Bryan C. Batch

Bio: Bryan C. Batch is an academic researcher from Duke University. The author has contributed to research in topics: Weight loss & Population. The author has an hindex of 30, co-authored 65 publications receiving 2606 citations. Previous affiliations of Bryan C. Batch include Durham University & Pennington Biomedical Research Center.

Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss.

Abstract: Aims/hypothesis Insulin resistance (IR) improves with weight loss, but this response is heterogeneous. We hypothesised that metabolomic profiling would identify biomarkers predicting changes in IR with weight loss.

Reducing Consumption of Sugar-Sweetened Beverages Is Associated With Reduced Blood Pressure A Prospective Study Among United States Adults

Abstract: Background— Increased consumption of sugar-sweetened beverages (SSBs) has been associated with an elevated risk of obesity, metabolic syndrome, and type II diabetes mellitus. However, the effects of SSB consumption on blood pressure (BP) are uncertain. The objective of this study was to determine the relationship between changes in SSB consumption and changes in BP among adults. Methods and Results— This was a prospective analysis of 810 adults who participated in the PREMIER Study (an 18-month behavioral intervention trial). BP and dietary intake (by two 24-hour recalls) were measured at baseline and at 6 and 18 months. Mixed-effects models were applied to estimate the changes in BP in responding to changes in SSB consumption. At baseline, mean SSB intake was 0.9±1.0 servings per day (10.5±11.9 fl oz/d), and mean systolic BP/diastolic BP was 134.9±9.6/84.8±4.2 mm Hg. After potential confounders were controlled for, a reduction in SSB of 1 serving per day was associated with a 1.8-mm Hg (95% confidence in...

Branched chain amino acids are novel biomarkers for discrimination of metabolic wellness

Abstract: Objective To identify novel biomarkers through metabolomic profiles that distinguish metabolically well (MW) from metabolically unwell (MUW) individuals, independent of body mass index (BMI). Materials/Methods This study was conducted as part of the Measurement to Understand the Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) project. Individuals from 3 cohorts were classified as lean (BMI 5.13). MW individuals were defined as having < 2 cardiometabolic abnormalities and MUW individuals had ≥ two cardiometabolic abnormalities. Targeted profiling of 55 metabolites used mass-spectroscopy-based methods. Principal components analysis (PCA) was used to reduce the large number of correlated metabolites into clusters of fewer uncorrelated factors. Results Of 1872 individuals, 410 were lean, 610 were overweight, and 852 were obese. Of lean individuals, 67% were categorized as MUW, whereas 80% of overweight and 87% of obese individuals were MUW. PCA-derived factors with levels that differed the most between MW and MUW groups were factors 4 (branched chain amino acids [BCAA]) [p < .0001], 8 (various metabolites) [p < .0001], 9 (C4/Ci4, C3, C5 acylcarnitines) [p < .0001] and 10 (amino acids) [p < .0002]. Further, Factor 4, distinguishes MW from MUW individuals independent of BMI. Conclusion BCAA and related metabolites are promising biomarkers that may aid in understanding cardiometabolic health independent of BMI category.

Heart Disease and Stroke Statistics—2013 Update A Report From the American Heart Association

Abstract: Author(s): Go, Alan S; Mozaffarian, Dariush; Roger, Veronique L; Benjamin, Emelia J; Berry, Jarett D; Borden, William B; Bravata, Dawn M; Dai, Shifan; Ford, Earl S; Fox, Caroline S; Franco, Sheila; Fullerton, Heather J; Gillespie, Cathleen; Hailpern, Susan M; Heit, John A; Howard, Virginia J; Huffman, Mark D; Kissela, Brett M; Kittner, Steven J; Lackland, Daniel T; Lichtman, Judith H; Lisabeth, Lynda D; Magid, David; Marcus, Gregory M; Marelli, Ariane; Matchar, David B; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Mussolino, Michael E; Nichol, Graham; Paynter, Nina P; Schreiner, Pamela J; Sorlie, Paul D; Stein, Joel; Turan, Tanya N; Virani, Salim S; Wong, Nathan D; Woo, Daniel; Turner, Melanie B; American Heart Association Statistics Committee and Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2011 Update A Report From the American Heart Association

