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Record W4414741387 · doi:10.1093/clinchem/hvaf086.453

B-055 Analytical Evaluation and Sigma Metrics of Next Generation Chemistry assays on the Alinity c and ARCHITECT Systems

2025· article· en· W4414741387 on OpenAlexaffabout
Annie Ren, Xiaoyan Wang, Pow Lee Cheng, Marvin Berman, Vathany Kulasingam

Bibliographic record

VenueClinical Chemistry · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsUniversity Health NetworkToronto General HospitalWilliam Osler Health System
Fundersnot available
KeywordsLinearityNISTSigmaSix SigmaExternal quality assessmentCalibrationLactate dehydrogenase

Abstract

fetched live from OpenAlex

Abstract Background We evaluated the analytical performance of four newly developed clinical chemistry assays [Creatinine, Uric Acid, Lactate, Lactate Dehydrogenase (LDH)] on the Abbott Alinity c and ARCHITECT c8000 system. These clinical chemistry assays incorporate a multianalyte calibrator, which has extended stability. For the enzyme assay LDH, both the multianalyte calibrator and a factor calibration are offered. Precision, linearity, method comparison and accuracy were assessed per CLSI guidelines. Sigma metrics were determined to examine the assay variability in relation to allowable performance limits. Methods Precision was assessed by measuring two levels of quality control material (Biorad Chemistry UA) and three pooled patient samples in replicates of five, twice per day, for five days. Method comparison was performed by measuring 134 serum/plasma specimens in duplicate on the new and current Alinity c or ARCHITECT methods. Linearity was evaluated using five to six levels of commercially available linearity material, measured in triplicate. Acceptability criteria were based on the Accreditation Canada Diagnostics (ACD) recommendations. Accuracy was determined in replicates of ten using external NIST standards. For assays where an external standard was not available, calibrators were used. The imprecision and bias from the target value were used to calculate the Sigma value. Total allowable error limits were obtained from the Clinical Laboratory Improvement Amendments (CLIA) and ACD guidelines. Results The results from the precision, accuracy, linearity, and method comparison studies are summarized in the table below. All the next generation chemistry assays demonstrated = 6 Sigma performance on the ARCHITECT and Alinity c systems based on CLIA guidelines. The performance of the factor calibration for the LDH assay was equivalent (data not shown). Conclusion The four next generation clinical chemistry assays (Creatinine2, Uric Acid2, Lactate2, Lactate Dehydrogenase2) demonstrated acceptable performance for precision, accuracy, linearity, and Sigma values on the Alinity c and ARCHITECT system. There was good agreement with the on-market Alinity c and ARCHITECT clinical chemistry assays.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.336
Teacher spread0.247 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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