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Updated: Jul 13, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Risk factors associated with Indian type 2 diabetes patients with chronic kidney disease: CITE study, a
Ajay Kumar1, Anirban Mazumdar2, A K Bhattacharjee3
1Private Clinic, Patna, India.
Background:
Type 2 diabetes (T2DM) is the leading cause of chronic kidney disease (CKD) worldwide. Identifying clinical and laboratory associations with chronic kidney disease (CKD) in type 2 diabetes (T2DM) can help physicians target modifiable risk factors. In light of limited data from India, the CITE (CKD in Indian T2DM Evaluation) study was conducted.
Methods:
The multicenter, cross-sectional CITE study included 3,325 patients from 28 centres across India over a three-month period. CKD was defined as a persistent decline in kidney function (eGFR < 60 ml/min/1.73 m² for ≥ 3 months) or an elevated urine albumin-to-creatinine ratio (UACR) in at least two samples. Descriptive statistics summarised patient characteristics, while logistic regression analyses identified significant risk factors for CKD.
Results:
The prevalence of CKD in T2DM was 32%, with a median patient age of 59.9 years and 60.72% having a T2DM duration > 10 years. Reduced eGFR (< 60 ml/min/1.73 m²) was associated with older age (OR: 2.47, 95% CI 2.11-2.88, P < 0.001), longer T2DM duration (OR: 2.28, 95% CI 1.77-2.93, P < 0.001), higher HbA1c (OR: 1.039, 95% CI 1.001-1.079, P = 0.046), and elevated SBP (OR: 1.005, 95% CI 1.002-1.009, P = 0.003). Macroalbuminuria (UACR > 300 mg/g) was linked to non-vegetarian diet (OR: 1.95, 95% CI: 1.59-2.40, P < 0.001) and tobacco use (OR: 1.42, 95% CI: 1.17-1.73, P < 0.001). CKD increased comorbidity odds.
Conclusion:
The CITE study highlights the prevalence of CKD (32%) in Indian patients with T2DM and identifies clinical and laboratory factors associated with CKD, including age ≥ 60 years, T2DM duration, SBP, HbA1c, tobacco use, non-vegetarian diet, and comorbidities. Longitudinal studies are needed to confirm these associations and evaluate causality.
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