Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury

The column chart model, incorporating age, diabetes, tracheotomy, operation time, sputum excretion position, mechanical ventilation duration and GCS score, can effectively predict pulmonary infections in severe traumatic brain injury patients.

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Publication Details

Journal
Infection and Drug Resistance
Published
2025-02-01
DOI
https://doi.org/10.2147/idr.s488933
Citations
2
Primary Topic
Nosocomial Infections in ICU
Type
article
Field-Weighted Citation Impact
3.09
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article

Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury

Gaoyi Wu, Jing Chen, Xianfei Zhong
2 citations
Infection and Drug Resistance
Nosocomial Infections in ICU
3.09
article

Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury

Gaoyi Wu, Jing Chen, Xianfei Zhong
article en
2 citations

Abstract

The column chart model, incorporating age, diabetes, tracheotomy, operation time, sputum excretion position, mechanical ventilation duration and GCS score, can effectively predict pulmonary infections in severe traumatic brain injury patients.

Infection and Drug ResistanceVol. Volume 18
Wenzhou Central Hospital (CN)
Good health and well-being
Openalex Percentile: Top 12%
Nosocomial Infections in ICU
3.09
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Analysis of Influencing Factors and Construction of a Column Chart Model for Postoperative Pulmonary Infection in Patients With Severe Traumatic Brain Injury — Gaoyi Wu, Jing Chen, et al. · Infection and Drug Resistance (2025) | TGRS Research Map | TGRS