Background: Cardiac troponin (cTn) is the keystone for diagnosis of acute myocardial infarction (AMI). We examined the analytical and diagnostic accuracy of the Atellica IM TnIH assay to determine high-sensitivity performance and appropriate diagnostic performance for clinical use.
Methods: Sex-specific 99th percentile upper reference limits (URLs) were determined for a healthy cohort of 1007 women and 1000 men using non-parametric statistics. High-sensitivity performance was assessed by examining if imprecision was ≤10% at sex-specific URLs and if ≥50% of cTnI values for each sex exceeded the assay's limit of detection (LoD) with the AACC Universal Sample Bank. Precision, high-dose hook effect, endogenous/exogenous interferences were examined with CLSI guidance. Clinical characterization was with 2494 suspected AMI subjects presenting to emergency departments across the United States. AMI was adjudicated by expert cardiologists and emergency medicine physicians. There were no comorbidity exclusions.
Results: 99th percentile URLs were 34 ng/L, 53 ng/L and 45 ng/L for the female, male and overall populations, respectively. Total imprecision was <5% from 12 ng/L to 16,000 ng/L; ≥55% of cTnI values for each sex exceeded the LoD. No high-dose hook or endogenous/exogenous interferences were identified. After 2.5-3.5 h post presentation the sensitivity and specificity were >90%; negative and positive predictive value were ≥98% and >60%, respectively. Non-AMI subjects with comorbidities and values exceeding 99th percentile URLs had absolute and percent change at 2-4 h that were lower than AMI patients with comorbidities (p = 0.001).
Conclusion: The Atellica IM TnIH assay is a high-sensitivity method and demonstrates clinical performance appropriate for AMI diagnosis.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.clinbiochem.2019.10.013 | DOI Listing |
Mayo Clin Proc
January 2025
Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN; Department of Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, MN; Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Windland Smith Rice Genetic Heart Rhythm Clinic, Mayo Clinic, Rochester, MN. Electronic address:
Objective: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysis of the 12-lead electrocardiogram (ECG) can distinguish patients with long QT syndrome (LQTS) from those with acquired QT prolongation.
Methods: The study cohort included all patients with genetically confirmed LQTS evaluated in the Windland Smith Rice Genetic Heart Rhythm Clinic and controls from Mayo Clinic's ECG data vault comprising more than 2.5 million patients.
PLoS One
January 2025
Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Purpose: This study investigates the agreement of children's retinal thickness classification by color category between Topcon 3D OCT-1's built-in adult reference data and our new pediatric database and assesses the correlation of retinal thickness with age and spherical equivalent (SE).
Methods: 160 eyes of 160 healthy children (74 boys, 86 girls) aged 6-18 years (mean: 11.60 ± 3.
Clin Chem Lab Med
January 2025
Coordinator of the Italian Study Group of Cardiac Biomarkers, Scuola Superiore Sant'Anna and Fondazione CNR - Regione Toscana G. Monasterio, Pisa, Italy.
Biom J
February 2025
Department of Mathematics, University of Bergen, Bergen, Norway.
Correct measurement results from in vitro diagnostic (IVD) medical devices (MD) are crucial for optimal patient care. The performance of IVD-MDs is often assessed through method comparison studies. Such studies can be compromised by the influence of various factors.
View Article and Find Full Text PDFClin Chim Acta
December 2024
Department of Clinical Chemistry, Department of Biochemistry, University of Health Sciences, Bakirköy Dr. Sadi Konuk Training and Research Hospital, İstanbul, Türkiye.
Introduction: To perform simulation studies on patient-based real-time quality control (PBRTQC) for aspartate aminotransferase (AST), iron (Fe), potassium (K), and thyrotropin (thyroid stimulating hormone, TSH) analytes, focusing on optimizing systematic error detection while minimizing data loss.
Methods: Clinical laboratory data for the four analytes were analyzed using various truncation methods. Among these methods, truncation limits corresponding to fixed percentiles (e.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!