Correlation of mitral and aortic annular calcifications with carotid intima media thickness as a marker of extensive atherosclerosis in non-diabetic chronic kidney disease patients

Document Type : Original Article

Authors

1 Internal Medicine Department, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt

2 Cardiology Department, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt

Abstract

Objective: The primary goal of the current investigation was to study the correlation of mitral and aortic annular calcifications with carotid intima media thickness as a marker of extensive atherosclerosis in non-diabetic chronic kidney disease patients. Subjects and methods: In this Prospective Case control study, 200 participants were included: 150 CKD stage 3. 4 and 5 for group 1. 2 and 3 respectively and 50 healthy participants of matched age and sex. Detailed history taking, Routine laboratory investigation and measurement of carotid intima-media thickness were done for all participants. Results: The GFR level and each of the following variables revealed a statistically significant negative relationship (p-value <0.05): age, SBP, DBP, creatinine, urea, phosphorus, PTH, LDL, TG, cholesterol, and CIMT. The calcification levels of the mitral and aortic valves showed a statistically significant negative correlation with a p-value <0.001, but a positive correlation with the CIMT level. The GFR level sensitivity and specificity test showed a cut-off value of 53.6 and a sensitivity of 83.6 percent and a specificity of 50%, respectively. Conclusion: Our research showed that there was a positive link with CIMT degree but a statistically significant negative correlation with the calcification levels of the mitral and aortic valves and GFR degree. Age, BMI, PLT, GFR, phosphorus, LDL, and cholesterol levels were shown to have statistically significant predictor effects, according to the multivariate linear regression model analysis. Patients with chronic kidney disease may benefit from routine echocardiographic follow-up as a means of risk classification.

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