912 resultados para ENFERMEDAD DE PARKINSON -DIAGNOSTICO - INVESTIGACIONES
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OBJETIVO: investigar a pré-fragilidade e os fatores associados a essa condição, considerando as medidas de velocidade da marcha dos idosos. MÉTODO: a seleção dos participantes ocorreu por meio de critérios de inclusão/exclusão e teste de rastreamento cognitivo. A amostra foi calculada com base na estimativa da proporção populacional e constituída por 195 idosos, usuários de uma Unidade Básica de Saúde de Curitiba, PR. Os dados foram coletados mediante questionário sociodemográfico/clínico e teste de velocidade da marcha. RESULTADOS: a pré-fragilidade para velocidade da marcha possui moderada prevalência (27,3%) e associou-se à faixa etária entre 60 e 69 anos, baixa escolaridade, não se sentir solitário, utilizar anti-hipertensivo, apresentar doença cardiovascular e sobrepeso. CONCLUSÃO: considera-se relevante identificar os idosos na condição de pré-fragilidade, pois, dessa maneira, existe a possibilidade de intervenção imediata com a finalidade de estacionamento do quadro. É significativo o déficit de estudos sobre a síndrome da fragilidade em idosos brasileiros, principalmente aqueles que se referem a um componente isolado. Visto que a enfermagem gerontológica se encontra nos primeiros passos referentes à temática, entende-se que a identificação da prevalência deve ser o ponto primordial das pesquisas sobre o tema.
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Objective: To evaluate the maximum residual signal auto-correlation also known as pitch amplitude (PA) values in patients with Parkinson's disease (PD) patients. Method. The signals of 21 Parkinson's patients were compared with 15 healthy individuals, divided according age and gender. Results: Statistical difference was seen between groups for PA, 0.39 for controls and 0.25 for PD. Normal value threshold was set as 0.3; (p <= 0.001). In the Parkinson's group 80.77%, and in the control group only 12.28%, had a PA < 0.3 demonstrating an association between these variables. The dispersion diagram for age and PA for PD individuals showed p=0.01 and r=0.54. There was no significant difference in relation to gender and PA between groups: Conclusion: the significant differences in pitch's amplitude between PD patients and healthy individuals demonstrate the methods specificity.-The results showed the need of prospective controlled studies,to improve the use and indications of residual signal auto-correlation to evaluate speech in PD patients.
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There may be an interaction between periodontal disease and sonic systemic diseases such as diabetes mellitus The objective of this review was to verify by means of a review of clinical trials if is a positive association between periodontal disease and the glycerine control of type 2 diabetes mellitus (DM 2) patients Eleven articles that fit the study criteria were revised It was concluded that periodontal disease may influence the metabolic control of 2 Additional studies with larger sample sizes and longer follow up are necessary for a better clarification of this issue (Rev Med Chile 2010 138 1172 1178)
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Background: Impairment in non-motor functions such as disturbances of some executive functions are also common events in Parkinson's disease patients. Objective: To verify the performance of Parkinson's disease patients in activities requiring visuoconstructive and visuospatial skills. Method: Thirty elderly patients with mild or moderate stages of Parkinson's disease were studied. The assessment of the clinical condition was based on the unified Parkinson's disease rating scale (56.28; SD=33.48), Hoehn and Yahr (2.2; SD=0.83), Schwab and England (78.93%), clock drawing test (7.36; SD=2.51), and mini-mental state examination (26.48; SD=10.11). Pearson's correlation and stepwise multiple regression were used for statistical analyses. Results: The patients presented deterioration in visuospatial and visuoconstructive skills. Conclusion: The clock drawing test proved to be a useful predictive tool for identifying early cognitive impairment in these individuals.
