Evidence map›Paper›PMID 31308681›Full record

ArticleTherapeutics and clinical risk management2019

Urinary orosomucoid: a new marker of cardiovascular risk in psoriatic patients?

Balázs Németh, Iván Péter, Imre Boncz, Anna Jagicza, István Kiss, Ágnes Csergő, Tamás Kőszegi, Péter Kustán, Iván G Horváth, Zénó Ajtay

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Article in Therapeutics and clinical risk management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

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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

10 authors.

Balázs NémethDermatology Unit, Zsigmondy Vilmos SPA Hospital, Harkány, Hungary.
Iván PéterDermatology Unit, Zsigmondy Vilmos SPA Hospital, Harkány, Hungary.
Imre BonczDermatology Unit, Zsigmondy Vilmos SPA Hospital, Harkány, Hungary.
Anna JagiczaDermatology Unit, Zsigmondy Vilmos SPA Hospital, Harkány, Hungary.
István KissDepartment of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary.
Ágnes CsergőDepartment of Public Health Medicine, Medical School, University of Pécs, Pécs, Hungary.
Tamás KőszegiDepartment of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary.
Péter KustánDepartment of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary.
Iván G HorváthHeart Institute, Medical School, University of Pécs, Pécs, Hungary.
Zénó AjtayDermatology Unit, Zsigmondy Vilmos SPA Hospital, Harkány, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePsoriasis is one of the most common lifelong lasting dermatologic diseases. According to the latest studies, psoriatic patients have a higher risk of developing cardiovascular diseases. Psoriasis is considered as a systemic inflammatory disease. Several oxidative stress markers have been shown to be elevated in psoriasis. However, a panel of biomarkers has not been used yet. This study was aimed at exploring the connection between a panel of biomarkers (C-reactive protein, asymmetric dimethylarginine, uric acid, total antioxidant capacity, malondialdehyde, and orosomucoid [ORM]) and cardiovascular risk in psoriatic patients. PATIENTS AND

methodsThe inclusion criterion was the onset of psoriasis with skin lesions. Exclusion criteria were impaired renal function (eGFR<60 mL/min/1.73 m

resultsOne hundred and fourteen psoriatic patients were enrolled. Only urinary orosomucoid and urinary orosomucoid/urinary creatinine (u-ORM/u-CREAT) ratio showed significant correlation with QRISK score (u-ORM, r=0.245; u-ORM/u-CREAT, r=0.309). When comparing mild psoriatic patients to moderate psoriatic patients, significant differences could only be found in u-ORM and u-ORM/u-CREAT ratio.

conclusionThere seems to be a connection between urinary ORM and cardiovascular risk. U-ORM and u-ORM/u-CREAT ratio could be used as an indicator of low-grade inflammation in mild and moderate psoriasis. However, it is the 10-year follow-up of cardiovascular events that will determine the usefulness of this biomarker panel.

Indexed as

biomarkercardiovascular riskC-reactive proteinorosomucoidoxidative stresspsoriasis

Identifiers

PMID31308681
PMCPMC6616299

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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.