The influence of geographical environment factors on reference value of serum uric acid in healthy people based on CatBoost model and SHAP analysis
- VernacularTitle:基于CatBoost模型与SHAP分析研究地理环境因子对健康人血尿酸参考值的影响
- Author:
Xiangrong LIANG
1
;
Miao GE
1
;
Congxia WANG
2
;
Jinwei HE
3
Author Information
- Publication Type:Journal Article
- Keywords: hyperuricemia; uric acid (UA); geographic environment; CatBoost; SHAP; Kriging
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2023;44(4):601-607
- CountryChina
- Language:Chinese
- Abstract: 【Objective】 To explore the geographical environment factors that may affect serum uric acid (UA) of healthy people and explore the change trend of UA reference value at the national scale. 【Methods】 The UA reference values of 607905 healthy people from 565 loci in China were collected, and the correlation between 25 geographical environment factors and UA reference values was analyzed by correlation analysis. CatBoost model was constructed and SHAP value interpretation model was applied to predict the UA reference values of healthy people in counties and cities in China, and the geographical distribution map of UA reference values of healthy people in China was drawn by using ordinary Kriging. 【Results】 A total of 20 indicators, namely, latitude, altitude, annual average temperature, annual average relative humidity, annual precipitation, air temperature annual range, annual average wind speed, percentage of surface soil silt, surface soil bulk density, surface soil gravel content, surface soil organic matter content, surface soil PH, surface soil (clay) cation exchange capacity, surface soil (silt) cation exchange capacity, surface soil base saturation, total surface soil exchange capacity, T-CaCO3, T-CaSO4, surface soil alkalinity, and surface soil salt showed their correlation with UA reference value of healthy people nationwide. The spatial distribution of UA reference values of healthy people across the country differed, manifested as the changing trend of higher in high altitude regions, higher in coastal regions than in inland regions, lower in the mid-eastern region, and higher in Southwest China at similar altitudes. 【Conclusion】 This study lays a foundation for further studies on the mechanism of different influencing factors on UA reference value. CatBoost model was established to provide the basis for establishing reference standards using UA reference values as prognostic factors for hyperuricemia and related chronic diseases in different regions.
