Predicting Down syndrome and neural tube defects using basic risk factors.

Congenital anomalies are not only one of the main killers for infants but also one of the major causes of deaths under 5. Among congenital anomalies, Down syndrome or trisomy 21 (T-21) and neural tube defects (NTDs) are considered the most common. Expectant mothers in developing countries may not ha...

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Published in:Medical & Biological Engineering & Computing Vol. 57; no. 7; pp. 1417 - 1425
Main Authors: Khattak, Momina T., Supriyanto, Eko, Aman, Muhammad N., Al-Ashwal, Rania H.
Format: Journal Article
Published: Springer Nature Jul2019
Online Access:View this record in EBSCOhost
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      dt: Jul2019
      vid: 57
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      pub: Springer Nature
      place: New York, New York
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        NLM30877513
        10.1007/s11517-019-01969-0
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        atl: Predicting Down syndrome and neural tube defects using basic risk factors.
      aug:
        au:
          Khattak, Momina T.
          Supriyanto, Eko
          Aman, Muhammad N.
          Al-Ashwal, Rania H.
        affil: School of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor, Malaysia
      sug:
        subj:
          Neural Tube Defects Etiology
          Models, Theoretical
          Down Syndrome Etiology
          ROC Curve
          Female
          Maternal Age
          Logistic Regression
          Male
          Pregnancy
          Risk Factors
          Prenatal Diagnosis
          Clinical Assessment Tools
          Female
          Male
      ab: Congenital anomalies are not only one of the main killers for infants but also one of the major causes of deaths under 5. Among congenital anomalies, Down syndrome or trisomy 21 (T-21) and neural tube defects (NTDs) are considered the most common. Expectant mothers in developing countries may not have access to or may not afford the advanced prenatal screening tests. To solve this issue, this paper explores the practicality of using only the basic risk factors for developing prediction models as a tool for initial risk assessment. The prediction models are based on logistic regression. The results show that the prediction models do not have a high balanced classification rate. However, these models can still be used as an effective tool for initial risk assessment for T-21 and NTDs by eliminating at least 50% of the cases with no or low risk. Graphical Abstract Prenatal Risk Assessment of Trisomy-21 and Neural Tube Defects.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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