Analysis On Early Diagnosis Grading Model Of Acute Aortic Dissection

Objective To investigate the features of the clinical manifestation, laboratory data and imageology information in acute Aortic Dissection(AD) patients, to find the early, right and easy grading model of diagnosising AD.Method Analyzed the clinical manifestation, laboratory data and imageology information of 182 AD patients, who were our patients at Emergency Department from Mar 2006 to Oct 2009, and meanwhile, compared them with 184 chest and back ache patients, Chi-square and t-test were adopted to filter out some statistical indexes between the two groups, logistic regress analysis and clinical practical analysis were adopted to search the early diagnosis grading model of AD.Results We got risk factors (valuable) in logistic regression equation. The most significant index of diagnosis AD in order: blood pressure and/or pulse asymmetry, D-dimers, chest and/or mediastinum aorta widened, typical of pain, increased blood pressure. If 5 score was the standard of the grading system to early diagnose AD on the basis of logistic regression equation and clincal practice, the sensitivity of AD forecast is 96.7%, specificity is 81.0%.Conclusions The grading model of AD was established using logistic regression analysis and clinical practical analysis. We can improve the emergency diagnose level of AD through establishing the early grading model which contains the stabbing and severe pain, distinct rise of the blood pressure, asymmetry of the blood pressure and/or the pulse, wide arteriae aorta and/or mediastinum on chest x-ray, obvious rise of D-dimmer, then gain a diagnosis of AD which is more economical, quick, simple, convenient, noninvasive and higher sensitivity.