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A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction.
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.
Afiliación
  • Kaier TE; King's College London BHF Centre, The Rayne Institute, St Thomas' Hospital, London, UK.
  • Twerenbold R; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Lopez-Ayala P; GREAT Network.
  • Nestelberger T; University Center of Cardiovascular Science and Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.
  • Boeddinghaus J; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Alaour B; GREAT Network.
  • Huber IM; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Zhi Y; GREAT Network.
  • Koechlin L; Division of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
  • Wussler D; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Wildi K; GREAT Network.
  • Shrestha S; King's College London BHF Centre, The Rayne Institute, St Thomas' Hospital, London, UK.
  • Strebel I; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Miro O; GREAT Network.
  • Martín-Sánchez JF; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Christ M; GREAT Network.
  • Kawecki D; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Keller DI; GREAT Network.
  • Rubini Gimenez M; Department of Cardiac Surgery, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Marber M; Department of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
  • Mueller C; GREAT Network.
Eur Heart J Acute Cardiovasc Care ; 11(4): 325-335, 2022 Jun 07.
Article en En | MEDLINE | ID: mdl-35149868
AIMS: 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. METHODS AND RESULTS: 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). CONCLUSION: 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. TRIAL REGISTRATION: ClinicalTrials.gov number, NCT00470587.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infarto del Miocardio sin Elevación del ST / Infarto del Miocardio Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Eur Heart J Acute Cardiovasc Care Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infarto del Miocardio sin Elevación del ST / Infarto del Miocardio Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Eur Heart J Acute Cardiovasc Care Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido