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Record W3215994890 · doi:10.1093/clinchem/hvab203

0/2 h-Algorithm for Rapid Triage of Suspected Myocardial Infarction Using a Novel High-Sensitivity Cardiac Troponin I Assay

2021· article· en· W3215994890 on OpenAlexaff
Karin Wildi, Jasper Boeddinghaus, Thomas Nestelberger, Pedro López‐Ayala, Ana Yufera Sanchez, Bernhard Okamura, Samyut Shrestha, J.-J Rohner, Òscar Miró, Gemma Martínez‐Nadal, Francisco Javier Martín‐Sánchez, Luca Koechlin, Raphael Twerenbold, Michael Christ, Damian Kawecki, María Rubini Giménez, Dagmar I. Keller, Christian Mueller, Desirée Wussler, Ivo Strebel, Adam Bakula, Simon Frey, Danielle M Gualandro, Tobias Zimmermann, Christian Puelacher, Jeanne du Fay de Lavallaz, Eliška Potluková, Matthias Diebold, Nicolas Geigy, Katharina Rentsch, Sandra Mitrović, Carolina Fuenzalida, Noemi Glarner, Beata Morawiec, Tobias Breidthardt, Michael Freese, Beatriz López, Sofia Calderón, Esther Rodríguez Adrada, Eva Ganovská, Jiri Parenica, Arnold von Eckardstein, Isabel Campodarve, Joaquim Gea

Bibliographic record

VenueClinical Chemistry · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsVancouver General HospitalUniversity of British Columbia
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungEuropean CommissionSingulexSiemens USAAbbott FundRocheSchweizerische HerzstiftungUniversitätsspital BaselUniversität Basel
KeywordsMyocardial infarctionTriageCardiologyMedicineInternal medicineSensitivity (control systems)TroponinAlgorithmTroponin TMedical emergencyComputer scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: We aimed to derive and validate a 0/2 h-algorithm using the new high-sensitivity cardiac troponin I (hs-cTnI)-VITROS assay (VITROS® Immunodiagnostic Products hs-Troponin I Reagent Pack, Ortho Clinical Diagnostics) for rapid rule-out/in of non-ST-segment elevation myocardial infarction (NSTEMI). METHODS: The final diagnosis was centrally adjudicated by 2 independent cardiologists according to the fourth universal definition of myocardial infarction (MI) among 1888 patients presenting to the emergency department with acute chest pain. hs-cTnI-VITROS concentrations were measured at presentation and at 2 h in a blinded fashion. The optimal assay-specific thresholds for the hs-cTnI-VITROS 0/2 h-algorithm were derived in a randomly selected 70% of the cohort and validated in the remaining 30%. RESULTS: NSTEMI was the final diagnosis in 216/1322 (16.3%) patients of the derivation cohort. Rule-out was defined as baseline hs-cTnI concentrations of <1 ng/L in patients presenting with chest pain onset >3 h or a baseline hs-cTnI concentration of <2 ng/L and an absolute change of <3 ng/L within 2 h. Thresholds for rule-in were either ≥40 ng/L at presentation or an absolute change within 2 h of ≥ 5ng/L. In the derivation cohort, these thresholds ruled-out 50.8% of patients with a negative predictive value (NPV) and sensitivity of 99.7% (95% Confidence Interval (CI), 98.8-99.9%) and 99.1% (95% CI, 96.7-99.9%), and ruled-in 17.9% with a positive predictive value (PPV) of 79.2% (95% CI, 74.3-83.5%). In the validation cohort, NSTEMI was the final diagnosis in 91/566 (16.1%) patients. The derived 0/2 h-algorithm ruled-out 46.3% of patients with a NPV and sensitivity of 100% (95% CI, 95.6-100%) and 100% (95% CI, 96.0-100%), and ruled-in 18.9% with a PPV of 73.8% (95% CI, 66.1-80.3%) in the validation cohort. CONCLUSION: hs-cTnI-VITROS concentrations at presentation combined with absolute changes within the first 2 h allowed safe rule-out and accurate rule-in of NSTEMI in two-thirds of unselected patients presenting with acute chest pain to the emergency department. TRIAL REGISTRATION: www.clinicaltrials.gov: NCT0047058.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.071
GPT teacher head0.387
Teacher spread0.316 · 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.

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".

Quick stats

Citations12
Published2021
Admission routes1
Has abstractyes

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