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Peer-reviewedCC BY 4.0Frontiers in Neurology

Social-biological misalignment modulates the prognostic impact of infarct volume after endovascular thrombectomy

  1. 1The Third Clinical Medical College, Jinzhou Medical University
  2. 2Department of Neurocritical Care, Liaoyang Central Hospital

Abstract

Objective: Endovascular thrombectomy (EVT) achieves high rates of reperfusion, yet functional recovery remains heterogeneous. We investigated whether social-biological time misalignment modifies the association between final infarct volume and 90-day functional outcome.

Methods: This retrospective cohort study included 160 patients with large vessel occlusion treated with EVT. Misalignment was quantified using a composite score incorporating occupational shift exposure and symptom onset timing. Multivariable logistic regression assessed the interaction between misalignment and final infarct volume on favorable 90-day outcome (modified Rankin Scale 0–2).

Results: Misalignment was not independently associated with favorable outcome. However, a significant interaction was observed (OR = 9.70, 95% CI 1.74–54.10, LRT p = 0.008), remaining significant after FDR correction ( q = 0.034), stable across profile likelihood and Firth penalized regression. The interaction improved model fit (AIC 124.35 → 119.38) and provided modest incremental net benefit. Exploratory threshold analysis suggested a potential inflection point approximating 25 mL, but this is hypothesis-generating and requires validation.

Conclusion: Misalignment does not exert a uniform adverse effect but acts as a state-dependent modifier, modifying the association between final infarct volume and favorable outcome. The interaction between chronobiological state and infarct burden offers a novel framework for understanding outcome heterogeneity.

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BibTeX
@article{liu2026socialbiological,
  title = {{Social-biological misalignment modulates the prognostic impact of infarct volume after endovascular thrombectomy}},
  author = {Yongbo Liu and Chunguang Chen and Chengbao Yang},
  journal = {Frontiers in Neurology},
  year = {2026},
  month = nov,
  doi = {10.3389/fneur.2026.1985723},
  url = {https://www.frontiersin.org/articles/10.3389/fneur.2026.1985723/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Social-biological misalignment modulates the prognostic impact of infarct volume after endovascular thrombectomy
AU  - Yongbo Liu
AU  - Chunguang Chen
AU  - Chengbao Yang
PY  - 2026
DA  - 2026/11/03
JO  - Frontiers in Neurology
DO  - 10.3389/fneur.2026.1985723
UR  - https://www.frontiersin.org/articles/10.3389/fneur.2026.1985723/full
AB  - Objective: Endovascular thrombectomy (EVT) achieves high rates of reperfusion, yet functional recovery remains heterogeneous. We investigated whether social-biological time misalignment modifies the association between final infarct volume and 90-day functional outcome.  Methods: This retrospective cohort study included 160 patients with large vessel occlusion treated with EVT. Misalignment was quantified using a composite score incorporating occupational shift exposure and symptom onset timing. Multivariable logistic regression assessed the interaction between misalignment and final infarct volume on favorable 90-day outcome (modified Rankin Scale 0–2).  Results: Misalignment was not independently associated with favorable outcome. However, a significant interaction was observed (OR = 9.70, 95% CI 1.74–54.10, LRT p = 0.008), remaining significant after FDR correction ( q = 0.034), stable across profile likelihood and Firth penalized regression. The interaction improved model fit (AIC 124.35 → 119.38) and provided modest incremental net benefit. Exploratory threshold analysis suggested a potential inflection point approximating 25 mL, but this is hypothesis-generating and requires validation.  Conclusion: Misalignment does not exert a uniform adverse effect but acts as a state-dependent modifier, modifying the association between final infarct volume and favorable outcome. The interaction between chronobiological state and infarct burden offers a novel framework for understanding outcome heterogeneity.
SN  - 1664-2295
ER  -