Literature DB >> 31205285

Adjustment for Urinary Creatinine or Serum Lipids for Analytes Assayed in Pooled Specimens.

Clarice R Weinberg1, Min Shi1, Katie M O'Brien2, David M Umbach1.   

Abstract

BACKGROUND: For case-control studies, pooling biologic specimens (cases with cases and controls with controls) can make it affordable to study a biomarker that is expensive to assay, while conserving quantities of archived specimens. For a fixed number of participants, pooling designs incur little loss of estimation precision, and they can even improve precision by enabling inclusion of more participants with the same number of assays. A limitation that has discouraged the use of these methods in environmental epidemiology, however, is the lack of a valid way to adjust for creatinine (urinary dilution) when assaying a biomarker in urine or to adjust for serum lipids when assaying a lipophilic biomarker in serum. We aimed to develop practical strategies to accomplish those adjustments.
METHODS: Our strategies either differentially dilute specimens before pooling equal aliquots or, alternatively, pool deliberately unequal aliquots from each specimen, where prior determinations of the adjustment factor in each individual specimen inform their differential dilution or unequal aliquot volumes. In addition, we show how to modify these strategies if, instead of just adjusting for creatinine per se, one needs to account for factors that influence creatinine. We carry out simulations under several causal scenarios.
RESULTS: We demonstrate that the proposed strategies perform well in estimating the same adjusted association parameter as would be estimated by using individually-assayed specimens.
CONCLUSION: By implementing the proposed strategies when forming specimen pools, one can greatly improve the efficiency of case-control studies that involve an expensive-to-assay exposure measured in biospecimens.

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Year:  2019        PMID: 31205285      PMCID: PMC6679734          DOI: 10.1097/EDE.0000000000001053

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  13 in total

1.  Using pooled exposure assessment to improve efficiency in case-control studies.

Authors:  C R Weinberg; D M Umbach
Journal:  Biometrics       Date:  1999-09       Impact factor: 2.571

2.  A solution to the problem of separation in logistic regression.

Authors:  Georg Heinze; Michael Schemper
Journal:  Stat Med       Date:  2002-08-30       Impact factor: 2.373

3.  Urinary concentrations of toxic substances: an assessment of alternative approaches to adjusting for specific gravity.

Authors:  Tom Sorahan; Dong Pang; Nurtan Esmen; Steven Sadhra
Journal:  J Occup Environ Hyg       Date:  2008-11       Impact factor: 2.155

4.  Pooled exposure assessment for matched case-control studies.

Authors:  Paramita Saha-Chaudhuri; David M Umbach; Clarice R Weinberg
Journal:  Epidemiology       Date:  2011-09       Impact factor: 4.822

5.  Adjustment to concentration-dilution of spot urine samples: correlation between specific gravity and creatinine.

Authors:  M Carrieri; A Trevisan; G B Bartolucci
Journal:  Int Arch Occup Environ Health       Date:  2001-01       Impact factor: 3.015

6.  Bias in odds ratios by logistic regression modelling and sample size.

Authors:  Szilard Nemes; Junmei Miao Jonasson; Anna Genell; Gunnar Steineck
Journal:  BMC Med Res Methodol       Date:  2009-07-27       Impact factor: 4.615

7.  Creatinine and specific gravity normalization in biological monitoring of occupational exposures.

Authors:  Jean-François Sauvé; Martine Lévesque; Mélanie Huard; Daniel Drolet; Jérôme Lavoué; Robert Tardif; Ginette Truchon
Journal:  J Occup Environ Hyg       Date:  2015       Impact factor: 2.155

8.  Lipid adjustment in the analysis of environmental contaminants and human health risks.

Authors:  Enrique F Schisterman; Brian W Whitcomb; Germaine M Buck Louis; Thomas A Louis
Journal:  Environ Health Perspect       Date:  2005-07       Impact factor: 9.031

9.  Environmental Chemicals in Urine and Blood: Improving Methods for Creatinine and Lipid Adjustment.

Authors:  Katie M O'Brien; Kristen Upson; Nancy R Cook; Clarice R Weinberg
Journal:  Environ Health Perspect       Date:  2015-07-24       Impact factor: 9.031

10.  Within-subject Pooling of Biological Samples to Reduce Exposure Misclassification in Biomarker-based Studies.

Authors:  Flavie Perrier; Lise Giorgis-Allemand; Rémy Slama; Claire Philippat
Journal:  Epidemiology       Date:  2016-05       Impact factor: 4.822

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  2 in total

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

Authors:  Ana K Rosen Vollmar; Caroline H Johnson; Clarice R Weinberg; Nicole C Deziel; Donna D Baird; Allen J Wilcox; Anne Marie Z Jukic
Journal:  J Expo Sci Environ Epidemiol       Date:  2020-05-18       Impact factor: 5.563

2.  Comparison of strategies to efficiently combine repeated urine samples in biomarker-based studies.

Authors:  Claire Philippat; Antonia M Calafat
Journal:  Environ Res       Date:  2020-10-03       Impact factor: 6.498

  2 in total

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