首页> 外文期刊>Circulation journal >Early Prediction Model for Successful Bridge to Recovery in Patients With Fulminant Myocarditis Supported With Percutaneous Venoarterial Extracorporeal Membrane Oxygenation ― Insights From the CHANGE PUMP Study ―
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Early Prediction Model for Successful Bridge to Recovery in Patients With Fulminant Myocarditis Supported With Percutaneous Venoarterial Extracorporeal Membrane Oxygenation ― Insights From the CHANGE PUMP Study ―

机译:经皮静脉动静脉体外膜氧合支持的恶性心肌炎患者成功康复的早期预测模型-来自CHANGE PUMP研究的启示―

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Background: Cardiac recovery and prevention of end-organ damage are the cornerstones of establishing successful bridge to recovery (BTR) in patients with fulminant myocarditis (FM) supported with percutaneous venoarterial extracorporeal membrane oxygenation (VA-ECMO). However, the timing and method of successful BTR prediction still remain unclear. We aimed to develop a prediction model for successful BTR in patients with FM supported with percutaneous VA-ECMO. Methods?and?Results: This was a retrospective multicenter chart review enrolling 99 patients (52±16 years; female, 42%) with FM treated with percutaneous VA-ECMO. The S-group comprised patients who experienced percutaneous VA-ECMO decannulation and subsequent discharge (n=46), and the F-group comprised patients who either died in hospital or required conversion to other forms of mechanical circulatory support (n=53). At VA-ECMO initiation (0-h), the S-group had significantly higher left ventricular ejection fraction (LVEF) and lower aspartate aminotransferase (AST) concentration than the F-group. At 48 h, the LVEF, increase in the LVEF, and reduction of AST from 0-h were identified as independent predictors in the S-group. Finally, we developed an S-group prediction model comprising these 3 variables (area under the curve, 0.844; 95% confidence interval, 0.745–0.944). Conclusions: We developed a model for use 48 h after VA-ECMO initiation to predict successful BTR in patients with FM.
机译:背景:心脏恢复和预防终末器官损害是在经皮静脉动脉体外膜氧合作用(VA-ECMO)支持的暴发性心肌炎(FM)患者中建立成功恢复(BTR)的基石。但是,成功进行BTR预测的时间和方法仍不清楚。我们旨在建立经皮VA-ECMO支持的FM患者成功BTR的预测模型。方法和结果:这是一项回顾性多中心图表审查,纳入了经皮VA-ECMO治疗的FM的99例患者(52±16岁;女性,42%)。 S组包括经历了经皮VA-ECMO脱位和随后出院的患者(n = 46),F组包括在医院死亡或需要转换为其他形式的机械循环支持的患者(n = 53)。在VA-ECMO启动(0-h)时,S组的左心室射血分数(LVEF)明显高于F组,而天冬氨酸转氨酶(AST)浓度较低。在48小时时,LVEF,LVEF的增加和AST从0小时开始的降低被确定为S组的独立预测因子。最后,我们开发了一个由这3个变量组成的S组预测模型(曲线下面积0.844; 95%置信区间0.745-0.944)。结论:我们开发了一个模型,用于在VA-ECMO启动后48小时内预测FM患者的成功BTR。

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