Evidence map›Paper›PMID 30020347›Full record

ReviewJornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia

Patient-ventilator asynchrony.

Marcelo Alcantara Holanda, Renata Dos Santos Vasconcelos, Juliana Carvalho Ferreira, Bruno Valle Pinheiro

Erratum issued Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05144607 (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), which is not on this map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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.

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)
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 173 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Asynchrony index modified: An improved tool for estimating the quality of patient-ventilator interaction.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2026
    Article
  9. Article
  10. Article
  11. 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 · 2026
    Article
  12. Review
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  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Marcelo Alcantara Holanda. Departamento de Medicina Clínica, Universidade Federal do Ceará, Fortaleza (CE) Brasil.ORCID http://orcid.org/0000-0002-6002-0084
Renata Dos Santos Vasconcelos. Programa de Pós-Graduação de Mestrado em Ciências Médicas, Universidade Federal do Ceará, Fortaleza (CE) Brasil.ORCID http://orcid.org/0000-0001-6845-7398
Juliana Carvalho Ferreira. Divisão de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0001-6548-1384
Bruno Valle Pinheiro. Faculdade de Medicina, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo (SP) Brasil.ORCID http://orcid.org/0000-0002-5288-3533
Universidade Federal do Ceará · BRUniversidade de São Paulo · BRUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-v entilator asynchrony (PVA) is a mismatch between the patient, regarding time, flow, volume, or pressure demands of the patient respiratory system, and the ventilator, which supplies such demands, during mechanical ventilation (MV). It is a common phenomenon, with incidence rates ranging from 10% to 85%. PVA might be due to factors related to the patient, to the ventilator, or both. The most common PVA types are those related to triggering, such as ineffective effort, auto-triggering, and double triggering; those related to premature or delayed cycling; and those related to insufficient or excessive flow. Each of these types can be detected by visual inspection of volume, flow, and pressure waveforms on the mechanical ventilator display. Specific ventilatory strategies can be used in combination with clinical management, such as controlling patient pain, anxiety, fever, etc. Deep sedation should be avoided whenever possible. PVA has been associated with unwanted outcomes, such as discomfort, dyspnea, worsening of pulmonary gas exchange, increased work of breathing, diaphragmatic injury, sleep impairment, and increased use of sedation or neuromuscular blockade, as well as increases in the duration of MV, weaning time, and mortality. Proportional assist ventilation and neurally adjusted ventilatory assist are modalities of partial ventilatory support that reduce PVA and have shown promise. This article reviews the literature on the types and causes of PVA, as well as the methods used in its evaluation, its potential implications in the recovery process of critically ill patients, and strategies for its resolution.

Indexed as

HumansInteractive Ventilatory SupportPositive-Pressure RespirationRespiration, ArtificialRespiratory InsufficiencyRespiratory Rate

Identifiers

PMID30020347
PMCPMC6326703
OpenAlexW2892574383

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.