@article{f2eae4e3da734155af5b398d53ff1941,
title = "Comparative Renoprotective Effect of Febuxostat and Allopurinol in Predialysis Stage 5 Chronic Kidney Disease Patients: A Nationwide Database Analysis",
abstract = "Hyperuricemia has been associated with chronic kidney disease (CKD) progression. The antihyperuricemic febuxostat's potential renoprotective effect has been demonstrated in stage 1–3 CKD. Large-scale studies comparing the renoprotective potential of febuxostat and allopurinol in advanced CKD are lacking. We exclusively selected 6,057 eligible patients with predialysis stage 5 CKD prescribed either febuxostat or allopurinol using the National Health Insurance Research Database in Taiwan during 2012–2015. There were 69.57% of allopurinol users and 42.01% febuxostat users who required long-term dialysis (P < 0.0001). The adjusted hazard ratio (HR) of 0.65 (95% confidence interval (CI) 0.60–0.70) indicated near 35% lower hazards of long-term dialysis with febuxostat use. The renal benefit of febuxostat was consistent across most patient subgroups and/or using the propensity score-matched cohort. The adjusted HR was 0.66 (95% CI, 0.61–0.70) for long-term dialysis or death. In conclusion, lower risk of progression to dialysis was observed in predialysis stage 5 CKD febuxostat users without compromising survival.",
author = "Hsu, {Yun Shiuan O.} and Wu, {I. Wen} and Chang, {Shang Hung} and Lee, {Cheng Chia} and Tsai, {Chung Ying} and Lin, {Chan Yu} and Lin, {Wan Ting} and Huang, {Yu Tung} and Wu, {Chao Yi} and George Kuo and Hsiao, {Chih Yen} and Lin, {Hsing Lin} and Yang, {Chih Chao} and Yen, {Tzung Hai} and Chen, {Yung Chang} and Hung, {Cheng Chieh} and Tian, {Ya Chong} and Kuo, {Chang Fu} and Yang, {Chih Wei} and Anderson, {Gerard F.} and Yang, {Huang Yu}",
note = "Funding Information: The authors thank the statistical assistance and wish to acknowledge the support of the Maintenance Project of the Center for Big Data Analytics and Statistics at Chang Gung Memorial Hospital for study design and monitoring, data analysis, and interpretation. Funding Information: This study was supported by grants from Chang Gung Memorial Hospital, Taiwan (CORPG3G1011, CORPG5G0071, CORPG5H0091) and the Maintenance Project of the Center for Big Data Analytics and Statistics at Chang Gung Memorial Hospital (CLRPG3D0045). The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Publisher Copyright: {\textcopyright} 2019 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.",
year = "2020",
month = may,
day = "1",
doi = "10.1002/cpt.1697",
language = "English (US)",
volume = "107",
pages = "1159--1169",
journal = "Clinical Pharmacology and Therapeutics",
issn = "0009-9236",
publisher = "Nature Publishing Group",
number = "5",
}