Pilot study of a brief provider and EMR-based intervention for overweight teens with asthma

INTRODUCTION: Asthma-related morbidity is increased in overweight patients, yet providers are given little guidance on how to discuss weight and asthma management with overweight teens. OBJECTIVE: We piloted an electronic medical record (EMR)-based tailored discussion guide (TDG) and a brief provider training, to address weight management in overweight teens with asthma. The primary outcome was intervention impact on patient-reported asthma outcomes (e.g., asthma control and morbidity). Secondary outcomes included change in BMI, patient-centeredness, and change in healthy behaviors. METHODS: Teens aged 13-18 years with persistent asthma and a body mass index ≥ 85th percentile for their age and sex were eligible. Parents of eligible teens were contacted before an upcoming appointment to allow teen enrollment during the clinic visit. Providers reviewed Motivational Interviewing (MI) concepts and were trained in the TDG for support of conversations around weight and asthma management. Measures included asthma outcomes retrieved from the EMR at 6- and 12-month post-baseline, teen impressions of patient-provider communication at 6-week post-enrollment, and teen report of healthy behaviors at 6- and 12-month post-baseline. RESULTS: Of 44 teens enrolled (77% African-American, 63% female), mean BMI for intervention (n=25) and control groups (n=19) at baseline were similar. Thirty participants (68%) completed a 6-week questionnaire. Compared to controls, at 6 months, intervention teens reported fewer days of limited activity and uncontrolled asthma, but at 12 months, only restricted activity remained lower, and BMI was not reduced. Intervention teens reported clinic visits that were more patient-centered than controls, including discussion of asthma treatment options with provider, feeling ready to follow an asthma treatment routine, and receiving helpful tips about reaching a healthy weight. The healthy behavior dinner with family showed improvement for intervention teens at 6 and 12 months. The feasibility study also revealed a need to improve recruitment strategies and to streamline intervention delivery. CONCLUSION: Modest improvements in patient-reported asthma outcomes and health behaviors were observed. There was strong evidence that the TDG supports provider discussion of weight and asthma to create a more patient-centered conversation from the perspective of participating teens. Challenges to recruitment and clinic adaptation must be addressed before advancing to a full-scale trial. TRIAL REGISTRATION: NCT02575326 Teen Asthma Control Encouraging a Healthier Lifestyle, www.cllinicaltrials.gov

Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithms

In this paper we present a novel tool, using both OpenMP and MPI protocols, for optimising the efficiency of Urban Transportation Systems within a defined catchment, town or city. We build on a previously presented model which uses a Genetic Algorithm with novel genetic operators to optimise route sets and provide a transport network for a given problem set. This model is then implemented within a Parallel Multi-Objective Genetic Algorithm and demonstrated to be scalable to within the scope of real world, [city-wide], problems. This paper compares and contrasts three methods of parallel distribution of the Genetic Algorithm's computational workload: a job farming algorithm and two variations on an ‘Islands’ approach. Results are presented in the paper from both single and mixed mode strategies. The results presented are from a range of previously published academic problem sets. Additionally a real world inspired problem set is evaluated and a visualisation of the optimised output is given

A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants.

This is the author accepted manuscript. The final version is available from Nature Publishing Group via http://dx.doi.org/10.1038/ng.3448Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.We thank all participants of all the studies included for enabling this research by their participation in these studies. Computer resources for this project have been provided by the high-performance computing centers of the University of Michigan and the University of Regensburg. Group-specific acknowledgments can be found in the Supplementary Note. The Center for Inherited Diseases Research (CIDR) Program contract number is HHSN268201200008I. This and the main consortium work were predominantly funded by 1X01HG006934-01 to G.R.A. and R01 EY022310 to J.L.H

Causal effect of plasminogen activator inhibitor type 1 on coronary heart disease

Background--Plasminogen activator inhibitor type 1 (PAI-1) plays an essential role in the fibrinolysis system and thrombosis. Population studies have reported that blood PAI-1 levels are associated with increased risk of coronary heart disease (CHD). However, it is unclear whether the association reflects a causal influence of PAI-1 on CHD risk. Methods and Results--To evaluate the association between PAI-1 and CHD, we applied a 3-step strategy. First, we investigated the observational association between PAI-1 and CHD incidence using a systematic review based on a literature search for PAI-1 and CHD studies. Second, we explored the causal association between PAI-1 and CHD using a Mendelian randomization approach using summary statistics from large genome-wide association studies. Finally, we explored the causal effect of PAI-1 on cardiovascular risk factors including metabolic and subclinical atherosclerosis measures. In the systematic meta-analysis, the highest quantile of blood PAI-1 level was associated with higher CHD risk comparing with the lowest quantile (odds ratio=2.17; 95% CI: 1.53, 3.07) in an age- and sex-adjusted model. The effect size was reduced in studies using a multivariable-adjusted model (odds ratio=1.46; 95% CI: 1.13, 1.88). The Mendelian randomization analyses suggested a causal effect of increased PAI-1 level on CHD risk (odds ratio=1.22 per unit increase of log-transformed PAI-1; 95% CI: 1.01, 1.47). In addition, we also detected a causal effect of PAI-1 on elevating blood glucose and high-density lipoprotein cholesterol. Conclusions--Our study indicates a causal effect of elevated PAI-1 level on CHD risk, which may be mediated by glucose dysfunction

