ArticleJournal of the Endocrine Society2026
Improved Performance of Newborn Screening for Congenital Adrenal Hyperplasia Using 21-deoxycortisol Measurement.
Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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15 authors.
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Abstract
Purpose: Newborn screening for 21-hydroxylase deficiency congenital adrenal hyperplasia (CAH) has a high false-positive rate. A second-tier steroid profile using liquid chromatography mass spectrometry can improve specificity. Multiple screening algorithms were evaluated to optimize the performance of screening for salt-wasting CAH (SW-CAH). Methods: Principal components analysis guided potential combinations of steroid biomarkers for evaluation in a study population of 1710 immunoassay-positive samples proceeding to the second-tier steroid profile in the Newborn Screening Ontario program between August 2020 and April 2023. A Monte Carlo simulation was used to evaluate the performance of algorithms and cutoffs. Results: Optimal performance for the identification of SW-CAH used a 3-component second-tier algorithm: detectable 21-deoxycortisol (≥ 2.1 nmol/L); 17-hydroxyprogesterone + 21-deoxycortisol ≥ 40 nmol/L; and ratio of (17-hydroxyprogesterone + 21-deoxycortisol)/cortisol ≥ 0.3. All 8 cases of SW-CAH were accurately identified with a positive predictive value of 70% and 100% sensitivity for SW-CAH, whereas 1 known case of simple virilizing (SV) CAH screened negative. When applied to 26 historical cases, the algorithm identified all 13 cases of SW-CAH and all 6 SV-CAH cases, whereas other forms of CAH were filtered out because of low 21-deoxycortisol. Conclusion: Using 21-deoxycortisol for second-tier screening and applying a 3-component algorithm can improve performance of newborn screening for SW-CAH, reducing burden on patients and the health care system. Although cases of SV-CAH may be identified, the thresholds were set to identify life-threatening SW-CAH with a high positive predictive value and 100% sensitivity.
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