Evidence map›Paper›PMID 34764710›Full record

ArticleRisk management and healthcare policy2021

Prenatal Diagnosis Nomograms: A Novel Tool to Predict Fetal Chromosomal Abnormalities in High-Risk Patients.

Yangzi Zhou, Zixuan Song, Lu Sun, Yuting Wang, Xiting Lin, Dandan Zhang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yangzi ZhouShengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, People's Republic of China.
Zixuan SongShengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, People's Republic of China.
Lu SunShengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, People's Republic of China.
Yuting WangShengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, People's Republic of China.
Xiting LinShengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, People's Republic of China.
Dandan ZhangShengjing Hospital of China Medical University, Department of Obstetrics and Gynecology, Shenyang, People's Republic of China.ORCID 0000-0001-6515-9870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmniocentesis is an invasive prenatal diagnostic technique that can provide genetic information of fetus for pregnant women and give them a choice. A straightforward predictive tool can show pregnant women the need for amniocentesis prior to the procedure.

methodsThe information of patients who underwent amniocentesis from 2014 to 2019 at the Obstetrics Clinic, Shengjing Hospital of China Medical University was extracted, and important independent prognostic factors were determined by univariate and multivariate logistic regression analysis to construct nomograms with total abnormalities (TA) and chromosome number abnormalities (CNA).

resultsA total of 19,683 patients undergoing amniocentesis were included in this study. Among 1761 patients with abnormal results, 917 had abnormal chromosome numbers, 439 had abnormal chromosome structures, and 405 had polymorphic results. Nomograms of TA and CNA were created using data such as age, nuchal translucency value, ultrasound results, Oscar's testing and/or non-invasive prenatal testing abnormalities, parental chromosomes, and information whether they were twins. The nomogram has good predictive power and clinical practicality through the analysis of area under curve and decision curve analysis. Internal verification was performed for nomograms of TA and CNA, suggesting that the nomogram's predicted probability and actual probability of the two are consistent.

conclusionThe nomogram constructed is a good predictor of TA and CNA, which can be used in clinical practice to screen high-risk patients of chromosomal abnormalities.

Indexed as

amniocentesischromosome abnormalnomogramprenatal diagnosis

Identifiers

PMID34764710
PMCPMC8575375

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