Diabetic Neuropathy Rapid Screening Test in Turkish Patients With Type 2 Diabetes: Sudoscan

NCT05299918 | Completed

• 1 other identifier: 2014/495
• Study Type: observational
• Target: 437
• Locations: 0 countries
• Sites: N/A

Brief Summary

Neuropathy is a frequently observed complication occurring in 60-70% of diabetic patients throughout their lives. In addition, neuropathy is a severe disease that progresses insidiously; its diagnosis can be delayed due to the absence of clinical findings, affects the quality of life, and increases mortality and morbidity. Up to 50% of patients with diabetic peripheral neuropathy (DPN) may be asymptomatic. Typically, DPN progresses in the form of chronic, symmetrical, and progressive sensorimotor polyneuropathy. The five-year mortality rate of individuals with diabetes with autonomic neuropathy is three times higher than those without. The diagnosis of clinical neuropathy is usually made by the symptoms, the vibration sensation with the diapason, and the tactile sensation tests. Although diapason and monofilament tests are easy, they are qualitative tests that the patient must be careful and coordinate with. Biothesiometry or Semmes-Weinstein monofilament tests cannot examine autonomous involvement. Cardiovascular autonomic neuropathy tests based on heart rate variability (HRV), on the other hand, can be affected by factors such as age, body position, cigarette-coffee consumption, blood pressure, exercise, heart rate, and respiratory rate. An easy and fast diagnostic method may be more helpful in diagnosing peripheral and autonomic neuropathy. Distal small-fiber polyneuropathy can be detected by measuring sweat function using Sudoscan, a rapid, non-invasive, and quantitative method. This measurement method is based on the electrochemical reaction between sweat chlorides and stainless steel electrodes that come into contact with the palms of the hands and soles of the feet. Results are provided as a Diabetic Autonomic Neuropathy (DAN) score based on conductances (micro siemens, μS) and conductivity values for the hands and feet (right and left sides). SUDOSCAN can detect distal small-fiber polyneuropathy with \>75% sensitivity. SUDOSCAN can be considered a robust method for detecting sudomotor dysfunction and is used for clinical and research purposes. In the American Diabetes Association (ADA) consensus statement, sudomotor functions are mentioned in the early diagnosis of autonomic neuropathy in people with diabetes. This study aimed to evaluate the effectiveness of this method in clinical applications by comparing sudomotor test results with other conventional measurement methods in the evaluation of diabetic peripheral and cardiac neuropathy.

Conditions

Neuropathy Autonomic; Cardiac Autonomic Neuropathy; Type2Diabetes; Diabetic Neuropathy Peripheral; Diabetic Neuropathies

Keywords

SUDOSCAN; Cardiac Autonomic Neuropathy; Neuropathy Autonomic; Diabetic Neuropathy Peripheral; Type2Diabetes

Outcome Measures

Primary Outcomes (8)

• Peripheral Neuropathy assesed by sudoscan

  Peripheral small-fiber sympathetic function (Sudoscan), measuring sudomotor function by electrochemical skin conductance (µS) in feet

  15.07.2014 to15.07.2015

• Peripheral Neuropathy assesed by sudoscan

  Peripheral small-fiber sympathetic function (Sudoscan), measuring sudomotor function by electrochemical skin conductance (µS) in hands

  15.07.2014 to15.07.2015

• Peripheral Neuropathy assesed by Monofilament

  Neuropathy assesed by Monofilament Light touch with 10 g monofilament

  15.07.2014 to15.07.2015

• Peripheral Neuropathy assesed by Douleur Neuropathique 4 Questions (DN4)

  15.07.2014 to15.07.2015

• Peripheral Neuropathy assesed by diapason

  Neuropathy assessed by diapason Light touch with 128 Hz diapason

  15.07.2014 to15.07.2015

• Cardiac Autonomic Neuropathy assesed by electrocardiogram (ECG)

  The expiration/inspiration (E/I) ratio was calculated by dividing the mean of the longest RR interval during expiration by the mean of the shortest RR interval during inspiration while the patient was lying quietly and breathing deeply with an electrocardiogram recording the heart rate change. This ratio is considered ≥ 1.21 normal, between 1.11-1.20 borderline, and ≤ 1.1 abnormal.

  15.07.2014 to15.07.2015

• Peripheral Neuropathy assesed by NC-Stat (Neurometrix)

  In the evaluation of Neurometric Measurement; normal limits are \>4 microvolts and \>40 second meters

  15.07.2014 to15.07.2015

• Cardiac Autonomic Neuropathy assesed by Othostatic BP change

  The blood pressure is measured using a standard sphygmomanometer while the subject is lying down again after standing up. The difference in systolic blood pressure is taken to measure postural blood pressure change. The measured blood pressure difference is considered normal if ≤10 mmHg, borderline between 11-29 mmHg, and abnormal if ≥30 mmHg.

  15.07.2014 to15.07.2015

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

This study was selected among adult type 2 diabetes patients under control at Istanbul University Istanbul Medical Faculty Diabetes Polyclinic between July 2014 and July 2015. The 437 patients included studying were the ages of 18 and older.

