Borracci Raúl A, Rubio Miguel, Baldi Julio, Ingino Carlos A, Barisani José L
Departamento de Cirugía Cardíaca, Hospital de Clínicas, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina. E-mail:
Departamento de Cirugía Cardíaca, Hospital de Clínicas, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina.
Medicina (B Aires). 2017;77(4):297-303.
The objective of this study was to evaluate the efficacy of age, creatinine and ejection fraction (ACEF) score and the modified ACEFCG model, incorporating creatinine clearance, to predict immediate operative mortality risk of patients undergoing elective cardiac surgery. A retrospective analysis was performed of prospectively collected data between 2012 and 2015, from a series of 1190 adult patients who underwent elective cardiac surgery. Operative risk mortality was assessed with ACEF, ACEFCG and EuroSCORE II. Overall mortality rate was 4.0% (48 cases), while mean mortality rates predicted by ACEF, ACEFCG, and EuroSCORE II were 2.3% (p = 0.014), 6.4% (p = 0.010) and 2.5% (p = 0.038), respectively. Overall observed/predicted mortality ratio was 1.8 for ACEF score, 0.6 for ACEFCG score and 1.6 for EuroSCORE II. The ACEF score demonstrated an adequate overall performance for the low- and intermediate-risk groups, but underestimated mortality for the high risk group. The ACEFCG score discriminatory power systematically improved the area under the ROC curve (AUC) obtained with the ACEF score; however, EuroSCORE II showed the best AUC. Overall accuracy was 56.1% for the ACEF score, 51.2% for the ACEFCG score and 75.9% for EuroSCORE II. For clinical use, the ACEF score seems to be adequate to predict mortality in low- and intermediate-risk patients. Though the ACEFCG score had a better discriminatory power and calibration, it tended to overestimate the expected risk. Since ideally, a simpler risk stratification score should be desirable for bedside clinical use, the ACEF model reasonably met the expected performance in our population.
本研究的目的是评估年龄、肌酐和射血分数(ACEF)评分以及纳入肌酐清除率的改良ACEFCG模型预测择期心脏手术患者即刻手术死亡风险的效能。对2012年至2015年间前瞻性收集的1190例接受择期心脏手术的成年患者的数据进行回顾性分析。采用ACEF、ACEFCG和欧洲心脏手术风险评估系统II(EuroSCORE II)评估手术风险死亡率。总体死亡率为4.0%(48例),而ACEF、ACEFCG和EuroSCORE II预测的平均死亡率分别为2.3%(p = 0.014)、6.4%(p = 0.010)和2.5%(p = 0.038)。ACEF评分的总体观察/预测死亡率比值为1.8,ACEFCG评分为0.6,EuroSCORE II为1.6。ACEF评分在低风险和中风险组中总体表现良好,但低估了高风险组的死亡率。ACEFCG评分的鉴别能力系统地提高了ACEF评分获得的ROC曲线下面积(AUC);然而,EuroSCORE II显示出最佳的AUC。ACEF评分的总体准确率为56.1%,ACEFCG评分为51.2%,EuroSCORE II为75.9%。对于临床应用,ACEF评分似乎足以预测低风险和中风险患者的死亡率。尽管ACEFCG评分具有更好的鉴别能力和校准能力,但它往往高估了预期风险。由于理想情况下,床边临床应用应采用更简单的风险分层评分,ACEF模型在我们的研究人群中合理地达到了预期性能。