{
  "abstract": "Background\n\nThe incidence of deep venous thrombosis (DVT) is higher for severe pneumonia patients hospitalized in respiratory intensive care unit (RICU). Currently, no validated risk assessment tool specifically exists for evaluating DVT risk in this population.Aims\n\nThis study aimed to develop a screening tool to estimate the risk of in-hospital DVT in patients with severe pneumonia admitted to the RICU.Methods\n\nIn this retrospective cohort study, least absolute shrinkage and selection operator (LASSO) regression was used to identify candidate predictors of in-hospital DVT. We then developed two prediction models, a support vector machine (SVM) algorithm and a nomogram model, to predict DVT risk in patients with severe pneumonia in the RICU.Results\n\nWe included 368 patients with severe pneumonia admitted to the RICU. DVT occurred in 124 patients (33.7%) during hospitalization. The area under the Receiver operating characteristic (ROC) curve (AUC) of Padua scores, SVM algorithm and nomogram model to predict the risk of DVT were 0.504 [95% confidence interval (CI): 0.442-0.566], 0.526 (95%CI: 0.466-0.587) and 0.754 (95%CI: 0.703-0.805) respectively. The radar chart also indicated that nomogram model had better performance in multiple metrics. For nomogram model, the calibration plot displayed good concordance between predicted and actual outcomes. Clinical utility was assessed using decision curve analysis (DCA). With a range of threshold probability values between 0.1 and 0.8, the nomogram model provided greater net clinical benefit to predict the risk of DVT than Padua scores and SVM algorithm.Conclusions\n\nWe developed a nomogram to predict the risk of in-hospital DVT in severe pneumonia patients admitted to RICU. The nomogram showed moderate discriminatory performance and may help identify patients who warrant intensified surveillance or confirmatory ultrasonographic assessment.",
  "abstract_shown": true,
  "affiliations": [
    "School of Nursing, Capital Medical University, Beijing, 100069, China. sph98176@163.com.",
    "Department of Pulmonary and Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100021, China. sph98176@163.com.",
    "Department of Cardiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.",
    "Department of Pulmonary and Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, 100021, China.",
    "School of Nursing, Capital Medical University, Beijing, 100069, China. changhong19791111@126.com.",
    "Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100021, China. changhong19791111@126.com."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Puhan Song",
      "orcid": "0009-0002-7204-4400"
    },
    {
      "affs": [
        2
      ],
      "name": "Yan Li"
    },
    {
      "affs": [
        3
      ],
      "name": "Yulei Gong"
    },
    {
      "affs": [
        3
      ],
      "name": "Hongzhen Wang"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Hong Chang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9p8c8ef35qp54.bib",
  "cited_by": 0,
  "doi": "10.1186/s12959-026-00909-x",
  "fulltext_url": "https://europepmc.org/articles/PMC13729274",
  "id": "9p8c8ef35qp54",
  "issns": [
    "1477-9560"
  ],
  "landing_url": "https://europepmc.org/article/MED/42972371",
  "language": "eng",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research"
    ],
    [
      "openalex",
      "2724|Venous Thromboembolism Diagnosis and Management"
    ]
  ],
  "openalex": "W7172481121",
  "pdf_url": "https://europepmc.org/articles/PMC13729274?pdf=render",
  "pmcid": "PMC13729274",
  "pmid": "42972371",
  "published": "2026-08-05",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/9p8c8ef35qp54.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T15:20:49Z",
      "native_id": "MED:42972371",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42972371"
    },
    {
      "first_seen": "2026-11-07T12:22:04Z",
      "native_id": "PMC13729274",
      "source": "pmc",
      "url": "https://doi.org/10.1186/s12959-026-00909-x"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2724|Venous Thromboembolism Diagnosis and Management",
      "subfield": "general"
    }
  ],
  "title": "Developing a screening tool for in-hospital deep venous thrombosis risk in severe pneumonia patients admitted to respiratory intensive care unit.",
  "title_text": "Developing a screening tool for in-hospital deep venous thrombosis risk in severe pneumonia patients admitted to respiratory intensive care unit.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T12:22:04Z",
  "url": "https://research.draconitic.com/paper/9p8c8ef35qp54",
  "venue": "Thrombosis journal",
  "versions": []
}