The effects of wholegrain processing on appetite: randomised crossover trial in adults with type 2 diabetes.

Aims: Recent observational data indicate higher ultra-processed food intakes are associated with a broad range of adverse health outcomes. Experimental studies on why this might be are lacking. We have considered the effects of wholegrain processing on measures of appetite in free-living adults with type 2 diabetes. Materials and methods: Participants were randomised to two interventions of two-weeks duration, separated by washout. Interventions were nutrient-matched wholegrain foods that differed by the amount of processing. Self-reported hunger and satiety were indicated on visual analogue scales before or after meals for four days at baseline and the end of each intervention. Metabolite markers of appetite were measured pre and post intervention in fasting plasma. Results: 31 adults (63 ± 13 years old, BMI 32.4 ± 7, HbA1c 7.5 ± 3.4% (59 ± 14 mmol mol-1)) commenced the trial, 28 (90%) completed both interventions. Wholegrain consumption, as measured by alkylresorcinols, was balanced between interventions. Self-reported pre-meal hunger was consistently lower at breakfast (MD, mean difference 0.49/10 95% CI 0.03 to 0.94), lunch (MD 0.67/10 95% CI 0.09 to 1.25), and dinner (MD -0.71/10 95% CI 0.19 to 1.23) during the intervention of less processed whole grains when compared with pre-intervention measures, however this did not result in a difference between interventions. Change in metabolite markers of appetite did not differ between interventions. Conclusions: A significant difference in hunger or satiety between less and more processed whole grains over intervention periods of two weeks was not detected within the current trial. Further experimental studies are needed to consider the potential effects of food processing on physiological processes such as appetite to provide mechanistic understanding behind observations of highly processed food intakes and adverse health outcomes.

Idiopathic hemodynamically unstable polymicrobial purulent pericarditis: a rare case presentation.

Purulent pericarditis is an extremely rare disease accounting for <1% of pericarditis cases. Purulent pericarditis with hemodyamically unstable tamponade if untreated is fatal. Furthermore, although idiopathic polymicrobial disease is documented, a combination Haemophilus parainfluenzae, Prevotella buccae, and Citrobacter freundii have not been found in the literature by the authors. What follows is a case of a 58-year-old male who presented to the emergency department (ED) with these features and underwent emergent bedside pericardiocentesis and a brief review of current pericardiocentesis techniques in the emergency department.

Elimination of waste: creation of a successful Lean colonoscopy program at an academic medical center.

OBJECTIVE: Lean processes involve streamlining methods and maximizing efficiency. Well established in the manufacturing industry, they are increasingly being applied to health care. The objective of this study was to determine feasibility and effectiveness of applying Lean principles to an academic medical center colonoscopy unit. METHODS: Lean process improvement involved training endoscopy personnel, observing patients, mapping the value stream, analyzing patient flow, designing and implementing new processes, and finally re-observing the process. Our primary endpoint was total colonoscopy time (minutes from check-in to discharge) with secondary endpoints of individual segment times and unit colonoscopy capacity. RESULTS: A total of 217 patients were included (November 2013-May 2014), with 107 pre-Lean and 110 post-Lean intervention. Pre-Lean total colonoscopy time was 134 min. After implementation of the Lean process, mean colonoscopy time decreased by 10 % to 121 min (p = 0.01). The three steps of the process affected by the Lean intervention (time to achieve adequate sedation, time to recovery, and time to discharge) decreased from 3.7 to 2.4 min (p < 0.01), 4.0 to 3.4 min (p = 0.09), and 41.2 to 35.4 min (p = 0.05), respectively. Overall, unit capacity of colonoscopies increased from 39.6 per day to 43.6. Post-Lean patient satisfaction surveys demonstrated an average score of 4.5/5.0 (n = 73) regarding waiting time, 4.9/5.0 (n = 60) regarding how favorably this experienced compared to prior colonoscopy experiences, and 4.9/5.0 (n = 74) regarding professionalism of staff. One hundred percentage of respondents (n = 69) stated they would recommend our institution to a friend for colonoscopy. DISCUSSION: With no additional utilization of resources, a single Lean process improvement cycle increased productivity and capacity of our colonoscopy unit. We expect this to result in increased patient access and revenue while maintaining patient satisfaction. We believe these results are widely generalizable to other colonoscopy units as well as other process-based interventions in health care.

Validation of a colorectal cancer risk prediction model among white patients age 50 years and older.

PURPOSE: Validation of an absolute risk prediction model for colorectal cancer (CRC) by using a large, population-based cohort. PATIENTS AND METHODS: The National Institutes of Health (NIH) -American Association of Retired Persons (AARP) diet and health study, a prospective cohort study, was used to validate the model. Men and women age 50 to 71 years at baseline answered self-administered questionnaires that asked about demographic characteristics, diet, lifestyle, and medical histories. We compared expected numbers of CRC patient cases predicted by the model to the observed numbers of CRC patient cases identified in the NIH-AARP study overall and in subgroups defined by risk factor combinations. The discriminatory power was measured by the area under the receiver-operating characteristic curve (AUC). RESULTS: During an average of 6.9 years of follow-up, we identified 2,092 and 832 incident CRC patient cases in men and women, respectively. The overall expected/observed ratio was 0.99 (95% CI, 0.95 to 1.04) in men and 1.05 (95% CI, 0.98 to 1.11) in women. Agreement between the expected and the observed number of cases was good in most risk factor categories, except for in subgroups defined by CRC screening and polyp history. This discrepancy may be caused by differences in the question on screening and polyp history between two studies. The AUC was 0.61 (95% CI, 0.60 to 0.62) for men and 0.61 (95% CI, 0.59 to 0.62) for women, which was similar to other risk prediction models. CONCLUSION: The absolute risk model for CRC was well calibrated in a large prospective cohort study. This prediction model, which estimates an individual's risk of CRC given age and risk factors, may be a useful tool for physicians, researchers, and policy makers.