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Modeling nerve conduction criteria for diagnosis of diabetic polyneuropathy
Author(s) -
Dyck Peter J.,
Carter Rickey E.,
Litchy William J.
Publication year - 2011
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.22074
Subject(s) - medicine , sural nerve , percentile , abnormality , polyneuropathy , diabetes mellitus , ulnar nerve , nerve conduction velocity , nerve conduction , physical medicine and rehabilitation , motor nerve , diabetic neuropathy , surgery , physical therapy , anatomy , elbow , statistics , mathematics , psychiatry , endocrinology
In this study we aimed to determine which criteria are valid for nerve conduction (NC) diagnosis of typical diabetic sensorimotor polyneuropathy (DSPN).Methods:Eight criteria were assessed from among diabetes databases, the Rochester Diabetic Neuropathy Study (RDNS, N = 456), and in healthy subjects (RDNS‐HS, N = 330).Results:In the RDNS, the most frequent abnormal attributes (≤2.5th/≥97.5th percentile) are: fibular motor nerve conduction velocity (MNCV; 26.3%); sural sensory nerve conduction velocity (SNAP; 25.4%); tibial MNCV (24.8%); ulnar MNCV (21.3%); fibular F latency (16.9%); and ulnar F latency (16.0%). Normal deviate (from percentiles) composite scores of NC included: representative of neurophysiological abnormalities; sensitive and specific for diagnosis and useful for epidemiological surveys; randomized trials; and medical practice. By contrast, abnormality of one or more attributes in any nerve or abnormally of two most sensitive attributes performed poorly.Conclusions:Composite sum scores of normal deviates (from percentiles corrected for applicable variables) of sensitive NC attributes and with modifications, RDNS and AAN criteria performed acceptably for diagnosis of DSPN. Muscle Nerve 44: 340–345, 2011