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

Overweight adolescents and asthma: Revealing motivations and challenges with adolescent-provider communication

OBJECTIVE: Among teens with asthma, challenges of disease management may be greater in those with a body mass index (BMI) \u3e85th percentile compared to youth within the parameters for normal weight-for-age. This mixed-methods study assessed teens\u27 awareness of the link between weight and asthma management, and perspectives on how medical providers might open a discussion about managing weight. METHOD: Teens aged 13-18, having BMI \u3e85 percentile and chronic asthma, identified using health system databases and a staff email message board, were invited to complete a semi-structured, in-depth phone interview. Interviews were audio taped, transcribed, and qualitatively analyzed, using the Framework Method. Responses were summarized and themes identified. Descriptive summaries were generated for a 16-item survey of weight conversation starters. RESULTS: Of 35 teens interviewed, 24 (69%) were girls, 11 (31%) boys, 20 (63%) African-American. All teens reported having the weight conversation with their doctors, and preferred that parents be present. Half knew from their doctor about the link between being overweight and asthma, others knew from personal experience. Nearly all expressed the importance of providers initiating a weight management conversation. Most preferred conversation starters that recognized challenges and included parents\u27 participation in weight management; least liked referred to carrying around too much weight. CONCLUSIONS: Most teens responded favorably to initiating weight loss if it impacted asthma management, valued their provider addressing weight and family participation in weight management efforts. Adolescents\u27 views enhance program development fostering more effective communication targeting weight improvement within the overall asthma management plan

Bridging the Patient Engagement Gap in Research and Quality Improvement Utilizing the Henry Ford Flexible Engagement Model

Purpose: This paper was intended to share a flexible engagement model (FEM) for organizing a structure to obtain patient input regarding health care operations and research, provide greater detail on recruitment, retention, and dissemination strategies, and demonstrate successes and potential applications in other health care settings. Methods: Utilizing a pragmatic approach, the Patient-Engaged Research Center (PERC) at Henry Ford Health System developed the FEM, a 7-step process to introduce interested patients/caregivers to the patient advisor program and to follow up with placements. PERC developed a meeting evaluation to measure participant satisfaction. Retention and dissemination methods to keep participants consistently engaged included monthly email blasts, an annual patient advisor retreat, and inviting patient advisors to attend/present at local and national conferences. Results: As of January 2020, the program had 419 patient advisors. Almost 50% self-reported as Caucasian and 31% as African American; 73% were women, and most were 45–74 years of age. Recruitment methods proved effective, as 85% of advisors were initially engaged through print and digital marketing. Mean advisor orientation workshop evaluation scores regarding content, facilitators, and logistics were high, with all 4.5 or higher on a Likert scale of 1 (strongly negative) to 5 (strongly positive). Conclusions: Given the FEM’s flexible nature and adaptability, PERC has been successful in effectively leveraging the patient voice and experiences in research and health care delivery. Further research could investigate the model’s generalizability, return on investment, and how to formally embed its methodology institutionally

A flexible model for patient engagement: Achieving quality outcomes and building a research agenda for head and neck cancer

BACKGROUND: This article describes the benefits of patient-driven research in the field of head and neck oncology, reviews lessons learned from establishing partnerships with patients and caregivers, and serves as a model for further patient-driven research endeavors. METHODS: Head and neck cancer survivors underwent training including that of effective communication and the basics of research methodology. They then drove the agendas for monthly meetings that included a multidisciplinary team of providers, facilitated by a physician champion (S.S.C.). RESULTS: The advisors reported concrete areas for improvement of the clinical flow, including the formation of a dental oncology clinic and a post-treatment survivorship clinic. They also refined research topics of interest, such as treatment regret. The advisors have also driven efforts to increase public awareness and have participated in cancer symposiums and local presentations. CONCLUSION: Patient-driven research improves the relevance and implementation of head and neck oncology research and clinical processes