Gracerode7707

This difference was still significant after adjustment for a variety of confounding factors. Female gender, age at dialysis initiation, cardiovascular disease, cholesterol, and HD were risk factors of all-cause mortality in the younger subgroup, while PD was risk factor in the older subgroup.

PD may be a better choice for younger ESRD patients, and HD for the older patients.

PD may be a better choice for younger ESRD patients, and HD for the older patients.

Zinc has a tremendous advantage to save the life of children. It reduces the mean duration of diarrhea and mortality due to diarrhea. Besides, it reduces the severity of the initial episode, and also it prevents future diarrhea episodes. But there is low utilization of zinc for the management of diarrhea in under-five children in Ethiopia and there is a paucity of literature regarding the factors associated with the utilization.

The 2016 Ethiopian demographic and health survey data were used as a data source. A total weighted sample of 1228 under-five children with diarrhea within 2 weeks preceding the survey were used. A mixed-effects logistic regression analysis was done to account for the complex sample design of the data. Variables with p-value < 0.20 in the bivariable analysis were eligible for multivariable analysis and those variables with p value< 0.05 in the multivariable analysis were declared to be determinants of zinc utilization for the management of diarrhea in under-five children.

IAlso, media campaigns regarding diarrhea management could be scaled up to potentially achieve the desired impact.

In our study maternal education, media exposure, and household size were determinants of zinc utilization for the management of diarrhea in under-five children. 6-Aminonicotinamide Being having a formal education and being exposed to all or either of the three media (radio, TV, and newspaper) increases the likelihood of zinc utilization while being mothers from large household size decreases the likelihood of zinc utilization. Therefore, giving special attention to those mothers with no formal education, and mothers from high family size could increase the utilization of zinc for the management of diarrhea in under-five children. Also, media campaigns regarding diarrhea management could be scaled up to potentially achieve the desired impact.

'Food variety' is a key term that is frequently used in dietary guidelines around the world. Consuming a variety of foods - be it within a meal, across meals, or as part of the whole diet - is one factor that has been shown to increase food intake. However, little is known about consumer understanding of variety, and this may be a potential barrier to the success of dietary guidelines in today's 'obesogenic' environment. This research sought to explore 1) consumer recognition of different forms of variety, and 2) consumer definitions of variety.

In an online study (N = 240), participants were asked to discuss a range of photographs depicting different forms of variety, and to directly define the term 'food variety'. They were unaware of the research aim.

Using a mixed methods approach, directed content analysis of these data showed that individuals referenced multiple forms of variety in the presence of food photographs. However, when asked to define variety, participants tended to only discuss variety in the context of the whole diet.

These findings emphasise a need to educate consumers about variety to encourage adherence to dietary guidelines and help consumers better manage their own food intake.

These findings emphasise a need to educate consumers about variety to encourage adherence to dietary guidelines and help consumers better manage their own food intake.

Autism spectrum disorder (ASD) is becoming increasingly prevalent of late. Methylenetetrahydrofolate reductase (MTHFR) has a significant role in folate metabolism. Owing to the inconsistencies and inconclusiveness on the association between MTHFR single nucleotide polymorphism (SNP) and ASD susceptibilities, a meta-analysis was conducted to settle the inconsistencies.

For this meta-analysis, a total of 15 manuscripts published up to January 26, 2020, were selected from PubMed, Google Scholar, Medline, WangFang, and CNKI databases using search terms "MTHFR" OR "methylenetetrahydrofolate reductase" AND "ASD" OR "Autism Spectrum Disorders" OR "Autism" AND "polymorphism" OR "susceptibility" OR "C677T" OR "A1298C".

The findings of the meta-analysis indicated that MTHFR C677T polymorphism is remarkably associated with ASD in the five genetic models, viz., allelic, dominant, recessive, heterozygote, and homozygote. However, the MTHFR A1298C polymorphism was not found to be significantly related to ASD in the five genetic models. Subgroup analyses revealed significant associations of ASD with the MTHFR (C677T and A1298C) polymorphism. Sensitivity analysis showed that this meta-analysis was stable and reliable. No publication bias was identified in the associations between MTHFRC677T polymorphisms and ASD in the five genetic models, except for the one with regard to the associations between MTHFRA1298C polymorphisms and ASD in the five genetic models.

This meta-analysis showed that MTHFR C677T polymorphism is a susceptibility factor for ASD, and MTHFR A1298C polymorphism is not associated with ASD susceptibility.

This meta-analysis showed that MTHFR C677T polymorphism is a susceptibility factor for ASD, and MTHFR A1298C polymorphism is not associated with ASD susceptibility.

Coronary artery angiography is an indispensable assistive technique for cardiac interventional surgery. Segmentation and extraction of blood vessels from coronary angiographic images or videos are very essential prerequisites for physicians to locate, assess and diagnose the plaques and stenosis in blood vessels.

This article proposes a novel coronary artery segmentation framework that combines a three-dimensional (3D) convolutional input layer and a two-dimensional (2D) convolutional network. Instead of a single input image in the previous medical image segmentation applications, our framework accepts a sequence of coronary angiographic images as input, and outputs the clearest mask of segmentation result. The 3D input layer leverages the temporal information in the image sequence, and fuses the multiple images into more comprehensive 2D feature maps. The 2D convolutional network implements down-sampling encoders, up-sampling decoders, bottle-neck modules, and skip connections to accomplish the segmentation task.