An evaluation of hospital breastfeeding policies in the Philadelphia metropolitan area 1994-2009: a comparison with the baby-friendly hospital initiative ten steps.

OBJECTIVE: The purpose of this study was to describe current breastfeeding policies and practices among Philadelphia, PA metropolitan hospitals and changes in their policies and practices over time. METHODS: In-person group interviews were conducted to obtain a composite picture of actual breastfeeding policies and practices. One questionnaire per hospital was completed based on responses from group consensus. Twenty-five hospitals providing maternity care were contacted. Information was obtained from personnel representing different areas of maternity services. Hospitals were classified according to the degree to which they were implementing the Ten Steps to Successful Breastfeeding. RESULTS: Mean breastfeeding rates at suburban hospitals were significantly higher than urban hospitals (72% vs. 49%, p = 0.015). Most hospitals were classified as high or moderately high implementers on six of the Ten Steps, including staff training (67%), printed information distributed to breastfeeding mothers (94%), breastfeeding initiation (61%), oral breastfeeding instruction given to mothers (83%), infant feeding schedules (89%), and hospital postpartum support (83%). Most hospitals reported partial or low implementation on two maternity practices: infant formula supplementation (61%) and rooming-in (72%). CONCLUSIONS: In the past 15 years, hospitals in the Philadelphia area have an increased awareness about breastfeeding and enhanced support of breastfeeding by healthcare professionals. In spite of an increase in overall breastfeeding rates, formula supplementation in hospitals and contact time between mothers and their newborns continue to be areas of concern

Teaching health advocacy to medical students: a comparison study.

CONTEXT: Many encourage service learning and health advocacy training in medical student education, but related evaluation is limited. OBJECTIVES: To assess (1) impact of a required community health advocacy training for medical students on student attitudes, knowledge, and skills; (2) student characteristics associated with higher advocacy knowledge and skills; and (3) perspectives of community-based organizations (CBOs). DESIGN: Cross-sectional surveys. SETTING: University of Miami Miller School of Medicine (UMMSM) Regional Medical Campus and main campus. PARTICIPANTS: Medical students at both UMMSM campuses. INTERVENTION: Required community health advocacy training for first- and second-year students including classroom experiences and hands-on project in partnership with a CBO. MAIN OUTCOME MEASURES: Student characteristics, health advocacy-related attitudes, self-reported and objective knowledge, and skills. Scores were compared between campuses, with multivariable modeling adjusting for individual student characteristics. Community-based organization perspectives were assessed via separate surveys. RESULTS: Ninety-eight (77%) regional campus students (intervention group) and 139 (30%) main campus students (comparison group) completed surveys. Versus the comparison group, the intervention group reported greater: mean knowledge of community health needs: 34.6 versus 31.1 (range: 11-44, P \u3c .01), knowledge about CBOs: 3.0 versus 2.7 (range 1-4, P \u3c .01) and knowledge of community resources: 5.4 versus 2.3 (range, 0-11, P \u3c .01), and mean skill scores: 12.7 versus 10.5 (score range: 4-16, P \u3c .01), following the intervention. Using adjusted analysis across both groups, female gender was associated with higher attitudes score. High level of previous community involvement was associated with higher attitude and skill scores. Higher self-reported educational debt was associated with higher skill scores. Community-based organization perspectives included high satisfaction and a desire to influence the training of future physicians. CONCLUSIONS: Medical student advocacy training in partnership with community-based organizations could be beneficial in improving student advocacy knowledge and skills in addressing community health issues and in developing sustainable community partnerships

Breast cancer family history and allele-specific DNA methylation in the Legacy Girls Study

Family history, a well-established risk factor for breast cancer, can have both genetic and environmental contributions. Shared environment in families as well as epigenetic changes that also may be influenced by shared genetics and environment may also explain familial clustering of cancers. Epigenetic regulation, such as DNA methylation, can change the activity of a DNA segment without a change in the sequence; environmental exposures experienced across the life course can induce such changes. However, genetic-epigenetic interactions, detected as methylation quantitative trait loci (mQTLs; a.k.a. meQTLs) and haplotype-dependent allele-specific methylation (hap-ASM), can also contribute to inter-individual differences in DNA methylation patterns. To identify differentially methylated regions (DMRs) associated with breast cancer susceptibility, we examined differences in white blood cell DNA methylation in 29 candidate genes in 426 girls (ages 6-13 years) from the LEGACY Girls Study, 239 with and 187 without a breast cancer family history (BCFH). We measured methylation by targeted massively parallel bisulfite sequencing (bis-seq) and observed BCFH DMRs in two genes: ESR1 (Δ4.9%, P = 0.003) and SEC16B (Δ3.6%, P = 0.026), each of which has been previously implicated in breast cancer susceptibility and pubertal development. These DMRs showed high inter-individual variability in methylation, suggesting the presence of mQTLs/hap-ASM. Using single nucleotide polymorphisms data in the bis-seq amplicon, we found strong hap-ASM in SEC16B (with allele specific-differences ranging from 42% to 74%). These findings suggest that differential methylation in genes relevant to breast cancer susceptibility may be present early in life, and that inherited genetic factors underlie some of these epigenetic differences

Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2

Background: The distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system. Methods: Data for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong). Results: No histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis. Conclusions: We provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management.</p

Thromboembolic, bleeding, and mortality risks among patients with nonvalvular atrial fibrillation treated with dual antiplatelet therapy versus oral anticoagulants: A population-based study.

