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. Oct 19, 2026; 16(10): 122517
Published online Oct 19, 2026. doi: 10.5498/wjp.122517
Published online Oct 19, 2026. doi: 10.5498/wjp.122517
Development and validation of a nomogram model for identifying post-stroke anxiety symptoms
Shang-Yu Luo, Yun-Jun Hong, Ji Liang, Yu Peng, Li-Hua Shao, Xiao-Bo Zhang, Department of Neurology, Changde Hospital, Xiangya School of Medicine, Central South University (The First People’s Hospital of Changde City), Changde 415000, Hunan Province, China
Li Feng, Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China
Li Feng, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha Hunan Province, 410008, China
Co-corresponding authors: Li-Hua Shao and Xiao-Bo Zhang.
Author contributions: Luo SY wrote the paper; Feng L and Hong YJ analyzed the data; Liang J collected the data; Shao LH, Zhang XB were responsible for study conceptualization, manuscript revision, and final approval of the manuscript, they contributed equally to this article, and are the co-corresponding authors of this manuscript; Luo SY, Feng L, Hong YJ, Liang J, Peng Y, Shao LH, and Zhang XB subsequently critically edited the manuscript, and all read and approved the final edition; all authors were responsible for the decision to submit the manuscript for publication.
AI contribution statement: We did not use AI tools in writing the article.
Supported by the Science and Technology Innovation Program of Changde City, No. CDKJJ20242294.
Institutional review board statement: This study was approved by the Medical Ethics Committee of the First People’s Hospital of Changde City, approval No. 2025-172-01.
Informed consent statement: Written informed consent was obtained from all participants or their families, with family members providing consent on behalf of stroke patients who were unable to do so.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Corresponding author: Xiao-Bo Zhang, Chief Physician, Department of Neurology, Changde Hospital, Xiangya School of Medicine, Central South University (The First People’s Hospital of Changde City), No. 818 Renmin Road, Changde 415000, Hunan Province, China.
Received: April 27, 2026
Revised: July 14, 2026
Accepted: September 4, 2026
Published online: October 19, 2026
Processing time: 168 Days and 18.7 Hours
Revised: July 14, 2026
Accepted: September 4, 2026
Published online: October 19, 2026
Processing time: 168 Days and 18.7 Hours
Core Tip
Core Tip: This retrospective cross-sectional study sought to develop a clinical recognition model for post-stroke anxiety symptoms. The nomogram exhibited robust discrimination and calibration in a single-center sample, indicating its potential to identify patients at high risk for current anxiety symptoms, pending external validation.