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Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study

INTRODUCTION: Despite the important clinical significance, limited data on the joint contribution of prepregnancy body mass index (BMI) and gestational weight gain (GWG) to preeclampsia, the second leading cause of maternal mortality worldwide. This study aimed to estimate the risk of preeclampsia b...

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Autores principales: Gong, Xiaoli, Li, Jiaxin, Jiang, Yuanhui, Yuan, Pengbo, Chen, Lian, Yang, Yike, Li, You, Sun, Mengxing, Zhao, Yangyu, Shi, Huifeng, Wei, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616116/
https://www.ncbi.nlm.nih.gov/pubmed/36313754
http://dx.doi.org/10.3389/fendo.2022.967102
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author Gong, Xiaoli
Li, Jiaxin
Jiang, Yuanhui
Yuan, Pengbo
Chen, Lian
Yang, Yike
Li, You
Sun, Mengxing
Zhao, Yangyu
Shi, Huifeng
Wei, Yuan
author_facet Gong, Xiaoli
Li, Jiaxin
Jiang, Yuanhui
Yuan, Pengbo
Chen, Lian
Yang, Yike
Li, You
Sun, Mengxing
Zhao, Yangyu
Shi, Huifeng
Wei, Yuan
author_sort Gong, Xiaoli
collection PubMed
description INTRODUCTION: Despite the important clinical significance, limited data on the joint contribution of prepregnancy body mass index (BMI) and gestational weight gain (GWG) to preeclampsia, the second leading cause of maternal mortality worldwide. This study aimed to estimate the risk of preeclampsia by GWG among women with varied prepregnancy BMI. METHODS: We conducted a retrospective cohort study using data of 117 738 singleton pregnant women aged 18–49 years from 150 maternity hospitals in China between 2015 and 2018. GWG was calculated as the measured weight at the time of preeclampsia assessment minus prepregnancy weight; GWG velocity was calculated as the GWG divided by the gestational age at weighing. The non-linear associations of GWG with preeclampsia were examined by restricted cubic spline regression analysis according to prepregnancy BMI. The association of the GWG categories with preeclampsia was further examined by performing robust Poisson regression stratified by the prepregnancy BMI categories. RESULTS: Among participants, 2426 (2.06%) were diagnosed with preeclampsia. Compared to women with normal BMI, those who were overweight and obese had 1.92- fold (95%CI, 1.73–2.14) and 5.06- fold (95%CI, 4.43–5.78) increased risks for preeclampsia, respectively. The association of GWG velocity with preeclampsia was presented as a J-shaped curve with the varied inflexion point (where the rate of preeclampsia was 2%), which was 0.54, 0.38, and 0.25 kg/week in women with normal BMI, overweight, and obesity, respectively; a steep risk rise was observed along with GWG velocity beyond the inflexion points. The overall adjusted relative risk for preeclampsia was calculated among women with the different GWG categories of GWG. CONCLUSIONS: The findings highlight that high prepregnancy BMI and exceed GWG contributed to increased risk of preeclampsia with a superimposed effect and underscore the need to optimize the recommendations for GWG for women with different prepregnancy BMI.
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spelling pubmed-96161162022-10-29 Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study Gong, Xiaoli Li, Jiaxin Jiang, Yuanhui Yuan, Pengbo Chen, Lian Yang, Yike Li, You Sun, Mengxing Zhao, Yangyu Shi, Huifeng Wei, Yuan Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Despite the important clinical significance, limited data on the joint contribution of prepregnancy body mass index (BMI) and gestational weight gain (GWG) to preeclampsia, the second leading cause of maternal mortality worldwide. This study aimed to estimate the risk of preeclampsia by GWG among women with varied prepregnancy BMI. METHODS: We conducted a retrospective cohort study using data of 117 738 singleton pregnant women aged 18–49 years from 150 maternity hospitals in China between 2015 and 2018. GWG was calculated as the measured weight at the time of preeclampsia assessment minus prepregnancy weight; GWG velocity was calculated as the GWG divided by the gestational age at weighing. The non-linear associations of GWG with preeclampsia were examined by restricted cubic spline regression analysis according to prepregnancy BMI. The association of the GWG categories with preeclampsia was further examined by performing robust Poisson regression stratified by the prepregnancy BMI categories. RESULTS: Among participants, 2426 (2.06%) were diagnosed with preeclampsia. Compared to women with normal BMI, those who were overweight and obese had 1.92- fold (95%CI, 1.73–2.14) and 5.06- fold (95%CI, 4.43–5.78) increased risks for preeclampsia, respectively. The association of GWG velocity with preeclampsia was presented as a J-shaped curve with the varied inflexion point (where the rate of preeclampsia was 2%), which was 0.54, 0.38, and 0.25 kg/week in women with normal BMI, overweight, and obesity, respectively; a steep risk rise was observed along with GWG velocity beyond the inflexion points. The overall adjusted relative risk for preeclampsia was calculated among women with the different GWG categories of GWG. CONCLUSIONS: The findings highlight that high prepregnancy BMI and exceed GWG contributed to increased risk of preeclampsia with a superimposed effect and underscore the need to optimize the recommendations for GWG for women with different prepregnancy BMI. Frontiers Media S.A. 2022-10-14 /pmc/articles/PMC9616116/ /pubmed/36313754 http://dx.doi.org/10.3389/fendo.2022.967102 Text en Copyright © 2022 Gong, Li, Jiang, Yuan, Chen, Yang, Li, Sun, Zhao, Shi and Wei https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Gong, Xiaoli
Li, Jiaxin
Jiang, Yuanhui
Yuan, Pengbo
Chen, Lian
Yang, Yike
Li, You
Sun, Mengxing
Zhao, Yangyu
Shi, Huifeng
Wei, Yuan
Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study
title Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study
title_full Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study
title_fullStr Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study
title_full_unstemmed Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study
title_short Risk of preeclampsia by gestational weight gain in women with varied prepregnancy BMI: A retrospective cohort study
title_sort risk of preeclampsia by gestational weight gain in women with varied prepregnancy bmi: a retrospective cohort study
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616116/
https://www.ncbi.nlm.nih.gov/pubmed/36313754
http://dx.doi.org/10.3389/fendo.2022.967102
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