39 resultados para OSTEOARTICULAR


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Osteoarticular diseases are very frequent in small animals, especially dogs. Osteoarthritis is the most common degenerative arthropathy in cats and dogs. It is one of the most important skeletal disease in small animals and it is divided into two broad classes: secondary and genetics. The secondary is originated from situations that can cause joint instability like as trauma, ligament problems and obesity among others. The gene for osteoarthritis comes from hereditary problems such as hip dysplasia, elbow dysplasia and other diseases that can cause articular instability. The hereditary osteoarticular diseases are important only because they can result in the osteoarthritis. It is important to prevent the joint instability and consequently the clinical signs that affect the quality of life of the animals. The most common clinical signs are intermittent claudication, a decrease in performance, reluctance to jump and climb ladders among others. To prevent the clinical signs or mitigate them, the treatments need to be focused on pain control and especially restoration of the affected joint. The treatments most used are the medical and surgery. Anti-inflammatory and analgesics are used in large scale for pain control and to inhibit inflammatory mediators. Furthermore, medical treatment includes weight reduction, physiotherapy and proper nutrition along with anti-inflammatory and analgesics. Surgical treatments are indicated if there is an inadequate response to medical treatment. Physiotherapy is often used in conjunction with other treatments. Besides the reduction of weight is essential and obesity is unacceptable. Cats also suffer from osteoarthritis, but the diagnosis is rarer than in dogs. Usually the cat’s owners relate the reluctance to jump and drop in performance with senility, and when the disease is diagnosed is already in... (Complete abstract click electronic access below)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Musculoskeletal injuries that occur in horses during sports activities are often disabling and require a long period of treatment and rehabilitation, most resulting in scar tissue, predisposing to recurrence. In search of more effective therapies and tissue regeneration, studies have been carried out with blood derivatives - platelet rich plasma and autologous conditioned serum. In spite of both being blood-derived therapies, platelet rich plasma and autologous conditioned serum are distinct products, with equally distinct indications for their use. Platelet rich plasma shows promising results in ligament and tendon injuries in clinical and experimental trials. This occurs also in osteoarticular lesions with both hemoderivates, autologous conditioned serum and platelet rich plasma. This review aims to present clinical and experimental studies (in vivo and in vitro) in the equine species, as an aid for an appropriate therapeutic choice, when hemoderivates are considered for treatment of musculoskeletal lesions.

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This is a quantitative study conducted at the Outpatient Clinic of the Geriatrics and Gerontology Academic League of Botucatu School of Medicine. It aimed at learning about the profile of elderly patients and their level of disability in relation to basic activities of daily living. Based on this information, nursing diagnoses for the population under study were made, and the most frequent diagnosed were selected with the purpose of composing a stage of the instrument for nursing consultation in geriatric. It was found that the disabled elderly patients were predominantly females and widowed. They had a mean age of 81 years and had completed the first 4 grades of elementary school. Chronic pain related to physical disability and impaired ambulation related to the presence of osteoarticular diseases are examples of the most common diagnoses in the studied population. It is important that geriatric nurses implement Nursing Care Systematization based on the knowledge of the population to which they attend by considering the level of disability of elderly patients with respect to basic activities of daily living, so that full and individualized care can be provided and the patients’ remaining autonomy can be preserved.

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Determining the groups that are most susceptible to developing disability is essential to establishing effective prevention and rehabilitation strategies. The aim of the present study was to determine gender differences in the incidence of disability regarding activities of daily living (ADL) and determinants among elderly residents of Sao Paulo, Brazil. In 2000, 1634 elderly with no difficulties regarding ADL (modified Katz Index) were selected. These activities were reassessed in 2006 and disability was the outcome for the analysis of determinants. The following characteristics were analyzed at baseline: sociodemographic, behavioral, health status, medications, falls, hospitalizations, depressive symptoms, cognition, handgrip, mobility and balance. The incidence density was 42.4/1000 women/year and 17.5/1000 men/year. After adjusting for socioeconomic status and health conditions, women with chronic diseases and social vulnerability continued to have a greater incidence of disability. The following were determinants of the incidence of disability: age and depressive symptoms in both genders; stroke and slowness on the sit-and-stand test among men; and osteoarthritis and sedentary lifestyle among women. Better cognitive performance and handgrip strength were protective factors among men and women, respectively. Adverse clinical and social conditions determine differences between genders regarding the incidence of disability. Decreased mobility and balance and health conditions that affect the central nervous system or lead to impaired cognition disable men more, whereas a sedentary lifestyle, reduction in muscle strength and conditions that affect the osteoarticular system disable women more. (C) 2012 Elsevier Ireland Ltd. All rights reserved.

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The aim of this paper is to present some reflections on possibilities to investigate everyday life by examining ways of life, so as to broaden perspectives to the field of research in public health, in light of the fact that the study of daily ways of life involves the analysis of trajectories that contextualize routines, interactions and meanings of life. This allows the social researcher in the health field to have, based on a theoretical framework, a flexible methodology that offers mobility in the choice of the technique that best favors the understanding of the issue to be investigated. We have here, as a conceptual reference, the idea of everyday life investigated from interactive processes and contexts, as opposed to a categorial objectification between subject and object. In this context, from the theoretical reflection, we take, as the research's empirical reference, the waiting room of the outpatient clinic of the Osteoarticular Metabolism Department of a Health Care Unit in the city of Fortaleza/, Northeastern Brazil, in order to foster an interpretive understanding of the daily routine that involves the life and health situations of women with osteoporosis.

