Evidence map›Paper›PMID 33381233›Full record

ReviewAnnals of thoracic medicine

Ventilator dyssynchrony - Detection, pathophysiology, and clinical relevance: A Narrative review.

Peter D Sottile, David Albers, Bradford J Smith, Marc M Moss

3 registry-linked trialsOpen access · diamondAbstract readReview
In one paragraph

Review in Annals of thoracic medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 13% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT05125952 nacompletednot on this map

Assessing Ventilator Safety in Patients on Pressure-Support Ventilation

TypeinterventionalSponsorDuke UniversityRan2022 to 2023Enrolled16ConditionsAcute Respiratory Failure, Mechanical Ventilation Complication, Ventilator-Induced Lung InjuryArmsViasys Avea Ventilator, Philips Respironics NM3 device, Servo U ventilator, Vyaire SmartCath adult nasogastric tube with Esophageal balloon
NCT05144607 nacompletednot on this map

Impact of the Display of Inspiratory Muscle Pressure Curves Estimated by Artificial Intelligence on the Ability of Health Care Professionals to Correctly Identify Patient-ventilator Asynchronies - Pmus Study

TypeinterventionalSponsorHospital Sirio-LibanesRan2021 to 2021Enrolled105ConditionsMechanical Ventilation ComplicationArmsMuscle Pressure curve (Pmus)
NCT06290310 unknown statusnot on this map

Assessment of Patient-ventilator Asynchrony by Electric Impedance Tomography and Artificial Intelligence

TypeobservationalSponsorKiskunhalas Semmelweis Hospital the Teaching Hospital of the University of SzegedRan2024 to 2024Enrolled10ConditionsAcute Lung InjuryArmsEIT, patient-ventilator asynchrony assessment
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Dyspnea and Mechanical Ventilation: The Emperor Has No Clothes.American journal of respiratory and critical care medicine · 2022
    Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Peter D SottileDepartment of Medicine, Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
David AlbersDepartment of Pediatrics, Division of Clinical Informatics, University of Colorado, Aurora, Colorado, USA.
Bradford J SmithDepartment of Bioengineering, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado, USA.
Marc M MossDepartment of Medicine, Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.
University of Colorado Anschutz Medical Campus · USUniversity of Colorado Denver · US

Funding

The Detection, Quantification, and Management of Ventilator DyssynchronyK23HL145011 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SOTTILE, PETER D · 2019 to 2023
$846k
NHLBI NIH HHS K23 HL145011
6 · The paper itself

Abstract

Mortality associated with the acute respiratory distress syndrome remains unacceptably high due in part to ventilator-induced lung injury (VILI). Ventilator dyssynchrony is defined as the inappropriate timing and delivery of a mechanical breath in response to patient effort and may cause VILI. Such deleterious patient-ventilator interactions have recently been termed patient self-inflicted lung injury. This narrative review outlines the detection and frequency of several different types of ventilator dyssynchrony, delineates the different mechanisms by which ventilator dyssynchrony may propagate VILI, and reviews the potential clinical impact of ventilator dyssynchrony. Until recently, identifying ventilator dyssynchrony required the manual interpretation of ventilator pressure and flow waveforms. However, computerized interpretation of ventilator waive forms can detect ventilator dyssynchrony with an area under the receiver operating curve of >0.80. Using such algorithms, ventilator dyssynchrony occurs in 3%-34% of all breaths, depending on the patient population. Moreover, two types of ventilator dyssynchrony, double-triggered and flow-limited breaths, are associated with the more frequent delivery of large tidal volumes >10 mL/kg when compared with synchronous breaths (54% [95% confidence interval (CI), 47%-61%] and 11% [95% CI, 7%-15%]) compared with 0.9% (95% CI, 0.0%-1.9%), suggesting a role in propagating VILI. Finally, a recent study associated frequent dyssynchrony-defined as >10% of all breaths-with an increase in hospital mortality (67 vs. 23%,

Indexed as

Acute respiratory distress syndromepatient self-inflicted lung injuryventilator dyssynchronyventilator-induced lung injury

Identifiers

PMID33381233
PMCPMC7720746
OpenAlexW3092637029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.