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tal attendance, regardless of whether or not they are regular dental attenders, is important during the COVID-19 pandemic.

Rib fractures are a common presentation in both patients presenting with high impact poly-trauma and as a result of low energy falls in the elderly. This injury can lead to various complications including prolonged hospital admission, pneumonia, need for ventilation and in admission to intensive care unit. There is much controversy around the management of this injury in the literature, with favourable outcomes for patients treated non-operatively as well as surgically.

We collated a database for all rib fracture fixations between 2014 and 2019 that took place at the major trauma centre in Liverpool. The decision to undergo surgical fixation was after discussion with multidisciplinary team at trauma meeting. Following British Orthopaedic Association Standards for Trauma and Orthopaedics (BOASTs), these injuries should ideally be operated on within 48h.

Overall, a total of 220 patients were included in the study (143 male and 77 female). 142 (64%) patients were operated on within 48h of admission. A totacally reducing hospital length of stay by nearly 4 days (p=0.014).

Early surgical fixation of rib fractures leads to significantly favoured outcomes.

Early surgical fixation of rib fractures leads to significantly favoured outcomes.

To investigate the feasibility and short-term clinical efficacy of the arthrography-assisted joystick technique for the treatment of adolescent transitional ankle fracture.

A retrospective analysis was performed in 10 adolescent transitional ankle fracture patients treated with the arthrography-assisted joystick technology. There were 7 male patients and 3 female patients with a mean age of 12.80±1.81 years (range 10-16 years). All cases were closed fractures, and the operation was performed after the failure of manual reduction [X-ray or computed tomography (CT) showed that the fracture gap was > 2mm]. After the operation, X-ray or CT examination was performed to assess reduction of the fracture. Ankle function and fracture healing were evaluated by assessing the imaging indexes and evaluating the American Orthopedic Foot and Ankle Society (AOFAS) ankle score system.

All patients were followed up for an average period of 12.00±3.40 months (range 8-20 months). The operation time was 40.50±16.90min (range 25-80min), the number of intraoperative fluoroscopy sessions was 18.70±5.91 (range 10-30 sessions), and the intraoperative blood loss was 5.90±3.38ml (range 2-10ml). X-ray examination showed that all cases achieved bone healing. The fracture healing time was 11.00±2.45 weeks (range 8-16 weeks). Four cases showed early closure of the epiphysis. The AOFAS scoring system evaluation results of these 10 pediatric cases were excellent.

The arthrography-assisted joystick technique for the treatment of adolescent transitional ankle fracture offers advantages, such as minimal trauma, simple operation, ideal reduction effect, and the recent curative effect is satisfactory.

The arthrography-assisted joystick technique for the treatment of adolescent transitional ankle fracture offers advantages, such as minimal trauma, simple operation, ideal reduction effect, and the recent curative effect is satisfactory.

Variability in rehabilitation disposition has been proposed as a trauma center quality metric. Benchmarking rehabilitation disposition is limited by a lack of objective measures of functional impairment at discharge. The primary aim of this study was to determine the relative contribution of patient characteristics and hospitalization factors associated with inpatient and outpatient rehabilitation after discharge. The secondary aims were to evaluate the sensitivity of the Functional Status Scale (FSS) score for identifying functional impairments at hospital discharge and track post-discharge recovery.

We report a planned secondary analysis of a prospective observational study of seriously injured children (<15 years old) enrolled at seven pediatric trauma centers. Functional Status Scale (FSS) score was measured for pre-injury, hospital discharge, and 6-month follow-up timepoints. Multinomial logistic regression identified factors associated with three dispositions home without rehabilitation services,atient rehabilitation had impairments in all domains, with many improving within 6 months. A higher proportion of patients discharged to inpatient rehabilitation had residual impairments at follow-up.

Injury characteristics and discharge impairment were associated with discharge to inpatient rehabilitation. The FSS score identified impairments needing inpatient rehabilitation and characterized improvements after discharge. Less severe impairments needing outpatient rehabilitation were not identified by the FSS score.

Injury characteristics and discharge impairment were associated with discharge to inpatient rehabilitation. The FSS score identified impairments needing inpatient rehabilitation and characterized improvements after discharge. Less severe impairments needing outpatient rehabilitation were not identified by the FSS score.

Sarcopenia is a muscle disease that involves loss of muscle strength and physical function and is associated with adverse health effects. Even though sarcopenia has attracted increasing attention in the literature, many research findings have not yet been translated into clinical practice. In this article, we aim to validate a deep learning neural network for automated segmentation of L3 CT slices and aim to explore the potential for clinical utilization of such a tool for clinical practice.

