Hopkinssilver2987

Cemented hemiarthroplasty to treat femoral neck fractures (FNFs) in elderly patients is controversial. Therefore, this study aimed to compare cemented vs uncemented outcomes.

A literature review using Pubmed, EMBASE, Cochrane Library, and Science Citation Index databases was conducted. Studies comparing outcomes of cemented with uncemented hemiarthroplasty for FNFs in elderly patients up to March 2020 were included. MDL-28170 in vivo Dichotomous outcomes were pooled and reported as relative risk (RR) or odds ratio (ORs), while continuous outcomes were pooled and reported as the mean difference (MD) or standardized mean difference (SMD).

The analysis included 39 studies with a total of 112 576 patients. Pooled analysis revealed that compared with cemented, patients with uncemented intervention had better outcomes for intraoperative blood loss (OR 0.19; 95% CI 0.01-0.37), systolic blood pressure (OR 2.83; 95% CI 1.51-5.28), surgery duration (SMD, 0.51; 95% CI 0.2-0.81), length of anesthesia (OR 0.28; 95% CI 0.11-0.45), 6-month mortality (OR 1.11; 95% CI 1.03-1.2), cardiovascular accidents (OR 2.14; 95% CI 1.07-4.28), respiratory failure (OR 8.26; 95% CI 1.38-49.4), fat embolisms (OR 1.58; 95% CI 1.29-1.93), and heterotrophic ossification (OR 2.3; 95% CI 1.3-4.06), but more intraoperative accidents (OR 0.34; 95% CI 0.26-0.45), postoperative fractures (OR 0.27; 95% CI 0.21-0.34), reoperations (OR 0.59; 95% CI 0.53-0.65), and revisions (OR 0.62; 95% CI 0.44-0.88).

Meta-analysis of hemiarthroplasty outcomes shows that elderly patients who underwent uncemented vs cemented procedures had better results for several factors that are important for not only improved recovery in elderly populations, but also more intraoperative and postoperative risks.

Meta-analysis of hemiarthroplasty outcomes shows that elderly patients who underwent uncemented vs cemented procedures had better results for several factors that are important for not only improved recovery in elderly populations, but also more intraoperative and postoperative risks.Patient knowledge of risk factors, signs and symptoms associated with oral cancers is crucial for increasing the likelihood of patient presentation for opportunistic screening and reducing delay in patient appraisal for early detection. This study aimed to assess the knowledge of oral cancer and to ascertain socio-demographic factors that influence knowledge amongst adult dental patients attending public clinics in Brisbane, Australia. A convenience sample of 213 adult dental patients who attended the Herston and Stafford public health clinics in Brisbane, Australia, between July and August 2019 participated in the self-administered questionnaire. Multivariate analyses were performed to identify predictors for oral cancer knowledge. Patients were well informed of smoking as a risk factor (n = 135; 84.4%), whereas only 53.8% (n = 82) of participants agreed that heavy alcohol consumption was a risk factor. A larger proportion of participants identified difficulty of moving the tongue (n = 79; 49.4%) and pain on swallowing (n = 72; 45.0%) compared to the proportion who identified fixed red patches (n = 61; 38.1%) and fixed white patches (n = 57; 35.6%) as a sign or symptom. Education level and gender were significant knowledge predictors for alcohol (p = 0.01), old age (p = 0.008) and family history (p = 0.004) as a risk factors for oral cancer. Those with a family history of cancer were more likely to identify a red patch (p = 0.02), bleeding gums (p = 0.001) and altered sensation (p = 0.023) as a sign or symptom of oral cancer. Overall, patient knowledge was greater for risk factors than for signs and symptoms for oral cancer. Symptoms associated with later stages of cancer were recognised by a greater proportion of patients compared to early stages of oral cancer. These results indicate the need for targeted public health initiatives to improve patient knowledge.Fungi of Aspergillus and Penicillium genus can infect peas (Pisum sativum), leading to a contamination with the nephrotoxic and carcinogenic ochratoxin A (OTA). Under unfavourable conditions, a fungus primarily found on lupines, Diapothe toxica, may also grow on peas and produce the hepatotoxic phomopsin A (PHOA). To study the effect of processing on OTA and PHOA content, two model products-wheat/rye-mixed bread with pea flour addition and pea pasta-were manufactured at small-business scale from artificially contaminated pea flour. The decrease of OTA and PHOA contents were monitored along the production process as indicators for toxin transformation. Pea bread dough was subjected to proofing for 30-40 min at 32 °C and baked at 250 °C to 230 °C for 40 min. OTA content (LODs less then 0.1 μg/kg) showed a reduction in the bread crust (initially 17.0 μg/kg) to 88% and no reduction in the crumb (110%). For PHOA (LODs less then 3.6 μg/kg), a decrease to approximately 21% occurred in the bread crust (initially 12.5 μg/kg), whilst for crumb, a less intense decrease to 91% was found. Pea pasta prepared with two toxin levels was extruded at room temperature, dried and cooked for 8 min in boiling water. In pea pasta, OTA was reduced from 29.8 to 13.9 μg/kg by 22% each after cooking, whilst 15% and 10% of the initial toxin amounts were found in the cooking water, respectively. For PHOA, 60% and 78% of initially 14.3 μg/kg and 7.21 μg/kg remained in the cooked pasta. As only the decrease of the initial content was measured and no specific degradation products could be detected, further research is needed to characterise potential transformation products. Heat treatment reduces the initial PHOA content stronger than the OTA content during pasta cooking and bread making. However, significant amounts of both toxins would remain in the final products.

