ArticleScientific reports2025
Variable power functional dilution adjustment of spot urine.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Is uromodulin a reliable biomarker in pediatric vesicoureteral reflux? An exploratory pilot study.International urology and nephrology · 2026Article
- Human biomonitoring of mycotoxins: key challenges and future directions.Mycotoxin research · 2025Review
- Urinary Sweeteners and Sugars in Relation to Childhood Obesity: The SWEET Project.The Journal of nutrition · 2025Article
- The role of spectral characteristics of urine in bladder cancer diagnostics.Scientific reports · 2025Article
- Trends in Salt Consumption and Reduction Practices in Vietnam During 2015-2021: Analyzing Urinary Sodium Levels Among 18-69 Aged Populations.International journal of public health · 2025Article
- The role of age and sex in non-linear dilution adjustment of spot urine arsenic.BMC nephrology · 2024Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spot-urinary biomarkers are crucial in medical, epidemiological, and environmental studies, but their variability due to hydration levels requires precise dilution adjustments. Traditional methods, like conventional creatinine correction (CCRC), are limited in compensating for variations in urine concentration, causing substantial inconsistencies, particularly at the extremes of the diuresis spectrum. While restricting the creatinine (CRN) range to 0.3-3 g/L is recommended to ensure result stability, this approach excludes a substantial proportion of samples and permits notable fluctuations within the accepted range. This study introduces a novel variable power functional creatinine correction method (V-PFCRC) to normalize analytes to 1 g/L CRN by utilizing uncorrected analyte levels and two analyte-specific coefficients, c and d. Based on extensive urinary total weight arsenic data (n = 5,553), the mathematical derivation of these coefficients is detailed in this paper and forms the foundation of the corrective V-PFCRC formulas. The generalizability of V-PFCRC was evaluated using large spot-urinary datasets for four additional metals and an extensive dataset of urinary iodine levels (n > 58,000) and blood iodine. Validation against conventional methods-assessing vital statistical data, residual CRN bias, and correlations with concurrently detected blood levels of total arsenic and iodine- demonstrated the superior performance of V-PFCRC in reducing residual CRN bias and enhancing blood-urine correlations. The V-PFCRC method effectively addresses nonlinear hydration bias and the exposure-dependent variability of this bias, providing a more accurate representation of exposure and supply levels. The adaptability and efficiency of V-PFCRC suggest its broad applicability across various scientific disciplines, potentially transforming the precision and reliability of urinary biomarkers.
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