Klinik Biyokimya Laboratuvar
Klinik Biyokimya Laboratuvar
Bal C.,Klinik Biyokimya Laboratuvar |
Serdar M.A.,Gulhane Askeri Tp Akademisi |
Gungor O.T.,Klinik Biyokimya Laboratuvar |
Celik H.T.,Klinik Biyokimya Laboratuvar |
And 4 more authors.
Turkish Journal of Biochemistry | Year: 2014
Objective: The aim of this study is the calculation of measurement uncertainty values of ten different iochemical parameters by using internal and external quality control datas with three different, but same model and trademark device and the comparison of these values with Fraser’s and CLIA’s total allowable error % (TEa%) values. Methods: In the calculation of measurement uncertainty, six step “uncertainty calculation model”, that is defined in Nordest guide which is based on European Accreditation Guideline/12 /, European Technical Report: 1/3/and ISO/DTS 21748 Guideline/8/was used. Results: TEa% values of blood urea nitrogen for Device A, potassium values for Device B and albumin, creatinine, sodium and total protein values for Device C were found to be higher when compared to TEa% values of Fraser. TEa% of blood urea nitrogen, which has been calculated for Device A, B and C was found to be higher when compared to TEa% values of CLIA. TEa% values which has been calculated for glucose, AST, cholesterol and triglyceride in each three device was not found to be higher than TEa% values of CLIA and Fraser. Conclusion: Laboratories should establish the model for calculation of uncertainity measurement and evaluation criterias and take the analytical difference between devices under control. Also they should give the results which are not exceeding the targeted TEa% values and should inform the clinicians about it. © TurkJBiochem.com.
Erer B.,Umraniye Egitim ve Arastirma Hastanesi |
Yazici S.,Duzce University |
Yilmaz G.,Klinik Biyokimya Laboratuvar |
Yilmaz F.M.,Klinik Biyokimya Laboratuvar |
And 2 more authors.
Turkiye Fiziksel Tip ve Rehabilitasyon Dergisi | Year: 2010
Objective: In this study, we aimed to evaluate sialic acid (SA) levels and oxidative stress parameters by measuring nitric oxide metabolites (NOx), thiobarbituric acid-reactive substances (TBARS) and thiol (S) in rheumatoid arthritis (RA) patients treated with either conventional or anti-tumor necrosis factor-α (anti-TNF-α) therapy. Materials and Methods: Eighty-six RA patients and 20 healthy controls were enrolled in the study. All RA patients fulfilled the American College of Rheumatology (ACR) criteria for RA. Thirty patients were on anti-TNF-α therapy. The rest of the patients were either treated with two or three disease-modifying anti-rheumatic drugs. Health Assessment Questionnaire (HAQ) score and the Disease Activity Score 28 (DAS28) were calculated in all patients. NOx, TBARS, SA, and SH levels were measured in both patients and controls. Results: The SA levels were statistically higher in RA patients than in controls. We found increased levels of TBARS and NOx and decreased levels of SH in both groups, but these results were statistically insignificant. Spearman correlation analysis revealed positive correlation between serum TBARS levels and both NOx (r=0.322, p=0.001) and SA (r=0.242, p=0.017) levels. Conclusion: Our results confirm the role of SA in the pathogenesis of RA and its correlation with oxidative stress. Further studies on larger numbers of subjects and with longer treatment durations are needed to analyze the long-term effects of RA therapies on serum oxidative stress parameters. © Turkish Journal of Physical Medicine and Rehabilitation, Published by Galenos Publishing.
PubMed | Klinik Biyokimya Laboratuvar
Type: Journal Article | Journal: The Malaysian journal of pathology | Year: 2016
The aim of this study was to compare the performance of Agilent 1100 HPLC analyser using HbA1c kits manufactured by Gordion Diagnostic (Turkey) with that of Premier Hb9210 using the original kits for the measurement of HbA1c in different patient groups.Subjects were divided into four groups: Group 1 included 140 diabetic and non-diabetic subjects with normal urea and haemoglobin levels; Group 2 included 84 diabetic and non-diabetic subjects with high urea levels; Group 3 included 44 diabetic and non-diabetic subjects with iron deficiency anaemia; and Group 4 included 52 diabetic and non-diabetic subjects with high haemoglobin levels. EP Evaluator Release 8 program was used to evaluate the resultant data.According to the comparison results of the two methods in all groups, there was an excellent correlation between the two methods (R>0.98). Moderate-low correlation was found between increased urea concentration and the difference of the two methods (R= -0.374, p = 0.0005). The difference between the methods was found to be increased with increased urea concentrations. This difference, although statistically significant, was within the permitted limits. The observed correlation between the difference of the two methods and the low and high haemoglobin concentrations was statistically non-significant (R = 0.149, p = 0.3343; R = 0.263, p = 0.0594).We found that Agilent 1100 HbA1c analyser and Gordions HbA1c kit comply with the clinical requirements and are suitable for HbA1c analysis at high levels of urea and Hb and low levels of Hb in diabetic and non-diabetic patients.