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- Title
Romatizmal Kapak Hastalığında Serum Eser Elementlerinin Değerlendirilmesi.
- Authors
Tusun, Eyyup; İlter, Abdulselam; Beşli, Feyzullah; Çelik, Ahmet
- Abstract
Aim The aim of this study was to investigate trace elements in patients with rheumatic valvular disease Material and Method A total of 30 consequently (15 male and age: 34.0 ±9.3 years) patients with rheumatic valvular disease and functional capacity class 1 according to NYHA (RVD) who admitted to our cardiology department were enrolled in this sturdy. 30 randomly age/sex matched subjects with no cardiovascular or systemic disease were recruited as control group. Serum levels of trace elements including selenium (Se) zinc (Zn) and iron (Fe) were measured. Results The age and sex were comparable between two groups (p>0.05). Height, weight, serum levels of Fe, Se and Zn were lower in patients with RVD compared to control group (all p values <0.05). In correlation analysis, serum Fe levels were positively correlated with age, weight, and serum Se and Zn levels (all p values <0.05). Serum Se levels were positively correlated with height, serum Fe and Zn levels, while serum Zn levels were positively correlated with height, weight, and serum Fe and Se levels (all p values <0.05). Multivariable regression analyses showed that serum Fe levels were the only independent predictor of RVD (beta value=0,500, p<0.05). Conclusion In this study, we yield that serum levels of Fe, Se and Zn were significantly lower in patients with RVD. These results may be associated with inappropriate immune response in this population. However, it is not clear whether this is a cause or a result of rheumatic heart disease. Additionally, further studies which investigating the effect of replacement of trace elements in rheumatic valvular disease are needed.
- Subjects
TURKEY; TRACE element analysis; AGE distribution; ANTHROPOMETRY; CARDIOLOGY; STATISTICAL correlation; HEART valve diseases; HOSPITAL wards; IRON; LIFE skills; RHEUMATIC heart disease; STATISTICAL sampling; SELENIUM; ZINC; MULTIPLE regression analysis; DESCRIPTIVE statistics
- Publication
Journal of Harran University Medical Faculty / Harran Üniversitesi Tıp Fakültesi Dergisi, 2016, Vol 13, Issue 1, p74
- ISSN
1304-9623
- Publication type
Article