{
  "abstract": "Aneurysmal subarachnoid hemorrhage (aSAH) ranks among the most burdensome stroke subtypes in terms of years-of-life-lost. Existing models rely primarily on linear additive structures; explicit visualisation of factor-to-factor conditional dependencies remains limited. This study employed mixed graphical models (MGM) to restructure established clinical variables within a cross-sectional network framework, examining conditional independence structures among in-hospital clinical variables. This single-centre retrospective observational cohort included 374 aSAH patients admitted to a neurosurgical ward following definitive aneurysm treatment. The primary outcome was the discharge modified Rankin Scale (mRS), and a static network was constructed using data accrued over the entire hospitalization. Thirty-five routinely documented variables spanning demographics, severity scores (Glasgow Coma Scale, WFNS, modified Fisher), imaging characteristics, laboratory values, treatment modalities, in-hospital complications, temperature profiles and mRS underwent contemporaneous network analysis. MGM estimated pairwise conditional associations via LASSO-regularized Markov random fields (EBIC γ = 0.25, OR rule). Node strength centrality and bridge strength centrality quantified variable interconnectedness. Non-parametric bootstrap resampling (n = 1000) assessed edge weight stability. The cohort (mean age 53.9 ± 11.1 years; 60.7% female) exhibited dense interconnections among severity scores, temperature-derived indices, in-hospital complications, and therapeutic variables. Discharge modified Rankin Scale, Glasgow Coma Scale, mechanical ventilation and pneumonia occupied the highest ranks in both strength centrality and bridge strength centrality; these variables functioned as central and bridge nodes spanning the severity assessment, therapeutic intervention, and outcome evaluation communities. Conditioning on the multivariate conditional structure, the GCS-mRS relationship exhibited a pattern differing from the simple bivariate association. MGM restructured known aSAH clinical variables within a network topology, identifying Glasgow Coma Scale, mechanical ventilation and pneumonia as central and bridge nodes spanning multiple clinical domains. These central nodes represent candidates for future hypothesis-generating research, pending prospective validation.",
  "abstract_shown": true,
  "affiliations": [
    "First Affiliated Hospital of Fujian Medical University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Meixing Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiaoting Yan"
    },
    {
      "affs": [
        0
      ],
      "name": "Dan Lin"
    },
    {
      "affs": [
        0
      ],
      "name": "Pengqiang Chen"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/293f8fxwnpcgm.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-62873-w",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-62873-w",
  "id": "293f8fxwnpcgm",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://doi.org/10.1038/s41598-026-62873-w",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
    ],
    [
      "lcc",
      "R"
    ],
    [
      "openalex",
      "2728|Intracranial Aneurysms: Treatment and Complications"
    ]
  ],
  "openalex": "W7169862653",
  "pdf_url": "https://www.nature.com/articles/s41598-026-62873-w_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/293f8fxwnpcgm.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:54Z",
      "native_id": "dcdea11399ff42b690b82caed56f9ff6",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41598-026-62873-w"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2728|Intracranial Aneurysms: Treatment and Complications",
      "subfield": "neurology"
    }
  ],
  "title": "Constructing the conditional association network and identifying central and bridge nodes in aneurysmal subarachnoid hemorrhage",
  "title_text": "Constructing the conditional association network and identifying central and bridge nodes in aneurysmal subarachnoid hemorrhage",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:54Z",
  "url": "https://research.draconitic.com/paper/293f8fxwnpcgm",
  "venue": "Scientific Reports",
  "versions": []
}