Mengozzi Alessandro, Pugliese Nicola Riccardo, Desideri Giovambattista, Masi Stefano, Angeli Fabio, Barbagallo Carlo Maria, Bombelli Michele, Cappelli Federica, Casiglia Edoardo, Cianci Rosario, Ciccarelli Michele, Cicero Arrigo F G, Cirillo Massimo, Cirillo Pietro, Dell'Oro Raffaella, D'Elia Lanfranco, Ferri Claudio, Galletti Ferruccio, Gesualdo Loreto, Giannattasio Cristina, Grassi Guido, Iaccarino Guido, Lippa Luciano, Mallamaci Francesca, Maloberti Alessandro, Masulli Maria, Mazza Alberto, Muiesan Maria Lorenza, Nazzaro Pietro, Palatini Paolo, Parati Gianfranco, Pontremoli Roberto, Quarti-Trevano Fosca, Rattazzi Marcello, Reboldi Gianpaolo, Rivasi Giulia, Russo Elisa, Salvetti Massimo, Tikhonoff Valerie, Tocci Giuliano, Ungar Andrea, Verdecchia Paolo, Viazzi Francesca, Volpe Massimo, Borghi Claudio, Virdis Agostino
Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.
Center for Translational and Experimental Cardiology (CTEC), Department of Cardiology, University Hospital Zurich, University of Zurich, 8952 Schlieren, Switzerland.
Metabolites. 2023 Feb 7;13(2):244. doi: 10.3390/metabo13020244.
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], < 0.001) and CVM (1.31 [1.11-1.74], < 0.001) in the whole study population, and according to TG strata: ACM in normotriglyceridemia (HR 1.26 [1.12-1.43], < 0.001) and hypertriglyceridemia (1.31 [1.02-1.68], = 0.033), and CVM in normotriglyceridemia (HR 1.46 [1.23-1.73], < 0.001) and hypertriglyceridemia (HR 1.31 [0.99-1.64], = 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.
高血清尿酸(SUA)和甘油三酯(TG)水平可能会在整个心脏代谢谱中促进高心血管风险表型。然而,在正常和高TG水平情况下SUA的预测能力从未被研究过。我们纳入了尿酸对心脏健康有益(URRAH)研究队列中的8124名患者,这些患者被随访了20多年,且没有确诊的心血管疾病或未控制的代谢疾病。采用最近定义的ACM(≥4.7mg/dL)和CVM(≥5.6mg/dL)的SUA临界值,通过Kaplan-Meier估计器和Cox多变量回归来探讨全因死亡率(ACM)和心血管死亡率(CVM)。作为验证,对心脏代谢亚组进行了探索性分析,并使用SUA/血清肌酐进行了敏感性分析。在整个研究人群中,SUA可预测ACM(风险比[HR]1.25[1.12 - 1.40],P<0.001)和CVM(1.31[1.11 - 1.74],P<0.001),并根据TG分层:在正常甘油三酯血症中ACM(HR 1.26[1.12 - 1.43],P<0.001)和高甘油三酯血症中(1.31[1.02 - 1.68],P = 0.033),以及在正常甘油三酯血症中CVM(HR 1.46[1.23 - 1.73],P<0.001)和高甘油三酯血症中(HR 1.31[0.99 - 1.64],P = 0.060)。探索性和敏感性分析证实了我们的发现,表明SUA在正常甘油三酯血症和高甘油三酯血症中起重要作用。总之,我们报告SUA可以在无确诊心血管疾病的心脏代谢患者中预测ACM和CVM,且独立于TG水平。