Evidence map›Paper›PMID 42524301›Full record

ArticleInternational journal of medical sciences2026

Risk of Peripheral Artery Disease and Venous Thromboembolism in Patients with Neuromyelitis Optic Spectrum Disorder: A Nationwide Population-Based Cohort Study.

Xin-An Chen, Chun-Nan Wu, Tung-Han Tsai, Chien-Yu Lin, Hsuan Chang, Shuo-Yan Gau, Kuang-Hua Huang, Chien-Ying Lee

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Article in International journal of medical sciences, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xin-An ChenSchool of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Chun-Nan WuDepartment of Pharmacology, Chung Shan Medical University, Taichung 40201, Taiwan.
Tung-Han TsaiDepartment of Health Services Administration, China Medical University, Taichung 406040, Taiwan.
Chien-Yu LinSchool of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Hsuan ChangSchool of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Shuo-Yan GauDepartment of Medical Education, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City 600566, Taiwan.
Kuang-Hua HuangDepartment of Health Services Administration, China Medical University, Taichung 406040, Taiwan.
Chien-Ying LeeDepartment of Pharmacology, Chung Shan Medical University, Taichung 40201, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between Neuromyelitis optica spectrum disorder (NMOSD) and specific cardiovascular outcomes, particularly macrovascular events such as peripheral artery disease (PAD) and venous thromboembolism (VTE), has not been examined in a population-based study. The current study investigated the association between NMOSD and the risks of PAD and VTE. Materials and Methods: This retrospective cohort study used data from the Taiwan National Health Insurance Research Database. Patients with new-onset NMOSD between 2003 and 2020. Patients with previous PAD or VTE were excluded. Each patient was matched to five general patients for comparison using propensity score matching. In total, the study included 2,027 patients with NMOSD and 10,135 matched general population controls. A Cox proportional hazards model was used to investigate PAD and VTE risk, with relevant variables controlled for. NMOSD was stratified by severity to further verify the association between disease severity and macrovascular event risk. The control variables considered in this study were sex, age, insured salary, urbanization, Charlson comorbidity index (CCI), and related comorbidities. Results: The average follow-up of all participants was 7.01 person-years. After adjustments for relevant variables, patients with NMOSD had significantly higher risks of PAD (adjusted hazard ratio [aHR] = 1.40; 95% confidence interval [CI]: 1.02-1.92) and VTE (aHR = 4.81; 95% CI: 3.08-7.52). The risk of vascular events was strongly associated with disease severity. Severe NMOSD was associated with markedly increased risks of PAD (aHR = 2.26; 95% CI: 1.41-3.61) and VTE (aHR = 11.69; 95% CI: 6.86-19.90), whereas mild and moderate disease did not significantly increase PAD risk. Conclusion: NMOSD is a significant risk factor for PAD and VTE. These findings highlight the importance of proactive vascular risk assessment and preventive management in patients with NMOSD.

Indexed as

Neuromyelitis OpticaPeripheral Arterial DiseaseVenous ThromboembolismAdultAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsTaiwanneuromyelitis optic spectrum disorderperipheral artery diseasevenous thromboembolism

Identifiers

PMID42524301
PMCPMC13411019

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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.