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A prospective study on clinical, radiographic, and health-related quality of life (HRQoL) outcomes in children with acute spondylolysis treated with a rigid thoracolumbar orthosis or with an elastic lumbar support.
To compare outcomes of pediatric spondylosysis treated with a hard brace or an elastic lumbar support.
The benefits of the use of a rigid orthosis in treatment of spondylolysis are not clear.
Fifty-seven consecutive children with acute spondylolysis (mean age 14.1yr, range 9-17yr) were prospectively enrolled. Patients were treated with a rigid thoracolumbar orthosis (Boston brace) or with a low-profile, elastic lumbar support. First 14 patients were randomized the remaining 43 chose brace type themselves. Treatment period was four months. Treatment outcomes included bony union of the spondylolysis assessed with a computed tomography at four months and HRQoL using the Scoliosis Research Society-24 outcome questionnaire filled out before and after the treatment.
Of the 57 patients, 54 completed the treatment protocol. Twenty-nine patients were treated using the Boston brace and 25 patients the elastic lumbar support. Bony union was obtained in 69.0% (20/29) of the Boston brace and in 60.0% (15/25) of the elastic lumbar support group patients. Difference in union rates was not significant (relative risk=1.14, 95% confidence interval 0.44-2.98, P =0.785). There was no difference in the Scoliosis Research Society-24 total or domain scores at the end of follow-up between the treatment groups ( P >0.159 for all comparisons). In the whole cohort, the bony union did not predict better HRQoL in the end of the treatment ( P =0.869), although the pain domain improved significantly in the whole cohort ( P <0.001).
A rigid thoracolumbar orthosis did not provide any benefits over an elastic lumbar support in terms of bony union or HRQoL outcomes in children with acute spondylolysis.
2.
2.Saccadic eye movements are often imprecise and result in an error between expected and actual retinal target location after the saccade. Repeated experience of this error produces changes in saccade amplitude to reduce the error and concomitant changes in apparent visual location. We investigated the relationship between these two plastic processes in a series of experiments. Following a recent paradigm of inhibition of saccadic adaptation, in which participants are instructed to look at the initial target position and to continue to look at that position even if the target were to move again, our participants nevertheless perceived a visual probe presented near the saccade target to be shifted in direction of the target error. The location percept of the target gradually shifted and diverged over time from the executed saccade. Our findings indicate that changes in perceived location can be the same even when changes in saccade amplitude differ according to instruction and can develop even when the amplitude of the saccades executed during the adaptation procedure does not change. There are two possible explanations for this divergence between the adaptation states of saccade amplitude and perceived location. Either the intrasaccadic target step might trigger updating of the association between pre- and post-saccadic target positions, causing the localization shift, or the saccade motor command adjusts together with the perceived location at a common adaptation site, downstream from which voluntary control is exerted upon the executed eye movement only.Although many theories of attention highlight the importance of similarity between target and distractor items for selection, few studies have directly quantified the function underlying this relationship. Across two commonly used tasks-visual search and sustained attention-we investigated how target-distractor similarity impacts feature-based attentional selection. Importantly, we found comparable patterns of performance in both visual search and sustained feature-based attention tasks, with performance (response times and d', respectively) plateauing at medium target-distractor distances (40°-50° around a luminance-matched color wheel). In contrast, visual search efficiency, as measured by search slopes, was affected by a much more narrow range of similarity levels (10°-20°). We assessed the relationship between target-distractor similarity and attentional performance using both a stimulus-based and psychologically-based measure of similarity and found this nonlinear relationship in both cases. However, psychological similarity accounted for some of the nonlinearities observed in the data, suggesting that measures of psychological similarity are more appropriate when studying effects of target-distractor similarities. These findings place novel constraints on models of selective attention and emphasize the importance of considering the similarity structure of the feature space over which attention operates. Broadly, the nonlinear effects of similarity on attention are consistent with accounts that propose attention exaggerates the distance between competing representations, possibly through enhancement of off-tuned neurons.Human vision relies on mechanisms that respond to luminance edges in space and time. Most edge models use orientation-selective mechanisms on multiple spatial scales and operate on static inputs assuming that edge processing occurs within a single fixational instance. Recent studies, however, demonstrate functionally relevant temporal modulations of the sensory input due to fixational eye movements. Here we propose a spatiotemporal model of human edge detection that combines elements of spatial and active vision. The model augments a spatial vision model by temporal filtering and shifts the input images over time, mimicking an active sampling scheme via fixational eye movements. The first model test was White's illusion, a lightness effect that has been shown to depend on edges. The model reproduced the spatial-frequency-specific interference with the edges by superimposing narrowband noise (1-5 cpd), similar to the psychophysical interference observed in White's effect. Second, we compare the model's edge detection performance in natural images in the presence and absence of Gaussian white noise with human-labeled contours for the same (noise-free) images. Notably, the model detects edges robustly against noise in both test cases without relying on orientation-selective processes. Eliminating model components, we demonstrate the relevance of multiscale spatiotemporal filtering and scale-specific normalization for edge detection. The proposed model facilitates efficient edge detection in (artificial) vision systems and challenges the notion that orientation-selective mechanisms are required for edge detection.
