Cargando…

Accounting for urinary dilution in peri-implantation samples: implications for creatinine adjustment and specimen pooling

This study examines critical issues in accounting for urinary dilution in peri-implantation samples used to assess environmental exposures. Early pregnancy could impact creatinine excretion, which could bias biomarker measurement and interpretation when creatinine adjustment is used. We compared cre...

Descripción completa

Detalles Bibliográficos
Autores principales: Rosen Vollmar, Ana K., Johnson, Caroline H., Weinberg, Clarice R., Deziel, Nicole C., Baird, Donna D., Wilcox, Allen J., Jukic, Anne Marie Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671945/
https://www.ncbi.nlm.nih.gov/pubmed/32424331
http://dx.doi.org/10.1038/s41370-020-0227-1
Descripción
Sumario:This study examines critical issues in accounting for urinary dilution in peri-implantation samples used to assess environmental exposures. Early pregnancy could impact creatinine excretion, which could bias biomarker measurement and interpretation when creatinine adjustment is used. We compared creatinine levels pre-implantation with levels soon after implantation at 3–6 weeks gestation. Using data and urine specimens from 145 women who conceived, we used linear mixed models to estimate the effect of pregnancy on creatinine concentrations. We also studied whether creatinine adjustment is biased when using pooled, within-person samples rather than averaging individually-adjusted results. For this, we grouped 2,655 daily urinary estrogen metabolite and associated creatinine measures into 762 mathematically-constructed sample pools, and compared averaged individual measures with pooled measures using weighted kappa coefficients and t-tests. Urinary creatinine concentration declined an average of 14% (95% CI: −19%, −11%) from pre- to post-implantation. While there was strong correlation between results based on the two creatinine adjustment methods, adjustment based on pooled specimens introduced a small 3% (95% CI: 2%, 4%) underestimation of the analyte compared to averaging individually-adjusted samples. Post-implantation creatinine declines could introduce errors in biomonitoring results when comparing exposure measures from pre- and post-implantation. Though pooled creatinine adjustment underestimated adjusted analyte concentrations, the bias was small and agreement excellent between pooled and averaged individually-adjusted assessments.