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Blood-based protein biomarkers inside vesica urothelial growths.
CONCLUSION Surface EMG offers significant practical and analytical flexibility compared to invasive techniques. To capitalise on this fully, emphasis must be placed upon the multi-disciplinary collaboration of clinicians, bioengineers, mathematicians and biostatisticians. selleck inhibitor SIGNIFICANCE Surface EMG techniques can enrich effective biomarker development in ALS. BACKGROUND Depression and binge eating disorder (BED) are prevalent among bariatric surgery candidates. Depression subtypes may be differentially related to obesity, such that the atypical subtype predicts poorer outcomes. However, no research has examined depression subtypes, BED, and weight loss in bariatric candidates. OBJECTIVE To examine whether presurgical atypical depressive symptoms, compared with no depressive and melancholic depressive symptoms, were associated with higher rates of presurgical BED, binge eating severity, and poorer postsurgical weight loss trajectories among bariatric candidates. SETTING An outpatient Midwest bariatric clinic. METHODS Participants were 345 adults (aged 46.27 ± 12.78 yr, 76% female; body mass index = 49.84 ± 8.51 kg/m2) who received a presurgical evaluation. Depression subtypes (melancholic, atypical, and no depressive symptoms) were categorized using the Beck Depression Inventory-II. BED diagnosis and severity were evaluated using the Eating Disorder Diagnostic Scalnted. OBJECTIVE Advanced glycation end-products (AGEs) are uremic toxins that result from oxidative stress and food consumption. It has been reported that markers of malnutrition are more important determinants of increased skin autofluorescence (SAF), a measure of AGE accumulation and risk factor for mortality, than high dietary AGE intake in a hemodialysis (HD) population, suggesting that correcting malnutrition may decrease SAF. DESIGN AND METHODS We investigated this hypothesis in a single-center, nonrandomized proof-of-principle study. We enrolled 27 patients on HD and one on peritoneal dialysis with malnutrition who received individualized nutritional advice and support over 6 months. SAF was measured at baseline, 3 months, and 6 months. Dietary intake and nutritional status were assessed at baseline and 6 months. Results were compared with a control group of malnourished patients on dialysis (n = 41 HD and 8 peritoneal dialysis) from a previous observational study. RESULTS The intervention group showed a significant increase in dietary intake, including AGEs, Subjective Global Assessment score, and serum albumin, while SAF levels remained stable for over 6 months (3.8 ± 0.7 arbitrary units [AU] vs. 3.7 ± 0.7 AU; P = .3). Conversely, in the control group, SAF increased significantly during the observation period (3.5 ± 0.9 AU vs. 3.8 ± 1.2 AU; P = .03) during which there was no improvement in nutritional intake and other markers of nutrition, although dietary AGE intake and Subjective Global Assessment score did increase. CONCLUSION Dietetic support was associated with stable SAF levels in this proof-of-principal study despite an increase in dietary AGE intake, suggesting that interventions to improve nutrition may be important in preventing the rise in SAF observed in malnourished dialysis populations. Further long-term studies are needed to test this hypothesis and evaluate the impact on survival. BACKGROUND Antidepressant medication adherence is among the most important problems in health care worldwide. Interventions designed to increase adherence have largely failed, pointing toward a critical need to better understand the underlying decision-making processes that contribute to adherence. A computational decision-making model that integrates empirical data with a fundamental action selection principle could be pragmatically useful in 1) making individual-level predictions about adherence and 2) providing an explanatory framework that improves our understanding of nonadherence. METHODS Here we formulated a partially observable Markov decision process model based on the active inference framework that can simulate several processes that plausibly influence adherence decisions. RESULTS Using model simulations of the day-to-day decisions to take a prescribed selective serotonin reuptake inhibitor, we show that several distinct parameters in the model can influence adherence decisions in predictable ways. These parameters include differences in policy depth (i.e., how far into the future one considers when deciding), decision uncertainty, beliefs about the predictability (stochasticity) of symptoms, beliefs about the magnitude and time course of symptom reductions and side effects, and strength of medication-taking habits that one has acquired. CONCLUSIONS Clarifying these influential factors will be an important first step toward empirically determining which factors are contributing to nonadherence to antidepressants in individual patients. The model can also be seamlessly extended to simulate adherence to other medications (by incorporating the known symptom reduction and side effect trajectories of those medications), with the potential promise of identifying which treatments may be best suited for different patients. OBJECTIVES To investigate the behaviours of elite and developing athletes in obtaining medications and medication information, and to identify the role of pharmacists in athlete care. DESIGN Cross-sectional survey. METHODS An electronic, 39-item questionnaire was developed, piloted and distributed to elite and developing athletes aged 18 years and above at a state-based sporting institute. Quantitative data was analysed using descriptive statistics and free text comments were analysed using an inductive reasoning approach. RESULTS A total of 98 responses were analysed. Ninety (n=90/98, 91.84%) participants obtained medications in the six months prior to survey completion. Pharmacies were the most common source of both prescription (n=67/69, 97.10%) and non-prescription medications (n=64/75, 85.33%). Forty-five (n=45/98, 45.92%) participants also attended pharmacies when they had a minor ailment. Sixty-two (n=62/98, 63.27%) participants 'sometimes' consulted pharmacists for medication information. Only 11 (n=11/98, 11.
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