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Protocol-based metabolic evaluation in high-risk patients with renal stones in North India

CONTEXT: Renal calculus disease has a lifetime recurrence rate of 80%. Protocol-based metabolic evaluation in high-risk subjects for recurrent renal stones reveals abnormalities in a large subset of subjects. However, such information is not available in Indian subjects. AIMS: To evaluate the abnorm...

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Autores principales: Julka, Sandeep, Gupta, Sushil Kumar, Srivastava, Aneesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313750/
https://www.ncbi.nlm.nih.gov/pubmed/22470869
http://dx.doi.org/10.4103/2230-8210.93754
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author Julka, Sandeep
Gupta, Sushil Kumar
Srivastava, Aneesh
author_facet Julka, Sandeep
Gupta, Sushil Kumar
Srivastava, Aneesh
author_sort Julka, Sandeep
collection PubMed
description CONTEXT: Renal calculus disease has a lifetime recurrence rate of 80%. Protocol-based metabolic evaluation in high-risk subjects for recurrent renal stones reveals abnormalities in a large subset of subjects. However, such information is not available in Indian subjects. AIMS: To evaluate the abnormalities by a protocol-based metabolic evaluation in patients at a high risk for recurrent renal stones. SETTINGS AND DESIGN: Prospective, academic tertiary care center. MATERIALS AND METHODS: Fifty North Indian patients (38 males and 12 females; mean age 38 ± 10.2 years) with recurrent or bilateral renal stones were evaluated. All subjects underwent a protocol-based evaluation involving estimation of serum total calcium, phosphorus, creatinine, albumin, iPTH, 25(OH)D(3), 1,25(OH)(2)D(3), and a calcium load test. Estimation of daily urinary excretion of volume, oxalate, calcium, uric acid, and citrate, and urinary acidification studies were performed. STATISTICAL ANALYSIS USED: Descriptive statistics and t-test. RESULTS: An underlying disorder was detected in 48 (96%) patients. Almost half had two or more metabolic abnormalities. The metabolic abnormalities detected were: Hypercalciuria 26 (52%) patients, renal hypercalciuria 16 (32%), absorptive hypercalciuria 6 (12%), unclassified hypercalciuria 4 (8%), hyperoxaluria 27 (54%), hyperuricosuria 9 (18%), distal renal tubular acidosis 4 (8%; 2 complete and 2 partial), primary hyperparathyroidism 3 (6%), and hypocitraturia 14 (n=18, 77%). In two patients, the etiology could not be detected. CONCLUSIONS: Protocol-based metabolic evaluation reveals metabolic abnormalities in majority of patients with nephrolithiasis. The spectrums of metabolic abnormalities are different in Indian subjects as compared to the western population.
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spelling pubmed-33137502012-04-02 Protocol-based metabolic evaluation in high-risk patients with renal stones in North India Julka, Sandeep Gupta, Sushil Kumar Srivastava, Aneesh Indian J Endocrinol Metab Original Article CONTEXT: Renal calculus disease has a lifetime recurrence rate of 80%. Protocol-based metabolic evaluation in high-risk subjects for recurrent renal stones reveals abnormalities in a large subset of subjects. However, such information is not available in Indian subjects. AIMS: To evaluate the abnormalities by a protocol-based metabolic evaluation in patients at a high risk for recurrent renal stones. SETTINGS AND DESIGN: Prospective, academic tertiary care center. MATERIALS AND METHODS: Fifty North Indian patients (38 males and 12 females; mean age 38 ± 10.2 years) with recurrent or bilateral renal stones were evaluated. All subjects underwent a protocol-based evaluation involving estimation of serum total calcium, phosphorus, creatinine, albumin, iPTH, 25(OH)D(3), 1,25(OH)(2)D(3), and a calcium load test. Estimation of daily urinary excretion of volume, oxalate, calcium, uric acid, and citrate, and urinary acidification studies were performed. STATISTICAL ANALYSIS USED: Descriptive statistics and t-test. RESULTS: An underlying disorder was detected in 48 (96%) patients. Almost half had two or more metabolic abnormalities. The metabolic abnormalities detected were: Hypercalciuria 26 (52%) patients, renal hypercalciuria 16 (32%), absorptive hypercalciuria 6 (12%), unclassified hypercalciuria 4 (8%), hyperoxaluria 27 (54%), hyperuricosuria 9 (18%), distal renal tubular acidosis 4 (8%; 2 complete and 2 partial), primary hyperparathyroidism 3 (6%), and hypocitraturia 14 (n=18, 77%). In two patients, the etiology could not be detected. CONCLUSIONS: Protocol-based metabolic evaluation reveals metabolic abnormalities in majority of patients with nephrolithiasis. The spectrums of metabolic abnormalities are different in Indian subjects as compared to the western population. Medknow Publications & Media Pvt Ltd 2012 /pmc/articles/PMC3313750/ /pubmed/22470869 http://dx.doi.org/10.4103/2230-8210.93754 Text en Copyright: © Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Julka, Sandeep
Gupta, Sushil Kumar
Srivastava, Aneesh
Protocol-based metabolic evaluation in high-risk patients with renal stones in North India
title Protocol-based metabolic evaluation in high-risk patients with renal stones in North India
title_full Protocol-based metabolic evaluation in high-risk patients with renal stones in North India
title_fullStr Protocol-based metabolic evaluation in high-risk patients with renal stones in North India
title_full_unstemmed Protocol-based metabolic evaluation in high-risk patients with renal stones in North India
title_short Protocol-based metabolic evaluation in high-risk patients with renal stones in North India
title_sort protocol-based metabolic evaluation in high-risk patients with renal stones in north india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313750/
https://www.ncbi.nlm.nih.gov/pubmed/22470869
http://dx.doi.org/10.4103/2230-8210.93754
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