Şaylık F, Çınar T, Selçuk M, Tanboğa İH. The Relationship between Uric Acid/Albumin Ratio and Carotid Intima-Media Thickness in Patients with Hypertension.
Arq Bras Cardiol 2023;
120:e20220819. [PMID:
37098960 PMCID:
PMC10124582 DOI:
10.36660/abc.20220819]
[Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 02/15/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND
Hypertension causes subendothelial inflammation and dysfunction in resulting atherosclerosis. Carotid intima-media thickness (CIMT) is a useful marker of endothelial dysfunction and atherosclerosis. The uric acid to albumin ratio (UAR) has emerged as a novel marker for predicting cardiovascular events.
OBJECTIVE
We aimed to investigate the association of UAR with CIMT in hypertensive patients.
METHODS
Two hundred sixteen consecutive hypertensive patients were enrolled in this prospective study. All patients underwent carotid ultrasonography to classify low (CIMT < 0.9 mm) and high (CIMT ≥ 0.9 mm) CIMT groups. The predictive ability of UAR for high CIMT was compared with systemic immune inflammation index (SII), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and C-reactive protein/albumin ratio (CAR). A two-sided p-value <0.05 was accepted as statistically significant.
RESULTS
Patients with high CIMT were older and had higher UAR, SII, NLR, and CAR than low CIMT. Age, UAR, SII, NLR, and CAR, but not PLR, were associated with high CIMT. In multivariable analysis, age, CRP, SII, and UAR were independent predictors of high CIMT. The discrimination ability of UAR was higher than uric acid, albumin, SII, NLR, and CAR, and UAR had a higher model fit than those variables. UAR had higher additive improvement in detecting high CIMT than other variables, as assessed with net-reclassification improvement, IDI, and C-statistics. UAR was also significantly correlated with CIMT.
CONCLUSION
UAR might be used to predict high CIMT and might be useful for risk stratification in hypertensive patients.
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