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Through the food store racks towards the neurologist's office: spinal-cord outcomes of nitrous oxide.
The R-package rbioacc allows to analyse experimental data from bioaccumulation tests where organisms are exposed to a chemical (exposure) then put into clean media (depuration). Internal concentrations are measured over time during the experiment. rbioacc provides turnkey functions to visualise and analyse such data. Under a Bayesian framework, rbioacc fits a generic one-compartment toxicokinetic model built from the data. It provides TK parameter estimates (uptake and elimination rates) and standard bioaccumulation metrics. All parameter estimates, bioaccumulation metrics and predictions of internal concentrations are delivered with their uncertainty. Bioaccumulation metrics are provided in support of environmental risk assessment, in full compliance with regulatory requirements required to approve market release of chemical substances. This paper provides worked examples of the use of rbioacc from data collected through standard bioaccumulation tests, publicly available within the scientific literature. These examples constitute step-by-step user-guides to analyse any new data set, uploaded in the right format.Traditional soil vapor intrusion (VI) models usually rely on preset conceptual scenarios, simplifying the influences of limiting environmental covariates in determining indoor attenuation factors relative to subsurface sources. This study proposed a technical framework and applied it to predict VI attenuation factors based on site-specific parameters recorded in the United States Environmental Protection Agency (USEPA)'s and the California Environmental Protection Agency (CalEPA)'s VI databases, which can overcome the limitations of traditional VI models. We examined the databases with multivariate analysis of variance to identify effective covariates, which were then employed to develop VI models with three machine learning algorithms. The results of multivariate analysis show that the effective covariates include soil texture, source depth, foundation type, lateral separation, surface cover, and land use. Based on these covariates, the predicted attenuation factors by these new models are generally within one order of magnitude of the observations recorded in the databases. Then the developed models were employed to generate the generic indoor attenuation factors to subsurface vapor (i.e., the 95th percentile of selected dataset), the values of which are different between the USEPA's and CalEPA's databases by one order of magnitude, although comparable to recommendations by the USEPA and literature, respectively. Such a difference may reflect the significant regional disparity in factors such as building structures or operational conditions (e.g., indoor air exchange rates), which necessitates generating generic VI attenuation factors on a state-specific basis. This study provides an alternative for VI risk screens on a site-specific basis, especially in states with a good collection of datasets. Although the proposed technical framework is used for the VI databases, it can be equally applied to other environmental science problems.
Dietary fibers, such as fructooligosaccharide (FOS) and partially hydrolyzed guar gum (PHGG) have several gastrointestinal functions. The aims of this study were to evaluate the effect of acute ingestion of FOS and PHGG on the percentage of gastric emptying and small intestinal transit and to evaluate the effect of these dietary fibers on the levels of intestinal hormones-active glucagon-like peptide-1, pancreatic polypeptide, and gastric inhibitory peptide-and their effect on feelings of hunger and satiety and the desire to eat.

In this crossover, randomized controlled clinical trial, we compared the effects of these two fibers on gastrointestinal transit. The tests were performed using scintigraphy. On three different days, healthy participants consumed a test meal containing 20 g of digestible maltodextrin (placebo), 20 g of FOS, or 20 g of PHGG.

The gastric emptying of the FOS-based diet (84.2 ± 9.4%) within 2 h was statistically increased compared with the placebo and PHGG-based diets (78 ± 10.2% and 74 ± 15.3%, respectively; P < 0.05). However, a reduction in small intestinal transit was observed after consumption of both FOS- and PHGG-based diets (28.5 ± 15.56% and 24.2 ± 13.7%, respectively) compared with the placebo diet (41.20 ± 15.4%; P < 0.05). There were no changes in the levels of intestinal hormones, feeling of hunger and satiety, or desire to eat after consuming the three diets (P > 0.05).

The acute intake of FOS increased gastric emptying, whereas both FOS and PHGG reduced small intestine transit without altering the levels of intestinal hormones, hunger feelings and satiety, or the desire to eat.
The acute intake of FOS increased gastric emptying, whereas both FOS and PHGG reduced small intestine transit without altering the levels of intestinal hormones, hunger feelings and satiety, or the desire to eat.
The present study aimed to investigate the prognostic value of the preoperative fat-free mass index (FFMI) for postoperative outcomes in patients undergoing esophagogastric cancer surgery and to explore the role of the FFMI in the Global Leadership Initiative on Malnutrition (GLIM) criteria.

This multicenter retrospective observational study took place in four teaching tertiary hospitals in China from September 2015 to June 2018. Malnutrition was diagnosed following the GLIM criteria. ABT-888 The evaluation of muscle mass (ie, the FFMI) as one of the constituents contained in the GLIM consensus was measured by bioelectrical impedance analysis. According to their FFMI per the GLIM criteria, patients with esophagogastric cancer were divided into a normal-FFMI group and a low-FFMI group. The observation indicators were postoperative complications, length of stay, wound healing time, postoperative antibiotic time, and nutritional status in the two groups.

