Evidence map›Paper›PMID 42370995›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2026

Uric acid and subclinical atherosclerosis: distinct associations across coronary and carotid arteries.

Mathias Ausserwinkler, Christian Jung, Bernhard Paulweber, Johannes Bauer, Ludmilla Kedenko, Tobias Kiesslich, Barbara Fixl, Eugen Trinka, Patrick Langthaler, Bernhard Iglseder and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac 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
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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

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.

Mathias AusserwinklerDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria. mathias.ausserwinkler@gmx.at.ORCID http://orcid.org/0009-0000-3353-8702
Christian JungDepartment of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.ORCID http://orcid.org/0000-0001-8325-250X
Bernhard PaulweberDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0002-1609-4676
Johannes BauerDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0009-0003-5134-4137
Ludmilla KedenkoDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0009-0006-2814-0621
Tobias KiesslichDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0001-5403-9478
Barbara FixlInstitute of Ecomedicine, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0009-0007-1183-6419
Eugen TrinkaDepartment of Neurology, Neurointensive Care and Neurorehabilitation, Centre for Cognitive Neuroscience, Member of the European Reference Network EpiCARE, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0002-5950-2692
Patrick LangthalerDepartment of Neurology, Neurointensive Care and Neurorehabilitation, Centre for Cognitive Neuroscience, Member of the European Reference Network EpiCARE, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0009-0007-7226-8371
Bernhard IglsederDepartment of Geriatric Medicine, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0002-6132-8670
Maria FlammInstitute of General Practice, Family Medicine and Preventive Medicine, Center for Public Health and Healthcare Research, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0003-0816-6657
Elmar AignerDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0003-0310-0536
Bernhard WernlyDepartment of Internal Medicine I, University Hospital Salzburg, Paracelsus Medical University, Salzburg, Austria.ORCID http://orcid.org/0000-0003-4024-0220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum uric acid has been consistently associated with cardiovascular risk, yet whether this relationship reflects independent vascular pathology or cardiometabolic risk clustering remains unresolved. We examined associations of serum uric acid and hyperuricemia with imaging-defined subclinical coronary and carotid atherosclerosis in a large population-based cohort.

methodsWe analyzed data from the Paracelsus 10,000 study, a population-based cohort of adults aged 40-77 years recruited from the Austrian national population registry. Coronary artery calcium (CAC) was assessed by computed tomography in 1561 participants with available cardiac computed tomography and polygenic risk score data; carotid plaque burden was assessed by ultrasonography in 8970 participants. Associations were evaluated using ordinal logistic regression - with CAC categorized by Agatston score (0, 1-99, 100-299, ≥ 300) and carotid plaque burden categorized by total plaque area - with sequential adjustment for cardiovascular risk score (SCORE2), metabolic syndrome, polygenic cardiovascular risk, lipoprotein(a) and systemic inflammation.

resultsHigher serum uric acid levels were strongly associated with greater CAC burden in unadjusted analyses (OR 1.60 per 1 mg/dL, 95% CI 1.48-1.74). This association was attenuated but remained significant after adjustment for cardiovascular risk score, metabolic syndrome, polygenic risk, lipoprotein(a), and inflammatory markers (OR 1.26, 95% CI 1.14-1.38). Hyperuricemia was independently associated with higher CAC categories after adjustment (OR 1.67, 95% CI 1.20-2.32). Carotid plaque burden showed a strong unadjusted association with serum uric acid that was substantially attenuated after multivariable adjustment, although a weak association remained statistically significant (OR 1.06, 95% CI 1.01-1.10).

conclusionsSerum uric acid and hyperuricemia are independently associated with subclinical coronary atherosclerosis beyond established cardiovascular risk factors, genetic susceptibility and systemic inflammation. The attenuation of carotid plaque associations after full adjustment suggests that extracoronary plaque burden is largely driven by cardiometabolic risk clustering rather than urate-specific pathways. These findings position uric acid as a clinically accessible marker of subclinical coronary atherosclerosis and raise the question of whether systematic urate assessment should inform cardiovascular risk stratification beyond established risk scores.

Indexed as

Carotid ArteriesCarotid Artery DiseasesCoronary Artery DiseaseCoronary VesselsHyperuricemiaUric AcidAdultAgedAustriaBiomarkersFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticRegistriesBiomarkersUric AcidCarotid Plaque BurdenCoronary Artery CalcificationGoutHyperuricemiaSerum Uric AcidSubclinical Atherosclerosis

Identifiers

PMID42370995
PMCPMC13346304

What Socratic holds

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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 Socratic graph.