Mcintoshhouston8976
We successfully performed the surgery consisting of the formation of anastomosis between the large collateral vein from the distal end of the superior mesenteric vein and the anterior inferior pancreaticoduodenal vein.
The purpose of this case report is to describe the rare anatomical malformation of the superior mesenteric vein accompanied by intestinal malrotation, with its potential clinical implications regarding symptoms, clinical presentation, and the impact on potential surgery planning.
The purpose of this case report is to describe the rare anatomical malformation of the superior mesenteric vein accompanied by intestinal malrotation, with its potential clinical implications regarding symptoms, clinical presentation, and the impact on potential surgery planning.
Immunoskeletal dysplasia with neurodevelopmental abnormalities (ISDNA) is an ultra-rare genetic condition that belongs to the group of spondyloepimetaphyseal dysplasias. It is caused due to presence of biallelic variants in the EXTL3 gene. The encoded exostosin like glycosyltransferase 3 (EXTL3) protein plays a key role in heparan sulfate synthesis. The skeletal and nervous systems are prominently affected in ISDNA with variability in immunological manifestations. Here, we report the 15
case of ISDNA (third patient of an Indian ancestry) in the world, along with a review of literature.
A 15-month-old female child with clinical indications of global developmental delay, short stature, coarse facial features, and hypotonia was referred to our clinic. Spondyloepimetaphyseal dysplasias associated with extra-skeletal manifestations was suspected based on clinic-radiological correlation. Whole exome sequencing analysis revealed the presence of a homozygous known pathogenic variant c.953C > T (p. Pro318Leu)t in EXTL3 gene show phenotypic variability especially with respect to presence or absence of immunological manifestations, suggesting a role of unknown modifiers. Hence, it is currently not possible to correlate the variant position in the EXTL3 gene with disease severity.
There is good evidence that psychological interventions improve patient well-being and independent living, but patients on acute mental health wards often do not have access to evidence-based psychological therapies which are strongly advised by NICE guidance for severe mental health problems. The overall aim of this programme of work is to increase patient access to psychological therapies on acute mental health inpatient wards. Stage one of the programme (which is complete) aimed to identify barriers and facilitators to delivering therapy in these settings through a large qualitative study. The key output of stage one was an intervention protocol that is designed to be delivered on acute wards to increase patient access to psychologically-informed care and therapy. Stage two of the programme aims to test the effects of the intervention on patient wellbeing and serious incidents on the ward (primary outcomes), patient social functioning and symptoms, staff burnout, ward atmosphere from staff and patient perspectives and cost effectiveness of the intervention (secondary outcomes).
The study is a single blind, pragmatic, cluster randomised controlled trial and will recruit thirty-four wards across England that will be randomised to receive the new intervention plus treatment as usual, or treatment as usual only. Primary and secondary outcomes will be assessed at baseline and 6-month and 9-month follow-ups, with serious incidents on the ward collected at an additional 3-month follow-up.
The key output will be a potentially effective and cost-effective ward-based psychological intervention that increases patient access to psychological therapy in inpatient settings, is feasible to deliver in inpatient settings and is acceptable to patients.
ClinicalTrials.gov Identifier NCT03950388. Registered 15
May 2019. https//clinicaltrials.gov/ct2/show/NCT03950388.
ClinicalTrials.gov Identifier NCT03950388. Registered 15th May 2019. https//clinicaltrials.gov/ct2/show/NCT03950388.
Depression comorbid with posttraumatic stress disorder (PTSD) can be disabling and treatment resistant. Preliminary evidence suggests that repetitive transcranial magnetic stimulation (rTMS), may have a role in helping these patients. There are only few published studies using different rTMS paradigms including bilateral intermittent theta burst (iTBS) and low frequency rTMS.
In this small cohort observation study, we examined the efficacy of bilateral sequential theta-burst stimulation (bsTBS) in 8 treatment resistant depression (TRD) military veterans with PTSD comorbidity stemming from military service experience.
bsTBS was generally well tolerated and resulted in 25% and 38% remission and response rates on Depression scores respectively; 25% remission and response rate on PTSD scores.
This study demonstrates preliminary feasibility and safety of bsTBS in TRD with comorbid military service related PTSD. We concluded that this paradigm might hold promise as a therapeutic tool to help patients with TRD co-morbid with military service related PTSD. Further adequately powered studies to compare rTMS treatment paradigms in this patient group are warranted.
This study demonstrates preliminary feasibility and safety of bsTBS in TRD with comorbid military service related PTSD. We concluded that this paradigm might hold promise as a therapeutic tool to help patients with TRD co-morbid with military service related PTSD. Further adequately powered studies to compare rTMS treatment paradigms in this patient group are warranted.
Accurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as health insurance claims or electronic health records are missing.
