Dataset Information

A cross-sectional study to compare two blood collection methods: direct venous puncture and peripheral venous catheter.

ABSTRACT:

Objectives

To demonstrate the equivalence between blood collection methods using direct venous puncture (DVP) and a peripheral venous catheter or cannula (PVC).

Design and setting

A cross-sectional study of simple crossover design with within-subject measures carried out between October 2011 and May 2012 at a regional hospital in Spain.

Participants

272 patients aged 18 or older hospitalised or admitted to the short-stay unit (SSU) who required laboratory testing and PVC to administer saline solution, intravenous fluid therapy and/or intravenous medication. Excluded were those with PVC collection time exceeding 20 s, difficulty of venoclysis, or who presented with arteriovenous fistula, language difficulties, in critical condition or altered consciousness with no family to consent.

Primary and secondary outcome measures

18 variables were recorded for DVP and PVC, along with age, sex, diagnosis, vein location for DVP, location of the PVC, PVC calibre, saline syringe, intravenous fluid therapy, medication, haemolysis and clotted blood during DVP or PVC collection. Univariate analysis, Pearson's product-moment correlation coefficient (r), Lin's concordance correlation coefficient (rc) and Bland-Altman's 95% agreement interval were provided.

Results

Included in the study were 272 patients, primarily aged 65 or older (80.9%), males (52.6%) and receiving intermittent medication (43.4%). Values obtained with both methods showed a positive linear association, being moderate for pO2 (r=0.405) and very high for all others (r>0.86). Levels were concordant (rc?0.9), except for calcium (rc=0.860), pH (rc=0.853), pCO2 (rc=0.843) and pO2 (rc=0.336) and equivalent for all determinations except pCO2 and pO2, where clinically significant differences were found in more than 9% of cases (21.2%, 95% CI 16.6% to 26.5% and 73.1%, 95% CI 67.4% to 78.1%).

Conclusions

Blood collection methods using DVP and PVC can be used interchangeably for most routine laboratory tests.

SUBMITTER: Ortells-Abuye N

PROVIDER: S-EPMC3939659 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

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Publications

A cross-sectional study to compare two blood collection methods: direct venous puncture and peripheral venous catheter.

Ortells-Abuye Nativitat N Busquets-Puigdevall Teresa T Díaz-Bergara Maribel M Paguina-Marcos Marta M Sánchez-Pérez Inma I

BMJ open 20140227 2

<h4>Objectives</h4>To demonstrate the equivalence between blood collection methods using direct venous puncture (DVP) and a peripheral venous catheter or cannula (PVC).<h4>Design and setting</h4>A cross-sectional study of simple crossover design with within-subject measures carried out between October 2011 and May 2012 at a regional hospital in Spain.<h4>Participants</h4>272 patients aged 18 or older hospitalised or admitted to the short-stay unit (SSU) who required laboratory testing and PVC to ...[more]

PMID: 24578539

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Project description:Gene expression profiling using blood samples is a valuable tool for biomarker discovery in clinical studies. Different whole blood RNA collection and processing methods are highly variable and might confound comparisons of results across studies. The main aim of the current study is to compare how blood storage, extraction methodologies, and the blood components themselves may influence gene expression profiling. Whole blood and peripheral blood mononuclear cell (PBMC) samples were collected in triplicate from five healthy donors. Whole blood was collected in RNAgard® and PAXgene® Blood RNA Tubes, as well as in collection tubes with anticoagulants such as dipotassium ethylenediaminetetraacetic acid (K2EDTA) and Acid Citrate Dextrose Solution A (ACD-A). PBMCs were separated using sodium citrate Cell Preparation Tubes (CPT™), FICOLL™, magnetic separation, and the LeukoLOCK™ methods. After blood collection, the LeukoLOCK™, K2EDTA and ACD-A blood tubes were shipped overnight using cold conditions and samples from the rest of the collection were immediately frozen with or without pre-processing. The RNA was isolated from whole blood and PBMCs using a total of 10 different experimental conditions employing several widely utilized RNA isolation methods. The RNA quality was assessed by RNA Integrity Number (RIN), which showed that all PBMC procedures had the highest RIN values when blood was stabilized in TRIzol® Reagent before RNA extraction. Initial data analysis showed that human blood stored and shipped at 4°C overnight performed equally well when checked for quality using RNA integrity number when compared to frozen stabilized blood. Comparisons within and across donor/method replicates showed signal-to-noise patterns which were not captured by RIN value alone. Pathway analysis using the top 1000 false discovery rate (FDR) corrected differentially expressed genes (DEGs) showed frozen vs. cold shipping conditions greatly impacted gene expression patterns in whole blood. However, the top 1000 FDR corrected DEGs from PBMCs preserved after frozen vs. cold shipping conditions (LeukoLOCK™ preserved in RNAlater®) revealed no significantly affected pathways. Our results provide novel insight into how RNA isolation, various storage, handling, and processing methodologies can influence RNA quality and apparent gene expression using blood samples. Careful consideration is necessary to avoid bias resulting from downstream processing. Better characterization of the effects of collection method idiosyncrasies will facilitate further research in understanding the effect of gene expression variability in human sample types.

Dataset Information

A cross-sectional study to compare two blood collection methods: direct venous puncture and peripheral venous catheter.

Objectives

Design and setting

Participants

Primary and secondary outcome measures

Results

Conclusions

Publications

A cross-sectional study to compare two blood collection methods: direct venous puncture and peripheral venous catheter.

Similar Datasets

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