Albuminuria as a marker of atherosclerosis burden and a possible predictor of adverse events in patients with polyvascular disease

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Background. The role of albuminuria as a marker of the atherosclerosis burden and a predictor of prognosis in patients with polyvascular disease (PD) has been little studied.

Aim. To evaluate the prevalence, association with atherosclerosis burden, and prognostic value of albuminuria in relation to cardiovascular and bleeding complications in patients with PD.

Materials and methods. The data was obtained from the prospective registry REGATA-1 (NCT04347200). Seventy four patients (75.7% males, median age 67 [61–69] years) with PD (CAD and peripheral arterial disease) were enrolled. All patients received aspirin and rivaroxaban 2.5 mg. The albumin-creatinine ratio in a single morning urine sample, estimated glomerular filtration rate (eGFR), and von Willebrand factor levels were determined.

Results. Mild albuminuria (10–29 mg/g) was detected in 45.9% of patients, moderate and severe (≥30 mg/g) – in 29.7%; eGFR<60 ml/min – in 21.7%, chronic kidney disease (CKD) according to the full KDIGO criteria (eGFR and/or albuminuria ≥30 mg/g) – twice as often (39.2%). The frequency of nephroprotective therapy prescription was insufficient. The level of albuminuria did not correlate with von Willebrand factor (endothelial dysfunction marker), but was associated with affecting of 4–5 vascular beds (ROC AUC 0.775; p=0.011). During the follow-up (12 [8–18] months) 3 patients developed MACE, 11 – BARC 2–3 bleedings. Neither albuminuria nor eGFR were predictors of MACE, bleeding, or net clinical benefit. CKD (KDIGO) was also not associated with bleedings. CKD (KDIGO) was independent predictor of MACE (in significant multiple regression model beta – coefficient for CKD was 0.097; p=0.042), however, the small number of end points allows us to speak only of a hypothesis-generating trend. The implementation of CKD (KDIGO) has increased the predictive value of the REACH score.

Conclusion. Albuminuria is highly prevalent in patients with PD. It is a marker of atherosclerosis burden. CKD, diagnosed taking into account the level of albuminuria, can be used in a comprehensive assessment of cardiovascular risk in this category of patients.

作者简介

Olga Shakhmatova

Chazov National Medical Research Center of Cardiology

编辑信件的主要联系方式.
Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0002-4616-1892

Candidate of Medical Sciences, Researcher at the Department of Clinical Problems of Atherothrombosis

俄罗斯联邦, Moscow

Andrey Komarov

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0001-9141-103X

Doctor of Medical Sciences, Ved. Researcher Dept. clinical problems of atherothrombosis

俄罗斯联邦, Moscow

Elena Krivosheeva

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0003-1146-9974

Candidate of Medical Sciences, Jr. Researcher Dept. clinical problems of atherothrombosis

俄罗斯联邦, Moscow

Anatoly Dobrovolsky

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0001-5397-6857

Doctor of Biology Sciences, chief researcher of the department. clinical problems of atherothrombosis

俄罗斯联邦, Moscow

Elena Titaeva

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0001-5271-9074

Ph.D. biol. Sciences, Art. Researcher Dept. clinical problems of atherothrombosis

俄罗斯联邦, Moscow

Vera Amelyushkina

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com

laboratory diagnostics doctor

俄罗斯联邦, Moscow

Nataliya Gomyranova

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0003-4500-0904

Head of Clinical Diagnostic Laboratory

俄罗斯联邦, Moscow

Elizaveta Panchenko

Chazov National Medical Research Center of Cardiology

Email: olga.shahmatova@gmail.com
ORCID iD: 0000-0002-1174-2574

Doctor of Medical Sciences, Chief Researcher of the Department. clinical problems of atherothrombosis

俄罗斯联邦, Moscow

参考

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2. Fig. 1. Albumin/creatinine ratio in morning urine portion in patients.

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3. Fig. 2. Albuminuria depending on the number of affected vascular basins: a – comparison of the average of albuminuria; b – operating curve, reflecting the relationship of albumaniria to damage of 4–5 vascular basins.

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4. Fig. 3. Comparison of the predictive value of chronic kidney disease, the original REACH scale, and the modified REACH scale (operational curve analysis) for cardiovascular disease.

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