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Article

Significance of data analysis in the quality control of prenatal screening for Down syndrome

  • Authors:
    • Yahong Li
    • Xiaojuan Zhang
    • Dongyang Hong
    • Xianwei Guan
    • Shaolei Lv
    • Yun Sun
    • Tao Jiang
  • View Affiliations / Copyright

    Affiliations: Center of Prenatal Diagnosis, The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, Jiangsu 210004, P.R. China, Zhejiang Biosan Biochemical Technologies Co., Ltd., Hangzhou, Zhejiang 310000, P.R. China
  • Pages: 447-453
    |
    Published online on: March 15, 2018
       https://doi.org/10.3892/br.2018.1078
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Abstract

Dual detection of α‑fetoprotein (AFP) and free β‑human chorionic gonadotropin (β‑HCG) is a common screening method for Down syndrome in the second trimester and its efficacy is assessed by false‑positive rate (FPR). The present study aimed to investigate the effects of the bias in median multiple of the median (mMoM) values of AFP and free β‑HCG on FPR. The bias in mMoM values of AFP and free β‑HCG and the bias in mMoM values under different gestational ages and weight groups were analyzed. Median equations were adjusted, and medians in LifeCycle software were replaced by local medians. Following two adjustments of the median equations, all indices including FPR, mMoM values of markers and mMoM values under different gestational ages and weight groups generally reached an ideal state. In conclusion, abnormal bias in mMoM values may prompt aberrant application of median equations, and regular monitoring of these indicators may be important for quality control in prenatal screening.
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Copy and paste a formatted citation
Spandidos Publications style
Li Y, Zhang X, Hong D, Guan X, Lv S, Sun Y and Jiang T: Significance of data analysis in the quality control of prenatal screening for Down syndrome. Biomed Rep 8: 447-453, 2018.
APA
Li, Y., Zhang, X., Hong, D., Guan, X., Lv, S., Sun, Y., & Jiang, T. (2018). Significance of data analysis in the quality control of prenatal screening for Down syndrome. Biomedical Reports, 8, 447-453. https://doi.org/10.3892/br.2018.1078
MLA
Li, Y., Zhang, X., Hong, D., Guan, X., Lv, S., Sun, Y., Jiang, T."Significance of data analysis in the quality control of prenatal screening for Down syndrome". Biomedical Reports 8.5 (2018): 447-453.
Chicago
Li, Y., Zhang, X., Hong, D., Guan, X., Lv, S., Sun, Y., Jiang, T."Significance of data analysis in the quality control of prenatal screening for Down syndrome". Biomedical Reports 8, no. 5 (2018): 447-453. https://doi.org/10.3892/br.2018.1078
Copy and paste a formatted citation
x
Spandidos Publications style
Li Y, Zhang X, Hong D, Guan X, Lv S, Sun Y and Jiang T: Significance of data analysis in the quality control of prenatal screening for Down syndrome. Biomed Rep 8: 447-453, 2018.
APA
Li, Y., Zhang, X., Hong, D., Guan, X., Lv, S., Sun, Y., & Jiang, T. (2018). Significance of data analysis in the quality control of prenatal screening for Down syndrome. Biomedical Reports, 8, 447-453. https://doi.org/10.3892/br.2018.1078
MLA
Li, Y., Zhang, X., Hong, D., Guan, X., Lv, S., Sun, Y., Jiang, T."Significance of data analysis in the quality control of prenatal screening for Down syndrome". Biomedical Reports 8.5 (2018): 447-453.
Chicago
Li, Y., Zhang, X., Hong, D., Guan, X., Lv, S., Sun, Y., Jiang, T."Significance of data analysis in the quality control of prenatal screening for Down syndrome". Biomedical Reports 8, no. 5 (2018): 447-453. https://doi.org/10.3892/br.2018.1078
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