Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Psychiatry. Jun 19, 2026; 16(6): 118284
Published online Jun 19, 2026. doi: 10.5498/wjp.v16.i6.118284
Published online Jun 19, 2026. doi: 10.5498/wjp.v16.i6.118284
Letter to the Editor: Advancing predictive psychiatry in perinatal care: The imperative of multidimensional modeling for postpartum anxiety following preeclampsia
Ke-Run Gao, Department of Psychiatry II, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310013, Zhejiang Province, China
Pan-Xin Zhang, Department of Medical Affairs, Aksu Fourth People’s Hospital, Aksu 843000, Xinjiang Uygur Autonomous Region, China
Fu-Gang Luo, Intensive Care Unit, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310013, Zhejiang Province, China
Wen-Ye Wu, Kai-Jie Fang, Juan Yan, Quality Control Office, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310013, Zhejiang Province, China
Jun-Jie Wang, Judicial Appraisal Institute, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310013, Zhejiang Province, China
Jin-Hui Zheng, Department of Medical Equipment, Hangzhou Normal University Affiliated Hospital, Hangzhou 310013, Zhejiang Province, China
Hao-Yu Xing, Department of Medical Engineering, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou 310013, Zhejiang Province, China
Co-first authors: Ke-Run Gao and Pan-Xin Zhang.
Co-corresponding authors: Hao-Yu Xing and Juan Yan.
Author contributions: Xing HY and Yan J drafted the manuscript, contributed equally as co-corresponding authors; Gao KR and Zhang PX contributed to the conceptualization and writing as co-first authors; Luo FG, Wu WY, Wang JJ, Fang KJ, and Zheng JH contributed to the review and editing. All authors have read and approved the final version of the manuscript.
AI contribution statement: We confirm that our manuscript was not generated by AI. The scientific content, conceptualization, analysis, and original drafting were all carried out independently by the listed authors.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Juan Yan, MD, Professor, Quality Control Office, Affiliated Mental Health Center and Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, No. 305 Tianmushan Road, Xihu District, Hangzhou 310013, Zhejiang Province, China. 294162939@qq.com
Received: December 29, 2025
Revised: January 26, 2026
Accepted: March 6, 2026
Published online: June 19, 2026
Processing time: 151 Days and 5.5 Hours
Revised: January 26, 2026
Accepted: March 6, 2026
Published online: June 19, 2026
Processing time: 151 Days and 5.5 Hours
Core Tip
Core Tip: Predictive modeling is transforming perinatal psychiatry. By integrating biological, psychological, and social indicators, multivariate models, such as that proposed by Zhang et al, for predicting postpartum anxiety symptoms among patients with preeclampsia demonstrate higher predictive accuracy than single-predictor models. However, their clinical impact depends on external validation, deeper investigation of biological mechanisms, and implementation across diverse populations.