Association between pre-diagnostic serum uric acid levels in patients with newly diagnosed epilepsy and conversion rate to drug-resistant epilepsy within 5 years: A common data model analysis
- Authors
- Koh, Seungyon; Lee, Dong Yun; Cha, Jae Myung; Kim, Yerim; Kim, Hyung Hoi; Yang, Hyeon-Jong; Park, Rae Woong; Choi, Jun Young
- Issue Date
- May-2024
- Publisher
- W B SAUNDERS CO LTD
- Keywords
- Uric acid; Drug-resistant epilepsy; Neuroprotection; Common data model
- Citation
- SEIZURE-EUROPEAN JOURNAL OF EPILEPSY, v.118, pp 103 - 109
- Pages
- 7
- Journal Title
- SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
- Volume
- 118
- Start Page
- 103
- End Page
- 109
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/26292
- DOI
- 10.1016/j.seizure.2024.04.014
- ISSN
- 1059-1311
1532-2688
- Abstract
- Purpose: Drug -resistant epilepsy (DRE) poses a significant challenge in epilepsy management, and reliable biomarkers for identifying patients at risk of DRE are lacking. This study aimed to investigate the association between serum uric acid (UA) levels and the conversion rate to DRE. Methods: A retrospective cohort study was conducted using a common data model database. The study included patients newly diagnosed with epilepsy, with prediagnostic serum UA levels within a six-month window. Patients were categorized into hyperUA (>= 7.0 mg/dL), normoUA ( <7.0 and >2.0 mg/dL), and hypoUA (<= 2.0 mg/dL) groups based on their prediagnostic UA levels. The outcome was the conversion rate to DRE within five years of epilepsy diagnosis. Results: The study included 5,672 patients with epilepsy and overall conversion rate to DRE was 19.4%. The hyperUA group had a lower DRE conversion rate compared to the normoUA group (HR: 0.81 [95% CI: 0.69 -0.96]), while the hypoUA group had a higher conversion rate (HR: 1.88 [95% CI: 1.38 -2.55]). Conclusions: Serum UA levels have the potential to serve as a biomarker for identifying patients at risk of DRE, indicating a potential avenue for novel therapeutic strategies aimed at preventing DRE conversion.
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Collections - College of Medicine > Department of Pediatrics > 1. Journal Articles
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