Too Much of a Good Thing? Overexertion of Self-Control and Dietary Adherence in Individuals with Type 2 Diabetes

Objectives The resource model of self‐control posits that self‐control is a finite resource that can be depleted. Individuals with diabetes must continually restrict their diet, requiring self‐control. As a result, dietary adherence is difficult, and lapses are common. People with diabetes who overexert self‐control following a lapse may be especially likely to experience a subsequent relapse, as suggested by the resource model. This investigation used the resource model of self‐control to test whether overexertion of dietary self‐control following a lapse would be predictive of a subsequent relapse in dietary control. Design We tested this prediction in a daily diary study of 128 individuals with diabetes (Mage = 66.12). Methods Participants\u27 reports of their daily dietary adherence were used to define lapses in adherence, post‐lapse adherence, and relapses. Results Individuals who overexerted self‐control after a lapse were more likely to experience a subsequent relapse (OR = 3.276, p = .016) and to do so sooner (HR = 2.12, p = .023). Conclusions People with diabetes may seek to compensate for a lapse in adherence by overexerting self‐control, but doing so may deplete their self‐control and increase the risk of a future relapse

Analysis of gated myocardial perfusion SPECT images based on computational image registration

Myocardial perfusion is commonly studied based on the evaluation of the leftventricular function using stress-rest gated myocardial perfusion single photon emissioncomputed tomography (GSPECT), which provides a suitable identification of the myocardialregion, facilitating the localization and characterization of perfusion abnormalities. Theprevalence and clinical predictors of myocardial ischemia and infarct can be assessed fromGSPECT images.Here, techniques of image analysis, namely image segmentation and registration, areintegrated to automatically extract a set of features from myocardial perfusion SPECT imagesthat are automatically classified as related to myocardial perfusion disorders or not. Thesolution implemented can be divided into two main parts: 1) building of a template image,segmentation of the template image and computation of its dimensions; 2) registration of theimage under study with the template image previously built, extraction of the image features,statistical analysis and classification. It should be noted that the first step just needs to beperformed once for a particular population. Hence, algorithms of image segmentation,registration and classification were used, specifically of k-means clustering, rigid anddeformable registration and classification.The computational solution developed was tested using 180 3D images from 48 patients withhealthy cardiac condition and 72 3D images from 12 patients with cardiac diseases, whichwere reconstructed using the filtered back projection algorithm and a low pass Butterworthfilter or iterative algorithms. The images were classified into two classes: abnormalitypresent and abnormality not present. The classification was assessed using fiveparameters: sensitivity, specificity, precision, accuracy and mean error rate.The results obtained shown that the solution is effective, both for female and male cardiacSPECT images that can have very different structural dimensions. Particularly, the solutiondemonstrated reasonable robustness against the two major difficulties in SPECT imageanalysis: image noise and low resolution. Furthermore, the classifier used demonstrated goodspecificity and accuracy, Table 1

Cost and burden of hypercholesterolemia In Portugal

Copyright © 2014 Published by Elsevier Inc.Hypercholesterolemia is a risk factor for ciculatory diseases. This study estimates the impact of hypercholesterolemia on populations’ health levels and its economic impact in Portugal.info:eu-repo/semantics/publishedVersio

How large is the lung recruitability in early acute respiratory distress syndrome: a prospective case series of patients monitored by computed tomography

Introduction: The benefits of higher positive end expiratory pressure (PEEP) in patients with acute respiratory distress syndrome (ARDS) have been modest, but few studies have fully tested the "open-lung hypothesis". This hypothesis states that most of the collapsed lung tissue observed in ARDS can be reversed at an acceptable clinical cost, potentially resulting in better lung protection, but requiring more intensive maneuvers. The short-/middle-term efficacy of a maximum recruitment strategy (MRS) was recently described in a small physiological study. The present study extends those results, describing a case-series of non-selected patients with early, severe ARDS submitted to MRS and followed until hospital discharge or death. Methods: MRS guided by thoracic computed tomography (CT) included two parts: a recruitment phase to calculate opening pressures (incremental steps under pressure-controlled ventilation up to maximum inspiratory pressures of 60 cmH(2)O, at constant driving-pressures of 15 cmH(2)O); and a PEEP titration phase (decremental PEEP steps from 25 to 10 cmH2O) used to estimate the minimum PEEP to keep lungs open. During all steps, we calculated the size of the non-aerated (-100 to +100 HU) compartment and the recruitability of the lungs (the percent mass of collapsed tissue re-aerated from baseline to maximum PEEP). Results: A total of 51 severe ARDS patients, with a mean age of 50.7 years (84% primary ARDS) was studied. The opening plateau-pressure was 59.6 (+/- 5.9 cmH(2)O), and the mean PEEP titrated after MRS was 24.6 (+/- 2.9 cmH(2)O). Mean PaO2/FiO(2) ratio increased from 125 (+/- 43) to 300 (+/- 103; P < 0.0001) after MRS and was sustained above 300 throughout seven days. Non-aerated parenchyma decreased significantly from 53.6% (interquartile range (IQR): 42.5 to 62.4) to 12.7% (IQR: 4.9 to 24.2) (P < 0.0001) after MRS. The potentially recruitable lung was estimated at 45% (IQR: 25 to 53). We did not observe major barotrauma or significant clinical complications associated with the maneuver. Conclusions: MRS could efficiently reverse hypoxemia and most of the collapsed lung tissue during the course of ARDS, compatible with a high lung recruitability in non-selected patients with early, severe ARDS. This strategy should be tested in a prospective randomized clinical trial

