Department of Cardiothoracic Anaesthesia and Intensive Care, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Anesthesiology and Intensive Care Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Cardiothoracic Anaesthesia and Intensive Care, Sahlgrenska University Hospital, Gothenburg, Sweden.
J Cardiothorac Vasc Anesth. 2024 Dec;38(12):3018-3028. doi: 10.1053/j.jvca.2024.09.009. Epub 2024 Sep 17.
Extracorporeal cardiopulmonary resuscitation (ECPR) can save patients with refractory cardiac arrest; however, according to recent meta-analyses, only 20% of patients achieve favorable outcomes (Modified Rankin Scale 0-3). We aimed to develop and validate an ECPR prediction model to improve patient selection.
Prognostic model development and internal validation study.
Single-center study.
All 120 normothermic ECPR patients treated at Sahlgrenska University Hospital between January 2010 and October 2021.
None.
Multivariable logistic regression was used to develop the PRognostic Evaluation of ECPR (Pre-ECPR) score. Model performance was assessed through the area under curve (AUC) and compared with the Extracorporeal Life Support Organization (ELSO) "Example of selection criteria for ECPR" for 1-year survival with favorable outcomes. The positive predictive value (PPV) was calculated. Favorable outcomes occurred in 27.5% of the patients. The Pre-ECPR score, incorporating age, no-flow/initial rhythm (a composite variable), total cardiac arrest time, signs of life, pupil dilation, regional cerebral oxygen saturation, arterial pH, and end-tidal CO, demonstrated an AUC of 0.87 (95% confidence interval [CI] 0.77-0.93). In internal cross-validation, the AUC of 0.79 (95% CI 0.67-0.88) significantly outperformed the ELSO criteria AUC of 0.63 (95% CI 0.54-0.72, p = 0.012). Pre-ECPR score probabilities >6.4% showed 100% sensitivity and a PPV of 40.5% for favorable outcomes.
The Pre-ECPR score combines multiple weighted predictors to provide a single balanced probability of favorable outcomes in ECPR patient selection. In cross-validation, it demonstrated significantly more favorable discriminatory performance than that of the ELSO criteria.
体外心肺复苏(ECPR)可挽救难治性心脏骤停患者;然而,根据最近的荟萃分析,只有 20%的患者获得良好结局(改良 Rankin 量表 0-3 分)。我们旨在开发和验证 ECPR 预测模型以改善患者选择。
预后模型开发和内部验证研究。
单中心研究。
2010 年 1 月至 2021 年 10 月在萨尔格伦斯卡大学医院接受常规体温 ECPR 治疗的 120 名患者。
无。
采用多变量逻辑回归建立预后评估 ECPR(Pre-ECPR)评分。通过曲线下面积(AUC)评估模型性能,并与体外生命支持组织(ELSO)“ECPR 选择标准示例”比较,评估 1 年生存率和良好结局。计算阳性预测值(PPV)。患者的良好结局发生率为 27.5%。Pre-ECPR 评分纳入年龄、无血流/初始节律(复合变量)、总心脏骤停时间、生命迹象、瞳孔扩张、局部脑氧饱和度、动脉 pH 值和呼气末 CO2,AUC 为 0.87(95%置信区间 [CI] 0.77-0.93)。内部交叉验证中,AUC 为 0.79(95%CI 0.67-0.88)显著优于 ELSO 标准 AUC(0.63,95%CI 0.54-0.72,p=0.012)。Pre-ECPR 评分>6.4%时,良好结局的敏感性为 100%,阳性预测值为 40.5%。
Pre-ECPR 评分结合了多个加权预测因素,为 ECPR 患者选择中良好结局的单一平衡概率提供了参考。在交叉验证中,它表现出明显更优的鉴别性能。