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Updated: Dec 6, 2025

Estimation of Urinary Nanocrystals in Humans using Calcium Fluorophore Labeling and Nanoparticle Tracking Analysis
Published on: February 9, 2021
Comparison of Supersaturation Outputs from Different Programs and Their Application in Testing Correspondence with
Adrián Rodriguez1,2, Tamara da Silva Cunha3, Allen L Rodgers4
1U.O.C. Nefrologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italia.
Relative supersaturation (SS) calculations for calcium oxalate (CaOx), calcium phosphate (CaP), and uric acid (UA) using EQUIL, JESS, and Lithorisk programs showed high agreement. These programs accurately reflect urinary stone composition in patients.
Area of Science:
- Nephrology
- Urology
- Biochemistry
Background:
- Urinary stone formation is influenced by mineral supersaturation.
- Relative supersaturation (SS) is a key metric for assessing crystallization risk.
- Several computational programs estimate urinary SS, including EQUIL, JESS, and Lithorisk.
Purpose of the Study:
- To compare the outputs of EQUIL, JESS, and Lithorisk for calculating SS of calcium oxalate (CaOx), calcium phosphate (CaP), and uric acid (UA).
- To evaluate the correspondence between these SS estimations and the actual mineral composition of urinary stones.
- To assess the clinical applicability of SS in managing stone-forming patients.
Main Methods:
- SS for CaOx, CaP, and UA was calculated using EQUIL, JESS, and Lithorisk for 211 stone-forming patients.
- Pearson correlation coefficients were used to compare program outputs and their relation to stone composition.
- Fractional regression models assessed the relationship between SS and the percentage of specific compounds in stones.
Main Results:
- All three programs demonstrated high correspondence in SS calculations for CaOx (r ≥ 0.96), CaP (r ≥ 0.99), and UA (r ≥ 0.99).
- Significant correlations were found between CaOx SS and CaOx dihydrate percentage, and between CaP SS and brushite/apatite percentages in stones.
- Uric acid SS showed the strongest correlation with the percentage of UA in urinary stones (p < 0.001).
Conclusions:
- The study confirms good agreement among EQUIL, JESS, and Lithorisk in estimating urinary SS.
- The strong correspondence between estimated SS and stone composition supports the clinical utility of these calculations.
- These findings advocate for the application of SS estimations in routine clinical practice for stone management.
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