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Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter
BACKGROUND: Placental growth factor (PlGF), one of the biomarkers, has a certain predictive effect on hypertensive disorders in pregnancy (HDP). OBJECTIVE: To study the HDP prediction effect of different methods for variable selection and modeling for models containing PlGF. METHODS: For the model c...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150465/ https://www.ncbi.nlm.nih.gov/pubmed/33682779 http://dx.doi.org/10.3233/THC-218040 |
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author | Sun, Ge Xu, Qi Zhang, Song Yang, Lin Liu, Guoli Meng, Yu Chen, Aiqing Yang, Yimin Li, Xuwen Hao, Dongmei Liu, Xiaohong Shao, Jing |
author_facet | Sun, Ge Xu, Qi Zhang, Song Yang, Lin Liu, Guoli Meng, Yu Chen, Aiqing Yang, Yimin Li, Xuwen Hao, Dongmei Liu, Xiaohong Shao, Jing |
author_sort | Sun, Ge |
collection | PubMed |
description | BACKGROUND: Placental growth factor (PlGF), one of the biomarkers, has a certain predictive effect on hypertensive disorders in pregnancy (HDP). OBJECTIVE: To study the HDP prediction effect of different methods for variable selection and modeling for models containing PlGF. METHODS: For the model containing PlGF, the appropriate range of PlGF parameters needed to be selected. Step-logistic regression and lasso were used to compare the model effect of twice range selection. The PlGF model with good predictive effect and appropriate detecting gestational age was selected for the final prediction. RESULTS: The effect of the model containing PlGF tested at 15–16 weeks was better than the PlGF value without comprehensive screening. The sensitivity of both methods was over 92%. By comprehensive comparison, the final model of lasso method in this study was more effective. CONCLUSIONS: In this study, a variety of methods were used to screen models containing PlGF parameters. According to clinical needs and model effects, the optimal HDP prediction model with PlGF parameters in the second trimester of 15–26 weeks of pregnancy was finally selected. |
format | Online Article Text |
id | pubmed-8150465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81504652021-06-09 Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter Sun, Ge Xu, Qi Zhang, Song Yang, Lin Liu, Guoli Meng, Yu Chen, Aiqing Yang, Yimin Li, Xuwen Hao, Dongmei Liu, Xiaohong Shao, Jing Technol Health Care Research Article BACKGROUND: Placental growth factor (PlGF), one of the biomarkers, has a certain predictive effect on hypertensive disorders in pregnancy (HDP). OBJECTIVE: To study the HDP prediction effect of different methods for variable selection and modeling for models containing PlGF. METHODS: For the model containing PlGF, the appropriate range of PlGF parameters needed to be selected. Step-logistic regression and lasso were used to compare the model effect of twice range selection. The PlGF model with good predictive effect and appropriate detecting gestational age was selected for the final prediction. RESULTS: The effect of the model containing PlGF tested at 15–16 weeks was better than the PlGF value without comprehensive screening. The sensitivity of both methods was over 92%. By comprehensive comparison, the final model of lasso method in this study was more effective. CONCLUSIONS: In this study, a variety of methods were used to screen models containing PlGF parameters. According to clinical needs and model effects, the optimal HDP prediction model with PlGF parameters in the second trimester of 15–26 weeks of pregnancy was finally selected. IOS Press 2021-03-25 /pmc/articles/PMC8150465/ /pubmed/33682779 http://dx.doi.org/10.3233/THC-218040 Text en © 2021 – The authors. Published by IOS Press. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sun, Ge Xu, Qi Zhang, Song Yang, Lin Liu, Guoli Meng, Yu Chen, Aiqing Yang, Yimin Li, Xuwen Hao, Dongmei Liu, Xiaohong Shao, Jing Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter |
title | Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter |
title_full | Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter |
title_fullStr | Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter |
title_full_unstemmed | Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter |
title_short | Predicting hypertensive disorders in pregnancy using multiple methods: Models with the placental growth factor parameter |
title_sort | predicting hypertensive disorders in pregnancy using multiple methods: models with the placental growth factor parameter |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150465/ https://www.ncbi.nlm.nih.gov/pubmed/33682779 http://dx.doi.org/10.3233/THC-218040 |
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