SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy

Background Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for...

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Main Authors: Tae Jung Oh, Yoojung Song, Hak Chul Jang, Sung Hee Choi
Format: Article
Language:English
Published: Korean Diabetes Association 2022-03-01
Series:Diabetes & Metabolism Journal
Subjects:
Online Access:http://e-dmj.org/upload/pdf/dmj-2021-0014.pdf
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author Tae Jung Oh
Yoojung Song
Hak Chul Jang
Sung Hee Choi
author_facet Tae Jung Oh
Yoojung Song
Hak Chul Jang
Sung Hee Choi
author_sort Tae Jung Oh
collection DOAJ
description Background Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice. Methods We analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test. Results Confirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model. Conclusion The screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.
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spelling doaj.art-2362227b51b34d9bba17e63406fdeb632022-12-22T00:49:34ZengKorean Diabetes AssociationDiabetes & Metabolism Journal2233-60792233-60872022-03-0146231932610.4093/dmj.2021.00142584SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral NeuropathyTae Jung Oh0Yoojung Song1Hak Chul Jang2Sung Hee Choi3 Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea Department of Internal Medicine, Seoul National University College of Medicine, Seoul, KoreaBackground Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice. Methods We analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test. Results Confirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model. Conclusion The screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.http://e-dmj.org/upload/pdf/dmj-2021-0014.pdfdiabetes mellitus, type 2diabetic neuropathiesdiagnostic screening programs
spellingShingle Tae Jung Oh
Yoojung Song
Hak Chul Jang
Sung Hee Choi
SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
Diabetes & Metabolism Journal
diabetes mellitus, type 2
diabetic neuropathies
diagnostic screening programs
title SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
title_full SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
title_fullStr SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
title_full_unstemmed SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
title_short SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
title_sort sudoscan in combination with the michigan neuropathy screening instrument is an effective tool for screening diabetic peripheral neuropathy
topic diabetes mellitus, type 2
diabetic neuropathies
diagnostic screening programs
url http://e-dmj.org/upload/pdf/dmj-2021-0014.pdf
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