Intravenous thrombolysis and risk of early-onset post-stroke depression: a propensity score matched cohort study.

Jieyi Lu, Lulu Zhang, Yi Zhang, Huawu Mao, Qi Fang

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Article in Frontiers in neurology, 2024. 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 authors.

Jieyi Lu *Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Lulu Zhang *Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Yi ZhangDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Huawu MaoDepartment of Neurology, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, China.

Qi FangDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is common in stroke survivors and affects their recovery and quality of life (QoL). Intravenous thrombolysis (IVT) can improve post-stroke outcomes but the impact on early-onset post-stroke depression (PSD) is unclear. This was evaluated by comparing depression symptoms between patients with acute ischemic stroke (AIS) with vs. without IVT. Methods: This retrospective cohort study included 633 patients with AIS. The 17-item Hamilton Depression Rating Scale was used to evaluate depression in patients 14-21 days after stroke onset. Propensity score matching was used to minimize intervention bias between the two groups. Results: Of the 633 patients, 120 (19.0%) received IVT and 513 (81%) did not. Before matching, the prevalence of early-onset PSD was lower in the IVT group than in the non-IVT group (18.3% vs. 29.2%, Conclusion: IVT is associated with a reduced risk of early-onset PSD and can improve the QoL of patients with AIS during post-stroke recovery.

Indexed as

intravenous thrombolysisinverse probability of treatment weightingpairwise algorithmicpost-stoke depressionpropensity score method

Identifiers

PMID39618840

DOI10.3389/fneur.2024.1385266

PMCPMC11605618

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