Hsin Chun-Hsien, Wu Meng-Yu, Huang Chung-Chi, Kao Kuo-Chin, Lin Pyng-Jing
Department of Cardiovascular Surgery Department of Thoracic Medicine, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan, R.O.C.
Medicine (Baltimore). 2016 Jun;95(25):e3989. doi: 10.1097/MD.0000000000003989.
Despite a potentially effective therapy for adult respiratory failure, a general agreement on venovenous extracorporeal membrane oxygenation (VV-ECMO) has not been reached among institutions due to its invasiveness and high resource usage. To establish consensus on the timing of intervention, large ECMO organizations have published the respiratory extracorporeal membrane oxygenation survival prediction (RESP) score and the ECMOnet score, which allow users to predict hospital mortality for candidates with their pre-ECMO presentations. This study was aimed to test the predictive powers of these published scores in a medium-sized cohort enrolling adults treated with VV-ECMO for acute respiratory failure, and develop an institutional prediction model under the framework of the 3 scores if a superior predictive power could be achieved. This retrospective study included 107 adults who received VV-ECMO for severe acute respiratory failure (a PaO2/FiO2 ratio <70 mm Hg) in a tertiary referral center from 2007 to 2015. Essential demographic and clinical data were collected to calculate the RESP score, the ECMOnet score, and the sequential organ failure assessment (SOFA) score before VV-ECMO. The predictive power of hospital mortality of each score was presented as the area under receiver-operating characteristic curve (AUROC). The multivariate logistic regression was used to develop an institutional prediction model. The surviving to discharge rate was 55% (n = 59). All of the 3 published scores had a real but poor predictive power of hospital mortality in this study. The AUROCs of RESP score, ECMOnet score, and SOFA score were 0.662 (P = 0.004), 0.616 (P = 0.04), and 0.667 (P = 0.003), respectively. An institutional prediction model was established from these score parameters and presented as follows: hospital mortality (Y) = -3.173 + 0.208 × (pre-ECMO SOFA score) + 0.148 × (pre-ECMO mechanical ventilation day) + 1.021 × (immunocompromised status). Compared with the 3 scores, the institutional model had a significantly higher AUROC (0.779; P < 0.001). The 3 published scores provide valuable information about the poor prognostic factors for adult respiratory ECMO. Among the score parameters, duration of mechanical ventilation, immunocompromised status, and severity of organ dysfunction may be the most important prognostic factors of VV-ECMO used for adult respiratory failure.
尽管有针对成人呼吸衰竭的潜在有效疗法,但由于其侵入性和高资源消耗,各机构对于静脉-静脉体外膜肺氧合(VV-ECMO)尚未达成普遍共识。为了就干预时机达成共识,大型ECMO组织发布了呼吸体外膜肺氧合生存预测(RESP)评分和ECMOnet评分,这使得使用者能够根据ECMO治疗前的表现预测候选患者的医院死亡率。本研究旨在测试这些已发布评分在一个纳入接受VV-ECMO治疗急性呼吸衰竭成人的中型队列中的预测能力,并在这3个评分的框架下开发一个机构预测模型,如果能实现更高的预测能力的话。这项回顾性研究纳入了2007年至2015年在一家三级转诊中心因严重急性呼吸衰竭(动脉血氧分压/吸入氧分数比<70 mmHg)接受VV-ECMO治疗的107名成人。收集了基本的人口统计学和临床数据,以计算VV-ECMO治疗前的RESP评分、ECMOnet评分和序贯器官衰竭评估(SOFA)评分。每个评分对医院死亡率的预测能力以受试者操作特征曲线下面积(AUROC)表示。采用多因素逻辑回归来开发一个机构预测模型。出院生存率为55%(n = 59)。在本研究中,所有这3个已发布的评分对医院死亡率都有实际但较差的预测能力。RESP评分、ECMOnet评分和SOFA评分的AUROC分别为0.662(P = 0.004)、0.616(P = 0.04)和0.667(P = 0.003)。根据这些评分参数建立了一个机构预测模型,如下所示:医院死亡率(Y)=−3.173 + 0.208×(ECMO治疗前SOFA评分)+ 0.148×(ECMO治疗前机械通气天数)+ 1.021×(免疫功能低下状态)。与这3个评分相比,该机构模型的AUROC显著更高(0.779;P < 0.001)。这3个已发布的评分提供了关于成人呼吸ECMO不良预后因素的有价值信息。在评分参数中,机械通气时间、免疫功能低下状态和器官功能障碍的严重程度可能是用于成人呼吸衰竭的VV-ECMO最重要的预后因素。