{
  "abstract": "Background: Early risk stratification of febrile neutropenia (FN) in the emergency department (ED) is vital to accelerate empirical antibiotic management. This study evaluates the independent diagnostic performance of combined blood-borne inflammatory indices and the Shock Index (SI) in predicting FN status and severe clinical outcomes. Methods: Medical records of 338 febrile oncology patients presenting to the ED between 2020 and 2026 were retrospectively evaluated. Patients were divided into the FN group (fever + ANC < 1000 cells/μL; n=213) and the control group (n=125). Advanced cell-line metrics and biochemical ratios were calculated at admission. Independent predictors were isolated using multivariable logistic regression analysis. Results: Multivariable regression analysis revealed that elevated core body temperature (aOR: 3.229, 95% CI: 1.845–5.652, p< 0.001), lower serum sodium levels (aOR: 0.843, 95% CI: 0.767–0.926, p< 0.001), a low Neutrophil-to-Lymphocyte Ratio (NLR) (aOR: 0.636, 95% CI: 0.549–0.736, p< 0.001), and an elevated Shock Index (aOR: 24.010, 95% CI: 2.258–255.360, p=0.008) were stable independent predictors of FN. The combined four-variable integrated model achieved an outstanding Area Under the Curve (AUC) of 0.906 (95% CI: 0.874–0.937) with a diagnostic sensitivity of 77.4% and a specificity of 87.0%. Conclusions: Integrating baseline core temperature, hyponatremia, low cellular NLR, and physiologic SI values creates a rapid, cost-effective, and highly accurate screening platform to optimize emergency triage workflows and prevent computational delivery latency in critical oncologic emergencies.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Emergency Medicine, Faculty of Medicine, Başkent University, Ankara 06490, Türkiye",
    "Department of Physiology, Faculty of Medicine, Yüksek İhtisas University, Ankara 06530, Türkiye"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Murat Muratoglu",
      "orcid": "0000-0002-9586-7509"
    },
    {
      "affs": [
        0
      ],
      "name": "Busra Bulut",
      "orcid": "0000-0002-9199-6696"
    },
    {
      "affs": [
        1
      ],
      "name": "Saide Bakal Muratoglu",
      "orcid": "0000-0002-6861-9171"
    },
    {
      "affs": [
        0
      ],
      "name": "Mohammadsajad Cheraqi",
      "orcid": "0009-0000-3094-5062"
    },
    {
      "affs": [
        0
      ],
      "name": "Fatih Yıldırım",
      "orcid": "0009-0008-1142-2336"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9ekevbs5bwqf0.bib",
  "cited_by": 0,
  "doi": "10.3390/jcm15218234",
  "fulltext_url": null,
  "id": "9ekevbs5bwqf0",
  "issns": [
    "2077-0383"
  ],
  "landing_url": "https://www.mdpi.com/2077-0383/15/21/8234",
  "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",
      "2730|Neutropenia and Cancer Infections"
    ]
  ],
  "openalex": "W7223315558",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/9ekevbs5bwqf0.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:01Z",
      "native_id": "10.3390/jcm15218234",
      "source": "crossref",
      "url": "https://www.mdpi.com/2077-0383/15/21/8234"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2730|Neutropenia and Cancer Infections",
      "subfield": "oncology"
    }
  ],
  "title": "Diagnostic Value of Combined Biomarkers and the Shock Index for Predicting Febrile Neutropenia and Clinical Outcomes in the Emergency Department: A Multivariate Regression Analysis",
  "title_text": "Diagnostic Value of Combined Biomarkers and the Shock Index for Predicting Febrile Neutropenia and Clinical Outcomes in the Emergency Department: A Multivariate Regression Analysis",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:01Z",
  "url": "https://research.draconitic.com/paper/9ekevbs5bwqf0",
  "venue": "Journal of Clinical Medicine",
  "versions": []
}