Chang Shantel, Smith Ian, Cole Christopher
Princess Alexandra Hospital, Brisbane, QLD, Australia.
School of Medicine and Dentistry, Griffith University, Gold Coast, QLD, Australia.
J Cardiothorac Surg. 2025 Jan 6;20(1):23. doi: 10.1186/s13019-024-03236-2.
Individual surgeons' learning curves are a crucial factor impacting patient outcomes. While many studies investigate procedure-specific learning curves, very few carried out a longitudinal analysis of individual cardiac surgeons over the course of their career. Given the evolving landscape of cardiac surgery with the introduction of transcatheter and robotic procedures, a contemporary evaluation of the cardiac surgical learning curve is justified and a method of personal performance monitoring is proposed in this study.
A retrospective study of 1578 consecutive patients of a cardiac surgeon over ten years was undertaken. Risk adjustment was based on Euroscore. Cumulative risk adjusted morbidity (CRAM) charts of operative mortality, return to theatre and length of stay were constructed. Secondary endpoints included postoperative stroke and deep sternal wound infection. Change-point detection was applied to investigate temporal trends and identify when a significant change in outcome occurred. Multivariate analysis was performed to assess the influence of patient and system factors on operative mortality.
Patient average risk profile was highest in the later years of practice. Cardiopulmonary bypass time remained stable from 86.5 to 92 min across the decade. The frequency of redo operations increased from 4.07% in the first two years of practice to 9.29% in the last two years. The proportion of aortic surgery increased from 6.98 to 10.58% of total cases. There was a significantly reduced operative mortality signalled at case 1220 with the change point identified around case 970.
This prompts training colleges to consider application of sequential performance monitoring in surgical training programs, to confirm the progress of trainees and identify early evolving patterns that suggest support is required or milestones are being achieved.
个体外科医生的学习曲线是影响患者治疗结果的关键因素。虽然许多研究调查了特定手术的学习曲线,但很少有研究对个体心脏外科医生在其职业生涯中的情况进行纵向分析。鉴于随着经导管和机器人手术的引入,心脏外科领域不断发展,对心脏外科学习曲线进行当代评估是合理的,本研究提出了一种个人绩效监测方法。
对一名心脏外科医生连续十年的1578例患者进行回顾性研究。风险调整基于欧洲心脏手术风险评估系统(Euroscore)。构建了手术死亡率、重返手术室率和住院时间的累积风险调整发病率(CRAM)图表。次要终点包括术后中风和深部胸骨伤口感染。应用变化点检测来研究时间趋势并确定结果何时发生显著变化。进行多变量分析以评估患者和系统因素对手术死亡率的影响。
患者平均风险状况在执业后期最高。在这十年间,体外循环时间从86.5分钟稳定在92分钟。再次手术的频率从执业前两年的4.07%增加到最后两年的9.29%。主动脉手术占总病例的比例从6.98%增加到10.58%。在第1220例病例时手术死亡率显著降低,变化点约在第970例病例左右。
这促使培训院校考虑在外科培训项目中应用连续绩效监测,以确认学员的进展情况,并识别早期出现的模式,表明需要支持或正在实现里程碑。