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Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women

BACKGROUND: This study aimed to evaluate the predictive power of a model combining maternal risk factors and the Quadruple screen test for late-onset preeclampsia (PE). METHODS: All pregnant women that received the Quadruple test for Down syndrome at 15(+ 0)-20(+ 6) weeks’ gestation were recruited....

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Autores principales: Bunyapipat, Phattarika, Pruksanusak, Ninlapa, Suwanrath, Chitkasaem, Geater, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122335/
https://www.ncbi.nlm.nih.gov/pubmed/37087431
http://dx.doi.org/10.1186/s12884-023-05623-4
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author Bunyapipat, Phattarika
Pruksanusak, Ninlapa
Suwanrath, Chitkasaem
Geater, Alan
author_facet Bunyapipat, Phattarika
Pruksanusak, Ninlapa
Suwanrath, Chitkasaem
Geater, Alan
author_sort Bunyapipat, Phattarika
collection PubMed
description BACKGROUND: This study aimed to evaluate the predictive power of a model combining maternal risk factors and the Quadruple screen test for late-onset preeclampsia (PE). METHODS: All pregnant women that received the Quadruple test for Down syndrome at 15(+ 0)-20(+ 6) weeks’ gestation were recruited. Maternal serum α-fetoprotein, β-human chorionic gonadotropin, unconjugated estriol, and inhibin A were measured as multiples of the median. A logistic regression model was used to identify predictors associated with late-onset PE with severe features. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess the model’s predictive ability. RESULTS: Fifty-five of the 2,000 pregnant women had PE, and 31 of 55 women had late-onset PE. Multivariate analysis identified maternal age ≥ 35 years, inhibin A, history of previous PE, history of infertile, cardiac disease, chronic hypertension, and thyroid disease as significant risk factors. The area under the curve of the receiver operating characteristic curve was 0.78. The likelihood ratio to predict late-onset PE was 49.4 (total score > 60). CONCLUSIONS: Our model combining serum inhibin A with maternal risk factors was useful in predicting late-onset PE. Close monitoring of these patients is recommended.
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spelling pubmed-101223352023-04-23 Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women Bunyapipat, Phattarika Pruksanusak, Ninlapa Suwanrath, Chitkasaem Geater, Alan BMC Pregnancy Childbirth Research BACKGROUND: This study aimed to evaluate the predictive power of a model combining maternal risk factors and the Quadruple screen test for late-onset preeclampsia (PE). METHODS: All pregnant women that received the Quadruple test for Down syndrome at 15(+ 0)-20(+ 6) weeks’ gestation were recruited. Maternal serum α-fetoprotein, β-human chorionic gonadotropin, unconjugated estriol, and inhibin A were measured as multiples of the median. A logistic regression model was used to identify predictors associated with late-onset PE with severe features. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess the model’s predictive ability. RESULTS: Fifty-five of the 2,000 pregnant women had PE, and 31 of 55 women had late-onset PE. Multivariate analysis identified maternal age ≥ 35 years, inhibin A, history of previous PE, history of infertile, cardiac disease, chronic hypertension, and thyroid disease as significant risk factors. The area under the curve of the receiver operating characteristic curve was 0.78. The likelihood ratio to predict late-onset PE was 49.4 (total score > 60). CONCLUSIONS: Our model combining serum inhibin A with maternal risk factors was useful in predicting late-onset PE. Close monitoring of these patients is recommended. BioMed Central 2023-04-22 /pmc/articles/PMC10122335/ /pubmed/37087431 http://dx.doi.org/10.1186/s12884-023-05623-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bunyapipat, Phattarika
Pruksanusak, Ninlapa
Suwanrath, Chitkasaem
Geater, Alan
Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women
title Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women
title_full Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women
title_fullStr Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women
title_full_unstemmed Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women
title_short Combined maternal risk factors and the Quadruple test to predict late-onset preeclampsia in pregnant Thai women
title_sort combined maternal risk factors and the quadruple test to predict late-onset preeclampsia in pregnant thai women
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122335/
https://www.ncbi.nlm.nih.gov/pubmed/37087431
http://dx.doi.org/10.1186/s12884-023-05623-4
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