BACKGROUND: Dual antiplatelet therapy (DAPT) with aspirin plus clopidogrel is used for stroke prevention in patients with atrial fibrillation (AF) who refuse to take use oral anticoagulants (OACs). However, clinical data comparing these treatments are limited. OBJECTIVE: The purpose of this study was to compare the clinical outcomes between DAPT and OAC in patients with AF. METHODS: A cohort study using a population-wide database of the Hong Kong Hospital Authority was performed. New patients with AF from 2010-2014 who were prescribed DAPT or OAC (warfarin or dabigatran) were followed until July 31, 2016. Outcomes were thromboembolism, bleeding, and death. Propensity score (PS) matching at a ratio of 1:2 was used to select DAPT users with characteristics similar to those of OAC users, analyzed using Poisson regression. RESULTS: Among 51,946 new patients with AF, 8520 users of OAC and DAPT were identified. The likelihood of receiving DAPT over OAC increased with older age and previous intracranial hemorrhage. Among DAPT users, the incidences of thromboembolism, death, and bleeding per 100 patient-years were 15.8, 17.6, and 5.1, respectively. Compared to DAPT users, PS-matched analysis indicated a lower incidence of thromboembolism and/or death among OAC users (dabigatran: incidence rate ratio [IRR] 0.32; 95% confidence interval [CI] 0.19-0.55; warfarin: IRR 0.58; 95% CI 0.36-0.95), with no significant differences in bleeding events. CONCLUSION: DAPT users were at markedly increased risk for thromboembolism and death compared to OAC users. These findings indicate the need for improved stroke risk reduction strategies among patients taking DAPT and the opportunities for using OAC in high-risk groups to prevent additional events

Determining propensity for sub-optimal low-density lipoprotein cholesterol response to statins and future risk of cardiovascular disease

Background: Variability in low-density lipoprotein cholesterol (LDL-C) response to statins is underappreciated. We characterised patients by their statin response (SR), baseline risk of cardiovascular disease (CVD) and 10-year CVD outcomes.Methods and Results: A multivariable model was developed using 183,213 United Kingdom (UK) patients without CVD to predict probability of sub-optimal SR, defined by guidelines as <40% reduction in LDL-C. We externally validated the model in a Hong Kong (HK) cohort (n=170,904). Patients were stratified into four groups by predicted SR and 10-year CVD risk score: [SR1] optimal SR & low risk; [SR2] sub-optimal SR & low risk; [SR3] optimal SR & high risk; [SR4] sub-optimal SR & high risk; and 10-year hazard ratios (HR) determined for first major adverse cardiovascular event (MACE).Our SR model included 12 characteristics, with an area under the curve of 0.70 (95% confidence interval [CI] 0.70–0.71; UK) and 0.68 (95% CI 0.67–0.68; HK). HRs for MACE in predicted sub-optimal SR with low CVD risk groups (SR2 to SR1) were 1.39 (95% CI 1.35–1.43, p<0.001; UK) and 1.14 (95% CI 1.11–1.17, p<0.001; HK). In both cohorts, patients with predicted sub-optimal SR with high CVD risk (SR4 to SR3) had elevated risk of MACE (UK HR 1.36, 95% CI 1.32–1.40, p<0.001: HK HR 1.25, 95% CI 1.21–1.28, p<0.001). Conclusions: Patients with sub-optimal response to statins experienced significantly more MACE, regardless of baseline CVD risk. To enhance cholesterol management for primary prevention, statin response should be considered alongside risk assessment

Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool.

BACKGROUND: iPrevent is an online breast cancer (BC) risk management decision support tool. It uses an internal switching algorithm, based on a woman's risk factor data, to estimate her absolute BC risk using either the International Breast Cancer Intervention Study (IBIS) version 7.02, or Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm version 3 models, and then provides tailored risk management information. This study assessed the accuracy of the 10-year risk estimates using prospective data. METHODS: iPrevent-assigned 10-year invasive BC risk was calculated for 15 732 women aged 20-70 years and without BC at recruitment to the Prospective Family Study Cohort. Calibration, the ratio of the expected (E) number of BCs to the observed (O) number and discriminatory accuracy were assessed. RESULTS: During the 10 years of follow-up, 619 women (3.9%) developed BC compared with 702 expected (E/O = 1.13; 95% confidence interval [CI] =1.05 to 1.23). For women younger than 50 years, 50 years and older, and BRCA1/2-mutation carriers and noncarriers, E/O was 1.04 (95% CI = 0.93 to 1.16), 1.24 (95% CI = 1.11 to 1.39), 1.13 (95% CI = 0.96 to 1.34), and 1.13 (95% CI = 1.04 to 1.24), respectively. The C-statistic was 0.70 (95% CI = 0.68 to 0.73) overall and 0.74 (95% CI = 0.71 to 0.77), 0.63 (95% CI = 0.59 to 0.66), 0.59 (95% CI = 0.53 to 0.64), and 0.65 (95% CI = 0.63 to 0.68), respectively, for the subgroups above. Applying the newer IBIS version 8.0b in the iPrevent switching algorithm improved calibration overall (E/O = 1.06, 95% CI = 0.98 to 1.15) and in all subgroups, without changing discriminatory accuracy. CONCLUSIONS: For 10-year BC risk, iPrevent had good discriminatory accuracy overall and was well calibrated for women aged younger than 50 years. Calibration may be improved in the future by incorporating IBIS version 8.0b

Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers

Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 x 10(53)). In BRCA2 carriers, the strongest association with BC risk was seen for the overall BC PRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 x 10(-20)). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management