Literature DB >> 28334637

On the non-linear association between serum uric acid levels and all-cause mortality rate in patients with type 2 diabetes mellitus.

Olga Lamacchia1, Andrea Fontana2, Antonio Pacilli3, Massimiliano Copetti4, Stefania Fariello1, Monia Garofolo5, Giuseppe Penno5, Vincenzo Trischitta6, Salvatore De Cosmo7, Mauro Cignarelli8.   

Abstract

BACKGROUND AND AIMS: High levels of serum uric acid (SUA) are associated with increased mortality risk in the general population. Contrasting results are available in people with diabetes. The aim of our study was to investigate the association and its functional form between SUA and all cause-mortality in patients with type 2 diabetes mellitus (T2DM).
METHODS: We studied three cohorts of patients with T2DM: Gargano Mortality Study, Foggia Mortality Study, Pisa Mortality Study. All-cause mortality rate was the end point of this study.
RESULTS: The most reliable relationship between SUA levels and all-cause mortality rate was quadratic, with such model being well approximated by SUA tertiles. Both tertiles 1 and 3 were at higher risk of mortality as compared to tertile 2: Hazard Ratio (HR) [95% Confidence Interval (CI)] = 1.34 (1.07-1.68) and 1.61 (1.29-1.99), respectively. In the pseudo-sample, created from the real pooled sample, the best relationship between SUA and all-cause mortality rate was quadratic. In a tree-based Recursive Partitioning and Regression Tree analysis two subgroups at increased risk of mortality were identified, namely those with SUA levels ≥7.28 mg/dl and with SUA levels <4.16 mg/dl as compared to patients with intermediate SUA levels (i.e. 4.16-7.28), thus providing further evidence on the J-shaped relationship between SUA levels and mortality rate.
CONCLUSIONS: SUA was not linearly associated with all-cause mortality rate in patients with T2DM. For clinical and public health purposes such association is J-shaped.
Copyright © 2017. Published by Elsevier B.V.

Entities:  

Keywords:  Diabetic complications; Oxidative stress; Risk factors

Mesh:

Substances:

Year:  2017        PMID: 28334637     DOI: 10.1016/j.atherosclerosis.2017.03.008

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  6 in total

1.  Estimation of Mortality Risk in Type 2 Diabetic Patients (ENFORCE): An Inexpensive and Parsimonious Prediction Model.

Authors:  Massimiliano Copetti; Hetal Shah; Andrea Fontana; Maria Giovanna Scarale; Claudia Menzaghi; Salvatore De Cosmo; Monia Garofolo; Maria Rosaria Sorrentino; Olga Lamacchia; Giuseppe Penno; Alessandro Doria; Vincenzo Trischitta
Journal:  J Clin Endocrinol Metab       Date:  2019-10-01       Impact factor: 5.958

2.  Association between Insulin-Like Growth Factor-1 and Uric Acid in Chinese Children and Adolescents with Idiopathic Short Stature: A Cross-Sectional Study.

Authors:  Panpan Wang; Baolan Ji; Qian Shao; Mei Zhang; Bo Ban
Journal:  Biomed Res Int       Date:  2018-01-28       Impact factor: 3.411

3.  Decreased Serum Bilirubin Levels and Increased Uric Acid Levels are Associated with Ulcerative Colitis.

Authors:  Shan Tian; Jiao Li; Ruixue Li; Zhengru Liu; Weiguo Dong
Journal:  Med Sci Monit       Date:  2018-09-09

4.  Gender- and age-dependencies of oxidative stress, as detected based on the steady state concentrations of different biomarkers in the MARK-AGE study.

Authors:  Ilya Pinchuk; Daniela Weber; Bastian Kochlik; Wolfgang Stuetz; Olivier Toussaint; Florence Debacq-Chainiaux; Martijn E T Dollé; Eugène H J M Jansen; Efstathios S Gonos; Ewa Sikora; Nicolle Breusing; Daniela Gradinaru; Thilo Sindlinger; María Moreno-Villanueva; Alexander Bürkle; Tilman Grune; Dov Lichtenberg
Journal:  Redox Biol       Date:  2019-04-15       Impact factor: 11.799

5.  Distinct Prognostic Role of Serum Uric Acid Levels for Predicting All-Cause Mortality Among Chinese Adults Aged 45~75 Years With and Without Diabetes.

Authors:  Bowen Zhu; Jian Zhang; Nana Song; Yiqin Shi; Yi Fang; Xiaoqiang Ding; Yang Li
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-16       Impact factor: 6.055

6.  The Associations Between Gonadal Hormones and Serum Uric Acid Levels in Men and Postmenopausal Women With Diabetes.

Authors:  Heng Wan; Kun Zhang; Yuying Wang; Yi Chen; Wen Zhang; Fangzhen Xia; Yunping Zhang; Ningjian Wang; Yingli Lu
Journal:  Front Endocrinol (Lausanne)       Date:  2020-02-20       Impact factor: 5.555

  6 in total

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