Evidence map›Paper›PMID 33957099›Full record

ArticleChest2021

CT Findings and Patterns of e-Cigarette or Vaping Product Use-Associated Lung Injury: A Multicenter Cohort of 160 Cases.

Seth J Kligerman, Fernando U Kay, Constantine A Raptis, Travis S Henry, Jacob W Sechrist, Christopher M Walker, Daniel Vargas, Peter D Filev, Michael S Chung, Subba R Digumarthy and 6 more

Abstract read
In one paragraph

Article in Chest, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. E-Cigarette or Vaping Product Use-Associated Lung Injury: A Comprehensive Review.International journal of environmental research and public health · 2025
    Review
  9. Review
  10. E-cigarette use-associated lung injury (EVALI).Pneumologie (Stuttgart, Germany) · 2024
    Article
  11. E-cigarette attitudes and behaviours amongst 15-30-year-olds in the UK.Journal of public health (Oxford, England) · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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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

16 authors.

Seth J KligermanDepartment of Radiology, University of California, San Diego, San Diego, CA. Electronic address: skligerman@health.ucsd.edu.
Fernando U KayDepartment of Radiology, University of Texas Southwestern Medical Center, TX.
Constantine A RaptisMallinckrodt Institute of Radiology/Washington University School of Medicine, St. Louis, MO.
Travis S HenryDepartment of Radiology, University of California, San Francisco, San Francisco, CA.
Jacob W SechristDepartment of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA.
Christopher M WalkerDepartment of Radiology, University of Kansas Medical Center, KS.
Daniel VargasDepartment of Radiology, University of Colorado, CO.
Peter D FilevDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
Michael S ChungDepartment of Radiology, Mount Sinai Hospital, New York, NY.
Subba R DigumarthyDepartment of Radiology, Massachusetts General Hospital, MA.
Alan M RoppDepartment of Radiology, University of Virginia, VA.
Tan-Lucien MohammedDepartment of Radiology, University of Florida, FL.
Kristen W PopeDepartment of Radiology, University of Kansas Medical Center, KS.
Kaitlin M MarquisMallinckrodt Institute of Radiology/Washington University School of Medicine, St. Louis, MO.
Jonathan H ChungDepartment of Radiology, University of Chicago, Chicago, IL.
Jeffrey P KanneDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, WI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgrounde-Cigarette or vaping-induced lung injury (EVALI) causes a spectrum of CT lung injury patterns. Relative frequencies and associations with vaping behavior are unknown. RESEARCH QUESTION: What are the frequencies of imaging findings and CT patterns in EVALI and what is the relationship to vaping behavior? STUDY DESIGN AND

methodsCT scans of 160 subjects with EVALI from 15 institutions were retrospectively reviewed. CT findings and patterns were defined and agreed on via consensus. The parenchymal organizing pneumonia (OP) pattern was defined as regional or diffuse ground-glass opacity (GGO) ± consolidation without centrilobular nodules (CNs). An airway-centered OP pattern was defined as diffuse CNs with little or no GGO, whereas a mixed OP pattern was a combination of the two. Other patterns included diffuse alveolar damage (DAD), acute eosinophilic-like pneumonia, and pulmonary hemorrhage. Cases were classified as atypical if they did not fit into a pattern. Imaging findings, pattern frequencies, and injury severity were correlated with substance vaped (marijuana derives [tetrahydrocannabinol] [THC] only, nicotine derivates only, and both), vaping frequency, regional geography, and state recreational THC legality. One-way analysis of variance, χ

resultsA total of 160 patients (79.4% men) with a mean age of 28.2 years (range, 15-68 years) with EVALI underwent CT scan. Seventy-seven (48.1%), 15 (9.4%), and 68 (42.5%) patients admitted to vaping THC, nicotine, or both, respectively. Common findings included diffuse or lower lobe GGO with subpleural (78.1%), lobular (59.4%), or peribronchovascular (PBV) sparing (40%). Septal thickening (50.6%), lymphadenopathy (63.1%), and CNs (36.3%) were common. PBV sparing was associated with younger age (P = .02). Of 160 subjects, 156 (97.5%) had one of six defined patterns. Parenchymal, airway-centered, and mixed OP patterns were seen in 89 (55.6%), 14 (8.8%), and 32 (20%) patients, respectively. Acute eosinophilic-like pneumonia (six of 160, 3.8%), DAD (nine of 160, 5.6%), pulmonary hemorrhage (six of 160, 3.8%), and atypical (four of 160, 2.5%) patterns were less common. Increased vaping frequency was associated with more severe injury (P = .008). Multivariable analysis showed a negative association between vaping for > 6 months and DAD pattern (P = .03). Two subjects (1.25%) with DAD pattern died. There was no relation between pattern and injury severity, geographic location, and state legality of recreational use of THC.

interpretationEVALI typically causes an OP pattern but exists on a spectrum of acute lung injury. Vaping habits do not correlate with CT patterns except for negative correlation between vaping > 6 months and DAD pattern. PBV sparing, not previously described in acute lung injury, is a common finding.

Indexed as

Acute Lung InjuryAdolescentAdultAgedDronabinolElectronic Nicotine Delivery SystemsFemaleHemorrhageHumansLung InjuryLymphadenopathyMaleMiddle AgedNicotineNicotinic AgonistsPsychotropic DrugsDronabinolNicotineNicotinic AgonistsPsychotropic DrugsCT scane-cigaretteEVALIlung injuryvaping

Identifiers

PMID33957099
PMCPMC8546241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.