Confronting the “lethal duo” in the ICU: early identification of Aspergillus–Mucorales co-infection using a clinical-immuno-inflammatory signature

Background: in the intensive care unit (ICU) represents a devastating syndrome with high mortality that is frequently clinically occult. Clinically distinguishing this co-infection from invasive pulmonary aspergillosis (IPA) is challenging but critical for tailoring precise antifungal strategies. Methods: infection and 18 with co-infection) admitted between 2017 and 2025. We compared clinical characteristics, inflammatory markers, and immunophenotypes between groups. A three-stage variable selection strategy integrating univariable regression pre-screening, multi-algorithm importance ranking (LASSO, Ridge, and Random Forest), and clinical applicability filtering was employed to identify predictors for a multivariable logistic regression nomogram. Results: = 0.849) and stability on internal validation (cross-validated AUC = 0.860). Conclusion: -active therapy to improve prognosis.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2026-04-22
DOI
https://doi.org/10.3389/fcimb.2026.1779186
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
0.00

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article

Confronting the “lethal duo” in the ICU: early identification of Aspergillus–Mucorales co-infection using a clinical-immuno-inflammatory signature

Hongqiang Xie, Junjie Cui, Jiaxu Gu, B Wang et al.
Frontiers in Cellular and Infection Microbiology
Antifungal resistance and susceptibility
article

Confronting the “lethal duo” in the ICU: early identification of Aspergillus–Mucorales co-infection using a clinical-immuno-inflammatory signature

Hongqiang Xie, Junjie Cui, Jiaxu Gu, B Wang, Beiyuan Zhang, Yonghui Cui, Yi Li, Mengwen Feng, Ming Chen
article en

Abstract

Background: in the intensive care unit (ICU) represents a devastating syndrome with high mortality that is frequently clinically occult. Clinically distinguishing this co-infection from invasive pulmonary aspergillosis (IPA) is challenging but critical for tailoring precise antifungal strategies. Methods: infection and 18 with co-infection) admitted between 2017 and 2025. We compared clinical characteristics, inflammatory markers, and immunophenotypes between groups. A three-stage variable selection strategy integrating univariable regression pre-screening, multi-algorithm importance ranking (LASSO, Ridge, and Random Forest), and clinical applicability filtering was employed to identify predictors for a multivariable logistic regression nomogram. Results: = 0.849) and stability on internal validation (cross-validated AUC = 0.860). Conclusion: -active therapy to improve prognosis.

Frontiers in Cellular and Infection MicrobiologyVol. 16
Xuzhou Medical College (CN), Nanjing Drum Tower Hospital (CN), Peking University Shenzhen Hospital (CN)
Jiangsu Commission of Health
Good health and well-being
Openalex Percentile: Top 19%
Antifungal resistance and susceptibility
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Confronting the “lethal duo” in the ICU: early identification of Aspergillus–Mucorales co-infection using a clinical-immuno-inflammatory signature — Hongqiang Xie, Junjie Cui, et al. · Frontiers in Cellular and Infection Microbiology (2026) | TGRS Research Map | TGRS