Literature DB >> 32549773

Thrombin generation in different commercial sodium citrate blood tubes.

Salvagno Gian Luca1, Davide Demonte1, Matteo Gelati1, Giovanni Poli1, Emmanuel J Favaloro2, Giuseppe Lippi1.   

Abstract

BACKGROUND: This study aimed to verify whether blood drawn into six different commercial coagulation tubes generated comparable results of thrombin generation.
METHODS: Blood was sequentially collected from 20 healthy subjects into different brand and draw volume 3.2% sodium citrate tubes (4.3 mL Sarstedt, 3.0 mL Greiner, 2.7 mL Becton Dickinson, 2.0 mL Kima, 1.8 mL Sarstedt and 1.0 mL Greiner). Thrombin generation was measured in plasma with the fully-automated ST Genesia analyzer using the weakest trigger (STG-BleedScreen).
RESULTS: Different values of lag time (LT), time to reach thrombin peak (TP), thrombin peak height (PH) and endogenous thrombin potential (ETP) were commonly found in different tubes. Thrombin generation was the lowest in 4.3 mL Sarstedt tubes and the highest in 1.0 mL Greiner tubes. Other tubes displayed intermediate values. In multiple comparisons, LT was significantly different in 6/15 cases (40%), whilst PH, TP and ETP were significantly different in 14/15 (93%), 13/15 (87%) and 13/15 (87%) cases. The mean percent bias of LT, PH, TP and ETP ranged between -6% and +1%, -27% and +116%, -22% and +8%, and between -18% and +65%. The intra-assay imprecision of LT, PH, TP and ETP was exceeded in 0/15 (0%), 13/15 (87%), 6/15 (40%) and 13/15 (87%) comparisons. The correlation of LT, PH, TP and ETP values in different tubes ranged between 0.718-0.971, 0.570-0.966, 0.725-0.977 and 0.101-0.904.
CONCLUSIONS: Blood collection for thrombin generation assays requires local standardization using identical tubes for brand and draw volume, and reference ranges calculated according to type of tubes. 2020 Salvagno Gian Luca, Davide Demonte, Matteo Gelati, Giovanni Poli, Emmanuel J. Favaloro, Giuseppe Lippi, published by CEON/CEES.

Entities:  

Keywords:  blood collection; blood tubes; preanalytical variability; thrombin generation

Year:  2020        PMID: 32549773      PMCID: PMC7282229          DOI: 10.2478/jomb-2019-0016

Source DB:  PubMed          Journal:  J Med Biochem        ISSN: 1452-8266            Impact factor:   3.402


  12 in total

1.  Thrombin Generation Assays (TGAs).

Authors:  Gian Luca Salvagno; Erik Berntorp
Journal:  Methods Mol Biol       Date:  2017

2.  Preanalytic variables of thrombin generation: towards a standard procedure and validation of the method.

Authors:  R Loeffen; M-C F Kleinegris; S T B G Loubele; P H M Pluijmen; D Fens; R van Oerle; H ten Cate; H M H Spronk
Journal:  J Thromb Haemost       Date:  2012-12       Impact factor: 5.824

3.  On the complexity of hemostasis and the need for harmonization of test practice.

Authors:  Emmanuel J Favaloro; Giuseppe Lippi
Journal:  Clin Chem Lab Med       Date:  2018-09-25       Impact factor: 3.694

Review 4.  Thrombin Generation Assay and Its Application in the Clinical Laboratory.

Authors:  Armando Tripodi
Journal:  Clin Chem       Date:  2016-03-08       Impact factor: 8.327

5.  Calibrated automated thrombin generation measurement in clotting plasma.

Authors:  H Coenraad Hemker; Peter Giesen; Raed Al Dieri; Véronique Regnault; Eric de Smedt; Rob Wagenvoord; Thomas Lecompte; Suzette Béguin
Journal:  Pathophysiol Haemost Thromb       Date:  2003

Review 6.  Thrombin generation testing in haemophilia comprehensive care centres.

Authors:  Y Dargaud; C Negrier
Journal:  Haemophilia       Date:  2009-08-27       Impact factor: 4.287

7.  Laboratory hemostasis: from biology to the bench.

Authors:  Giuseppe Lippi; Emmanuel J Favaloro
Journal:  Clin Chem Lab Med       Date:  2018-06-27       Impact factor: 3.694

Review 8.  Laboratory Diagnostics and Quality of Blood Collection.

Authors:  Gabriel Lima-Oliveira; Giuseppe Lippi; Gian Luca Salvagno; Geraldo Picheth; Gian Cesare Guidi
Journal:  J Med Biochem       Date:  2015-07-14       Impact factor: 3.402

9.  Effect of Blood Cell Subtypes Lysis on Routine Biochemical Tests.

Authors:  Burcu Ünlü; Tuncay Küme; Mestan Emek; Murat Örmen; Yavuz Doğan; Ali Rıza Şişman; Gül Ergör; Canan Çoker
Journal:  J Med Biochem       Date:  2018-01-01       Impact factor: 3.402

10.  Novel Opportunities for Improving the Quality of Preanalytical Phase. A Glimpse to the Future?

Authors:  Giuseppe Lippi; Janne Cadamuro
Journal:  J Med Biochem       Date:  2017-10-28       Impact factor: 3.402

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.