Evidence map›Paper›PMID 34468039›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2022

Point-of-Care Ultrasound Predicts Clinical Outcomes in Patients With COVID-19.

Andre Kumar, Isabel Weng, Sally Graglia, Thomas Lew, Kavita Gandhi, Farhan Lalani, David Chia, Youyou Duanmu, Trevor Jensen, Viveta Lobo and 5 more

Abstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. What Is COVID 19 Teaching Us about Pulmonary Ultrasound?Diagnostics (Basel, Switzerland) · 2022
    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

15 authors.

Andre KumarDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-4631-3307
Isabel WengQuantitative Sciences Unit, Stanford University, Stanford, CA, USA.
Sally GragliaDepartment of Emergency Medicine, University of California San Francisco and Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Thomas LewDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Kavita GandhiDepartment of Emergency Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID https://orcid.org/0000-0001-7349-3473
Farhan LalaniDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
David ChiaDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Youyou DuanmuDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Trevor JensenDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Viveta LoboDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jeffrey NahnDepartment of Emergency Medicine, University of California San Francisco and Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Nicholas IversonDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Molly RosenthalDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Alexandra June GordonDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
John KuglerDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPoint-of-care ultrasound (POCUS) detects the pulmonary manifestations of COVID-19 and may predict patient outcomes.

methodsWe conducted a prospective cohort study at four hospitals from March 2020 to January 2021 to evaluate lung POCUS and clinical outcomes of COVID-19. Inclusion criteria included adult patients hospitalized for COVID-19 who received lung POCUS with a 12-zone protocol. Each image was interpreted by two reviewers blinded to clinical outcomes. Our primary outcome was the need for intensive care unit (ICU) admission versus no ICU admission. Secondary outcomes included intubation and supplemental oxygen usage.

resultsN = 160 patients were included. Among critically ill patients, B-lines (94 vs 76%; P < .01) and consolidations (70 vs 46%; P < .01) were more common. For scans collected within 24 hours of admission (N = 101 patients), early B-lines (odds ratio [OR] 4.41 [95% confidence interval, CI: 1.71-14.30]; P < .01) or consolidations (OR 2.49 [95% CI: 1.35-4.86]; P < .01) were predictive of ICU admission. Early consolidations were associated with oxygen usage after discharge (OR 2.16 [95% CI: 1.01-4.70]; P = .047). Patients with a normal scan within 24 hours of admission were less likely to require ICU admission (OR 0.28 [95% CI: 0.09-0.75]; P < .01) or supplemental oxygen (OR 0.26 [95% CI: 0.11-0.61]; P < .01). Ultrasound findings did not dynamically change over a 28-day scanning window after symptom onset.

conclusionsLung POCUS findings detected within 24 hours of admission may provide expedient risk stratification for important COVID-19 clinical outcomes, including future ICU admission or need for supplemental oxygen. Conversely, a normal scan within 24 hours of admission appears protective. POCUS findings appeared stable over a 28-day scanning window, suggesting that these findings, regardless of their timing, may have clinical implications.

Indexed as

COVID-19AdultHumansIntensive Care UnitsOxygenPoint-of-Care SystemsProspective StudiesSARS-CoV-2OxygenCOVID-19ICUmortalityoutcomesPOCUSultrasound

Identifiers

PMID34468039
PMCPMC8661628

What OpenQuestion holds

Textmetadata
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.