Who is at risk? Clinical features and a predictive model for 30-day mortality in hematologic patients with enterococcal bloodstream infection

In hematologic patients, EBSIs commonly arise as breakthrough infections despite broad-spectrum antibiotic coverage, most often associated with mucosal barrier injury. Our parsimonious risk score enables early identification of patients at high risk of 30-day mortality to guide timely interventions.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2026-03-03
DOI
https://doi.org/10.3389/fcimb.2026.1762404
Primary Topic
Neutropenia and Cancer Infections
Type
article
Field-Weighted Citation Impact
0.00

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article

Who is at risk? Clinical features and a predictive model for 30-day mortality in hematologic patients with enterococcal bloodstream infection

Zhijian Xiao, F. Zhang, S. feng, L. Qiu et al.
Frontiers in Cellular and Infection Microbiology
Neutropenia and Cancer Infections
article

Who is at risk? Clinical features and a predictive model for 30-day mortality in hematologic patients with enterococcal bloodstream infection

Zhijian Xiao, F. Zhang, S. feng, L. Qiu, Yizhou Zheng, Erlie Jiang, Sisi Zhen, Nuobing Yang, Mingzhe Han, Yuping Fan, Jianxiang Wang, Tingting Zhang, Xin Chen, Yingchang Mi
article en

Abstract

In hematologic patients, EBSIs commonly arise as breakthrough infections despite broad-spectrum antibiotic coverage, most often associated with mucosal barrier injury. Our parsimonious risk score enables early identification of patients at high risk of 30-day mortality to guide timely interventions.

Frontiers in Cellular and Infection MicrobiologyVol. 16
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Clinical Research (US), Institute of Hematology & Blood Diseases Hospital (CN)
Beijing Xisike Clinical Oncology Research Foundation, Chinese Academy of Medical Sciences, Peking Union Medical College, National Science and Technology Major Project, Fundamental Research Funds for the Central Universities
Reduced inequalities
Openalex Percentile: Top 34%
Neutropenia and Cancer Infections
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Who is at risk? Clinical features and a predictive model for 30-day mortality in hematologic patients with enterococcal bloodstream infection — Zhijian Xiao, F. Zhang, et al. · Frontiers in Cellular and Infection Microbiology (2026) | TGRS Research Map | TGRS