4.6 Article

Postanalytical tools improve performance of newborn screening by tandem mass spectrometry

期刊

GENETICS IN MEDICINE
卷 16, 期 12, 页码 889-895

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/gim.2014.62

关键词

cutoff values; newborn screening; postanalytical interpretive tools; second-tier test; tandem mass spectrometry

资金

  1. Region 4 Genetics Collaborative from the Health Resources and Service Administration of the Maternal and Child Health Bureau Cooperative Agreement [U22MC03963]
  2. Eunice Kennedy Shriver National Institute of Child Health and Human Development [HHSN275201000017C]
  3. Newborn Screening Translational Research Network [HHSN275200800001C 01]
  4. T. Denny Sanford Professorship fund
  5. Mayo Clinic

向作者/读者索取更多资源

Purpose: The purpose of this study was to compare performance metrics of postanalytical interpretive tools of the Region 4 Stork collaborative project to the actual outcome based on cutoff values for amino acids and acylcarnitines selected by the California newborn screening program. Methods: This study was a retrospective review of the outcome of 176,186 subjects born in California between 1 January and 30 June 2012. Raw data were uploaded to the Region 4 Stork Web portal as.csv files to calculate tool scores for 48 conditions simultaneously using a previously unpublished functionality the tool runner. Scores for individual target conditions were deemed informative when equal or greater to the value representing the first percentile rank of known true-positive cases (17,099 cases in total). Results: In the study period, the actual false-positive rate and positive predictive value were 0.26 and 10%, respectively. Utilization of the Region 4 Stork tools, simple interpretation rules, and second-tier tests could have achieved a false-positive rate as low as 0.02% and a positive predictive value >50% by replacing the cutoff system with Region 4 Stork tools as the primary method for postanalytical interpretation. Conclusion: Region 4 Stork interpretive tools, second-tier tests, and other evidence-based interpretation rules could have reduced false-positive cases by up to 90% in California.

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