Biological variation in urine samples used for analyte measurements

Ricós, Carmen; Jiménez, C.; Hernández, Amparo; Simon, M. J.; Perich, Carmen; Álvarez, Virtudes; Minchinela, Joana; Macía, M.

doi:10.1093/clinchem/40.3.472

Cited by 49 publications

(16 citation statements)

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“…Endogenous creatinine clearance (CL cr ) is not without limitations either. Coll et al (2) showed serum creatinine levels begin to increase when GFR falls below 75 mL/min/ 1.73 m 2 and therefore, serum creatinine alone may not detect early renal sufficiency in a variety of renal diseases (3).…”

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confidence: 99%

Limitations of glomerular filtration rate equations in the renal transplant patient

Raju¹,

Grover²,

Shoker

2005

Clinical Transplantation

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This study aims to compare the performance of endogenous creatinine clearance (CL(cr)) and a number of published mathematical equations to calculate glomerular filtration rate (GFR) in renal transplant patients considering (99m)Tc DTPA isotope scan as the reference method. A total of 152 GFR were performed on 81 renal transplant patients. Accuracy of each method was measured at different percentiles. The bias and precision of all the methods were then compared. A paired t-test was used to compare the performance of each calculation to the respective GFR measured by isotope study performed on the same day. In the total population, all calculated methods correlated significantly with the isotope results. Accuracies within specific ranges of the isotope GFR were limited in all equations (agreement with isotope result /= 50 mL/min and Gates in patients with GFR < 50 mL/min. Salazar (D.E. Salazar and G.B. Corcoran, Am J Med 1988; vol. 84: p. 1053) had the least bias in patients with BMI above 30 kg/m(2) and the Davis equation (G.A. Davis and M.H. Chandler, Am J Health Syst Pharm 1996; vol. 53: p. 1028) in patients with BMI <25 kg/m(2). In all analyses, Nankivell (B.J. Nankivell, S.M. Gruenwald, R.D.M. Allen and J.R. Chapman, Transplantation 1995; vol. 59: p. 1683) overestimated GFR by more than 80% and MDRD 1 and 2 in <10% of the time. The results demonstrate the inherited limitation in the currently available equations to calculate GFR in renal transplant patients.

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confidence: 99%

Limitations of glomerular filtration rate equations in the renal transplant patient

Raju¹,

Grover²,

Shoker

2005

Clinical Transplantation

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“…31 Reports of values for CV b have led to conclusions regarding the number of samples required for reliable estimates of serum lipids 29 and the medical usefulness of urine for diagnosis and screening of pathologies. 19 When CV b was determined from twice weekly measurements in 20 healthy adults, values for cholesterol, HDL cholesterol, apo A-I, and apo B were less than 8%, cholesterol was less than 10%, and triglyceride was 28%. Intra-subject CV b for Lp(a) ranged from 1% to 50% among the 20 subjects in a direct concentration-dependent manner.…”

Section: Discussionmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] Variability of urinary analytes has been the subject of multiple reports. [16][17][18][19] When 10 overnight urine samples were collected by 10 patients with non-insulin-dependent diabetes mellitus, urinary albumin excretion showed total variability of 12%. 20 A subsequent study found creatinine-normalized urine albumin variability that rose from 19% for normal controls to 61% for children with type I diabetes based on results from 3 consecutive morning urine samples.…”

Section: Introductionmentioning

confidence: 99%

Weekly Biological Variability of Urinary Organic Acids

Lord¹,

C²,

Morris³

et al. 2012

N A J Med Sci

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Use of LC-MS/MS methods has improved sample preparation and increased throughput for the measurement of 40 or more organic acids in urine. In order to assess the significance of abnormalities that might be attributed to nutritional inadequacies or other metabolic disturbances, the week-to-week variation of results due to normal physiological responses needs to be established. This study determined the biological variability for 37 organic acids plus hippuric acid, D-arabinitol and 8-hydroxy-2'deoxyguanosine in overnight urine specimens from eight weekly samples submitted by 22 healthy adults. For the 40 analytes, CV b values varied from 12.3 to 74.3. Fourteen of the analytes had CV b values less than 30 and another 19 of them were less than 50. Multiple analytes displayed the property of increasing variability with concentration that may be characteristic of most intermediary metabolites. Linear regression line slopes for CV b vs. concentration were tabulated to assist the use of this information. The 40 analytes display biological variability in the range of disease risk markers such as serum lipoprotein cholesterol concentrations, cancer markers and thyroid hormones. The likelihood of a single measurement being representative of the true mean concentration varies with the analyte and the level found. Data reported here demonstrate reliability of results of urinary organic acid profiling performed under the reported analytical conditions. [N A J Med Sci. 2012;5(3): 148-156.]

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“…Glucose filtration fluxes in the T2DM subjects were profiled using a pooled data set of (i) 24‐hour UGE during SGLT2 inhibitors treatment and (ii) mean daily plasma glucose (MPG) concentrations and eGFR for each treatment arm. When a trial reported only creatinine clearance (CrCl) rather than eGFR, a simple correction (eGFR = 0.9 × CrCl) was used, acknowledging that CrCl overestimates actual GFR by 10% to 20% as a result of the tubular secretion of creatinine …”

Section: Methodsmentioning

confidence: 99%

Differentiating the Sodium‐Glucose Cotransporter 1 Inhibition Capacity of Canagliflozin vs. Dapagliflozin and Empagliflozin Using Quantitative Systems Pharmacology Modeling

Соколов¹,

Yakovleva²,

Chu

et al. 2020

CPT Pharmacom & Syst Pharma

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The aim of this research was to differentiate dapagliflozin, empagliflozin, and canagliflozin based on their capacity to inhibit sodium-glucose cotransporter (SGLT) 1 and 2 in patients with type 2 diabetes using a previously developed quantitative systems pharmacology model of renal glucose filtration, reabsorption, and excretion. The analysis was based on pooled, mean study-level data on 24-hour urinary glucose excretion, average daily plasma glucose, and estimated glomerular filtration rate collected from phase I and II clinical trials of SGLT2 inhibitors. Variations in filtered glucose across clinical studies were shown to drive the apparent differences in the glucosuria dose-response relationships among the gliflozins. A normalized dose-response analysis demonstrated similarity of dapagliflozin and empagliflozin, but not canagliflozin. At approved doses, SGLT1 inhibition by canagliflozin but not dapagliflozin or empagliflozin contributed to ~ 10% of daily urinary glucose excretion.

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Biological variation in urine samples used for analyte measurements

Cited by 49 publications

References 0 publications

Limitations of glomerular filtration rate equations in the renal transplant patient

Limitations of glomerular filtration rate equations in the renal transplant patient

Weekly Biological Variability of Urinary Organic Acids

Differentiating the Sodium‐Glucose Cotransporter 1 Inhibition Capacity of Canagliflozin vs. Dapagliflozin and Empagliflozin Using Quantitative Systems Pharmacology Modeling

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