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Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis

BACKGROUND: A significant proportion of women with preeclampsia (PE) exhibit persistent postpartum hypertension (PHTN) at 3 months postpartum associated with cardiovascular morbidity. This study aimed to screen patients with PE to identify the high-risk population with persistent PHTN. METHODS: This...

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Autores principales: Li, Yuan-Yuan, Cao, Jing, Li, Jia-Lei, Zhu, Jun-Yan, Li, Yong-Mei, Wang, De-Ping, Liu, Hong, Yang, Hai-Lan, He, Yin-Fang, Hu, Li-Yan, Zhao, Rui, Zheng, Chu, Zhang, Yan-Bo, Cao, Ji-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446580/
https://www.ncbi.nlm.nih.gov/pubmed/36068506
http://dx.doi.org/10.1186/s12884-022-05003-4
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author Li, Yuan-Yuan
Cao, Jing
Li, Jia-Lei
Zhu, Jun-Yan
Li, Yong-Mei
Wang, De-Ping
Liu, Hong
Yang, Hai-Lan
He, Yin-Fang
Hu, Li-Yan
Zhao, Rui
Zheng, Chu
Zhang, Yan-Bo
Cao, Ji-Min
author_facet Li, Yuan-Yuan
Cao, Jing
Li, Jia-Lei
Zhu, Jun-Yan
Li, Yong-Mei
Wang, De-Ping
Liu, Hong
Yang, Hai-Lan
He, Yin-Fang
Hu, Li-Yan
Zhao, Rui
Zheng, Chu
Zhang, Yan-Bo
Cao, Ji-Min
author_sort Li, Yuan-Yuan
collection PubMed
description BACKGROUND: A significant proportion of women with preeclampsia (PE) exhibit persistent postpartum hypertension (PHTN) at 3 months postpartum associated with cardiovascular morbidity. This study aimed to screen patients with PE to identify the high-risk population with persistent PHTN. METHODS: This retrospective cohort study enrolled 1,000 PE patients with complete parturient and postpartum blood pressure (BP) profiles at 3 months postpartum. The enrolled patients exhibited new-onset hypertension after 20 weeks of pregnancy, while those with PE superimposed upon chronic hypertension were excluded. Latent class cluster analysis (LCCA), a method of unsupervised learning in machine learning, was performed to ascertain maternal exposure clusters from eight variables and 35 subordinate risk factors. Logistic regression was applied to calculate odds ratios (OR) indicating the association between clusters and PHTN. RESULTS: The 1,000 participants were classified into three exposure clusters (subpopulations with similar characteristics) according to persistent PHTN development: high-risk cluster (31.2%), medium-risk cluster (36.8%), and low-risk cluster (32.0%). Among the 1,000 PE patients, a total of 134 (13.4%) were diagnosed with persistent PHTN, while the percentages of persistent PHTN were24.68%, 10.05%, and 6.25% in the high-, medium-, and low-risk clusters, respectively. Persistent PHTN in the high-risk cluster was nearly five times higher (OR, 4.915; 95% confidence interval (CI), 2.92–8.27) and three times (OR, 2.931; 95% CI, 1.91–4.49) than in the low- and medium-risk clusters, respectively. Persistent PHTN did not differ between the medium- and low-risk clusters. Subjects in the high-risk cluster were older and showed higher BP, poorer prenatal organ function, more adverse pregnancy events, and greater medication requirement than the other two groups. CONCLUSION: Patients with PE can be classified into high-, medium-, and low-risk clusters according to persistent PHTN severity; each cluster has cognizable clinical features. This study’s findings stress the importance of controlling persistent PHTN to prevent future cardiovascular disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05003-4.
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spelling pubmed-94465802022-09-07 Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis Li, Yuan-Yuan Cao, Jing Li, Jia-Lei Zhu, Jun-Yan Li, Yong-Mei Wang, De-Ping Liu, Hong Yang, Hai-Lan He, Yin-Fang Hu, Li-Yan Zhao, Rui Zheng, Chu Zhang, Yan-Bo Cao, Ji-Min BMC Pregnancy Childbirth Research BACKGROUND: A significant proportion of women with preeclampsia (PE) exhibit persistent postpartum hypertension (PHTN) at 3 months postpartum associated with cardiovascular morbidity. This study aimed to screen patients with PE to identify the high-risk population with persistent PHTN. METHODS: This retrospective cohort study enrolled 1,000 PE patients with complete parturient and postpartum blood pressure (BP) profiles at 3 months postpartum. The enrolled patients exhibited new-onset hypertension after 20 weeks of pregnancy, while those with PE superimposed upon chronic hypertension were excluded. Latent class cluster analysis (LCCA), a method of unsupervised learning in machine learning, was performed to ascertain maternal exposure clusters from eight variables and 35 subordinate risk factors. Logistic regression was applied to calculate odds ratios (OR) indicating the association between clusters and PHTN. RESULTS: The 1,000 participants were classified into three exposure clusters (subpopulations with similar characteristics) according to persistent PHTN development: high-risk cluster (31.2%), medium-risk cluster (36.8%), and low-risk cluster (32.0%). Among the 1,000 PE patients, a total of 134 (13.4%) were diagnosed with persistent PHTN, while the percentages of persistent PHTN were24.68%, 10.05%, and 6.25% in the high-, medium-, and low-risk clusters, respectively. Persistent PHTN in the high-risk cluster was nearly five times higher (OR, 4.915; 95% confidence interval (CI), 2.92–8.27) and three times (OR, 2.931; 95% CI, 1.91–4.49) than in the low- and medium-risk clusters, respectively. Persistent PHTN did not differ between the medium- and low-risk clusters. Subjects in the high-risk cluster were older and showed higher BP, poorer prenatal organ function, more adverse pregnancy events, and greater medication requirement than the other two groups. CONCLUSION: Patients with PE can be classified into high-, medium-, and low-risk clusters according to persistent PHTN severity; each cluster has cognizable clinical features. This study’s findings stress the importance of controlling persistent PHTN to prevent future cardiovascular disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05003-4. BioMed Central 2022-09-06 /pmc/articles/PMC9446580/ /pubmed/36068506 http://dx.doi.org/10.1186/s12884-022-05003-4 Text en © The Author(s) 2022 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
Li, Yuan-Yuan
Cao, Jing
Li, Jia-Lei
Zhu, Jun-Yan
Li, Yong-Mei
Wang, De-Ping
Liu, Hong
Yang, Hai-Lan
He, Yin-Fang
Hu, Li-Yan
Zhao, Rui
Zheng, Chu
Zhang, Yan-Bo
Cao, Ji-Min
Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
title Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
title_full Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
title_fullStr Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
title_full_unstemmed Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
title_short Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
title_sort screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446580/
https://www.ncbi.nlm.nih.gov/pubmed/36068506
http://dx.doi.org/10.1186/s12884-022-05003-4
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