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Relationship between timed and spot urine collections for measuring phosphate excretion

  • Nephrology - Original Paper
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Abstract

Background

Twenty-four hour urinary phosphate excretion (UPE) reflects intestinal phosphate absorption in steady state and may be more informative than serum phosphate (sPi) when assessing phosphate homoeostasis clinically. Timed urine collections are cumbersome and prone to collection errors. Spot urine phosphate/creatinine ratio (uPiCr) may be a useful, simple surrogate for 24-h UPE, but requires further validation. This study aimed to determine the relationship between uPiCr and 24-h UPE.

Methods

This single-centre cross-sectional study examined contemporaneous serum, spot urine and 24-h urine. Serum biochemistry was analysed. Urine phosphate concentration (uPi) and creatinine concentration (uCr) were measured in spot and 24-h urine collections. Spearman’s rank correlation coefficients and Bland–Altman plots were used to assess agreement between spot uPiCr and UPE. Backward multivariate analysis was undertaken for UPE prediction.

Results

One hundred and sixteen participants (77 with kidney disease and 39 healthy volunteers) were studied. Seventy-four (63.8 %) were male. Median (IQR) age was 61(49–71) years. Median (IQR) spot uPiCr and total UPE were 1.7 (1.3–2.2) mmol/mmol and 25.8 (19.9–35.0) mmol/d, respectively. There was no correlation between spot uPiCr and 24-h UPE (R = 0.064, P = 0.51) but spot uPi significantly correlated with 24-h UPE (R = 0.385, P < 0.001). Although spot and 24-h measures of phosphate handling correlated (all P < 0.001), Bland–Altman analysis revealed bias between collection techniques. UPE prediction model using the independent variables of eGFR, sPi, albumin and spot uPi provided R 2 = 0.443.

Conclusion

No direct correlation was noted between spot uPiCr and 24-h UPE. Normalization of uPi to uCr on spot urine samples may be inappropriate when evaluating urinary phosphate excretion in adults and thus, a spot uPiCr is not a suitable surrogate for measuring UPE. A UPE prediction model utilising spot urine biochemistry cannot be advocated at present.

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References

  1. Berndt T, Kumar R (2007) Phosphatonins and the regulation of phosphate homeostasis. Annu Rev Physiol 69:341–359

    Article  PubMed  CAS  Google Scholar 

  2. Kestenbaum B, Sampson JN, Rudser KD, Patterson DJ, Seliger SL, Young B, Sherrard DJ, Andress DL (2005) Serum phosphate levels and mortality risk among people with chronic kidney disease. J Am Soc Nephrol 16(2):520–528

    Article  PubMed  CAS  Google Scholar 

  3. Palmer SC, Hayen A, Macaskill P, Pellegrini F, Craig JC, Elder GJ, Strippoli GF (2011) Serum levels of phosphorus, parathyroid hormone, and calcium and risks of death and cardiovascular disease in individuals with chronic kidney disease: a systematic review and meta-analysis. JAMA 305(11):1119–1127

    Article  PubMed  CAS  Google Scholar 

  4. Toussaint ND, Pedagogos E, Tan SJ, Badve SV, Hawley CM, Perkovic V, Elder GJ (2012) Phosphate in early chronic kidney disease: associations with clinical outcomes and a target to reduce cardiovascular risk. Nephrology (Carlton) 17(5):433–444

    Article  CAS  Google Scholar 

  5. O’Seaghdha CM, Hwang SJ, Muntner P, Melamed ML, Fox CS (2011) Serum phosphorus predicts incident chronic kidney disease and end-stage renal disease. Nephrol Dial Transplant 26(9):2885–2890

    Article  PubMed  PubMed Central  Google Scholar 

  6. Tan SJ, Smith ER, Hewitson TD, Holt SG, Toussaint ND (2014) The importance of klotho in phosphate metabolism and kidney disease. Nephrology (Carlton) 19(8):439–449

    Article  CAS  Google Scholar 

  7. Biber J, Hernando N, Forster I, Murer H (2009) Regulation of phosphate transport in proximal tubules. Pflug Arch 458(1):39–52

    Article  CAS  Google Scholar 

  8. Block GA, Wheeler DC, Persky MS, Kestenbaum B, Ketteler M, Spiegel DM, Allison MA, Asplin J, Smits G, Hoofnagle AN, Kooienga L, Thadhani R, Mannstadt M, Wolf M, Chertow GM (2012) Effects of phosphate binders in moderate CKD. J Am Soc Nephrol 23(8):1407–1415

