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World J Psychiatry. Aug 19, 2026; 16(8): 118752
Published online Aug 19, 2026. doi: 10.5498/wjp.v16.i8.118752
Multidimensional risk network and clinical management of depression after intracerebral hemorrhage
Lu-Yin Chen, Zhou-Can Xu, Xiao-Yong Lv, Juan Ni, Xue-Jian Wang
Lu-Yin Chen, Xiao-Yong Lv, Juan Ni, Department of Nursing, Clinical College of Nantong University, Nantong 226000, Jiangsu Province, China
Zhou-Can Xu, College of Medicine, Nantong University, Nantong 226000, Jiangsu Province, China
Xue-Jian Wang, Department of Neurosurgery, Nantong Hospital Affiliated to Southeast University, Nantong 226000, Jiangsu Province, China
Xue-Jian Wang, Department of Neurosurgery, Clinical College of Nantong University, Nantong 226000, Jiangsu Province, China
Co-first authors: Lu-Yin Chen and Zhou-Can Xu.
Co-corresponding authors: Juan Ni and Xue-Jian Wang.
Author contributions: Chen LY, Xu ZC, and Wang XJ contributed to review and edit the manuscript; Lv XY and Ni J contributed to conceptualization and original manuscript draft. All authors have read and approved the final manuscript. Chen LY and Xu ZC contributed equally to this manuscript as co-first authors. During the process of collating and publishing this article, the authors Ni J and Wang XJ have achieved a deep integration of equal importance and collaboration. Both of them jointly conceived the core framework during the research design stage and played an equal core role and had the same function in data analysis and paper writing. And summarize the reviewers’ comments and the editors’ requirements, divide the work to and summarize the reviewers’ comments and the editors’ requirements, divide the work and collaborate, and respond to the opinions, and respond to the opinions. Therefore, they apply to be co-corresponding authors.
Supported by Science and Technology Program of Nantong City, No. Key003 and No. JCZ2022040; Nantong Young Medical Expert, No. 46; Science and Technology Program of Nantong Health Committee, No. MA2019003, No. MA2021017 and No. MSZ2024038, and No. MSZ2025012; Kangda College of Nanjing Medical University, No. KD2021JYYJYB025, No. KD2022KYJJZD022, No. KD2024KYJJZD289, No. KD2025JYYJZD009, and No. KD2022KYJJZD028; Research Project on Teaching Reform of Nantong University, No. 2025J23; and Jiangsu Province Occupational Health Research Project, No. JSZJ20251217.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.
Corresponding author: Xue-Jian Wang, MD, PhD, Department of Neurosurgery, Nantong Hospital Affiliated to Southeast University, No. 702 East, No. 666 Shengli Road, Chongchuan District, Nantong 226000, Jiangsu Province, China. 6841441@163.com
Received: January 12, 2026
Revised: February 17, 2026
Accepted: April 15, 2026
Published online: August 19, 2026
Processing time: 190 Days and 19.6 Hours
Abstract

Cerebral hemorrhage is a severe hemorrhagic stroke, with an early mortality rate as high as 40%. Post-cerebral hemorrhage depression is a core complication that affects the rehabilitation process of patients, reduces their long-term quality of life and increases the risk of adverse prognosis. Its pathogenesis involves complex interactions in multiple dimensions such as neural structure, inflammatory metabolism and psychosocial aspects. There are still many challenges in clinical identification and intervention. This article systematically reviews the research progress in the field of post-cerebral hemorrhage depression, sorts out its epidemiological characteristics, multi-dimensional risk factors and interaction mechanisms, integrates and proposes a post-cerebral hemorrhage depression risk network framework centered on the three-dimensional interaction of “neural structure damage-inflammatory metabolic disorder-psychosocial stress”, and elaborates the guiding significance of this framework for clinical practice. Finally, in view of the existing research limitations, the key research directions that need to be explored in the future are clarified, providing evidence-based basis and viewpoint references for promoting the precise prevention and control and clinical management optimization of depression after cerebral hemorrhage.

Keywords: Cerebral haemorrhage; Post-stroke depression; Predictive model; Risk stratification; Clinical management

Core Tip: Intracerebral hemorrhage accounts for approximately half of the incidence and mortality of stroke. The early mortality rate can be as high as 40%-50%, approximately twice that of ischemic stroke. Among them, more than one-third of the survivors develop post-stroke depression. This article will conduct an in-depth interpretation and extended exploration of the clinical translational value of this model in promoting mental health management after stroke from the potential neurobiological, inflammatory metabolic, and psychosocial mechanisms behind it. Based on the existing limitations, it is proposed that future research should focus on external validation, mechanism exploration, long-term dynamic prediction, and the development of intervention strategies. Improve the emotional health management level of survivors of acute cerebral hemorrhage.

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