A deep learning neural network was trained on a multi-centre collection of 3413 abdominal cancer surgery subjects to automatically segment muscle, subcutaneous and visceral adipose tissue at the L3 lumbar vertebral level. 536 Polytrauma subjects were used as an independent test set to show generalizability. The Dice Similarity Coefficient was calculated to validate the geometric similarity. Quantitative agreement was quantified using Bland-Altman’s Limits of Agreement interval and Lin’s Concordance Correlation Coefficrelative to human experts suggest that quantitative body composition analysis with deep learning should is a promising tool for clinical application in a hospital setting.

A deep learning method for automatic segmentation of truncal muscle, visceral and subcutaneous adipose tissue on individual L3 CT slices has been independently validated against expert human-generated results for an enlarged polytrauma registry dataset. Time efficiency, consistency and high accuracy relative to human experts suggest that quantitative body composition analysis with deep learning should is a promising tool for clinical application in a hospital setting.

Dysconnectivity theories, combined with advances in fundamental cognitive neuroscience, have led to increased interest in characterizing cerebellar abnormalities in psychosis. Smaller cerebellar gray matter volume has been found in schizophrenia spectrum disorders. However, the course of these deficits across illness stage, specificity to schizophrenia (vs. MYF0137 psychosis more broadly), and relationship to clinical phenotypes, primarily cognitive impairment, remain unclear.

The Spatially Unbiased Infratentorial toolbox, a gold standard for analyzing human neuroimaging data of the cerebellum, was used to quantify cerebellar volumes and conduct voxel-based morphometry on structural magnetic resonance images obtained from 574 individuals (249 schizophrenia spectrum, 108 bipolar with psychotic features, 217 nonpsychiatric control). Analyses examining diagnosis (schizophrenia spectrum, bipolar disorder), illness stage (early, chronic), and cognitive effects on cerebellum structure in psychosis were performed.

Cer early antecedents, atypical neurodevelopment, or both in cerebellar dysfunction. Future research focused on identifying the impact of early-life risk factors for psychosis on the development of the cerebellum and cognition is warranted.

Delivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing novel dynamic resting-state functional network markers of antidepressant response.

The Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study randomized adults with major depressive disorder to 8 weeks of either sertraline or placebo, and depression severity was evaluated longitudinally. Participants completed resting-state neuroimaging pretreatment and again after 1 week of treatment (n= 259 eligible for analyses). Coactivation pattern analyses identified recurrent whole-brain states of spatial coactivation, and computed time spent in each state for each participant was the main dynamic measure. Multilevel modeling estimated the associations between pretreatment network dynamics and sertraline response and between early (pretreatment to 1 week) changes in network dynamics and sertraline response.

Dynamic network markers of early sertraline response included increased time in network states consistent with canonical default and salience networks, together with decreased time in network states characterized by coactivation of cingulate and ventral limbic or temporal regions. The effect of sertraline on depression recovery was mediated by these dynamic network changes. In contrast, early changes in dynamic functioning of corticolimbic and frontoinsular-default networks were related to patterns of symptom recovery common across treatment groups.

Dynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.

Dynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.

Previous studies suggest that sleeping problems are frequent after cervical cancer. However, the evidence on the use of hypnotics is sparse. We investigated if women diagnosed with cervical cancer have an increased risk of using hypnotics and identified risk factors for prolonged use.

In this nationwide register-based cohort study, 4264 women diagnosed with cervical cancer from 1997 to 2013 and 36,632 cancer-free women were followed in registers until 2016. Prolonged use of hypnotics was defined as more than three prescriptions with no more than three months in between. Data were analysed using Cox proportional hazards regression models and multistate Markov models separately for women with localized and advanced cervical cancer.

The rate of first use of hypnotics was substantially increased during the first year after cervical cancer diagnosis compared to cancer-free women (HR

4.4, 95% CI 3.9-5.1; HR

8.9, 95% CI 7.5-10.6) and remained markedly increased for up to five years after diagnosis. Dependent on stage of disease and age, 1.4 to 4.7 excess women per 100 with cervical cancer were prolonged users of hypnotics compared to cancer-free women one year after diagnosis. Risk factors for prolonged use of hypnotics were higher age, short education, previous use of antidepressants or anxiolytics, and advanced disease.

Women diagnosed with cervical cancer are at increased risk of prolonged use of hypnotics. For the majority, treatment with hypnotics is initiated within the first year after cancer diagnosis, but the rate of first use is increased for up to five years.

Women diagnosed with cervical cancer are at increased risk of prolonged use of hypnotics. For the majority, treatment with hypnotics is initiated within the first year after cancer diagnosis, but the rate of first use is increased for up to five years.