Evidence map›Paper›PMID 41607440›Full record

ArticleWorld journal of psychiatry2026

Risk factors and early identification markers for post-ischemic stroke anxiety and depression.

Jie-Dong Zhao, Song-Wang Qiu, Kai-Yan Lin, Hui-Yan Lin, Chang-Wei Yu

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Article in World journal of psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Jie-Dong ZhaoDepartment of Neurology, The First Affiliated Hospital of Xiamen University, Xiamen 361000, Fujian Province, China.
Song-Wang QiuDepartment of Neurology, The First Affiliated Hospital of Xiamen University, Xiamen 361000, Fujian Province, China.
Kai-Yan LinThe School of Clinical Medicine, Fujian Medical University, Fuzhou 350004, Fujian Province, China.
Hui-Yan LinDepartment of Neurology, The First Affiliated Hospital of Xiamen University, Xiamen 361000, Fujian Province, China.
Chang-Wei YuDepartment of Neurology, The First Affiliated Hospital of Xiamen University, Xiamen 361000, Fujian Province, China. 15880284048@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic stroke is one of the leading global causes of disability and death. Despite advances in modern medical technology that improve acute treatment and rehabilitation measures, post-stroke anxiety and depression (PSD) do not receive sufficient attention.

aimTo systematically evaluate risk factors and early identification markers for PSD for more precise screening and intervention strategies in clinical practice.

methodsThis retrospective study analyzed clinical data from 112 patients with ischemic stroke admitted between January 2022 and December 2024. Based on assessments using the Hamilton Rating Scale for Anxiety (HAMA) and Hamilton Rating Scale for Depression (HAMD) at 2 weeks (± 3 days) post-stroke, patients were classified into the PSD group (HAMA ≥ 7 and/or HAMD ≥ 7) and the non-PSD group (HAMA < 7 and HAMD < 7). Observation indicators included psychological assessment, demographic and clinical characteristics, stroke-related clinical indicators, neuroimaging assessments, and laboratory biomarkers. Multivariate logistic regression analysis was used to identify independent risk factors for PSD, and receiver operating characteristic curve analysis was used to evaluate the diagnostic value of potential biomarkers.

resultsOf the 112 patients, 46 (41.1%) were diagnosed with PSD. Multivariate analysis identified five independent risk factors: Female gender [Odds ratio (OR) = 2.32, 95% confidence interval (CI): 1.56-3.45], history of mental disorders prior to stroke (OR = 3.17, 95%CI: 1.89-5.32), infarct location in the frontal lobe or limbic system (OR = 2.86, 95%CI: 1.73-4.71), stroke severity with National Institutes of Health Stroke Scale ≥ 8 at admission (OR = 2.54, 95%CI: 1.62-3.99), and low social support (Social Support Rating Scale < 35, OR = 2.18, 95%CI: 1.42-3.36). Subgroup analysis showed that depression patients more commonly had left hemisphere lesions (68.4%

conclusionPSD is a complex neuropsychiatric consequence of stroke involving disruption of the frontal-limbic circuitry, neuroinflammatory responses, and dysfunction of the hypothalamic-pituitary-adrenal axis.

Indexed as

Anxiety and depressionBiomarkersBrain-derived neurotrophic factorIschemic strokeRisk factors

Identifiers

PMID41607440
PMCPMC12836235

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