{
  "abstract": "Liver transplantation remains limited by organ shortage, necessitating precise waitlist risk stratification. The Model for End-Stage Liver Disease (MELD) remains the cornerstone of liver allocation and effectively predicts near-term mortality when assessed dynamically during waitlist follow-up. However, MELD measured at initial transplant evaluation may not fully capture baseline multisystem vulnerability, particularly among candidates with lower MELD scores who may remain on the waitlist for prolonged periods. The BioWaitIndex (BWI) was developed using a random forest model in an NHANES development cohort comprising 13,830 participants. The trained model was first temporally validated in a separate, non-overlapping sample from subsequent NHANES cycles comprising 8,151 participants. It was then independently clinically validated in a separate, non-overlapping, IRB-approved cohort of 1,502 adult liver transplant candidates from Houston Methodist Hospital. In the clinical validation cohort, associations between BWI measured at initial transplant evaluation and subsequent waitlist outcomes were assessed using competing-risk regression. In multivariable competing-risks analyses with BWI and MELD both measured at initial evaluation, each unit increase in BWI was associated with a greater likelihood of transplantation (sHR 1.02, 95% CI 1.01-1.03; p < 0.001) and a lower risk of waitlist death or clinical deterioration (sHR 0.97, 95% CI 0.97-0.98; p < 0.001). Adding BWI to MELD at evaluation improved net reclassification for waitlist mortality by 31.2% (p < 0.001) and for transplantation by 11.1% (p = 0.026), with consistent associations across sexes. BWI may complement dynamic MELD assessment by providing earlier information about baseline multisystem vulnerability and identifying candidates whose risk may not be fully reflected by their MELD score at evaluation.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Surgery, Houston Methodist Hospital, Houston, TX, United States.",
    "J. C. Walter Jr. Transplant Center, Houston Methodist Hospital, Houston, TX, United States.",
    "Houston Methodist Academic Institute, Houston, TX, United States.",
    "Department of Surgery, Weill Cornell Medicine, Cornell University, New York, NY, United States.",
    "Department of Medicine, Gastroenterology, Houston Methodist Hospital, Houston, TX, United States.",
    "Department of Medicine, Weill Cornell Medicine, Cornell University, New York, NY, United States.",
    "Department of Anesthesiology and Critical Care, Houston Methodist Hospital, Houston, TX, United States.",
    "Department of Surgery, Immunobiology and Transplant Science Center, Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, United States."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 22,
  "authors": [
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      "name": "Khush Patel"
    },
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      ],
      "name": "Ashton A Connor"
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      "name": "Mansi Sanghvi"
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      "name": "Ahmed Elaileh"
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      "name": "Elsie Rizk"
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      "name": "Samar Semaan"
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      ],
      "name": "Youssef E Dib"
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      "name": "Jason Todd"
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      "name": "Linda W Moore"
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      "name": "Luma Succar"
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      "name": "Caroline J Simon"
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      "name": "Yee Lee Cheah"
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      ],
      "name": "Constance M Mobley"
    },
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      "name": "Ashish Saharia"
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      ],
      "name": "Kavish R Patidar"
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      ],
      "name": "Sudha Kodali"
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    {
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        4,
        5
      ],
      "name": "David W Victor"
    },
    {
      "affs": [
        6
      ],
      "name": "Scott Lindberg"
    },
    {
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        7
      ],
      "name": "Stefano Casarin"
    },
    {
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        7
      ],
      "name": "Xian C Li"
    },
    {
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        0,
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        2,
        3
      ],
      "name": "A Osama Gaber"
    },
    {
      "affs": [
        0,
        1,
        2,
        3
      ],
      "name": "R Mark Ghobrial"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3byhx54jqbced.bib",
  "cited_by": 0,
  "doi": "10.3389/frtra.2026.1964045",
  "fulltext_url": "https://europepmc.org/articles/PMC13713663",
  "id": "3byhx54jqbced",
  "issns": [
    "2813-2440"
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  "landing_url": "https://europepmc.org/article/MED/42952719",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Research"
    ],
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      "openalex",
      "2746|Organ Transplantation Techniques and Outcomes"
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  "pdf_url": "https://europepmc.org/articles/PMC13713663?pdf=render",
  "pmcid": "PMC13713663",
  "pmid": "42952719",
  "published": "2026-10-14",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/3byhx54jqbced.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T00:20:41Z",
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      "url": "https://europepmc.org/article/MED/42952719"
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      "first_seen": "2026-10-31T12:24:10Z",
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      "url": "https://doi.org/10.3389/frtra.2026.1964045"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2746|Organ Transplantation Techniques and Outcomes",
      "subfield": "surgery"
    }
  ],
  "title": "BioWaitIndex: a novel machine learning-derived biomarker for improved prediction of liver transplant waitlist outcomes.",
  "title_text": "BioWaitIndex: a novel machine learning-derived biomarker for improved prediction of liver transplant waitlist outcomes.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-01T12:21:18Z",
  "url": "https://research.draconitic.com/paper/3byhx54jqbced",
  "venue": "Frontiers in transplantation",
  "versions": []
}