体外膜肺氧合
医学
心肌梗塞
心脏病学
内科学
蒂米
射血分数
传统PCI
断奶
溶栓
经皮冠状动脉介入治疗
心源性休克
心力衰竭
作者
Atsushi Sugiura,Ryuzo Abe,Takashi Nakayama,Noriyuki Hattori,Yoshihide Fujimoto,Toshiharu Himi,Koichi Sano,Shigeto Oda,Yoshio Kobayashi
出处
期刊:Shock
[Lippincott Williams & Wilkins]
日期:2018-08-04
卷期号:51 (6): 690-697
被引量:31
标识
DOI:10.1097/shk.0000000000001220
摘要
AIM: While veno-arterial extracorporeal membrane oxygenation (VA-ECMO) has been utilized to resuscitate and stabilize hemodynamics in patients of acute myocardial infarction (AMI) complicated by cardiac arrest (CA), it is essential to predict the possibility of weaning from ECMO to determine further strategies, including use of ventricular assist device. We aimed to determine predictors of successful weaning from VA-ECMO in the early phase of ECMO treatment. METHODS: We identified consecutive patients of AMI complicated by CA treated with VA-ECMO and percutaneous coronary intervention (PCI). Clinical data within 48 h after ECMO initiation were assessed and multiple logistic regression analysis was performed to determine independent predictors of weaning outcome. RESULTS: Fifty-five patients were analyzed. While 28 (51%) patients were successfully weaned from VA-ECMO, 27 (49%) failed to wean. Multivariate analysis identified post-PCI thrombolysis in myocardial infarction (TIMI) flow grade (P = 0.046), mean arterial pressure (MAP) at 4 h after ECMO initiation (P = 0.010), and serum lactate at 24 h (P = 0.015) as independent predictors of successful weaning. Left ventricular ejection fraction (LVEF) at 24 and 48 h was significantly greater in the successful weaning group (P = 0.014, P = 0.025, respectively). CONCLUSIONS: Successful weaning from VA-ECMO was predicted by post-PCI TIMI flow grade, MAP at 4 h, and serum lactate at 24 h after VA-ECMO initiation in patients of AMI complicated by CA. Furthermore, in patients who failed to wean from ECMO, LVEF did not recover within 48 h. In such patients, adjunctive use of other circulatory mechanical devices must be considered.
科研通智能强力驱动
Strongly Powered by AbleSci AI