Wu Gaoyi, Zhong Xiwen, Chen Jing
Department of Emergency, Wenzhou Central Hospital, Wenzhou City, Zhejiang Province, 325000, People's Republic of China.
Department of Gynaecology and Obstetrics, Wenzhou Central Hospital, Wenzhou City, Zhejiang Province, 325000, People's Republic of China.
Infect Drug Resist. 2025 Feb 7;18:745-755. doi: 10.2147/IDR.S488933. eCollection 2025.
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.
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.
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.
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.
分析重型颅脑损伤患者术后肺部感染的影响因素,建立并验证柱状图预测模型。
对2022年1月至2024年3月我院收治的314例重型颅脑损伤患者进行回顾性研究。将其随机分为内部验证组235例和外部验证组79例。内部验证组又分为感染组73例和非感染组162例。所有患者均进行病原体检测与鉴定。
73例并发肺部感染患者共分离出96株病原体。重型颅脑损伤患者术后肺部感染的独立危险因素包括年龄≥60岁、糖尿病、气管切开、手术时间≥4小时、仰卧位咳痰、机械通气时间≥7天以及格拉斯哥昏迷量表(GCS)评分<8分机械通气时间(P<0.05)。构建的柱状图预测模型具有较高的区分度、校准度和临床实用价值。
纳入年龄、糖尿病、气管切开、手术时间、咳痰体位、机械通气时间和GCS评分的柱状图模型可有效预测重型颅脑损伤患者的肺部感染。