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首页> 外文期刊>Journal of Clinical Microbiology >Decision Support Tools for Clinical Diagnosis of Disease in Cows with Suspected Bovine Spongiform Encephalopathy
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Decision Support Tools for Clinical Diagnosis of Disease in Cows with Suspected Bovine Spongiform Encephalopathy

机译:牛海绵状脑病疑似疾病的临床诊断决策支持工具

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Reporting of clinically suspected cattle is currently the most common method for detecting cases of bovine spongiform encephalopathy (BSE). Improvement of clinical diagnosis and decision-making remains crucial. A comparison of clinical patterns, consisting of 25 signs, was made between all 30 BSE cases, confirmed in Belgium before October 2002, and 272 suspected cases that were subsequently determined to be histologically, immunohistochemically, and scrapie-associated-fiber negative. Seasonality in reporting suspected cases was observed, with more cases being reported during wintertime when animals were kept indoors. The median duration of illness was 30 days. The 10 most relevant signs of BSE were kicking in the milking parlor, hypersensitivity to touch and/or sound, head shyness, panic-stricken response, reluctance to enter in the milking parlor, abnormal ear movement or carriage, increased alertness behavior, reduced milk yield, teeth grinding, and temperament change. Ataxia did not appear to be a specific sign of BSE. A classification and regression tree was constructed by using the following four features: age of the animal, year of birth, number of relevant BSE signs noted, and number of clinical signs, typical for listeriosis, noted. The model had a sensitivity of 100% and a specificity of 85%. This approach allows the use of an interactive decision-support tool, based entirely on odds ratios, a statistic independent of disease prevalence.
机译:报告可疑牛是目前最常见的检测牛海绵状脑病(BSE)病例的方法。改善临床诊断和决策仍然至关重要。在2002年10月之前在比利时确认的所有30例BSE病例与272例疑似病例进行了临床模式比较,包括25个体征,这些病例随后被确定为组织学,免疫组化和瘙痒病相关纤维阴性。在报告可疑病例中观察到季节性,在冬季将动物饲养在室内时报告更多病例。中位病程为30天。疯牛病的10个最相关的征兆是挤奶厅,对触摸和/或声音的超敏反应,头部羞怯,惊恐反应,不愿进入挤奶厅,异常的耳朵移动或移动,警觉行为增加,牛奶减少产量,牙齿打磨和气质变化。共济失调似乎不是BSE的特定体征。使用以下四个特征构建了分类和回归树:动物的年龄,出生年份,注意到的相关BSE体征数量以及典型的李斯特菌病的临床体征数量。该模型的敏感性为100%,特异性为85%。这种方法允许使用完全基于优势比的交互式决策支持工具,该统计信息与疾病患病率无关。

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