Literature DB >> 28916274

Do Urinary Cystine Parameters Predict Clinical Stone Activity?

Justin I Friedlander1, Jodi A Antonelli1, Noah E Canvasser1, Monica S C Morgan1, Daniel Mollengarden1, Sara Best2, Margaret S Pearle3.   

Abstract

PURPOSE: An accurate urinary predictor of stone recurrence would be clinically advantageous for patients with cystinuria. A proprietary assay (Litholink, Chicago, Illinois) measures cystine capacity as a potentially more reliable estimate of stone forming propensity. The recommended capacity level to prevent stone formation, which is greater than 150 mg/l, has not been directly correlated with clinical stone activity. We investigated the relationship between urinary cystine parameters and clinical stone activity.
MATERIALS AND METHODS: We prospectively followed 48 patients with cystinuria using 24-hour urine collections and serial imaging, and recorded stone activity. We compared cystine urinary parameters at times of stone activity with those obtained during periods of stone quiescence. We then performed correlation and ROC analysis to evaluate the performance of cystine parameters to predict stone activity.
RESULTS: During a median followup of 70.6 months (range 2.2 to 274.6) 85 stone events occurred which could be linked to a recent urine collection. Cystine capacity was significantly greater for quiescent urine than for stone event urine (mean ± SD 48 ± 107 vs -38 ± 163 mg/l, p <0.001). Cystine capacity significantly correlated inversely with stone activity (r = -0.29, p <0.001). Capacity also correlated highly negatively with supersaturation (r = -0.88, p <0.001) and concentration (r = -0.87, p <0.001). Using the suggested cutoff of greater than 150 mg/l had only 8.0% sensitivity to predict stone quiescence. Decreasing the cutoff to 90 mg/l or greater improved sensitivity to 25.2% while maintaining specificity at 90.9%.
CONCLUSIONS: Our results suggest that the target for capacity should be lower than previously advised.
Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  analysis; cystinuria; kidney calculi; recurrence; urine

Mesh:

Year:  2017        PMID: 28916274     DOI: 10.1016/j.juro.2017.09.034

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  5 in total

1.  Stones: Predicting stone episodes using cystine capacity.

Authors:  Matthew Bultitude; Kay Thomas
Journal:  Nat Rev Urol       Date:  2017-11-14       Impact factor: 14.432

2.  Evaluation and Medical Management of Patients with Cystine Nephrolithiasis: A Consensus Statement.

Authors:  Brian H Eisner; David S Goldfarb; Michelle A Baum; Craig B Langman; Gary C Curhan; Glenn M Preminger; John C Lieske; Gyan Pareek; Kay Thomas; Anna L Zisman; Dimitri Papagiannopoulos; Roger L Sur
Journal:  J Endourol       Date:  2020-04-06       Impact factor: 2.942

3.  Effect of increasing doses of cystine-binding thiol drugs on cystine capacity in patients with cystinuria.

Authors:  Deepa A Malieckal; Frank Modersitzki; Kristin Mara; Felicity T Enders; John R Asplin; David S Goldfarb
Journal:  Urolithiasis       Date:  2019-04-13       Impact factor: 3.436

4.  Accurate 24-h urine cystine quantification for patients on cystine-binding thiol drugs.

Authors:  Charles C Mikel; David S Goldfarb; Amy Ponte; Katherine Steigelman; Sergey Latyshev
Journal:  Urolithiasis       Date:  2022-10-06       Impact factor: 2.861

5.  Cystinuria: An Overview of Diagnosis and Medical Management.

Authors:  Sanober Sadiq; Onur Cil
Journal:  Turk Arch Pediatr       Date:  2022-07
  5 in total

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