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Analysis Of Unstable Angina Pectoris Predictive Prognostic Factors

Posted on:2010-07-08Degree:MasterType:Thesis
Country:ChinaCandidate:L F WangFull Text:PDF
GTID:2144360278977373Subject:Circulation within the science
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PurposeUnstable angina (UA) is a range of chronic stable angina pectoris and acute myocardial infarction (AMI) between a state of high incidence, the condition changes fast, reversible to stable angina, but also can quickly develop into acute myocardial infarction, even sudden death. Chinese Medical Association will be divided into the initial issuance of UA or deterioration of exertional angina, resting angina, infarction angina, variant angina pectoris. Can also according to the patients symptoms, electrocardiogram (ECG) and serum troponin T, I high or low, for risk stratification to identify the recent high or low risk of death or AMI. Assessment of risk will help: 1. The choice of treatment sites; 2. The choice of treatment and coronary artery reconstruction in the treatment. Moreover, different risk groups and prognosis was significantly correlated. High-risk group of patients, the possibility of occurrence of cardiovascular events than low-risk group. Determine the risk, in fact in determining the UA patients. The purpose of this study was analyzed in patients with unstable angina pectoris 12 months of major cardiovascular events (death) and secondary composite outcome of cardiovascular events (non-fatal acute myocardial infarction, heart failure, re-hospitalization due to coronary heart disease) associated with prognostic factors .MethodsSelected case is from March 2006 to July 2006 consecutive hospitalized patients with UA and the data integrity of 195 patients were followed up for 12 months. According to ECG patients were divided into four groups, 1: ST segment depression group, 2: T-wave inversion group (T-wave changes, emerging inverted T wave or T wave inversion deepened wave inversion), 3: ECG normal group, 4 : ST-segment elevation group. View of different types of investigations the relationship between ECG and cardiovascular events. Cardiovascular pieces including major cardiovascular events (death) and secondary composite cardiovascular events (non-fatal acute myocardial infarction, heart failure, repeated ischemic attack of angina pectoris due to coronary heart disease re-hospitalization). Describe the use of the information constitutes a ratio X2 test measurement data mining, as well as multi-factor Logistic regression analysis. P <0.05 indicated that the difference was statistically significant. All statistical analysis used SPSS13.0 software.ResultsIn this study, 195 cases were collected cases of clinical material, before the end of the study, excluding individuals were lost data, lost to two people, complete data were collected from 193 patients, lost to the rate of 1.04%. Male and 122 cases, female 73 cases, with an average age of 66.41±0.726. In which there were 47 cases of cardiovascular events, cardiac death in 7 cases due to acute myocardial infarction in 10 cases, 30 cases of heart failure due to coronary heart disease was hospitalized again.This study sample of 193 cases were investigated, selected patient gender, past medical history, ECG status and diagnosis as an indicator, through the one-year telephone follow discharged patients to understand the patient's prognosis. Single-factor analysis ECG changes and the prognosis of unstable angina pectoris. Patients associated with old myocardial infarction, heart failure and prognosis of unstable angina pectoris. Multi-factor analysis of gender, ECG changes and the prognosis of unstable angina pectoris.ConclusionFor this study found that ECG ST-T changes are risk factors for prognosis of patients with UA, old myocardial infarction, heart failure is a risk factor for prognosis of patients with UA, and the prognosis of unstable angina pectoris.
Keywords/Search Tags:Prognostic, factors of unstable angina pectoris gender
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