Association of Microalbuminuria, Protein-Creatinine Ratio, and Derived Renal Risk Indices in Patients With Type 2 Diabetes Mellitus in a South Indian Population: A Cross-Sectional Study

Background One of the main causes of end-stage renal disease and chronic kidney disease (CKD) in people with type 2 diabetes mellitus (T2DM) is diabetic nephropathy. The clinical value of the protein-creatinine ratio (PCR) and derived renal risk indices for comprehensive renal risk assessment has not been adequately investigated, despite microalbuminuria being a recognised indicator of early renal injury. Derived renal risk markers (novel renal indices, including the albumin-protein ratio (APR), albumin-creatinine ratio (ACR)/eGFR index (ACR/eGFR), protein/eGFR index (PCR/eGFR), and a composite renal risk score (RRS)) were calculated to comprehensively assess proteinuria relative to renal function and estimate the severity of renal impairment. Methods A one-year hospital-based cross-sectional study from January 2025 to January 2026 was conducted among 150 adults with T2DM individuals with T2DM who were enrolled in Vinayaka Mission Medical College & Hospital, Karaikal, and participated in the cross-sectional study. Blood pressure, body mass index (BMI), serum creatinine, HbA1c, and length of diabetes were among the clinical and biochemical markers that were noted. Spot urine PCR was calculated, and urinary microalbumin was quantified using an immunoturbidimetric technique. The CKD-EPI equation was used to determine the estimated glomerular filtration rate (eGFR). To evaluate renal involvement, derived renal indices such as the urine APR, ACR, albumin/eGFR index, and protein/eGFR index were computed. Associations between renal indices and clinical parameters were assessed using multivariable regression analysis and Pearson correlation, with statistical significance established at p < 0.05. Results Of the 150 individuals, 21.3% had macroalbuminuria, 38.7% microalbuminuria, and 40.0% had normoalbuminuria. As albuminuria worsened, PCR, APR, ACR/eGFR, PCR/eGFR, and renal risk score all significantly increased while eGFR decreased (p < 0.001). PCR and microalbuminuria had a significant positive connection (r = 0.72, p < 0.001). Renal impairment was substantially correlated with HbA1c, length of diabetes, hypertension, and BMI. HbA1c and PCR were found to be independent predictors of diabetic nephropathy using multivariable regression. Conclusion In individuals with T2DM, PCR and derived renal indices showed strong correlations with renal involvement and could be helpful supplements to traditional indicators for evaluating diabetic nephropathy.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2026-07-26
DOI
https://doi.org/10.7759/cureus.113393
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of Microalbuminuria, Protein-Creatinine Ratio, and Derived Renal Risk Indices in Patients With Type 2 Diabetes Mellitus in a South Indian Population: A Cross-Sectional Study

Sridurga Mattyvanan, Divya L C, Jaiprabu J
Cureus
Chronic Kidney Disease and Diabetes
article

Association of Microalbuminuria, Protein-Creatinine Ratio, and Derived Renal Risk Indices in Patients With Type 2 Diabetes Mellitus in a South Indian Population: A Cross-Sectional Study

Sridurga Mattyvanan, Divya L C, Jaiprabu J
article en

Abstract

Background One of the main causes of end-stage renal disease and chronic kidney disease (CKD) in people with type 2 diabetes mellitus (T2DM) is diabetic nephropathy. The clinical value of the protein-creatinine ratio (PCR) and derived renal risk indices for comprehensive renal risk assessment has not been adequately investigated, despite microalbuminuria being a recognised indicator of early renal injury. Derived renal risk markers (novel renal indices, including the albumin-protein ratio (APR), albumin-creatinine ratio (ACR)/eGFR index (ACR/eGFR), protein/eGFR index (PCR/eGFR), and a composite renal risk score (RRS)) were calculated to comprehensively assess proteinuria relative to renal function and estimate the severity of renal impairment. Methods A one-year hospital-based cross-sectional study from January 2025 to January 2026 was conducted among 150 adults with T2DM individuals with T2DM who were enrolled in Vinayaka Mission Medical College & Hospital, Karaikal, and participated in the cross-sectional study. Blood pressure, body mass index (BMI), serum creatinine, HbA1c, and length of diabetes were among the clinical and biochemical markers that were noted. Spot urine PCR was calculated, and urinary microalbumin was quantified using an immunoturbidimetric technique. The CKD-EPI equation was used to determine the estimated glomerular filtration rate (eGFR). To evaluate renal involvement, derived renal indices such as the urine APR, ACR, albumin/eGFR index, and protein/eGFR index were computed. Associations between renal indices and clinical parameters were assessed using multivariable regression analysis and Pearson correlation, with statistical significance established at p < 0.05. Results Of the 150 individuals, 21.3% had macroalbuminuria, 38.7% microalbuminuria, and 40.0% had normoalbuminuria. As albuminuria worsened, PCR, APR, ACR/eGFR, PCR/eGFR, and renal risk score all significantly increased while eGFR decreased (p < 0.001). PCR and microalbuminuria had a significant positive connection (r = 0.72, p < 0.001). Renal impairment was substantially correlated with HbA1c, length of diabetes, hypertension, and BMI. HbA1c and PCR were found to be independent predictors of diabetic nephropathy using multivariable regression. Conclusion In individuals with T2DM, PCR and derived renal indices showed strong correlations with renal involvement and could be helpful supplements to traditional indicators for evaluating diabetic nephropathy.

Cureus
Vinayaka Missions University (IN)
Good health and well-being
Openalex Percentile: Top 9%
Chronic Kidney Disease and Diabetes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.