Role of Triglyceride-Glucose index and inflammatory biomarkers as prognostic tools for progression of diabetic nephropathy: a Cross-Sectional study
NCT ID NCT07813793
First seen Sep 10, 2026 · Last updated Sep 10, 2026
Summary
This study aims to evaluate the prognostic value of the Triglyceride-Glucose (TyG) index alongside inflammatory biomarkers in predicting the progression of diabetic nephropathy, exploring their correlation with disease severity to identify accessible, cost-effective markers for early risk stratification and clinical monitoring in diabetic patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
-
About 105 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
-
Oct 2026
An estimate. Start dates often move.
- Expected to finish
-
Nov 2027
An estimate. End dates often move.
- Lead sponsor
-
Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adult patients (≥18 years) with type 1 or type 2 diabetes mellitus, with or without diabetic nephropathy.
- Ages
-
18 years and older
- Sex
-
Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Adult patients (≥18 years). * Patients diagnosed with Type 2 or Type 1 Diabetes Mellitus. * Patients accepted to provide informed consent and available for clinical examination, blood sampling, and completion of required laboratory investigations (Triglyceride level, fasting glucose, inflammatory markers). Exclusion Criteria: * Patients with non-diabetic causes of chronic kidney disease (e.g., glomerulonephritis, polycystic kidney disease, obstructive uropathy). * Patients with acute kidney injury, active urinary tract infection, or other acute inflammatory/infectious conditions that could confound inflammatory biomarker levels. * Patients on dialysis or with a history of renal transplantation. * Patients with conditions known to independently alter triglyceride/glucose levels or hematological parameters (PLR, NLR, SII) were excluded, including uncontrolled thyroid disease, active malignancy, current corticosteroid or immunosuppressive therapy, pregnancy, or severe hepatic dysfunction affecting lipid/glucose metabolism; hematological disorders such as hematological malignancies, or thrombocytopenia/thrombocytosis of nondiabetic origin; active infection, sepsis, and recent blood transfusion or use of medications affecting blood cell counts (e.g., chemotherapy, anticoagulants affecting platelet function).
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for Diabetes mellitus are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
-
The official record
The full official record for this study. This one lists no contact details, but it is the first place any would appear.
-
A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- SugarVita 2.0: confirmation of a serious game for self-management of diabetes
- Can diverse tissue samples unlock Obesity's secrets?
- Personalized nursing care may boost diabetes Self-Management
- Can AI help nurses guide At-Risk seniors to better care and lower costs?
- Can a 15-Day wearable sensor keep blood sugar on target?
- Can a One-Month diet shift diabetes biomarkers?