摘要
目的探讨蛋白尿对脑梗死患者脑微出血的影响。方法选取2010年12月至2015年12月该院救治的200例脑梗死患者为研究对象,依据是否有脑微出血将所选患者分为试验组(脑微出血组)与对照组(无脑微出血组),对两组患者相关资料进行单因素与多因素Logistics回归分析。结果所选的200例脑梗死患者中合并脑微出血的有66例,脑微出血在脑梗死患者的发病率为33%。所有脑梗死患者有34例患者有蛋白尿,其蛋白尿的发生率为17%。单因素分析结果显示:脑梗死患者的年龄、体质量指数,高血压史、吸烟史、血清肌酐清除率、血清肌酐、肾小球滤过率、同型半胱氨酸、尿酸、尿素及蛋白尿与患者是否发生脑微出血有关。多因素分析结果显示:高年龄、有高血压史、肾小球滤过率降低及蛋白尿均是脑梗死患者发生脑微出血的独立危险因素。结论蛋白尿是脑梗死患者发生脑微出血的一个独立危险因素。
Objective To explore the influence of proteinuria on cerebral microbleeding in the patients with cerebral infarction.Methods Two hundreds casesof cerebral infarction in the hospital from December 2010 to December 2015 were selected as the research subjects and divided into the experimental group(cerebral microbleeding group)and control group(non-cerebral microbleeding group)according to whether having cerebral microbleeding.Then the related data of the two groups were performed the univariate and multivariate Logistics regression analysis.Results Among selected 200 cases of cerebral infarction,66 cases were complicated with cerebral microbleeding.The incidence rate of cerebral microbleeding in the patients with cerebral infarction was 33%.Among all patients with cerebral infarction,34 cases had proteinuria.The incidence rate of proteinuria was 17%.The univariate analysis results showed that the age,body mass number,hypertension history,smoking history,serum creatinine clearance,serum creatinine,glomerular filtration rate,hemocysteine,uric acid,urea and proteinuria in the patients with cerebral infarction were related with cerebral microbleeding occurrence.The multivariate analysis results showed that high age,hypertension history,glomerular filtration rate and pretinuria were the independent risk factors for the patient with cerebral infarction developing cerebral microbleeding.Conclusion Proteinuria is an independent risk factor of cerebral microbleeding occurrence in the patients with cerebral infarction.
出处
《检验医学与临床》
CAS
2017年第20期3056-3058,3060,共4页
Laboratory Medicine and Clinic
关键词
蛋白尿
脑梗死
脑微出血
回归分析
proteinuria
cerebral infarction
cerebral microbleeding
regression analysis