| Objective: To investigate the characteristics and related factors of arteriosclerosis in chronic kidney disease(CKD).Methods: From May 2022 to October 2022,600 patients with chronic kidney disease admitted to the Department of Nephrology of the First Affiliated Hospital of Xinjiang Medical University were collected as research subjects.Data can be represented in two ways: quantitative analysis using mean ± standard deviation or interquartile spacing,and qualitative analysis using component ratios(frequency and percentage).Through independent sample t-test and rank sum test,it is possible to compare the average values of normal and non normal distribution data( ±s)can be used to represent,while the analysis of variance can be used to compare the mean values between multiple groups of quantitative data.adopt χ~2 Tests and rank sum tests can be used to compare the differences between two groups of qualitative data rates and hierarchical data,while one-way ANOVA and Kruskal-Wallis tests can be used to test the correlation between multiple groups,while Pearson and Spearman tests can be used to test the correlation between the two groups.The independent risk factors of quantitative data were analyzed using multiple linear regression;Through binary logistic regression analysis,we can more accurately evaluate the interaction between dynamic arteriosclerosis index and patients with chronic kidney disease,and when P≤0.05,this difference has significant statistical significance,thereby better understanding the impact of dynamic arteriosclerosis index on patients with chronic kidney disease and its possible harm.Results: 1.Independent sample T test showed that AASI was related to age,hypertension history,hyperlipidemia,diabetes history,and smoking history(P<0.05),but not to drug use history,with no statistically significant difference(P>0.05).2.Pearson test was used to test the correlation of quantitative data.The results showed that AASI was correlated with age(r=0.273,P<0.001),24-hour proteinuria(r=0.076,P=0.039),hemoglobin(r=0.201,P=0.011),and blood uric acid(r=0.089,P=0.034),with statistical significance.There was no correlation with triglycerides,low density lipoprotein,high density lipoprotein,BMI,total cholesterol,etc.(P>0.05).Pearson or Spearman correlation coefficient analysis showed that 24-hour mean diastolic blood pressure(r=0.067,P=0.043),daytime mean diastolic blood pressure(r=0.079,P=0.012),nighttime mean diastolic blood pressure(r=0.089,P=0.032),and dynamic arteriosclerosis index(r=0.054,P=0.019)were correlated,with statistical differences(P<0.05).3.Multivariate logistic regression analysis showed that men with smoking history,diabetes,hyperlipidemia,chronic kidney disease with late stage and high AASI score had significant statistical relationship with secondary hypertension in chronic kidney disease(P<0.05).There was no significant difference in the risk factors of hypertension associated with chronic kidney disease between drinking alcohol and taking statins(P>0.05).Conclusion:This study found that AASI can comprehensively reflect the correlation with various indicators of CKD patients,such as age,hypertension,and AASI.This study found a correlation between 24-hour diastolic blood pressure,daytime systolic blood pressure,and AASI.The ambulatory arterial stiffness index may have a certain predictive effect on blood pressure management in CKD.Age and basic diseases,such as diabetes,are the risk factors for CKD hypertension,and the prevention and management of people with basic diseases should be strengthened. |
PDF Full Text Request