马科夫风险模型在冠心病治疗护理研究中的应用

Application of Markov risk model in the treatment and nursing research on coroary heart disease

目的为了解医院冠心病治疗护理研究中的相关影响因素，探讨马科夫风险模型在冠心病治疗护理研究中的应用。方法把冠心病患者治疗护理预后转归状况多元相关影响因素进行评分量化，应用马科夫风险模型研究冠心病患者预后健康状况相关因素，对医院冠心病患者和健康对照组各项血糖、血脂生化指标进行检测。结果冠心病组与健康正常对照组在血糖（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）的差异均有统计学意义（P〈0．05）。冠心病治疗护理效果相关影响因素包括患者年龄、性别、疾病分类、遗传家族史、高血压、糖尿病、吸烟、饮酒、超重（肥胖）、户外运动、血脂异常、规范治疗、是否并发其他疾病等。结论马科夫风险模型在冠心病治疗护理研究中的应用为医院临床治疗心血管疾病提供新的手段与依据。

Objective To understand the hospital treatment of coronary heart disease in nursing research related factors and explore the application of Markov risk model in the treatment of coronary heart disease. Methods The multiple related factors of treatment prognosis were scored. Markov risk model was used to study treatment prognosis health state related factors. Blood glucose, blood biochemical index were detected and compared between coronary heart disease group and healthy control group. Results There were significant difference in the levels of healthy blood glucose （GLU）, serum triglyceride （TG）, serum cholesterol （TC）, high density lipoprutein （HDL）, low density lipoprotein （LDL） between coronary heart disease group and healthy control group （P 〈 0. 05 ）. The effects of treatment and nursing related factors included age, gender, dis- ease classification, genetic family history, hypertension, diabetes, smoking, alcohol consumption, weight （obesity）, outdoor sports, dyslipidemia, standard treatment and whether other diseases or not. Conclusions Markov risk model applying in the treatment of coronary heart disease can offer new means and basis for treatment of cardiovascular diseases in clinic.