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DOI 10.1038/s41598-020-66320-2

Медицинская библиотека · Scientific reports · 2020

A Retrospective Analysis Of Different Contingent Screening Models For Fetal Down Syndrome In Southwestern China.

Luo Wei, He Bin, Han Daiwen, Yuan Lixing, Chen Xinlian, Pang Ling, Tang Jun, Zou Fene, Zhao Kai, Du Yepei, Liu Hongqian

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

To discuss combinations of traditional screening and noninvasive prenatal screening (NIPS) and to compare which traditional screening is the most suitable first-line screening approach to NIPS, pregnant women were recruited in this retrospective observational study. Pregnant women underwent one of four traditional screening tests. The 9 contingent models were combined by high risk cut-offs of 1:50, 1:100, 1:270 and intermediate risk cut-offs of 1:1000, 1:1500, 1:2000. We analyzed cost and performance of various screening models with contingent screening of different risk cut-offs. Compared with other screening tests, combined first-trimester screening (CFTS) had the lowest proportion of high risk (≥1:270) with the highest detection rate (DR) (78.79%) and the lowest proportion of intermediate risk (1:271~1:1000). When intermediate risk was 1:51 ~1:1500, CFTS as first-line screening had the lowest cost with DR of 93.94%. Other screening tests as the first-line screening with intermediate risk of 1:51~1:1000 had the lowest cost, there DR were 90.91%, 84.62%, 91.67%, respectively. Our study demonstrated if only one traditional screening was allowed to screen pregnant women, CFTS was recommended as the first choice. According to local health and economic conditions, adopting appropriate traditional screening with suitable cut-offs as first-line screening will contributed to a cost-effective screening model.

Для цитирования: Luo Wei, He Bin, Han Daiwen, Yuan Lixing, Chen Xinlian, Pang Ling, Tang Jun, Zou Fene, Zhao Kai, Du Yepei, Liu Hongqian. A Retrospective Analysis Of Different Contingent Screening Models For Fetal Down Syndrome In Southwestern China.. Scientific reports. 2020. DOI: 10.1038/s41598-020-66320-2.

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