Ramanathan Saraswathi, Thomas Raji, Chanu Asem Rangita, Naik Dukhabandu, Jebasingh Felix, Sivadasan Ajit, Thomas Nihal
Department of Physical Medicine and Rehabilitation, Christian Medical College, Vellore, Tamil Nadu, India.
Department of Physical Medicine and Rehabilitation, All India Institute of Medical Sciences, New Delhi, India.
Indian J Endocrinol Metab. 2021 Nov-Dec;25(6):509-515. doi: 10.4103/ijem.ijem_426_21. Epub 2022 Feb 17.
The measuring tools used for assessment of neuropathy include various questionnaires, monofilament testing, Biothesiometry and the gold standard test, nerve conduction studies (NCS). This study aims to evaluate the diagnostic accuracies of Michigan Neuropathy Screening Instrument (MNSI), Biothesiometry, Semmes Weinstein Monofilament (SWMF), Sural Radial Amplitude Ratio (SRAR) and minimal F wave latency as compared to conventional NCS and arrive at a simple diagnostic algorithm for early detection of Diabetic Peripheral Neuropathy (DPN).
In a cross-sectional observational study on 48 Type 2 diabetes mellitus patients, MNSI, Biothesiometry, SWMF and NCS including F waves and SRAR were done and diagnostic accuracies (sensitivity, specificity, positive and negative predictive values) calculated taking NCS as gold standard.
MNSI, Biothesiometry, SWMF, SRAR and minimal F wave latency had a sensitivity of 64.3%, 78.6%, 14.3%, 100% and 78.6% and specificity of 67.7%, 52.9%, 94.1%, 23.53% and 76.47% respectively, with reference to NCS. Based on combined sensitivities and specificities, we arrived at a simple algorithm for early diagnosis of DPN, which showed that DPN could either be diagnosed or ruled out in 75% of the patients by a combination of the Biothesiometry, SRAR and left lower limb minimal F wave latency results.
In the setting of an outpatient, multidisciplinary diabetic clinic, simple tests such as questionnaires, monofilament testing and biosthesiometer could be performed with greater ease while considering NCS as the gold standard. This algorithm, combining Biothesiometry, SRAR and left lower limb minimal F wave latency would be less time consuming and help in early diagnosis of DPN.
用于评估神经病变的测量工具包括各种问卷、单丝测试、生物感觉定量法以及金标准测试——神经传导研究(NCS)。本研究旨在评估密歇根神经病变筛查工具(MNSI)、生物感觉定量法、Semmes Weinstein单丝(SWMF)、腓肠神经 - 桡神经振幅比(SRAR)和最小F波潜伏期与传统NCS相比的诊断准确性,并得出一种用于早期检测糖尿病周围神经病变(DPN)的简单诊断算法。
在一项对48例2型糖尿病患者的横断面观察研究中,进行了MNSI、生物感觉定量法、SWMF以及包括F波和SRAR的NCS检查,并以NCS作为金标准计算诊断准确性(敏感性、特异性、阳性和阴性预测值)。
相对于NCS,MNSI、生物感觉定量法、SWMF、SRAR和最小F波潜伏期的敏感性分别为64.3%、78.6%、14.3%、100%和78.6%,特异性分别为67.7%、52.9%、94.1%、23.53%和76.47%。基于综合敏感性和特异性,我们得出了一种用于DPN早期诊断的简单算法,该算法表明,通过结合生物感觉定量法、SRAR和左下肢最小F波潜伏期结果,75%的患者可以被诊断或排除DPN。
在门诊多学科糖尿病诊所的环境中,在将NCS视为金标准的同时,诸如问卷、单丝测试和生物感觉测量仪等简单测试可以更轻松地进行。这种结合生物感觉定量法、SRAR和左下肢最小F波潜伏期的算法将更省时,并有助于DPN的早期诊断。