Pilot study on harmonization of cardiac troponin I immunoassays using patients and quality control plasma samples. On behalf of the Italian Section of the European Ligand Assay Society (ELAS) and of the Study Group on Cardiovascular Biomarkers of the Società Italiana di Biochimica Clinica (SIBioC).
Clin Chim Acta
; 456: 42-48, 2016 May 01.
Article
em En
| MEDLINE
| ID: mdl-26923393
ABSTRACT
BACKGROUND:
The aim of this study is to evaluate whether it is possible to reduce the between-methods variability of troponin I (cTnI) immunoassays using mathematical algorithms calculated from the results of both patients' samples and quality control materials distributed in an external quality assessment (EQA) scheme.METHODS:
We collected 122 heparinized plasma samples of patients admitted to the emergency department with thoracic pain or supraventricular tachyarrhythmia. Moreover, we also analyzed 20 control samples distributed in an EQA and 26 plasma pools prepared from healthy subjects and patients with myocardial infarction. We evaluated 4 different methods for cTnI assay STAT Architect High Sensitive TnI (Abbott Diagnostics), ADVIA Centaur Troponin I Ultra (Siemens Healthcare Diagnostics), ST AIA-Pack cTnI Third Generation (Tosoh Bioscience), and Access AccuTnI+3 (Beckman Coulter Diagnostics).RESULTS:
Systematic differences between cTnI methods were observed. However, correlation coefficients (R from 0.976 to 0.990) between the log-transformed cTnI values measured in all 168 samples were significantly better (p=0.0037) than those obtained considering only the 122 patients' samples. cTnI values measured in EQA and pool samples were included within the 95% prediction intervals of linear regressions calculated with those of patients' samples. After the recalibration of cTnI values based on the robust principal component analysis approach the between-methods variability decreased significantly (about 40% around the cut off values).CONCLUSIONS:
Our pilot study suggests that EQA schemes for cTnI immunoassay methods, based on both quality control samples with tested commutability and robust statistical analyses, are able to evaluate between-methods variability as well as allow a reliable recalibration and harmonization of results.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
/
2_ODS3
Base de dados:
MEDLINE
Assunto principal:
Análise Química do Sangue
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Imunoensaio
/
Troponina I
/
Infarto do Miocárdio
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
País/Região como assunto:
Europa
Idioma:
En
Revista:
Clin Chim Acta
Ano de publicação:
2016
Tipo de documento:
Article