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Dataset Information

Applying a risk prediction model for bloodstream infection in a febrile, nonseverely neutropenic cohort of pediatric stem cell transplant patients.


ABSTRACT:

Background

The optimal management of febrile stem cell transplant (SCT) patients presenting without severe neutropenia (absolute neutrophil count [ANC] ≥ 500/µL) is unclear. The authors have developed iterative risk prediction models (Esbenshade Vanderbilt [EsVan] models) that reliably predict bloodstream infections (BSIs) in the febrile general pediatric oncology population without severe neutropenia, but SCT-specific data are limited.

Methods

All SCTs occurring from May 2005 to November 2019 at a single institution were identified. Episodes of fever with a central venous catheter and ANC values ≥ 500/µL were abstracted. All previous versions of the EsVan model were applied to the SCT data, and c-statistics were generated. The models were additionally applied to each type o

SUBMITTER: Jackson K 

PROVIDER: S-EPMC11792707 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature