• 床边肺部超声肺淤血分级对ST段抬高型心肌梗死合并肺淤血患者院内不良预后的预测价值
  • Predictive complicated by value of bedside pulmonary ultrasound in hospital death of patients with ST-segment elevation myocardial infarction
  • 李珊.床边肺部超声肺淤血分级对ST段抬高型心肌梗死合并肺淤血患者院内不良预后的预测价值[J].内科急危重症杂志,2026,32(3):250-253
    DOI:10.11768/nkjwzzzz20260309
    中文关键词:  肺部超声  心肌梗死  预测
    英文关键词:Pulmonary ultrasound  Myocardial infarction  Prediction
    基金项目:
    作者单位E-mail
    李珊 湖北省十堰市妇幼保健院超声医学科 307052832@qq.com 
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    中文摘要:
          摘要 目的:评估床边肺部超声检测(LUS)对ST段抬高型心肌梗死(STEMI)合并肺淤血患者院内死亡的预测价值。 方法:对243例STEMI患者经皮冠状动脉介入治疗(PCI)前进行LUS和Killip分级。根据是否并发肺淤血,分为肺淤血组和非肺淤血组。比较分析2组患者的临床资料。采用受试者工作特征曲线(ROC)分析肺淤血分级及Killip分级对STEMI患者院内死亡的预测价值。 结果:Logistic回归分析显示:年龄、性别、左室射血分数(LVEF)、肺淤血分级、Killip分级均是其影响因素(P均<0.05)。其中有肺淤血的STEMI患者死亡风险是无肺淤血者的4.813倍。Killip≥Ⅲ级STEMI患者死亡风险是Killip≤Ⅱ级患者的3.474倍。ROC分析显示: LUS检测肺淤血分级、Killip分级及两指标联合应用预测STEMI患者院内死亡的曲线下面积分别为0.756(95%Cl:0.600~0.953)、0.714(95%Cl:0.566~0.900)、0.785(95%Cl:0.628~0.981)。 结论 :LUS检测肺淤血分级结合Killip分级对STEMI患者不良预后有预测价值。
    英文摘要:
          Abstract Objective: To evaluate the predictive value of bedside lung ultrasound (LUS) for in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) complicated by pulmonary congestion. Methods: A total of 243 STEMI patients underwent LUS and Killip classification before percutaneous coronary intervention (PCI). Based on the presence or absence of pulmonary congestion, they were divided into a pulmonary congestion group and a non-pulmonary congestion group. Clinical data of both groups were compared and analyzed. The predictive value of pulmonary congestion grading and Killip classification for in-hospital mortality in STEMI patients was assessed by receiver operating characteristic curve analysis. Results: Logistic regression analysis revealed that age, gender, left ventricular ejection fractions(LVEF), pulmonary congestion grading, and Killip classification were all significant influencing factors (all P< 0.05). Patients with pulmonary congestion had a 4.813-fold higher risk of mortality than those without pulmonary congestion. Patients with Killip ≥ III had a 3.474-fold higher risk of mortality than those with Killip ≤ II. ROC analysis showed the areas under the curve for predicting in-hospital mortality in STEMI patients were 0.756 (95%CI: 0.600-0.953) for LUS-based pulmonary congestion grading, 0.714 (95%CI: 0.566-0.900) for Killip classification, and 0.785 (95%CI: 0.628-0.981) for the combined use of both indicators. Conclusion: LUS-based pulmonary congestion grading combined with Killip classification has predictive value for adverse outcomes in STEMI patients.