Background Risk of hyperuricemia (HU) has been shown to be strongly associated with
dietary factors. However, there is scarce evidence on prediction models incorporating …

This study aims to establish a simple and non-invasive risk prediction model for
hyperuricemia in Chinese adults based on modifiable risk factors. In 2020–2021, the …

Objectives: The present study aimed to develop a random forest (RF) based prediction
model for hyperuricemia (HUA) and compare its performance with the conventional logistic …

Background: Hyperuricemia (HUA) contributes to gout and many other diseases. Many
hyperuricemia-related risk factors have been discovered, which provided the possibility for …

Currently, the most widely used screening methods for hyperuricemia (HUA) involves
invasive laboratory tests, which are lacking in many rural hospitals in China. This study …

Background Diet plays an important role in the development of hyperuricemia (HUA), but
evidence for association between overall dietary patterns and HUA is scarce and …

Objectives: An accurate prediction model for hyperuricemia (HUA) in adults remain
unavailable. This study aimed to develop a stacking ensemble prediction model for HUA to …

MATERIALS AND METHODS Participants. All individuals aged 20–59 y were recruited from
the Health Examination Center of Heping District, Tianjin, China on the basis of a routine …

This study aimed to investigate the prevalence of hyperuricemia (HUA) and associated risk
factors in Chinese adults aged 18 to 59 years. All the data were collected from the China …

Background Patients with type 2 diabetes Mellitus (T2DM) are more likely to suffer from a
higher uric acid level in blood—hyperuricemia (HUA). There are no conclusive studies done …