ArticleCancer medicine2022
Development and validation of a nomogram for predicting the prognosis in cancer patients with sepsis.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- A nomogram for the prediction of traumatic intracranial abnormalities in the elderly: Development and validation.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026Article
- Clinical characteristics and prognostic analysis of sepsis in immunocompromised and non-immunocompromised patients: a prospective cohort study in the emergency department.BMC infectious diseases · 2026Article
- Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care unit.The Journal of international medical research · 2025Article
- Clinical characteristics and prognostic factors of sepsis in patients with malignancy.Scientific reports · 2025Observational
- Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram.European journal of medical research · 2025Article
- A Web-Based Dynamic Nomogram for Early Diagnosis in Sepsis: Development and Validation with Real-World Clinical Utility.Infection and drug resistance · 2025Article
- Characteristics and risk factors for death in HIV-positive talaromycosis marneffei patients with sepsis.Heliyon · 2024Article
- The value of right ventricular pulmonary artery coupling in determining the prognosis of patients with sepsis.Scientific reports · 2024Article
- Development and validation of a nomogram for predicting the prognosis in cancer patients with sepsis.Cancer medicine · 2022Article
- Development of a Novel Nomogram Incorporating Red Blood Cell Distribution Width-Albumin Ratio for the Prediction of 30-day Mortality in Acute Pancreatitis Patients.Emergency medicine international · 2022Article
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Abstract
backgroundTo develop a multiparameter-based, easy-to-use nomogram and to predict the prognosis of cancer patients with sepsis in the intensive care unit (ICU).
methodsClinical data on cancer patients with sepsis who met the definition of sepsis 3.0 admitted to the ICU from January 2016 to October 2021 were collected. All patients were randomly entered into the development cohort or validation cohort according to the ratio of 7:3. Patients in the development cohort were divided into the survivors and the nonsurvivors according to the outcome of 28 days in ICU. The independent risk factors of mortality due to sepsis were screened out from the two groups (the survivors and the nonsurvivors) in the development cohort through multivariate logistic regression analysis. A nomogram was established with these independent risk factors, and the calibration plot was subsequently evaluated. Finally, the predictive power of the nomogram was verified in the validation cohort.
resultsA total of 317 cancer patients with sepsis who met the requirements were enrolled in this study, of which 229 entered into the development cohort and 88 entered into the validation cohort. The 28-day mortality rates of the two cohorts were 17.5% and 20.5%, respectively. The neutrophil-to-lymphocyte ratio (NLR) on day 3 (d3), brain natriuretic peptide (BNP) d3, fluid accumulation at 72 hours (h), and Sequential Organ Failure Assessment (SOFA) score were independent risk factors for the 28-day mortality between the survivors and the nonsurvivors in the development cohort. A nomogram was established on the above variables. The calibration plots fit well with the nomogram and had good statistical consistency in predicting the 28-day mortality of sepsis (the C value was 0.938 and 0.968 in the two cohorts, respectively). With a nomogram score of 83.8 points, the diagnostic accuracy was 90.8% vs 92.0%, the sensitivity was 72.5% vs 77.7%, the specificity was 94.7% vs 95.7%, the positive predictive value was 72.3% vs 82.4%, and the negative predictive value was 94.2% vs 94.4% for predicting the 28-day mortality in the development cohort and the validation cohort, respectively.
conclusionThis easy-to-use nomogram based on NLR d3, BNP d3, and fluid accumulation at 72 h and SOFA score provides an accurate 28-day prognosis prediction for cancer patients with sepsis admitted to the ICU.
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