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Dataset Information

A predictive model for Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis.


ABSTRACT:

Background

Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis (EBV-HLH) is a severe hyperinflammatory disorder induced by overactivation of macrophages and T cells. This study aims to identify the risk factors for the progression from infectious mononucleosis (EBV-IM) to EBV-HLH, by analyzing the laboratory parameters of patients with EBV-IM and EBV-HLH and constructing a clinical prediction model. The outcome of this study carries important clinical value for early diagnosis and treatment of EBV-HLH.

Methods

A retrospective analysis was conducted on 60 patients diagnosed with EBV-HLH and 221 patients diagnosed with EBV-IM at our hospital between November 2018 and January 2024. Participants were randomly assigned to derivation and internal validation cohorts in

SUBMITTER: Huang R 

PROVIDER: S-EPMC11655318 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature