First and second trimester maternal serum markers for prenatal aneuploidy screening: an update on the adjustment factors for race, smoking, and insulin dependent diabetes mellitus

OBJECTIVES

The concentrations of maternal serum markers for aneuploidy screening are influenced by maternal characteristics such as race, smoking, insulin dependent diabetes mellitus (IDDM), and in vitro fertilization (IVF). Accurate risk estimation requires adjustment of initial values for these characteristics. This study aims to update and validate adjustment factors for race, smoking, and IDDM.

METHODS

The study included singleton pregnancies that received multiple marker screening in Ontario, Canada between January 2012, and December 2018, and had their information collected in the Better Outcomes Registry & Network (BORN) Ontario. Serum markers assessed included first trimester pregnancy-associated plasma protein A (PAPP-A), free β and total human chorionic gonadotropin (hCG), placental growth factor (PlGF) and αlpha-fetoprotein (AFP); second trimester AFP, unconjugated estriol (uE3), total hCG and inhibin A. The Mann-Whitney U test was used to assess the differences in the median multiple of the median (MoM) of serum markers between study and reference groups. New adjustment factors were generated by dividing the median MoM of a particular race, individuals who smoke tobacco, or have IDDM by those of the reference groups.

RESULTS

The study included 624,789 pregnancies. There were statistically significant differences in serum marker concentrations among pregnant individuals who were Black, Asian, or First Nations compared to a Caucasian group, those who smoked compared to Non-smoking individuals, and those with IDDM compared to Non-IDDM group. New adjustment factors for race, smoking, and IDDM were validated by comparing median MoM of serum markers corrected using the current adjustment factors and new adjustment factors generated in this study.

CONCLUSION

The adjustment factors generated in this study can adjust the effects of race, smoking, and IDDM on serum markers more accurately.

The Scientific Basis of Uncertainty Factors Used in Setting Occupational Exposure Limits

The uncertainty factor concept is integrated into health risk assessments for all aspects of public health practice, including by most organizations that derive occupational exposure limits. The use of uncertainty factors is predicated on the assumption that a sufficient reduction in exposure from those at the boundary for the onset of adverse effects will yield a safe exposure level for at least the great majority of the exposed population, including vulnerable subgroups. There are differences in the application of the uncertainty factor approach among groups that conduct occupational assessments; however, there are common areas of uncertainty which are considered by all or nearly all occupational exposure limit-setting organizations. Five key uncertainties that are often examined include interspecies variability in response when extrapolating from animal studies to humans, response variability in humans, uncertainty in estimating a no-effect level from a dose where effects were observed, extrapolation from shorter duration studies to a full life-time exposure, and other insufficiencies in the overall health effects database indicating that the most sensitive adverse effect may not have been evaluated. In addition, a modifying factor is used by some organizations to account for other remaining uncertainties-typically related to exposure scenarios or accounting for the interplay among the five areas noted above. Consideration of uncertainties in occupational exposure limit derivation is a systematic process whereby the factors applied are not arbitrary, although they are mathematically imprecise. As the scientific basis for uncertainty factor application has improved, default uncertainty factors are now used only in the absence of chemical-specific data, and the trend is to replace them with chemical-specific adjustment factors whenever possible. The increased application of scientific data in the development of uncertainty factors for individual chemicals also has the benefit of increasing the transparency of occupational exposure limit derivation. Improved characterization of the scientific basis for uncertainty factors has led to increasing rigor and transparency in their application as part of the overall occupational exposure limit derivation process.