logistic回归模型在CT基础上对于急性肺栓塞右心功能不全的临床价值研究
The clinical value of logistic regression model for acute pulmonary embolism right cardiac insufficiency on the basis of CT

廖明朗,石慧芳,林志东,黄垂志.logistic回归模型在CT基础上对于急性肺栓塞右心功能不全的临床价值研究[J].内科急危重症杂志,2016,22(2):

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英文关键词:Logistic regression model Computed tomography (CT) Acute pulmonary embolism The right cardiac insufficiency

基金项目:海南省卫生厅2013年度医学科研课题（琼卫2013资助-065号）

作者	单位	E-mail
廖明朗	海南省农垦总医院放射科海南省海南省农垦总医院呼吸内科海南省基金：海南省卫生厅年度医学科研课题琼卫资助-号	liaominglang010@126.com
石慧芳	海南省农垦总医院呼吸内科海南省基金：海南省卫生厅年度医学科研课题琼卫资助-号
林志东	海南省农垦总医院放射科海南省
黄垂志	海南省农垦总医院放射科海南省

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中文摘要:

摘要：目的：探讨logistic回归模型在CT基础上对于急性肺栓塞右心功能不全的临床价值。方法：抽取海南省农垦总医院放射科急性肺栓塞右心功能不全患者88例进行回顾性分析，根据超声心动图PASP统计结果，将患者分为RVD(+)和RVD(－)两组，分析急性肺栓塞右心功能不全的独立危险因素，比较各因素和logistic回归模型的ROC曲线下面积。结果：单因素分析结果显示，栓塞指数、RV、LV、主肺动脉干、奇静脉、CS为急性肺栓塞右心功能不全危险因素，差异有统计学意义(P<0.05)。多因素logistic回归结果显示，栓塞指数、主肺动脉干、CS为急性肺栓塞右心功能不全的独立危险因素，差异有统计学意义(P<0.05)。logistic回归模型、栓塞指数、主肺动脉干、CS参数ROC曲线下面积比较，logistic回归模型ROC曲线下面积为0.871，大于栓塞指数、主肺动脉干、CS曲线下面积，差异有统计学意义(P<0.05)。结论：logistic回归模型在CT基础上对于急性肺栓塞右心功能不全的有一定的诊断价值，值得进一步深入研究。

英文摘要:

Objective To explore the clinical value of logistic regression model for acute pulmonary embolism right cardiac insufficiency on the basis of CT. Methods Eighty-eight cases of patients in Shainan agricultural reclamation general hospital radiology department with acute pulmonary embolism right cardiac insufficiency were retrospectively analyzed. According to the results of echocardiography PASP statistics, the patients were divided into the RVD ( ) group and the RVD(－) group. Acute pulmonary embolism right independent risk factors for cardiac insufficiency was analyzed. The area under the ROC curve of the are the factors and logistic regression model parameter were compared. Results Single factor analysis results show that the plaque index, RV, LV, dry the main pulmonary artery, vein, CS were the risk factors for acute pulmonary embolism right cardiac insufficiency.The difference was statistically significant (P < 0.05). Multiariable logistic regression results show that Plaque index, the main pulmonary artery, CS were risk factors for acute pulmonary embolism right cardiac insufficiency independent.The difference was statistically significant (P < 0.05).The comparative results of the area under the ROC curve by Logistic regression model, the plaque index, the main pulmonary artery dry, CS showed that the logistic regression model area under the ROC curve was 0.871, which was greater than that the area under the curve of the main pulmonary artery embolism index, CS .The difference was statistically significant (P < 0.05). Conclusions Logistic regression model on the basis of CT for acute pulmonary embolism of right cardiac insufficiency has certain diagnostic value ,which deserves further study.