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The Relationship Between Coronary Stenosis And Blood Pressure Variability

Posted on:2014-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:X H ZhangFull Text:PDF
GTID:2234330398993847Subject:Internal Medicine
Abstract/Summary:PDF Full Text Request
Objective: The experiment is to study the relationship of the patient’sblood pressure variability with coronary artery stenosis.Methods: We collected72patients who underwent coronary angiographyand stent implantation in Second Hospital of Hebei Medical Cardiology, fromJanuary2012to December2012.These cases included46males and26females, age57.9±9.2years. Firstly, we recorded the enrolled patients:gender, age, smoking history, blood lipids, blood glucose etc. Patientsunderwent ambulatory blood pressure monitoring before or after coronaryangiography and stenting. Then we got the blood pressure variability, that itwas also the standard deviation of the blood pressure. Secondly, according tothe coronary angiography findings and Gensini score, coronary artery stenosiswas quantified. Thirdly, According to coronary angiography,72patients weredivided into CHD group and non-CHD group for t-test and Mann-Whitney Uto determine the relationship between coronary heart disease and bloodpressure standard deviation. We drawn scatter diagram to understand thetrends of the degree of coronary artery stenosis with age,smoking, body massindex (BMI),abdominal circumference,cholesterol (CHOL),triglycerides(TG),high density lipoprotein cholesterol (HDL-C), low-density lipoproteincholesterol (LDL-C),fasting glucose (GLU) and blood pressure variability. Wealso drawn scatter diagram to understand the trends of the weight coefficientof the degree of stenosis with blood pressure variability. Fourthly,we appliedcurve fitting to analyze the relationship between the various factors andcoronary stenosis respectively. Finally,we used multiple linear regressionanalysis to analyze the relationship between the various indicators andcoronary artery stenosis in the case of multi-factor and identify risk factorsindependently associated with the severity of coronary artery stenosis. We alsoused multiple linear regression analysis to analyze the relationship between the various indicators and the weight coefficient of the degree of stenosis inthe case of multi-factor and identify risk factors independently associated withthe weight coefficient.Results:1After t test and Mann-Whitney U, we found that the difference wasstatistically significant for24-hour systolic blood pressure standard, daytimesystolic blood pressure variability between CHD group and non-CHD group(P<0.05). Coronary heart disease was associated with24-hour systolic bloodpressure variability, daytime systolic blood pressure variability. After drawingscatter diagram, we did not find the standard deviation of blood pressure andcoronary artery stenosis with a significant correlation. We also did not find thesmoking and coronary artery stenosis with a significant correlation. We did notfind the law between the weight coefficient of the degree of stenosis and bloodpressure variability. After curve fitting, We found a statistically significantrelationship between coronary artery stenosis and standard deviation ofdaytime diastolic blood pressure (P=0.031<0.05). We also found a statisticallysignificant relationship between coronary artery stenosis and smoking(P<0.05). The other indexes of blood pressure variability and coronary arterystenosis were not found significant relationship.2After stepwise regression analysis, We fund that smoking and coronaryartery stenosis were independently associated, but the proportion was only12.9%. The regression equation was statistically significant(F=10.382,P<0.01). We also found that smoking and weight coefficient of the degree ofstenosis were independently associated and fasting glucose with weightcoefficient of the degree of stenosis independently associated. The regressionequation was statistically significant(F=5.49,P<0.01).The constant term was26.754and smoking coefficient0.03in the regression equation of coronarystenosis. The constant term was2.036and smoking coefficient0.008andfasting glucose coefficient1.472in the weight coefficient of the degree ofstenosis of the regression equation. Conclusions:1Coronary artery stenosis severity was correlated with smoking.2Coronary heart disease was correlated with24-hour systolic bloodpressure variability, daytime systolic blood pressure variability.3There were relationship between the severity of coronary artery stenosisand the daytime diastolic blood pressure variability. The weight coefficient ofthe degree of stenosis had nothing to do with blood pressure variability.
Keywords/Search Tags:Gensini score, degree of coronary artery stenosis, bloodpressure variability, weight coefficient of the degree of stenosis, stepwiseregression analysis
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