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Original Research

Screening, prenatal diagnosis, and prenatal decision for sex chromosome aneuploidy

ORCID Icon, , , , , & show all
Pages 537-542 | Received 21 Feb 2019, Accepted 26 Apr 2019, Published online: 13 May 2019
 

ABSTRACT

Objective: To assess the performance of non-invasive prenatal testing (NIPT) in screening sex chromosome aneuploidy (SCA), and explore prenatal decision-making in NIPT positive cases.

Methods: The study retrospectively analyses singleton pregnancies who underwent NIPT screening. Clinical data, diagnostic results, and pregnancy outcomes were also collected.

Results: There were 140 positive screens for SCA, including 62 cases of 45,X, 29 cases with 47,XXX, 28 cases of 47,XXY, 20 cases of 47,XYY, and one case of lower X chromosome. Karyotypic information was available in 103 cases. The positive predictive value was 26.09% for 45,X, 85.00% for 47,XXX, 85.00% for 47,XXY, and 68.75% for 47,XYY. The termination rates of 45,X, 47,XXX, 47,XXY, 47,XYY were 83.33%, 26.67%, 82.35%, and 54.54%, respectively (not including mosaic cases).

Conclusion: Our findings demonstrated that the NIPT performed better in predicting sex chromosome trisomies than monosomy X even though false-positive cases do exist in NIPT. For prenatal decisions, pregnancies with diagnoses of fetal 45,X and 47,XXY were terminated more often than those with 47,XXX, 47,XYY. To better guide positive screening pregnancies, pre- and post-test counseling are essential in telling patients the benefits and limitations of the test, comforting their anxiety and giving them the choice for further diagnosis and pregnancy decision.

Declaration of interest

The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Reviewers disclosure

Peer reviewers on this manuscript have no relevant financial relationships or otherwise to disclose.

Additional information

Funding

Project supported by Shenzhen Committee of Science and Technology (Grant No. JCYJ20170413092818116).

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