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作 者:李晓临[1] 戴忠红[1] 陈聂 Li Xiao-lin;Dai Zhong-hong;Chen Nie(Department of Critical Care Medicine,Chongzhou People's Hospital,Chongzhou,Sichuan 611200,China)
机构地区:[1]崇州市人民医院重症医学科
出 处:《中国现代医学杂志》2025年第5期90-96,共7页China Journal of Modern Medicine
基 金:四川省科技计划研发项目(No:2022YFS0262)。
摘 要:目的分析慢性阻塞性肺疾病(COPD)重症机械通气患者并发急性胃肠损伤的影响因素并构建预测模型。方法选取2019年6月—2024年6月在崇州市人民医院接受机械通气治疗的91例COPD重症患者为研究对象,根据是否发生急性胃肠损伤分为并发组22例(出现急性胃肠损伤)与非并发组69例(未出现急性胃肠损伤),对两组患者的临床资料进行单因素分析,并将差异有统计学意义的因素纳入多因素逐步Logistic回归模型,基于影响因素构建预测模型并评估该模型的预测效能。结果并发组的插管时间长于非并发组(P<0.05),APACHEⅡ评分高于非并发组(P<0.05),肺氧合指数低于非并发组(P<0.05),呼吸机相关肺炎和病变累及多肺叶的占比均高于非并发组(P<0.05)。多因素逐步Logistic回归分析结果显示,插管时间长[O^R=0.096(95%CI:0.014,0.637)]、有呼吸机相关肺炎[O^R=8.226(95%CI:1.980,34.180)]、病变累及多肺叶[O^R=9.411(95%CI:1.961,45.163)]、高APACHEⅡ评分[O^R=3.267(95%CI:1.171,9.113)]、低肺氧合指数(P/F)[O^R=0.053(95%CI:0.008,0.344)]均是COPD重症机械通气并发急性胃肠损伤的危险因素(P<0.05)。根据自变量的偏回归系数建立预测模型,并构建列线图。该模型的曲线下面积为0.980,敏感性为95.5%(95%CI:0.772,0.999),特异性为95.7%(95%CI:0.878,0.991),模型具有良好的拟合校准曲线。结论插管时间长、有呼吸机相关肺炎、病变累及多肺叶、高APACHEⅡ评分及低P/F是COPD重症机械通气并发急性胃肠损伤的独立危险因素,基于上述影响因素构建的预测模型可以准确预测COPD重症机械通气并发急性胃肠损伤的风险。Objective To analyze risk factors and construct a prediction model for acute gastrointestinal injury(AGI)in severe chronic obstructive pulmonary disease(COPD)patients requiring mechanical ventilation.Methods A total of 91 severe COPD patients receiving mechanical ventilation at Chongzhou People's Hospital from June 2019 to June 2024 were enrolled.Participants were stratified into two groups:AGI group(n=22)and non-AGI group(n=69).Clinical variables were compared using univariate analysis,and statistically significant factors were incorporated into a multivariate stepwise Logistic regression model.A nomogram prediction model was developed and its efficacy validated.Results The AGI group exhibited significantly prolonged intubation duration(P<0.05),higher APACHEⅡscores(P<0.05),lower PaO_(2)/FiO_(2) ratios(P<0.05),and increased incidence of ventilatorassociated pneumonia(VAP)and multilobar lung involvement compared to the non-AGI group(both P<0.05).Multivariate analysis identified independent risk factors:prolonged intubation[O^R=0.096(95%CI:0.014,0.637)],VAP[O^R=8.226(95%CI:1.980,34.180)],multilobar involvement[O^R=9.411(95%CI:1.961,45.163)],elevated APACHEⅡscore[O^R=3.267(95%CI:1.171,9.113)],and reduced PaO_(2)/FiO_(2) ratio[O^R=0.053(95%CI:0.008,0.344)](all P<0.05).The nomogram demonstrated excellent discrimination(AUC=0.980)with sensitivity of 95.5%(95%CI:0.772,0.999)and specificity of 95.7%(95%CI:0.878,0.991),coupled with favorable calibration.Conclusion Prolonged intubation,VAP,multilobar lung involvement,high APACHEⅡscores,and impaired oxygenation are independent predictors of AGI in mechanically ventilated COPD patients.The validated nomogram provides a clinically actionable tool for early risk stratification.
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