Optimal cut‐off value of the modified Toronto Clinical Neuropathy Score in the diagnosis of polyneuropathy

Author:

Idiaquez Juan Francisco1ORCID,Alcantara Monica1ORCID,Bril Vera1ORCID

Affiliation:

1. Ellen and Martin Prosserman Centre for Neuromuscular Diseases, Division of Neurology, Department of Medicine, University Health Network University of Toronto Toronto Ontario Canada

Abstract

AbstractBackground and purposeThe modified Toronto Clinical Neuropathy Score (mTCNS) is a valid and reliable scale for the diagnosis and staging of diabetic sensorimotor polyneuropathy (DSP). The aim of this study was to determine the optimal diagnostic cut‐off value of the mTCNS in diverse polyneuropathies (PNPs).MethodsDemographics and mTCNS values were retrospectively extracted from an electronic database of 190 patients with PNP and 20 normal controls. Sensitivity, specificity, and likelihood ratios and area under the receiver‐operating characteristic (ROC) curve were determined for each diagnosis and different cut‐off values of the mTCNS. Patients underwent clinical, electrophysiological and functional assessments of their PNP.ResultsForty‐three percent of PNP was related to diabetes or impaired glucose tolerance. mTCNS was significantly higher in patients with PNP than in those without (15.27 ± 8 vs. 0.79 ± 1.4; p = 0.001). The cut‐off value for diagnosing PNP was ≥3 (sensitivity 98.4%, specificity 85.7%, positive likelihood ratio 6.88). The area under the ROC curve was 0.987.ConclusionA value of 3 or more on the mTCNS is recommended for the diagnosis of PNP.

Publisher

Wiley

Subject

Neurology (clinical),Neurology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3