ASSOCIATION OF SERUM URIC ACID WITH RENAL FUNCTION IN PATIENTS WITH CHRONIC KIDNEY DISEASE

Background: Chronic kidney disease (CKD) occurs due to progressive decline of renal functions. This results inaccumulation of metabolic waste products including uric acid. Serum uric acid tends to progressively worsens renalfunctions. However, there is a lack of clarity with the nature and clinical significance between serum uric acid and renalfunctions. This study was aimed to evaluate the association between serum uric acid and renal functions in patients withCKD. Materials and Methods: This cross-sectional study was done on n=55 adult patients with a diagnosis of CKD in atertiary care hospital. Demographic and clinical parameters were collected, and the serum uric acid, serum creatinine, serumurea and haemoglobin was estimated. Renal function was evaluated by eGFR and patients were classified into five stages ofCKD (CKD) based on these values (there are no G1 or G2 patients in your study). The patients categorized into two groupsone with normal serum uric acid levels and second hyperuricemia patients. Pearson correlation method was used to examinethe correlation between serum uric acid and renal function parameters. Data were compared between groups usingappropriate statistical tests and values of p<0.05 were taken as significant. Results: The mean age of the study populationwas 58.4 ± 12.7 years, and 32 (58.2%) were males. Sixty-nine percent of patients had hypertension, while 56.4% werediabetic. The highest prevalence was for stage G4 CKD (32.7%). Serum uric acid increased progressively from 6.2 ± 1.1mg/dL in Stage G3a to 9.7 ± 1.8 mg/dL in Stage G5 (p<0.001). Serum uric acid level was significantly and negativelyassociated with eGFR (r = −0.62, p<0.001) and positively correlated with serum creatinine (r = 0.58, p<0.001) and serumurea (r = 0.51, p<0.001). Patients with hyperuricemia had significantly lower eGFR than those with normal uric acid levels(25.8 ± 10.5 vs. 42.5 ± 14.2 mL/min/1.73 m²; p<0.001) and significantly higher serum creatinine (4.2 ± 1.6 vs. 2.1 ± 0.8mg/dL; p<0.001). Conclusion: In patients with renal dysfunction, serum uric acid level was significantly related to theseverity of renal dysfunction in the patients with renal dysfunction. A positive correlation was seen between uric acid and theserum creatinine, serum urea and negative correlation was seen between uric acid and eGFR. The uric acid level was foundto be positive correlated with serum creatinine, serum urea and negative correlated with eGFR. Serum uric acid could thus bea useful indicator of renal impairment, but further studies would be necessary to assess its prognostic value.

Authors

Publication Details

Journal
Advances in Clinical Medical Research
Published
2026-09-12
DOI
https://doi.org/10.5281/zenodo.22726432
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

ASSOCIATION OF SERUM URIC ACID WITH RENAL FUNCTION IN PATIENTS WITH CHRONIC KIDNEY DISEASE

Pranoy Gadi, Mohammed Khaja Mohiuddin, G Yashwanth Reddy
Advances in Clinical Medical Research
Gout, Hyperuricemia, Uric Acid
article

ASSOCIATION OF SERUM URIC ACID WITH RENAL FUNCTION IN PATIENTS WITH CHRONIC KIDNEY DISEASE

Pranoy Gadi, Mohammed Khaja Mohiuddin, G Yashwanth Reddy
article en

Abstract

Background: Chronic kidney disease (CKD) occurs due to progressive decline of renal functions. This results inaccumulation of metabolic waste products including uric acid. Serum uric acid tends to progressively worsens renalfunctions. However, there is a lack of clarity with the nature and clinical significance between serum uric acid and renalfunctions. This study was aimed to evaluate the association between serum uric acid and renal functions in patients withCKD. Materials and Methods: This cross-sectional study was done on n=55 adult patients with a diagnosis of CKD in atertiary care hospital. Demographic and clinical parameters were collected, and the serum uric acid, serum creatinine, serumurea and haemoglobin was estimated. Renal function was evaluated by eGFR and patients were classified into five stages ofCKD (CKD) based on these values (there are no G1 or G2 patients in your study). The patients categorized into two groupsone with normal serum uric acid levels and second hyperuricemia patients. Pearson correlation method was used to examinethe correlation between serum uric acid and renal function parameters. Data were compared between groups usingappropriate statistical tests and values of p<0.05 were taken as significant. Results: The mean age of the study populationwas 58.4 ± 12.7 years, and 32 (58.2%) were males. Sixty-nine percent of patients had hypertension, while 56.4% werediabetic. The highest prevalence was for stage G4 CKD (32.7%). Serum uric acid increased progressively from 6.2 ± 1.1mg/dL in Stage G3a to 9.7 ± 1.8 mg/dL in Stage G5 (p<0.001). Serum uric acid level was significantly and negativelyassociated with eGFR (r = −0.62, p<0.001) and positively correlated with serum creatinine (r = 0.58, p<0.001) and serumurea (r = 0.51, p<0.001). Patients with hyperuricemia had significantly lower eGFR than those with normal uric acid levels(25.8 ± 10.5 vs. 42.5 ± 14.2 mL/min/1.73 m²; p<0.001) and significantly higher serum creatinine (4.2 ± 1.6 vs. 2.1 ± 0.8mg/dL; p<0.001). Conclusion: In patients with renal dysfunction, serum uric acid level was significantly related to theseverity of renal dysfunction in the patients with renal dysfunction. A positive correlation was seen between uric acid and theserum creatinine, serum urea and negative correlation was seen between uric acid and eGFR. The uric acid level was foundto be positive correlated with serum creatinine, serum urea and negative correlated with eGFR. Serum uric acid could thus bea useful indicator of renal impairment, but further studies would be necessary to assess its prognostic value.

Advances in Clinical Medical Research
Clean water and sanitation
Openalex Percentile: Top 10%
Gout, Hyperuricemia, Uric Acid
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.