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Alzheimer's dementia (AD) is a neurodegenerative disorder that causes motor and cognitive decline. The aim of this study was to analyze the influence of a specific physical activity program on the cognitive, depressive symptoms and functional capacity of patients with diagnosis of probable AD. The subject, a 79-year old woman, participated in this program for three months, with 50 min sessions three times a week. The instruments used were the Cambridge Cognitive Examination; the Geriatric Depression Scale; and the Battery of the American Alliance for Health Physical Education, Recreation and Dance. The results in relationship with the depressive symptoms and functional capacity were significantly positive. There were no changes in regards to the patient's cognitive functions. In conclusion, this physical activity program seems to be an important part of the treatment for patients with AD, as it improves the functional capacity and also stimulates cognitive tasks. © 2008 Asociación Española de Fisioterapeutas.
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Compromised balance and loss of mobility are among the major consequences of Parkinson's disease (PD). The literature documents numerous effective interventions for improving balance and mobility. The purpose of this study was to verify the effectiveness of two exercise programs on balance and mobility in people with idiopathic PD. Thirty-four participants, with idiopathic PD that ranged from Stage I to Stage III on the Hoehn & Yahr (H&Y) scale, were assigned to two groups. Group 1 (n = 21; 67±9 years old) was engaged in an intensive exercise program (aerobic capacity, flexibility, strength, motor coordination and balance) for 6 months: 72 sessions, 3 times a week, 60 minutes per session; while Group 2 (n = 13; 69±8 years old) participated in an adaptive program (flexibility, strength, motor coordination and balance) for 6 months: 24 sessions, once a week, 60 minutes per session. Balance and basic functional mobility were assessed in pre- and post-tests by means of the Berg Balance Scale and the Timed Up and Go Test. Before and after the interventions, groups were similar in clinical conditions (H&Y, UPDRS, and Mini-Mental). A MANOVA 2 (programs) by 2 (moments) revealed that both groups were affected by the exercise intervention. Univariate analyses showed that participants improved their mobility and balance from pre- to post-test. There were no differences between groups in either mobility or balance results. Both the intensive and adaptive exercise programs improved balance and mobility in patients with PD. © 2009 Elsevier Ltd. All rights reserved.
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BACKGROUND AND OBJECTIVES: Myotonic dystrophies are autosomal dominant neuromuscular diseases. Among them, myotonic dystrophy type 1 (MD1), or Steinert disease, is the most common in adults, and besides muscular involvement it also has important systemic manifestations. Myotonic dystrophy type 1 poses a challenge to the anesthesiologist. Those patients are more sensitive to anesthetics and prone to cardiac and pulmonary complications. Besides, the possibility of developing malignant hyperthermia and myotonic episodes is also present. CASE REPORT: This is a 39-year old patient with DM1 who underwent general anesthesia for videolaparoscopic cholecystectomy. Total intravenous anesthesia with propofol, remifentanil, and rocuronium was the technique chosen. Intercurrences were not observed in the 90-minute surgical procedure, but after extubation, the patient developed respiratory failure and myotonia, which made tracheal intubation impossible. A laryngeal mask was used, allowing adequate oxygenation, and mechanical ventilation was maintained until full recovery of the respiratory function. The patient did not develop further complications. CONCLUSIONS: Myotonic dystrophy type 1 presents several particularities to the anesthesiologist. Detailed knowledge of its systemic involvement along with the differentiated action of anesthetic drugs in those patients will provide safer anesthetic-surgical procedure.
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Artificial intelligence techniques have been extensively used for the identification of several disorders related with the voice signal analysis, such as Parkinson's disease (PD). However, some of these techniques flaw by assuming some separability in the original feature space or even so in the one induced by a kernel mapping. In this paper we propose the PD automatic recognition by means of Optimum-Path Forest (OPF), which is a new recently developed pattern recognition technique that does not assume any shape/separability of the classes/feature space. The experiments showed that OPF outperformed Support Vector Machines, Artificial Neural Networks and other commonly used supervised classification techniques for PD identification. © 2010 IEEE.
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