Evidence map›Paper›PMID 40865361›Full record

ArticleSleep medicine2025

Excessive daytime sleepiness and mortality: racial/ethnic variations in a large cohort of veterans.

Arash Maghsoudi, Mehrnaz Azarian, Javad Razjouyan, Max Hirshkowitz, Meir Kryger, Mohsen Dashti, Amin Ramezani, Amir Sharafkhaneh

Abstract read
In one paragraph

Article in Sleep medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Arash MaghsoudiCenter for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Mehrnaz AzarianCenter for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Javad RazjouyanCenter for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Big Data Scientist Training Enhancement Program (BD-STEP), VA Office of Research and Development, Washington, DC, USA(1). Electronic address: javad.razjouyan@bcm.edu.
Max HirshkowitzStanford University School of Medicine, USA.
Meir KrygerPulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA.
Mohsen DashtiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Amin RamezaniCenter for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Amir SharafkhanehDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA; Pulmonary, Critical Care and Sleep Medicine Section, Medical Care Line, Michael E. DeBakey VA Medical Center, Houston, TX, USA.

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
CSRD VA I01 CX002841NHLBI NIH HHS K25 HL152006
6 · The paper itself

Abstract

STUDY

objectivesDisparities in access to care and healthcare system inequities result in race-based health care outcome differences. Excessive daytime sleepiness (EDS), as a general marker of health, is associated with all-cause mortality. We aimed to determine if the association and its effect size differ among various race and ethnic groups in a health care system with no or minimal race-based access limitation.

methodsWe extracted Epworth Sleepiness Scale (ESS) of all Veterans with any sleep disorders for the years 1999-2022. ESS scores from 0 to 10 and 11-24 were categorized as normal and high, respectively. We further extracted the racial/ethnic groups as: White, Black, Hispanic, Native/Hawaiian, and Asian. We estimated unadjusted and adjusted odds ratios (OR and aOR) of all-cause mortality for those with high compared to normal ESS in various race/ethnicity groups. Adjusting factors included age, Body Mass Index (BMI), sex, and the Charlson Comorbidity Index (CCI).

results423,087 Veterans' records showed at least one ESS value. The sample was overwhelmingly male (95 %), with mean age of 54.8 (±14.6), and mean BMI of 32.6 (±6.2). The aOR for all-cause mortality was 14 % higher (1.12-1.16) in the high-ESS category in the total sample. This association remained similar for White and Black individuals (aOR: 1.17, 95 % CI: 1.15-1.20 for White; aOR: 1.08, 95 % CI: 1.03-1.13 for Black population). There were no differences between normal and high ESS for other racial/ethnic groups.

conclusionsIn this large real-life clinical cohort with a unique eligibility criterion, EDS link with increased all-cause mortality differed among various race/ethnic groups. In White and Blacks, EDS was associated with higher all-cause mortality. In contrast, EDS did not link with higher all-cause mortality in the other groups. Further research is needed to explore the biological reasons underpinning the study findings tying EDS to all-cause mortality.

Indexed as

Disorders of Excessive SomnolenceHispanic or LatinoMortalityRacial GroupsVeteransAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesEthnicityExcessive daytime sleepinessMortalityNatural language processingRace

Identifiers

PMID40865361
PMCPMC13435713

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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.