Evidence map›Paper›PMID 37278778›Full record

Observational studyThe western journal of emergency medicine2023

Disparities Exist in the Application of Low Tidal-volume Ventilation in the Emergency Department.

Michael Self, Brent Kennis, Andrew Lafree, Christopher R Tainter, Jesus Lopez, Atul Malhotra, Theodore Chan, Gabriel Wardi

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in The western journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Management of Mechanical Ventilation in Emergency Medicine: A Scoping Review.Journal of the American College of Emergency Physicians open · 2026
    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

8 authors at 2 institutions in 1 country.

Michael SelfUniversity of California San Diego, Department of Emergency Medicine, San Diego, California.
Brent KennisUC San Diego, School of Medicine, San Diego, California.
Andrew LafreeUniversity of California San Diego, Department of Emergency Medicine, San Diego, California.
Christopher R TainterUC San Diego, Department of Anesthesiology, Division of Critical Care Anesthesiology, San Diego, California.
Jesus LopezUC San Diego, School of Medicine, San Diego, California.
Atul MalhotraUC San Diego, Department of Internal Medicine, Division of Pulmonary, Critical Care, Sleep Medicine & Physiology, San Diego, California.
Theodore ChanUniversity of California San Diego, Department of Emergency Medicine, San Diego, California.
Gabriel WardiUC San Diego, School of Medicine, San Diego, California.
UC San Diego Health System · USUniversity of California, San Diego · US

Funding

GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring SensorsR35GM143121 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NEMATI, SHAMIM · 2021 to 2025
$2.2M
Implementation of Continuum of Care Sepsis Phenotyping and Risk StratificationK23GM146092 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Gabriel Wardi · 2022 to 2026
$898k
NIGMS NIH HHS K23 GM146092NIGMS NIH HHS R35 GM143121
6 · The paper itself

Abstract

introductionLow tidal-volume ventilation (LTVV), defined as a maximum tidal volume of 8 milliliters per kilogram (mL/kg) of ideal body weight, is a key component of lung protective ventilation. Although emergency department (ED) initiation of LTVV has been associated with improved outcomes, disparities in LTVV application exist. In this study our aim was to evaluate whether rates of LTVV are associated with demographic and physical characteristics in the ED.

methodsWe conducted a retrospective observational cohort study using a dataset of patients who underwent mechanical ventilation at three EDs in two health systems from January 2016-June 2019. Demographic, mechanical ventilation, and outcome data including mortality and hospital-free days were abstracted by automatic query. A LTVV approach was defined as a tidal volume ≤8 mL/kg ideal body weight. We performed descriptive statistics and univariate analysis as indicated, and created a multivariate logistic regression model.

resultsOf 1,029 patients included in the study, 79.5% received LTVV. Tidal volumes of 400-500 mL were used in 81.9% of patients. Approximately 18% of patients had tidal volumes changed in the ED. Female gender (adjusted odds ratio [aOR] 4.17, P< 0.001), obesity (aOR 2.27, P< 0.001), and first-quartile height (aOR 12.2, P < 0.001) were associated with receiving non-LTVV in multivariate regression analysis. Hispanic ethnicity and female gender were associated with first quartile height (68.5%, 43.7%, P < 0.001 for all). Hispanic ethnicity was associated with receiving non-LTVV in univariate analysis (40.8% vs 23.0%, P < 0.001). This relationship did not persist in sensitivity analysis controlling for height, weight, gender, and body mass index. Patients who received LTVV in the ED had 2.1 more hospital-free days compared to those who did not (P = 0.040). No difference in mortality was observed.

conclusionEmergency physicians use a narrow range of initial tidal volumes that may not meet lung-protective ventilation goals, with few corrections. Female gender, obesity, and first-quartile height are independently associated with receiving non-LTVV in the ED. Using LTVV in the ED was associated with 2.1 fewer hospital-free days. If confirmed in future studies, these findings have important implications for achieving quality improvement and health equality.

Indexed as

Emergency Service, HospitalRespiration, ArtificialFemaleHumansLungObesityRetrospective StudiesTidal Volume

Identifiers

PMID37278778
PMCPMC10284531
OpenAlexW4368226851

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.