重型颅脑损伤患者呼吸机相关性肺炎危险因素及预后分析

Q3 Medicine
Qinghua Lin, Huili Guo, Lin Qu, Lianzhen Qi
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引用次数: 0

摘要

目的:分析重型颅脑损伤患者呼吸机相关性肺炎(VAP)的危险因素及预后。方法:采用前瞻性观察研究。选取2020年1月至2022年12月邢台医学院第二附属医院收治的重型颅脑损伤患者作为研究对象。根据VAP发生情况将患者分为VAP组和非VAP组。将VAP患者进一步分为低危组[SOFA评分0-5分]、中危组(SOFA评分6-8分)和高危组(SOFA评分≥9分)。比较一般资料、血清学指标[白细胞介素-6 (IL-6)、白细胞介素-1β (IL-1β)、肿瘤坏死因子-α (TNF-α)、转录信号传导和激活因子3 (STAT3)]和28天预后(以死亡率为终点事件)。采用多因素Logistic回归确定VAP和28天死亡率的危险因素。采用线性回归分析危险因素与预后的相关性。结果:共纳入140例重型颅脑损伤患者,其中VAP组49例,非VAP组91例。受伤的主要原因是交通事故,其次是坠落和重物撞击。VAP患者28天内存活38例,死亡11例;112例为低风险,25例为中等风险,12例为高风险。不同亚组患者在年龄、体重指数(BMI)、吸烟史、高血压、糖尿病、高脂血症、住院时间、机械通气时间、血清白蛋白水平、吸痰次数等方面均存在显著差异。血清学上,VAP组IL-1β、TNF-α、IL-6、STAT3 mRNA表达水平均显著高于非VAP组。与幸存者相比,死亡的VAP患者表现出更高的IL-1β、TNF-α、IL-6和STAT3 mRNA水平。这些生物标志物从低风险亚组逐渐增加到高风险亚组。多因素Logistic回归确定年龄[比值比(OR)分别为0.328和0.318]、BMI (OR分别为0.340和0.268)、高血压(OR分别为0.275和0.245)、糖尿病(OR分别为0.319和0.307)、高脂血症(OR分别为0.228和0.235)、吸烟史(OR分别为0.255和0.240)、住院时间(OR分别为0.306和0.230)、机械通气持续时间(OR分别为0.247和0.219)、吸痰频率(OR分别为0.325和0.228)、IL-1β (OR分别为0.231和0.259)、TNF-α (OR分别为0.308和0.235)、IL-6 (OR分别为0.298和0.277)和STAT3 (OR分别为0.259和0.265)是VAP发生和28天死亡率的独立危险因素(均P < 0.05)。相关性分析显示血清白蛋白水平与VAP的发生、死亡率呈负相关(P < 0.01),其他因素呈正相关(P < 0.01)。结论:年龄、BMI、住院时间、机械通气时间、吸痰次数、高血压、糖尿病、高脂血症、吸烟史、IL-1β、TNF-α、IL-6/STAT3信号通路激活与重型颅脑损伤患者VAP发生及预后不良有显著相关性,为临床针对性干预提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Analysis of risk factors for ventilator-associated pneumonia and its prognosis in patients with severe craniocerebral injury].

Objective: To analyze the risk factors for ventilator-associated pneumonia (VAP) and its prognosis in patients with severe craniocerebral injury.

Methods: A prospective observational study was conducted. Patients with severe craniocerebral injury admitted to the Second Affiliated Hospital of Xingtai Medical College from January 2020 to December 2022 were enrolled as the study subjects. Patients were divided into VAP group and non-VAP group based on the occurrence of VAP. VAP patients were further stratified into low-risk group [sequential organ failure assessment (SOFA) score 0-5], moderate-risk group (SOFA score 6-8), and high-risk group (SOFA score ≥ 9). General data, serological indicators [interleukin-6 (IL-6), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and signal transducer and activator of transcription 3 (STAT3)], and 28-day prognosis (with mortality as the endpoint event) were compared. Multivariate Logistic regression was used to identify risk factors for VAP and 28-day mortality. Linear regression was applied to analyze the correlations between risk factors and outcomes.

Results: A total of 140 patients with severe craniocerebral injury were enrolled, including 49 in the VAP group and 91 in the non-VAP group. The primary cause of injury was traffic accidents, followed by falls and heavy object impacts. Among VAP patients, 38 survived and 11 died within 28 days; 112 were classified as low-risk, 25 as moderate-risk, and 12 as high-risk. Significant differences were observed in age, body mass index (BMI), smoking history, hypertension, diabetes, hyperlipidemia, length of hospital stay, duration of mechanical ventilation, serum albumin levels, and frequency of sputum suction among different subgroups. Serologically, IL-1β, TNF-α, IL-6, and STAT3 mRNA expression levels in the VAP group were significantly higher than those in the non-VAP group. Deceased VAP patients exhibited higher IL-1β, TNF-α, IL-6, and STAT3 mRNA levels compared to survivors. These biomarkers progressively increased from low-risk to high-risk subgroups. Multivariate Logistic regression identified age [odds ratio (OR) were 0.328 and 0.318], BMI (OR were 0.340 and 0.268), hypertension (OR were 0.275 and 0.245), diabetes (OR were 0.319 and 0.307), hyperlipidemia (OR were 0.228 and 0.235), smoking history (OR were 0.255 and 0.240), length of hospital stay (OR were 0.306 and 0.230), duration of mechanical ventilation (OR were 0.247 and 0.219), frequency of sputum suction (OR were 0.325 and 0.228), IL-1β (OR were 0.231 and 0.259), TNF-α (OR were 0.308 and 0.235), IL-6 (OR were 0.298 and 0.277), and STAT3 (OR were 0.259 and 0.265) as independent risk factors for both VAP occurrence and 28-day mortality (all P < 0.05). Correlation analysis revealed that serum albumin levels were negatively correlated with VAP occurrence and mortality (all P < 0.01), while other factors showed positive correlations (all P < 0.01).

Conclusions: Age, BMI, length of hospital stay, duration of mechanical ventilation, frequency of sputum suction, hypertension, diabetes, hyperlipidemia, smoking history, IL-1β, TNF-α, and IL-6/STAT3 signaling pathway activation are significantly associated with VAP development and poor prognosis in patients with severe craniocerebral injury, providing a scientific basis for targeted clinical interventions.

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来源期刊
Zhonghua wei zhong bing ji jiu yi xue
Zhonghua wei zhong bing ji jiu yi xue Medicine-Critical Care and Intensive Care Medicine
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