Evidence map›Paper›PMID 41146923›Full record

ArticleEClinicalMedicine2025

Prevalence, determinants, and prognostic impact of polyvascular disease in patients hospitalised for atherosclerosis in Slovenia: a nationwide, retrospective cohort study.

Kevin Pelicon, Tjaša Furlan, Vinko Boc, Dalibor Gavrić, Borut Jug, Petra Došenović Bonča

Abstract read
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Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kevin PeliconDepartment of Vascular Diseases, University Medical Centre Ljubljana, Slovenia.
Tjaša FurlanGeneral Hospital Trbovlje, Slovenia.
Vinko BocDepartment of Vascular Diseases, University Medical Centre Ljubljana, Slovenia.
Dalibor GavrićDepartment of Development and Analysis, The Health Insurance Institute of Slovenia, Slovenia.
Borut JugDepartment of Vascular Diseases, University Medical Centre Ljubljana, Slovenia.
Petra Došenović BončaSchool of Economics and Business, University of Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polyvascular disease (PVD) is an increasingly recognised form of atherosclerotic cardiovascular disease (ASCVD) with heightened prognostic implications. This study aimed to comprehensively assess the prevalence, risk factors, and prognosis of PVD in Slovenia. Methods: We conducted an observational retrospective cohort study using national-level reimbursement data from The Health Insurance Institute of Slovenia between January 1, 2015, and December 31, 2023. The study considered all adults who were hospitalised for coronary, cerebrovascular, or lower extremity peripheral arterial disease with diagnoses defined using ICD-10 codes. Multivariate logistic regression was used to identify cardiovascular risk factors for PVD. Patients were grouped by the number of affected vascular beds. The primary outcomes were all-cause death, major adverse cardiovascular events (MACE), major adverse limb events (MALE), and major bleeding. In outcome analysis, a landmark of 90 days was considered. Cause-specific survival analysis was performed, and associations with the primary outcomes was assessed using univariate and multivariate Cox proportional hazards models, adjusting for demographics, cardiovascular risk factors, comorbidities, and prescribed medication. Findings: The study included 91,917 adults hospitalised for ASCVD. Of these, 85,703 (93.2%) had atherosclerosis in one vascular bed, 5878 (6.4%) in two, and 336 (0.4%) in three; the latter two groups (6214; 6.8%) were classified as having PVD. Traditional cardiovascular risk factors were strongly associated with PVD, with chronic kidney disease (odds ratio [OR] 1.96; 95% CI 1.81-2.11; p < 0.0001), diabetes (OR 1.57; 95% CI 1.48-1.66; p < 0.0001), and chronic obstructive pulmonary disease - a surrogate indicator of tobacco use (OR 1.56; 95% CI 1.40-1.74; p < 0.0001) emerging as the strongest predictors. Compared to patients with ASCVD in one vascular bed, patients with two affected beds had adjusted hazard ratios (HRs) of 1.24 (95% CI 1.09-1.42) for all-cause death, 1.51 (95% CI 1.24-1.83) for MACE, 2.52 (95% CI 2.08-3.05) for MALE, and 1.27 (95% CI 1.05-1.54) for major bleeding. Patients with three affected beds had adjusted HRs of 1.69 (95% CI 1.40-2.03), 2.70 (95% CI 2.23-3.28), 4.24 (95% CI 3.49-5.14), and 2.31 (95% CI 1.45-3.68), respectively. Interpretation: Patients with PVD face a high overall disease burden, with adverse event rates increasing in proportion to the number of affected vascular beds. Accurate assessment of individual risk profiles is essential, as patients with the highest baseline risk are most likely to benefit from intensified preventive strategies. Potential underreporting inherent in administrative claims data, along with our selective criteria for defining leading diagnoses, may have somewhat limited the number of identified patients with PVD. Nonetheless, even after adjusting for group size, comorbidities, and prescribed medication, PVD independently predicted not only all-cause death and ischaemic events but also major bleeding. Further research is needed to define optimal treatment strategies in this high-risk population. Funding: The Slovenian Research and Innovation Agency (ARIS).

Indexed as

AtherosclerosisPeripheral arterial diseasePolyvascular diseaseRisk factorsSurvival analysis

Identifiers

PMID41146923
PMCPMC12554134

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LicenceCC BY-NC-ND
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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.