Ramakrishnan A G, Srinivasan T M
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.
Int J Lepr Other Mycobact Dis. 1995 Sep;63(3):395-408.
Sensory nerve action potentials (SNAPs) and compound nerve action potentials (CNAPs) were recorded from 25 normal subjects and 21 hanseniasis patients following electrical stimulation of the median nerve at the wrist. The various nerve conduction parameters from the affected nerves of the patients were compared with those from the clinically normal nerves of patients as well as data from healthy individuals. Analysis of the data and clinical correlation studies indicate the suitability of amplitudes of the SNAPs and CNAPs rather than the nerve conduction velocities in better characterizing the neuropathy of the patients. Significantly reduced amplitudes of responses from clinically unaffected nerves of patients indicate an early stage of neuropathy, thus being of predictive value. Further, a discriminant classifier, trained on data from clinically affected nerves of patients, classified most of the data from clinically unaffected nerves of patients as abnormal. This indicates that clinical neurophysiological studies can reveal leprous neuropathy much before it becomes clinically evident by means of sensory or motor loss. A discriminant score involving only the parameters of motor threshold, amplitude of digit potential and palm nerve conduction velocity is able to classify almost all of the normal and abnormal responses. The authors hope that further confirmative studies might ultimately lead to the use of the study of distal sensory conduction in the upper limbs in possible screening of a population exposed to Mycobacterium leprae. On the other hand, misclassification of a normal person occurred and suggests that further refinement of the methods is necessary in order to facilitate wider use of the methods under field conditions.
在对25名正常受试者和21名麻风病患者的腕部正中神经进行电刺激后,记录了感觉神经动作电位(SNAPs)和复合神经动作电位(CNAPs)。将患者受影响神经的各种神经传导参数与患者临床正常神经的参数以及健康个体的数据进行了比较。数据分析和临床相关性研究表明,SNAPs和CNAPs的波幅比神经传导速度更适合于更好地表征患者的神经病变。患者临床未受影响神经的反应波幅显著降低表明神经病变处于早期阶段,因此具有预测价值。此外,基于患者临床受影响神经的数据训练的判别分类器,将患者临床未受影响神经的大多数数据分类为异常。这表明临床神经生理学研究能够在麻风性神经病变通过感觉或运动丧失在临床上变得明显之前很久就揭示出来。一个仅涉及运动阈值、指电位波幅和掌神经传导速度参数的判别分数能够对几乎所有正常和异常反应进行分类。作者希望进一步的验证性研究最终可能导致在上肢远端感觉传导研究用于对接触麻风分枝杆菌的人群进行可能的筛查。另一方面,出现了对正常人的错误分类,这表明有必要进一步完善这些方法,以便在现场条件下更广泛地应用这些方法。