Literature DB >> 14995988

International multicenter international sensitivity index (ISI) calibration of a new human tissue factor thromboplastin reagent derived from cultured human cells.

W P M Houdijk1, A M H P Van Den Besselaar.   

Abstract

The international sensitivity index (ISI) of the first working standard of Simplastin HTF, a new human tissue factor thromboplastin derived from cultured human cells, has been assessed in a calibration exercise in two Canadian and five European laboratories. Calibrations against international reference preparations (IRP) were performed for the manual method and six types of automated coagulometers that cover the majority of clotting endpoint principles in routine use. The ISI was method-dependent and varied between 1.03 and 1.29 when calibrated against rTF/95 (human IRP). The ISI was also dependent on the route of calibration. Compared with calibration against rTF/95, the ISIs obtained by calibration against RBT/90 (rabbit IRP) were on average 4.4% higher (P < 0.005). Considering the principle of 'like vs. like', the ISIs obtained by calibration against rTF/95 should be preferred.

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Year:  2004        PMID: 14995988     DOI: 10.1111/j.1538-7836.2004.00434.x

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  4 in total

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Authors:  Sylvie Delhalle; Sebastian F N Bode; Rudi Balling; Markus Ollert; Feng Q He
Journal:  NPJ Syst Biol Appl       Date:  2018-02-06

2.  Shear Mode Bulk Acoustic Resonator Based on Inclined c-Axis AlN Film for Monitoring of Human Hemostatic Parameters.

Authors:  Shuren Song; Da Chen; Hongfei Wang; Chaohui Li; Wei Wang; Wangli Yu; Yanyan Wang; Qiuquan Guo
Journal:  Micromachines (Basel)       Date:  2018-09-30       Impact factor: 2.891

3.  Paving the way for establishing a reference measurement system for standardization of plasma prothrombin time: Harmonizing the manual tilt tube method.

Authors:  Antonius M H P van den Besselaar; Claudia J J van Rijn; Charmane F Abdoel; Veena Chantarangkul; Erica Scalambrino; Steve Kitchen; Armando Tripodi; Anita M Woolley; Lidia Padovan; Christa M Cobbaert
Journal:  J Thromb Haemost       Date:  2020-06-25       Impact factor: 5.824

4.  Predicting the postoperative blood coagulation state of children with congenital heart disease by machine learning based on real-world data.

Authors:  Kai Guo; Xiaoyan Fu; Huimin Zhang; Mengjian Wang; Songlin Hong; Shuxuan Ma
Journal:  Transl Pediatr       Date:  2021-01
  4 in total

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