Evidence map›Paper›PMID 39821743›Full record

ArticleThe ultrasound journal2025

Comparison of two point-of-care lung ultrasound techniques and their associated outcomes for bronchiolitis in the pediatric emergency department.

Jaron A Smith, Michael C Cooper, Kenneth Yen, Joan Reisch, Bethsabee S Stone

Abstract read
In one paragraph

Article in The ultrasound journal, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jaron A SmithDepartment of Emergency Medicine, Phoenix Children's Hospital, 1919 E Thomas Rd, Phoenix, AZ, 85016, USA. dr.jaron.smith@gmail.com.ORCID http://orcid.org/0000-0003-1943-5584
Michael C CooperBaystate Medical Center, Department of Emergency Medicine, Division of Pediatric Emergency Medicine, Springfield, MA, USA.
Kenneth YenDepartment of Pediatrics, Division of Emergency Medicine, University of Texas Southwestern, Children's Medical Center, Dallas, TX, USA.
Joan ReischSchool of Public Health, Division of Statistics, University of Texas Southwestern, Dallas, TX, USA.
Bethsabee S StoneDepartment of Pediatrics, Division of Emergency Medicine, University of Texas Southwestern, Children's Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute bronchiolitis (AB) is the most common lower respiratory tract infection in infants. Clinician diagnosis and management vary due to limited objective assessment tools. Point-of-care lung ultrasound (LUS) offers a promising diagnostic and prognostic tool in the emergency department (ED), however, the time to perform LUS is of concern in the emergency setting.

methodsInfants ≤ 12 months diagnosed with AB in the emergency department were enrolled. Two LUS techniques were performed sequentially: a 12-segment "lawnmower" approach and a posterior paravertebral "waterfall" technique. LUS were scored (0-36 for lawnmower; 0-6 for waterfall). Respiratory support (RS) was categorized into three levels: no RS (room air), low RS (wall O2 or heated high flow nasal cannula < 1L/kg), and high RS (heated high flow nasal cannula ≥ 1L/kg or positive pressure). Clinical data, including RS at 12 and 24 h, maximum RS, disposition, and length of stay, were extracted via chart review and compared to mean LUS scores for each technique. Calculated areas under the curve (AUC) were compared using the Youden Index (J).

results82 infants were enrolled. The mean waterfall scanning time was 1.65 min (SD 0.55) compared to the lawnmower's 7.65 min (SD 1.45). The difference between mean LUS scores for the waterfall technique was statistically significant for all disposition comparisons and nearly all RS comparisons. While the lawnmower AUC was greater than the waterfall AUC for all RS and disposition comparisons, the Youden Index (J) was statistically significantly different for only two of the eight comparisons.

conclusionThe posterior-only LUS technique is faster than the lawnmower technique, provides comparable information for disposition, and has a stronger association with LOS, but is less associated with RS. The waterfall technique may be a suitable alternative to more time-intensive, thorough techniques.

Indexed as

BronchiolitisEmergency medicineLung ultrasoundPediatricsPoint-of-care ultrasound

Identifiers

PMID39821743
PMCPMC11748713

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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.