentrations in the transplanted organ itself. Researchers have started to question current reliance on trough measurement during therapeutic drug monitoring, with instances of toxicity and rejection occurring when trough concentrations are within 'acceptable' ranges. The correlation between blood concentration and drug exposure can be improved by use of non-trough timepoints. However, controversy exists as to whether this will provide any great benefit, given the added complexity in monitoring. Investigators are now attempting to quantify the pharmacological effects of tacrolimus on immune cells through assays that measure in vivo calcineurin inhibition and markers of immuno suppression such as cytokine concentration. To date, no studies have correlated pharmacodynamic marker assay results with immunosuppressive efficacy, as determined by allograft outcome, or investigated the relationship between calcineurin inhibition and drug adverse effects. Little is known about the magnitude of the pharmacodynamic variability of tacrolimus.

Satisfaction with medical rehabilitation after spinal cord injury

Study Design. Retrospective Objective. To predict satisfaction with medical rehabilitation. Summary of Background Data. While spinal cord injury (SCI) patient satisfaction with life and community services has been investigated, satisfaction with medical rehabilitation has not. Methods. Information submitted to the Uniform Data System for Medical Rehabilitation ( 1998 - 2001) by 134 hospitals/rehabilitation facilities in the United States (n = 6,205 patients with SCI) was examined. Predictors were sociodemographic variables, Case Mix Groupings (CMG) ( 401 - 505, 5001), length of stay, rehospitalization, followup therapy, and health maintenance. Satisfaction was assessed at a mean of 92.2 days (SD 11.9 days) postdischarge. Data were analyzed according to who reported the outcome ( patient, n = 3,858 or family/other, n = 1,869). Statistical modeling was conducted using logistic regression. Results. High overall satisfaction was reported (94%). Significant predictors for the patient report data were CMG and rehospitalization. Compared with CMG 5001 ( short stay,