摘要
目的 基于贝叶斯核机器回归(BKMR)模型分析成人6种醛类物质单一或联合暴露与高尿酸血症(HUA)和血清尿酸(SUA)水平的关系,并探讨醛类物质暴露导致HUA的相关因素。方法 选取2013—2014年美国健康与营养调查(NHANES)中20岁及以上、具有可用醛类物质检测数据的受访者作为研究对象。采用BKMR模型分析几种醛类物质单一或联合暴露与HUA和SUA水平间的复杂关联。通过多因素Logistic回归模型分析评估醛类物质与HUA的关系,并建立多元线性回归模型分析其与SUA水平的线性关系。采用分层分析探讨不同特征人群中醛类物质与HUA的相关性。结果 共纳入1 952例研究对象,其中346例(17.73%)被诊断患有HUA;丁醛[OR=1.59,95%CI(1.23,2.07)]、庚醛[OR=1.58,95%CI(1.18,2.13)]及己醛[OR=1.68,95%CI(1.15,2.45)]与HUA密切相关,即丁醛、庚醛或己醛浓度每增加1个单位,患HUA的风险分别增加约59%、58%和68%。BKMR模型结果显示,醛类物质暴露的联合效应与HUA和SUA有正向关联,其中己醛的后验包含概率最高(PIP=0.324),贡献最大。6种醛类物质与肾小球滤过率(GFR)降低和三酰甘油(TG)、总胆固醇(TC)及低密度脂蛋白胆固醇(LDL-C)水平升高呈显著正相关。结论 醛类物质单一或联合暴露与HUA之间呈正相关,这种关联可能与GFR降低以及TG和LDL-C水平升高等因素有关。
Objective To analyze the complex relationships between individual or combined exposures to six aldehydes and hyperuricemia(HUA)and serum uric acid(SUA)levels in adults by Bayesian kernel machine regression(BKMR),and to explore the factors associated with aldehyde exposure leading to HUA.Methods Participants aged 20 years and older with available aldehyde data were selected from the National Health and Nutrition Examination Survey(NHANES)2013-2014.The study employed BKMR to explore the complex associations between individual or combined exposure to multiple aldehydes and both HUA and SUA.Multivariable Logistic regression analysis was performed to evaluate the association between aldehydes and HUA,while multiple linear regression models were used to examine the linear relationship between aldehydes and SUA.Stratified analysis was conducted to explore the association between aldehydes and HUA across populations with different characteristics.Results A total of 1,952 participants were included in the analysis,of whom 346(17.73%)were diagnosed with HUA.Butyraldehyde[OR=1.59,95%CI(1.23,2.07)],heptaldehyde[OR=1.58,95%CI(1.18,2.13)],and hexaldehyde[OR=1.68,95%CI(1.15,2.45)]were significantly associated with HUA.For each one-unit increase in the concentration of butyraldehyde,heptaldehyde,or hexaldehyde,the risk of developing HUA increased by approximately 59%,58%,and 68%,respectively.The results from the BKMR model indicated that the combined effect of aldehyde exposure was positively associated with both HUA and SUA.Among the individual aldehydes,hexaldehyde showed the highest posterior inclusion probability(PIP=0.324),suggesting the greatest contribution to the observed association.Six aldehydes were also significantly positively correlated with reduced glomerular filtration rate(GFR)and elevated levels of triglycerides(TG),total cholesterol(TC),and low-density lipoprotein cholesterol(LDL-C).Conclusion Individual or combined exposure to aldehydes was positively associated with HUA.This association may be attributed to factors such as reduced GFR,as well as elevated levels of TG and LDL-C.
作者
邴爽
黄茹
张艺潆
BING Shuang;HUANG Ru;ZHANG Yiying(Department of Epidemiology and Biostatistics,School of Public Health,Jiamusi University,Jiamusi 154007,Heilongjiang Province,China;Department of Nephrology,People's Hospital of Qianwei County,Leshan 614400,Sichuan Province,China)
出处
《药物流行病学杂志》
2025年第8期855-866,共12页
Chinese Journal of Pharmacoepidemiology
基金
龙江科技英才春雁支持计划(CYQN24035)
黑龙江省自然科学基金项目(PL2024H018)
黑龙江省本科高校优秀青年教师基础研究支持计划(YQJH2024238)
黑龙江省教育厅创新团队项目(2024-KYYWF-0620)
佳木斯大学东极学术团队(DJXSTD202412)。
关键词
醛类物质
尿酸
高尿酸血症
贝叶斯核机器回归
Aldehydes
Uric acid
Hyperuricemia
Bayesian kernel machine regression
