ArticleCritical care explorations2020
Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia.
Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Development and Validation of a Prognostic Risk Score for Patients With Cancer and Neutropenic Fever Presenting to the Emergency Department.Journal of the American College of Emergency Physicians open · 2026Article
- Continuous multidimensional physiological monitoring redefines early warning and preemptive treatment for neutropenic sepsis following cisplatin chemotherapy in non-small cell lung cancer.Frontiers in pharmacology · 2026Article
- Temperature Trajectory Subphenotypes in Oncology Patients with Neutropenia and Suspected Infection.American journal of respiratory and critical care medicine · 2023Article
- Erratum: Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia: Erratum.Critical care explorations · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neutropenia is a common side effect of myelosuppressive chemotherapy and is associated with adverse outcomes. Early Warning Scores are used to identify at-risk patients and facilitate rapid clinical interventions. Since few Early Warning Scores have been validated in patients with neutropenia, we aimed to create predictive models and nomograms of fever, ICU transfer, and mortality in hospitalized neutropenic patients.
designDevelopment of statistical prediction models and nomograms using data from a retrospective cohort study of hospitalized patients with neutropenia.
settingUniversity of Virginia Medical Center, a tertiary-care academic medical center in Charlottesville, VA. PATIENTS: The derivation and validation cohorts included hospitalized adult patients with neutropenia who were admitted to the inpatient wards between October 2010 and January 2015, and April 2017 and April 2020, respectively. We defined neutropenia as an absolute neutrophil count of less than 500 cells/mm
interventionsNone. MEASUREMENTS AND MAIN
resultsThe derivation cohort included 1,531 hospital admissions in patients with neutropenia. Fever, ICU transfer, and in-hospital mortality occurred in 955 admissions (62%), 297 admissions (19%), and 147 admissions (10%), respectively. In the derivation cohort, the internally validated area under the curves with 95% CI for the fever, ICU transfer, and mortality models were HYPERLINK "callto:0.74%20(0.67-0.84),%200.77"0.74 (0.67-0.84), 0.77 (0.67-0.86), and HYPERLINK "callto:0.95%20(0.0.87-1.0"0.95 (0.0.87-1.0), respectively. The validation cohort included 1,250 admissions in patients with neutropenia. In the validation cohort, the area under the curve (95% CI) for the fever, ICU transfer, and mortality models were HYPERLINK "callto:0.70%20(0.67-0.73),%200.78"0.70 (0.67-0.73), 0.78 (0.72-0.84), and HYPERLINK "callto:0.91%20(0.88-0.94"0.91 (0.88-0.94), respectively. Using these models, we developed clinically applicable nomograms which detected adverse events a median of 4.0-11.4 hours prior to onset.
conclusionsWe created predictive models and nomograms for fever, ICU transfer, and mortality in patients with neutropenia. These models could be prospectively validated to detect high-risk patients and facilitate early clinical intervention to improve patient outcomes.
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