Of the 205 total patients with esophagogastric cancer, 76 (3ciated with postoperative complications in patients with esophagogastric cancer.
The FFMI has an important role in the diagnosis of malnutrition using the GLIM criteria. In this study, a decreased preoperative FFMI was closely associated with postoperative complications in patients with esophagogastric cancer.
This study aimed to investigate the association between muscle strength and adjusted appendicular skeletal muscle mass (ASM) in patients who have had strokes with the Functional Independence Measure (FIM) and the probability of being discharged.

A retrospective cohort study was conducted for older patients who have had strokes admitted to convalescent rehabilitation wards between January 2017 and October 2020. Hand-grip strength (HGS) was used to assess muscle strength. ASM was measured with a bioelectrical impedance analysis, and then divided by height-squared, body weight, body mass index (BMI), body fat mass (BFM), and body fat percentage (BFP) to calculate the adjusted ASM. The primary outcome was FIM at the time of discharge, and the secondary outcome was the probability of being discharged to their home. Multivariate analyses were conducted to adjust for confounding effects.

The data of 699 participants (female 47%; median age, 79 y) were analyzed. HGS was independently associated with FIM at the time of discharge in men (partial regression coefficient [B] = 0.482; 95% confidence interval [CI], 0.225-0.740) and women (B = 0.664; 95% CI, 0.263-1.065) and also was independently associated with being discharged to their home in men (odds ratio [OR] 1.070; 95% CI, 1.030-1.100) and women (OR 1.070; 95% CI, 1.000-1.130). Conversely, none of the adjusted ASM indices were associated with the outcomes. The cutoff value of HGS for discharge to home was 15.1 kg for men and 9.5 kg for women.

In patients who have had strokes, HGS independently predicted FIM at the time of discharge and the probability of being discharged to their home. The adjusted ASM methods had less predictive value for functional and discharge outcomes.
In patients who have had strokes, HGS independently predicted FIM at the time of discharge and the probability of being discharged to their home. The adjusted ASM methods had less predictive value for functional and discharge outcomes.
Heart failure and preserved ejection fraction (HFpEF) in patients is often complicated by abdominal obesity and arteriosclerosis. The aim of this study was to determine the relationship between adipose tissue distribution and arterial stiffness in patients with HFpEF.

This was a cross-sectional descriptive study involving 93 patients with HFpEF. Several anthropometric measurements were measured, including height, weight, waist circumference, body fat mass, percent body fat, body fat rate, and visceral fat area (VFA). We calculated body mass index. Arterial stiffness was assessed by measurement of brachial-ankle pulse wave velocity (baPWV). The association between VFA and baPWV was investigated by linear regression analysis.

In univariate analysis, VFA showed strong relations with bilateral baPWV in Spearman correlation analysis (P=0.003 and P=0.002, respectively). After adjusting for VFA, age, systolic blood pressure, diastolic blood pressure, and heart rate, VFA and age were significantly and positively associated with bilateral baPWV (P=0.024 and P=0.032, respectively). After adjusting for VFA, age, left ventricular posterior wall, and interventricular septal thickness, VFA and age were still significantly correlated with bilateral baPWV (P=0.028 and P=0.008, respectively).

In patients with HFpEF, adipose tissue distribution was correlated with arterial stiffness. VFA was independently associated with baPWV.
In patients with HFpEF, adipose tissue distribution was correlated with arterial stiffness. VFA was independently associated with baPWV.
Diet, one of the main risk factors for both metabolic syndrome (MetS) and non-communicable diseases (NCDs), is a multidimensional feature whose complexity relies on the individual and contextual characteristics of foods. The aim of this study was to build a "diet model" and estimate its relationship with MetS components in two Argentinian populations.

This was a population-based cross-sectional study that assessed bio-socio-anthropometrical variables and dietary habits using food frequency questionnaires. Dietary patterns (DPs) were drawn out using exploratory factor analysis (EFA). A structural equation model (SEM) was used to explore and confirm theoretical and empirical relationships between DPs and the diet model. The association between individuals' adherence to DPs and MetS were assessed using a multiple logistic regression analysis. We selected two cities in central Argentina according to socio-eco-environmental characteristics. Participants included 493 men and women (11 ratio) from 35 to 65 y of age.

We identified four DPs traditional Argentine (TA; processed meats, meats and eggs, fats, starchy vegetables), prudent (Pr; vegetables, fruits, milk, and yogurt), alcohol and snacks (AS), and sweets (S; candies and sodas). TA and AS DPs were associated with increased waist circumference. The S DP showed a strong effect on hypertension. Moderate adherence to the TA DP was positively associated with dyslipidemia but negatively with hypertension whenever individuals did not adhere to the AS DP. TA was positively correlated to AS and S, but inversely with Pr.

This diet model integrated those food groups in an associative structure describing per se a synthesis of the Argentine dietary habits and their association with three of the five components of MetS.
This diet model integrated those food groups in an associative structure describing per se a synthesis of the Argentine dietary habits and their association with three of the five components of MetS.
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