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Noncompliance with immunosuppression regimes could have explained some of the differences, but rates of acute rejection between 3�C12 months post transplantation (a surrogate marker for noncompliance) did not differ between groups, suggesting that this was not the main responsible factor. It has previously been suggested that psycho-social factors relating to relative deprivation rather than the absolute level of deprivation explains the influence of socio-economic status on health (37�C39). The theory that relative deprivation leads to less autonomy, weaker social affiliations and more stress in early life affecting health http://www.selleckchem.com/products/PLX-4032.html both directly (through biological stress pathways) and indirectly (through negative health behavior such as smoking, drinking excessively and unhealthy eating) is difficult to prove but may explain some of the observed differences. The income deprivation index used here is derived based on the proportion of individuals residing in each area receiving state provided income support. It is not a measure of income and therefore although we can say that the absence of deprivation is a good prognostic indicator, we cannot extrapolate that increasing affluence confers better graft survival. It is not possible to say whether there is a binary relationship between http://www.selleckchem.com/products/INCB18424.html income deprivation and graft survival or whether the relationship is analogue. We divided our patients into two groups as the number of patients would not allow accurate survival plots for smaller groups, but if the study was to be repeated with more patients it may be possible to better define such a threshold. In conclusion, socioeconomic deprivation adversely influences outcomes for patients following http://www.selleck.cn/products/U0126.html renal transplantation, with transplant recipients from the more deprived areas experiencing higher rates of acute rejection and poorer graft survival following rejection. Socio-economic deprivation should be considered when analyzing results following transplantation, and addressing social inequalities should be a priority if we are to further improve outcomes. ""Donors after cardiac death (DCD) could increase the organ pool. Data supports good long-term renal graft survival. However, DCDs are