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9/20/2023 4:36:04 PM | Browse: 44 | Download: 0
Publication Name World Journal of Psychiatry
Manuscript ID 86651
Country China
Category Psychiatry
Manuscript Type Retrospective Study
Article Title Construction and validation of a personalized prediction model for postpartum anxiety in pregnant women with preeclampsia
Manuscript Source Unsolicited Manuscript
All Author List Le-Jing Lin, Hai-Xian Zhou, Zhi-Yun Ye, Qi Zhang and Shu Chen
Funding Agency and Grant Number
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
Key Words Preeclampsia; Postpartum anxiety; Risk factors; Predictive model
Core Tip Preeclampsia is a progressive multisystem disease during pregnancy, characterized by new hypertension and proteinuria after 20 wk of pregnancy, and the condition develops continuously, which has a serious effect on the health of the mother and child. We analyzed the biochemical indicators of 528 pregnant women with preeclampsia and the independent factors influencing postpartum anxiety, and constructed a predictive model, with high clinical value.
Citation Lin LJ, Zhou HX, Ye ZY, Zhang Q, Chen S. Construction and validation of a personalized prediction model for postpartum anxiety in pregnant women with preeclampsia. World J Psychiatry 2023; 13(10): 763-771
Received
2023-08-08 02:34
Peer-Review Started
2023-08-08 02:34
To Make the First Decision
Return for Revision
2023-08-24 07:16
Revised
2023-09-01 02:59
Second Decision
2023-09-18 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2023-09-20 16:36
Articles in Press
2023-09-20 16:36
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-09-25 05:07
ISSN 2220-3206 (online)
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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
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