Renal and Metabolic Biomarker Profiles in Dialysis vs. Non-Dialysis CKD Patients: A Cross-Sectional Study

This study investigated key renal and biochemical parameters in Chronic Kidney Disease (CKD) patients by comparing a cohort of 147 non-dialysis patients with 147 patients undergoing dialysis. Key findings indicate that while both groups exhibited elevated urea and creatinine levels, urea was lower in dialysis patients, whereas creatinine was significantly higher. Blood pressure was minimally increased in both groups, but was higher in the non-dialysis cohort. Uric acid levels were notably lower in patients on dialysis. Regarding electrolytes, potassium levels were higher in the dialysis group, while sodium levels remained normal and stable across both cohorts. Serum phosphorus was elevated in both groups, with slightly higher levels in non-dialysis patients. A significant difference was observed in serum calcium, which was normal in non-dialysis patients but below the normal range in the dialysis group. Both groups also showed elevated fasting blood sugar. As expected, Glomerular Filtration Rate (GFR) was sharply decreased in all patients, most severely in the dialysis group, consistent with end-stage renal disease. The results underscore the profound metabolic and physiological changes in CKD patients. The study concludes that enhancing dialysis efficiency and providing comprehensive patient education on medication, diet, and lifestyle are critical for improving quality of life, reducing complications, and lowering healthcare costs associated with CKD management.

Authors

Institutions

Publication Details

Journal
Attahadi Medical Journal
Published
2025-10-18
DOI
https://doi.org/10.69667/amj.25402
Primary Topic
Dialysis and Renal Disease Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Renal and Metabolic Biomarker Profiles in Dialysis vs. Non-Dialysis CKD Patients: A Cross-Sectional Study

Adel Mahfoud, Assia Ramdan
Attahadi Medical Journal
Dialysis and Renal Disease Management
article

Renal and Metabolic Biomarker Profiles in Dialysis vs. Non-Dialysis CKD Patients: A Cross-Sectional Study

Adel Mahfoud, Assia Ramdan
article en

Abstract

This study investigated key renal and biochemical parameters in Chronic Kidney Disease (CKD) patients by comparing a cohort of 147 non-dialysis patients with 147 patients undergoing dialysis. Key findings indicate that while both groups exhibited elevated urea and creatinine levels, urea was lower in dialysis patients, whereas creatinine was significantly higher. Blood pressure was minimally increased in both groups, but was higher in the non-dialysis cohort. Uric acid levels were notably lower in patients on dialysis. Regarding electrolytes, potassium levels were higher in the dialysis group, while sodium levels remained normal and stable across both cohorts. Serum phosphorus was elevated in both groups, with slightly higher levels in non-dialysis patients. A significant difference was observed in serum calcium, which was normal in non-dialysis patients but below the normal range in the dialysis group. Both groups also showed elevated fasting blood sugar. As expected, Glomerular Filtration Rate (GFR) was sharply decreased in all patients, most severely in the dialysis group, consistent with end-stage renal disease. The results underscore the profound metabolic and physiological changes in CKD patients. The study concludes that enhancing dialysis efficiency and providing comprehensive patient education on medication, diet, and lifestyle are critical for improving quality of life, reducing complications, and lowering healthcare costs associated with CKD management.

Attahadi Medical Journal
Al Zawiya University (LY)
Openalex Percentile: Top 69%
Dialysis and Renal Disease Management
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.