Evidence map›Paper›PMID 32317598›Full record

ArticleCritical care medicine2020

Clinician Recognition of the Acute Respiratory Distress Syndrome: Risk Factors for Under-Recognition and Trends Over Time.

Matthew Schwede, Robert Y Lee, Hanjing Zhuo, Kirsten N Kangelaris, Alejandra Jauregui, Kathryn Vessel, Annika Belzer, Thomas Deiss, Michael A Matthay, Kathleen D Liu and 1 more

Open access · greenAbstract read
In one paragraph

Article in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 12% 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.

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

10 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Estimated PaoCritical care explorations · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Matthew SchwedeDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Robert Y LeeDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA.
Hanjing ZhuoCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA.
Kirsten N KangelarisDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Alejandra JaureguiCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA.
Kathryn VesselCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA.
Annika BelzerCardiovascular Research Institute, University of California, San Francisco, San Francisco, CA.
Thomas DeissDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA.
Michael A MatthayDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Kathleen D LiuDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Carolyn S CalfeeDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
University of California, San Francisco · USUniversity of Washington · US

Funding

Precision Medicine in the Acute Respiratory Distress SyndromeR35HL140026 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALFEE, CAROLYN · 2018 to 2024
$6.8M
University of Washington Implementation Science Training Program (UW-ISTP)K12K12HL137940 · NHLBI · UNIVERSITY OF WASHINGTON · PI AU, DAVID H, CURTIS, J RANDALL · 2017 to 2021
$2.9M
NHLBI NIH HHS K12 HL137940NHLBI NIH HHS R35 HL140026
6 · The paper itself

Abstract

objectivesThe acute respiratory distress syndrome is common in critically ill patients. Recognition is crucial because acute respiratory distress syndrome is associated with a high mortality rate, and low tidal volume ventilation improves mortality. However, acute respiratory distress syndrome often goes unrecognized. Risk factors for under-recognition and trends over time have not been fully described.

designRetrospective chart review of patients with acute respiratory distress syndrome from a prospective cohort study of critically ill patients. For each patient's ICU stay, we searched the chart for terms that indicated that acute respiratory distress syndrome was diagnosed, in the differential diagnosis, or treated with low tidal volume ventilation.

settingICUs at a tertiary hospital at the University of California, San Francisco between 2008 and 2016. PATIENTS: Critically ill patients with acute respiratory distress syndrome.

interventionsNone. MEASUREMENTS AND MAIN

resultsAcute respiratory distress syndrome was recognized in 70% of patients, and recognition increased from 60% in 2008-2009 to 92% in 2016 (p = 0.004). Use of tidal volumes less than 6.5 mL/kg also increased (p < 0.001) from 20% to 92%. Increased acute respiratory distress syndrome severity (p = 0.01) and vasopressor use (p = 0.04) were associated with greater recognition. Clinician diagnosis of acute respiratory distress syndrome and inclusion of acute respiratory distress syndrome in the differential diagnosis were associated with tidal volumes less than 6.5 mL/kg (51% use of tidal volume ≤ 6.5 mL/kg if acute respiratory distress syndrome recognized vs 15% if not recognized; p = 0.002). Diagnosing acute respiratory distress syndrome was associated with lower tidal volume in multivariate analysis.

conclusionsAlthough acute respiratory distress syndrome recognition and low tidal volume ventilation use have increased over time, they remain less than universal. Clinician recognition of acute respiratory distress syndrome is associated with both systemic and respiratory severity of illness and is also associated with use of low tidal volume ventilation.

Indexed as

Age FactorsDelayed DiagnosisDiagnosis, DifferentialHumansIntensive Care UnitsRacial GroupsRespiration, ArtificialRespiratory Distress SyndromeRetrospective StudiesRisk FactorsSan FranciscoSeverity of Illness IndexTertiary Care CentersTidal Volume

Identifiers

PMID32317598
PMCPMC7335674
OpenAlexW3016869725

What OpenQuestion holds

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Registered trials

None linked

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.