检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]北京市海淀医院,北京100080 [2]宁夏医科大学附属医院
出 处:《山东医药》2011年第26期8-10,共3页Shandong Medical Journal
基 金:宁夏回族自治区医疗卫生科研计划项目(2009034)
摘 要:目的研究影响重型颅脑损伤(TBI)患者预后的相关因素,建立简便、可靠、临床操作性强的TBI患者预后模型,提高重型颅脑损伤的治疗水平。方法回顾性分析236例重型TBI患者的临床资料。将脑疝、CT环池形态、患者年龄、GCS及手术方式作为观察指标,采用χ2检验及多因素Logistic回归分析。患者出院时进行预后分组,采用GCS分级标准,Ⅰ~Ⅱ级患者视为预后不良,Ⅲ~Ⅴ级患者视为预后良好。结果 236例重型TBI患者预后不良129例(54.66%),其中死亡81例(34.32%);预后良好107例(45.34%)。影响患者预后的因素依次为脑疝、CT环池形态、患者年龄、GCS。最优预后模型方程为In(P/1-P)=1.232×脑疝+1.176×环池形态+1.154×年龄-1.064×GCS+0.012。结论建立了重型TBI患者预后模型。脑疝、CT环池形态、患者年龄、GCS对重型TBI患者的预后有显著影响,尤其是存在脑疝及环池严重受压者预后不良几率增高。Objective To establish simple,reliable,clinical prognostic model of traumatic brain injury(TBI) and improve the treatment.Methods The hernia,CT central pool morphology,patient age,GCS and surgical methods were analyzed by using of χ2 test and multivariate Logistic regression analysis in retrospective analysis of 236 cases of severe TBI patients with clinical data.According GCS,the cases of Ⅰ~Ⅱ grade were divided into poor prognosis one,Ⅲ~Ⅴ grade into good prognosis one.Results In 236 cases of severe TBI patients,There were 129 cases(54.66%) of poor prognosis,81 cases(34.32%)died;107 cases(45.34%) of good prognosis.Prognostic factors were brain herniation,CT central pool morphology,patient age,GCS.The best prognostic model equation was In(P/1-P)=1.232×hernia ring cell morphology+1.176×age+1.154×-1.064×GCS+0.012.Conclusions A prognostic model for severe TBI is succesfully established.Herniation,CT central pool morphology,patient age and GCS are significantly factors effect on the prognosis of patients with severe TBI,especially if there is herniation and severe compression central pool,the risk of poor prognosis is increased.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222