Here, we developed a deep neural network to predict future cost from health insurance claims records. We applied the deep network and a ridge regression model to a sample of 1.4 million German insurants to predict total one-year health care costs. Both methods were compared to existing models with various performance measures and were also used to predict patients with a change in costs and to identify relevant codes for this prediction.
We showed that the neural network outperformed the ridge regression as well as all considered models for cost prediction. Further, the neural network was superior to ridge regression in predicting patients with cost change and identified more specific codes.
In summary, we showed that our deep neural network can leverage the full complexity of the patient records and outperforms standard approaches. We suggest that the better performance is due to the ability to incorporate complex interactions in the model and that the model might also be used for predicting other health phenotypes.
In summary, we showed that our deep neural network can leverage the full complexity of the patient records and outperforms standard approaches. We suggest that the better performance is due to the ability to incorporate complex interactions in the model and that the model might also be used for predicting other health phenotypes.
The combination of antipsychotics is not well studied among non-psychotic major depressive disorder (MDD). read more This study aims to explore the antipsychotics use in this population and its associated factors.
This cross-sectional and multi-site study was conducted in 11 sites of China. one Thousand five hundred three eligible MDD patients after 8-12 weeks of antidepressant treatment were included consecutively. A structured questionnaire was used to obtain socio-demographic data and medical histories. The Chinese version of the Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR), the Patient Health Questionnaire-15 (PHQ-15) and the Sheehan Disability Scale (SDS) were used for patient self-rating. Logistic regression model was used to explore the associated factors that could potentially be influential for the use antipsychotic augmentation.
Overall, quetiapine (43.4%) was the most commonly used as an adjunct to antidepressants, followed by olanzapine (38.8%). And antipsychotics were commonly cciated with the antipsychotics use in MDD patients.
Colorectal cancer (CRC) is major cancer-related death. The aim of this study was to identify differentially expressed and differentially methylated genes, contributing to explore the molecular mechanism of CRC.
Firstly, the data of gene transcriptome and genome-wide DNA methylation expression were downloaded from the Gene Expression Omnibus database. Secondly, functional analysis of differentially expressed and differentially methylated genes was performed, followed by protein-protein interaction (PPI) analysis. Thirdly, the Cancer Genome Atlas (TCGA) dataset and in vitro experiment was used to validate the expression of selected differentially expressed and differentially methylated genes. Finally, diagnosis and prognosis analysis of selected differentially expressed and differentially methylated genes was performed.
Up to 1958 differentially expressed (1025 up-regulated and 993 down-regulated) genes and 858 differentially methylated (800 hypermethylated and 58 hypomethylated) genes were identified. Interestingly, some genes, such as GFRA2 and MDFI, were differentially expressed-methylated genes. Purine metabolism (involved IMPDH1), cell adhesion molecules and PI3K-Akt signaling pathway were significantly enriched signaling pathways. GFRA2, FOXQ1, CDH3, CLDN1, SCGN, BEST4, CXCL12, CA7, SHMT2, TRIP13, MDFI and IMPDH1 had a diagnostic value for CRC. In addition, BEST4, SHMT2 and TRIP13 were significantly associated with patients' survival.
The identified altered genes may be involved in tumorigenesis of CRC. In addition, BEST4, SHMT2 and TRIP13 may be considered as diagnosis and prognostic biomarkers for CRC patients.
The identified altered genes may be involved in tumorigenesis of CRC. In addition, BEST4, SHMT2 and TRIP13 may be considered as diagnosis and prognostic biomarkers for CRC patients.
Bariatric surgery is considered to be the most effective treatment option for weight reduction in obese patients. Abdominal obesity is frequently accompanied by metabolic syndrome (MS). Adipokines are cell signaling proteins that have direct impact upon the metabolic homeostasis. The purpose of this analysis was to evaluate the effect of bariatric surgery, including laparoscopic sleeve gastrectomy (LSG) and laparoscopic gastric bypass (LRYGB) on the adipokine levels and metabolic profile as well as MS and status of type 2 diabetes (T2D).
We analyzed anthropometric parameters, blood levels of adipokines, vitamins, lipids and inflammatory markers in 30 bariatric surgery patients with obesity of class II or III 1 month before and 1 year after surgery as well as in 60 obese patients from general practice (GP) and 15 patients with normal body mass (control).
The BMI was significantly higher among patients before surgery and GP patients in comparison to control and post-surgery patients. The levels of glucoseble changes in levels of adipokines after bariatric surgery appear like increase in adiponectin and decrease in leptin levels. Significant improvement in anthropometric parameters, metabolic and inflammatory markers occurs, suggesting high potential for reduction of metabolic syndrome and risk for type 2 diabetes. We have shown for the first time ever that level of vitamin D may be involved in resistin regulation.
