Exploration of small fibers for testing diabetic neuropathies

Chéliout-Héraut, F.; Zrek, Naaman; Khemliche, H.; Varnet, O.; Seret‐Bégué, Dominique; Martinez, M.; Nizou, R.; Bour, F.

doi:10.1016/j.jbspin.2004.10.003

Cited by 28 publications

(14 citation statements)

References 19 publications

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“…A statistically significant difference in the touch-pressure threshold as measured by the SWM test between the patients and healthy controls was observed in both the dominant ( p = 0.006) and non-dominant ( p <0.001) hands. The degradation in the threshold sensation of the hands of the diabetic patients is consistent with a number of earlier studies [10], [32]. The results of the discriminative sensory function as measured by moving and static 2PD, confirmed that our patient group had worse sensation in the hands compared to the control group.…”

Section: Discussionsupporting

confidence: 91%

How the Impact of Median Neuropathy on Sensorimotor Control Capability of Hands for Diabetes: An Achievable Assessment from Functional Perspectives

et al. 2014

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To comprehend the sensorimotor control ability in diabetic hands, this study investigated the sensation, motor function and precision pinch performances derived from a pinch-holding-up activity (PHUA) test of the hands of diabetic patients and healthy subjects. The precision, sensitivity and specificity of the PHUA test in the measurements of diabetic patients were also analyzed. We hypothesized that the diabetic hands would have impacts on the sensorimotor functions of the hand performances under functionally quantitative measurements. One hundred and fifty-nine patients with clinically defined diabetes mellitus (DM) and 95 age- and gender-matched healthy controls were included. Semmes-Weinstein monofilament (SWM), static and moving two-point discrimination (S2PD and M2PD), maximal pinch strength and precision pinch performance tests were conducted to evaluate the sensation, motor and sensorimotor status of the recruited hands. The results showed that there were significant differences (all p<0.05) in SWM, S2PD, M2PD and maximum pinch strength between the DM and control groups. A higher force ratio in the DM patients than in the controls (p<0.001) revealed a poor ability of pinch force adjustment in the DM patients. The percentage of maximal pinch strength was also significantly different (p<0.001) between the DM and control groups. The sensitivity, specificity and area under the receiver operating characteristic curve were 0.85, 0.51, and 0.724, respectively, for the PHUA test. Statistically significant degradations in sensory and motor functions and sensorimotor control ability were observed in the hands of the diabetic patients. The PHUA test could be feasibly used as a clinical tool to determine the sensorimotor function of the hands of diabetic patients from a functional perspective.

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Section: Discussionsupporting

confidence: 91%

How the Impact of Median Neuropathy on Sensorimotor Control Capability of Hands for Diabetes: An Achievable Assessment from Functional Perspectives

et al. 2014

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“…They were higher on the left side, much more so when the cold sensation was considered. These findings might indicate a small-fiber lesion (Adelta) or central pathway impairment [7, 12, 16–18]. They were connected with the absence of an SSR, which was also restricted to the left lower limb.…”

Section: Discussionmentioning

confidence: 91%

Parry–Romberg syndrome: clinical, electrophysiological and neuroimaging correlations

et al. 2011

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Parry–Romberg syndrome (PRS) is a rare disorder, described in the nineteenth century by Caleb Parry and Moritz Romberg, characterized by acquired and slowly progressive atrophy of one side of the face. The pathogenesis of PRS is still unclear. Immune-mediated processes are thought to be a basic factor in PRS etiology, but autonomic nervous system might also be impaired. A case of PRS in a 26-year-old woman with coexisting disturbances in the lower left limb is presented. The multimodal electrophysiological studies were done, including electroencephalography, visual, brain auditory, somatosensory and trigeminal somatosensory evoked potentials, blink reflex, standard neurographic and electromyographic examinations, quantitative sensory tests and autonomic tests. Neuroimaging studies consisted of brain MR, single voxel proton MR spectroscopy, diffusion tensor imaging with fiber tractography. Based on multimodal electrophysiological and neuroimaging studies, it was concluded that the impairment in PRS is multisystemic, i.e., motor, sensory, and autonomic. A cortical origin of the symptoms is possible.

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“…Light touch and vibration sensation can evaluate the functions of big medullated nerve fibers, temperature sensation for the functions of small medullated or non-medullated nerve fibers, and pain sensation for hyperalgesia and hypesthesia [24]. Therefore, NSC/NIS scoring could assess more functions of nerves compared with EMG/NCV test, apart from their convenient and faster diagnosis.…”

Section: Discussionmentioning

confidence: 99%

The Diagnostic Value of Neuropathy Symptom and Change Score, Neuropathy Impairment Score and Michigan Neuropathy Screening Instrument for Diabetic Peripheral Neuropathy

Xiong

et al. 2015

Eur Neurol

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Aims: This study aims to evaluate the diagnostic capabilities of neuropathy symptom and change (NSC) score, neuropathy impairment score (NIS) and Michigan neuropathy screening instrument (MNSI) in diagnosing diabetic peripheral neuropathy (DPN). Methods: A total of 131 patients with type II diabetes received NSC, NIS and MNSI scoring systems. Electromyography/nerve conduction velocity (EMG/NCV) test was taken as gold standard. Correlations between EMG/NCV test and the 3 scorings, and their sensitivity, specificity, positive and negative predictive values, accuracy and kappa (κ) value were analyzed. Results: The prevalence of DPN was 43.5% according to EMG/NCV findings. EMG/NCV test was significantly positive correlated with all the 3 scorings, highest with NIS scoring (r = 0.653, p < 0.001). Compared with EMG/NCV test, NSC score was most sensitive (85.96%) but least specific (77.03%); NIS score had lower sensitivity (59.65%) but best specificity (98.65%) and accuracy (81.68%). Both had high concordance with EMG/NCV test (κ = 0.61). Sensitivity, specificity and accuracy of MNSI were highest (70.18, 98.65 and 80.15%) at the cutoff values of >1.0, >2.5 and >1.5, respectively (κ = 0.58). Conclusions: Both NSC and NIS were accurate and reliable diagnostic methods for DPN. The combined application of NSC and NIS was recommended in DPN diagnosis.

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Exploration of small fibers for testing diabetic neuropathies

Cited by 28 publications

References 19 publications

How the Impact of Median Neuropathy on Sensorimotor Control Capability of Hands for Diabetes: An Achievable Assessment from Functional Perspectives

How the Impact of Median Neuropathy on Sensorimotor Control Capability of Hands for Diabetes: An Achievable Assessment from Functional Perspectives

Parry–Romberg syndrome: clinical, electrophysiological and neuroimaging correlations

The Diagnostic Value of Neuropathy Symptom and Change Score, Neuropathy Impairment Score and Michigan Neuropathy Screening Instrument for Diabetic Peripheral Neuropathy

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