Xiong Qian, Lu Bing, Ye Hongying, Wu Xia, Zhang Tiansong, Li Yiming
Department of Endocrinology, Jing'an District Central Hospital (Fudan University Affiliated Huashan Hospital Jing'an Branch), Shanghai, China.
Eur Neurol. 2015;74(5-6):323-7. doi: 10.1159/000441449. Epub 2015 Dec 19.
This study aims to evaluate the diagnostic capabilities of neuropathy symptom and change (NSC) score, neuropathy impairment score (NIS) and Michigan neuropathy screening instrument (MNSI) in diagnosing diabetic peripheral neuropathy (DPN).
A total of 131 patients with type II diabetes received NSC, NIS and MNSI scoring systems. Electromyography/nerve conduction velocity (EMG/NCV) test was taken as gold standard. Correlations between EMG/NCV test and the 3 scorings, and their sensitivity, specificity, positive and negative predictive values, accuracy and kappa (x03BA;) value were analyzed.
The prevalence of DPN was 43.5% according to EMG/NCV findings. EMG/NCV test was significantly positive correlated with all the 3 scorings, highest with NIS scoring (r = 0.653, p < 0.001). Compared with EMG/NCV test, NSC score was most sensitive (85.96%) but least specific (77.03%); NIS score had lower sensitivity (59.65%) but best specificity (98.65%) and accuracy (81.68%). Both had high concordance with EMG/NCV test (x03BA; = 0.61). Sensitivity, specificity and accuracy of MNSI were highest (70.18, 98.65 and 80.15%) at the cutoff values of >1.0, >2.5 and >1.5, respectively (x03BA; = 0.58).
Both NSC and NIS were accurate and reliable diagnostic methods for DPN. The combined application of NSC and NIS was recommended in DPN diagnosis.
本研究旨在评估神经病变症状与变化(NSC)评分、神经病变损害评分(NIS)和密歇根神经病变筛查工具(MNSI)在诊断糖尿病性周围神经病变(DPN)方面的诊断能力。
共有131例2型糖尿病患者接受了NSC、NIS和MNSI评分系统评估。肌电图/神经传导速度(EMG/NCV)检查被视为金标准。分析了EMG/NCV检查与这三种评分之间的相关性,以及它们的敏感性、特异性、阳性和阴性预测值、准确性和kappa(κ)值。
根据EMG/NCV检查结果,DPN的患病率为43.5%。EMG/NCV检查与所有三种评分均呈显著正相关,与NIS评分的相关性最高(r = 0.653,p < 0.001)。与EMG/NCV检查相比,NSC评分最敏感(85.96%)但特异性最低(77.03%);NIS评分敏感性较低(59.65%)但特异性最佳(98.65%)和准确性最高(81.68%)。两者与EMG/NCV检查的一致性都很高(κ = 0.61)。MNSI在截断值分别>1.0、>2.5和>1.5时,敏感性、特异性和准确性最高(分别为70.18%、98.65%和80.15%)(κ = 0.58)。
NSC和NIS都是诊断DPN的准确可靠方法。建议在DPN诊断中联合应用NSC和NIS。