Please use this identifier to cite or link to this item: https://doi.org/10.1053/j.jrn.2012.12.004
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dc.titleSpot urine tests in predicting 24-hour urine sodium excretion in asian patients
dc.contributor.authorSubramanian, S.
dc.contributor.authorTeo, B.W.
dc.contributor.authorToh, Q.C.
dc.contributor.authorKoh, Y.Y.
dc.contributor.authorLi, J.
dc.contributor.authorSethi, S.
dc.contributor.authorLee, E.J.C.
dc.date.accessioned2014-10-28T05:15:25Z
dc.date.available2014-10-28T05:15:25Z
dc.date.issued2013-11
dc.identifier.citationSubramanian, S., Teo, B.W., Toh, Q.C., Koh, Y.Y., Li, J., Sethi, S., Lee, E.J.C. (2013-11). Spot urine tests in predicting 24-hour urine sodium excretion in asian patients. Journal of Renal Nutrition 23 (6) : 450-455. ScholarBank@NUS Repository. https://doi.org/10.1053/j.jrn.2012.12.004
dc.identifier.issn10512276
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105386
dc.description.abstractObjective: The control of hypertension is often suboptimal, and it is frequently due to excessive sodium intake. Monitoring sodium intake is cumbersome and involves 24-hour collection of urine. We hypothesize that a spot urine test can accurately predict 24-hour urine sodium excretion in an Asian population. Design: This is a prospective, observational study. We used stored urine specimens (n = 333) from the Asian Kidney Disease Study and Singapore Kidney Function Study Phase I. We measured spot urine tests and correlated these variables to the previously measured 24-hour urine sodium measurements. Results: Age, gender, ethnicity, diastolic blood pressure, height, weight, body mass index, serum creatinine, spot urine sodium, spot urine chloride, and spot urine osmolality were associated with 24-hour urine sodium excretion. The final model for predicting 24-hour urine sodium less than 100 mmol included age, gender, ethnicity, weight, and spot urine sodium. Conclusion: Spot urine sodium can help monitor a patient's sodium intake when used in the derived 5-variable equation. © 2013 National Kidney Foundation, Inc.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1053/j.jrn.2012.12.004
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1053/j.jrn.2012.12.004
dc.description.sourcetitleJournal of Renal Nutrition
dc.description.volume23
dc.description.issue6
dc.description.page450-455
dc.identifier.isiut000327007600012
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