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Serum Uric Acid Predicts All-Cause and Cardiovascular Mortality Independently of Hypertriglyceridemia in Cardiometabolic Patients without Established CV Disease: A Sub-Analysis of the URic acid Right for heArt Health (URRAH) Study

Authors :
Alessandro Mengozzi
Nicola Riccardo Pugliese
Giovambattista Desideri
Stefano Masi
Fabio Angeli
Carlo Maria Barbagallo
Michele Bombelli
Federica Cappelli
Edoardo Casiglia
Rosario Cianci
Michele Ciccarelli
Arrigo F. G. Cicero
Massimo Cirillo
Pietro Cirillo
Raffaella Dell’Oro
Lanfranco D’Elia
Claudio Ferri
Ferruccio Galletti
Loreto Gesualdo
Cristina Giannattasio
Guido Grassi
Guido Iaccarino
Luciano Lippa
Francesca Mallamaci
Alessandro Maloberti
Maria Masulli
Alberto Mazza
Maria Lorenza Muiesan
Pietro Nazzaro
Paolo Palatini
Gianfranco Parati
Roberto Pontremoli
Fosca Quarti-Trevano
Marcello Rattazzi
Gianpaolo Reboldi
Giulia Rivasi
Elisa Russo
Massimo Salvetti
Valerie Tikhonoff
Giuliano Tocci
Andrea Ungar
Paolo Verdecchia
Francesca Viazzi
Massimo Volpe
Claudio Borghi
Agostino Virdis
Source :
Metabolites, Vol 13, Iss 2, p 244 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

High serum uric acid (SUA) and triglyceride (TG) levels might promote high-cardiovascular risk phenotypes across the cardiometabolic spectrum. However, SUA predictive power in the presence of normal and high TG levels has never been investigated. We included 8124 patients from the URic acid Right for heArt Health (URRAH) study cohort who were followed for over 20 years and had no established cardiovascular disease or uncontrolled metabolic disease. All-cause mortality (ACM) and cardiovascular mortality (CVM) were explored by the Kaplan–Meier estimator and Cox multivariable regression, adopting recently defined SUA cut-offs for ACM (≥4.7 mg/dL) and CVM (≥5.6 mg/dL). Exploratory analysis across cardiometabolic subgroups and a sensitivity analysis using SUA/serum creatinine were performed as validation. SUA predicted ACM (HR 1.25 [1.12–1.40], p < 0.001) and CVM (1.31 [1.11–1.74], p < 0.001) in the whole study population, and according to TG strata: ACM in normotriglyceridemia (HR 1.26 [1.12–1.43], p < 0.001) and hypertriglyceridemia (1.31 [1.02–1.68], p = 0.033), and CVM in normotriglyceridemia (HR 1.46 [1.23–1.73], p < 0.001) and hypertriglyceridemia (HR 1.31 [0.99–1.64], p = 0.060). Exploratory and sensitivity analyses confirmed our findings, suggesting a substantial role of SUA in normotriglyceridemia and hypertriglyceridemia. In conclusion, we report that SUA can predict ACM and CVM in cardiometabolic patients without established cardiovascular disease, independent of TG levels.

Details

Language :
English
ISSN :
22181989
Volume :
13
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.6fec1f43281040eb96251f6a132c79b2
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo13020244