Tamayo Eduardo, Fierro Inma, Bustamante-Munguira Juan, Heredia-Rodríguez María, Jorge-Monjas Pablo, Maroto Laura, Gómez-Sánchez Esther, Bermejo-Martín Francisco, Alvarez Francisco, Gómez-Herreras José
Crit Care. 2013 Sep 24;17(5):R209. doi: 10.1186/cc13017.
The risk of mortality in cardiac surgery is generally evaluated using preoperative risk-scale models. However, intraoperative factors may change the risk factors of patients, and the organism functionality parameters determined upon ICU admittance could therefore be more relevant in deciding operative mortality. The goals of this study were to find associations between the general parameters of organism functionality upon ICU admission and the operative mortality following cardiac operations, to develop a Post Cardiac Surgery (POCAS) Scale to define operative risk categories and to validate an operative mortality risk score.
We conducted a prospective study, including 920 patients who had undergone cardiac surgery with cardiopulmonary bypass. Several parameters recorded on their ICU admission were explored, looking for a univariate and multivariate association with in-hospital mortality (90 days). In-hospital mortality was 9%. Four independent factors were included in the POCAS mortality risk model: mean arterial pressure, bicarbonate, lactate and the International Normalized Ratio (INR). The POCAS scale was compared with four other risk scores in the validation series.
In-hospital mortality (90 days) was 9%. Four independent factors were included in the POCAS mortality risk model: mean arterial pressure, bicarbonate ratio, lactate ratio and the INR. The POCAS scale was compared with four other risk scores in the validation series. Discriminatory power (accuracy) was defined with a receiver-operating characteristics (ROC) analysis. The best accuracy in predicting in-hospital mortality (90 days) was achieved by POCAS. The areas under the ROC curves of the different systems analyzed were 0.890 (POCAS), followed by 0.847 (Simplified Acute Physiology Score (SAP II)), 0.825 (Sepsis-related Organ Failure Assessment (SOFA)), 0.768 (Acute Physiology and Chronic Health Evaluation (APACHE II)), 0.754 (logistic EuroSCORE), 0.714 (standard EuroSCORE) and 0.699 (Age, Creatinine, Ejection Fraction (ACEF) score).
Our new system to predict the operative mortality risk of patients undergoing cardiac surgery is better than others used for this purpose (SAP II, SOFA, APACHE II, logistic EuroSCORE, standard EuroSCORE, and ACEF score). Moreover, it is an easy-to-use tool since it only requires four risk factors for its calculation.
心脏手术的死亡率风险通常使用术前风险评估模型来评估。然而,术中因素可能会改变患者的风险因素,因此在重症监护病房(ICU)入院时确定的机体功能参数可能在决定手术死亡率方面更具相关性。本研究的目的是找出ICU入院时机体功能的一般参数与心脏手术后手术死亡率之间的关联,制定心脏手术后(POCAS)量表以定义手术风险类别,并验证手术死亡率风险评分。
我们进行了一项前瞻性研究,纳入920例行体外循环心脏手术的患者。对他们入住ICU时记录的几个参数进行了研究,寻找与院内死亡率(90天)的单变量和多变量关联。院内死亡率为9%。POCAS死亡率风险模型纳入了四个独立因素:平均动脉压、碳酸氢盐、乳酸和国际标准化比值(INR)。在验证系列中,将POCAS量表与其他四个风险评分进行了比较。
院内死亡率(90天)为9%。POCAS死亡率风险模型纳入了四个独立因素:平均动脉压、碳酸氢盐比值、乳酸比值和INR。在验证系列中,将POCAS量表与其他四个风险评分进行了比较。通过受试者操作特征(ROC)分析定义了鉴别力(准确性)。POCAS在预测院内死亡率(90天)方面准确性最高。所分析的不同系统的ROC曲线下面积分别为:0.890(POCAS),其次是0.847(简化急性生理学评分(SAP II))、0.825(脓毒症相关器官功能衰竭评估(SOFA))、0.768(急性生理学与慢性健康状况评估(APACHE II))、0.754(逻辑欧洲心脏手术风险评估系统(logistic EuroSCORE))、0.714(标准欧洲心脏手术风险评估系统(standard EuroSCORE))和0.699(年龄、肌酐、射血分数(ACEF)评分)。
我们用于预测心脏手术患者手术死亡率风险的新系统比用于此目的的其他系统(SAP II、SOFA、APACHE II、logistic EuroSCORE、standard EuroSCORE和ACEF评分)更好。此外,它是一个易于使用的工具,因为其计算仅需要四个风险因素。