Literature DB >> 31873735

Comparative cardiovascular risk in users versus non-users of xanthine oxidase inhibitors and febuxostat versus allopurinol users.

Chengsheng Ju1, Rachel Wing Chuen Lai2, Ka Hou Christien Li3, Joshua Kai Fung Hung2, Jenny C L Lai4, Jeffery Ho5, Yingzhi Liu6, Man Fung Tsoi7, Tong Liu8, Bernard Man Yung Cheung7, Ian Chi Kei Wong1,9, Lai Shan Tam10, Gary Tse8,11.   

Abstract

OBJECTIVES: The aim of this study is to determine major adverse cardiovascular events (MACE) and all-cause mortality comparing between xanthine oxidase inhibitors (XOIs) and non-XOI users, and between allopurinol and febuxostat.
METHODS: This is a retrospective cohort study of gout patients prescribed anti-hyperuricemic medications between 2013 and 2017 using a territory-wide administrative database. XOI users were matched 1:1 to XOI non-users using propensity scores. Febuxostat users were matched 1:3 to allopurinol users. Subgroup analyses were conducted based on colchicine use.
RESULTS: Of the 13 997 eligible participants, 3607 (25.8%) were XOI users and 10 390 (74.2%) were XOI non-users. After propensity score matching, compared with non-users (n = 3607), XOI users (n = 3607) showed similar incidence of MACE (hazard ratio [HR]: 0.997, 95% CI, 0.879, 1.131; P>0.05) and all-cause mortality (HR = 0.972, 95% CI 0.886, 1.065, P=0.539). Febuxostat (n = 276) users showed a similar risk of MACE compared with allopurinol users (n = 828; HR: 0.672, 95% CI, 0.416, 1.085; P=0.104) with a tendency towards a lower risk of heart failure-related hospitalizations (HR = 0.529, 95% CI 0.272, 1.029; P=0.061). Concurrent colchicine use reduced the risk for all-cause mortality amongst XOI users (HR = 0.671, 95% 0.586, 0.768; P<0.001).
CONCLUSION: In gout patients, XOI users showed similar risk of MACE and all-cause mortality compared with non-users. Compared with allopurinol users, febuxostat users showed similar MACE and all-cause mortality risks but lower heart failure-related hospitalizations.
© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  allopurinol; cardiovascular risk; febuxostat; gout; myocardial infarction; xanthine oxidase inhibitor

Year:  2020        PMID: 31873735     DOI: 10.1093/rheumatology/kez576

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  14 in total

1.  Tea and its components reduce the production of uric acid by inhibiting xanthine oxidase.

Authors:  Dan Wu; Ruohong Chen; Wenji Zhang; Xingfei Lai; Lingli Sun; Qiuhua Li; Zhenbiao Zhang; Junxi Cao; Shuai Wen; Zhaoxiang Lai; Zhigang Li; Fanrong Cao; Shili Sun
Journal:  Food Nutr Res       Date:  2022-06-15       Impact factor: 3.221

2.  Gender-specific clinical risk scores incorporating blood pressure variability for predicting incident dementia.

Authors:  Jiandong Zhou; Sharen Lee; Wing Tak Wong; Khalid Bin Waleed; Keith Sai Kit Leung; Teddy Tai Loy Lee; Abraham Ka Chung Wai; Tong Liu; Carlin Chang; Bernard Man Yung Cheung; Qingpeng Zhang; Gary Tse
Journal:  J Am Med Inform Assoc       Date:  2022-01-12       Impact factor: 7.942

3.  Molecular Dockings and Molecular Dynamics Simulations Reveal the Potency of Different Inhibitors against Xanthine Oxidase.

Authors:  Yue Pan; Zhongkui Lu; Congcong Li; Renrui Qi; Hao Chang; Lu Han; Weiwei Han
Journal:  ACS Omega       Date:  2021-04-22

Review 4.  Impact of hyperuricemia on chronic kidney disease and atherosclerotic cardiovascular disease.

Authors:  Hitoshi Nishizawa; Norikazu Maeda; Iichiro Shimomura
Journal:  Hypertens Res       Date:  2022-01-19       Impact factor: 3.872

Review 5.  Cardiovascular safety of febuxostat compared to allopurinol for the treatment of gout: A systematic and meta-analysis.

Authors:  Linggen Gao; Bin Wang; Ying Pan; Yan Lu; Rui Cheng
Journal:  Clin Cardiol       Date:  2021-05-20       Impact factor: 3.287

6.  Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong.

Authors:  Jiandong Zhou; Sharen Lee; Xiansong Wang; Yi Li; William Ka Kei Wu; Tong Liu; Zhidong Cao; Daniel Dajun Zeng; Keith Sai Kit Leung; Abraham Ka Chung Wai; Ian Chi Kei Wong; Bernard Man Yung Cheung; Qingpeng Zhang; Gary Tse
Journal:  NPJ Digit Med       Date:  2021-04-08

7.  Development of a predictive risk model for all-cause mortality in patients with diabetes in Hong Kong.

Authors:  Sharen Lee; Jiandong Zhou; Keith Sai Kit Leung; William Ka Kei Wu; Wing Tak Wong; Tong Liu; Ian Chi Kei Wong; Kamalan Jeevaratnam; Qingpeng Zhang; Gary Tse
Journal:  BMJ Open Diabetes Res Care       Date:  2021-06

Review 8.  Gout Pharmacotherapy in Cardiovascular Diseases: A Review of Utility and Outcomes.

Authors:  Subuhi Kaul; Manasvi Gupta; Dhrubajyoti Bandyopadhyay; Adrija Hajra; Prakash Deedwania; Edward Roddy; Mamas Mamas; Allan Klein; Carl J Lavie; Gregg C Fonarow; Raktim K Ghosh
Journal:  Am J Cardiovasc Drugs       Date:  2020-12-28       Impact factor: 3.571

9.  Multi-modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45.

Authors:  Gary Tse; Jiandong Zhou; Samuel Won Dong Woo; Ching Ho Ko; Rachel Wing Chuen Lai; Tong Liu; Yingzhi Liu; Keith Sai Kit Leung; Andrew Li; Sharen Lee; Ka Hou Christien Li; Ishan Lakhani; Qingpeng Zhang
Journal:  ESC Heart Fail       Date:  2020-10-23

10.  Predictive scores for identifying patients with type 2 diabetes mellitus at risk of acute myocardial infarction and sudden cardiac death.

Authors:  Sharen Lee; Jiandong Zhou; Cosmos Liutao Guo; Wing Tak Wong; Tong Liu; Ian Chi Kei Wong; Kamalan Jeevaratnam; Qingpeng Zhang; Gary Tse
Journal:  Endocrinol Diabetes Metab       Date:  2021-02-19
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