Based on current evidence, recent guidelines of the National Institute of Health, USA indicated the use of remdesivir and dexamethasone for the treatment of COVID-19 patients with mild-moderate disease, not requiring high-flow oxygen. No therapeutic agent directed against the immunologic pathogenic mechanisms related to the cytokine release syndrome complicating the disease was indicated.

The purpose of this review was to assess the clinical impact of different therapies for COVID-19; thus, helping to identify the optimal management of the disease. To explain the rationale for the different therapeutic approaches, the characteristics of SARS-CoV-2, the pathogenesis of COVID-19, and the immune response triggered by SARS-CoV-2 infection were reported.

The efficacy assessment of the different treatments was performed by a systematic review in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Available English language published articles including randomised contrormed by the ongoing RCTs.

Beyond the supportive therapy, up to now the best therapeutic approach for COVID-19 may be a three-step combination therapy, including remdesivir 100 mg/day (200 mg loading dose on first day) in the first stage of the disease, and combined dexamethasone 6 mg/day plus baricitinib 4 mg/day to target the immune dysregulation triggered by the SARS-CoV-2 infection. The promising results of anakinra should be confirmed by the ongoing RCTs.Hot spot residues at protein-DNA binding interfaces are hugely important for investigating the underlying mechanism of molecular recognition. Currently, there are a few tools available for identifying the hot spot residues in the protein-DNA complexes. In addition, the three-dimensional protein structures are needed in these tools. However, it is well known that the three-dimensional structures are unavailable for most proteins. Considering the limitation, we proposed a method, named SPDH, for predicting hot spot residues only based on protein sequences. Firstly, we obtained 133 features from physicochemical property, conservation, predicted solvent accessible surface area and structure. Then, we systematically assessed these features based on various feature selection methods to obtain the optimal feature subset and compared the models using four classical machine learning algorithms (support vector machine, random forest, logistic regression, and k-nearest neighbor) on the training dataset. We found that the variability of physicochemical property features between wild and mutative types was important on improving the performance of the prediction model. On the independent test set, our method achieved the performance with AUC of 0.760 and sensitivity of 0.808, and outperformed other methods. The data and source code can be downloaded at https//github.com/xialab-ahu/SPDH .The recent emergence and rapid global spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pose an unprecedented medical and socioeconomic crisis, and the disease caused by it, Coronavirus disease 2019 (COVID-19), was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Chinese scientists and physicians rapidly identified the causative pathogen, which turned out to be a novel betacoronavirus with high sequence similarities to bat and pangolin coronaviruses. The scientific community has ignited tremendous efforts to unravel the biological underpinning of SARS-CoV-2, which constitutes the foundation for therapy and vaccine development strategies. Here, we summarize the current state of knowledge on the genome, structure, receptor, and origin of SARS-CoV-2.

This study systematically identified and synthesized empirical data-driven modeling studies that projected the future influence of global warming on people's physical activity patterns.

A total of ten studies met the eligibility criteria and were included in the review. Global warming, in general, was predicted to be associated with a net increase in active commuting and leisure-time physical activity. However, the specific relationship between climate change and future physical activity patterns was expected to vary by the periods of prediction, geographical locations, population subgroups, and seasons. Moreover, the positive association between global warming and physical activity could level off or be reversed once reaching a temperature threshold. Preliminary evidence suggested a net increase in physical activity by mid- to late-twenty-first century owing to global warming. Future studies should refine the projections by taking into account the indirect effect of global warming through induced naturaleasures to mitigate the negative impact of global warming on vulnerable population subgroups.

Type 1 diabetes mellitus (T1DM) is on the rise in Saudi Arabia. Management of T1DM is crucial in curbing the economic burden of this disease. Studies on insulin pump issues are scarce in the region. The present study aims to fill this gap.

In this single-centre, retrospective study done in King Abdulaziz Medical City (KAMC) from March 2018 to March 2019, a total of 118 known Saudi T1DM adults (34 males and 84 females) were included. Data on demographics, glycated haemoglobin (HbA1c) and CSII use were collected.

The most common problem encountered by the patients on CSII was breaking down of the pump (30.0%), relocation of the cannula or tubing (22%) and air bubbles affecting delivery (16.1%). Eighty-one subjects (68.6%) claimed to have been admitted for DM management while on CSII. The use of CSII led to a significant reduction in HbA1c in all subjects (p < 0.001), but levels remain suboptimal. Only 53 subjects (44.9%) reported no significant problems in their CSII experience.

There is a high prevalence of T1DM adult patients experiencing device malfunctions and other issues while on CSII therapy.