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首页> 外文期刊>Journal of geriatric psychiatry and neurology >Predicting lewy body pathology in a community-based sample with clinical diagnosis of Alzheimer's disease.
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Predicting lewy body pathology in a community-based sample with clinical diagnosis of Alzheimer's disease.

机译：预测以社区为基础的样本中的路易体病理，并诊断为阿尔茨海默氏病。

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Accurate antemortem prediction of Lewy body pathology in patients with dementia is problematic. This study generates a model that better predicts Lewy body pathology in community-based patients with clinical Alzheimer's disease. Lewy body pathology was detected in 80 of 152 participants (52.6%) with an initial diagnosis of probable Alzheimer's disease. In a stepwise logistic regression model, female gender, lower education, being married, bradykinesia, hallucinations, and absence of irritability predicted the greatest likelihood of Lewy body pathology. The predictive model correctly diagnosed Lewy body pathology with an estimated sensitivity of 75%, specificity of 68%, and accuracy of 72%; the area under the receiver operating characteristic curve was 0.75. In a community-based autopsy sample, this predictive model confirmed parkinsonism and hallucinations as important predictors of Lewy body pathology in patients with clinical Alzheimer's disease. The model also identified other demographic and clinical characteristics that might enhance the prediction of Lewy body pathology.
机译：痴呆患者路易体病理的准确事前预测是有问题的。这项研究生成的模型可以更好地预测以社区为基础的临床阿尔茨海默氏病患者的路易体病理学。 152名参与者中有80名（52.6％）检测到了路易体病理，初步诊断出可能患有阿尔茨海默氏病。在逐步逻辑回归模型中，女性，受教育程度低，已婚，运动迟缓，幻觉和无烦躁情绪的人预测路易体病的可能性最大。该预测模型正确估计了路易氏体病理，估计灵敏度为75％，特异性为68％，准确度为72％;接收器工作特性曲线下的面积为0.75。在基于社区的尸检样本中，该预测模型证实帕金森氏症和幻觉是临床阿尔茨海默氏病患者路易体病理学的重要预测因子。该模型还确定了可能增强路易体病理学预测的其他人口统计学和临床​​特征。

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