- Journal
- FRENCH JOURNAL OF UROLOGY
- Année
- 2025
- Volume
- 35
- Numéro
- 2
- Article
- 102837
- Mois
- MAR
- DOI
- 10.1016/j.fjurol.2024.102837
Abstract
Introduction: In a difficult environment like surgery with continuous exposure to stress, surgeon's health and wellbeing is affected. The heart rate variability (HRV) is a valid stress indicator. This study aims to provide descriptive data regarding stress during urological intervention using HRV. Methods: This prospective, unicentric study, included urological interventions from June to December 2023. Surgeons were surveyed on general characteristic, and surgical skills level. Beat-by-beat heart rate (HR) recorded using POLAR A3001 chest belt. HRV were analyzed in time (mean HR and the root mean square of successive differences [RMSSD]) and frequency (Fast Fourier transformation spectrum high frequency [FFT spectrum HF]) domain. Their baseline collected outside the operating room, 3 events during intervention examined: incision, closure, and adverse events. Visual stress and difficulty scale during intervention were completed. The differences between baseline and events were calculated. Results: A total of 171 urological interventions were included. Senior surgeons performed 54 (31.58%) and juniors 117 (68.42%). During interventions, seniors had significantly higher median difference of HR (incision:-11.92 [12.74] bpm versus-2.27 [10.99] bpm for juniors, P < 0.0001; closure:-10.73 [13.71] bpm, versus-4.18 [12.30] bpm for juniors, P = 0.0005), lower HF (incision: 0.01 [0.07] hz, versus-0.006 [0.03] hz for juniors P <= 0.0001; closure: 0.02 [0.06] hz, versus 0.00 [0.02] hz for juniors, P <= 0.0001), and lower RMSSD (incision:-3.34 [13.09] ms for seniors versus-7.63 [10.57] ms for juniors, P = 0.0098). No significant difference in RMSSD during closure (P = 0.2049). Conclusion: Study demonstrated the possibility to assess HRV in standard medical practice, senior surgeons experienced more physiological changes during interventions. Level of evidence: 4. (c) 2024 Elsevier Masson SAS. All rights are reserved, including those for text and data mining, AI training, and similar technologies.