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Numerous capabilities of the DEAD-box RNA helicase, DDX5 (p68), help make DDX5 an outstanding oncogenic biomarker and also target for focused cancers remedy.
corticosteroid injections. Of the pain medication classes examined, the incidence of TJR was highest in patients receiving intra-articular corticosteroids and lowest in patients receiving NSAIDs.
In patients treated with prescription medications for osteoarthritis pain, opioids were more commonly prescribed at index than NSAIDs and intra-articular corticosteroid injections. Of the pain medication classes examined, the incidence of TJR was highest in patients receiving intra-articular corticosteroids and lowest in patients receiving NSAIDs.
While quitting smoking dramatically decreases overall mortality, general practitioners (GPs) are less likely to prescribe medications for smoking cessation than other cardiovascular risk factors. Guidelines recommend providers first assess patients' "readiness" to quit, an "opt-in" strategy, but only a minority of tobacco users are ready to quit on a given day. An "opt-out" strategy offering treatment as the default choice increased quit attempts in hospital and with pregnant women, but has not been tested in primary care. We will assess the efficacy of training GPs to offer treatment as the default choice using an encounter decision aid with current smokers seen in primary care.

This is a pragmatic cluster-randomized controlled superiority trial with block randomization at the GP level in private practice in French-speaking Switzerland. GPs will be blinded to the arm allocation. The intervention is a half-day training course teaching an 'opt-out' approach to smoking cessation using an encounter decision choice using an encounter decision aid will increase the number of patients who quit. This study could significantly change our approach to smoking cessation in primary care. Default choices and the electronic decision aid are low-cost, easily diffusible interventions.

ClinicalTrials.gov Identifier NCT04868474, First Posted May 3, 2021, Last Update Posted October 6, 2021.
ClinicalTrials.gov Identifier NCT04868474, First Posted May 3, 2021, Last Update Posted October 6, 2021.
Antenatal care is imperative for adolescents and young women, due to their increased risk of pregnancy-related complications. Evidence on the psychosocial determinants of antenatal attendance among this vulnerable group is lacking. This study assessed the relevance of the psychosocial sub-determinants of intention and self-efficacy to attend antenatal appointments among pregnant adolescents and young women in Cape Town, South Africa; with a view to informing behaviour change interventions.

Pregnant women and girls aged 13-20 years were recruited to complete a cross-sectional questionnaire assessing their pregnancy experiences, pregnancy-related knowledge and psychosocial determinants related to antenatal care seeking. Confidence Interval Based Estimation of Relevance (CIBER) analysis was used to examine the association of the psychosocial sub-determinants with the intention and self-efficacy to attend antenatal appointments, and to establish their relevance for behaviour change interventions. The psychosoily, peer, partner and individual participant attitudes, the relevance of these attitudinal items as intervention targets was relatively low. Further studies are recommended to assess the relevance of these sub-determinants in similar populations.
Maternal education is one of the main ways to improve children's nutritional behaviors and development. The purpose of this study is to investigate the effect of educational intervention based on Health Belief Model (HBM) on mothers monitoring growth of 6-12months child with growth disorders in Ghirokarzin city, Fars Provonce, Iran.

This quasi-experimental study was conducted on mothers of 6-12months children with growth disorders of Ghirokarzin city, Fars province, Iran in 2021-2022. One hundred twenty mothers of 6-12months child with growth disorders in Ghirokarzin city were selected using random sampling method and were divided into two groups of intervention (60) and control (60). The experimental group received training on the HBM constructs. Both groups completed the questionnaire before and three months after.

A questionnaire beased on Health Belief Model constructs were used to collect information. The data was analyzed with SPSS 22 software using paired t-tests, Chi-square tests, and independent t-tests, with a significance level of 0.05.

Three months after the educational intervention, the experimental group showed a significant increase in terms of knowledge, HBM constructs, weight of the children and feeding behavior.

This study showed the educational intervention based on the HBM improved the knowledge and feeding behavior of mothers and improved Growth Disorders of child. Hence, this model can act as a framework for designing and implementing educational interventions for prevention of growth disorders in children.
This study showed the educational intervention based on the HBM improved the knowledge and feeding behavior of mothers and improved Growth Disorders of child. Hence, this model can act as a framework for designing and implementing educational interventions for prevention of growth disorders in children.
Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both individual risk stratification and quality of care assessment is scarce. We aimed to develop reliable models for mortality prediction in SARI patients utilizing ML algorithms and compare its performances with a classic regression analysis approach.

Administrative data (dataset randomly split 75%/25% for model training/testing) from years 2016-2019 of 86 German Helios hospitals was retrospectively analyzed. Inpatient SARI cases were defined by ICD-codes J09-J22. Three ML algorithms were evaluated and its performance compared to generalized linear models (GLM) by computing receiver operating characteristic area under the curve (AUC) and area under the precision-recall curve (AUPRC).