Chronic Hepatitis C treatment for genotype 2 or 3 in Brazil: cost effectiveness analysis of peginterferon plus ribavirin as first choice treatment

Brazilian Guidelines to HCV treatment (2007) recommended that the first choice treatment for patients with chronic hepatitis C (CHC) and genotype 2 or 3 is interferon alpha (IFN) plus ribavirin (RBV) for 24 weeks. The aim of this study is compare the cost and effectiveness to Hepatitis C treatment in patients with genotype 2 or 3 of peginterferon alpha (PEG) as the first choice of treatment within PEG for those that do not respond to IFN. The target population is CHC patients with genotype 2 or 3 in Brazil. The interventions are: PEG-SEC (first IFN plus RBV for 24 weeks, after, for non-responders and relapsers subsequently PEG plus RBV for 48 weeks); PEG-FIRST24 (PEG+RBV for 24 weeks). The type of the study is cost-effectiveness analysis. The data sources are: Effectiveness data from meta-analysis conducted on the Brazilian population. Treatment cost from Brazilian micro costing study is converted into USD (2010). The perspective is the Public Health System. The outcome measurements are Sustained Viral Response (SVR) and costs. PEG-FIRST24 (SVR: 87.8%, costs: USD 8,338.27) was more effective and more costly than PEG-SEC (SVR: 79.2%, costs: USD 5,852.99). The sensitivity analyses are: When SVR rates with IFN was less than 30% PEG-FIRST is dominant. On the other hand, when SVR with IFN was more then 75% PEG-SEC is dominant (SVR=88.2% and costs USD $ 3,753.00). PEG-SEC is also dominant when SVR to PEG24 weeks was less than 54%. In the Brazilian context, PEG-FIRST is more effective and more expensive than PEG-SEC. PEG-SEC could be dominant when rates of IFN therapy are higher than 75% or rates of PEG24 therapy are lower than 54%

Towards evidence-based conservation of subterranean ecosystems

Subterranean ecosystems are among the most widespread environments on Earth, yet we still have poor knowledge of their biodiversity. To raise awareness of subterranean ecosystems, the essential services they provide, and their unique conservation challenges, 2021 and 2022 were designated International Years of Caves and Karst. As these ecosystems have traditionally been overlooked in global conservation agendas and multilateral agreements, a quantitative assessment of solution-based approaches to safeguard subterranean biota and associated habitats is timely. This assessment allows researchers and practitioners to understand the progress made and research needs in subterranean ecology and management. We conducted a systematic review of peer-reviewed and grey literature focused on subterranean ecosystems globally (terrestrial, freshwater, and saltwater systems), to quantify the available evidence-base for the effectiveness of conservation interventions. We selected 708 publications from the years 1964 to 2021 that discussed, recommended, or implemented 1,954 conservation interventions in subterranean ecosystems. We noted a steep increase in the number of studies from the 2000s while, surprisingly, the proportion of studies quantifying the impact of conservation interventions has steadily and significantly decreased in recent years. The effectiveness of 31% of conservation interventions has been tested statistically. We further highlight that 64% of the reported research occurred in the Palearctic and Nearctic biogeographic regions. Assessments of the effectiveness of conservation interventions were heavily biased towards indirect measures (monitoring and risk assessment), a limited sample of organisms (mostly arthropods and bats), and more accessible systems (terrestrial caves). Our results indicate that most conservation science in the field of subterranean biology does not apply a rigorous quantitative approach, resulting in sparse evidence for the effectiveness of interventions. This raises the important question of how to make conservation efforts more feasible to implement, cost-effective, and long-lasting. Although there is no single remedy, we propose a suite of potential solutions to focus our efforts better towards increasing statistical testing and stress the importance of standardising study reporting to facilitate meta-analytical exercises. We also provide a database summarising the available literature, which will help to build quantitative knowledge about interventions likely to yield the greatest impacts depending upon the subterranean species and habitats of interest. We view this as a starting point to shift away from the widespread tendency of recommending conservation interventions based on anecdotal and expert-based information rather than scientific evidence, without quantitatively testing their effectiveness.Peer reviewe