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CompletedNCT05199350Updated Oct 10, 2023

Distinguishing Participant Groups Using Autonomic Dysfunction

An observational study in Diabetes, sponsored by DyAnsys, Inc.. Completed at 1 site in India. Open to participants aged 18 Years to 85 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-10-10.

Sponsored by DyAnsys, Inc. · Observational

Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
175
Ages
18 Years to 85 Years
Sex
All
01

Study summary

A study population with impaired fasting glucose levels, impaired glucose tolerance levels and diabetes (with or without complications) along with healthy patients will be chosen as participants. Their vital signs and their ECG (electrocardiograph) will be recorded during their only visit. Data analysis will be performed using the vital signs parameters. The RR intervals from the ECG will be analyzed by 5 different techniques to determine the best technique that stratifies the subjects the most accurately.

Read the detailed description

The Autonomic Nervous System (ANS) is a fundamental part of the nervous system in the body. And yet, there is no technique to test or measure the health and functioning of a person's autonomic nervous system.This type of study will determine the most accurate methodology to test the autonomic nervous system through heart rate variability (HRV) monitoring and gain vital information to distinguish patient groups in the diabetic population.

There is no gold standard for measuring autonomic dysfunction. Currently the method of power spectral analysis is finding very wide usage. It Is known that power spectral analysis does not discriminate the two subsystems of the ANS well. There are other beat to beat methodologies that have not yet gained traction. The reason for conducting this trial is to take a group of subjects in various stages of impaired fasting glucose, impaired glucose tolerance and diabetes (with and without complications) and determine which methodology stratifies these subjects most accurately.

Our study aims to introduce a new measurement method named the 'Beat to Beat' (BB) method for gauging autonomic dysfunction in patients. The investigators hope to observe that the average beat to beat method (BB) score could help discriminating diabetic patients into the following five distinct groups from the pilot study:

  1. Normal Glucose Tolerance (NGT) is defined as a plasma glucose concentration i.e \< 140 mg/dl.
  2. Impaired Fasting Glucose (IFG) is defined by an elevated fasting plasma glucose (FPG) concentration i.e ≥ 100 and \< 126 mg/dl.
  3. Impaired Glucose Tolerance (IGT) is defined by an elevated post-prandial plasma glucose concentration i.e ≥140 and \< 200 mg/dl.
  4. Presence of confirmed diabetes (HbA1c level > 6.4 %) without complications i.e no neuropathy, no retinopathy, no nephropathy etc.
  5. Presence of confirmed diabetes (HbA1c level > 6.4 %) with at least one of the above complications.

By showing that this measurement bears no relationship to the other four vital signs parameters (heart rate, blood oxygenation, blood pressure, body temperature), it will prove the necessity of this measurement in addition to the four vital signs for distinguishing patient groups among the diabetic population.

02

Conditions studied

  • Diabetes

Keywords

  • Impaired Fasting Glucose
  • Autonomic Dysfunction Measurement
  • Heart Rate Variability
  • Vital Signs Monitoring
03

In context

Autonomic Nervous System Diseases

166 studies on the registry are indexed under Autonomic Nervous System Diseases; 36 are open to participants now.

This study's enrollment of 175 is above the median of 90 across 51 observational studies indexed under Autonomic Nervous System Diseases.

Browse Autonomic Nervous System Diseases studies →

Lead sponsor

DyAnsys, Inc. is the lead sponsor of 11 studies on the registry; none are open to participants now.

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

04

Who can participate

Ages eligible
18 Years to 85 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Adults of either sex with various stages of impaired fasting glucose tolerance levels and diabetes (with or without complications) will be considered as study population.

Inclusion criteria

  1. Able to provide informed consent
  2. Age between 18 to 85
  3. Body Mass Index (BMI) between 25 and 40 kg/m2
  4. Individuals with normal glucose levels, pre-diabetes and diabetes Type 2 for at least 1 year (diagnosed by ADA criteria) and up to 20 years
  5. Stable dose of meds for 3 months
  6. Stable diet and lifestyle for 3 months
  7. Medical history without clinically significant abnormalities

Exclusion criteria

Exclusion Criteria:

  1. Have a disorder that would impede performing the HRV measurement procedure (i.e., abnormal cardiac rhythm, heart disease, including coronary artery disease, angina, and arrhythmia, cardiac pacemaker, stroke, panic attack, cognitive impairment, renal failure)
  2. Chronic disease (e.g. HIV, Cushing syndrome, CKD, acromegaly, active hyperthyroidism etc.)
  3. Cancer and anticancer treatment in the last 5 years
  4. Pregnancy or lactation
  5. Subjects with major physical disability
  6. Subjects with previous history of cerebrovascular accident
  7. Any disorder, which in the investigator's opinion might jeo
05

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
175 participants (actual)
Patient registry
No

Groups and cohorts

  • Population including people with NGT, IFG and IGT and diabetes.

    Normal Glucose Tolerance (NGT) is defined as a plasma glucose concentration i.e \< 140 mg/dl. IFG is defined by an elevated fasting plasma glucose (FPG) concentration i.e ≥ 100 and \< 126 mg/dl. IGT is defined by an elevated post-prandial plasma glucose concentration i.e ≥140 and \< 200 mg/dl. Presence of confirmed diabetes (HbA1c level \> 6.4 %) without complications i.e no neuropathy, no retinopathy, no nephropathy etc. Presence of confirmed diabetes (HbA1c level \> 6.4 %) with at least one of the above complications.

    Other: Device Name: ANSiscope

Interventions

  • OtherDevice Name: ANSiscope

    Heart rate variability measurement and vital signs monitoring will be performed on all subjects.

06

What researchers measure

Primary outcomes

  1. Determination of autonomic dysfunction by subject

    The ANSiScope Plus will be used to determine the BB (beat to beat) score through heart rate variability measurements.

    Time frame: The measurement will happen in a single visit i.e 1 day.

Secondary outcomes

  1. Establish the absence of any relationship of autonomic dysfunction (AD) to any other vital signs parameters.

    Investigate the importance of measuring the autonomic dysfunction in the presence of other vital signs measurements (heart rate, body temperature, blood oxygenation and blood pressure)

    Time frame: The measurement will happen in a single visit i.e 1 day.

07

Study locations

1 site
  • Sri Rachandra Institute of HigherEducation And Research
    Chennai, Tamil Nadu 600116, India
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 10, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT05199350
Lead sponsor
DyAnsys, Inc.
Responsible party
Sponsor
First posted
Jan 20, 2022
Start date
Nov 17, 2021
Primary completion
Jul 29, 2022
Completion
Jul 29, 2022
Last update
Oct 10, 2023

Study contacts

Dr. Mathangi Dr D.C, Prof &Head M.SC., Phd
principal investigator · Sri Rachandra Institute of HigherEducation And Research hospital
priscilla Dr johnson, MBBS,MD, DNB, PhD
study chair · Sri Rachandra Institute of HigherEducation And Research hospital
shriram Dr Mahadevan
principal investigator · Sri Rachandra Institute of HigherEducation And Research hospital
Divyalakshmi Dr Divyalakshmi k, MBBS,MD
study director · Sri Rachandra Institute of HigherEducation And Research hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Aug 2023. You cannot join it, but the record below documents what was studied.

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