TREC Based Newborn Screening for Severe Combined Immunodeficiency Disease: A Systematic Review

J van der Spek, RHH Groenwold, Mirjam van der Burg, JM van Montfrans

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Abstract

Background Newborn screening (NBS) by quantifying T cell receptor excision circles (TRECs) in neonatal dried blood spots (DBS) enables early diagnosis of severe combined immunodeficiency disease (SCID). In recent years, different screening algorithms for TREC based SCID screening were reported. Purpose To systematically review the diagnostic performance of published algorithms for TREC based NBS for SCID. Methods PubMed, EMBASE and the Cochrane Library were systematically searched for case series and prospective cohort studies describing TREC based NBS for SCID. We extracted TREC content and cut-off values, number of retests, repeat DBS and referrals, and type and number of typical SCID and other T cell lymphopenia (TCL) cases. We calculated positive predictive value (PPV), test sensitivity and SCID incidence. Results Thirteen studies were included, re-confirming 89 known SCID cases in case series and reporting 53 new SCID cases in 3.15 million newborns. In case series, the sensitivity for typical SCID was 100 %. In the prospective cohort studies, SCID incidence was similar to 1.7:100,000, re-test rate was 0.20-3.26 %, repeat DBS rate 0.0-0.41 % and referral rate 0.01-1.35 %. PPV within the five largest cohorts was 0.8-11.2 % for SCID and 18.3-81.0 % for TCL. Individual TREC contents in all SCID patients was < 25 TRECs/mu l (except in those evaluated with the New York State assay). Conclusions The sensitivity of TREC based NBS for typical SCID was 100 %. The TREC cut-off score determines the percentage of non-SCID TCL cases detected in newborn screening for TCL. Adapting the screening algorithm for pre-term/ill infants reduces the amount of false positive test results.
Original languageUndefined/Unknown
Pages (from-to)416-430
Number of pages15
JournalJournal of Clinical Immunology
Volume35
Issue number4
DOIs
Publication statusPublished - 2015

Research programs

  • EMC MM-02-72-01

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