Background Coronavirus disease 2019 (COVID-19) is a severe respiratory viral illness that has spread rapidly across the world. However, the United Kingdom has been particularly affected. Evidence has suggested that stroke, cardiac, and spinal presentations decreased during the pandemic as the public avoided seeking care. The effect on neurosurgical presentations and referrals during COVID-19 is unclear. Our aim, therefore, was to describe the referral patterns to a high-volume neurosurgical department in the United Kingdom during the COVID-19 pandemic. Methods Electronic referrals were identified from the referrals database from January 1, 2020 to May 31, 2020, inclusive, with January used as the baseline. The demographic data and referral diagnoses were captured on Excel (Microsoft, Redmond, Washington, USA). Statistical analyses were performed using SPSS, version 22 (IBM Corp., Armonk, New York, USA). Differences between referral volumes were evaluated using χ 2 goodness-of-fit tests. Results A total of 2293 electronic referrals had been received during the study period. The median age was 63 years. Overall, the referrals had decreased significantly in volume during the study period [χ 2 (4) = 60.95; P < 0.001]. We have described the patterns in the daily referrals as the pandemic progressed. The reduction in the volume of referrals for degenerative spine cases and traumatic brain injuries was statistically significant ( P < 0.001). Conclusions The referrals for degenerative spine and traumatic brain injuries decreased significantly during the pandemic, which can be explained by the lower vehicular traffic and patient avoidance of healthcare services, respectively. The risk of neurological deterioration and increased morbidity and mortality, as a consequence, is of concern, and neurosurgeons worldwide should consider the optimal strategies to mitigate these risks as the pandemic eases.
Introduction The pathophysiological process of Alzheimer's disease is thought to begin years before clinical decline, with evidence suggesting prion-like spreading processes of neurofibrillary tangles and amyloid plaques. Methods Using diffusion magnetic resonance imaging data from the Alzheimer's Disease Neuroimaging Initiative database, we first identified relevant features for dementia diagnosis. We then created dynamic models with the Nathan Kline Institute-Rockland Sample database to estimate the earliest detectable stage associated with dementia in the simulated disease progression. Results A classifier based on centrality measures provides informative predictions. Strength and closeness centralities are the most discriminative features, which are associated with the medial temporal lobe and subcortical regions, together with posterior and occipital brain regions. Our model simulations suggest that changes associated with dementia begin to manifest structurally at early stages. Discussion Our analyses suggest that diffusion magnetic resonance imaging–based centrality measures can offer a tool for early disease detection before clinical dementia onset.
This study suggests that re-do surgery is a viable treatment option for patients with recurrent cranial metastases.
Over the past 50 years the capability of technology to improve surgical care has been realised and while surgical trainees and trainers strive to deliver care and train; the technological ‘solutions’ market continues to expand. However, there remains no coordinated process to assess these technologies. The FOS:TEST Report aimed to (1) define the current, unmet needs in surgical training, (2) assess the current evidence-base of technologies that may be beneficial to training and map these onto both the patient and trainee pathway and (3) make recommendations on the development, assessment, and adoption of novel surgical technologies. The FOS:TEST Commission was formed by the Association of Surgeons in Training (ASiT), The Royal College of Surgeons of England (RCS England) Robotics and Digital Surgery Group and representatives from all trainee specialty associations. Two national datasets provided by Health Education England were used to identify unmet surgical training needs through qualitative analysis against pre-defined coding frameworks. These unmet needs were prioritised at two virtual consensus hackathons and mapped to the patient and trainee pathway and the capabilities in practice (CiPs) framework. The commission received more than 120 evidence submissions from surgeons in training, consultant surgeons and training leaders. Following peer review, 32 were selected that covered a range of innovations. Contributors also highlighted several important key considerations, including the changing pedagogy of surgical training, the ethics and challenges of big data and machine learning, sustainability, and health economics. This summates to 7 Key Recommendations and 51 concluding statements. The FOS:TEST Commission was borne out of what is a pivotal point in the digital transformation of surgical training. Academic expertise and collaboration will be required to evaluate efficacy of any novel training solution. However, this must be coupled with pragmatic assessments of feasibility and cost to ensure that any intervention is scalable for national implementation. Currently, there is no replacement for hands-on operating. However, for future UK and ROI surgeons to stay relevant in a global market, our training methods must adapt. The Future of Surgery: Technology Enhanced Surgical Training Report provides a blueprint for how this can be achieved.
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