Molenaar D S, Vermeulen M, de Haan R
Department of Neurology, Academic Medical Center, University of Amsterdam, The Netherlands.
J Neurol Neurosurg Psychiatry. 1998 Jan;64(1):84-9. doi: 10.1136/jnnp.64.1.84.
To investigate the additional diagnostic value of sural nerve biopsy of 64 patients in whom chronic inflammatory demyelinating polyneuropathy (CIDP) was considered, as sural nerve biopsy is recommended in the research criteria of an ad hoc subcommittee to diagnose CIDP.
Firstly, the additional diagnostic value of sural nerve biopsy was analysed with multivariate logistic regression. Six clinical features (remitting course, symmetric sensorimotor neuropathy in arms and legs, areflexia, raised CSF protein concentration, nerve conduction studies consistent with demyelination, and absence of comorbidity or relevant laboratory abnormalities) were entered into a logistic model. Afterwards, all significant features identified from this model, as well as the results of sural nerve biopsy were forced into a second logistic model. Secondly, the diagnostic performance of a neurologist experienced in diagnosis of peripheral nerve disorders was studied by receiver operating characteristics (ROC) curve analysis.
The results of the first logistic analysis showed that CSF protein concentration >1 g/l (odds ratio (OR)=38.5) and neurophysiological studies consistent with demyelination (OR=51.7) were strong predictors of CIDP. When forcing the significant features and the sural nerve biopsy data into the model, an independent predictive value of sural nerve biopsy could not be found. The neurologist was able to discriminate patients with and without CIDP (area under the curve (AUC)=0.95). His diagnostic performance did not improve significantly by offering him the results of sural nerve biopsy.
Any additional diagnostic value of sural nerve biopsy in the diagnosis of CIDP could not be shown.
鉴于一个专门小组委员会诊断慢性炎症性脱髓鞘性多发性神经病(CIDP)的研究标准中推荐进行腓肠神经活检,本研究旨在调查64例疑似CIDP患者的腓肠神经活检的额外诊断价值。
首先,采用多因素逻辑回归分析腓肠神经活检的额外诊断价值。将六个临床特征(缓解病程、四肢对称性感觉运动神经病、无反射、脑脊液蛋白浓度升高、神经传导研究符合脱髓鞘改变以及无合并症或相关实验室异常)纳入逻辑模型。之后,将该模型中确定的所有显著特征以及腓肠神经活检结果纳入第二个逻辑模型。其次,通过受试者工作特征(ROC)曲线分析研究一位在周围神经疾病诊断方面经验丰富的神经科医生的诊断性能。
首次逻辑分析结果显示,脑脊液蛋白浓度>1 g/l(比值比(OR)=38.5)和神经生理学研究符合脱髓鞘改变(OR=51.7)是CIDP的强预测指标。当将显著特征和腓肠神经活检数据纳入模型时,未发现腓肠神经活检的独立预测价值。该神经科医生能够区分CIDP患者和非CIDP患者(曲线下面积(AUC)=0.95)。向他提供腓肠神经活检结果后,其诊断性能并未显著改善。
未显示腓肠神经活检在CIDP诊断中的任何额外诊断价值。