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Objective. To analyze survival, prognostic factors, and causes of death in a large cohort of patients with systemic sclerosis (SSc). Methods. From 1991 to 2010, 947 patients with SSc were treated at 2 referral university centers in Brazil. Causes of death were considered SSc-related and non-SSc-related. Multiple logistic regression analysis was used to identify prognostic factors. Survival at 5 and 10 years was estimated using the Kaplan-Meier method. Results. One hundred sixty-eight patients died during the followup. Among the 110 deaths considered related to SSc, there was predominance of lung (48.1%) and heart (24.5%) involvement. Most of the 58 deaths not related to SSc were caused by infection, cardiovascular or cerebrovascular disease, and cancer. Male sex, modified Rodnan skin score (mRSS) > 20, osteoarticular involvement, lung involvement, and renal crisis were the main prognostic factors associated to death. Overall survival rate was 90% for 5 years and 84% for 10 years. Patients presented worse prognosis if they had diffuse SSc (85% vs 92% at 5 yrs, respectively, and 77% vs 87% at 10 yrs, compared to limited SSc), male sex (77% vs 90% at 5 yrs and 64% vs 86% at 10 yrs, compared to female sex), and mRSS > 20 (83% vs 90% at 5 yrs and 66% vs 86% at 10 yrs, compared to mRSS <20). Conclusion. Survival was worse in male patients with diffuse SSc, and lung and heart involvement represented the main causes of death in this South American series of patients with SSc. (First Release Aug 15 2012; J Rheumatol 2012;39:1971-8; doi:10.3899/jrheum.111582)

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O objetivo deste artigo é apresentar algumas reflexões acerca das possibilidades investigativas do cotidiano através da análise dos modos de vida, que ampliem perspectivas ao campo de pesquisa em saúde pública, considerando que o estudo dos modos de vida no cotidiano envolve a análise das trajetórias que contextualizam rotinas, interações e significados de vida. Isso possibilita ao pesquisador social do campo da saúde, a partir de um enquadre teórico, uma flexibilização metodológica que oferece mobilidade na escolha da técnica que melhor favoreça o entendimento da questão a ser investigada. Tem-se aqui, como referência conceitual, a ideia de um cotidiano investigado a partir de processos e contextos interativos, em oposição a uma objetivação categorial entre sujeito e objeto. Nesse contexto, partindo da reflexão teórica, toma-se como referencial empírico da pesquisa, a sala de espera do ambulatório do Serviço de Metabolismo Osteoarticular de um Posto de Saúde na cidade de Fortaleza/CE, no intuito de tornar possível uma compreensão interpretativa do cotidiano que envolve as situações de vida e de saúde de mulheres com osteoporose.

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Osteoarticular allograft is one possible treatment in wide surgical resections with large defects. Performing best osteoarticular allograft selection is of great relevance for optimal exploitation of the bone databank, good surgery outcome and patient’s recovery. Current approaches are, however, very time consuming hindering these points in practice. We present a validation study of a software able to perform automatic bone measurements used to automatically assess the distal femur sizes across a databank. 170 distal femur surfaces were reconstructed from CT data and measured manually using a size measure protocol taking into account the transepicondyler distance (A), anterior-posterior distance in medial condyle (B) and anterior-posterior distance in lateral condyle (C). Intra- and inter-observer studies were conducted and regarded as ground truth measurements. Manual and automatic measures were compared. For the automatic measurements, the correlation coefficients between observer one and automatic method, were of 0.99 for A measure and 0.96 for B and C measures. The average time needed to perform the measurements was of 16 h for both manual measurements, and of 3 min for the automatic method. Results demonstrate the high reliability and, most importantly, high repeatability of the proposed approach, and considerable speed-up on the planning.

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Osteoarticular allograft transplantation is a popular treatment method in wide surgical resections with large defects. For this reason hospitals are building bone data banks. Performing the optimal allograft selection on bone banks is crucial to the surgical outcome and patient recovery. However, current approaches are very time consuming hindering an efficient selection. We present an automatic method based on registration of femur bones to overcome this limitation. We introduce a new regularization term for the log-domain demons algorithm. This term replaces the standard Gaussian smoothing with a femur specific polyaffine model. The polyaffine femur model is constructed with two affine (femoral head and condyles) and one rigid (shaft) transformation. Our main contribution in this paper is to show that the demons algorithm can be improved in specific cases with an appropriate model. We are not trying to find the most optimal polyaffine model of the femur, but the simplest model with a minimal number of parameters. There is no need to optimize for different number of regions, boundaries and choice of weights, since this fine tuning will be done automatically by a final demons relaxation step with Gaussian smoothing. The newly developed synthesis approach provides a clear anatomically motivated modeling contribution through the specific three component transformation model, and clearly shows a performance improvement (in terms of anatomical meaningful correspondences) on 146 CT images of femurs compared to a standard multiresolution demons. In addition, this simple model improves the robustness of the demons while preserving its accuracy. The ground truth are manual measurements performed by medical experts.