The Effects of Education and Training Given to Phlebotomists for Reducing Preanalytical Errors

Summary Background Nitric oxide (NO) is oxidative stress biomarker which is regarded as one of the key determinants of energy metabolism and vascular tone. Considering the controversial reports on the association between nitric oxide products (NOx) and metabolic syndrome (MetS), the aim of the current study was to examine that potential relationship. Additionally, we aimed to evaluate a broad spectrum of other oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), xanthine oxidoreductase (XOD), xanthine oxidase (XO) xanthine dehydrogenase (XDH)] in relation with MetS. Methods A total of 109 volunteers (46.8% of them with MetS) were included in this cross-sectional study. Biohemical and anthropometric parameters, as well as blood pressure, were obtained. The MetS was diagnosed according to the International Diabetes Federation criteria. Results Multivariate logistic regression analysis showed that XOD (OR=1.011; 95% CI 1.002–1.019; p=0.016), XO (OR=1.014; 95% CI 1.003–1.026; p=0.016), MDA (OR=1.113; 95% CI 1.038–1.192; p=0.003) and AOPP (OR=1.022; 95% CI 1.005–1.039; p=0.012) were the independent predictors of MetS, whereas no association between NOx and MetS was found. As XOD rose for 1 U/L, XO for 1 U/L, MDA for 1 μmol/L and AOPP for 1 T/L, probability for MetS rose for 1.1%, 1.4%, 11.3% and 2.2%, respectively. Adjusted R2 for the Model was 0.531, which means that 53.1% of variation in MetS could be explained with this Model. Conclusion Unlike XOD, MDA and AOPP, NOx is not associated with MetS.

Section: Introductionmentioning

confidence: 99%

Nitric oxide products are not associated with metabolic syndrome

Klisić¹,

Kocić²,

Kavarić³

et al. 2019

“…Contradictive instructions and unsettled recommendations can adversely affect the phlebotomists' attitudes for change. If personnel believe that following guidelines would result in improved patient outcomes and improved working conditions, they probably would be more likely to change behaviours (18).…”

Section: Discussionmentioning

confidence: 99%

The results of a close follow-up of trainees to gain a good blood collection practice

Aykal

Esen

Yeğin

et al. 2019

Summary Background Phlebotomy is one of the most important steps in the preanalytical phase of a clinical laboratory process. In order to decrease phlebotomy errors, this specific procedure should be taught in detail by laboratory organizations. Our study aims to practice the training program on venous blood sampling and observe the close follow-up results. Methods In this observational study, 127 students who started their summer internship in Antalya Education and Research Hospital were given a one-day theoretical phlebotomy training in accordance with the Venous Blood Sampling Guidelines. After the theoretical training, phlebotomy applications of 10 students who were working in the field of out-patient blood sampling were observed both with and without their knowledge. A comprehensive checklist related to phlebotomy was created by the trainers in Antalya Education and Research Hospital and the observers answered each question as yes or no. For the statistical analysis, IBM SPSS Statistics 21.0 was used. Results After the theoretical education, the trainees were observed but no significant difference was found between the first and the second informed observations (p = 0.125). The students were observed three times more in the following week without their knowledge. There was a statistically significant difference between the first and the third unannounced observations (p=0.001). Conclusions In order to perform phlebotomy correctly, apart from theoretical education, a close follow-up is necessary too.

“…The differences between the various parameters measured in the paired aliquots were then assessed with Steel-Dwass-Critchlow-Fligner test (20, 21, 22), with evaluation of Hodges-Lehmann location shift for multiple comparisons among different groups, after verification of values distribution with Shapiro-Wilk test. P-values < 0.05 were considered statistically significant.…”

Section: Methodsmentioning

confidence: 99%

A Preliminary Proposal for Quality Control Assessment and Harmonization of Leukocytes Morphology-Structural Parameters (Cell Population Data Parameters)

Seghezzi¹,

Buoro²,

Previtali³

et al. 2018

SummaryBackgroundThe cell population data (CPD) measured by Sysmex XN-9000 can be used for screening many hematological and non-hematological disorders. Since little information is available on harmonization of CPD among different instrumentation and clinical laboratories, this study aimed at assessing the current degree of CPD harmonization between separate Sysmex XN modules allocated to the same laboratory.MethodsA total number of 78291 data were used for verification of within-run imprecision, analyzers harmonization, reference ranges and assessment of blood sample stability of CPD parameters, including results of daily quality control testing and those generated in samples collected from blood donors and healthy volunteers.ResultsWithin-run imprecision of CPD parameters ranged between 0.4 and 14.1%. Good agreement was found among five different XN-modules, especially when values were adjusted after calculation of instrument-specific alignment factors. The bias of all parameters remained always lower than the reference change values in samples stored for up to 8 hours, regardless of storage temperature.ConclusionsThe imprecision of CPD parameters was acceptable, except for those reflecting the dispersion of cellular clusters. Due to the lack of reference control materials, we showed that the use of data generated on a large number of normal routine samples (i.e., a Moving Average population) may be a reliable approach for testing analyzers harmonization. Nevertheless, availability of both calibration and quality control materials for these parameters is highly advisable in the future. We finally showed that whole blood samples may be stable for up to 2–4 hours for most CPD parameters.