Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization

Objective: In Japan, the number of nulliparous pregnant women of advanced age, defined as 35 years or older, has increased, and the age range has lengthened towards older age with the increased use of infertility treatments. Given this trend, adverse labour outcomes, such as emergency caesarean del...

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Main Authors: Ryosuke Arakaki, Wataru Isono, Hiroaki Fukuda, Junya Tanaka, Arisa Minamino, Shiko Hayashi
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2024-12-01
Series:Journal of Family and Reproductive Health
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Online Access:https://jfrh.tums.ac.ir/index.php/jfrh/article/view/2811
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author Ryosuke Arakaki
Wataru Isono
Hiroaki Fukuda
Junya Tanaka
Arisa Minamino
Shiko Hayashi
author_facet Ryosuke Arakaki
Wataru Isono
Hiroaki Fukuda
Junya Tanaka
Arisa Minamino
Shiko Hayashi
author_sort Ryosuke Arakaki
collection DOAJ
description Objective: In Japan, the number of nulliparous pregnant women of advanced age, defined as 35 years or older, has increased, and the age range has lengthened towards older age with the increased use of infertility treatments. Given this trend, adverse labour outcomes, such as emergency caesarean delivery (ECD), are expected to increase. Therefore, by focusing mainly on maternal age and infertility treatment history, we aimed to establish a new prediction model for the likelihood of ECD after identifying the influencing factors related to maternal and labour-related characteristics. Materials and methods: The medical records of 1,521 pregnant women who were nulliparous between 2017/4/1 and 2024/3/31 at our hospital were retrospectively reviewed. First, for the 675 women who were aged 30 years old or more, we calculated the rates of ECD in 8 groups classified according to maternal age, infertility treatment, and other variables. Next, we performed multivariate logistic regression analysis to assess the effect of each representative factor and established a prediction model based on the number of factors that were significant in the multivariate analysis. Results: Simple comparisons classified by maternal age revealed a constant increase in the rate of ECD with increasing maternal age, and multivariate analysis revealed 7 significant factors, namely, advanced maternal age, history of using assisted reproductive techniques (ART), small height, high Body mass index (BMI), low Bishop score, late-term delivery, and large infant. In the prediction model constructed with these 7 factors, the rate of ECD increased as the number of these factors increased. Conclusion: The negative impact of advanced maternal age, namely, 40 years or older, and ART history, on labour outcome is clear. A new prediction model has the potential to identify patients with an extremely high probability of needing an ECD. These results may indicate that the management of the labour process will become more difficult in the future.
format Article
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institution Kabale University
issn 1735-8949
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publishDate 2024-12-01
publisher Tehran University of Medical Sciences
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series Journal of Family and Reproductive Health
spelling doaj-art-a5cfba32a148449a98942022acde8f132025-01-06T08:41:36ZengTehran University of Medical SciencesJournal of Family and Reproductive Health1735-89491735-93922024-12-0118410.18502/jfrh.v18i4.17410Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of HospitalizationRyosuke Arakaki0Wataru Isono1Hiroaki Fukuda2Junya Tanaka3Arisa Minamino4Shiko Hayashi5Department of Obstetrics and Gynaecology, Kinan Hospital, Wakayama, JapanDepartment of Obstetrics and Gynaecology, Kinan Hospital, Wakayama, Japan AND Department of Obstetrics and Gynecology, Wakayama Medical University, Kimiidera, JapanDepartment of Obstetrics and Gynaecology, Kinan Hospital, Wakayama, JapanDepartment of Obstetrics and Gynaecology, Kinan Hospital, Wakayama, JapanDepartment of Obstetrics and Gynaecology, Kinan Hospital, Wakayama, JapanDepartment of Obstetrics and Gynaecology, Kinan Hospital, Wakayama, Japan Objective: In Japan, the number of nulliparous pregnant women of advanced age, defined as 35 years or older, has increased, and the age range has lengthened towards older age with the increased use of infertility treatments. Given this trend, adverse labour outcomes, such as emergency caesarean delivery (ECD), are expected to increase. Therefore, by focusing mainly on maternal age and infertility treatment history, we aimed to establish a new prediction model for the likelihood of ECD after identifying the influencing factors related to maternal and labour-related characteristics. Materials and methods: The medical records of 1,521 pregnant women who were nulliparous between 2017/4/1 and 2024/3/31 at our hospital were retrospectively reviewed. First, for the 675 women who were aged 30 years old or more, we calculated the rates of ECD in 8 groups classified according to maternal age, infertility treatment, and other variables. Next, we performed multivariate logistic regression analysis to assess the effect of each representative factor and established a prediction model based on the number of factors that were significant in the multivariate analysis. Results: Simple comparisons classified by maternal age revealed a constant increase in the rate of ECD with increasing maternal age, and multivariate analysis revealed 7 significant factors, namely, advanced maternal age, history of using assisted reproductive techniques (ART), small height, high Body mass index (BMI), low Bishop score, late-term delivery, and large infant. In the prediction model constructed with these 7 factors, the rate of ECD increased as the number of these factors increased. Conclusion: The negative impact of advanced maternal age, namely, 40 years or older, and ART history, on labour outcome is clear. A new prediction model has the potential to identify patients with an extremely high probability of needing an ECD. These results may indicate that the management of the labour process will become more difficult in the future. https://jfrh.tums.ac.ir/index.php/jfrh/article/view/2811Nulliparous Pregnant WomanAdvanced Maternal AgeAssisted Reproductive TechnologyEmergency Caesarean DeliveryPrediction Model
spellingShingle Ryosuke Arakaki
Wataru Isono
Hiroaki Fukuda
Junya Tanaka
Arisa Minamino
Shiko Hayashi
Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization
Journal of Family and Reproductive Health
Nulliparous Pregnant Woman
Advanced Maternal Age
Assisted Reproductive Technology
Emergency Caesarean Delivery
Prediction Model
title Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization
title_full Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization
title_fullStr Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization
title_full_unstemmed Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization
title_short Influencing Factor Analysis and Prediction Model of Emergency Caesarean Delivery for Advanced-Age Nulliparous Women at the Time of Hospitalization
title_sort influencing factor analysis and prediction model of emergency caesarean delivery for advanced age nulliparous women at the time of hospitalization
topic Nulliparous Pregnant Woman
Advanced Maternal Age
Assisted Reproductive Technology
Emergency Caesarean Delivery
Prediction Model
url https://jfrh.tums.ac.ir/index.php/jfrh/article/view/2811
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