Characterization of recombinant class I MHC alloantigen action upon the survival of disparate heart allografts

Previous studies have led to the development of allochimeric class I MHC proteins as agents that effectively induce donor-specific transplantation tolerance in a rat system with or without additional immunosuppression. Within the α1-helical region of RT1.Au, an epitope that conferred immunologic tolerance was discovered. Studies presented herein were designed to test our central hypothesis that allochimeric proteins onfer tolerance in a mouse model. To test this hypothesis, portal vein (PV) injection of wild-type H2Kd and H2Dd proteins were produced in a bacterial expression system and found to specifically prolong the survival of BALB/c (H2d) heart allografts in C57BL/10 (H2b) recipients. Although a single PV injection of 50 μg α1–α 3 H2Kd alone was ineffective, 50 μg α1 –α3 alone slightly prolonged BALB/c heart allograft survivals. In contrast, the combination of 25 μg α1–α 3 H2Kd and 25 μg α1–α 3 H2Dd proteins prolonged BALB/c graft survivals to 20.2 ± 6.4 days (p < 0.004). The effect was donor-specific, since a combination of 25 μg α1–α3 H2Kd and 25 μg α1–α3 H2Dd proteins failed to affect survivals of third-party C3H (H2k k) heart allografts, namely 9.0 ± 0.0 days in treated versus 7.8 ± 0.5 days in untreated hosts. Thus, the combination of two H2K d and H2Dd proteins is more effective in prolonging allograft survival than a single protein produced in a bacterial expression system. A single PV injection (day 0) of 25 μg α1–α 2 H2Kd and 25 μg α1–α 2 H2Dd proteins to C57BL/10 mice prolonged the survival of BALB/c heart allografts to 22.4 ± 4.5 days. Within a WF to ACI rat heart allograft system, a single PV injection of 20 μg 70–77 u-RT1.Aa induced specific tolerance of allografts. This therapy could be combined with CsA to induce transplantation tolerance. However, combination of 70–77u-RT1.Aa with CTLA4Ig, rapamycin, or AG-490 effectively blocked the induction of transplantation tolerance. Tolerance generated by allochimeric protein could be adoptively transferred to naive recipients. Intragraft cytokine mRNA levels showed a bias towards a Th2-type phenotype. Additionally, studies of cytokine signaling and activation of transcription factors revealed a requirement that these pathways remain available for signaling in order for transplantation tolerance to occur. These studies suggest that the generation of regulatory cells are required for the induction of transplantation tolerance through the use of allochimeric proteins. ^

Attributing inpatient care to diabetes: The case of Medicare for the elderly in Texas, 1995

Specific aims. This study estimated the accuracy of alternative numerator methods for attributing health care utilization and associated costs to diabetes by comparing findings from those methods with findings from a benchmark denominator method. ^ Methods. Using Medicare's 1995 inpatient and enrollment databases for the elderly in Texas, the researcher developed alternative estimates of costs attributable to diabetes. Among alternative numerator methods were selection of all records having diabetes as a principal or secondary diagnosis, and a complex ICD-9-CM sorting routine as previously developed for study of diabetes costs in Texas. Findings from numerator methods were compared with those from a benchmark denominator method based on attributable risk and adapted from a study of national diabetes costs by the American Diabetes Association. This study applied age, gender and ethnicity specific estimates of diabetes prevalence taken from the 1987–94 National Health Interview Surveys to person-months of Medicare Part A, non-HMO enrollment for Texas in 1995. Outcome measures were number of persons identified as having diabetes using alternative definitions of the disease; and number of hospital stays, patient days, and costs using alternative methods for attributing care and costs to diabetes. Cost estimates were based on Medicare payments plus deductibles, co-pays and third party payments. ^ Findings. Numerator methods for attributing costs to diabetes produced findings quite different than those from the benchmark denominator method. When attribution was based on diabetes as principal or secondary diagnosis, the resulting estimates were significantly higher than those obtained from the denominator method. The more complex sorting routine produced estimates near the lower boundary for the confidence interval associated with estimates from the benchmark method. ^ Conclusions. Numerator methods employed by previous researchers poorly estimate the costs of diabetes. While crude mathematical adjustment can be made to the respective numerator approaches, a more useful strategy would be to refine the complex sorting routine to include more hospitalizations. This report recommends approaches to improving methods previously employed in study of diabetes costs. ^

A comparative state policy analysis of the adoption of birth defects surveillance legislation

Birth defects are the leading cause of infant mortality in the United States and are a major cause of lifetime disability. However, efforts to understand their causes have been hampered by a lack of population-specific data. During 1990–2004, 22 state legislatures responded to this need by proposing birth defects surveillance legislation (BDSL). The contrast between these states and those that did not pass BDSL provides an opportunity to better understand conditions associated with US public health policy diffusion. ^ This study identifies key state-specific determinants that predict: (1) the introduction of birth defects surveillance legislation (BDSL) onto states' formal legislative agenda, and (2) the successful adoption of these laws. Secondary aims were to interpret these findings in a theoretically sound framework and to incorporate evidence from three analytical approaches. ^ The study begins with a comparative case study of Texas and Oregon (states with divergent BDSL outcomes), including a review of historical documentation and content analysis of key informant interviews. After selecting and operationalizing explanatory variables suggested by the case study, Qualitative Comparative Analysis (QCA) was applied to publically available data to describe important patterns of variation among 37 states. Results from logistic regression were compared to determine whether the two methods produced consistent findings. ^ Themes emerging from the comparative case study included differing budgetary conditions and the significance of relationships within policy issue networks. However, the QCA and statistical analysis pointed to the importance of political parties and contrasting societal contexts. Notably, state policies that allow greater access to citizen-driven ballot initiatives were consistently associated with lower likelihood of introducing BDSL. ^ Methodologically, these results indicate that a case study approach, while important for eliciting valuable context-specific detail, may fail to detect the influence of overarching, systemic variables, such as party competition. However, QCA and statistical analyses were limited by a lack of existing data to operationalize policy issue networks, and thus may have downplayed the impact of personal interactions. ^ This study contributes to the field of health policy studies in three ways. First, it emphasizes the importance of collegial and consistent relationships among policy issue network members. Second, it calls attention to political party systems in predicting policy outcomes. Finally, a novel approach to interpreting state data in a theoretically significant manner (QCA) has been demonstrated.^