老年高尿酸血症与相关危险因素的临床分析

Application of Markov model in clinical analysis of senile hyperuricemia patients and risk factors

目的:探讨马科夫风险模型在老年高尿酸血症与相关危险因素的临床分析研究中的应用。方法:应用马科夫风险模型研究老年人高尿酸血症患者健康状况相关因素,对老年人高尿酸血症患者和健康对照组各项血糖、血脂生化指标进行检测。结果:老年人高尿酸血症组血糖(GLU)、血甘油三酯(TG)、血胆固醇(TC)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)与健康正常对照组比较差异有统计学意义(P<0.05)。结论:马科夫风险模型为老年人高尿酸血症与相关危险因素的临床研究提供新的手段与依据。

Objective. To investigate the application of Markov model in clinical analysis of senile hyperurieemia patients and related risk factors. Methods. The related factors of health status were ana- lyzed by Markov models and blood glucose, blood lipid and biochemical indexes were measured in both se- nile hyperuricemia patients and healthy senile. Results. There were significant differences in blood glu- cose, triglyceride, serum cholesterol, high density lipoprotein, low density lipoprotein between elderly hy- peruricemia group and normal control group （P^0.05）. Gonclusions. Markov model can provide new tools and evidence for analysis of risk faetors of elderly hyperurieemia.