Institute of Gender in Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Biomed Res Int. 2013;2013:108475. doi: 10.1155/2013/108475. Epub 2013 Jul 8.
Incomplete revascularization negatively affects survival after coronary artery bypass surgery (CABG). Since gender and classification technique might impact outcome and reporting, we investigated their effect on revascularization patterns and mortality.
A cohort of bypass patients (N = 1545, 23% women) was enrolled prospectively. The degree of revascularization was determined as mathematical difference between affected vessels upon diagnosis and number of grafts or the surgeon's rating on the case file.
Although men displayed more triple-vessel disease, they obtained complete revascularization more frequently than women (85% versus 77%, P < 0.001). The two calculation methods identified analogous percentages of incompletely revascularized patients, yet there was only a 50% overlap between the two groups. Mathematically, more women, older patients, and patients with NYHA class III/IV appeared incompletely revascularized, while the surgeons identified more patients undergoing technically challenging procedures. Regardless of the definition, incompleteness was a significant risk factor for mortality in both genders (mathematical calculation: HR 2.62, 95% CI 1.76-3.89, P < 0.001; surgeon: HR 2.04, 95% CI 1.35-3.89, P = 0.001).
Given the differences in identification patterns, we advise that the mathematical calculation be performed after-procedure in all patients regardless of the surgeons' rating to uncover additional subjects at increased risk.
在冠状动脉旁路移植术(CABG)后,不完全血运重建会对患者的生存产生负面影响。由于性别和分类技术可能会影响结果和报告,我们研究了它们对血运重建模式和死亡率的影响。
前瞻性地纳入了一组旁路患者(N=1545 例,23%为女性)。血运重建程度通过诊断时受影响的血管数量与移植血管数量之间的数学差异或外科医生在病历上的评分来确定。
尽管男性表现出更多的三支血管病变,但他们比女性更常获得完全血运重建(85% vs. 77%,P<0.001)。两种计算方法确定了类似的不完全血运重建患者比例,但两组之间只有 50%的重叠。从数学角度来看,更多的女性、年龄较大的患者和 NYHA 心功能分级 III/IV 的患者似乎存在不完全血运重建,而外科医生则识别出更多接受技术挑战性手术的患者。无论采用哪种定义,不完全血运重建都是两种性别患者死亡的显著危险因素(数学计算:HR 2.62,95%CI 1.76-3.89,P<0.001;外科医生评估:HR 2.04,95%CI 1.35-3.89,P=0.001)。
鉴于识别模式的差异,我们建议在所有患者中,无论外科医生的评分如何,都应在术后进行数学计算,以发现更多处于高风险的患者。