Neurology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Correspondence:
Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Correspondence are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Freeman, R.
Right arrow Articles by Risk, M. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Freeman, R.
Right arrow Articles by Risk, M. R.
Related Collections
Right arrow All Neuromuscular Disease
Right arrow Peripheral neuropathy

Neurology 2003;60:465-470
© 2003 American Academy of Neurology

Quantitative sensory testing cannot differentiate simulated sensory loss from sensory neuropathy

Roy Freeman, MD, Karen P. Chase, RN and Marcelo R. Risk, PhD

From the Center for Autonomic and Peripheral Nerve Disorders, Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.

Address correspondence and reprint requests to Dr. Roy Freeman, Beth Israel Deaconess Medical Center, Boston, MA 02215; e-mail: rfreeman{at}bidmc.harvard.edu

Objective: To differentiate the quantitative sensory testing (QST) results of subjects simulating small and large fiber sensory loss from those of normal subjects and subjects with sensory peripheral neuropathy.

Background: QST is used to measure sensory thresholds in clinical, epidemiologic, and research studies. It is not known whether there are objective test results that characterize the subject seeking to deceive the examiner.

Methods: The Computer Aided Sensory Examination IV 4, 2, and 1 stepping algorithm was used to determine vibration and cold perception in nine naïve subjects. Subjects were asked to simulate sensory loss (on two occasions) and to respond normally on one occasion. Test results were compared to those of subjects with diabetic sensory neuropathy. Each QST trial was performed three times.

Results: Reproducibility, measured by the intraclass correlation coefficient, was similar in all groups for the vibration perception test (simulation 1: 0.68 [95% CI 0.31, 0.91], simulation 2: 0.82 [95% CI 0.54, 0.95], normal response: 0.77 [95% CI 0.47, 0.94], and subjects with peripheral neuropathy: 0.76 [95% CI 0.18, 0.95]) and the cold perception test (simulation 1: 0.53 [95% CI 0.12, 0.85], simulation 2: 0.82 [95% CI 0.55, 0.95], normal subjects: 0.67 [95% CI 0.30, 0.90] and subjects with peripheral neuropathy: 0.88 [95% CI 0.57, 0.97]), all just noticeable difference units. There were no differences between performance characteristics in the two simulation trials. Responses to null stimuli did not differentiate between groups.

Conclusion: Test performance characteristics do not permit discrimination among subjects simulating sensory loss, subjects with normal responses, and subjects with peripheral neuropathy.




This article has been cited by other articles:


Home page
Am J EpidemiolHome page
Z. Fewell, G. Davey Smith, and J. A. C. Sterne
The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A Simulation Study
Am. J. Epidemiol., September 15, 2007; 166(6): 646 - 655.
[Abstract] [Full Text] [PDF]


Home page
NeurologyHome page
K. Orstavik, I. Norheim, and E. Jorum
Pain and small-fiber neuropathy in patients with hypothyroidism.
Neurology, September 12, 2006; 67(5): 786 - 791.
[Abstract] [Full Text] [PDF]


Home page
J. Neurol. Neurosurg. PsychiatryHome page
E A De Sousa, A P Hays, R L Chin, H W Sander, and T H Brannagan III
Characteristics of patients with sensory neuropathy diagnosed with abnormal small nerve fibres on skin biopsy.
J. Neurol. Neurosurg. Psychiatry, August 1, 2006; 77(8): 983 - 985.
[Abstract] [Full Text] [PDF]


Home page
Sci Aging Knowl EnvironHome page
E. Fink and A. L. Oaklander
Small-fiber neuropathy: answering the burning questions.
Sci. Aging Knowl. Environ., February 15, 2006; 2006(6): pe7 - pe7.
[Abstract] [Full Text]


Home page
Diabetes CareHome page
S. T.M. Krishnan and G. Rayman
The LDIflare: A novel test of C-fiber function demonstrates early neuropathy in type 2 diabetes
Diabetes Care, December 1, 2004; 27(12): 2930 - 2935.
[Abstract] [Full Text] [PDF]


Home page
NEJMHome page
A. A. Amato and A. L. Oaklander
Case 16-2004 - A 76-Year-Old Woman with Numbness and Pain in the Feet and Legs
N. Engl. J. Med., May 20, 2004; 350(21): 2181 - 2189.
[Full Text] [PDF]


Home page
DiabetesHome page
H. H. Kramer, M. Schmelz, F. Birklein, and A. Bickel
Electrically Stimulated Axon Reflexes Are Diminished in Diabetic Small Fiber Neuropathies
Diabetes, March 1, 2004; 53(3): 769 - 774.
[Abstract] [Full Text] [PDF]


Home page
Diabetes CareHome page
D. R. Leonard, M. H. Farooqi, and S. Myers
Restoration of Sensation, Reduced Pain, and Improved Balance in Subjects With Diabetic Peripheral Neuropathy: A double-blind, randomized, placebo-controlled study with monochromatic near-infrared treatment
Diabetes Care, January 1, 2004; 27(1): 168 - 172.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2003 by AAN Enterprises, Inc.