Evidence map›Paper›PMID 42045634›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2026

Cardiovascular risk in narcolepsy: Comparison of type 1 and type 2 in a real-world cohort.

Munaza Riaz, Christopher N Kaufmann, Rakesh Bhattacharjee, Debbie Wilson, Weihsuan Lo-Ciganic, Emerson M Wickwire, Atul Malhotra, Haesuk Park

Abstract readComparative Study
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2026. 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

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

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5 · Who and what money

Authors and funding

8 authors.

Munaza RiazDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Christopher N KaufmannDepartment of Health Outcomes and Informatics, College of Medicine, University of Florida, Gainesville, FL, USA.
Rakesh BhattacharjeeDivision of Respiratory Medicine, Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, CA, USA.
Debbie WilsonDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Weihsuan Lo-CiganicDivision of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Emerson M WickwireDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Atul MalhotraDivision of Pulmonary, Critical Care, Sleep Medicine and Physiology, Department of Medicine, University of California, San Diego School of Medicine, La Jolla, CA, USA.
Haesuk ParkDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA. hpark@cop.ufl.edu.ORCID 0000-0003-3299-8111

Funding

Is Obstructive Sleep Apnea Important in the Development of Alzheimer's DiseaseR01AG063925 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2020 to 2024
$3.7M
Underlying mechanisms of obesity-induced obstructive sleep apneaR01HL148436 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Atul Malhotra · 2020 to 2026
$3.4M
Sleep Apnea Endophenotypes: One Size Does Not Fit AllR01HL154926 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL · 2021 to 2025
$3.3M
The cardiovascular consequences of sleep apnea plus COPD (Overlap syndrome)R01HL166485 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Atul Malhotra · 2023 to 2026
$3.1M
VentNet: A Real-Time Multimodal Data Integration Model for Prediction of Respiratory Failure in Patients with COVID-19R01HL157985 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALHOTRA, ATUL, NEMATI, SHAMIM · 2022 to 2025
$2.9M
Developing a Diverse Next Generation of Leaders in Respiratory ScienceT32HL166127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Laura Elise Crotty Alexander, Atul Malhotra · 2023 to 2026
$1.6M
NHLBI NIH HHS R01 HL148436NHLBI NIH HHS R01 HL154926NHLBI NIH HHS R01 HL157985NHLBI NIH HHS R01 HL166485NHLBI NIH HHS T32 HL166127NIA NIH HHS R01 AG063925
6 · The paper itself

Abstract

purposeTo compare the differences in the risk of cardiovascular disease (CVD) events between narcolepsy type 1 (NT1) and type 2 (NT2) among patients with narcolepsy, while accounting for real-world use of stimulants.

methodsUsing the 2005-2023 MarketScan Commercial and Medicare Supplemental databases, we identified patients newly diagnosed with narcolepsy, either NT1 or NT2, using International Classification of Diseases, Ninth or Tenth Revision, Clinical Modification diagnosis codes. Stabilized inverse probability of treatment weighting (IPTW) was applied to balance baseline characteristics between the NT1 and NT2 groups. Primary outcomes included time to first (1) composite CVD event and (2) major adverse cardiovascular event (MACE). We used multivariable Cox proportional hazards regression models following IPTW to estimate adjusted hazard ratios (AHRs), accounting for time-fixed and time-varying covariates, including stimulant use. Individual cardiovascular outcomes were assessed separately, and analyses were stratified by age and sex.

resultsAfter IPTW, the overall effective sample size was 30,154 patients (NT1 = 3,068, NT2 = 27,086; mean [SD] age, 39.8 [16.5] years; 61.8% female). In models adjusting for baseline covariates and time-varying stimulant use, there was no difference in risk of CVD (AHR, 0.95; 95% CI, 0.75-1.22) or MACE (AHR, 0.98; 95% CI, 0.72-1.33) between NT1 and NT2. Results were consistent across individual CVD and MACE outcomes, as well as in subgroup analyses by age and sex.

conclusionFindings from this IPTW cohort study suggest that, after adjusting for medication use, there was no significant difference in cardiovascular risk between individuals with NT1 and NT2. Patients with narcolepsy are at elevated cardiovascular risk, but little is known about how this risk differs between narcolepsy type 1 (NT1) and type 2 (NT2). Previous studies have not directly compared cardiovascular risk by narcolepsy subtype while accounting for real-world use of medications, including stimulants, which may change over time and influence outcomes. In this large, national cohort of commercially insured individuals, we found no significant difference in cardiovascular disease risk for individuals with NT1 vs. NT2 after adjusting for baseline characteristics and the use of narcolepsy medications, including stimulants. These findings address the gap in the literature regarding cardiovascular risks across narcolepsy subtypes and may inform clinical management of the disorder.

Indexed as

Cardiovascular DiseasesNarcolepsyAdultCentral Nervous System StimulantsCohort StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedRisk FactorsUnited StatesCentral Nervous System StimulantsCardiovascular diseaseMajor adverse cardiovascular eventsNarcolepsy type 1Narcolepsy type 2Real-world evidence

Identifiers

PMID42045634
PMCPMC13121648

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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.