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CompletedNCT01163591Updated Oct 12, 2015

To Assess the Accuracy of the eZscan Study in the Screening for Diabetic Nephropathy

An observational study in Diabetic Nephropathy, sponsored by Chinese University of Hong Kong. Completed at 1 site in China. Open to participants aged 21 Years to 75 Years. Per ClinicalTrials.gov, last updated 2015-10-12.

Sponsored by Chinese University of Hong Kong · Observational

Study type
Observational
Model
Case-control
Time perspective
Cross-sectional
Enrollment
100
Ages
21 Years to 75 Years
Sex
All
01

Study summary

Diabetes mellitus (DM) is a metabolic disorder commonly encountered by the healthcare professionals. Diabetic nephropathy is one of its complications, which is becoming the most common cause of end-stage renal failure in Hong Kong. As of March 31, 2000, a total of 1026 patients with diabetes were on renal replacement therapy and the number is steadily increasing. According to ADA guidelines, screening for diabetic nephropathy should be performed on an annual basis to assess urine albumin excretion rate. Serum creatinine should also be measured in all diabetic patients regardless of the degree of urine albumin excretion rate. Timed urinary collection can be a cumbersome procedure for patients and a simpler and fast test that maintains reasonable sensitivity is called for. A tool that is non-invasive and able to identify patients with early nephropathy changes would be valuable.

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. eZscan® 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.

Read the detailed description

Patients with type 2 diabetes mellitus with and without diabetic nephropathy will be identified from clinical records and approached for their interest in participating in the study. Written informed consent will be obtained from patients who qualify according to the eligibility criteria and agree to join the study.

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.
02

Conditions studied

  • Diabetic Nephropathy

Keywords

  • Diabetes
  • Nephropathy
  • Screening
03

In context

Kidney Diseases

3,840 studies on the registry are indexed under Kidney Diseases; 500 are open to participants now.

This study's enrollment of 100 is below the median of 192 across 1,033 observational studies indexed under Kidney Diseases.

Browse Kidney Diseases studies →

Lead sponsor

Chinese University of Hong Kong is the lead sponsor of 1,419 studies on the registry; 487 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
21 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Type 2 diabetes mellitus patients with and without diabetic nephropathy

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

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.
05

Study design

Observational model
Case-control
Time perspective
Cross-sectional
Enrollment
100 participants (actual)

Groups and cohorts

  • 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

  • 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

06

What researchers measure

Primary outcomes

  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.

    Time frame: 9 months

Secondary outcomes

  1. 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.

    Time frame: 9 months

07

Study locations

1 site
  • Diabetes Mellitus and Endocrine Centre, Prince of Wales Hospital
    Shatin, Hong Kong, China
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 12, 2015, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT01163591
Lead sponsor
Chinese University of Hong Kong
Responsible party
Risa Ozaki (Honorary Clinical Associate Professor, Chinese University of Hong Kong) — Principal investigator
First posted
Jul 16, 2010
Start date
Jan 2009
Primary completion
Oct 2009
Completion
Oct 2009
Last update
Oct 12, 2015

Study contacts

Risa Ozaki, MBChB, MRCP
principal investigator · Chinese University of Hong Kong

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Oct 2015. You cannot join it, but the record below documents what was studied.

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