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A Study of Atherosclerosis in Patients with Chronic Renal Failure with Special Reference to Carotid Artery Intima Media Thickness

OBJECTIVES: Cardiovascular disease is the leading cause of morbidity and mortality in patients with chronic renal failure (CRF). This study attempts to identify the factors responsible for atherosclerosis in CRF patients using carotid artery intima media thickness (CAIMT) as a surrogate marker of at...

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Detalles Bibliográficos
Autores principales: Paul, Jayanta, Dasgupta, Somnath, Ghosh, Mrinal Kanti, Shaw, Kishore, Roy, Keshab Sinha, Niyogi, Syamal Mitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503361/
https://www.ncbi.nlm.nih.gov/pubmed/23181176
http://dx.doi.org/10.4103/1995-705X.102147
Descripción
Sumario:OBJECTIVES: Cardiovascular disease is the leading cause of morbidity and mortality in patients with chronic renal failure (CRF). This study attempts to identify the factors responsible for atherosclerosis in CRF patients using carotid artery intima media thickness (CAIMT) as a surrogate marker of atherosclerosis. MATERIALS AND METHODS: CAIMT was measured by high-resolution B-mode ultrasonography in 100 CRF patients and 50 age- and sex-matched healthy controls. Data were analyzed by software SPSS (17(th) version) for Windows. RESULTS: CRF patients had a significantly higher CAIMT (1026.83 ± 17.19 micron, mean ± SE, P < 0.001) than age- and sex-matched healthy controls (722.46 ± 7.61 micron). There was inverse correlation between CAIMT and glomerular filtration rate (GFR) (P < 0.001) independent of traditional risk factors. There was also significant positive correlation between CAIMT and traditional risk factors of atherosclerosis. Ischemic heart disease (IHD) also showed positive correlation with CAIMT (P = 0.007) and inverse correlation with GFR (P = 0.005). CONCLUSIONS: There is high prevalence of atherosclerosis in CRF patients. CAIMT can be used to detect and predict future incidence of IHD in CRF patients.