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Muscle Nerve. 2011 Sep;44(3):340-5. doi: 10.1002/mus.22074.

Modeling nerve conduction criteria for diagnosis of diabetic polyneuropathy.

Author information

1
Peripheral Neuropathy Research Laboratory, Department of Neurology Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. dyck.peter@mayo.edu

Abstract

INTRODUCTION:

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.

PMID:
21996793
PMCID:
PMC3193597
DOI:
10.1002/mus.22074
[Indexed for MEDLINE]
Free PMC Article

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