Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey

• Main Authors: Bin Zhu (Author), Li Yang (Author), Mingfen Wu (Author), Qiao Wu (Author), Kejia Liu (Author), Yansheng Li (Author), Wei Guo (Author), Zhigang Zhao (Author)
• Format: Book
• Published: Frontiers Media S.A., 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Hyperuricemia is a serious health problem related to not only gout but also cardiovascular diseases (CVDs). Low-dose aspirin was reported to inhibit uric acid excretion, which leads to hyperuricemia. To decrease hyperuricemia-related CVD, this study aimed to identify the risk of hyperuri...