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

IF 2.9 3区 医学 Q2 INFECTIOUS DISEASES
Infection and Drug Resistance Pub Date : 2025-02-07 eCollection Date: 2025-01-01 DOI:10.2147/IDR.S488933
Gaoyi Wu, Xiwen Zhong, Jing Chen
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引用次数: 0

Abstract

Objective: To analyze the influencing factors of postoperative pulmonary infection in patients with severe traumatic brain injury, and establish and validate a column chart prediction model.

Methods: A retrospective study was conducted on 314 patients with severe traumatic brain injury in our hospital from January 2022 to March 2024. They were separated into an internal validation group of 235 cases and an external validation group of 79 cases randomly. The internal validation group was grouped into an infection group of 73 cases and an non-infection group of 162 cases. All patients underwent pathogen detection and identification.

Results: A total of 96 strains of pathogens were isolated from 73 patients with concurrent pulmonary infections. Independent risk factors for postoperative pulmonary infection in patients with severe TBI included age ≥ 60 years, diabetes, tracheotomy, operation time ≥ 4 hours, sputum excretion in the supine position, mechanical ventilation duration ≥ 7 days, and GCS score < 8 points mechanical ventilation duration (P<0.05). The constructed column chart prediction model had high discrimination, calibration, and clinical practical value.

Conclusion: 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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来源期刊
Infection and Drug Resistance
Infection and Drug Resistance Medicine-Pharmacology (medical)
CiteScore
5.60
自引率
7.70%
发文量
826
审稿时长
16 weeks
期刊介绍: About Journal Editors Peer Reviewers Articles Article Publishing Charges Aims and Scope Call For Papers ISSN: 1178-6973 Editor-in-Chief: Professor Suresh Antony An international, peer-reviewed, open access journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventative strategies to minimize the development and spread of resistance.
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