Evidence map›Paper›PMID 26085876›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada

Nomogram to predict uric acid kidney stones based on patient's age, BMI and 24-hour urine profiles: A multicentre validation.

Fabio Cesar Miranda Torricelli, Robert Brown, Fernanda C G Berto, Sarah Tarplin, Miguel Srougi, Eduardo Mazzucchi, Manoj Monga

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Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CUA guideline on the evaluation and medical management of the kidney stone patient - 2016 update.Canadian Urological Association journal = Journal de l'Association des urologues du Canada
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fabio Cesar Miranda TorricelliDepartment of Urology, University of Sao Paulo Medical School, Sao Paulo, Brazil;
Robert BrownDepartment of Urology, The Cleveland Clinic, Cleveland, OH.
Fernanda C G BertoDepartment of Urology, University of Sao Paulo Medical School, Sao Paulo, Brazil;
Sarah TarplinDepartment of Urology, The Cleveland Clinic, Cleveland, OH.
Miguel SrougiDepartment of Urology, University of Sao Paulo Medical School, Sao Paulo, Brazil;
Eduardo MazzucchiDepartment of Urology, University of Sao Paulo Medical School, Sao Paulo, Brazil;
Manoj MongaDepartment of Urology, The Cleveland Clinic, Cleveland, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe performed a multicentre validation of a nomogram to predict uric acid kidney stones in two populations.

methodsWe reviewed the kidney stone database of two institutions, searching for patients with kidney stones who had stone composition analysis and 24-hour urine collection from January 2010 to December 2013. A nomogram to predict uric acid kidneys stones based on patient age, body mass index (BMI), and 24-hour urine collection was tested. Receiver-operating curves (ROC) were performed.

resultsWe identified 445 patients, 355 from Cleveland, United States, and 90 from Sao Paulo, Brazil. Uric acid stone formers were 7.9% and 8.9%, respectively. Uric acid patients had a significantly higher age and BMI, as well as significant lower urinary calcium than calcium stone formers in both populations. Uric acid had significantly higher total points when scored according to the nomogram. ROC curves showed an area under the curve of 0.8 for Cleveland and 0.92 for Sao Paulo. The cutoff value that provided the highest sensitivity and specificity was 179 points and 192 for Cleveland and Sao Paulo, respectively. Using 180 points as a cutoff provided a sensitivity and specificity of 87.5% and 68% for Cleveland, and 100% and 42% for Sao Paulo. Higher cutoffs were associated with higher specificity. The main limitation of this study is that only patients from high volume hospitals with uric acid or calcium stones were included.

conclusionPredicting uric acid kidneys stone based on a nomogram, which includes only demographic data and 24-hour urine parameters, is feasible with a high degree of accuracy.

Identifiers

PMID26085876
PMCPMC4455636

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