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Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China

OBJECTIVE: To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment. DESIGN: Retrospective cohort study. SETTING: University-affiliated reproductive medical center. SUBJECTS: Women...

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Autores principales: Chu, Ting, Wang, Di, Yu, Ting, Zhai, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356437/
https://www.ncbi.nlm.nih.gov/pubmed/35933344
http://dx.doi.org/10.1186/s12958-022-00986-3
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author Chu, Ting
Wang, Di
Yu, Ting
Zhai, Jun
author_facet Chu, Ting
Wang, Di
Yu, Ting
Zhai, Jun
author_sort Chu, Ting
collection PubMed
description OBJECTIVE: To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment. DESIGN: Retrospective cohort study. SETTING: University-affiliated reproductive medical center. SUBJECTS: Women aged < 35 years undergoing IVF from June 1, 2015, to June 1, 2019. INTERVENTIONS: Cycles were divided into four groups according to the date of the beginning of ovulation induction: spring (659 cycles), summer (578 cycles), autumn (519 cycles), and winter (534 cycles). RESULTS: The high-quality embryo rate was higher in autumn and winter than in cycles in which ovulation induction occurred in spring and summer (58.70% vs. 58.78% vs. 62.67% vs. 63.42%; P < 0.001). The results of linear regression analysis showed that the high-quality embryo rate was significantly correlated with the daily average temperature of ovulation induction (P = 0.037). The clinical pregnancy rates of cycles starting ovulation induction in spring, summer, and autumn were significantly higher than those starting in winter (70.71% vs. 73.18% vs. 70.13% vs. 65.17%; P = 0.031), while the biochemical pregnancy rate, early abortion rate, and live birth rate were not significantly different (P > 0.050). Multivariate logistic regression analysis showed significant seasonal variation in clinical pregnancy (OR = 1.643, 95% CI = 1.203–2.243; P = 0.002), and that a higher daily average temperature at the time of ovulation induction increased the clinical pregnancy rate (OR = 1.012, 95% CI = 1.001–1.022; P = 0.031). CONCLUSIONS: In women younger than 35 years who undergo IVF treatment, the season and ambient temperature on the date of the beginning of ovulation induction may have an impact on embryo development and clinical pregnancy.
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spelling pubmed-93564372022-08-07 Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China Chu, Ting Wang, Di Yu, Ting Zhai, Jun Reprod Biol Endocrinol Research OBJECTIVE: To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment. DESIGN: Retrospective cohort study. SETTING: University-affiliated reproductive medical center. SUBJECTS: Women aged < 35 years undergoing IVF from June 1, 2015, to June 1, 2019. INTERVENTIONS: Cycles were divided into four groups according to the date of the beginning of ovulation induction: spring (659 cycles), summer (578 cycles), autumn (519 cycles), and winter (534 cycles). RESULTS: The high-quality embryo rate was higher in autumn and winter than in cycles in which ovulation induction occurred in spring and summer (58.70% vs. 58.78% vs. 62.67% vs. 63.42%; P < 0.001). The results of linear regression analysis showed that the high-quality embryo rate was significantly correlated with the daily average temperature of ovulation induction (P = 0.037). The clinical pregnancy rates of cycles starting ovulation induction in spring, summer, and autumn were significantly higher than those starting in winter (70.71% vs. 73.18% vs. 70.13% vs. 65.17%; P = 0.031), while the biochemical pregnancy rate, early abortion rate, and live birth rate were not significantly different (P > 0.050). Multivariate logistic regression analysis showed significant seasonal variation in clinical pregnancy (OR = 1.643, 95% CI = 1.203–2.243; P = 0.002), and that a higher daily average temperature at the time of ovulation induction increased the clinical pregnancy rate (OR = 1.012, 95% CI = 1.001–1.022; P = 0.031). CONCLUSIONS: In women younger than 35 years who undergo IVF treatment, the season and ambient temperature on the date of the beginning of ovulation induction may have an impact on embryo development and clinical pregnancy. BioMed Central 2022-08-06 /pmc/articles/PMC9356437/ /pubmed/35933344 http://dx.doi.org/10.1186/s12958-022-00986-3 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
Chu, Ting
Wang, Di
Yu, Ting
Zhai, Jun
Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
title Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
title_full Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
title_fullStr Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
title_full_unstemmed Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
title_short Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China
title_sort effects of seasonal variations and meteorological factors on ivf pregnancy outcomes: a cohort study from henan province, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356437/
https://www.ncbi.nlm.nih.gov/pubmed/35933344
http://dx.doi.org/10.1186/s12958-022-00986-3
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