Classification of Adult-onset Diabetes in Five Subgroups in Pakistani Population

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06706609

Enrollment

394

Registered

2024-11-26

Start date

2025-02-01

Completion date

2025-12-31

Last updated

2024-11-26

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

Conditions

Diabetes Mellitus, Diabetes Mellitus, Adult-Onset, Diabetes Mellitus Type 1 and 2

Brief summary

This study aims to classify adult-onset diabetes patients into distinct data-driven clusters, such as severe insulin-deficient, severe insulin-resistant, mild obesity-related, and mild age-related diabetes, based on clinical and biochemical characteristics. Using a cross-sectional design, data will be collected from individuals attending outpatient diabetes clinics at tertiary care hospitals in Pakistan. The study will analyze the distribution of metabolic and demographic characteristics within each cluster and assess subgroup-specific risks for diabetic complications. Additionally, the relationship between clustering variables and the risk of complications will be evaluated to enhance the understanding of diabetes heterogeneity and its impact on patient outcomes.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

CROSS_SECTIONAL

Eligibility

Sex/Gender

ALL

Age

16 Years to No maximum

Healthy volunteers

Inclusion criteria

* Patients of both genders whose age of disease onset was older than 16 years * Patients newly diagnosed with or previously diagnosed with T2D * Able and willing to provide written informed consent and to comply with the study

Exclusion criteria

* Patients with other medical comorbidities (not a complication of diabetes), such as malignancies. * Pregnancy

Design outcomes

Primary

Measure	Time frame
Classify patients into data-driven clusters (e.g., severe insulin-deficient, severe insulin-resistant, mild obesity-related and mild age-related diabetes).	At the time of clinic visit during enrollment

Secondary

Measure	Time frame
Analyze the distribution of metabolic and demographic characteristics within each cluster.	At the time of clinic visit during enrollment
• Assess subgroup-specific risks for diabetic macrovascular complications such as CVD, Stroke/TIA, and microvascular complications such as nephropathy, retinopathy, peripheral and autonomic neuropathy	At the time of clinic visit during enrollment
Evaluate the relationship between clustering variables and complications.	At the time of clinic visit during enrollment

Contacts

Primary ContactDr Shaheryar Hasan, MBBS, MBA

shaheryar.hasan@getzpharma.com+923121260642

Backup ContactDr Jahanzeb Kamal Khan, MBBS, MBA, CRCP, MCPS

jahanzeb.kamal@getzpharma.com+923201212945

Outcome results