The “respiratory envelope”, an aviation-inspired framework for patient tailored mechanical ventilation

Contemporary mechanical ventilation strategies in ARDS rely on lung-protective ventilation approaches that typically utilize separate static variables/settings (e.g., tidal volumes, plateau pressure) and cut-off values. This approach fails to capture complex patient dynamics. Increasing efforts have focused on the interactions between different parameters (e.g. mechanical power, driving pressure); however, these only accommodate a limited number of interactions and do not integrate the complexity of patient-specific, severity-dependent and time-varying thresholds for “safe” mechanical ventilation. In aviation, the “flight envelope” concept revolutionized flight safety by defining flexible, context-dependent boundaries as a function of multiple dimensions (e.g. flight speed, altitude, (dynamic) loads on the aircraft) within which an aircraft can operate. When a new aircraft is developed, its operational safety envelope is determined analytically. Calculations are quickly followed by flight simulations and flight testing, beginning from a known safe point within the envelope and gradually carefully exploring its boundaries to characterize its limits. Inspired by this aviation approach, we propose the “respiratory envelope” framework for mechanical ventilation: a conceptual framework that allows for the incorporation of multiple (time-dependent) dimensions and integrates interactions between ventilator variables/settings and patient characteristics. Just as flight envelopes informed the development of automated envelope protection algorithms and autopilot systems, a similar framework could be applied in clinical settings to simulate real-time “safety zones” based on continuously monitored, yet underutilized, physiological data, such as in digital twins.

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Publication Details

Journal
Critical Care
Published
2026-04-01
DOI
https://doi.org/10.1186/s13054-026-05990-2
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
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article

The “respiratory envelope”, an aviation-inspired framework for patient tailored mechanical ventilation

Annemijn H. Jonkman, Eline Oppersma, C Meuwese, Peter Somhorst et al.
Critical Care
Respiratory Support and Mechanisms
article

The “respiratory envelope”, an aviation-inspired framework for patient tailored mechanical ventilation

Annemijn H. Jonkman, Eline Oppersma, C Meuwese, Peter Somhorst, Joris A. Melkert, Leo Heunks
article en

Abstract

Contemporary mechanical ventilation strategies in ARDS rely on lung-protective ventilation approaches that typically utilize separate static variables/settings (e.g., tidal volumes, plateau pressure) and cut-off values. This approach fails to capture complex patient dynamics. Increasing efforts have focused on the interactions between different parameters (e.g. mechanical power, driving pressure); however, these only accommodate a limited number of interactions and do not integrate the complexity of patient-specific, severity-dependent and time-varying thresholds for “safe” mechanical ventilation. In aviation, the “flight envelope” concept revolutionized flight safety by defining flexible, context-dependent boundaries as a function of multiple dimensions (e.g. flight speed, altitude, (dynamic) loads on the aircraft) within which an aircraft can operate. When a new aircraft is developed, its operational safety envelope is determined analytically. Calculations are quickly followed by flight simulations and flight testing, beginning from a known safe point within the envelope and gradually carefully exploring its boundaries to characterize its limits. Inspired by this aviation approach, we propose the “respiratory envelope” framework for mechanical ventilation: a conceptual framework that allows for the incorporation of multiple (time-dependent) dimensions and integrates interactions between ventilator variables/settings and patient characteristics. Just as flight envelopes informed the development of automated envelope protection algorithms and autopilot systems, a similar framework could be applied in clinical settings to simulate real-time “safety zones” based on continuously monitored, yet underutilized, physiological data, such as in digital twins.

Critical Care
Radboud University Nijmegen (NL), Erasmus MC (NL), Radboud University Medical Center (NL), Erasmus MC Cancer Institute (NL), Erasmus University Rotterdam (NL), University of Twente (NL), Delft University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 7%
Respiratory Support and Mechanisms
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