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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The role of complement in primary allograft immune response

Pratt, Julian Roy January 1998 (has links)
No description available.
2

The effect of monosilic acid on the dynamics of aluminium in humans

Bellia, Jason Paul January 1996 (has links)
No description available.
3

Influence of cytokine gene polymorphisms on kidney transplant outcome : the case of IFN-γ

Asderakis, Argiris January 2008 (has links)
Samples from 93 of 115 consecutive cadaveric renal transplants were selected to define polymorphisms in both IFN-γ and IL-10. A 12 CA repeat IFN-γ polymorphic allele was found in 73 patients (70 in patients analysed further). This polymorphism was associated with high IFN-γ production in vitro. According to the presence or not of the 12 CA repeat allele patients were separated in high and low producer genotype groups. The incidence of acute rejection was 54.3% in this high IFN-γ genotype group, contrasting with 44.4% in the low IFN-γ. Requirement for ATG therapy was greater in the high IFN-γ group (odds ratio [OR]=2.5). Among HLA-DR-mismatched patients, IFN-γ high producer genotype was more strongly associated with rejection (OR=1.6). In the cyclosporine monotherapy subgroup, 11 out of 14 patients with IFN-γ high genotype (78%) had acute rejection (OR=2.88, p=0.09). Graft survival was similar between the two IFN-γ groups. When the analysis was controlled for the presence of delayed graft function, 40.5% of the high IFN-γ genotype patients had serum creatinine levels above 200 micromoles/L contrasting with only 14.3% of the low IFN-γ genotype recipients at 5 years after transplantation (p=0.05). In a regression model of creatinine at 1 year the significant variables were the presence of DGF, donor age greater than 50, greater than two rejection episodes, DR mismatch, donor female to male recipient sex, IL-10 high genotype, and IFN-γ high genotype. Conclusion: The 12 CA repeat IFN-γ polymorphic allele is associated with high IFN-γ production. We have shown that this high producer genotype for IFN-γ influences acute rejection in kidney transplantation, particularly in high-risk groups; it is also associated with worse long-term graft function.
4

Predictors Of Immunosuppressant Adherence In Long-term Renal Transplant Recipients

Galura, Sandra J 01 January 2012 (has links)
To sustain the health and viability of renal transplants, adherence to immunosuppressant therapy (IST) medications is critical. Studies continue to identify decreased adherence rates as time from transplant increases (Chisholm-Burns, Kwong, Mulloy & Spivey, 2008; Chisholm, Lance, Mulloy, 2005; Chisholm, Mulloy, & DiPiro, 2005; Nivens & Thomas, 2009). While previous research has explored the effect of variables known to influence IST adherence in adult renal transplant recipients, limited studies have explored these variables in a population of renal transplant recipients with longer time posttransplant intervals. The purpose of this study was to examine demographic variables, time posttransplant, immunosuppressive agents, health beliefs, social support, and symptom experience and test their relationship to adherence in a population of long-term renal transplant recipients. A cross-sectional correlational design was used to collect data from a convenience sample of 98 adult renal transplant recipients who were three or more years from transplant. Participants completed five instruments: 1) demographic survey, 2) the Beliefs About Medicines Questionnaire (BMQ), 3) the Medical Outcomes Study (MOS) Modified Social Support Survey (MSSS), 4) the Basel Assessment of Adherence with Immunosuppressive Medication Scales (BAASIS), and 5) the Modified Transplant Symptom Occurrence and Symptom Distress Scale- 59R (MTSOSD-59R). A composite adherence score (CAS) consisting of a self-report measure of adherence (BAASIS), nontherapeutic serum drug assay, and collateral report of adherence as provided by two transplant clinic professionals was used to determine final adherence group classification (adherent/nonadherent). Analysis of the relationship between all independent variables and adherence was conducted using Spearman’s rho correlation coefficient. Mean scores for medication complexity, health beliefs, social support, and symptom experience were 4 compared between age, gender, and time posttransplant groups using independent-samples t tests. A logistic regression prediction of probability was conducted to determine which of the variables that demonstrated a significant relationship to adherence were most predictive of adherence. Of the total sample population (N = 98), 39.8% (n = 39) were classified as adherent and 60.2% (n = 59) were nonadherent. Results demonstrated no significant relationship between age (continuous variable), time posttransplant, immunosuppressant medications (measured by a medication complexity index), health beliefs, symptom experience, and adherence. Weak, but significant relationships between age groups (r = -.213, p=.035), tangible social support (r = .215, p =.017), emotional informational social support (r = .274, p = .003), positive social interaction support (r = .199, p = .025), total overall social support (r = .274, p =.003) and composite adherence group classification were found. Older participants ( > 55 yrs) were significantly less adherent than younger ( < 54 yrs) participants. Mean scores for emotional / informational (EMI), positive social interaction (POS), and total social support (MSSS) were significantly lower in nonadherent participants. Regression results indicated the overall model of two predictors (age grouped [ < 54 yrs; > 55 yrs] and EMI social support subscale) was statistically reliable in distinguishing between adherent and nonadherent participants (-2 Log Likelihood 116.244; Goodness-of-Fit x 2 (2) = 13.664, p = .001), correctly classifying 69.1% of the cases. Findings from this study contribute to the body of research exploring predictors of immunosuppressant adherence in long-term renal transplant recipients. Data suggest both younger age (< 55) and categories of social support predict adherence in long-term renal transplant recipients. Healthcare providers caring for renal transplant recipients long-term 5 should consider annually assessing older participants for adherence as well as for changes in social networks.

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