Park Joong Hyun, Won Jong Chul
Department of Neurology, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea.
Department of Internal Medicine, Inje University Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea.
Diabetes Metab J. 2018 Dec;42(6):519-528. doi: 10.4093/dmj.2018.0068. Epub 2018 Oct 24.
Clinical manifestations of diabetic peripheral neuropathy (DPN) vary along the course of nerve damage. Nerve conduction studies (NCS) have been suggested as a way to confirm diagnoses of DPN, but the results have limited utility for evaluating clinical phenotypes. The current perception threshold (CPT) is a complementary method for diagnosing DPN and assessing DPN symptoms. We compared NCS variables according to clinical phenotypes determined by CPT measurements.
We retrospectively enrolled patients with type 2 diabetes mellitus who underwent both NCS and CPT tests using a neurometer. CPT grades were used to determine the clinical phenotypes of DPN: normoesthesia (0 to 1.66), hyperesthesia (1.67 to 6.62), and hypoesthesia/anesthesia (6.63 to 12.0). The Michigan Neuropathy Screening Instrument (MNSI) was used to determine a subjective symptom score. DPN was diagnosed based on both patient symptoms (MNSI score ≥3) and abnormal NCS results.
A total of 202 patients (117 men and 85 women) were included in the final analysis. The average age was 62.6 years, and 71 patients (35.1%) were diagnosed with DPN. The CPT variables correlated with MNSI scores and NCS variables in patients with diabetes. Linear regression analyses indicated that hypoesthesia was associated with significantly lower summed velocities and sural amplitudes and velocities, and higher summed latencies, than normoesthesia. Sural amplitude was significantly lower in patients with hyperesthesia than in patients with normoesthesia.
NCS variables differed among patients with diabetes according to clinical phenotypes based on CPT and decreased sural nerve velocities was associated with hyperesthesia.
糖尿病性周围神经病变(DPN)的临床表现会随着神经损伤的进程而有所不同。神经传导研究(NCS)被认为是确诊DPN的一种方法,但该结果在评估临床表型方面的作用有限。当前感觉阈值(CPT)是诊断DPN和评估DPN症状的一种补充方法。我们根据CPT测量确定的临床表型比较了NCS变量。
我们回顾性纳入了接受NCS和使用神经仪进行CPT测试的2型糖尿病患者。CPT分级用于确定DPN的临床表型:感觉正常(0至1.66)、感觉过敏(1.67至6.62)和感觉减退/感觉缺失(6.63至12.0)。使用密歇根神经病变筛查工具(MNSI)确定主观症状评分。基于患者症状(MNSI评分≥3)和异常的NCS结果诊断DPN。
最终分析纳入了202例患者(117例男性和85例女性)。平均年龄为62.6岁,71例患者(35.1%)被诊断为DPN。糖尿病患者的CPT变量与MNSI评分和NCS变量相关。线性回归分析表明,与感觉正常相比,感觉减退与总和速度、腓肠神经波幅和速度显著降低以及总和潜伏期延长有关。感觉过敏患者的腓肠神经波幅明显低于感觉正常患者。
根据基于CPT的临床表型,糖尿病患者的NCS变量存在差异,腓肠神经速度降低与感觉过敏有关。