Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4664972
Author(s) Kaier, Thomas E.; Twerenbold, Raphael; Lopez-Ayala, Pedro; Nestelberger, Thomas; Boeddinghaus, Jasper; Alaour, Bashir; Huber, Iris-Martina; Zhi, Yuan; Koechlin, Luca; Wussler, Desiree; Wildi, Karin; Shrestha, Samyut; Strebel, Ivo; Miro, Oscar; Martín-Sánchez, Javier F.; Christ, Michael; Kawecki, Damien; Keller, Dagmar I.; Rubini Gimenez, Maria; Marber, Michael; Mueller, Christian; Apace Investigators,
Author(s) at UniBasel Müller, Christian
Twerenbold, Raphael
Lopez Ayala, Pedro
Koechlin, Luca
Year 2022
Title A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction
Journal European Heart Journal – Acute CardioVascular Care
Volume 11
Number 4
Pages / Article-Number 325-335
Keywords APACE; Cardiac myosin-binding protein C; Myocardial infarction; Troponin I; Troponin T; cMyC
Mesh terms Algorithms; Biomarkers; Carrier Proteins; Early Diagnosis; Humans; Myocardial Infarction, diagnosis; Non-ST Elevated Myocardial Infarction, diagnosis; Prospective Studies; Troponin T
Abstract Cardiac myosin-binding protein C (cMyC) demonstrated high diagnostic accuracy for the early detection of non-ST-elevation myocardial infarction (NSTEMI). Its dynamic release kinetics may enable a 0/1h-decision algorithm that is even more effective than the ESC hs-cTnT/I 0/1 h rule-in/rule-out algorithm.; In a prospective international diagnostic study enrolling patients presenting with suspected NSTEMI to the emergency department, cMyC was measured at presentation and after 1 h in a blinded fashion. Modelled on the ESC hs-cTnT/I 0/1h-algorithms, we derived a 0/1h-cMyC-algorithm. Final diagnosis of NSTEMI was centrally adjudicated according to the 4th Universal Definition of Myocardial Infarction. Among 1495 patients, the prevalence of NSTEMI was 17%. The optimal derived 0/1h-algorithm ruled-out NSTEMI with cMyC 0 h concentration below 10 ng/L (irrespective of chest pain onset) or 0 h cMyC concentrations below 18 ng/L and 0/1 h increase <4 ng/L. Rule-in occurred with 0 h cMyC concentrations of at least 140 ng/L or 0/1 h increase ≥15 ng/L. In the validation cohort (n = 663), the 0/1h-cMyC-algorithm classified 347 patients (52.3%) as 'rule-out', 122 (18.4%) as 'rule-in', and 194 (29.3%) as 'observe'. Negative predictive value for NSTEMI was 99.6% [95% confidence interval (CI) 98.9-100%]; positive predictive value 71.1% (95% CI 63.1-79%). Direct comparison with the ESC hs-cTnT/I 0/1h-algorithms demonstrated comparable safety and even higher triage efficacy using the 0h-sample alone (48.1% vs. 21.2% for ESC hs-cTnT-0/1 h and 29.9% for ESC hs-cTnI-0/1 h; P < 0.001).; The cMyC 0/1h-algorithm provided excellent safety and identified a greater proportion of patients suitable for direct rule-out or rule-in based on a single measurement than the ESC 0/1h-algorithm using hs-cTnT/I.; ClinicalTrials.gov number, NCT00470587.
Publisher Oxford University Press
ISSN/ISBN 2048-8726 ; 2048-8734
edoc-URL https://edoc.unibas.ch/94307/
Full Text on edoc Available
Digital Object Identifier DOI 10.1093/ehjacc/zuac007
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/35149868
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.389 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
24/04/2024