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Improved Performance of Newborn Screening for Congenital Adrenal Hyperplasia Using 21-deoxycortisol Measurement
by
Chakraborty, Pranesh
, Bariciak, Erika
, Saleh, David S
, Henderson, Matthew P A
, McIntosh, Nathan
, Wherrett, Diane K
, Marr, Alexa
, Marcadier, Janet
, Kowalski, Michael
, Lawrence, Sarah E
, Chambers, Amy
, Eagle, Susanne
, Auger, Sheila
, Sinclair, Graham
, Santander, Emeril
in
Adrenogenital syndrome
/ Algorithms
/ Clinical
/ Corticosteroids
/ Genetic disorders
/ Hydroxyprogesterone
/ Hyperplasia
/ Infants (Newborn)
/ Liquid chromatography
/ Mass spectrometry
/ Measurement
/ Medical screening
/ Monte Carlo method
/ Monte Carlo simulation
/ Performance evaluation
/ Steroids
2026
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Improved Performance of Newborn Screening for Congenital Adrenal Hyperplasia Using 21-deoxycortisol Measurement
by
Chakraborty, Pranesh
, Bariciak, Erika
, Saleh, David S
, Henderson, Matthew P A
, McIntosh, Nathan
, Wherrett, Diane K
, Marr, Alexa
, Marcadier, Janet
, Kowalski, Michael
, Lawrence, Sarah E
, Chambers, Amy
, Eagle, Susanne
, Auger, Sheila
, Sinclair, Graham
, Santander, Emeril
in
Adrenogenital syndrome
/ Algorithms
/ Clinical
/ Corticosteroids
/ Genetic disorders
/ Hydroxyprogesterone
/ Hyperplasia
/ Infants (Newborn)
/ Liquid chromatography
/ Mass spectrometry
/ Measurement
/ Medical screening
/ Monte Carlo method
/ Monte Carlo simulation
/ Performance evaluation
/ Steroids
2026
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Improved Performance of Newborn Screening for Congenital Adrenal Hyperplasia Using 21-deoxycortisol Measurement
by
Chakraborty, Pranesh
, Bariciak, Erika
, Saleh, David S
, Henderson, Matthew P A
, McIntosh, Nathan
, Wherrett, Diane K
, Marr, Alexa
, Marcadier, Janet
, Kowalski, Michael
, Lawrence, Sarah E
, Chambers, Amy
, Eagle, Susanne
, Auger, Sheila
, Sinclair, Graham
, Santander, Emeril
in
Adrenogenital syndrome
/ Algorithms
/ Clinical
/ Corticosteroids
/ Genetic disorders
/ Hydroxyprogesterone
/ Hyperplasia
/ Infants (Newborn)
/ Liquid chromatography
/ Mass spectrometry
/ Measurement
/ Medical screening
/ Monte Carlo method
/ Monte Carlo simulation
/ Performance evaluation
/ Steroids
2026
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Improved Performance of Newborn Screening for Congenital Adrenal Hyperplasia Using 21-deoxycortisol Measurement
Journal Article
Improved Performance of Newborn Screening for Congenital Adrenal Hyperplasia Using 21-deoxycortisol Measurement
2026
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Overview
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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