ArticleJournal of clinical monitoring and computing2021
A physiology-based mathematical model for the selection of appropriate ventilator controls for lung and diaphragm protection.
Article in Journal of clinical monitoring and computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness.Critical care (London, England) · 2023Pooled it
- Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation.Journal of intensive care · 2026Article
- The 30-min diaphragm movement change rate for predicting weaning success in severe pneumonia patients requiring invasive ventilation.Frontiers in medicine · 2025Article
- Lung- and diaphragm-protective strategies in acute respiratory failure: an in silico trial.Intensive care medicine experimental · 2024Article
- The physiological underpinnings of life-saving respiratory support.Intensive care medicine · 2022Review
- Simulation to minimise patient self-inflicted lung injury: are we almost there?British journal of anaesthesia · 2022Article
- Lung- and Diaphragm-Protective Ventilation.American journal of respiratory and critical care medicine · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanical ventilation is used to sustain respiratory function in patients with acute respiratory failure. To aid clinicians in consistently selecting lung- and diaphragm-protective ventilation settings, a physiology-based decision support system is needed. To form the foundation of such a system, a comprehensive physiological model which captures the dynamics of ventilation has been developed. The Lung and Diaphragm Protective Ventilation (LDPV) model centers around respiratory drive and incorporates respiratory system mechanics, ventilator mechanics, and blood acid-base balance. The model uses patient-specific parameters as inputs and outputs predictions of a patient's transpulmonary and esophageal driving pressures (outputs most clinically relevant to lung and diaphragm safety), as well as their blood pH, under various ventilator and sedation conditions. Model simulations and global optimization techniques were used to evaluate and characterize the model. The LDPV model is demonstrated to describe a CO
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Registered trials
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