Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings. Part I. IWBBIO (Conference) (10th : 2023 : Gran Canaria, Canary Islands)最新文献

英文中文

Using Digital Biomarkers for Objective Assessment of Perfusionists' Workload and Acute Stress During Cardiac Surgery. 使用数字生物标志物客观评估心脏手术灌注师的工作量和急性应激。

Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023, Proceedings. Part I. IWBBIO (Conference) (10th : 2023 : Gran Canaria, Canary Islands)

Pub Date : 2023-07-01 DOI: 10.1007/978-3-031-34953-9_35

Roger D Dias, Lauren R Kennedy-Metz, Rithy Srey, Geoffrey Rance, Mahdi Ebnali, David Arney, Matthew Gombolay, Marco A Zenati

The cardiac operating room (OR) is a high-risk, high-stakes environment inserted into a complex socio-technical healthcare system. During cardiopulmonary bypass (CPB), the most critical phase of cardiac surgery, the perfusionist has a crucial role within the interprofessional OR team, being responsible for optimizing patient perfusion while coordinating other tasks with the surgeon, anesthesiologist, and nurses. The aim of this study was to investigate objective digital biomarkers of perfusionists' workload and stress derived from heart rate variability (HRV) metrics captured via a wearable physiological sensor in a real cardiac OR. We explored the relationships between several HRV parameters and validated self-report measures of surgical task workload (SURG-TLX) and acute stress (STAI-SF), as well as surgical processes and outcome measures. We found that the frequency-domain HRV parameter HF relative power - FFT (%) presented the strongest association with task workload (correlation coefficient: -0.491, p-value: 0.003). We also found that the time-domain HRV parameter RMSSD (ms) presented the strongest correlation with perfusionists' acute stress (correlation coefficient: -0.489, p-value: 0.005). A few workload and stress biomarkers were also associated with bypass time and patient length of stay in the hospital. The findings from this study will inform future research regarding which HRV-based biomarkers are best suited for the development of cognitive support systems capable of monitoring surgical workload and stress in real time.

心脏手术室(OR)是一个高风险，高风险的环境插入到一个复杂的社会技术医疗保健系统。在心脏外科手术的最关键阶段——体外循环(CPB)中，灌注师在跨专业手术室团队中扮演着至关重要的角色，负责优化患者灌注，同时与外科医生、麻醉师和护士协调其他任务。本研究的目的是通过可穿戴生理传感器在真实的心脏手术室中捕获心率变异性(HRV)指标，研究灌注师工作量和压力的客观数字生物标志物。我们探讨了几个HRV参数之间的关系，并验证了手术任务工作量(SURG-TLX)和急性应激(STAI-SF)的自我报告测量，以及手术过程和结果测量。我们发现频域HRV参数HF相对功率- FFT(%)与任务工作量的相关性最强(相关系数为-0.491,p值为0.003)。我们还发现时域HRV参数RMSSD (ms)与灌注者急性应激的相关性最强(相关系数为-0.489,p值为0.005)。一些工作量和压力生物标志物也与旁路时间和患者住院时间有关。这项研究的发现将为未来的研究提供信息，以hrv为基础的生物标志物最适合开发能够实时监测手术工作量和压力的认知支持系统。

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