Plougdowney2413

Postural orthostatic tachycardia syndrome (POTS) and restless legs syndrome (RLS) are both characterized by sleep disturbance along with autoimmune/inflammatory features and autonomic dysfunction. However, to our knowledge, there has been no direct study looking at the prevalence of RLS in patients with POTS patients compared with healthy participants (controls).

Ninety-six physician-diagnosed patients with POTS (89 female and 7 male) and 130 controls (99 female and 31 male) were administered the Cambridge Hopkins questionnaire. Participants who were diagnosed with probable or definite RLS on the Cambridge Hopkins questionnaire were then contacted to determine the severity of RLS with the International Restless Legs Scale.

More patients with POTS (15 of 96; 15.6%) than controls (6 of 130; 4.6%) were diagnosed with probable or definite RLS on the Cambridge Hopkins questionnaire (P = .0048). A sensitivity analysis with only female respondents yielded similar results. RLS severity was in the moderate range (12.23 ± 9.22).

There is a higher prevalence of RLS in patients with POTS patients compared with controls. This association may have to do with shared increased inflammatory/autoimmune load and autonomic dysfunction.

There is a higher prevalence of RLS in patients with POTS patients compared with controls. This association may have to do with shared increased inflammatory/autoimmune load and autonomic dysfunction.

To determine if polysomnographic cardiorespiratory outcomes are associated with and could have the potential to predict the presence of postoperative adverse respiratory events in children with neuromuscular disease undergoing any surgical procedure.

A retrospective cohort study was conducted at a tertiary pediatric institution. The study population included individuals with neuromuscular disease admitted for a surgical intervention under general anesthetic who had undergone a polysomnogram within 1 year before surgical intervention. Polysomnographic indices and postoperative adverse respiratory events were collected through chart review. Multivariable logistic regression was used to model postoperative adverse respiratory events, where PSG results were considered primary predictors.

Postoperative adverse respiratory events occurred in 25/61 (41%) of individuals and consisted mainly of desaturations requiring intervention 33 (73%), airway obstruction 15 (33%), and atelectasis (22%). Results from the unarse events.

Turkey's health reforms started in 2003 with providing changes in regulatory, financing, and healthcare services. Access to health care and pharmaceuticals increased rapidly, and this resulted with an increase in public pharmaceutical expenditures. Our study aims to quantify and to evaluate the impact of a specific process within the Turkish system called "Medicines Brought From Abroad" (MBFA).

We reviewed the general reimbursement legislations of Social Security Institution (SSI), the guideline on MBFA, the SSI reimbursement list, the list of MBFA published by the Ministry of Health to describe the current supply mechanism of medicines and, in particular, the role of MBFA.

Total costs of the of MBFA medicines over the period 2011-17 went up to more than $520 million, which takes 7.5 percent of total public pharmaceutical expenditure for 2017. Our results showed that MBFA provides access to many orphan drugs and in total, forty-two orphan drugs listed in MBFA accounted for 83 percent of all MBFA budget in the year 2017. Nine of the top ten MBFA medicines were orphan drugs and total costs were $408 million. The highest budget impact was for eculizumab for "paroxysmal nocturnal hemoglobinuria" (PNH), covering 31 percent of total MBFA costs and 2.3 percent of overall drug costs in 2017.

Turkey faced significant challenges for creating an access pathway for innovative medicines while continuing the sustainability of the public pharmaceutical budget like many other countries. Therefore, it may be argued that Turkey needs to create an independent health technology assessment organization to provide sustainable access to medicines in the future.

Turkey faced significant challenges for creating an access pathway for innovative medicines while continuing the sustainability of the public pharmaceutical budget like many other countries. Therefore, it may be argued that Turkey needs to create an independent health technology assessment organization to provide sustainable access to medicines in the future.

Chlorophytum comosum popularly known as Spider Ivy is used as medicinal plant in traditional Chinese medicine, however its detailed chemical composition and biological activity is yet unexplored.

To carry out phytochemical investigation on different parts of Chlorophytum comosum using GC-MS/LC-ESI-MS and evaluation of its antioxidant, haemolytic and antiproliferative potential on breast cancer (MCF-7), lung cancer (A549, H1299) and normal lung (L-132) cell lines.

Chemical constituents from aqueous roots and leaves extracts were identified using LC-ESI-MS/GC-MS. The identified compounds were annotated based on match of mass spectra with the literature using NIST 14 and METLIN databases. Antioxidant activity was checked using DPPH, FRAP and TPC assays. The antiproliferative effects of ethanolic roots and leaves extracts of Chlorophytum comosum were measured by MTT assay on breast cancer (MCF-7), lung cancer (A549 & H1299) and normal lung (L-132) cell lines. The toxicity studies of the extracts were carried out using Haemolysis assay.

