16 research outputs found

    Are serum uric acid levels always elevated in acute gout?

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    Many patients with acute gout (11%-49%) have normal serum uric acid (SUA) levels (strength of recommendation [SOR]: A, prospective cohort studies). Patients taking allopurinol are significantly more likely to have normal uric acid levels during acute gout attacks (SOR: B, extrapolated from prospective cohorts)

    What's the best way to treat Achilles tendonopathy?

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    Rest and ice are considered first-line therapy for acute Achilles tendonopathy (strength of recommendation [SOR]: C, expert opinion), as is nonsteroidal anti- inflammatory drugs (NSAIDs) (SOR: B, systematic review). Chronic noninsertional Achilles tendonopathy should be treated with eccentric calf-muscle training (ECMT) (SOR: B, 3 randomized controlled trials [RCTs])

    Do glucosamine and chondroitin worsen blood sugar control in diabetes?

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    Despite theoretical risks based on animal models given high intravenous doses, glucosamine/chondroitin (1500 mg/1200 mg daily) does not adversely affect short-term glycemic control for patients whose diabetes is well-controlled, or for those without diabetes or glucose intolerance (SOR: A, consistent, good-quality patient-oriented evidence). Some preliminary evidence suggests that glucosamine may worsen glucose intolerance for patients with untreated or undiagnosed glucose intolerance or diabetes (SOR: C, extrapolation from disease-oriented evidence)

    What is the best way to treat Morton's neuroma?

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    No single treatment for Morton's neuroma has been identified in the literature.A protocol of stepped care that showed good results in an uncontrolled trial seems reasonable: patient education and footwear or insole changes, followed by corticosteroid injections and, finally, surgery (strength of recommendation [SOR]: C, case series). Injecting sclerosing alcohol depends on the provider's access to and comfort with ultrasound, but the evidence is insufficient to recommend it routinely (SOR: C, case series)

    Study and Development of Handwritten Numeral Character Recognition

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    Image processing is basically used to extract useful information from any input image. Recognition has a very important role in image processing. In this exploration work, we have concentrated on the recognition of the handwritten numeral characters. Neural Network is used for recognizing the different handwritten numerals. Our method comprises of three stages and they are pre-processing, training and recognition. Pre-processing stages includes removal of noise, binarization, re-scaling and finding the skeleton of an image. Skew correction is also used for segmenting the different characters in an image. In training stage we have used back propagation technique for recognizing different numeral characters. Different hidden layers are used while training to have better accuracy. Recognition stage recognizes the different characters in an image from the trained neural network. The above proposed system has been performed in Matlab. The system detects the numerals with an exactness in around 90-95%.It works well and has the similar accuracy in even twisted pictures or pictures having different size

    Nominal Differences in Acute Symptom Presentation and Recovery Duration of Sport-Related Concussion Between Male and Female Collegiate Athletes in the PAC-12

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    Abstract Background Sport-related concussion (SRC) is a heterogenous injury that often presents with varied symptoms and impairment. Recently, research has focused on identifying subtypes, or clinical profiles of concussion to be used in assessing and treating athletes with SRC. The purpose of this study was to investigate sex differences in clinical profiles, recovery duration, and initial symptom severity after SRC in a cohort of collegiate athletes in the Pacific-12 Conference (Pac-12). Methods This prospective cohort study examined post-SRC symptoms, recovery, and return-to-play times using data from the Pac-12 CARE Affiliated Program and Pac-12 Health Analytics Program. Clinical profiles reported by student-athletes were defined by the number (> 50%) of specific symptoms frequently reported for each profile. Generalized linear mixed models were used to examine associations among sex, clinical profiles, time-to-recovery, and return-to-play times. Results 479 concussion incidents met inclusion criteria. The probabilities of initial presentation of each clinical profile, initial injury severity scores, and recovery times within a profile did not differ between sexes (p = 0.33–0.98). However, both males and females had > 0.75 probabilities of exhibiting cognitive and ocular profiles. Initial injury severity score was a strong nonlinear predictor of initial number of clinical profiles (p < 0.0001), which did not differ between sexes. The number of clinical profiles was also a nonlinear predictor of time-to-recovery (p = 0.03) and return-to-play times (p < 0.0001). Conclusions Initial symptom severity was strongly predictive of the number of acute clinical profiles experienced post-SRC. As the number of clinical profiles increased, time-to-recovery and time to return-to-play also increased. Factors other than sex may be better associated with acute symptom presentation post-concussion as no sex differences were found in reported clinical profiles or recovery. Understanding the number and type of clinical profiles experienced post-SRC may help inform concussion diagnostics and management

    Pac-12 CARE-Affiliated Program: structure, methods and initial results

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    Sport-related concussion has garnered increasing scientific attention and research over the last decade. Collegiate student-athletes represent an important cohort in this field. As such, the Pac-12 CARE-Affiliated Program (CAP) was formed in 2017 as a regional hub of the Concussion Assessment, Research and Education (CARE) consortium. CAP is multisite, prospective, longitudinal study that aims to improve student-athlete health by identifying factors associated with concussion incidence and recovery and using this knowledge to inform best clinical practices and policy decisions. CAP employed a staggered rollout across the Pac-12, with the first four institutions enrolling in fall 2018. After receiving institutional review board (IRB) approval, these institutions began consenting student-athletes to share clinical concussion and baseline data for research purposes. Athletes completed baseline testing that included a medical questionnaire, concussion history and a battery for clinical concussion assessments. Concussed student-athletes were given the same battery of assessments in addition to full injury and return to play reports. Clinicians at each university worked with a data coordinator to ensure appropriate reporting, and the Pac-12 Concussion Coordinating Unit at the University of Colorado Boulder provided oversight for quality control of the data study wide. During year 1, CAP consented 2181 student-athletes and tracked 140 concussions. All research was conducted with the appropriate IRB approval across the participating Pac-12 institutions. Data security and dissemination are managed by the Presagia Sports Athlete Electronic Health Record software (Montreal, Quebec, Canada) and QuesGen Systems (San Francisco, California, USA)
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