Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Oct 19, 2023; 13(10): 763-771
Published online Oct 19, 2023. doi: 10.5498/wjp.v13.i10.763
Construction and validation of a personalized prediction model for postpartum anxiety in pregnant women with preeclampsia
Le-Jing Lin, Hai-Xian Zhou, Zhi-Yun Ye, Qi Zhang, Shu Chen
Le-Jing Lin, Hai-Xian Zhou, Zhi-Yun Ye, Qi Zhang, Department of Obstetrics and Gynecology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou 325000, Zhejiang Province, China
Shu Chen, Department of Gynecology, Wenzhou Traditional Chinese Medicine Hospital, Wenzhou 325000, Zhejiang Province, China
Author contributions: Lin LJ and Chen S designed the study and wrote the paper; Zhou HX participated in the analysis; Ye ZY and Zhang Q provided clinical advice.
Institutional review board statement: The study was reviewed and approved by the Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, No. 202304240852000335465.
Informed consent statement: All patients have signed informed consent forms.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The dataset used for this study can be obtained from the corresponding author.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Shu Chen, MM, Attending Doctor, Department of Gynecology, Wenzhou Traditional Chinese Medicine Hospital, No. 9 Jiaowei Road, Lucheng District, Wenzhou 325000, Zhejiang Province, China. wzszyychenshu@126.com
Received: August 8, 2023
Peer-review started: August 8, 2023
First decision: August 24, 2023
Revised: September 1, 2023
Accepted: September 20, 2023
Article in press: September 20, 2023
Published online: October 19, 2023
Processing time: 65 Days and 2.2 Hours
ARTICLE HIGHLIGHTS
Research background

Relaxation of the maternity policy has resulted in an increase in the number of elderly pregnant and lying-in women, and the prevalence of preeclampsia. Preeclampsia can lead to organ damage and system dysfunction.

Research motivation

To explore the factors influencing postpartum anxiety in pregnant women with preeclampsia and construct a predictive model, to provide an effective and practical risk assessment tool for clinical practice.

Research objectives

The object of this study is to explore the factors influencing postpartum anxiety in pregnant women with preeclampsia and construct a personalized model for predicting postpartum anxiety, to provide a reference for clinical trials.

Research methods

We retrospectively analyzed 528 pregnant women with preeclampsia who delivered in our hospital between 2018 and 2021. Various physiological and biochemical indicators were obtained through laboratory tests. Multivariate logistic regression, receiver operating characteristic curve, Hosmer-Lemeshow and other methods were used to analyze the factors influencing postpartum anxiety in pregnant women with preeclampsia and to construct a predictive model.

Research results

A total of 126 pregnant women with preeclampsia experienced postpartum anxiety. Bad marital relationship, gender discrimination among family members, hematocrit, estradiol hormone and interleukin-6 were independent risk factors for postpartum anxiety in pregnant women with preeclampsia, and the predictive model constructed based on these factors had high accuracy.

Research conclusions

We analyzed the factors influencing postpartum anxiety in pregnant women with preeclampsia and constructed a predictive model with high sensitivity and accuracy, which provided a reference value for clinical practice.

Research perspectives

Firstly, multi-sample, multi-factor, multi-center and multi-time span clinical studies will be carried out in the future to enhance the reliability of the research results. In addition, different models were constructed for clinical application in pregnant women with preeclampsia and postpartum anxiety.