Abstract: Rosamond, Paul D. Sorlie, Randall S. Stafford, Tanya N. Turan, Melanie B. Turner, Nathan D. Dariush Mozaffarian, Michael E. Mussolino, Graham Nichol, Nina P. Paynter, Wayne D. Ariane Marelli, David B. Matchar, Mary M. McDermott, James B. Meigs, Claudia S. Moy, Lackland, Judith H. Lichtman, Lynda D. Lisabeth, Diane M. Makuc, Gregory M. Marcus, John A. Heit, P. Michael Ho, Virginia J. Howard, Brett M. Kissela, Steven J. Kittner, Daniel T. Caroline S. Fox, Heather J. Fullerton, Cathleen Gillespie, Kurt J. Greenlund, Susan M. Hailpern, Todd M. Brown, Mercedes R. Carnethon, Shifan Dai, Giovanni de Simone, Earl S. Ford, Véronique L. Roger, Alan S. Go, Donald M. Lloyd-Jones, Robert J. Adams, Jarett D. Berry, Association 2011 Update : A Report From the American Heart −− Heart Disease and Stroke Statistics

Heart Disease and Stroke Statistics—2012 Update A Report From the American Heart Association

Abstract: Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .e3 1. About These Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .e7 2. American Heart Association's 2020 Impact Goals. . . . . . . . . . . . . . . . .e10 3. Cardiovascular Diseases . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . .e21 4. Subclinical Atherosclerosis . . . . . . . . . . . . . . . . . . . . .e45 5. Coronary Heart Disease, Acute Coronary Syndrome, and Angina Pectoris . . . . . . . . .e54 6. Stroke (Cerebrovascular Disease) . . . . . . . . . . . . . . . . . . . . . . . . . . . .e68 7. High Blood Pressure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .e88 8. Congenital Cardiovascular Defects . . . . . . . . . . . . . . . . . . . . . . . . . . . .e97 9. Cardiomyopathy and Heart Failure . . . . . . . . . . . . . . . . . . . . . . . . . . . .e102 10. Disorders …

Audit and feedback: effects on professional practice and healthcare outcomes

Abstract: Background Audit and feedback continues to be widely used as a strategy to improve professional practice. It appears logical that healthcare professionals would be prompted to modify their practice if given feedback that their clinical practice was inconsistent with that of their peers or accepted guidelines. Yet, audit and feedback has not been found to be consistently effective. Objectives To assess the effects of audit and feedback on the practice of healthcare professionals and patient outcomes. Search strategy We searched the Cochrane Effective Practice and Organisation of Care Group's register up to January 2001. This was supplemented with searches of MEDLINE and reference lists, which did not yield additional relevant studies. Selection criteria Randomised trials of audit and feedback (defined as any summary of clinical performance over a specified period of time) that reported objectively measured professional practice in a healthcare setting or healthcare outcomes. Data collection and analysis Two reviewers independently extracted data and assessed study quality. Quantitative (meta-regression), visual and qualitative analyses were undertaken. Main results We included 85 studies, 48 of which have been added to the previous version of this review. There were 52 comparisons of dichotomous outcomes from 47 trials with over 3500 health professionals that compared audit and feedback to no intervention. The adjusted RDs of non-compliance with desired practice varied from 0.09 (a 9% absolute increase in non-compliance) to 0.71 (a 71% decrease in non-compliance) (median = 0.07, inter-quartile range = 0.02 to 0.11). The one factor that appeared to predict the effectiveness of audit and feedback across studies was baseline non-compliance with recommended practice. Reviewer's conclusions Audit and feedback can be effective in improving professional practice. When it is effective, the effects are generally small to moderate. The absolute effects of audit and feedback are more likely to be larger when baseline adherence to recommended practice is low.

2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines

Abstract: Since 1980, the American College of Cardiology (ACC) and American Heart Association (AHA) have translated scientific evidence into clinical practice guidelines (guidelines) with recommendations to improve cardiovascular health. In 2013, the National Heart, Lung, and Blood Institute (NHLBI) Advisory