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脑卒中复发影响因素的Cox回归分析
引用本文:冯社军,赵现,刘运平,霍会永,刘冰,王慧娟,曹妍,崔岩,于进洪. 脑卒中复发影响因素的Cox回归分析[J]. 西部医学, 2013, 25(6): 857-859
作者姓名:冯社军  赵现  刘运平  霍会永  刘冰  王慧娟  曹妍  崔岩  于进洪
作者单位:邯郸市中心医院,河北邯郸,056001
摘    要:目的探讨脑卒中复发状况及其主要影响因素。方法以1824例脑卒中新发病例为研究对象,排除短暂性脑缺血(TIA)和蛛网膜下腔出血,随访患者的复发情况,调查影响复发的各种因素。随访时间分别为3、6个月和1年。应用Cox比例风险回归模型对影响脑卒中复发的各种因素进行单因素和多因素分析。结果 1824例新发脑卒中,受访病例1651例(90.52%),失访病例173例(9.48%)。失访者和受访者差异无统计学意义(P>0.05)。脑卒中1年复发比例为15.26%。高血压史、TIA史、脑卒中家族史、总胆固醇、低密度脂蛋白是脑卒中复发的危险因素。结论防治脑卒中复发应加强脑卒中患者的高血压、TIA、血脂水平的监测和控制。

关 键 词:脑卒中  复发  随访  Cox回归分析

Cox regression analysis on risk factors for recurrent stroke
Affiliation:FENG She-j un, ZHAO Xian, LIU Yun-ping, et al ( Handan Central Hospital, Handan 056001, Hebei, China)
Abstract:Objective To explore recurrent stroke status and its risk factors. Methods 1824 new stroke patients were selected from our hospital, excluding TIA and subarachnoid hemorrhage, as study populations. The recurrent stroke status and kinds of influencing factors were followed up. The follow-up time was 3 months, six months and 1 year. Cox proportional hazards regression models including single-factor and multiple-factor methods were carried out to analyze kinds of influencing factors of stroke. Results Of 1824 new stroke patients, 1651 accepted visit, 173 were lost to follow-up, accounting for 9.48%. Accepted ones and lost ones have no significant difference (P~0.05). one year recur- rent stroke proportion was 15.26~~. The history of hypertension, the history of hyperlipemia, the history of TIA, the family history of stroke, TC , LDL-C and depression were risk factors of recurrent stroke. Conclusions Hypertension, TIA, hyperlipemia, and blood-fat levels should be monitored and controlled.
Keywords:Stroke  Recurrent  Follow-up study  Cox regression analysis
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