ArticlePloS one2015
Time-varying respiratory system elastance: a physiological model for patients who are spontaneously breathing.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 80 citations in OpenAlex.
- A single compartment model to describe lung functionality: A comprehensive study.Physiological reports · 2026Review
- Monitoring of invasive assisted mechanical ventilation: a good clinical practice document by the Italian Society of Anesthesia, Analgesia, Resuscitation, and Intensive Care (SIAARTI).Journal of anesthesia, analgesia and critical care · 2025Review
- Respiratory pressure and split flow data collection device with rapid occlusion attachment.HardwareX · 2023Article
- Automated evaluation of typical patient-ventilator asynchronies based on lung hysteretic responses.Biomedical engineering online · 2023Article
- Airflow and dynamic circumference of abdomen and thorax for adults at varied continuous positive airway pressure ventilation settings and breath rates.Scientific data · 2023Article
- Hypothesis-driven modeling of the human lung-ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research.Journal of biomedical informatics · 2023Article
- An enhanced respiratory mechanics model based on double-exponential and fractional calculus.Frontiers in physiology · 2023Article
- Estimating the incidence of spontaneous breathing effort of mechanically ventilated patients using a non-linear auto regressive (NARX) model.Computer methods and programs in biomedicine · 2022Article
- Quantifying neonatal patient effort using non-invasive model-based methods.Medical & biological engineering & computing · 2022Article
- Stochastic integrated model-based protocol for volume-controlled ventilation setting.Biomedical engineering online · 2022Article
- Assessing the Asynchrony Event Based on the Ventilation Mode for Mechanically Ventilated Patients in ICU.Bioengineering (Basel, Switzerland) · 2021Article
- Stochastic Modelling of Respiratory System Elastance for Mechanically Ventilated Respiratory Failure Patients.Annals of biomedical engineering · 2021Observational
- Measuring lung mechanics of expiratory tidal breathing with non-invasive breath occlusion.Biomedical engineering online · 2020Article
- Model-based PEEP titration versus standard practice in mechanical ventilation: a randomised controlled trial.Trials · 2020Article
- Comparison of Inspiratory Effort, Workload and Cycling Synchronization Between Non-Invasive Proportional-Assist Ventilation and Pressure-Support Ventilation Using Different Models of Respiratory Mechanics.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Optimising mechanical ventilation through model-based methods and automation.Annual reviews in control · 2019Review
- Biomedical engineer's guide to the clinical aspects of intensive care mechanical ventilation.Biomedical engineering online · 2018Review
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRespiratory mechanics models can aid in optimising patient-specific mechanical ventilation (MV), but the applications are limited to fully sedated MV patients who have little or no spontaneously breathing efforts. This research presents a time-varying elastance (E(drs)) model that can be used in spontaneously breathing patients to determine their respiratory mechanics.
methodsA time-varying respiratory elastance model is developed with a negative elastic component (E(demand)), to describe the driving pressure generated during a patient initiated breathing cycle. Data from 22 patients who are partially mechanically ventilated using Pressure Support (PS) and Neurally Adjusted Ventilatory Assist (NAVA) are used to investigate the physiology relevance of the time-varying elastance model and its clinical potential. E(drs) of every breathing cycle for each patient at different ventilation modes are presented for comparison.
resultsAt the start of every breathing cycle initiated by patient, E(drs) is < 0. This negativity is attributed from the E(demand) due to a positive lung volume intake at through negative pressure in the lung compartment. The mapping of E(drs) trajectories was able to give unique information to patients' breathing variability under different ventilation modes. The area under the curve of E(drs) (AUCE(drs)) for most patients is > 25 cmH2Os/l and thus can be used as an acute respiratory distress syndrome (ARDS) severity indicator.
conclusionThe E(drs) model captures unique dynamic respiratory mechanics for spontaneously breathing patients with respiratory failure. The model is fully general and is applicable to both fully controlled and partially assisted MV modes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.