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Record W4414740834 · doi:10.1093/clinchem/hvaf086.358

A-374 i-STAT hs-TnI: High sensitivity cardiac troponin at the point of care

2025· article· en· W4414740834 on OpenAlexaff
Isabelle Thibodeau, M Gonzalez Aguirre, P. Pozzobon

Bibliographic record

VenueClinical Chemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsPoint-of-care testingMyocardial infarctionTroponinPoint of careTroponin ISensitivity (control systems)Troponin complexMyocardial infarction diagnosis

Abstract

fetched live from OpenAlex

Abstract Background The i-STAT hs-TnI cartridge, for use with the i-STAT 1 analyzer, is the first point-of-care, high-sensitivity troponin test to provide lab-quality results at the patient bedside in the United States. The i-STAT hs-TnI test provides precise and accurate cardiac troponin results between 2.9 ng/L and 1000.0 ng/L using whole blood or plasma specimens in approximately 15 minutes. It is demonstrated to be safe and effective to meet the needs of clinicians as a high sensitivity cardiac troponin test to aid in the diagnosis of myocardial infarction. Methods Analytical performance of the i-STAT hs-TnI test in the i-STAT hs-TnI cartridge with the i-STAT 1 analyzer was demonstrated through testing of multi-day precision, linearity, limit of blank (LoB), limit of detection (LoD), limit of quantitation (LoQ), precision in whole blood and plasma, high altitude performance, and evaluation of other factors affecting results (hematocrit insensitivity, potential interfering substances). Performance was also evaluated against the definition of a “high sensitivity” cardiac troponin test as recommended in the Fourth Universal Definition of Myocardial Infarction (Thygesen et al., Circulation 2018). Results Acceptance criteria were met for all analytical performance studies. In the multi-day precision study, the within-laboratory precision (excluding outliers) ranged from 3.30 %CV to 6.61 %CV for sample levels ranging from 11.59 ng/L to 786.65 ng/L. Linearity was demonstrated across the reportable range of the test. The LoB, LoD and LoQ (20 %CV) were established to be 0.78 ng/L, 1.61 ng/L and 2.90 ng/L, respectively, in whole blood, and 0.57 ng/L, 1.05 ng/L and 1.18 ng/L, respectively, in plasma. Within-site precision across both sample types was less than 0.778 ng/L for sample levels below 12.0 ng/L and less than 8.05 %CV for sample levels above 12.0 ng/L. The i-STAT hs-TnI test exhibited acceptable performance up to 10,000 ft above sea level and demonstrated insensitivity to hematocrit levels between 15 %PCV and 55 %PCV. Performance of the i-STAT hs-TnI test was demonstrated to meet the definition of a “high sensitivity” cardiac troponin test. A coefficient of variance of 10% was achieved at 6.88 ng/L and 3.70 ng/L in whole blood and plasma, respectively, which are each below the 99th percentile upper reference limits (URL’s) of 13 ng/L (female), 28 ng/L (male) and 21 ng/L (overall) established in a Reference Range clinical study. Furthermore, greater than 50% of female and greater than 50% of male whole blood and plasma specimens from the apparently healthy (normal) population were detected above the respective LoD value. Conclusion The analytical performance studies demonstrate that the i-STAT hs-TnI cartridge with the i-STAT 1 analyzer offers precise and accurate cardiac troponin test results for safe and effective use at the point of care. The performance of i-STAT hs-TnI test was also shown to meet the definition of a “high sensitivity” cardiac troponin test. The studies were funded by Abbott Laboratories.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.008

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 head0.025
GPT teacher head0.386
Teacher spread0.361 · 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 designObservational
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 routes1
Has abstractyes

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