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Development of an Algorithm for Ultrahuman Health Platform

Development of an Algorithm to Assess Metabolic Health of Non-diabetic and Pre-diabetic South-Asian Population Using Continuous Glucose Monitoring Systems and Ultrahuman Health Platform

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/08/044808
Enrollment
100
Registered
2022-08-22
Start date
Unknown
Completion date
Unknown
Last updated
2023-04-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Ultrahuman Healthcare Pvt Ltd
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: General inclusion criteria for healthy and prediabetic population: Subjects within the age group of 25-50 years. Subjects willing to participate in the study. BMI within 20 â?? 30 kg per m2 Willing to comply to the advised use of CGM, activity tracker, CGM reader and the UH Application. Inclusion criteria for healthy population: Fasting blood glucose level at screening 79-99 mg/dl HbA1c range 4.0-5.6 percentage 2-hour plasma glucose during 75-g OGTT below 140 mg/dL (less than 7.8 mmol/L) Inclusion criteria for prediabetic population: Fasting blood glucose level at screening 100-125 mg/dl OR HbA1c range 5.7-6.4 percentage OR 2-hour plasma glucose during 75-g OGTT 140â??199 mg/dL (7.8â??11.0 mmol/L)

Exclusion criteria

Exclusion criteria: History of acute or subacute infection in the last three months. History of chronic illnesses and autoimmune conditions. Subjects on antimicrobial drug agents, including antibiotics, antivirals, or antifungals Subjects pre-diagnosed with Type 1 Diabetes Subjects pre-diagnosed with Type 2 Diabetes Mellitus according to the ADA (American Diabetes Association) criteria. Subjects with anemia [less than male 13 grams per dL and females less than 12 grams per dL] Documented known medical history of any impaired renal and liver function. Subjects diagnosed with cardiac disease, including angina, heart failure, arrhythmias, valvular heart disease, or congenital heart disease. Subjects with regular alcohol consumption of more than eight drinks per week and 15 drinks per week in women and men, respectively. Enrolment in any kind of weight reduction program in the last six months Unexplained intentional or unintentional weight loss of more than 10 percent of average weight in the previous six months Subjects currently on diet plans such as keto, low carb and intermittent fasting. Pregnant and lactating females Out of range results in any of the screening tests carried out for blood glucose measurements (FBG, HbA1c and OGTT tests)

Design outcomes

Primary

MeasureTime frame
CGM-based glucose indices over 14 days of period Mean glucose levels described by a 24-hour profile during 2 weeks Time in glucose ranges Glycaemic variability as measured by the standard deviation, coefficient of variation, MAGETimepoint: Day 1 and Day 14

Secondary

MeasureTime frame
Changes in FBS from day 0 to day 15 Assessing the correlations between the biomarkers and metabolic health metrics, the key relationships to explore are: Glucose variability indices and sleep duration Glucose variability indices and stress (as measured by cortisol) Glucose variability indices and inflammation (as measured by Hs-CRP) Glucose variability indices and gut microbiome index Glucose variability indices and urine metabolites Glucose variability indices and physical activity (limited to step count and heart rate)Timepoint: Day 0 and Day 14

Countries

India

Contacts

Public ContactSuresh Kumar Karri

Triomics Healthcare Pvt Ltd

suresh.karri@triomics.in9739798272

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026