Abstract: TH-PO1086
Study of Monocyte-to-HDL Cholesterol Ratio as a Biomarker in Patients with Type 2 Diabetes with and Without Diabetic Kidney Disease
Session Information
- Pathology and Lab Medicine
October 22, 2026 | Location: Exhibit Hall A, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Pathology and Lab Medicine
- 1700 Pathology and Lab Medicine
Authors
- Mokariya, Dipak Ramesh, Maulana Azad Medical College, New Delhi, DL, India
- Vanteru, Abinay Siva kumar Reddy, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States
- Lulla, Nitya Dinesh, Maulana Azad Medical College, New Delhi, DL, India
- Asari, Pranav, Atal Bihari Vajpayee Institute of Medical Sciences & Dr Ram Manohar Lohia Hospital, New Delhi, DL, India
- Gejji, Lochan Rajeev, Maulana Azad Medical College, New Delhi, DL, India
Background
Diabetic kidney disease (DKD) is a common microvascular complication of type 2 diabetes mellitus (T2DM). Early identification of DKD remains challenging, necessitating the development of reliable biomarkers. The monocyte-to-high-density lipoprotein cholesterol ratio (MHR) has emerged as a novel inflammatory marker reflecting systemic inflammation and oxidative stress. This study aimed to evaluate the role of MHR as a biomarker for early recognition of DKD in patients with T2DM.
Methods
This cross-sectional observational study was conducted at Dr. Ram Manohar Lohia Hospital,New Delhi. A total of 28 adult patients diagnosed with T2DM were enrolled. Clinical evaluation and laboratory investigations, including complete blood count, glycemic parameters, urinary albumin-creatinine ratio, lipid profile, and renal function tests, were performed. The monocyte-to-HDL cholesterol ratio (MHR) was subsequently calculated. Statistical analysis was performed using SPSS version 23, with a p-value <0.05 considered statistically significant.
Results
The mean age of the study population was 55.7 ± 10.14 years, with an equal gender distribution. Among the participants, 60.7% (n=17) had DKD. Patients with DKD had significantly higher MHR values compared to those without DKD (16.89 ± 8.33 vs. 9.85 ± 3.30; p=0.003). Logistic regression analysis identified MHR as a significant predictor of DKD (p=0.022). Receiver operating characteristic (ROC) analysis demonstrated good diagnostic performance of MHR, with an area under the curve (AUC) of 0.84. At a cutoff value of ≥13.29, MHR demonstrated a sensitivity of 70.59% and specificity of 90.91%. The positive and negative predictive values were 92.31% and 66.67%, respectively. Elevated MHR was strongly associated with DKD, suggesting its potential utility as an inflammatory biomarker for early renal risk stratification in patients with T2DM.
Conclusion
MHR may serve as a reliable, simple, and cost-effective inflammatory biomarker with good predictive accuracy for DKD in patients with T2DM, potentially enabling timely intervention to reduce disease progression and associated complications.
Funding
- Government Support – Non-U.S.