GC-MS analysis identified 34 metabolites in roots and 17 from leaves, while as 17 compounds from roots and 7 from leaves were detected by LC-ESI-MS. Significant antiproliferative effects were observed on the A549 and MCF-7 cancer cell lines with IC50 values ranging from 56.86 µg/ml to 68.68 µg/ml while no marked response was observed against normal cell line L-132.

Our study represents the first report on the detailed chemical composition and antiproliferative potential of Chlorophytum comosum against lung and breast cancer cell lines.

Our study represents the first report on the detailed chemical composition and antiproliferative potential of Chlorophytum comosum against lung and breast cancer cell lines.

Automatic prediction of COVID-19 using deep convolution neural networks based pre-trained transfer models and Chest X-ray images.

This research employs the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early detection of the disease. Using Deep Learning models, the research aims at evaluating the effectiveness and accuracy of different convolutional neural networks models in the automatic diagnosis of COVID-19 from X-ray images as compared to diagnosis performed by experts in the medical community.

Due to the fact that the dataset available for COVID-19 is still limited, the best model to use is the InceptionNetV3. Performance results show that the InceptionNetV3 model yielded the highest accuracy of 98.63% (with data augmentation) and 98.90% (without data augmentation) among the three models designed. However, as the dataset gets bigger, the Inception ResNetV2 and NASNetlarge will do a better job of classification. All the performed networks tend to over-fit when data augmentation is not used, this is due to the small amount of data used for training and validation.

A deep transfer learning is proposed to detecting the COVID-19 automatically from chest X-ray by training it with X-ray images gotten from both COVID-19 patients and people with normal chest Xrays. The study is aimed at helping doctors in making decisions in their clinical practice due its high performance and effectiveness, the study also gives an insight to how transfer learning was used to automatically detect the COVID-19.

A deep transfer learning is proposed to detecting the COVID-19 automatically from chest X-ray by training it with X-ray images gotten from both COVID-19 patients and people with normal chest Xrays. The study is aimed at helping doctors in making decisions in their clinical practice due its high performance and effectiveness, the study also gives an insight to how transfer learning was used to automatically detect the COVID-19.The management of diabetes requires a medical nutritional therapy as an essential part of this treatment. There should be no 'one-size-fits-all' eating pattern for different patient´s profiles with diabetes. It´s clinically complex to suggest an ideal percentage of calories from carbohydrates, protein and lipids recommended for all patients with diabetes. Among the eating patterns that have shown beneficial effects on metabolic control of patients with type 2 diabetes is the Low-Carb diet, since the carbohydrate ingestion is viewed as the most important determinant of postprandial glucose and insulin response. In this context, theoretically it could make sense to reduce the daily amount of carbohydrates ingested, willing to achieve lower levels of HbA1c. There could be associated risks to this approach. The adherence to a Low-Carb Diet is here also discussed. This narrative review works on the current evidence for answering these questions regarding Low-Carb Diet as a possible alternative eating pattern for type 2 diabetes.

Poorly managed diabetes mellitus increases health care expenditures and negatively impacts health outcomes. There are 34 million people living with diabetes in the United States with a direct annual medical cost of $237 billion. The patient-centered medical home (PCMH) was introduced to transform primary care by offering team-based care that is accessible, coordinated, and comprehensive. Although the PCMH is believed to address multiple gaps in delivering care to people living with chronic diseases, the research has not yet reported clear benefits for managing diabetes.

The study reviews the scientific literature about diabetes mellitus outcomes reported by PCMHs, and understands the impact of team-based care, interdisciplinary communication, and care coordination strategies on the clinical, financial, and health-related outcomes.

The systematic review was performed according to the Cochrane method and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Eight databases were systematir team-based care, communication, and care coordination with comparisons to patient, clinical, health, and financial outcomes.

The quality and strength of the outcomes were largely inconclusive about the overall effectiveness of the PCMH. Defining and comparing concepts across studies was difficult as universal definitions specific to the PCMH were not often applied. More research is needed to unpack the care model of the PCMH to further understand how the individual key components, such as care bundles, contribute to improved outcomes. Further evaluations are needed for team-based care, communication, and care coordination with comparisons to patient, clinical, health, and financial outcomes.

Human immunodeficiency virus (HIV) infection continues to expand worldwide, and a significant proportion of infection is still undiagnosed. Recent studies have addressed the impact and feasibility of 'opt-out' HIV screening in Emergency Departments (EDs) in urban settings at high HIV prevalence, whereas little is known about the yield of implementing 'targeted' HIV testing, especially in low-prevalence areas.

The present study undertakes a scoping review of research carried out on the implementation of targeted HIV screening of adult in EDs to determine the impact, feasibility and acceptability of HIV testing in different HIV prevalence settings.

Online databases (EMBASE, MEDLINE) were used to identify papers published between 2000 to 2020. GO-203 purchase A three-concept search was employed with HIV (HIV, Human immunodeficiency virus infection, HIV infections), targeted testing (Target, screening or testing) and emergency medicine (Emergency Service, emergency ward, A&E, accident and emergency or Emergency Department) (28

February 2020).