To Assess the Accuracy of the eZscan Study in the Screening for Diabetic Nephropathy
NCT ID: NCT01163591
Last Updated: 2015-10-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
100 participants
OBSERVATIONAL
2009-01-31
2009-10-31
Brief Summary
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The skin has been found to have the potential to provide an important non-invasive route for diagnostic monitoring of human subjects for a wide range of applications. eZscanĀ® technology is a patented active electrophysiological technology which uses low level DC-inducing reverse iontophoresis, together with chronoamperometry, to evaluate the behaviour of the tissues in specific locations of the body. This non invasive test is a potential tool for the screening for diabetic nephropathy.
The aim of this study is to compare eZscan with the standard methods of screening for diabetic nephropathy in patients with type 2 diabetes mellitus.
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Detailed Description
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Inclusion criteria:
1. Male or female aged between 21 and 75 years (inclusive).
2. Has confirmed type 2 diabetes mellitus
3. With or without diabetic nephropathy based on recent complication screening
4. Written informed consent given
Exclusion criteria:
1. Has amputation of arm or leg
2. Uses beta blockers or drugs known to affect the sympathetic nervous system
3. Has an electrical implantable device (pacemaker, defibrillator)
4. Known to have sensitivity to nickel or any other standard electrodes
5. Sufferers from epilepsy or seizures
6. Patients on renal replacement therapy
7. Patients with chronic kidney disease due to known non-diabetes causes e.g. renal stone or obstructive uropathy.
8. Patients confirmed to have urinary tract infection on the day of assessment.
Primary endpoint:
1. The optimal eZscan unit to detect the presence of diabetic nephropathy as defined by eGFR and ACR using ROC analysis, sensitivity and specificity values.
Other analysis:
2. A prediction algorithm using age, sex, body mass index and eZcan score will be developed to predict eGFR as continuous and categorical variables using Cox regression analysis.
3. Students t test and analysis of variance will be used to compare the eZcan values between patients with and those without diabetic nephropathy with age and sex adjustment Frequency of adverse events will also be listed.
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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Case
Patients with overt diabetic nephropathy as evidenced by ACR greater than or equal to 30mg/mmol on urinalysis and eGFR greater than or equal to 15ml/min/1.73m2 and less than 60ml/min/1.73m2
No interventions assigned to this group
Control
Patients without diabetic nephropathy as defined by the absence of albuminuria (defined by a random spot urinary ACR \<2.5 mg/mmol in women or ACR\<3.5 mg/mmol in men)and eGFR greater or equal to 90 ml/min/1.73m2
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. Has confirmed type 2 diabetes mellitus
3. With or without diabetic nephropathy based on recent complication screening
4. Written informed consent given
Exclusion Criteria
2. Uses beta blockers or drugs known to affect the sympathetic nervous system
3. Has an electrical implantable device (pacemaker, defibrillator)
4. Known to have sensitivity to nickel or any other standard electrodes
5. Sufferers from epilepsy or seizures
6. Patients on renal replacement therapy
7. Patients with chronic kidney disease due to known non-diabetes causes e.g. renal stone or obstructive uropathy.
8. Patients confirmed to have urinary tract infection on the day of assessment.
21 Years
75 Years
ALL
No
Sponsors
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Chinese University of Hong Kong
OTHER
Responsible Party
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Risa Ozaki
Honorary Clinical Associate Professor
Principal Investigators
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Risa Ozaki, MBChB, MRCP
Role: PRINCIPAL_INVESTIGATOR
Chinese University of Hong Kong
Locations
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Diabetes Mellitus and Endocrine Centre, Prince of Wales Hospital
Shatin, Hong Kong, China
Countries
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Other Identifiers
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CRE-2008.470-T
Identifier Type: -
Identifier Source: org_study_id
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