Evidence map›Paper›PMID 31932982›Full record

ArticleAnnals of intensive care2020

Accuracy of ventilator-associated events for the diagnosis of ventilator-associated lower respiratory tract infections.

Olivier Pouly, Sylvain Lecailtel, Sophie Six, Sébastien Préau, Frédéric Wallet, Saad Nseir, Anahita Rouzé

Abstract read
In one paragraph

Article in Annals of intensive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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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

7 authors.

Olivier PoulyCritical Care Center, CHU Lille, 59000, Lille, France.
Sylvain LecailtelIntensive Care Unit, CH de Boulogne, Boulogne, France.
Sophie SixCritical Care Center, CHU Lille, 59000, Lille, France.
Sébastien PréauCritical Care Center, CHU Lille, 59000, Lille, France.
Frédéric WalletCentre de Biologie et de Pathologie, CHU Lille, 59000, Lille, France.
Saad NseirCritical Care Center, CHU Lille, 59000, Lille, France. s-nseir@chru-lille.fr.ORCID http://orcid.org/0000-0002-7618-0357
Anahita RouzéCritical Care Center, CHU Lille, 59000, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the concordance between ventilator-associated events (VAE) and ventilator-associated lower respiratory tract infections (VA-LRTI), and their impact on outcome.

methodsThis retrospective study was performed in five 10-bed ICUs of a teaching hospital, during a 2-year period. Ventilator-associated lower respiratory tract infections (VA-LRTI), including ventilator-associated tracheobronchitis (VAT) and ventilator-associated pneumonia (VAP) were prospectively diagnosed. The agreement between VAE, VAT and VAP was assessed by k statistics.

resultsA total of 1059 patients (15,029 ventilator-days) were included. 268 VAP (17.8 per 1000 ventilator-days), 127 VAT (8.5 per 1000 ventilator-days) and 262 VAE (17.4 per 1000 ventilator-days) were diagnosed. There was no agreement between VAT and VAE, and the agreement was poor between VAP and VAE (k = 0.12, 95% CI 0.03-0.20). VAE and VA-LRTI were associated with significantly longer duration of mechanical ventilation, ICU and hospital length of stay. VAP, VAT and VAE were not significantly associated with mortality in multivariate analysis.

conclusionsThe agreement was poor between VAE and VAP. No agreement was found between VAE and VAT. VAE episodes were significantly associated with longer duration of mechanical ventilation and length of stay, but not with ICU mortality.

Indexed as

Ventilator-associated eventsVentilator-associated pneumoniaVentilator-associated tracheobronchitis

Identifiers

PMID31932982
PMCPMC6957592

What OpenQuestion holds

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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.