Multiple descriptive studies have been published on refracture patterns, particularly for forearm fractures. However, few large cohorts have been analyzed quantitatively including the odds of refracture, and with a comprehensive assessment of the possible predictive factors associated with refracture. This study aimed to assess the frequency and timing of upper extremity refracture in a large pediatric orthopaedics practice, and to evaluate the strength of association of various patient-level and fracture-related factors with refracture.
Medical records were reviewed retrospectively for patients 1 to 18 years of age with at least 1 upper extremity fracture (ICD-9 codes 810 to 819) between June 1, 2010 and May 31, 2011. Characteristics of patients and fractures were assessed for the association with refracture using bivariate analysis and multivariable logistic regression.
Among 2793 patients with a total of 2902 upper extremity fractures, 2% were treated for refracture within 2 years, at a median of 6 mtudy. Falls and high energy activities, such as use of wheeled devices, skis, or trampolines, were important mechanisms of refracture.
This study is a Level II prognostic study. It is a retrospective study that evaluates the effect of patient and fracture characteristics on the outcome of upper extremity refracture.
This study is a Level II prognostic study. It is a retrospective study that evaluates the effect of patient and fracture characteristics on the outcome of upper extremity refracture.
Elbow fractures are the most common pediatric fractures requiring operative treatment. Although recent reports have suggested that the COVID-19 pandemic has markedly reduced the incidence of pediatric fractures, no study has specifically evaluated the impact on pediatric elbow fractures. This study aimed to evaluate changes in the incidence, severity, and resource utilization for managing pediatric elbow fractures during the COVID-19 pandemic, compared with prepandemic years.
A prepandemic (2007 to 2017) cohort and a COVID-19 pandemic period (March 2020 to March 2021) cohort of pediatric elbow injuries from a single tertiary hospital were retrospectively examined and compared. WP1066 cell line Exclusion criteria included outside treatment or lack of diagnosis by an orthopedist. Presentation information, injury patterns, transport, and treatment requirements were collected.
Although the incidence of pediatric elbow fractures and rate of neurovascular injury were comparable, seasonal patterns were not sustained and the ra the COVID-19 period, whereas the operative volume and need for hospital admission increased compared with years prior. Furthermore, this study demonstrated how the COVID-19 pandemic altered the interface between pediatric patients with elbow fractures and our institution regarding the location of presentation and transportation.
Level III-retrospective cohort study.
Level III-retrospective cohort study.
The PULsE-AI trial sought to determine the effectiveness of a screening strategy that included a machine learning risk prediction algorithm in conjunction with diagnostic testing for identification of undiagnosed atrial fibrillation (AF) in primary care. This study aimed to evaluate the cost-effectiveness of implementing the screening strategy in a real-world setting.
Data from the PULsE-AI trial - a prospective, randomized, controlled trial conducted across six general practices in England from June 2019 to February 2021 - were used to inform a cost-effectiveness analysis that included a hybrid screening decision tree and Markov AF disease progression model. Model outcomes were reported at both individual- and population-level (estimated UK population ≥30 years of age at high-risk of undiagnosed AF) and included number of patients screened, number of AF cases identified, mean total and incremental costs (screening, events, treatment), quality-adjusted-life-years (QALYs), and incremental cost-effectivenesF, thus alleviating primary care burden.
Compared with routine care only, it is cost-effective to target individuals at high risk of undiagnosed AF, through an AF risk prediction algorithm, who should then undergo diagnostic testing. This AF risk prediction algorithm can reduce the number of patients needed to be screened to identify undiagnosed AF, thus alleviating primary care burden.The interaction of low-energy electrons (LEEs) with DNA plays a significant role in the mechanisms leading to biological damage induced by ionizing radiation, particularly in radiotherapy, and its sensitization by chemotherapeutic drugs and nanoparticles. Plasmids constitute the form of DNA found in mitochondria and appear as a suitable model of genomic DNA. In a search for the best LEE targets, damage was induced to plasmids, in thin films in vacuum, by 6, 10, and 100 eV electrons under single collision conditions. The yields of single- and double-strand breaks, other cluster damage, isolated base lesions, and crosslinks were measured by electrophoresis and enzyme treatment. The films were deposited on oriented graphite or polycrystalline tantalum, with or without DNA autoassembly via diaminopropane (Dap) intercalation. Yields were correlated with the influence of vacuum, film uniformity, surface density, substrates, and the DNA environment. Aided by surface potential measurements and scanning electron microscopy and atomic force microscopy images, the lyophilized Dap-DNA films were found to be the most practical high-quality targets.
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