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Year : 2017  |  Volume : 22  |  Issue : 1  |  Page : 47

Level of inflammatory factors in chronic hemodialysis patients with and without cardiovascular disease

1 Department of Internal Medicine, Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
2 Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran

Correspondence Address:
Mahnaz Aliakbarian
Department of Pathology, Al-Zahra University Hospital, Sofeh Avenue, P. O. Box: 8174675731, Isfahan
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jrms.JRMS_282_15

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Background: Considering the existence of controversies about the predictive value of inflammatory markers for cardiovascular disease (CVD), we aimed to compare the level of high-sensitivity C-reactive protein (hs-CRP) and interlukin-6 (IL-6) level in chronic hemodialysis (HD) patients with and without CVD. Materials and Methods: In this historical cohort study, HD patients with and without CVD disease were enrolled. The presence of CVD risk factors, level of inflammatory factors including IL-6 and hs-CRP as well as lipid levels, fasting blood sugar, and other biochemical factors were compared in two studied groups. Results: During the study, eighty HD patients with (n = 40) and without (n = 40) CVD were enrolled. Diabetes was more prevalent among HD patients with CVD than those without CVD (P < 0.05). The level of IL-6 and hs-CRP were not different in two studied groups (P > 0.05). Univariate analysis of variance test indicated that there was not any significant relationship between hs-CRP and CVD (P > 0.05). Conclusion: The findings indicated that the level of inflammatory factors including hs-CRP and IL-6 are not significantly different in HD patients with and without CVD. However, for obtaining more definite conclusion in this field and evaluation their predicting role in this field, it is recommended to study other novel inflammatory markers as well as the additive effect of the inflammatory factors with traditional ones in larger sample size and longer follow-up.

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