Building assessment scale for diagnostic the stratifying aneurism of a thoracal aorta at the prehospital stage using data mining

Relevance of a research is defined by late diagnosis of the acute aortic dissection (AAD) and the high lethality connected to it, absence of specific clinical manifestations of AAD, the need of abbreviation of the period from appearance of the first symptoms of a disease before hospitalization in a specialized cardiac hospital. The aim of research was to analyze usage of information technologies of clinical symptomatology flow dissecting aneurysm of the ascending aorta, creation a predictive diagnostic point scale AAD at the pre-hospital stage. The research included 80 patients with verified diagnosis of acute AAD of type I and II by DeBakey (type A according to Stanford classification). The performance a retrospective analysis showed the variety of clinical manifestations, the lack of specific symptoms AAD. In a cohort of patients the infarct option of a course of a disease (57 people) was most often observed. The intensive burning, pressing chest pain was felt by 92,5% of patients, from them in 81,1% of cases localization of pain behind a breast bone is noted. Most often at the primary contact with the doctor establishes the diagnosis of acute myocardial infarction (AMI). Therefore, the comparison group was 101 patients with verified diagnosis of AMI. Comparison of a clinical symptomatology, complaints, anamnestic data, the given objective inspection, changes of the ECG taped at a pre-hospital stage at primary survey is made. With the help of statistical analysis was created diagnostic estimated scale of AAD at the pre-hospital stage among patients with acute chest pain.