Validation of a Blood Stability Score as an easy-to-use blood sample quality index

2016 ◽  
Vol 38 (6) ◽  
pp. 685-693 ◽  
Author(s):  
N. Robinson ◽  
A. Kirchbichler ◽  
O. Banuls ◽  
M. Mader ◽  
R. Aikin ◽  
...  
Keyword(s):  
Blood Sample ◽  
Quality Index ◽  
Sample Quality ◽  
Stability Score

Sample quality index to preselect suitable carbonate samples for alpha spectrometry U/Th dating

2013 ◽  
Vol 73 ◽  
pp. 32-43 ◽  
Author(s):  
A.J. Prado-Pérez ◽  
M.T. Crespo Vázquez ◽  
M. Jurado Vargas ◽  
A. Martín Sánchez ◽  
L. Pérez del Villar
Keyword(s):  
Quality Index ◽  
Alpha Spectrometry ◽  
Sample Quality

SNP Genotyping and ApoE Genotyping v1

2021 ◽  
Author(s):  
Huw Morris ◽  
Manuela MX Tan ◽  
Donald G Grosset ◽  
Nigel M Williams
Keyword(s):  
Parkinson’S Disease ◽  
Quality Control ◽  
Blood Sample ◽  
Dna Extraction ◽  
Study Design ◽  
Human Blood ◽  
Patient Data ◽  
Snp Genotyping ◽  
Sample Quality ◽  
Human Blood Sample

This protocol details the steps for DNA extraction from a human blood sample, quality control, and SNP and APOE genotyping. The protocol has been adapted from the PRoBaND SNP Genotyping and ApoE Genotyping Protocol. The overall protocol for PRoBaND /Tracking Parkinson’s is published: Malek, N., Swallow, D. M. A., Grosset, K. A., Lawton, M. A., Marrinan, S. L., Lehn, A. C., Bresner, C., Bajaj, N., Barker, R. A., Ben-Shlomo, Y., Burn, D. J., Foltynie, T., Hardy, J., Morris, H. R., Williams, N. M., Wood, N., & Grosset, D. G. (2015). Tracking Parkinson’s: Study Design and Baseline Patient Data. Journal of Parkinson’s Disease, 5(4), 947–959. https://doi.org/10.3233/JPD-150662

scholarly journals Research of the Influence of Air Transportation on Blood Sample Quality

2012 ◽  
Vol 23 (6) ◽  
pp. 431-442
Author(s):  
Zvonimir Majić ◽  
Irena Jukić ◽  
Tomislav Vuk ◽  
Stanislav Pavlin
Keyword(s):  
Blood Sample ◽  
Temperature Regime ◽  
Control Sample ◽  
Air Transportation ◽  
Temperature Sensitive ◽  
Temperature Profiles ◽  
Blood Samples ◽  
Sample Quality ◽  
International Regulations ◽  
Quality Shipping

In air freight industry, blood samples are classified as time and temperature sensitive biologically produced pharmaceuticals. To determine the level of influence that the handling processes and air transportation have on blood sample quality, a research has been conducted through transportation of whole blood samples on two European scheduled routes. Two shipping models were defined: the standard one without defined transportation temperature regime and the controlled one, where transportation is conducted under appropriate temperature regime. The blood samples were packed and transported respecting all relevant national and international regulations. The analysis was conducted and the results compared to control sample kept in the laboratory. Significant changes were identified on all components analyzed after crosschecking with the control sample. KEY WORDS: regulatory issues, blood sample quality, shipping model, packaging instruction, temperature profiles

scholarly journals The economic impact of poor sample quality in clinical chemistry laboratories: results from a global survey

2016 ◽  
Vol 54 (2) ◽  
pp. 230-239 ◽  
Author(s):  
Erik P Erdal ◽  
Debanjali Mitra ◽  
Victor S Khangulov ◽  
Stephen Church ◽  
Elizabeth Plokhoy
Keyword(s):  
Blood Sample ◽  
Economic Impact ◽  
Visual Inspection ◽  
Clinical Chemistry ◽  
Chemistry Laboratory ◽  
Sample Quality ◽  
Related Quality ◽  
Clinical Chemistry Laboratory ◽  
Sample Testing ◽  
Quality Issues

