Vanneman Matthew William, Thuraiappah Melan, Feinstein Igor, Fielding-Singh Vikram, Peterson Ashley, Kronenberg Scott, Angst Martin S, Aghaeepour Nima
Division of Cardiovascular & Thoracic Anesthesia, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, Calif.
Division of Cardiovascular & Thoracic Anesthesia, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, Calif.
J Thorac Cardiovasc Surg. 2024 Aug;168(2):559-568.e6. doi: 10.1016/j.jtcvs.2023.08.011. Epub 2023 Aug 12.
Decreasing variability in time-intensive tasks during cardiac surgery may reduce total procedural time, lower costs, reduce clinician burnout, and improve patient access. The relative contribution and variability of surgeon control time (SCT) and anesthesia control time (ACT) to total procedural time is unknown.
A total of 669 patients undergoing coronary artery bypass graft (CABG) surgery were enrolled. Using linear regression, we estimated adjusted SCTs and ACTs, controlling for patient and procedural covariates. The primary endpoint compared overall SCTs and ACTs. The secondary endpoint compared the variability in adjusted SCTs and ACTs. Sensitivity analyses quantified the relative importance of the specific surgeon and anesthesiologist in the adjusted linear models.
The median SCT was 4.1 hours (interquartile range [IQR], 3.4-4.9 hours) compared to a median ACT of 1.0 hours (IQR, 0.8-1.2 hours; P < .001). Using linear regression, the variability in adjusted SCT among surgeons (range, 1.8 hours) was 3.5-fold greater than the variability in adjusted ACT among anesthesiologists (range, 0.5 hour; P < .001). The specific surgeon and anesthesiologist accounted for 50% of the explanatory power of the predictive model (P < .001).
SCT variability is significantly greater than ACT variability and is strongly associated with the surgeon performing the procedure. Although these results suggest that SCT variability is an attractive operational target, further studies are needed to determine practitioner specific and modifiable attributes to reduce variability and improve efficiency.
减少心脏手术中耗时任务的变异性可能会缩短总手术时间、降低成本、减轻临床医生的职业倦怠并改善患者就医机会。外科医生控制时间(SCT)和麻醉控制时间(ACT)对总手术时间的相对贡献及变异性尚不清楚。
共纳入669例行冠状动脉旁路移植术(CABG)的患者。我们使用线性回归估计调整后的SCT和ACT,并对患者和手术协变量进行控制。主要终点比较总体SCT和ACT。次要终点比较调整后的SCT和ACT的变异性。敏感性分析量化了特定外科医生和麻醉医生在调整后的线性模型中的相对重要性。
SCT的中位数为4.1小时(四分位间距[IQR],3.4 - 4.9小时),而ACT的中位数为1.0小时(IQR,0.8 - 1.2小时;P <.001)。使用线性回归,外科医生调整后SCT的变异性(范围为1.8小时)比麻醉医生调整后ACT的变异性(范围为0.5小时)大3.5倍(P <.001)。特定的外科医生和麻醉医生占预测模型解释力的50%(P <.001)。
SCT的变异性显著大于ACT的变异性,并且与实施手术的外科医生密切相关。尽管这些结果表明SCT变异性是一个有吸引力的操作目标,但仍需要进一步研究以确定从业者的特定且可改变的属性,以减少变异性并提高效率。