Simulation-based assessment of AirgencyTM: a novel automatic resuscitator for emergency respiratory support

Abstract

Background & Objectives: This study evaluates the performance of Airgency^TM, an automated Ambu-bag resuscitator manufactured by Institut Teknologi Bandung and Padjadjaran University, Indonesia, against manual resuscitation using a simulation model to address these limitations

Methodology: The study compared breathing rate (BR), tidal volume (V_T), and peak inspiratory pressure (PIP) delivered by Airgency^TM and 50 medical professionals during a controlled 30-minute resuscitation session. Variability in performance was assessed using the coefficient of variation, while fatigue in medical professionals was measured using the Visual Analog Scale for Fatigue (VAS-F).

Results: Airgency^TM demonstrated significantly lower variability in all parameters compared to medical professionals (P < 0.0001). While medical professionals exhibited significant variability in BR (27.6%), VT (26.4%), and PIP (25.2%), Airgency^TM demonstrated minimal fluctuations, with coefficients of variation under 3% for all parameters.  Fatigue among medical professionals increased significantly over the resuscitation period, with median VAS-F scores rising from 1 to 5.

Conclusion: Airgency^TM consistently outperformed medical professionals in maintaining precise ventilation parameters with minimal variability. These results suggest that automated devices like Airgency^TM may enhance the reliability of resuscitation efforts, particularly in mitigating the impact of operator fatigue. However, further studies in real-world settings are necessary to confirm these findings.

Abbreviations: BR: breathing rate, PIP: peak inspiratory pressure, VAS-F: Visual Analog Scale for Fatigue,

Keywords: bag-valve manual resuscitation machine; breathing rate; tidal volume; peak inspiratory pressure; fatigue.

Citation: Sudjud RW, Aviani JK, Sitanggang RH, Redjeki IS, Pradian E, Suwarman, Kestriani ND. Simulation-based assessment of Airgency^TM: a novel automatic resuscitator for emergency respiratory support Anaesth. pain intensive care 2025;29(9):1196-1203. DOI: 10.35975/apic.v29i9.3060  

Received: August 17, 2025; Revised: September 05, 2025; Accepted: September 06, 2025