{
  "abstract": "Blood proteins measured during acute COVID-19 may help predict Long COVID, but models may fail when moved between cohorts and proteomic platforms. We fitted a reference model using age and sex (C0) in Su/INCOV and a protein model that also included FGF2 and PRDX3 (C2). The pair was fixed before outcome access because both proteins had one-to-one assay mappings. Protein values were standardized within each cohort, and Su coefficients were applied to Zurich without outcome-based refitting. Lower Brier scores indicate better prediction. Su contained 204 participants with complete predictors, but only 125 had linked follow-up. The strict analysis included 122 participants (75 events). Its optimism-corrected C2-minus-C0 Brier difference was + 0.00342 (95% interval, − 0.00608 to + 0.02834). Zurich included 113 participants (40 events). The transferred model difference was + 0.01093 (− 0.01721 to + 0.03882), and strict-model transfer gave + 0.00902 (− 0.01809 to + 0.03696). Both models overpredicted Zurich risk. Reviewer-requested intercept updating also yielded an inconclusive difference. Thus, FGF2 and PRDX3 did not reliably improve prediction beyond age and sex. Because protein standardization depends on a target cohort, this pipeline is not ready to predict risk for a patient.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "name": "Chuan-Xin Duan"
    },
    {
      "name": "Lang Yang",
      "orcid": "0009-0001-5478-2672"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1xp4n883ykk01.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-75618-6",
  "fulltext_url": null,
  "id": "1xp4n883ykk01",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-75618-6",
  "language": null,
  "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,
  "native_subjects": [
    [
      "openalex",
      "2728|Long-Term Effects of COVID-19"
    ]
  ],
  "openalex": "W7221322071",
  "pdf_url": "https://www.nature.com/articles/s41598-026-75618-6_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-10",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/1xp4n883ykk01.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:25Z",
      "native_id": "10.1038/s41598-026-75618-6",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-75618-6"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2728|Long-Term Effects of COVID-19",
      "subfield": "neurology"
    }
  ],
  "title": "Evaluation of acute FGF2 and PRDX3 for long COVID prediction across cohorts and proteomic platforms",
  "title_text": "Evaluation of acute FGF2 and PRDX3 for long COVID prediction across cohorts and proteomic platforms",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:25Z",
  "url": "https://research.draconitic.com/paper/1xp4n883ykk01",
  "venue": "Scientific Reports",
  "versions": []
}