ReviewActa bio-medica : Atenei Parmensis2018
Patient-ventilator asynchronies: types, outcomes and nursing detection skills.
Review in Acta bio-medica : Atenei Parmensis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Challenges and strategies for the identification and correction of patient-ventilator asynchronies in daily practice: a scoping review.Acute and critical care · 2026Article
- Ventilatory asynchronies induced by routine clinical practices in the intensive care unit: A systematic observation combined with a scoping review.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2026Article
- Empirical phenotyping of joint patient-care data supports hypothesis-driven investigation of mechanical ventilation consequences.Scientific reports · 2025Article
- Emergency and critical care medicine residents' competency to identify patient ventilator asynchrony using a mechanical ventilator waveform analysis in Addis Ababa, Ethiopia: a multicenter cross-sectional study.BMC medical education · 2025Article
- Induction of subject-ventilator asynchrony by variation of respiratory parameters in a lung injury model in pigs.Respiratory research · 2024Article
- Clinical and Experimental Evidence for Patient Self-Inflicted Lung Injury (P-SILI) and Bedside Monitoring.Journal of clinical medicine · 2024Review
- Article
- The Ability of Critical Care Physicians to Identify Patient-Ventilator Asynchrony Using Waveform Analysis: A National Survey.Respiratory care · 2024Article
- Specific Training Improves the Detection and Management of Patient-Ventilator Asynchrony.Respiratory care · 2024Article
- Automated evaluation of typical patient-ventilator asynchronies based on lung hysteretic responses.Biomedical engineering online · 2023Article
- Establishment and Application of a Patient-Ventilator Asynchrony Remote Network Platform for ICU Mechanical Ventilation: A Retrospective Study.Journal of clinical medicine · 2023Article
- The Impact of a Training Intervention on Detection of Patient-Ventilator Asynchronies in Nursing Students.Acta bio-medica : Atenei Parmensis · 2022Article
- Patient-Ventilator Synchronization During Non-invasive Ventilation: A Pilot Study of an Automated Analysis System.Frontiers in medical technology · 2021Article
- Ventilators and Ventilatory Modalities.Frontiers in pediatrics · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMechanical ventilation is often employed as partial ventilatory support where both the patient and the ventilator work together. The ventilator settings should be adjusted to maintain a harmonious patient-ventilator interaction. However, this balance is often altered by many factors able to generate a patient ventilator asynchrony (PVA). The aims of this review were: to identify PVAs, their typologies and classifications; to describe how and to what extent their occurrence can affect the patients' outcomes; to investigate the levels of nursing skill in detecting PVAs.
methodsLiterature review performed on Cochrane Library, Medline and CINAHL databases.
results1610 records were identified; 43 records were included after double blind screening. PVAs have been classified with respect to the phase of the respiratory cycle or based on the circumstance of occurrence. There is agreement on the existence of 7 types of PVAs: ineffective effort, double trigger, premature cycling, delayed cycling, reverse triggering, flow starvation and auto-cycling. PVAs can be identified through the ventilator graphics monitoring of pressure and flow waveforms. The influence on patient outcomes varies greatly among studies but PVAs are mostly associated with poorer outcomes. Adequately trained nurses can learn and retain how to correctly detect PVAs.
conclusionsSince its challenging interpretation and the potential advantages of its implementation, ventilator graphics monitoring can be classified as an advanced competence for ICU nurses. The knowledge and skills to adequately manage PVAs should be provided by specific post-graduate university courses.
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Registered trials
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