Harmonization of two hs-cTnI methods based on recalibration of measured quality control and clinical samples.

Cardiac troponins Harmonization High-sensitivity methods Immunoassay methods Myocardial infarction Quality control samples

Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 01 07 2020
revised: 04 07 2020
accepted: 04 07 2020
pubmed: 12 7 2020
medline: 22 6 2021
entrez: 12 7 2020
Statut: ppublish

Résumé

The study aim was to evaluate whether is possible to harmonize the results of two hs-cTnI methods using a recalibration procedure based on linear regression models and measured values of external quality assessment (EQA) and clinical samples. A two-step experimental approach was used. The preliminary step was performed using 16 EQA samples. The harmonization procedure was then validated by using 2530 heparinized plasma samples collected by 12 Italian University and Regional Hospitals from apparently healthy volunteers and patients admitted to emergency department with cardiac diseases. Two hs-cTnI methods were tested: Architect Stat High Sensitive Troponin-I, and the Access hs-cTnI using DxI platform. Linear regression models based on mean values measured with the two hs-cTni methods were used. A significant reduction in the measurement bias between the two methods was found after recalibration procedure. The agreement between-methods improved of about 2.5 folds after recalibration, as assessed by reduction in mean CV values from 38.4% (SD 25.9%) before recalibration to 15.0% (SD 10.6%) after recalibration for hs-cTnI values ≤ 500 ng/L (n = 13, P = 0.0111 by non-parametric test for paired data). A recalibration procedure based on means of measured concentrations with hs-cTnI methods, which use monoclonal antibodies with similar binding characteristics, can be used to significantly reduce systematic bias and so to improve harmonization between methods. The results of this study can aid laboratorians and clinicians to better compare the concentrations respectively measured with the Architect and Access hs-cTnI methods.

Sections du résumé

BACKGROUND BACKGROUND
The study aim was to evaluate whether is possible to harmonize the results of two hs-cTnI methods using a recalibration procedure based on linear regression models and measured values of external quality assessment (EQA) and clinical samples.
METHODS METHODS
A two-step experimental approach was used. The preliminary step was performed using 16 EQA samples. The harmonization procedure was then validated by using 2530 heparinized plasma samples collected by 12 Italian University and Regional Hospitals from apparently healthy volunteers and patients admitted to emergency department with cardiac diseases. Two hs-cTnI methods were tested: Architect Stat High Sensitive Troponin-I, and the Access hs-cTnI using DxI platform. Linear regression models based on mean values measured with the two hs-cTni methods were used.
RESULTS RESULTS
A significant reduction in the measurement bias between the two methods was found after recalibration procedure. The agreement between-methods improved of about 2.5 folds after recalibration, as assessed by reduction in mean CV values from 38.4% (SD 25.9%) before recalibration to 15.0% (SD 10.6%) after recalibration for hs-cTnI values ≤ 500 ng/L (n = 13, P = 0.0111 by non-parametric test for paired data).
CONCLUSIONS CONCLUSIONS
A recalibration procedure based on means of measured concentrations with hs-cTnI methods, which use monoclonal antibodies with similar binding characteristics, can be used to significantly reduce systematic bias and so to improve harmonization between methods. The results of this study can aid laboratorians and clinicians to better compare the concentrations respectively measured with the Architect and Access hs-cTnI methods.

Identifiants

pubmed: 32652160
pii: S0009-8981(20)30325-9
doi: 10.1016/j.cca.2020.07.009
pii:
doi:

Substances chimiques

Troponin I 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

150-156

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Aldo Clerico (A)

Fondazione CNR-Regione Toscana, G. Monasterio, and Scuola Superiore Sant'Anna, Pisa, Italy. Electronic address: clerico@ftgm.it.

Martina Zaninotto (M)

Dipartimento di Medicina di Laboratorio, Azienda Ospedaliera Universitaria di Padova, and Dipartimento di Medicina, Università di Padova, Padova, Italy.

Andrea Padoan (A)

Dipartimento di Medicina di Laboratorio, Azienda Ospedaliera Universitaria di Padova, and Dipartimento di Medicina, Università di Padova, Padova, Italy.

Rudina Ndreu (R)

CNR Institute of Clinical Physiology and CNR spin-off QualiMedLab, Pisa, Italy.

Veronica Musetti (V)

Fondazione CNR-Regione Toscana, G. Monasterio, and Scuola Superiore Sant'Anna, Pisa, Italy.

Silvia Masotti (S)

Fondazione CNR-Regione Toscana, G. Monasterio, and Scuola Superiore Sant'Anna, Pisa, Italy.

Concetta Prontera (C)

Fondazione CNR-Regione Toscana, G. Monasterio, and Scuola Superiore Sant'Anna, Pisa, Italy.

Claudio Passino (C)

Fondazione CNR-Regione Toscana, G. Monasterio, and Scuola Superiore Sant'Anna, Pisa, Italy.

Gian Carlo Zucchelli (G)

CNR Institute of Clinical Physiology and CNR spin-off QualiMedLab, Pisa, Italy.

Mario Plebani (M)

Dipartimento di Medicina di Laboratorio, Azienda Ospedaliera Universitaria di Padova, and Dipartimento di Medicina, Università di Padova, Padova, Italy.

Marco Migliardi (M)

S.C. Laboratorio Analisi, A.O. Ordine Mauriziano di Torino, Torino, Italy.

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Classifications MeSH