38 research outputs found

    Practice survey: adherence monitoring and intervention in pediatric gastroenterology and hepatology

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    Michele H Maddux,1,2 Shawna Ricks,2 Julie A Bass,2 James F Daniel,2 Ellen Carpenter,2 Kimberely Radford2 1Division of Developmental and Behavioral Sciences, Children’s Mercy-Kansas City, Kansas City, MO, USA; 2Division of Gastroenterology, Children’s Mercy-Kansas City, Kansas City, MO, USA Purpose: Despite significant medication nonadherence rates among youth with pediatric gastroenterology and hepatology disorders, little is known about current adherence practices in pediatric gastroenterology care. This study summarizes current practices surrounding adherence monitoring and intervention in pediatric gastrointestinal (GI) and hepatologic care in the USA.Participants and methods: One hundred and fifty-four pediatric GI providers completed an online survey designed to examine current practices surrounding adherence monitoring and intervention, specific strategies used to monitor and treat poor adherence, and the barriers currently experienced in relation to adherence monitoring and intervention.Results: Practices varied greatly in terms of when and how patient adherence is monitored and by whom; however, physicians and nursing professionals take primary responsibility for adherence monitoring. Approximately 25% utilize screeners to assess adherence, and most participants use patient and caregiver reports as a primary measure of adherence. Most participants rated their level of adherence monitoring and intervention as fair to poor. While most participants perceive adherence monitoring to be very important in clinical practice, only 20.8% perceive being able to significantly modify patient adherence.Conclusion: There exists great variability in adherence monitoring and intervention practices across pediatric GI providers. Greater understanding of current adherence practices can inform future clinical efforts. Keywords: adherence, screening, clinical practice, intervention, complianc

    Identification of genetic risk associated with prostate cancer using ancestry informative markers

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    BACKGROUND: Prostate cancer (PCa) is a common malignancy and a leading cause of cancer death among men in the United States with African-American (AA) men having the highest incidence and mortality rates. Given recent results from admixture mapping and genome-wide association studies for PCa in AA men, it is clear that many risk alleles are enriched in men with West African genetic ancestry. METHODS: A total of 77 ancestry informative markers (AIMs) within surrounding candidate gene regions were genotyped and haplotyped using Pyrosequencing in 358 unrelated men enrolled in a PCa genetic association study at the Howard University Hospital between 2000 and 2004. Sequence analysis of promoter region single-nucleotide polymorphisms (SNPs) to evaluate disruption of transcription factor-binding sites was conducted using in silico methods. RESULTS: Eight AIMs were significantly associated with PCa risk after adjusting for age and West African ancestry. SNP rs1993973 (intervening sequences) had the strongest association with PCa using the log-additive genetic model (P = 0.002). SNPs rs1561131 (genotypic, P = 0.007), rs1963562 (dominant, P = 0.01) and rs615382 (recessive, P = 0.009) remained highly significant after adjusting for both age and ancestry. We also tested the independent effect of each significantly associated SNP and rs1561131 (P = 0.04) and rs1963562 (P = 0.04) remained significantly associated with PCa development. After multiple comparisons testing using the false discovery rate, rs1993973 remained significant. Analysis of the rs156113–, rs1963562–rs615382l and rs1993973–rs585224 haplotypes revealed that the least frequently found haplotypes in this population were significantly associated with a decreased risk of PCa (P = 0.032 and 0.0017, respectively). CONCLUSIONS: The approach for SNP selection utilized herein showed that AIMs may not only leverage increased linkage disequilibrium in populations to identify risk and protective alleles, but may also be informative in dissecting the biology of PCa and other health disparities
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