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High Positive Predictive Value (PPV) of Cell-Free DNA (cfDNA) Testing in a Clinical Study of 10,000 Consecutive Pregnancies
Author(s) -
Willems PJ,
H Dierickx
Publication year - 2016
Publication title -
journal of molecular biomarkers and diagnosis
Language(s) - English
Resource type - Journals
ISSN - 2155-9929
DOI - 10.4172/2155-9929.1000285
Subject(s) - predictive value , cell free fetal dna , medicine , dna testing , dna , oncology , bioinformatics , obstetrics , pregnancy , genetics , prenatal diagnosis , biology , fetus
Background: Cell-free DNA (cfDNA) analysis in maternal blood for the detection of fetal Down syndrome is gradually replacing first trimester screening. We present here a large clinical series of 10,000 consecutive pregnancies. Objectives: To study the reliability of cell-free DNA (cfDNA) analysis in maternal blood for the detection of fetal trisomy 21, 18 and 13 in a clinical setting in 10,000 consecutive pregnancies with variable risk. cfDNA testing has been evaluated in an increasing number of pregnancies mainly at high risk for fetal trisomy, and some studies have suggested that its positive predictive value (PPV) might be lower in low-risk populations. Study design: CfDNA testing using the Harmony™ Prenatal Test was performed in 10,000 consecutive pregnancies with high or low a-priori risk for fetal trisomy 21, 18 and 13. Results: In 147 (1.47%) of the 10,000 pregnancies a high-risk cfDNA testing result indicated trisomy 21 (n=121), trisomy 18 (n=15) or trisomy 13 (n=11). It failed to detect 5 trisomies (2 trisomies 21, 2 trisomies 18, and 1 trisomy 13). Five false-positive results were recorded (4 in the high and 1 in the low risk population). The overall positive predictive value (PPV) was 96%, with a PPV of 96% in the high-risk (>1/200) population and 97% in the low risk (<1/200) population. Conclusions: In this large clinical series of 10,000 consecutive pregnancies, cfDNA testing proved very reliable in detecting fetal trisomy 21, 18 and 13, with a very high PPV both in high and low risk populations.

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