Birth Weight-or Gestational Age-adjusted Second-tier LCMSMS Cutoffs Improve Newborn Screening for CAH in New Zealand

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Abstract

Context: The positive predictive value of newborn screening for congenital adrenal hyperplasia (CAH) in New Zealand is approximately 10%. The use of a second tier liquid chromatography-tandem mass spectrometry bloodspot steroid profile test with birth weight-or gestational age-adjusted screening cutoffs may result in further screening improvements. Methods: Three years of newborn screening data with additional second-tier steroid metabolites was evaluated (n= 167 672 births). Data from babies with a negative screening test and confirmed CAH cases were compared. First-and second-tier steroid measurements were correlated with both birth weight and gestational age. Analysis of variance was used to determine birth weight and gestational age groups. Screening cutoffs were determined and applied retrospectively to model screening performance. Results: First-tier immunoassay data correlated better with gestational age than with birth weight, but there was no difference with second-tier steroid measurements. Four distinct birth weight and gestational age groups were established for 17-hydroxyprogesterone and a steroid ratio measurement. Application of 97.5th percentile second-tier birth weight-or gestational age-adjusted cutoffs would result in 10 positive tests over the period of the study with 8 true-positive screens and 2 false-positive tests. The positive predictive value of screening would be increased from 10.8% to 80%. Conclusions: The use of either birth weight-or gestational age-adjusted cutoffs for second-tier screening tests can significantly reduce the false positive rate of newborn screening for CAH in New Zealand without loss in screening sensitivity.

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APA

De Hora, M. R., Heather, N. L., Webster, D., Albert, B. B., & Hofman, P. L. (2021). Birth Weight-or Gestational Age-adjusted Second-tier LCMSMS Cutoffs Improve Newborn Screening for CAH in New Zealand. Journal of Clinical Endocrinology and Metabolism, 106(9), E3390–E3399. https://doi.org/10.1210/clinem/dgab383

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