Formula to detect high sodium excretion from spot urine in chronic kidney disease patients

Abstract Introduction: Excessive sodium intake is related to adverse renal and cardiovascular outcomes in patients with chronic kidney disease (CKD) and assessment of sodium intake is complex and not evaluated very often in clinical practice. Objective: To develop a new formula to estimate 24h sodium excretion from urine sample (second void) of patients with CKD. Methods: We included 51 participants with CKD who provided 24-hour urine collection and a sample of the second urine of the day to determine the sodium excretion. A formula to estimate the 24-hour sodium excretion was developed from a multivariate regression equation coefficients. The accuracy of the formula was tested by calculating the P30 (proportion of estimates within 30% of measured sodium exection) and the ability of the formula to discriminate sodium intake higher than 3.6 g/day was evaluated by ROC curve. Results: Correlation test between measured and estimated sodium was significant (r = 0.57; p < 0.001), but P30 test identified a low accuracy (61%) of the formula. Different cutoff points were tested by performance tests and a ROC curve was generated with the cutoff that showed better performance (3.6 g/day). An area under the curve of 0.69 with a sensitivity of 0.91 and specificity of 0.53 was obtained. Conclusion: A simple formula with high sensitivity in detecting patients with sodium consumption higher than 3.6 g/day from isolated urine sample was developed. Studies with a higher number of participants and with different populations are necessary to test formula´s validity.

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Main Authors: Nerbass,Fabiana Baggio, Hallvass,Andrea Emanuela Chaud, Taal,Maarten W, Pecoits-Filho,Roberto
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Nefrologia 2017
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-28002017000100023
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spelling oai:scielo:S0101-280020170001000232017-03-22Formula to detect high sodium excretion from spot urine in chronic kidney disease patientsNerbass,Fabiana BaggioHallvass,Andrea Emanuela ChaudTaal,Maarten WPecoits-Filho,Roberto kidney failure, chronic sodium, dietary urine specimen collection Abstract Introduction: Excessive sodium intake is related to adverse renal and cardiovascular outcomes in patients with chronic kidney disease (CKD) and assessment of sodium intake is complex and not evaluated very often in clinical practice. Objective: To develop a new formula to estimate 24h sodium excretion from urine sample (second void) of patients with CKD. Methods: We included 51 participants with CKD who provided 24-hour urine collection and a sample of the second urine of the day to determine the sodium excretion. A formula to estimate the 24-hour sodium excretion was developed from a multivariate regression equation coefficients. The accuracy of the formula was tested by calculating the P30 (proportion of estimates within 30% of measured sodium exection) and the ability of the formula to discriminate sodium intake higher than 3.6 g/day was evaluated by ROC curve. Results: Correlation test between measured and estimated sodium was significant (r = 0.57; p < 0.001), but P30 test identified a low accuracy (61%) of the formula. Different cutoff points were tested by performance tests and a ROC curve was generated with the cutoff that showed better performance (3.6 g/day). An area under the curve of 0.69 with a sensitivity of 0.91 and specificity of 0.53 was obtained. Conclusion: A simple formula with high sensitivity in detecting patients with sodium consumption higher than 3.6 g/day from isolated urine sample was developed. Studies with a higher number of participants and with different populations are necessary to test formula´s validity.info:eu-repo/semantics/openAccessSociedade Brasileira de NefrologiaBrazilian Journal of Nephrology v.39 n.1 20172017-03-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-28002017000100023en10.5935/0101-2800.20170004
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
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author Nerbass,Fabiana Baggio
Hallvass,Andrea Emanuela Chaud
Taal,Maarten W
Pecoits-Filho,Roberto
spellingShingle Nerbass,Fabiana Baggio
Hallvass,Andrea Emanuela Chaud
Taal,Maarten W
Pecoits-Filho,Roberto
Formula to detect high sodium excretion from spot urine in chronic kidney disease patients
author_facet Nerbass,Fabiana Baggio
Hallvass,Andrea Emanuela Chaud
Taal,Maarten W
Pecoits-Filho,Roberto
author_sort Nerbass,Fabiana Baggio
title Formula to detect high sodium excretion from spot urine in chronic kidney disease patients
title_short Formula to detect high sodium excretion from spot urine in chronic kidney disease patients
title_full Formula to detect high sodium excretion from spot urine in chronic kidney disease patients
title_fullStr Formula to detect high sodium excretion from spot urine in chronic kidney disease patients
title_full_unstemmed Formula to detect high sodium excretion from spot urine in chronic kidney disease patients
title_sort formula to detect high sodium excretion from spot urine in chronic kidney disease patients
description Abstract Introduction: Excessive sodium intake is related to adverse renal and cardiovascular outcomes in patients with chronic kidney disease (CKD) and assessment of sodium intake is complex and not evaluated very often in clinical practice. Objective: To develop a new formula to estimate 24h sodium excretion from urine sample (second void) of patients with CKD. Methods: We included 51 participants with CKD who provided 24-hour urine collection and a sample of the second urine of the day to determine the sodium excretion. A formula to estimate the 24-hour sodium excretion was developed from a multivariate regression equation coefficients. The accuracy of the formula was tested by calculating the P30 (proportion of estimates within 30% of measured sodium exection) and the ability of the formula to discriminate sodium intake higher than 3.6 g/day was evaluated by ROC curve. Results: Correlation test between measured and estimated sodium was significant (r = 0.57; p < 0.001), but P30 test identified a low accuracy (61%) of the formula. Different cutoff points were tested by performance tests and a ROC curve was generated with the cutoff that showed better performance (3.6 g/day). An area under the curve of 0.69 with a sensitivity of 0.91 and specificity of 0.53 was obtained. Conclusion: A simple formula with high sensitivity in detecting patients with sodium consumption higher than 3.6 g/day from isolated urine sample was developed. Studies with a higher number of participants and with different populations are necessary to test formula´s validity.
publisher Sociedade Brasileira de Nefrologia
publishDate 2017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-28002017000100023
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AT taalmaartenw formulatodetecthighsodiumexcretionfromspoturineinchronickidneydiseasepatients
AT pecoitsfilhoroberto formulatodetecthighsodiumexcretionfromspoturineinchronickidneydiseasepatients
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