The Combined Impact of CLIR Post-Analytical Tools and Second Tier Testing on the Performance of Newborn Screening for Disorders of Propionate, Methionine, and Cobalamin Metabolism

Abstract

by Dimitar K. Gavrilov,Amy L. Piazza,Gisele Pino,Coleman Turgeon,Dietrich Matern,Devin Oglesbee,Kimiyo Raymond,Silvia Tortorelli andPiero Rinaldo
Int. J. Neonatal Screen. 2020, 6(2), 33; https://doi.org/10.3390/ijns6020033 - 17 july 2022
Cited by 21 | Viewed by 3464
Abstract
The expansion of the recommend uniform screening panel to include more than 50 primary and secondary target conditions has resulted in a substantial increase of false positive results. As an alternative to subjective manipulation of cutoff values and overutilization of molecular testing, here we describe the performance outcome of an algorithm for disorders of methionine, cobalamin, and propionate metabolism that includes: (1) first tier screening inclusive of the broadest available spectrum of markers measured by tandem mass spectrometry; (2) integration of all results into a score of likelihood of disease for each target condition calculated by post-analytical interpretive tools created byCollaborative Laboratory Integrated Reports (CLIR), a multivariate pattern recognition software; and (3) further evaluation of abnormal scores by a second tier test measuring homocysteine, methylmalonic acid, and methylcitric acid. This approach can consistently reduce false positive rates to a <0.01% level, which is the threshold of precision newborn screening. We postulate that broader adoption of this algorithm could lead to substantial savings in health care expenditures. More importantly, it could prevent the stress and anxiety experienced by many families when faced with an abnormal newborn screening result that is later resolved as a false positive outcome. Full article
(This article belongs to the Special Issue CLIR Applications for Newborn Screening)
► Show Figures
12 pages, 980 KiB
Open AccessReview