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Additional file 3 of Effectiveness and implementation of interventions for health promotion in urgent and emergency care settings: an umbrella review
No full textAdditional file 4 of Effectiveness and implementation of interventions for health promotion in urgent and emergency care settings: an umbrella review
No full textAdditional file 2 of Under- and post-graduate training to manage the acutely unwell patient: a scoping review
No full textAdditional file 1 of A systematic review and meta-analysis of suicidality in autistic and possibly autistic people without co-occurring intellectual disability
No full textModelling predictors of relapsing adult MOGAD
Get PDFIn myelin oligodendrocyte glycoprotein antibody associated disease (MOGAD), only approximately 40%-60% of patients develop a relapsing disease course, for which the preventative treatment is long-term immunotherapy. Due to its significant adverse effect burden, long-term immunosuppression should generally be reserved only for patients likely to relapse, but there are currently no widely accepted predictors of developing relapsing MOGAD. A recent literature search published in February 2023 found no predictors of relapse in paediatric MOGAD.
Identifying the predictive value of the combined risk factors for developing relapsing disease is of direct interest for the patient and for the treating neurologist, who needs to make the decision to commence maintenance therapy in MOGAD. Equally, quantifying the degree of uncertainty of prediction is important in the transparent communication with the patient, who needs to make an informed decision regarding the treatment.
Studies in literature have most often studied predictors of relapse individually, but not combined. Having completed a scoping review of the available literature on predictors of relapsing MOGAD, our planned data analysis will aim to test the value of a model including the relevant predictors of developing relapsing MOGAD in adult patients with MOGAD (with onset in adulthood or childhood), using an observational data set (clinical data of adult patients with MOGAD – NMOSD&MOGAD Clinic, Nottingham Centre for MS and Neuroinflammation) and test the resulting model in an independent dataset sample (clinical data of adult MOGAD patients, the NMOSD Excellence Service, Walton Centre Liverpool)
Additional file 1 of Genetic variation and demographic history of Sudan desert sheep reveal two diversified lineages
No full textExploring the Bias: How Skin Colour Influences Oxygen Saturation Readings via Monte Carlo Simulations
No full textThe main of this study is to gain theoretical insights into the effect of skin tone on SpO2 - R curves by using a three-dimensional, four-layer finger tissue model. The purpose was to understand the the root cause of reported oxygen saturation overestimation in heavily pigmented skin types to devise solutions toward enabling equity in pulse oximeter design. A finger tissue model, containing the epidermis, dermis, two arteries and a bone was developed using a Monte Carlo based approach in the MCmatlab software tool. Two different skin tones were simulated - light and dark skin by adjusting the optical properties within the epidermal layer. Based on this SpO2 vs R curves were produced in various tissue configurations, including transmission and reflection mode using red and infrared wavelengths. Further to this, the influence of source-detector separation distances on both light and dark skin tissue models were investigated
Spin noise spectroscopy of an alignment-based atomic magnetometer
No full textData taken to verify the spin noise spectroscopy of an alignment based magnetometer. 1microWatt of light was used at a Larmor Frequency of ~9.5kHz. Each data file consists of one hundred one-second samples. For the polarisation angle being varied the white noise voltage applies was set to 140mVrms. The polarisation angle was varied from -20degrees to 120 degrees. When varying the white noise amplitude the polarisation angle was set to 25 degrees. The white noise amplitude was varied from 7mVrms to 3500mVrms. The values of the varied parameter can be found in the python script for each data set
Molecular biointerface characterisation for an implanted medical device
No full textDespite their wide adoption, implanted medical device failures due to FBR remain significant and this process is poorly understood. Silicone rubber is a commonly employed material for implants, so here a poly(dimethyl siloxane) catheter is considered. Cryo-OrbiSIMS has for the first time been evaluated for characterisation of the biological deposition on implanted medical devices to expand our molecular biointerfacial description of the foreign body reaction (FBR) cascade. We remove subcutaneously implanted tube sections after 1 and 28 days in mice. Time-of-flight (ToF) SIMS was used for imaging, whilst OrbiSIMS analysis was used on the same instrument to characterise the metabolites in the biointerface at the surface of the explanted samples. Molecular formula predictor (MFP) peak assignments were coupled with both the machine learning logistic regression analysis approach and statistical comparisons to decipher changes in biomolecular makeup on the catheter surface. The analysis reveals elevated levels of sugars and itaconate were observed at 1 day while markers for inflammation such as urate, the common saturated fatty acids, myristic acid ( FA 14:0) and palmitic acid (FA 16:0) were higher on the catheter surfaces after 28 days of implantation. Analysis of the molecular depth profiles of the biointerface formed after 28 days of implantation reveals two distinct layers of biomolecule mixtures, where the layer next to the surface of the catheter is enriched in lipids while the area proximal to the collagenous capsule and host cell layer revealed by histology is dominated by fatty acids, amino acids from proteins and nucleic acid bases from RNA and DNA. The proteins and oligonucleotides are thought to originate from the cells whilst we postulate that the fatty acids are the original molecules deposited on the polymer device upon implantation. After only 1 day of implantation, few lipids are dominant, specifically the oxidised glycerophosphoglycerol PG (39:1;O) and the unsaturated fatty acid, FA 18:2 which are also found at the polymer surface after depth profiling through the biointerface of the 28-day implant, suggesting their importance in in the initial implant recognition. This is consistent with literature correlating oxidised lipids with inflammation. The information gained contributes to understanding the host response to implanted biomaterials to aid the design medical devices with reduced FBR
On-surface polymerisation and self-assembly of DPP-based molecular wires
No full textThe incorporation of organic semiconducting materials within solid-state electronic devices provides a potential route to highly efficient photovoltaics, transistors, and light emitting diodes. Key to the realisation of such devices is efficient intramolecular charge transport within molecular species, as well as intermolecular/interdomain transport, which necessitates highly ordered supramolecular domains. The on-surface synthesis of polymeric organic materials (incorporating donor and/or acceptor moieties) is one pathway towards the production of highly ordered molecular domains. Here we study the formation of a polymer based upon a diketopyrrolopyrrole (DPP) monomer unit, possessing aryl-halide groups to facilitate on-surface covalent coupling and functionalised with alkyl chains which drive the self-assembly of both the monomer material prior to reaction and the domains of polymeric material following on-surface synthesis. The self-assembled structure of close-packed domains of the monomer units, and the ordered polymers, are investigated and characterised using scanning tunnelling microscopy and X-ray photoelectron spectroscopy