Metabolic Differences in 24-Hour Urine Parameters Between Calcium Oxalate Monohydrate and Dihydrate Kidney Stones: A Clinical Study

<b>Background:</b> Different types of kidney stones are associated with distinct changes in urine chemistry. <b>Methods:</b> We assessed urinary parameters of 98 patients with calcium oxalate (CaOx) stones one month following endoscopic stone removal. The 24 h urine analysis encompassed the assessment of various parameters, including volume, sodium, chloride, sulfate, nitrate, fluoride, phosphate, calcium, potassium, magnesium, oxalate, uric acid, citrate, creatinine, and pH levels. <b>Results:</b> Hypocitraturia was the most prevalent urinary abnormality (61.2%, <i>n</i> = 63), followed by low urine volume (53%, <i>n</i> = 52) and hypercalciuria (50%, <i>n</i> = 49). We did not find any statistically significant differences between patients with whewellite (COM) (<i>n</i> = 69) and weddellite (COD) stones (<i>n</i> = 29) (<i>p</i> > 0.05). However, oxalate concentration was the only parameter with a statistically significant intergroup difference (<i>p</i> = 0.0297). Additionally, in univariate linear regression analysis, urinary phosphate levels ≥ 48.0 mmol/d showed a trend towards significance (OR 0.17, 95% CI 0.02-1.15, <i>p</i> = 0.0692), indicating that phosphaturia is associated with a significant increase in the odds ratio of COD stones. To further explore metabolic heterogeneity among stone formers, we conducted cluster analysis, which revealed three distinct metabolic subgroups. Cluster 1 was predominantly associated with COM stones (80.5%) and exhibited significantly higher urinary excretion of sodium, calcium, oxalate, phosphate, and uric acid compared to Cluster 2, which had a more balanced distribution of monohydrate and dihydrate stones. <b>Conclusions:</b> These findings suggest that a specific metabolic phenotype may be linked to COM stone formation, providing a framework for risk stratification and personalized prevention strategies in calcium oxalate stone formers.

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Publication Details

Journal
Diagnostics
Published
2025-04-14
DOI
https://doi.org/10.3390/diagnostics15080994
Citations
6
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
9.11

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article

Metabolic Differences in 24-Hour Urine Parameters Between Calcium Oxalate Monohydrate and Dihydrate Kidney Stones: A Clinical Study

Vineet Gauhar, Г. Г. Родионов, Guohua Zeng, V. A. Gelig et al.
6 citations
Diagnostics
Kidney Stones and Urolithiasis Treatments
9.11
article

Metabolic Differences in 24-Hour Urine Parameters Between Calcium Oxalate Monohydrate and Dihydrate Kidney Stones: A Clinical Study

Vineet Gauhar, Г. Г. Родионов, Guohua Zeng, V. A. Gelig, Nariman K. Gadzhiev
article en
6 citations

Abstract

<b>Background:</b> Different types of kidney stones are associated with distinct changes in urine chemistry. <b>Methods:</b> We assessed urinary parameters of 98 patients with calcium oxalate (CaOx) stones one month following endoscopic stone removal. The 24 h urine analysis encompassed the assessment of various parameters, including volume, sodium, chloride, sulfate, nitrate, fluoride, phosphate, calcium, potassium, magnesium, oxalate, uric acid, citrate, creatinine, and pH levels. <b>Results:</b> Hypocitraturia was the most prevalent urinary abnormality (61.2%, <i>n</i> = 63), followed by low urine volume (53%, <i>n</i> = 52) and hypercalciuria (50%, <i>n</i> = 49). We did not find any statistically significant differences between patients with whewellite (COM) (<i>n</i> = 69) and weddellite (COD) stones (<i>n</i> = 29) (<i>p</i> > 0.05). However, oxalate concentration was the only parameter with a statistically significant intergroup difference (<i>p</i> = 0.0297). Additionally, in univariate linear regression analysis, urinary phosphate levels ≥ 48.0 mmol/d showed a trend towards significance (OR 0.17, 95% CI 0.02-1.15, <i>p</i> = 0.0692), indicating that phosphaturia is associated with a significant increase in the odds ratio of COD stones. To further explore metabolic heterogeneity among stone formers, we conducted cluster analysis, which revealed three distinct metabolic subgroups. Cluster 1 was predominantly associated with COM stones (80.5%) and exhibited significantly higher urinary excretion of sodium, calcium, oxalate, phosphate, and uric acid compared to Cluster 2, which had a more balanced distribution of monohydrate and dihydrate stones. <b>Conclusions:</b> These findings suggest that a specific metabolic phenotype may be linked to COM stone formation, providing a framework for risk stratification and personalized prevention strategies in calcium oxalate stone formers.

DiagnosticsVol. 15(8)
St Petersburg University (RU), Ng Teng Fong General Hospital (SG), First Affiliated Hospital of Guangzhou Medical University (CN), National University Health System (SG), Nikiforov Russian Center of Emergency and Radiation Medicine (RU), Guangzhou Medical University (CN)
Saint Petersburg State University
Openalex Percentile: Top 2%
Kidney Stones and Urolithiasis Treatments
9.11
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