The goal of this interventional study is to collect clinical and neurophysiological information to determine whether high-fidelity simulation can serve as a stress-inducing stimulus in a population of healthy residents (Emergency medicine, Anesthesia and Intensive care medicine, Paediatrics), both male and female, aged between 25 and 40 years. The main questions it aims to answer are: 1. Define in which phase of the simulation the highest level of stress is observed. 2. Determine the level of stress reached after performing a second high-fidelity simulation after a period of time. 3. Identify whether specific brain areas are activated during high-fidelity simulation. Participants will form teams, consisting of three medical trainees from the same specialty training program, that will undergo two high-fidelity simulations based on a clinical scenario relevant to their residency. * During the simulation, automatic pupillometry will be performed on all team members at the four time points. * Additionally, a two-lead ECG will be recorded for all team members at baseline and end of the debriefing * One team member will undergo EEG monitoring throughout the entire simulation. The EEG recordings will be sampled at baseline, during the simulation and end of the debriefing.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
45
two leads ECG
During the simulation, automatic pupillometry will be performed on all team members at the following time points: Baseline (T0) During the simulation (T1) End of the simulation (T2) End of the debriefing (T3)
EEG monitoring throughout the entire simulation. The EEG recordings will be sampled at: Baseline (T0) During the simulation (T1) End of the debriefing (T2)
Heart Rate Variability (HRV) Analysis in the time domain
To assess whether stress levels vary during simulation phases. All subjects will undergo electrocardiographic (ECG) recording at baseline and at the end of the debriefing using a portable Holter ECG device. The ECG traces will then be extracted, artifact-cleaned, and converted for Heart Rate Variability (HRV) analysis using dedicated software. HRV is a measure of the variation in R-R intervals between consecutive heartbeats and reflects the extrinsic regulation of heart rate mediated by the autonomic nervous system on the sinoatrial node.
Time frame: From the enrolment to two weeks after
Heart rate variability (HRV) analysis in the frequency domain
Low frequency (LF) reflects the simultaneous influence of both sympathetic and parasympathetic control on the sinoatrial node; and high frequency (HF) reflects parasympathetic nervous system modulation. The LF/HF ratio will be calculated as an indicator of the sympathovagal balance.
Time frame: from the enrolment to two weeks after
Changes in autonomic parameters in response to stress induced by high-fidelity simulation: automatic pupillometry.
The subjects undergo quantitative measurement of the pupillary light reflex at four time points: baseline, during simulation, at the end of the simulation, and at the end of the debriefing. The technique involves exposing both pupils of the subjects to an infrared light stimulus and assessing their reactivity parameters using an infrared sensor. The instrument used for data collection is the NPi-200 (NeurOptics, Irvine, CA, USA), a portable pupillometer that provides a light stimulus with fixed intensity (1000 lux) and duration (0.8s). We measure the Neurological Pupillary Index (NPI), a composite parameter, automatically derived, indicative of pupillary reactivity. An NPi ≥ 3 is considered normal.
Time frame: From the enrolment to two weeks after
Identify brain areas involved during simulation using EEG
Identify whether specific brain areas are activated during high-fidelity simulation. One member from each simulation team (identified as the team leader) will undergo continuous electroencephalographic (EEG) monitoring using a 19-electrode device in fixed positions according to the international 10-20 system during three phases of the advanced medical simulation: * Baseline stage during quiet wakefulness (eyes closed); * During the medical simulation; * During the debriefing. The EEG recordings will be transmitted to a computer and analyzed using the eLORETA software (exact Low Resolution Brain Electromagnetic Tomography), that allows connectivity analysis. The study of brain connectivity allows for the identification of statistically significant synchronization between signals recorded from two or more electrodes. Connectivity can be estimated as functional connectivity, which is bidirectional and does not determine a causal effect.
Time frame: From the enrolment to two weeks after
Variation of stress level over time using Perceived Stress Scale 10
Determine the level of stress reached after performing a second high-fidelity simulation after a period of time. Assessment of Stress Level and Emotional Component through the completion of the Perceived Stress Scale 10 (PSS-10) by the medical trainee. This scale consists of ten items, with each item rated on a scale from 0 (not stressful at all) to 4 (very stressful), focusing on thoughts and emotions experienced over the past 30 days. A score between 0 and 13 indicates good emotional management in both personal and professional life. A score between 14 and 26 suggests initial difficulties in managing emotions and stress. A score between 27 and 40 indicates an excessive stress load that negatively affects the individual's well-being.
Time frame: From the enrolment to two weeks after
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.