Two-Hour Algorithm for Rapid Triage of Suspected Acute Myocardial Infarction Using a High-Sensitivity Cardiac Troponin I Assay.


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
11 2019
Historique:
received: 06 04 2019
accepted: 07 08 2019
pubmed: 2 10 2019
medline: 27 5 2020
entrez: 2 10 2019
Statut: ppublish

Résumé

We aimed to derive and externally validate a 0/2-h algorithm using the high-sensitivity cardiac troponin I (hs-cTnI)-Access assay. We enrolled patients presenting to the emergency department with symptoms suggestive of acute myocardial infarction (AMI) in 2 prospective diagnostic studies using central adjudication. Two independent cardiologists adjudicated the final diagnosis, including all available medical information including cardiac imaging. hs-cTnI-Access concentrations were measured at presentation and after 2 h in a blinded fashion. AMI was the adjudicated final diagnosis in 164 of 1131 (14.5%) patients in the derivation cohort. Rule-out by the hs-cTnI-Access 0/2-h algorithm was defined as 0-h hs-cTnI-Access concentration <4 ng/L in patients with an onset of chest pain >3 h (direct rule-out) or a 0-h hs-cTnI-Access concentration <5 ng/L and an absolute change within 2 h <5 ng/L in all other patients. Derived thresholds for rule-in were a 0-h hs-cTnI-Access concentration ≥50 ng/L (direct rule-in) or an absolute change within 2 h ≥20 ng/L. In the derivation cohort, these cutoffs ruled out 55% of patients with a negative predictive value (NPV) of 99.8% (95% CI, 99.3-100) and sensitivity of 99.4% (95% CI, 96.5-99.9), and ruled in 30% of patients with a positive predictive value (PPV) of 73% (95% CI, 66.1-79). In the validation cohort, AMI was the adjudicated final diagnosis in 88 of 1280 (6.9%) patients. These cutoffs ruled out 77.9% of patients with an NPV of 99.8% (95% CI, 99.3-100) and sensitivity of 97.7% (95% CI, 92.0-99.7), and ruled in 5.8% of patients with a PPV of 77% (95% CI, 65.8-86) in the validation cohort. Safety and efficacy of the l hs-cTnI-Access 0/2-h algorithm for triage toward rule-out or rule-in of AMI are very high. APACE, NCT00470587; ADAPT, ACTRN1261100106994; IMPACT, ACTRN12611000206921.

Sections du résumé

BACKGROUND
We aimed to derive and externally validate a 0/2-h algorithm using the high-sensitivity cardiac troponin I (hs-cTnI)-Access assay.
METHODS
We enrolled patients presenting to the emergency department with symptoms suggestive of acute myocardial infarction (AMI) in 2 prospective diagnostic studies using central adjudication. Two independent cardiologists adjudicated the final diagnosis, including all available medical information including cardiac imaging. hs-cTnI-Access concentrations were measured at presentation and after 2 h in a blinded fashion.
RESULTS
AMI was the adjudicated final diagnosis in 164 of 1131 (14.5%) patients in the derivation cohort. Rule-out by the hs-cTnI-Access 0/2-h algorithm was defined as 0-h hs-cTnI-Access concentration <4 ng/L in patients with an onset of chest pain >3 h (direct rule-out) or a 0-h hs-cTnI-Access concentration <5 ng/L and an absolute change within 2 h <5 ng/L in all other patients. Derived thresholds for rule-in were a 0-h hs-cTnI-Access concentration ≥50 ng/L (direct rule-in) or an absolute change within 2 h ≥20 ng/L. In the derivation cohort, these cutoffs ruled out 55% of patients with a negative predictive value (NPV) of 99.8% (95% CI, 99.3-100) and sensitivity of 99.4% (95% CI, 96.5-99.9), and ruled in 30% of patients with a positive predictive value (PPV) of 73% (95% CI, 66.1-79). In the validation cohort, AMI was the adjudicated final diagnosis in 88 of 1280 (6.9%) patients. These cutoffs ruled out 77.9% of patients with an NPV of 99.8% (95% CI, 99.3-100) and sensitivity of 97.7% (95% CI, 92.0-99.7), and ruled in 5.8% of patients with a PPV of 77% (95% CI, 65.8-86) in the validation cohort.
CONCLUSIONS
Safety and efficacy of the l hs-cTnI-Access 0/2-h algorithm for triage toward rule-out or rule-in of AMI are very high.
TRIAL REGISTRATION
APACE, NCT00470587; ADAPT, ACTRN1261100106994; IMPACT, ACTRN12611000206921.

Identifiants

pubmed: 31570634
pii: clinchem.2019.305193
doi: 10.1373/clinchem.2019.305193
doi:

Substances chimiques

Biomarkers 0
Troponin I 0

Banques de données

ClinicalTrials.gov
['NCT00470587']
ANZCTR
['ACTRN1261100106994', 'ACTRN12611000206921']

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1437-1447

Informations de copyright

© 2019 American Association for Clinical Chemistry.

Auteurs

Thomas Nestelberger (T)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Jasper Boeddinghaus (J)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.
Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.

Jaimi Greenslade (J)

Royal Brisbane and Women's Hospital, Brisbane, Australia.
Queensland University of Technology, Brisbane, Australia.
University of Queensland, Brisbane, Australia.

William A Parsonage (WA)

Royal Brisbane and Women's Hospital, Brisbane, Australia.
Queensland University of Technology, Brisbane, Australia.
University of Queensland, Brisbane, Australia.

Martin Than (M)

Emergency Department, Christchurch Hospital, Christchurch, New Zealand.

Desiree Wussler (D)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.
Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.

Pedro Lopez-Ayala (P)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Tobias Zimmermann (T)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Mario Meier (M)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Valentina Troester (V)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Patrick Badertscher (P)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.
Division of Cardiology, University of Illinois at Chicago, Chicago, IL.

Luca Koechlin (L)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.
Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.

Karin Wildi (K)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Division of Internal Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Critical Care Research Institute, The Prince Charles Hospital, Brisbane and University of Queensland, Brisbane, Australia.

Mahnoor Anwar (M)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Michael Freese (M)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Dagmar I Keller (DI)

Emergency Department, University Hospital Zurich, Zurich, Switzerland.

Tobias Reichlin (T)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.
Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

Raphael Twerenbold (R)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
GREAT network.

Louise Cullen (L)

GREAT network.
Royal Brisbane and Women's Hospital, Brisbane, Australia.
Queensland University of Technology, Brisbane, Australia.
University of Queensland, Brisbane, Australia.

Christian Mueller (C)

Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland; christian.mueller@usb.ch.
GREAT network.

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Classifications MeSH