Evidence map›Paper›PMID 41385262›Full record

ArticleMedical care2026

Burn Pit Smoke Exposure and Sleep Apnea in US Veterans: A Retrospective Cohort Study.

Ritwick Agrawal, Javad Razjouyan, Danielle R Glick, Melissa B Jones, Amin Ramezani, Arash Maghsoudi, Drew A Helmer, Amir Sharafkhaneh

Abstract read
In one paragraph

Article in Medical care, 2026. 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

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.

  1. Article
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.

Ritwick AgrawalLung Institute, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Huntington, NY.ORCID 0000-0002-7001-581
Javad RazjouyanVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX.
Danielle R GlickBig Data Scientist Training Enhancement Program (BD-STEP), VA Office of Research and Development, Washington, DC.
Melissa B JonesMental Health and Research Care Lines, Michael E. DeBakey VA Medical Center, Houston, TX.
Amin RamezaniVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX.
Arash MaghsoudiVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX.
Drew A HelmerVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX.
Amir SharafkhanehMedical Care Line, Section of Pulmonary, Critical Care and Sleep Medicine, Michael E. DeBakey VA Medical Center, Houston, TX.

Funding

Using Large Electronic Health Records and Advanced Analytics to Develop Predictive Frailty Trajectories in Patients with Heart FailureK25HL152006 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI RAZJOUYAN, JAVAD · 2020 to 2024
$719k
Airborne Hazards and Burn Pit Exposures AHBPCE#FY2024-002CSRD VA I01 CX002841CSRD VA IK2 CX002363NHLBI NIH HHS K25 HL152006U.S. Department of Veterans Affairs Clinical Science Research and Development #IK2CX002363-01A1VHA-CSRD-GWI I01CX002841-01
6 · The paper itself

Abstract

introductionBurn pit smoke exposure (BPSE) during military deployment has been linked to long-term cardiorespiratory conditions, but its relationship with sleep apnea (SA) remains unclear. This study examines the association between BPSE and SA using Veterans Health Administration (VHA) electronic medical records (EMR) and the Airborne Hazards and Open Burn Pit Registry (AHOBPR).

methodsWe conducted a retrospective cohort study of veterans from AHOBPR with VHA sleep study data. BPSE was classified into quartiles based on the duration of exposure, and SA severity was measured using the Apnea-Hypopnea Index (AHI). Logistic regression models and Cox proportional hazards models were used to evaluate the association between BPSE and SA, adjusting for confounders such as age, body mass index, smoking status, post-traumatic stress disorder (PTSD), and comorbid disease burden.

resultsThe study included 17,064 veterans (mean age 40.2 y; 89.6% male; 58.3% with PTSD). Veterans in the highest BPSE quartile (≥245 d) had an unadjusted OR of 1.13 for SA, which became nonsignificant after adjustment (aOR: 1.10, P=0.058). The median time to SA diagnosis was 8.8 years in the highest BPSE group versus 11.1 years in the lowest. The adjusted Hazard Ratio for earlier SA diagnosis in the highest BPSE quartile was 1.16 (95% CI: 1.10, 1.22). DISCUSSION: Although BPSE was not associated with SA prevalence, it was linked to earlier diagnosis. BPSE-related airway inflammation or increased health care use among exposed veterans may explain this pattern. Findings support early surveillance and screening for SA in highly exposed veterans.

Indexed as

Sleep Apnea SyndromesSmoke Inhalation InjuryVeteransAdultFemaleHumansMaleMiddle AgedOpen Waste BurningRetrospective StudiesRisk FactorsStress Disorders, Post-TraumaticUnited StatesUnited States Department of Veterans AffairsAHIburn pitNLPsleep apneaveterans

Identifiers

PMID41385262
PMCPMC12704664

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.