Differences Of Induced Angina Pectoris And Risk Factors Of Phlegm And Qi Deficiency Syndrome Of

PurposeWe hope to provide targeted prevention basis for clinical staff through analyzing characteristics of predisposing factor of phlegm and blood stasissyndrome and qi deficiency and blood stasis syndrome of Stable Angina Pectoris and the differences between predisposing factor and syndromes,in orderto give appropriate clinical interventions to reduce angina,to prevent therisk of cardiovascular events,and to improve the quality of people’s lives.MethodData for this study comes from multi-center,blinded,block randomized,parallel,placebo-controlled trial for treatingQi deifcincy and blood stasis syndrome and blood and phlegm stasis syndrome of angina.And we use random sampling method.Ten three-class hospitals in the Northeast region carried out the research.Diagnostic standard, inclusion and exclusion standards were developed under the RCT.240cases for Phlegm and blood stasis syndrome and the same for QDBS syndrome were taken.Ttally we took480cases at all. We analysis the difference The difference between the gender,age,body mass index and syndromes,the various elements and incentives,and the incentives of elements layered and syndromes.Spss19.0software were used for statisticalanalysis.Measurement data were expressed as mean±standard deviation (x±S), T test; frequency count data, constitute ratio chi-square test were took to analyse the data.Result1.Totally we included480cases,240cases of phlegm and blood stasis typeand240of QDBS. Average age is61.9±2.7years old.There were207casesof age under60,273cases of age over60.At last277males and203females were took, among that262cases were normal weight,218cases were overwe ight or obese.2.There was no significant difference (P>0.05) between the age and the syndrome type,well difference between gender and syndromes were significant.We found that,male is easy to have phlegm and blood stasis syndrome,well women have QDBS (P<0.05).There was significant difference between body mass index and syndrome types.Patients who were overweight or obese were easy tohave phlegm and blood stasis syndrom (P<0.05).3.There are differences between the gender and incentives, while women due to mood swings(P<0.05).And there are differences between age and incentives, the older group (>60years) due to satiation,cold,lift or move heavy objects,indoorwalking,jogging induced angina(P<0.05).There are difference between body mass index and incentives,normal weight by jogging, climbing hills,etc.induced angina (P<0.05).4.Phlegm and blood stasis syndrom of angina caused by mood swings,outdooractivities, brisk walking a street,climb the hill for female drawn to thedifference between the incentives and syndrome type under the Gender Stratification(P<0.05),while satiation for male.Qi deficiency and blood stasis isusually caused by mood swings, outdoor activities, brisk walking a street,climb the hill induced angina for male(P<0.05).There is no significant difference between incentive and syndrome types drawn to the Age Stratification for the older group(age>60years).However,angina are caused by mood swings for group which under60years of age(P<0.05).Phlegm and blood stasis syndrom of angina caused by jogging,climbing hills,outdoor activities,mood swings drawn to the difference between the incentives and syndrome type underthe body mass index(P<0.05)QDBS with Normal-weight were caused angina by more cold,tachycardia,lift or move heavy objects and so on(P<0.05).Consequence1.The distribution of the differences between phlegm and blood stasis syndrome and QDBS syndrome of angina pectoris and predisposing factors suggest s that the impact of predisposing factors for the syndrome types of patients.Thus it prompted that to determine on the individual in the treatment andprevention programs for patients with predisposing factors with differentsensitivities.2.The different distribution of age, body mass index in different syndromes suggests the possible relevance between these factors and the syndrome types3.The different between relevant factors such as gender,age,body mass index and predisposing factors suggests the possible relevance between these factors.4.The study found differences between syndrome types and predisposing factors through analyse these factors such as age, gender, body mass index, suggesting that for the same predisposing factors, patients with different factors have a relationship between syndrome types.