Evaluation of multiple sclerosis diagnostic criteria in Suzhou, China - risk of under-diagnosis in a low prevalence area
Evaluation of multiple sclerosis diagnostic criteria in Suzhou, China - risk of under-diagnosis in a low prevalence area
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DOI：
10.1111/j.1600-0404.2009.01276.x
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发表时间：
2010-01-01
影响因子：
3.5
通讯作者：
Fredrikson, S.
中科院分区：
文献类型：
--
作者：
Cheng, X. -J.;Cheng, Q.;Fredrikson, S.
目的-评估在中枢神经系统（CNS）脱髓鞘疾病的出院诊断和分析的预测价值的新的诊断标准在Suzhou，China.Materials和方法-我们收集的临床信息和实验室检查的所有情况下，诊断各种脱髓鞘疾病的CNS数据。所有的数据进行了审查，分别由四名高级神经科医生，并最终给予诊断，根据McDonald标准和Poser标准多发性硬化症（MS）。结果-在分析中，176例患者的诊断脱髓鞘疾病在中枢神经系统出院。在出院时诊断为MS的82例患者中，根据McDonald MS诊断标准，74例患者确诊MS，出院诊断MS的阳性预测值为90.2%（74/82）。根据Poser标准，61例患者被诊断为MS。MS的两个诊断标准的一致性为78.4%，根据结果的evaluation.Conclusions -MS的诊断不足可能是MS在中国的低患病率的解释之一。与Poser标准相比，McDonald标准对MS的诊断敏感性更高。
Objective -To evaluate the discharge diagnosis of demyelinating diseases in the central nervous system (CNS) and analyze the predictive value of the new diagnostic criteria in Suzhou, China.Materials and methods -We collected clinical information and data of laboratory examinations for all cases with a diagnosis of various demyelinating diseases in the CNS. All data were reviewed individually by four senior neurologists, and a diagnosis was finally given to each patient according to the McDonald criteria and the Poser criteria for multiple sclerosis (MS).Results -In the analysis, 176 patients with a diagnosis of demyelinating diseases in the CNS at discharge were included. In 82 patients with a diagnosis of MS at discharge, the MS diagnosis was confirmed for 74 patients according to the McDonald criteria for MS, and the positive predictive value for the discharge diagnosis of MS was 90.2% (74/82). According to the Poser criteria, 61 patients were diagnosed as MS. The consistency of the two diagnostic criteria for MS was 78.4%, based on the results of the evaluation.Conclusions -Under-diagnosis of MS could be one of the explanations for the low prevalence of MS in China. Compared to the Poser criteria, the McDonald criteria had a higher sensitivity for the diagnosis of MS.