首页|心源性呼吸衰竭机械通气撤机失败相关风险及预测指标分析

心源性呼吸衰竭机械通气撤机失败相关风险及预测指标分析

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目的 探讨心源性呼吸衰竭机械通气撤机失败相关风险因素及预测价值.方法 选取 2019 年 1 月至 2022 年7 月在如皋市中医院治疗的心源性呼吸衰竭患者 80 例,根据是否成功拔除气管插管,将患者分为撤机成功组(n=67)和撤机失败组(n=13),分析 2 组患者临床资料、超声参数等差异,分析影响机械通气撤机成功与否的因素.结果 撤机失败组年龄、高血压比例、氨基末端脑利钠肽前体(NT-proBNP)、降钙素原(PCT)、C反应蛋白(CRP)和急性生理与慢性健康(APACHEⅡ评分)高于撤机成功组(P<0.05);撤机失败组收缩期左心房面积(LAA)为(23.40±2.84)cm2,高于撤机成功组评分Ⅱ(P<0.05);lo-gistic回归分析显示:年龄、NT-proBNP、PCT、CRP、APACHEⅡ评分和LAA是撤机失败的影响因素(P<0.05);预测撤机失败的受试者操作特征(ROC)曲线下面积为 0.834(95%CI:0.724~0.944),P<0.05,灵敏度和特异度分别为 84.60%和 68.40%.结论 心源性呼吸衰竭机械通气撤机成功与否受患者年龄、NT-proBNP、PCT、CRP、APACHEⅡ评分和LAA的影响,构建logis-tic回归模型预测撤机失败有一定应用价值.
Risk factor and predictive index of mechanical ventilation withdrawal failure in patients with cardiogenic respiratory failure
Objective To investigate the risk factors and predictive value of mechanical ventilation withdrawal failure in patients with cardiogenic respiratory failure.Methods Eighty patients with cardiogenic respiratory failure who were treated in our Rugao Hospital of Traditional Chinese Medicine from January 2019 to July 2022 were enrolled in this study.They were divided into successful withdrawal group(n=67)and failed withdrawal group(n=13)according to the results of tracheal extubation.Clinical data and ultrasonic parameters were compared between the two groups.The influence factors of mechanical ventilation withdrawal were analyzed.Results The age,proportion of patients with hypertension,the levels of N-terminal precursor of B-type natriuretic peptide(NT-proBNP),procalcitonin(PCT),and C-reactive protein(CRP),acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,and systolic left atrial area(LAA)in the failed withdrawal group,were significantly higher than those in the successful withdrawal group(P<0.05).Logistic regression analysis showed that age,NT-proBNP,PCT,CRP,APACHE Ⅱ score and LAA were the influencing factors of mechanical ventilation withdrawal failure in patients with cardiogenic respiratory failure(P<0.05).The area under the ROC curve for predicting withdrawal failure was 0.834(95%CI:0.724-0.944,P<0.05),and the sensitivity and specificity were 84.60%and 68.40%,respectively.Conclusion The mechanical ventilation withdrawal is influenced by age,NT-proBNP,PCT,CRP,APACHE Ⅱ score and LAA in patients with cardiac respiratory failure.The construction of logistic regression model may help to predict the withdrawal failure.

Cardiogenic respiratory failureMechanical ventilationWithdrawalInfluence factorsPredictive value

周铁君、马菲菲、陆宝荣、彭智丽

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226500 江苏 南通,如皋市中医院重症医学科

心源性呼吸衰竭 机械通气 撤机 影响因素 预测价值

2024

海军医学杂志
海军医学研究所

海军医学杂志

CSTPCD
影响因子:0.518
ISSN:1009-0754
年,卷(期):2024.45(12)