Liu Yexing, Peng Yanzeng, Hu Yuding, Liu Chao
Department of Critical Care Medicine, the Second Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei, China. Corresponding author: Liu Chao, Email:
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2025 Jun;37(6):535-541. doi: 10.3760/cma.j.cn121430-20240409-00321.
To investigate the interaction between α-amylase (α-AMS) and inflammatory response in patients with ventilator-associated pneumonia (VAP) and their predictive value for prognosis.
A prospective cohort study was conducted. Patients with mechanical ventilation who were treated in the intensive care unit (ICU) of the Second Hospital of Hebei Medical University from June 2020 to June 2023 were enrolled, and the patients were divided into VAP group and non-VAP group according to whether VAP occurred. VAP patients were stratified into mild [acute physiology and chronic health evaluation II (APACHE II) < 10 scores], moderate (APACHE II were 10-20 scores), and severe (APACHE II > 20 scores) groups based on the APACHE II. All patients were followed up for 28 days. In addition, healthy subjects who underwent health examination in our hospital at the same time were selected as the healthy control group. Baseline data including gender, age, mechanical ventilation mode, mechanical ventilation time, underlying diseases, drug use, and laboratory test indicators were collected. The serum levels of α-AMS, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP) and other inflammatory factors were analyzed and compared. Pearson correlation analysis was performed to analyze the correlation between serum α-AMS and inflammatory factors. Logistic regression was used to analyze the influencing factors of poor prognosis in patients with VAP. The receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive value of α-AMS on the poor prognosis of patients with VAP.
A total of 100 mechanically ventilated patients were enrolled, including 60 cases in the VAP group and 40 cases in the non-VAP group. Among the patients with VAP, there were 24 cases in the mild group, 20 cases in the moderate group, and 16 cases in the severe group. A total of 44 patients survived at 28 days, while 16 died. Additionally, 100 healthy individuals were included as the healthy control group. Serum levels of α-AMS, IL-6, TNF-α and CRP in the VAP group were significantly higher than those in the non-VAP group and the healthy control group, while the levels of α-AMS, IL-6, TNF-α and CRP in the non-VAP group were significantly higher than those in the healthy control group. There were statistically significant differences in serum α-AMS, IL-6, TNF-α, CRP levels and APACHE II scores among VAP patients with different disease severities, and the levels of the above indicators in the severe group were significantly higher than those in the moderate group and mild group, and the levels of the above indicators in the moderate VAP group were significantly higher than those in the mild group. Pearson correlation analysis showed that serum α-AMS was positively correlated with IL-6, TNF-α, CRP, and APACHE II scores (r values were 0.404, 0.392 and 0.493, 0.493, all P < 0.01). Univariate analysis showed that age, mechanical ventilation, diabetes mellitus, ventilation time, ventilation position, prophylactic use of antimicrobial drugs, and serum α-AMS, IL-6, TNF-α, CRP, and APACHE II scores were correlated with the prognosis of VAP patients (all P < 0.05). Multivariate Logistic regression analysis identified age [odds ratio (OR) = 1.340, 95% confidence interval (95%CI) was 1.119-1.605], tracheostomy (OR = 3.050, 95%CI was 1.016-9.157), diabetes mellitus (OR = 1.379, 95%CI was 1.102-1.724), and ventilation time ≥ 7 days (OR = 2.557, 95%CI was 1.163-5.623) and serum α-AMS (OR = 1.428, 95%CI was 1.098-1.856), IL-6 (OR = 1.543, 95%CI was 1.005-2.371), TNF-α (OR = 2.228, 95%CI was 1.107-4.485), CRP (OR = 1.252, 95%CI was 1.131-1.387), APACHE II scores (OR = 1.422, 95%CI was 1.033-1.957) were independent influencing factors for the 28-day prognosis of patients with VAP (all P < 0.05). ROC curve analysis demonstrated that serum α-AMS, IL-6, TNF-α and CRP exhibited significant predictive performance on the prognosis of patients with VAP. The best cut-off value for α-AMS had a sensitivity of 81.3%, specificity of 75.0%, and an area under the ROC curve (AUC) of 0.791, which was significantly higher than those of inflammatory markers IL-6, TNF-α, and CRP (P < 0.05). The combined parameter diagnostic performance was significantly better than those of individual parameters (P < 0.05), with the highest diagnostic performance when combined, corresponding to an AUC of 0.868 (95%CI was 0.798-0.938), sensitivity of 87.5%, and specificity of 79.5%.
