MétaCan
Menu
Back to cohort
Record W3016140568 · doi:10.1093/jalm/jfaa030

Commercial Quality Control Imprecision Estimates for High-Sensitivity Cardiac Troponin Deltas Used to Rule-in Myocardial Infarction with the ESC 0/1-Hour Algorithm

2020· letter· en· W3016140568 on OpenAlexaff
Peter A. Kavsak, Lorna Clark

Bibliographic record

VenueThe Journal of Applied Laboratory Medicine · 2020
Typeletter
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsHamilton Health SciencesMcMaster UniversityJuravinski Hospital
FundersOrtho Clinical Diagnostics
KeywordsMyocardial infarctionSensitivity (control systems)CardiologyInternal medicineTroponinAlgorithmMedicineComputer scienceEngineeringElectronic engineering

Abstract

fetched live from OpenAlex

For high-sensitivity cardiac troponin (hs-cTn) assays a laboratory recommendation is to measure 3 levels of quality control (QC) materials with one concentration being between the limit of detection and the lowest sex-specific 99th-percentile concentration, another material with a concentration higher but close to the highest sex-specific 99th percentile concentration, with the third material having a concentration several-fold higher than the 99th-percentile concentration (1,). This joint recommendation from the AACC Academy and an IFCC task force further implores “that QC manufacturers produce materials that meet these recommendations for all cTn assays. Until they are available, laboratories should obtain QC materials that comply as closely as possible to the recommended concentrations.” (1,) However, for sites whose clinicians utilize the European Society of Cardiology (ESC) 0/1-hour algorithm, their respective clinical laboratories may find it challenging to obtain the most appropriate QC materials, as the stated hs-cTn cutoffs and their respective deltas are assay-dependent in the 0/1-hour algorithm (2, 3,). For example, focusing on the rule-in arm of the algorithm, the Abbott ARCHITECT hs-cTnI assay requires a 0 h hs-cTnI concentration ≥52 ng/L or a delta ≥6 ng/L over 1 hour whereas the most recent publication of this algorithm assessing the Ortho VITROS hs-cTnI assay requires a 0 h hs-cTnI concentration ≥40 ng/L or a delta ≥4 ng/L over 1 hour (2, 3,). Previous estimates on imprecision and total analytic error for hs-cTn assays have been derived from patient pool QC material and patient testing (1, 4). Accordingly, it is not known whether commercial QC will provide different precision estimates as compared to patient pool QC material for the assessment and laboratory monitoring of the ESC 0/1-hour algorithm. To this end, the Juravinski Hospital has been using patient pool QC materials that were prepared by obtaining an infectious free EDTA plasma pool with high cardiac troponin concentrations and spiking this material into leftover citrate phosphate dextrose plasma obtained from transfusion medicine to obtain 2 target concentrations. On material with a target concentration near 5 ng/L (normal) and the other material with a target concentration near 34 ng/L (male 99th percentile) for monitoring the Abbott ARCHITECT hs-cTnI assay from November 25, 2014 until October 8, 2019. From September 18, 2019 through to October 8, 2019, both the patient pool QC material (male 99th percentile QC n = 28) and the MAS OMNI CARDIO Control from Thermo Fisher (Lot no. OCRD2201LA; commercial control, n = 22) were tested with the imprecision being 2-fold higher than the commercial control compared to the patient pool QC over this time period (patient pool QC CV = 3.2% vs commercial control CV = 7.0%) (Table 1). From October 8 to October 24, 2019 when the commercial QC was used to monitor the Abbott ARCHITECT hs-cTnI assay, the imprecision estimates did not improve (CV = 7.5%). During this crossover period between QC materials, the commercial QC exhibited higher imprecision with drifts up to 2-SDs that would exceed 6 ng/L. Consequently, the increased variation of the commercial QC might necessitate the laboratory to set tighter quality control limits and interventions if clinicians or hospitals used the ESC 0/1-hour algorithm for patient management. Quality control material testing with different high-sensitivity cardiac troponin I assays and on different analyzers (Commercial QC is MAS OMNI CARDIO Control from Thermo Fisher Lot no. OCRD2201LA). Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (10.08.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 1 (10.14.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 2 (10.14.19 to 10.24.19) Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (10.08.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 1 (10.14.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 2 (10.14.19 to 10.24.19) Quality control material testing with different high-sensitivity cardiac troponin I assays and on different analyzers (Commercial QC is MAS OMNI CARDIO Control from Thermo Fisher Lot no. OCRD2201LA). Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (10.08.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 1 (10.14.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 2 (10.14.19 to 10.24.19) Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (09.18.19 to 10.08.19) Abbott hs-cTnI assay ARCHITECTi2000 (10.08.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 1 (10.14.19 to 10.24.19) Ortho hs-cTnI assay VITROS 7600 Analyzer 2 (10.14.19 to 10.24.19) To investigate whether this greater variation with a commercial QC material would be evident on a different hs-cTnI assay, the same commercial QC was also measured during this time frame on 2 VITROS 7600 analyzers (n = 20, with 2 measurements over 10 days between October 14 and October 24, 2019). On analyzer 1 (mean = 29.1 ng/L), the CV was 13.7%, and on analyzer 2 (mean = 28.1 ng/L), the CV was 9.3% (Table 1). With a delta of 4 ng/L stated in the ESC 0/1-hour algorithm for the Ortho hs-cTnI assay, the imprecision as demonstrated by the commercial QC may limit the ability of sites to utilize the ESC 0/1-hour algorithm. As more sophisticated approaches for ruling in and out myocardial infarction using different deltas are being proposed (5); the need for demonstrating and achieving appropriate precision for hs-cTn assays for use of these algorithms is important. Objective evidence produced by the clinical laboratory demonstrating the required precision is essential, and in this regard laboratory professionals may need to also consider the QC material itself as a source of variation if the imprecision estimates of the hs-cTn assay exceed those of algorithms used for early decision-making in the emergency setting. Author Contributions: All authors confirmed they have contributed to the intellectual content of this paper and have met the following 4 requirements: (a) significant contributions to the conception and design, acquisition of data, or analysis and interpretation of data; (b) drafting or revising the article for intellectual content; (c) final approval of the published article; and (d) agreement to be accountable for all aspects of the article thus ensuring that questions related to the accuracy or integrity of any part of the article are appropriately investigated and resolved. Authors’ Disclosures or Potential Conflicts of Interest: Upon manuscript submission, all authors completed the author disclosure form. Disclosures and/or potential conflicts of interest: Employment or Leadership: None declared. Consultant or Advisory Role: P.A. Kavsak, Beckman, Roche, Siemens. Stock Ownership: None declared. Honoraria: P.A. Kavsak, Beckman, Roche, Siemens. Research Funding: P.A. Kavsak, Ortho Clinical Diagnostics. Expert Testimony: None declared. Patents: P.A. Kavsak, McMaster University has filed patents with Dr. Kavsak listed as an inventor in the acute cardiovascular biomarker field.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.205
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.049
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.205
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.324
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2020
Admission routes1
Has abstractno

Explore more

Same venueThe Journal of Applied Laboratory MedicineSame topicAcute Myocardial Infarction ResearchFrench-language works237,207