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

October 9, 2015 updated by: Risa Ozaki, Chinese University of Hong Kong

A Phase II, Open-Label, Cross-Sectional, Study to Compare eZscan, With Standard Methods of Screening for Diabetic Nephropathy, As a Tool for Detection of Type 2 Diabetic Nephropathy

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.

Study Overview

Status

Completed

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.

Study Type

Observational

Enrollment (Actual)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

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

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

21 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Type 2 diabetes mellitus patients with and without diabetic nephropathy

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
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
9 months

Secondary Outcome Measures

Outcome Measure
Time Frame
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
9 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Risa Ozaki, MBChB, MRCP, Chinese University of Hong Kong

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2009

Primary Completion (Actual)

October 1, 2009

Study Completion (Actual)

October 1, 2009

Study Registration Dates

First Submitted

November 24, 2009

First Submitted That Met QC Criteria

July 15, 2010

First Posted (Estimate)

July 16, 2010

Study Record Updates

Last Update Posted (Estimate)

October 12, 2015

Last Update Submitted That Met QC Criteria

October 9, 2015

Last Verified

October 1, 2015

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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