A-003 Multisite Assessment of Commercial Quality Control Imprecision (testing from 2022 through to 2025) below the Limit of Quantification for a High-Sensitivity Cardiac Troponin I Assay
Notice bibliographique
Résumé
Abstract Background The development of high-sensitivity cardiac troponin (hs-cTn) assays has enabled precise measurements below the 99th percentile upper reference limit, allowing serial measurements to detect subtle elevations of cTn at low concentrations. Therefore, analytical performance of the hs-cTn assay and the definition of “change” in cTn concentration in serial measurements are important factors for patient classification when using accelerated diagnostic pathways for patients with chest pain in the emergency setting. For the Abbott ARCHITECT hs-cTnI assay, the European Society of Cardiology (ESC) 0h/1h rapid ‘rule-out’ algorithm defines < 4 ng/L (limit of quantification (LoQ); 3.5 ng/L for Abbott ARCHITECT hs-cTnI assay in the United States) to rule-out at presentation and a delta of < 2 ng/L for values slightly exceeding the < 4 ng/L cutoff on serial measurements; emphasizing the need for robust analytical performance at these low concentrations. Unfortunately, in the United States, laboratories are not able to measure concentrations below the LoQ preventing assessment of analytical performance. In Canada, we can measure the Abbott ARCHITECT hs-cTnI assay at concentrations below the LoQ and accordingly we sought to assess imprecision using commercial quality control material below the LoQ ( < 4 ng/L) across seven different hospital sites. Methods The Thermo Scientific MAS Omni-CARDIO™ QC Ultra Low material (package insert value < 10 ng/L for the Abbott ARCHITECT hs-cTnI assay) was tested daily on seven different Abbott ARCHITECT analyzers (i1000 and i2000), generating 8685 measurements from 2022-2025 from different hospital sites: Hamilton General Hospital (i1000), St. Joseph’s Healthcare Hamilton (i1000), Milton District Hospital (i1000), Juravinski Hospital and Cancer Center (i2000), Georgetown Hospital (i1000), Oakville Trafalgar Memorial Hospital (i2000), and West Lincoln Memorial Hospital (i1000). Analytical performance at this level was evaluated against a standard deviation (SD) =1 ng/L as a precision goal, based on the recently published allowable performance limit (APL) of ±3 ng/L below 10 ng/L for hs-cTn assays (Clin Chem. 2025 Feb 3;71(2):332-334) Results The overall average concentration of the QC material was 3.1 ng/L with a SD of 0.9 ng/L, meeting the precision goal of SD =1 ng/L. Only 0.9% of QC results fell outside the APL (i.e. < 0.1 and > 6.1 ng/L), further supporting the validity of the proposed APL. Next, we further evaluated the impact of analytical performance at this level on the ESC ‘rule-out’ algorithm (i.e. < 4 ng/L for the initial hs-cTnI concentration). Assuming each QC result corresponds to an initial hs-cTnI test result (in whole number), 73.8% of all QC measurements would be < 4 ng/L. Conclusion This is the first study to evaluate daily QC performance below the LoQ of a hs-cTn assay. Daily QC measurements (mean = 3.1 ng/L for the Abbott ARCHITECT hs-cTnI assay) can be achieved with acceptable analytical precision (SD =1 ng/L) in small and large community and academic hospital settings. Despite robust analytical performance, nearly a quarter of results exceed 4 ng/L, potentially contributing to patient misclassification using a single low hs-cTnI cutoff as per the ESC pathway.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».