You may qualify if:

• The ability to give informed consent
• Male or female persons \>18 years of age with a diagnosis of type 2 DM (WHO criteria)

You may not qualify if:

• \<18 years of age
• Participants with type 1 diabetes
• Ongoing cancer treatment or other concurrent illness that will make the patient unable to attend the study at the discretion of the investigator
• Pregnant or breastfeeding participants
• Participants with atrial fibrillation, atrial flutter, or pacemakers will not be subjected to cardiac autonomic neuropathy measurements.
• Participants with toe or foot amputations or foot ulcer
• vitamin B12 deficiency and other causes of peripheral neuropathy.

Sponsors & Collaborators

• Istanbul University: lead

Related Publications (10)

• Tesfaye S, Boulton AJ, Dyck PJ, Freeman R, Horowitz M, Kempler P, Lauria G, Malik RA, Spallone V, Vinik A, Bernardi L, Valensi P; Toronto Diabetic Neuropathy Expert Group. Diabetic neuropathies: update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes Care. 2010 Oct;33(10):2285-93. doi: 10.2337/dc10-1303.

  PMID: 20876709 RESULT

• Gin H, Baudoin R, Raffaitin CH, Rigalleau V, Gonzalez C. Non-invasive and quantitative assessment of sudomotor function for peripheral diabetic neuropathy evaluation. Diabetes Metab. 2011 Dec;37(6):527-32. doi: 10.1016/j.diabet.2011.05.003. Epub 2011 Jun 28.

  PMID: 21715211 RESULT

• Mayaudon H, Miloche PO, Bauduceau B. A new simple method for assessing sudomotor function: relevance in type 2 diabetes. Diabetes Metab. 2010 Dec;36(6 Pt 1):450-4. doi: 10.1016/j.diabet.2010.05.004. Epub 2010 Aug 23.

  PMID: 20739207 RESULT

• Ewing DJ, Martyn CN, Young RJ, Clarke BF. The value of cardiovascular autonomic function tests: 10 years experience in diabetes. Diabetes Care. 1985 Sep-Oct;8(5):491-8. doi: 10.2337/diacare.8.5.491.

  PMID: 4053936 RESULT

• Casellini CM, Parson HK, Richardson MS, Nevoret ML, Vinik AI. Sudoscan, a noninvasive tool for detecting diabetic small fiber neuropathy and autonomic dysfunction. Diabetes Technol Ther. 2013 Nov;15(11):948-53. doi: 10.1089/dia.2013.0129. Epub 2013 Jul 27.

  PMID: 23889506 RESULT

• Yajnik CS, Kantikar VV, Pande AJ, Deslypere JP. Quick and simple evaluation of sudomotor function for screening of diabetic neuropathy. ISRN Endocrinol. 2012;2012:103714. doi: 10.5402/2012/103714. Epub 2012 Jul 9.

  PMID: 22830040 RESULT

• Grandinetti A, Chow DC, Sletten DM, Oyama JK, Theriault AG, Schatz IJ, Low PA. Impaired glucose tolerance is associated with postganglionic sudomotor impairment. Clin Auton Res. 2007 Aug;17(4):231-3. doi: 10.1007/s10286-007-0426-z. Epub 2007 Aug 23.

  PMID: 17717720 RESULT

• Low VA, Sandroni P, Fealey RD, Low PA. Detection of small-fiber neuropathy by sudomotor testing. Muscle Nerve. 2006 Jul;34(1):57-61. doi: 10.1002/mus.20551.

  PMID: 16718689 RESULT

• Unal-Cevik I, Sarioglu-Ay S, Evcik D. A comparison of the DN4 and LANSS questionnaires in the assessment of neuropathic pain: validity and reliability of the Turkish version of DN4. J Pain. 2010 Nov;11(11):1129-35. doi: 10.1016/j.jpain.2010.02.003. Epub 2010 Apr 24.

  PMID: 20418179 RESULT

• Selvarajah D, Cash T, Davies J, Sankar A, Rao G, Grieg M, Pallai S, Gandhi R, Wilkinson ID, Tesfaye S. SUDOSCAN: A Simple, Rapid, and Objective Method with Potential for Screening for Diabetic Peripheral Neuropathy. PLoS One. 2015 Oct 12;10(10):e0138224. doi: 10.1371/journal.pone.0138224. eCollection 2015.

  PMID: 26457582 RESULT

MeSH Terms

Conditions

Diabetic Neuropathies

Condition Hierarchy (Ancestors)

Peripheral Nervous System Diseases; Neuromuscular Diseases; Nervous System Diseases; Diabetes Complications; Diabetes Mellitus; Endocrine System Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: MD, PhD; Academician; Principle Investigator

Study Record Dates

• First Submitted: March 20, 2022
• First Posted: March 29, 2022
• Study Start: July 15, 2014
• Primary Completion: July 15, 2015
• Study Completion: July 15, 2015
• Last Updated: April 6, 2022

Record last verified: 2022-03