ArticleBiomedical engineering online2014
The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management.
Article in Biomedical engineering online, 2014. 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, 77 citations in OpenAlex.
- Computational tools for personalizing treatment of acute respiratory failure, from machine learning to digital twins: a narrative review.Critical care (London, England) · 2026Review
- A single compartment model to describe lung functionality: A comprehensive study.Physiological reports · 2026Review
- Automated evaluation of typical patient-ventilator asynchronies based on lung hysteretic responses.Biomedical engineering online · 2023Article
- Tele-monitoring system for intensive care ventilators in isolation rooms.Scientific reports · 2023Article
- CPAP pressure and flow data at 2 positive pressure levels and multiple controlled breathing rates from a trial of 30 adults.BMC research notes · 2022Article
- Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model.Biomedical engineering online · 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
- Model-based patient matching for in-parallel pressure-controlled ventilation.Biomedical engineering online · 2022Article
- Stochastic Modelling of Respiratory System Elastance for Mechanically Ventilated Respiratory Failure Patients.Annals of biomedical engineering · 2021Observational
- Model-based Patient Matching for in-parallel Multiplexing Mechanical Ventilation Support.IFAC-PapersOnLine · 2021Article
- Model-based PEEP titration versus standard practice in mechanical ventilation: a randomised controlled trial.Trials · 2020Article
- Authors' Response to Drs. Ece Salihoglu and Ziya Salihoglu's Letter to the Editor.Annals of biomedical engineering · 2020Article
- 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
- Development of a research-oriented system for collecting mechanical ventilator waveform data.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- 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
- Prediction of high airway pressure using a non-linear autoregressive model of pulmonary mechanics.Biomedical engineering online · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReal-time patient respiratory mechanics estimation can be used to guide mechanical ventilation settings, particularly, positive end-expiratory pressure (PEEP). This work presents a software, Clinical Utilisation of Respiratory Elastance (CURE Soft), using a time-varying respiratory elastance model to offer this ability to aid in mechanical ventilation treatment. IMPLEMENTATION: CURE Soft is a desktop application developed in JAVA. It has two modes of operation, 1) Online real-time monitoring decision support and, 2) Offline for user education purposes, auditing, or reviewing patient care. The CURE Soft has been tested in mechanically ventilated patients with respiratory failure. The clinical protocol, software testing and use of the data were approved by the New Zealand Southern Regional Ethics Committee. RESULTS AND DISCUSSION: Using CURE Soft, patient's respiratory mechanics response to treatment and clinical protocol were monitored. Results showed that the patient's respiratory elastance (Stiffness) changed with the use of muscle relaxants, and responded differently to ventilator settings. This information can be used to guide mechanical ventilation therapy and titrate optimal ventilator PEEP.
conclusionCURE Soft enables real-time calculation of model-based respiratory mechanics for mechanically ventilated patients. Results showed that the system is able to provide detailed, previously unavailable information on patient-specific respiratory mechanics and response to therapy in real-time. The additional insight available to clinicians provides the potential for improved decision-making, and thus improved patient care and outcomes.
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.