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  9. Isakova T, Gutierrez OM, Smith K, Epstein M, Keating LK, Juppner H, Wolf M (2011) Pilot study of dietary phosphorus restriction and phosphorus binders to target fibroblast growth factor 23 in patients with chronic kidney disease. Nephrol Dial Transplant 26(2):584–591

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  10. Isakova T, Xie H, Barchi-Chung A, Smith K, Sowden N, Epstein M, Collerone G, Keating L, Juppner H, Wolf M (2012) Daily variability in mineral metabolites in CKD and effects of dietary calcium and calcitriol. Clin J Am Soc Nephrol 7(5):820–828

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  11. Palomino HL, Rifkin DE, Anderson C, Criqui MH, Whooley MA, Ix JH (2013) 24-hour urine phosphorus excretion and mortality and cardiovascular events. Clin J Am Soc Nephrol 8(7):1202–1210

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  12. Ginsberg JM, Chang BS, Matarese RA, Garella S (1983) Use of single voided urine samples to estimate quantitative proteinuria. N Engl J Med 309(25):1543–1546

    Article  PubMed  CAS  Google Scholar 

  13. Johnson DW, Jones GR, Mathew TH, Ludlow MJ, Chadban SJ, Usherwood T, Polkinghorne K, Colagiuri S, Jerums G, Macisaac R, Martin H, Australasian G (2012) Proteinuria consensus working. Chronic kidney disease and measurement of albuminuria or proteinuria: a position statement. Med J Aust 197(4):224–225

    Google Scholar 

  14. Witte EC, Heerspink HJL, de Zeeuw D, Bakker SJ, de Jong PE, Gansevoort R (2009) First morning voids are more reliable than spot urine samples to assess microalbuminuria. J Am Soc Nephrol 20(2):436–443

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  15. Price CP, Newall RG, Boyd JC (2005) Use of protein:creatinine ratio measurements on random urine samples for prediction of significant proteinuria: a systematic review. Clin Chem 51(9):1577–1586

    Article  PubMed  CAS  Google Scholar 

  16. Bakker AJ (1999) Detection of microalbuminuria. Receiver operating characteristic curve analysis favors albumin-to-creatinine ratio over albumin concentration. Diabetes Care 22(2):307–313

    Article  PubMed  CAS  Google Scholar 

  17. Gokce C, Gokce O, Baydinc C, Ilhan N, Alasehirli E, Ozkucuk F, Tasci M, Atilkeler MK, Celebi H, Arslan N (1991) Use of random urine samples to estimate total urinary calcium and phosphate excretion. Arch Intern Med 151(8):1587–1588

    Article  PubMed  CAS  Google Scholar 

  18. Hong YH, Dublin N, Razack AH, Mohd MA, Husain R (2010) Twenty-four hour and spot urine metabolic evaluations: correlations versus agreements. Urology 75(6):1294–1298

    Article  PubMed  Google Scholar 

  19. Robinson-Cohen C, Ix JH, Smits G, Persky M, Chertow GM, Block GA, Kestenbaum BR (2014) Estimation of 24-hour urine phosphate excretion from spot urine collection: development of a predictive equation. J Ren Nutr 24(3):194–199

    Article  PubMed  CAS  Google Scholar 

  20. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J, Ckd EPI (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604–612

    Article  PubMed  PubMed Central  Google Scholar 

  21. KDIGO 2012 (2013) Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 3:1–150

    Article  Google Scholar 

  22. Kenny AP, Glen AC (1973) Tests of phosphate reabsorption. Lancet 2(7821):158

    Article  PubMed  CAS  Google Scholar 

  23. Chong WH, Molinolo AA, Chen CC, Collins MT (2011) Tumor-induced osteomalacia. Endocr Relat Cancer 18(3):R53–R77

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  24. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476):307–310

    Article  PubMed  CAS  Google Scholar 

  25. Block GA, Ix JH, Ketteler M, Martin KJ, Thadhani RI, Tonelli M, Wolf M, Juppner H, Hruska K, Wheeler DC (2013) Phosphate homeostasis in CKD: report of a scientific symposium sponsored by the National Kidney Foundation. Am J Kidney Dis 62(3):457–473

