This project evaluated if by focusing on process changes and tool use rather than key indicator rates, the use of evidence-based therapies in patients with acute myocardial infarction (AMI) would ...increase.
The use of tools designed to improve quality of care in the American College of Cardiology AMI Guidelines Applied in Practice Pilot Project resulted in improved adherence to evidence-based therapies for patients, but overall, tool use was modest.
The current project, implemented in five hospitals, was modeled after the previous project, but with greater emphasis on tool use. This allowed early identification of barriers to tool use and strategies to overcome barriers. Main outcome measures were AMI quality indicators in pre-measurement (January 1, 2001 to June 30, 2001) and post-measurement (December 15, 2001 to March 31, 2002) samples.
One or more tools were used in 93% of patients (standard orders = 82%, and discharge document = 47%). Tool use was associated with significantly higher adherence to most discharge quality indicator rates with increases in aspirin, angiotensin-converting enzyme inhibitors, and smoking cessation and dietary counseling. Patients undergoing coronary artery bypass grafting (CABG) had low rates of discharge indicators. Patients undergoing percutaneous coronary revascularization were more likely to receive evidence-based therapies.
These data validate the results of the pilot project that quality of AMI care can be improved through the use of guideline-based tools. Identifying and overcoming barriers to tool use led to substantially higher rates of tool use. The low rates of adherence to quality indicators in patients undergoing CABG suggest that these patients should be particularly targeted for quality improvement efforts.
Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few ...have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5x10(-8) : seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained <= 20 variants in the credible sets that jointly account for 99% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.
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