Results from previous Bethesda assays and information on the base

Results from previous Bethesda assays and information on the baseline severity of hemophilia, age at enrollment, and biologic relationships

CDK inhibitor among study patients were obtained from review of the patients’ medical charts. We used multivariable logistic regression to control for these potential confounders while testing for associations between F8 haplotype and the development of inhibitors.


Of the 78 black patients with hemophilia enrolled, 24% had an H3 or H4 background haplotype. The prevalence of inhibitors was higher among patients with either of these haplotypes than among patients with haplotype H1 or H2 (odds ratio, 3.6; 95% confidence interval, 1.1 to 12.3; P = 0.04), despite a similar spectrum of hemophilic mutations and PS-341 degree of severity of illness in these two subgroups.


These preliminary results suggest that mismatched factor VIII replacement therapy may be a risk factor for the development of anti-factor VIII alloantibodies.”
“Background. This article examines how different parameterizations of age and time in modeling observational longitudinal data can affect results.

Methods. When individuals of different ages at study entry are considered, it becomes necessary to distinguish between longitudinal and cross-sectional differences to overcome possible selection biases.

Results. Various

models were fitted using data from longitudinal studies with participants with different ages and different follow-up lengths. Decomposing age into two components-age at entry into the study (first age) and the longitudinal follow-up (time) compared with considering age alone-leads to different conclusions.

Conclusions. In general, models using both first age and time terms performed better, and these terms are usually necessary to correctly analyze longitudinal data”

Despite a consensus that the use of health information technology should lead to more efficient, safer, and higher-quality care, there are no reliable estimates of the prevalence of adoption of electronic health records in U. S. hospitals.


We surveyed

all acute care hospitals that are members of the American Hospital Association for the presence of specific electronic-record functionalities. Using a definition of electronic health records based on expert consensus, we determined the proportion of hospitals that had such systems in their clinical areas. Fluocinolone acetonide We also examined the relationship of adoption of electronic health records to specific hospital characteristics and factors that were reported to be barriers to or facilitators of adoption.


On the basis of responses from 63.1% of hospitals surveyed, only 1.5% of U. S. hospitals have a comprehensive electronic-records system (i.e., present in all clinical units), and an additional 7.6% have a basic system (i.e., present in at least one clinical unit). Computerized provider-order entry for medications has been implemented in only 17% of hospitals.

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