Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON®-Monitoring

QFM can be used to predict the immune-status of patients in the context of healthcare-associated infections. These findings provide important insights into the current understanding of pneumonia treatment and recovery.

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Publication Details

Journal
Infection and Drug Resistance
Published
2025-03-01
DOI
https://doi.org/10.2147/idr.s499765
Primary Topic
Nosocomial Infections in ICU
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON®-Monitoring

Min Wook So, Doosoo Jeon, Taehwa Kim, Eunjeong Son et al.
Infection and Drug Resistance
Nosocomial Infections in ICU
article

Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON®-Monitoring

Min Wook So, Doosoo Jeon, Taehwa Kim, Eunjeong Son, Hye Ju Yeo, Yun Seong Kim, Seung Won Lee
article en

Abstract

QFM can be used to predict the immune-status of patients in the context of healthcare-associated infections. These findings provide important insights into the current understanding of pneumonia treatment and recovery.

Infection and Drug ResistanceVol. Volume 18
Pusan National University Hospital (KR), Pusan National University Yangsan Hospital (KR), Pusan National University (KR)
Zero hunger
Openalex Percentile: Top 94%
Nosocomial Infections in ICU
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Predicting Healthcare-Associated Infection in Patients with Pneumonia via QuantiFERON®-Monitoring — Min Wook So, Doosoo Jeon, et al. · Infection and Drug Resistance (2025) | TGRS Research Map | TGRS