Role of Triglyceride-Glucose Index and Inflammatory Biomarkers as Prognostic Tools for Progression of Diabetic Nephropathy
Role of Triglyceride-Glucose Index and Inflammatory Biomarkers as Prognostic Tools for Progression of Diabetic Nephropathy: A Cross-Sectional Study
Studienübersicht
Status
Bedingungen
Detaillierte Beschreibung
Diabetic nephropathy (DN) is a major microvascular complication of diabetes and a leading cause of chronic kidney disease and end-stage renal disease worldwide . Approximately 30%-40% of people with diabetes develop DN, although prevalence varies by population and region . Clinically, DN is characterized by persistent albuminuria and progressive decline in glomerular filtration rate, and it is strongly linked to cardiovascular events, premature mortality, and major socioeconomic burden . Global burden estimates for 2021 reported 107.6 million prevalent cases, 477.3 thousand deaths, and rising disability-adjusted life years, underscoring the growing public health impact of DN .
Risk stratification in DN is essential for identifying patients at high risk of progression, guiding surveillance intensity, and enabling timely use of renoprotective therapies . Current management relies mainly on albuminuria and estimated glomerular filtration rate, alongside optimization of glycemic control, blood pressure, renin-angiotensin system blockade, SGLT2 inhibitors, GLP-1 receptor agonists, and mineralocorticoid receptor antagonists . However, these conventional markers have important limitations because albuminuria may appear after substantial renal injury, and some patients experience renal decline without marked albuminuria .
Novel biomarkers increasingly focus on metabolic and inflammatory pathways underlying diabetic nephropathy progression . The triglyceride-glucose (TyG) index has emerged as a simple surrogate of insulin resistance and has shown independent association with DN, while inflammatory markers such as TNF-related pathways and interleukin-6 also appear relevant to progression . Among inflammatory indices, NLR has shown the most consistent association with diabetic nephropathy occurrence and progression, while PLR and SII have also been linked to albuminuria, proteinuria, and renal dysfunction in several studies . Still, the evidence remains limited by cross-sectional and single-center designs, heterogeneity, inconsistent cutoffs, and modest standalone accuracy, so larger multicenter longitudinal studies are needed to validate their incremental prognostic value .
Studientyp
Einschreibung (Geschätzt)
Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Probenahmeverfahren
Studienpopulation
Beschreibung
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).
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
Kohorten und Interventionen
Gruppe / Kohorte |
|---|
|
Group A: patients with diabetes mellitus without diabetic nephropathy
|
|
Group B: patients with early-stage DN (Stage 1, Stage 2, and Stage 3a)
|
|
Group C: patients with advanced-stage DN (Stage 3b, Stage 4, Stage 5 not on dialysis)
|
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
Association between the Triglyceride-Glucose (TyG) index and inflammatory biomarkers (NLR, PLR, SII) with the severity/stage of diabetic nephropathy
Zeitfenster: Baseline
|
To evaluate the association between the Triglyceride-Glucose (TyG) index and inflammatory biomarkers (NLR, PLR, SII) with the severity/stage of diabetic nephropathy (based on eGFR and UACR categories, per KDIGO classification), and to determine their diagnostic/prognostic accuracy (sensitivity, specificity, AUC via ROC analysis) in identifying patients at higher risk of DN progression.
|
Baseline
|
Mitarbeiter und Ermittler
Sponsor
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Geschätzt)
Primärer Abschluss (Geschätzt)
Studienabschluss (Geschätzt)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Zusätzliche relevante MeSH-Bedingungen
- Urogenitale Erkrankungen
- Erkrankungen des endokrinen Systems
- Männliche Urogenitalerkrankungen
- Nierenerkrankungen
- Urologische Erkrankungen
- Weibliche Urogenitalerkrankungen
- Weibliche Urogenitalerkrankungen und Schwangerschaftskomplikationen
- Stoffwechselerkrankungen
- Störungen des Glukosestoffwechsels
- Diabetes-Komplikationen
- Ernährungs- und Stoffwechselerkrankungen
- Diabetes Mellitus
- Diabetische Nephropathien
Andere Studien-ID-Nummern
- TyG, NLR, PLR, and SII in DN
Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
Diese Informationen wurden ohne Änderungen direkt von der Website clinicaltrials.gov abgerufen. Wenn Sie Ihre Studiendaten ändern, entfernen oder aktualisieren möchten, wenden Sie sich bitte an register@clinicaltrials.gov. Sobald eine Änderung auf clinicaltrials.gov implementiert wird, wird diese automatisch auch auf unserer Website aktualisiert .