VAP in mechanically ventilated patients can lead to an increase in the levels of peripheral blood α-AMS and inflammatory factors, and there is an interaction between α-AMS and inflammatory markers in severe VAP patients. These markers are closely related to the severity of the disease and prognosis and have significant implications for predicting patient outcomes.
探讨α-淀粉酶(α-AMS)与呼吸机相关性肺炎(VAP)患者炎症反应之间的相互作用及其对预后的预测价值。
进行一项前瞻性队列研究。纳入2020年6月至2023年6月在河北医科大学第二医院重症监护病房(ICU)接受机械通气治疗的患者,根据是否发生VAP将患者分为VAP组和非VAP组。VAP患者根据急性生理与慢性健康状况评分系统II(APACHE II)分为轻度(APACHE II<10分)、中度(APACHE II为10 - 20分)和重度(APACHE II>20分)组。所有患者随访28天。此外,选取同期在我院进行健康体检的健康受试者作为健康对照组。收集包括性别、年龄、机械通气模式、机械通气时间、基础疾病、药物使用及实验室检查指标等基线数据。分析比较血清α-AMS、白细胞介素-6(IL-6)、肿瘤坏死因子-α(TNF-α)、C反应蛋白(CRP)等炎症因子水平。采用Pearson相关分析血清α-AMS与炎症因子之间的相关性。采用Logistic回归分析VAP患者预后不良的影响因素。绘制受试者工作特征曲线(ROC曲线)评估α-AMS对VAP患者预后不良的预测价值。
共纳入100例机械通气患者,其中VAP组60例,非VAP组40例。VAP患者中,轻度组24例,中度组20例,重度组16例。28天共有44例患者存活,16例死亡。另外,纳入100名健康个体作为健康对照组。VAP组血清α-AMS、IL-6、TNF-α和CRP水平显著高于非VAP组和健康对照组,非VAP组血清α-AMS、IL-6、TNF-α和CRP水平显著高于健康对照组。不同疾病严重程度的VAP患者血清α-AMS、IL-6、TNF-α、CRP水平及APACHE II评分差异有统计学意义,重度组上述指标水平显著高于中度组和轻度组,中度VAP组上述指标水平显著高于轻度组。Pearson相关分析显示血清α-AMS与IL-6、TNF-α、CRP及APACHE II评分呈正相关(r值分别为0.404、0.392、0.493、0.493,均P<0.01)。单因素分析显示年龄、机械通气、糖尿病、通气时间、通气部位、预防性使用抗菌药物及血清α-AMS、IL-6、TNF-α、CRP和APACHE II评分与VAP患者预后相关(均P<0.05)。多因素Logistic回归分析确定年龄[比值比(OR)=1.340,95%置信区间(95%CI)为1.119 - 1.605]、气管切开(OR = 3.050,95%CI为1.016 - 9.157)、糖尿病(OR = 1.379,95%CI为1.102 - 1.724)、通气时间≥7天(OR = 2.557,95%CI为1.163 - 5.623)及血清α-AMS(OR = 1.428,95%CI为1.098 - 1.856)、IL-6(OR = 1.543,95%CI为1.005 - 给2.进行371)、TNF-α(OR = 2.228,95%CI为1.107 - 4.485)、CRP(OR = 1.252,95%CI为1.131 - 1.387)、APACHE II评分(OR = 1.422,95%CI为1.033 - 1.957)是VAP患者28天预后的独立影响因素(均P<0.05)。ROC曲线分析表明血清α-AMS、IL-6、TNF-α和CRP对VAP患者预后具有显著预测性能。α-AMS的最佳截断值灵敏度为81.3%,特异度为75.0%,ROC曲线下面积(AUC)为0.791,显著高于炎症标志物IL-6、TNF-α和CRP(P<0.05)。联合参数诊断性能显著优于单个参数(P<0.05),联合时诊断性能最高,对应AUC为0.868(95%CI为0.798 - 0.给938),灵敏度为87.5%,特异度为79.5%。
机械通气患者发生VAP可导致外周血α-AMS和炎症因子水平升高,重度VAP患者中α-AMS与炎症标志物之间存在相互作用。这些标志物与疾病严重程度和预后密切相关,对预测患者结局具有重要意义。