{
  "abstract": "Background: Despite successful vascular recanalization, approximately half of patients undergoing endovascular thrombectomy (EVT) fail to achieve functional independence at 3 months. The biological determinants of this heterogeneity remain poorly characterized.\n\nMethods: Latent class analysis (LCA) was applied to 825 consecutive EVT-treated patients (development cohort, January 2021–December 2024) using 12 routine post-procedural clinical and laboratory indicators. Phenotype associations with favorable 3-month outcome (modified Rankin Scale 0–2) were assessed using multivariable logistic regression. Reproducibility was evaluated in an independent temporal validation cohort ( n = 211).\n\nResults: LCA identified three phenotypes. The Low-burden phenotype (Class 1, 44.4%) had the lowest inflammatory and coagulatory burden and achieved favorable outcome in 70.8% of patients. The Metabolic phenotype (Class 2, 42.7%), characterized by hyperglycemia and elevated neutrophil-to-lymphocyte ratio, had a favorable outcome rate of 44.9% and symptomatic intracranial hemorrhage (sICH) rate of 7.1%. The hypercoagulable phenotype (Class 3, 13.0%), defined by markedly elevated D-dimer and atrial fibrillation, had a favorable outcome rate of 40.2% and sICH rate of 8.4%. After multivariable adjustment, both Class 2 (OR 0.49, 95% CI 0.35–0.69) and Class 3 (OR 0.41, 95% CI 0.25–0.67) were independently associated with unfavorable outcome (both p < 0.001). Class distribution and outcome associations were reproduced in the validation cohort.\n\nConclusion: LCA identified three biologically distinct phenotypes among EVT-treated patients with divergent functional outcomes. Multicenter prospective validation is needed before these findings can inform clinical practice.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Neurology, Taizhou Hospital of Zhejiang Province, Affiliated to Wenzhou Medical University"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Li-Li Yang"
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    {
      "affs": [
        0
      ],
      "name": "Chao Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Li-Li Sun"
    },
    {
      "affs": [
        0
      ],
      "name": "Meng-Xia Li"
    },
    {
      "affs": [
        0
      ],
      "name": "Li Han"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1ge8tej1e4ej2.bib",
  "cited_by": 0,
  "doi": "10.3389/fneur.2026.1855033",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13716782/?tool=EBI",
  "id": "1ge8tej1e4ej2",
  "issns": [
    "1664-2295"
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  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
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    [
      "heading",
      "Original Research"
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      "openalex",
      "2713|Acute Ischemic Stroke Management"
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  "pdf_url": "https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2026.1855033/pdf",
  "pmcid": "PMC13716782",
  "pmid": "42959292",
  "published": "2026-10-15",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/1ge8tej1e4ej2.ris",
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      "url": "https://doi.org/10.3389/fneur.2026.1855033"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2713|Acute Ischemic Stroke Management",
      "subfield": "epidemiology-public-health"
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  ],
  "title": "Latent class analysis identifies three biologically distinct phenotypes among patients undergoing endovascular thrombectomy: a derivation and temporal validation study",
  "title_text": "Latent class analysis identifies three biologically distinct phenotypes among patients undergoing endovascular thrombectomy: a derivation and temporal validation study",
  "type": "peer-reviewed",
  "updated_at": "2026-11-02T12:21:13Z",
  "url": "https://research.draconitic.com/paper/1ge8tej1e4ej2",
  "venue": "Frontiers in Neurology",
  "versions": []
}