The dataset contained 241,988 inpatient SARI cases (75years or older 49%; male 56.2%). In-hospital mortality was 11.6%. AUC and AUPRC in the testing dataset were 0.83 and 0.372 for GLM, 0.831 and 0.384 for random forest (RF), 0.834 and 0.382 for single layer neural network (NNET) and 0.834 and 0.389 for extreme gradient boosting (XGBoost). Statistical comparison of ROC AUCs revealed a better performance of NNET and XGBoost as compared to GLM.

ML algorithms for predicting in-hospital mortality were trained and tested on a large real-world administrative dataset of SARI patients and showed good discriminatory performances. Broad application of our models in clinical routine practice can contribute to patients' risk assessment and quality management.
ML algorithms for predicting in-hospital mortality were trained and tested on a large real-world administrative dataset of SARI patients and showed good discriminatory performances. Broad application of our models in clinical routine practice can contribute to patients' risk assessment and quality management.
Cognitive age-related decline is linked to dementia development and gait has been proposed to measure the change in brain function. This study aimed to investigate if spatiotemporal gait variables could be used to differentiate between the three cognitive status groups.

Ninety-three older adults were screened and classified into three groups; mild cognitive impairment (MCI) (n = 32), dementia (n = 31), and a cognitively intact (n = 30). Spatiotemporal gait variables were assessed under single- and dual-tasks using an objective platform system. Effects of cognitive status and walking task were analyzed using a two-way ANCOVA. Sub-comparisons for between- and within-group were performed by one-way ANCOVA and Paired t-tests. Area Under the Curve (AUC) of Receiver Operating Characteristics (ROC) was used to discriminate between three groups on gait variables.

There were significant effects (P < 0.05) of cognitive status during both single and dual-task walking in several variables between the MCI and dementia and between dementia and cognitively intact groups, while no difference was seen between the MCI and cognitively intact groups. A large differentiation effect between the groups was found for step length, stride length, and gait speed during both conditions of walking.

Spatiotemporal gait variables showed discriminative ability between dementia and cognitively intact groups in both single and dual-tasks. This suggests that gait could potentially be used as a clinical differentiation marker for individuals with cognitive problems.
Spatiotemporal gait variables showed discriminative ability between dementia and cognitively intact groups in both single and dual-tasks. This suggests that gait could potentially be used as a clinical differentiation marker for individuals with cognitive problems.Early COVID-19 safety protocols urged physical and social distancing, resulting in minimal contact with others. As social contexts are central to vaping among youth, we used semi-structured interviews to describe how youth who vape are making sense of their use practices and adaptations. The qualitative analyses revealed changes in vaping frequency and access, social isolation shaping substance- and product-specific use, and motivations and outcomes of dual use of nicotine and cannabis which were closely linked to the pandemic. The findings indicate variation of youth vaping experiences within the early stages of the pandemic that should be attended to in future studies.
To observe alterations of fundus microcirculation and retinal thickness in adolescent myopic patients with astigmatism after toric and spherical orthokeratology using optical coherence tomography angiography (OCTA), to explore the effects of orthokeratology on the retinal thickness and choroidal blood flow.

A total of 48 patients were enrolled and divided into two group (toric orthokeratology (T) group and spherical orthokeratology (S) group) according to the type of lens design. click here OCTA was used to measure the superficial and deep retinal vessel densities at the macular region, radial peripapillary capillary (RPC) density, foveal avascular zone (FAZ) area, and choriocapillaris (ChC) perfusion area before and after orthokeratology for 3 months. The data were statistically analyzed by SPSS 19.0 software.

Compared with before orthokeratology, the superficial vessel density in the fovea and parafovea in the T group significantly increased, and the deep vessel density in the whole area and fovea were significaing myopia. The changes in FAZ and ChC perfusion areas did not significantly differ between toric and spherical orthokeratology.
Orthokeratology improved retinal blood flow in macular area and RPC while controlling myopia. The changes in FAZ and ChC perfusion areas did not significantly differ between toric and spherical orthokeratology.
We previously reported a familial thyroid follicular cell carcinoma (FCC) in a large number of Dutch German longhaired pointers and identified two deleterious germline mutations in the TPO gene associated with disease predisposition. However, the somatic mutation profile of the FCC in dogs has not been investigated at a genome-wide scale.

Herein, we comprehensively investigated the somatic mutations that potentially contribute to the inherited tumor formation and progression using high depth whole-genome sequencing. A GNAS p.A204D missense mutation was identified in 4 out of 7 FCC tumors by whole-genome sequencing and in 20 out of 32 dogs' tumors by targeted sequencing. In contrast to this, in the human TC, mutations in GNAS gene have lower prevalence. Meanwhile, the homologous somatic mutation in humans has not been reported. These findings suggest a difference in the somatic mutation landscape between TC in these dogs and human TC. Moreover, tumors with the GNAS p.A204D mutation had a significantly lower somatic mutation burden in these dogs.
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