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Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study

BACKGROUND: The risk of fetal loss is higher among ≥35-year-olds than younger women. The present study aimed to explore the causes and factors influencing fetal loss in advanced maternal age (AMA). METHODS: AMA women with singleton fetuses (< 14 gestational weeks) who underwent their first prenat...

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Autores principales: Wang, Xiaomei, Lin, Yuan, Liu, Zhaozhen, Huang, Xinxin, Chen, Rongxin, Huang, Huihui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340511/
https://www.ncbi.nlm.nih.gov/pubmed/34348690
http://dx.doi.org/10.1186/s12884-021-04027-6
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author Wang, Xiaomei
Lin, Yuan
Liu, Zhaozhen
Huang, Xinxin
Chen, Rongxin
Huang, Huihui
author_facet Wang, Xiaomei
Lin, Yuan
Liu, Zhaozhen
Huang, Xinxin
Chen, Rongxin
Huang, Huihui
author_sort Wang, Xiaomei
collection PubMed
description BACKGROUND: The risk of fetal loss is higher among ≥35-year-olds than younger women. The present study aimed to explore the causes and factors influencing fetal loss in advanced maternal age (AMA). METHODS: AMA women with singleton fetuses (< 14 gestational weeks) who underwent their first prenatal examination in the Obstetrics Department of Fujian Maternity and Child Health Hospital from December 2018 to June 2020 were included in this cohort study. Those who terminated the pregnancy before 14 gestational weeks were excluded. A baseline survey was conducted, and follow-up was carried out until the termination of the pregnancy. Clinical data were extracted to analyse the causes of fetal loss among them. In the nested case-control study, the AMA women with fetal loss were enrolled as the case group, and women without fetal loss in the same period were enrolled as the control group, in a 1:2 ratio matched by age and gestational weeks. Logistic regression models were used to analyse the factors influencing fetal loss. RESULTS: A total of 239 women with fetal loss and 478 controls were enrolled. The causes of fetal loss were most often fetal factors, followed by maternal factors, umbilical cord factors, and placental factors. Multivariate logistic regression analysis indicated that junior high school education and below (adjusted odds ratio (aOR) = 5.13, 95% confidence interval (CI): 2.19–12.02), senior high school education (aOR = 4.91, 95% CI: 2.09–11.54), residence in a rural area (aOR = 2.85, 95% CI: 1.92–4.25), unemployment (aOR = 1.81, 95% CI: 1.20–2.71), spontaneous abortion history (aOR = 1.88, 95% CI: 1.26–2.80), preterm birth history (aOR = 11.08, 95% CI: 2.90–42.26), hypertensive disorders of pregnancy (aOR = 7.20, 95% CI: 2.24–23.12), and preterm premature rupture of membranes (aOR = 4.12, 95% CI: 1.53–11.11) were risk factors for fetal loss. CONCLUSIONS: Low educational level, unemployment, abnormal pregnancy/labor history, and pregnancy complications were correlated with the incidence of fetal loss in AMA. Thus, early identification as well as a targeted intervention, should be conducted.
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spelling pubmed-83405112021-08-06 Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study Wang, Xiaomei Lin, Yuan Liu, Zhaozhen Huang, Xinxin Chen, Rongxin Huang, Huihui BMC Pregnancy Childbirth Research BACKGROUND: The risk of fetal loss is higher among ≥35-year-olds than younger women. The present study aimed to explore the causes and factors influencing fetal loss in advanced maternal age (AMA). METHODS: AMA women with singleton fetuses (< 14 gestational weeks) who underwent their first prenatal examination in the Obstetrics Department of Fujian Maternity and Child Health Hospital from December 2018 to June 2020 were included in this cohort study. Those who terminated the pregnancy before 14 gestational weeks were excluded. A baseline survey was conducted, and follow-up was carried out until the termination of the pregnancy. Clinical data were extracted to analyse the causes of fetal loss among them. In the nested case-control study, the AMA women with fetal loss were enrolled as the case group, and women without fetal loss in the same period were enrolled as the control group, in a 1:2 ratio matched by age and gestational weeks. Logistic regression models were used to analyse the factors influencing fetal loss. RESULTS: A total of 239 women with fetal loss and 478 controls were enrolled. The causes of fetal loss were most often fetal factors, followed by maternal factors, umbilical cord factors, and placental factors. Multivariate logistic regression analysis indicated that junior high school education and below (adjusted odds ratio (aOR) = 5.13, 95% confidence interval (CI): 2.19–12.02), senior high school education (aOR = 4.91, 95% CI: 2.09–11.54), residence in a rural area (aOR = 2.85, 95% CI: 1.92–4.25), unemployment (aOR = 1.81, 95% CI: 1.20–2.71), spontaneous abortion history (aOR = 1.88, 95% CI: 1.26–2.80), preterm birth history (aOR = 11.08, 95% CI: 2.90–42.26), hypertensive disorders of pregnancy (aOR = 7.20, 95% CI: 2.24–23.12), and preterm premature rupture of membranes (aOR = 4.12, 95% CI: 1.53–11.11) were risk factors for fetal loss. CONCLUSIONS: Low educational level, unemployment, abnormal pregnancy/labor history, and pregnancy complications were correlated with the incidence of fetal loss in AMA. Thus, early identification as well as a targeted intervention, should be conducted. BioMed Central 2021-08-04 /pmc/articles/PMC8340511/ /pubmed/34348690 http://dx.doi.org/10.1186/s12884-021-04027-6 Text en © The Author(s) 2021 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
Wang, Xiaomei
Lin, Yuan
Liu, Zhaozhen
Huang, Xinxin
Chen, Rongxin
Huang, Huihui
Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
title Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
title_full Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
title_fullStr Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
title_full_unstemmed Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
title_short Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
title_sort analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340511/
https://www.ncbi.nlm.nih.gov/pubmed/34348690
http://dx.doi.org/10.1186/s12884-021-04027-6
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