Ebers Papyrus · Aug 13, 2026

CORRELATION BETWEEN LIPID PROFILE, URIC ACID, HBA1C, HEMOGLOBIN, AND BLOOD GLUCOSE WITH RENAL FILTRATION RATE IN THE ELDERLY POPULATION OF HANA NURSING HOME

By Johan, Santoso AH, Kurniawan J

INTRODUCTION: The elderly population continues to increase globally, accompanied by an increased prevalence of non-communicable diseases such as diabetes, dyslipidemia, hyperuricemia, anemia, and chronic kidney disease (CKD). These factors are known to be interrelated and can affect kidney function. This study aims to evaluate the relationship between lipid profile, diabetes parameters, uric acid, and hemoglobin on glomerular filtration rate in the elderly population. METHODS: This study was a cross-sectional observational study conducted on elderly individuals aged ≥60 years at Hana Nursing Home (December 2024–April 2025), using a purposive sampling method. Data were obtained from fasting venous blood tests, including lipid profile, HbA1c, glucose, hemoglobin, uric acid, and creatinine. Correlation analysis used the Spearman test with a significance of p < 0.05 and a power of 80%. RESULTS: A total of 76 elderly individuals with a mean age of 78.88 years were studied, the majority being female (80.3%). The mean eGFR of 69.29 mL/min/1.73m² indicated decreased kidney function. There was a significant correlation between total cholesterol and LDL with eGFR (positive) and creatinine (negative), while uric acid correlated negatively with eGFR. Hemoglobin showed a significant positive correlation with kidney function. CONCLUSIONS: Lipid profile, hemoglobin, and uric acid showed significant correlations with kidney function in the elderly. These findings highlight the importance of evaluating biochemical parameters as early indicators of declining kidney function in efforts toward early detection and intervention of kidney disease in the elderly population.

doi.org/10.24912/ep.v32i1.35081Open accessBiomarkers

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