Background Despite advances in clinical chemistry testing, poor blood sample quality continues to impact laboratory operations and the quality of results. While previous studies have identified the preanalytical causes of lower sample quality, few studies have examined the economic impact of poor sample quality on the laboratory. Specifically, the costs associated with workarounds related to fibrin and gel contaminants remain largely unexplored. Methods A quantitative survey of clinical chemistry laboratory stakeholders across 10 international regions, including countries in North America, Europe and Oceania, was conducted to examine current blood sample testing practices, sample quality issues and practices to remediate poor sample quality. Survey data were used to estimate costs incurred by laboratories to mitigate sample quality issues. Results Responses from 164 participants were included in the analysis, which was focused on three specific issues: fibrin strands, fibrin masses and gel globules. Fibrin strands were the most commonly reported issue, with an overall incidence rate of ∼3%. Further, 65% of respondents indicated that these issues contribute to analyzer probe clogging, and the majority of laboratories had visual inspection and manual remediation practices in place to address fibrin- and gel-related quality problems (55% and 70%, respectively). Probe maintenance/replacement, visual inspection and manual remediation were estimated to carry significant costs for the laboratories surveyed. Annual cost associated with lower sample quality and remediation related to fibrin and/or gel globules for an average US laboratory was estimated to be $100,247. Conclusions Measures to improve blood sample quality present an important step towards improved laboratory operations.

Blood sample quality

Diagnosis ◽  
2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Giuseppe Lippi ◽  
Alexander von Meyer ◽  
Janne Cadamuro ◽  
Ana-Maria Simundic
Keyword(s):  
Blood Sample ◽  
Scientific Literature ◽  
Storage Conditions ◽  
Sample Volume ◽  
Current Evidence ◽  
Comprehensive Overview ◽  
Sample Quality ◽  
Laboratory Errors ◽  
Preanalytical Phase ◽  
Repeated Freezing

Abstract Several lines of evidence now confirm that the vast majority of errors in laboratory medicine occur in the extra-analytical phases of the total testing processing, especially in the preanalytical phase. Most importantly, the collection of unsuitable specimens for testing (either due to inappropriate volume or quality) is by far the most frequent source of all laboratory errors, thus calling for urgent strategies for improving blood sample quality and managing data potentially generated measuring unsuitable specimens. A comprehensive overview of scientific literature leads us to conclude that hemolyzed samples are the most frequent cause of specimen non-conformity in clinical laboratories (40–70%), followed by insufficient or inappropriate sample volume (10–20%), biological samples collected in the wrong container (5–15%) and undue clotting (5–10%). Less frequent causes of impaired sample quality include contamination by infusion fluids (i.e. most often saline or glucose solutions), cross-contamination of blood tubes additives, inappropriate sample storage conditions or repeated freezing-thawing cycles. Therefore, this article is aimed to summarize the current evidence about the most frequent types of unsuitable blood samples, along with tentative recommendations on how to prevent or manage these preanalytical non-conformities.

Homocysteine Levels Show Significant Differences among Mediterranean Dietary Quality Index Variables Compared to Folate and Vitamin B12 Status in Women

2015 ◽  
Vol 85 (3-4) ◽  
pp. 202-210 ◽  
Author(s):  
Ivona Višekruna ◽  
Ivana Rumbak ◽  
Ivana Rumora Samarin ◽  
Irena Keser ◽  
Jasmina Ranilović
Keyword(s):  
Mediterranean Diet ◽  
Diet Quality ◽  
Quality Index ◽  
Fruits And Vegetables ◽  
Reproductive Age ◽  
Dietary Quality ◽  
Vitamin B ◽  
Cross Sectional ◽  
Poor Diet ◽  
The Mediterranean

Abstract. Results of epidemiologic studies and clinical trials have shown that subjects following the Mediterranean diet had lower inflammatory markers such as homocysteine (Hcy). Therefore, the aim of this cross-sectional study was to assess female diet quality with the Mediterranean diet quality index (MDQI) and to determine the correlation between MDQI, homocysteine, folate and vitamin B12 levels in the blood. The study participants were 237 apparently healthy women (96 of reproductive age and 141 postmenopausal) between 25 and 93 years. For each participant, 24-hour dietary recalls for 3 days were collected, MDQI was calculated, and plasma Hcy, serum and erythrocyte folate and vitamin B12 levels were analysed. Total MDQI ranged from 8 to 10 points, which represented a medium-poor diet for the subjects. The strength of correlation using biomarkers, regardless of group type, age, gender and other measured parameters, was ranked from best (0.11) to worst (0.52) for olive oil, fish, fruits and vegetables, grains, and meat, in this order. Hcy levels showed the best response among all markers across all groups and food types. Our study shows significant differences between variables of the MDQI and Hcy levels compared to levels of folate and vitamin B12 in participants with medium-poor diet quality, as evaluated according to MDQI scores.

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