Evidence map›Paper›PMID 41691476›Full record

ArticleAnnals of the American Thoracic Society2026

Heterogeneity of vascular inflammation in obstructive sleep apnea: effects of continuous positive airway pressure therapy.

Vaishnavi Kundel, Aaron Gans, Jo Hsuan Lee, Oren Cohen, Samira Khan, Vi Le, Heli Patel, Cameron S McAlpine, Zahi A Fayad, Philip M Robson and 3 more

Abstract read
In one paragraph

Article in Annals of the American Thoracic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Vaishnavi KundelDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Mount Sinai Hospital, New York, NY, United States.ORCID 0000-0002-2923-9539
Aaron GansDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Mount Sinai Hospital, New York, NY, United States.
Jo Hsuan LeeCenter for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Oren CohenDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Mount Sinai Hospital, New York, NY, United States.
Samira KhanDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Mount Sinai Hospital, New York, NY, United States.
Vi LeDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Mount Sinai Hospital, New York, NY, United States.
Heli PatelBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Cameron S McAlpineCardiovascular Research Institute and Department of Medicine, Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.ORCID 0000-0002-9832-6345
Zahi A FayadBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.ORCID 0000-0002-3439-7347
Philip M RobsonBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Venkatesh ManiBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Mayte Suárez-FariñasCenter for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Neomi A ShahDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Mount Sinai Hospital, New York, NY, United States.

Funding

Imaging the Atherosclerosis Cascade in Sleep ApneaR01HL143221 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHAH, NEOMI A · 2018 to 2022
$4.2M
Application of Machine Learning to Identify Obstructive Sleep Apnea Subgroups at Risk for Atherosclerosis Progression and Cardiovascular Disease Events (OSA-GRANDE)R01HL168897 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Girish Nitin Nadkarni, Mayte Suarez-Farinas · 2024 to 2026
$2.3M
Multidisciplinary Research Training in Sleep ScienceT32HL160511 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI INDU A AYAPPA, ANDREW W VARGA · 2023 to 2026
$1.5M
Use of Novel Multi-modality Imaging to Evaluate the Relationship Between Sleep Duration, Vascular Inflammation, and Visceral AdiposityK23HL161324 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Vaishnavi Kundel · 2022 to 2026
$956k
American Academy of Sleep Medicine Foundation 274-BS-22NHLBI NIH HHS K23 HL161324NHLBI NIH HHS R01 HL143221NHLBI NIH HHS R01 HL168897NHLBI NIH HHS T32 HL160511NIH HHS
6 · The paper itself

Abstract

rationaleThere is a critical gap in our understanding of how treatment with continuous positive airway pressure (CPAP) modulates vascular inflammation in patients with obstructive sleep apnea (OSA). We have shown that the effects of CPAP treatment on cardiovascular outcomes in OSA vary between individuals (heterogeneity of treatment effects [HTE]). In this study, we evaluate HTE on vascular inflammation in OSA patients undergoing CPAP therapy.

methodsWe recruited adults with moderate-to-severe OSA (respiratory disturbance index, RDI ≥15) who underwent 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging at baseline and after 3 months of CPAP. We measured vascular inflammation in the carotid arteries and aorta, using standardized uptake values (SUVs). Carotid SUVmax was the primary outcome. We used multivariable linear regression and linear mixed-effects models to evaluate associations between OSA metrics and vascular inflammation at baseline and after CPAP. We explored HTE using K-means clustering to identify distinct clusters based on changes in carotid vascular inflammation after CPAP treatment.

resultsOne hundred eighty patients completed baseline imaging, and 135 returned for follow-up. OSA severity and hypoxic burden were significantly associated with vascular inflammation, though this association was attenuated after adjusting for cardiovascular risk factors. There were no significant changes in vascular inflammation after CPAP. However, significant HTE was observed, with 3 distinct clusters of patients: those showing a decrease in carotid vascular inflammation (-16.6% [95% CI, -19.8% to -13.3%]), an increase (+24.2% [95% CI, 19.3%-29.2%]), or no significant change (-1.18% [95% CI, -3.7% to 1.4%]) in inflammation post-CPAP. Patients with no change or an increase in vascular inflammation post-CPAP were more likely to have a history of smoking (P = .009) and a higher baseline delta heart rate (P = .012) compared to those with a decrease in vascular inflammation post-CPAP.

conclusionsAlthough CPAP therapy did not uniformly reduce vascular inflammation in OSA patients, there was substantial heterogeneity in treatment responses across participant clusters. Differences in baseline lifestyle and polysomnographic features between these clusters may provide insight into factors driving variability in subclinical cardiovascular disease and treatment outcomes in OSA.

Indexed as

Continuous Positive Airway PressureSleep Apnea, ObstructiveTreatment Effect HeterogeneityVasculitisAdultAgedAortaCarotid ArteriesFemaleFluorodeoxyglucose F18HumansInflammationMagnetic Resonance ImagingMaleMiddle AgedPolysomnographyFluorodeoxyglucose F18CPAPheterogeneityOSAPET/MRIvascular inflammation

Identifiers

PMID41691476
PMCPMC13088370

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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 OpenQuestion graph.