Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Sep 19, 2023; 13(9): 654-664
Published online Sep 19, 2023. doi: 10.5498/wjp.v13.i9.654
Analysis of factors related to postpartum depression in pregnancy-induced hypertension syndrome patients and construction and evaluation of nomograms
Jie-Wei Pan, Gang Zhao
Jie-Wei Pan, Gang Zhao, Department of Obstetrics and Gynecology, Huzhou Maternity and Child Health Care Hospital, Huzhou 313000, Zhejiang Province, China
Author contributions: Pan JW designed and performed the research and wrote the paper; Zhao G designed the research and supervised the report.
Supported by Medical Health Science and Technology Project of Huzhou City, No. 2021GY01.
Institutional review board statement: The study was reviewed and approved by the Huzhou Maternity & Child Health Care Hospital, No. 2023-J-060.
Informed consent statement: Approved and exempted from informed consent.
Conflict-of-interest statement: The authors declare no conflicts of interest for this article.
Data sharing statement: The data for this study can be obtained from the corresponding author upon request.
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: Gang Zhao, MBBS, Attending Doctor, Department of Obstetrics and Gynecology, Huzhou Maternity and Child Health Care Hospital, No. 2 East Street, Yuehe Street, Wuxing District, Huzhou 313000, Zhejiang Province, China. zhaogang0572@163.com
Received: June 30, 2023
Peer-review started: June 30, 2023
First decision: July 18, 2023
Revised: July 25, 2023
Accepted: August 21, 2023
Article in press: August 21, 2023
Published online: September 19, 2023
Processing time: 77 Days and 1.4 Hours
ARTICLE HIGHLIGHTS
Research background

The clinical prediction of postpartum depression in patients with pregnancy-induced hypertension is still insufficient, and the application of the nomogram model in predicting postpartum depression in patients with pregnancy-induced hypertension is rarely reported.

Research motivation

Compared with normal pregnant, pregnancy-induced hypertension patients have a higher risk of postpartum depression, which is related to several factors. By integrating risk factors of postpartum depression in pregnancy-induced hypertension and constructing predictive models, this study guides identifying high-risk patients and early clinical intervention.

Research objectives

The study's purpose was to integrate the risk factors of postpartum depression in patients with pregnancy-induced hypertension, construct a graph prediction model, and evaluate the predictive effect of the model.

Research methods

Multivariate logistic regression analysis and LASSO regression were used to analyze the factors related to postpartum depression in pregnancy-induced hypertension. R version 4.0.3 was used to construct a line graph risk predictive model. The area under the receiver operating curve was used to evaluate effectiveness.

Research results

Vitamin A deficiency (VAD) during pregnancy and puerperium, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) are independent risk factors for postpartum depression in pregnancy-induced hypertension. The histogram model established by this method had good predictive efficacy and could guide clinical prevention and intervention.

Research conclusions

Postpartum depression in pregnancy-induced hypertension is related to VAD during pregnancy and puerperium, family history of hypertension, intestinal flora disorders during pregnancy and perinatal period, EPA, and DHA. The predictive efficacy of the risk model established by this method has clinical application value.

Research perspectives

Future research directions should increase the sample size or multicenter study to verify the results, enhance the reliability of the conclusions, and better carry out clinical prevention interventions.