    Article  PubMed  Google Scholar 

  26. Slatopolsky E (2011) The intact nephron hypothesis: the concept and its implications for phosphate management in CKD-related mineral and bone disorder. Kidney Int Suppl 121:S3–S8

    Article  PubMed  CAS  Google Scholar 

  27. Ricos C, Alvarez V, Cava F, Garcia-Lario JV, Hernandez A, Jimenez CV, Minchinela J, Perich C, Simon M (1999) Current databases on biological variation: pros, cons and progress. Scand J Clin Lab Investig 59(7):491–500

    Article  CAS  Google Scholar 

  28. de Seigneux S, Courbebaisse M, Rutkowski JM, Wilhelm-Bals A, Metzger M, Khodo SN, Hasler U, Chehade H, Dizin E, Daryadel A, Stengel B, Girardin E, Prie D, Wagner CA, Scherer PE, Martin PY, Houillier P, Feraille E (2015) Proteinuria increases plasma phosphate by altering its tubular handling. J Am Soc Nephrol 26(7):1608–1618

    Article  PubMed  Google Scholar 

  29. Biber J, Hernando N, Forster I (2013) Phosphate transporters and their function. Annu Rev Physiol 75:535–550

    Article  PubMed  CAS  Google Scholar 

  30. Buchsbaum M, Harris EK (1971) Diurnal variation in serum and urine electrolytes. J Appl Physiol 30(1):27–35

    PubMed  CAS  Google Scholar 

  31. Harris K, Stribling B (2007) Automated estimated GFR reporting: a new tool to promote safer prescribing in patients with chronic kidney disease? Ther Clin Risk Manag 3(5):969–972

    PubMed  PubMed Central  Google Scholar 

  32. Johnson DW, Jones GR, Becker GJ, Mathew TH (2009) Automated reporting of eGFR: a useful tool for identifying and managing kidney disease. Med J Aust 190(4):200–203

    PubMed  Google Scholar 

  33. Dominguez JR, Kestenbaum B, Chonchol M, Block G, Laughlin GA, Lewis CE, Katz R, Barrett-Connor E, Cummings S, Orwoll ES, Ix JH, Osteoporotic G (2013) Fractures in men study research. Relationships between serum and urine phosphorus with all-cause and cardiovascular mortality: the Osteoporotic Fractures in Men (MrOS) Study. Am J Kidney Dis 61(4):555–563

    Article  PubMed  CAS  Google Scholar 

  34. Palomino HL, Rifkin DE, Anderson C, Criqui MH, Whooley MA, Ix JH (2013) 24-hour urine phosphorus excretion and mortality and cardiovascular events. Clin J Am Soc Nephrol 8(7):1202–1210

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  35. Portale AA, Halloran BP, Morris RC Jr (1987) Dietary intake of phosphorus modulates the circadian rhythm in serum concentration of phosphorus. Implications for the renal production of 1,25-dihydroxyvitamin D. J Clin Investig 80(4):1147–1154

    Article  PubMed  CAS  PubMed Central  Google Scholar 

Download references

Acknowledgments

SJT is a current recipient of a National Health and Medical Research Council (NHMRC) Postgraduate Research Scholarship. NDT is supported by a Jacquot Foundation Research Establishment Award. The contents of this article are solely the views of the individual authors and do not reflect the views of NHMRC or the Jacquot Foundation.

Funding

This study was supported by a Jacquot Foundation Research Establishment Award (see also Acknowledgements).

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Correspondence to Sven-Jean Tan.

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Conflict of interest

SJT has received speaking honoraria from Shire. ERS has received research funding from Amgen and Baxter, honoraria from Shire, and served as a consultant for Vifor Pharma. SGH has received research funding or honoraria from Amgen, Baxter, Gilead, Novartis and Shire. NDT has received consultancy fees, honoraria and research funding from Amgen and Shire Pharmaceuticals. MMXC and TDH have no conflict of interests to declare.

Ethical approval

The study presented within this manuscript was approved by a local human research ethics committee and conducted in accordance with the Declaration of Helsinki.

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Tan, SJ., Smith, E.R., Cai, M.M.X. et al. Relationship between timed and spot urine collections for measuring phosphate excretion. Int Urol Nephrol 48, 115–124 (2016). https://doi.org/10.1007/s11255-015-1149-z

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  • DOI: https://doi.org/10.1007/s11255-015-1149-z

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