{
  "abstract": "Background: Acute pancreatitis (AP) in the intensive care unit (ICU) exhibits rapid progression and high 30-day mortality, necessitating efficient early risk prediction methods.\n\nMethods: This study analyzed 724 ICU patients from the MIMIC-IV database. Key predictors were screened using LASSO regression, and a multivariate logistic regression model was constructed to evaluate 30-day mortality risk.\n\nResults: Twelve key predictors–including blood urea nitrogen (BUN), red blood cell distribution width (RDW), pH, sepsis status, and vasopressor use—were identified. The model demonstrated strong discrimination, with area under the curve (AUC) values of 0.85 and 0.89 across sets, an overall accuracy of 77%, and significantly lower 30-day survival in high-risk groups (60% vs. 97%).\n\nConclusions: The proposed model effectively stratifies 30-day mortality risk in ICU AP patients, offering valuable support for early clinical intervention and personalized management.\n\nClinical trial number: Not applicable.\n\nSupplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12876-026-05463-4.",
  "abstract_shown": true,
  "affiliations": [
    "Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China",
    "State Key Laboratory of Digestive Health, Beijing Friendship Hospital, Capital Medical University, Beijing, China",
    "National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing, China",
    "Department of Radiation Oncology, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Huagen Li"
    },
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Zhen Liu"
    },
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Yixi Zhang"
    },
    {
      "affs": [
        3
      ],
      "name": "Xumeng Fang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/c3jh649atdad1.bib",
  "cited_by": 0,
  "doi": "10.1186/s12876-026-05463-4",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13737604/",
  "id": "c3jh649atdad1",
  "issns": [
    "1471-230X"
  ],
  "landing_url": "https://doi.org/10.1186/s12876-026-05463-4",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research"
    ],
    [
      "openalex",
      "2746|Pancreatitis Pathology and Treatment"
    ]
  ],
  "openalex": "W7225124852",
  "pdf_url": null,
  "pmcid": "PMC13737604",
  "pmid": "42989152",
  "published": "2026-11-02",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/c3jh649atdad1.ris",
  "sources": [
    {
      "first_seen": "2026-11-09T12:22:45Z",
      "native_id": "PMC13737604",
      "source": "pmc",
      "url": "https://doi.org/10.1186/s12876-026-05463-4"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2746|Pancreatitis Pathology and Treatment",
      "subfield": "surgery"
    }
  ],
  "title": "Prediction of 30-day mortality risk in patients with acute pancreatitis in ICU: a study based on the MIMIC-IV database",
  "title_text": "Prediction of 30-day mortality risk in patients with acute pancreatitis in ICU: a study based on the MIMIC-IV database",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T12:22:45Z",
  "url": "https://research.draconitic.com/paper/c3jh649atdad1",
  "venue": "BMC Gastroenterology",
  "versions": []
}