Repository logo
Log In
  1. Home
  2. Unibas
  3. Publications
  4. Combining High-Sensitivity Cardiac Troponin I and Cardiac Troponin T in the Early Diagnosis of Acute Myocardial Infarction
 
  • Details

Combining High-Sensitivity Cardiac Troponin I and Cardiac Troponin T in the Early Diagnosis of Acute Myocardial Infarction

Date Issued
2018-01-01
Author(s)
van der Linden, Noreen
Wildi, Karin  
Twerenbold, Raphael  
Pickering, John W.
Than, Martin
Cullen, Louise
Greenslade, Jaimi
Parsonage, William
Nestelberger, Thomas  
Boeddinghaus, Jasper  
Badertscher, Patrick  
Rubini Giménez, Maria
Klinkenberg, Lieke J. J.
Bekers, Otto
Schöni, Aline
Keller, Dagmar I.
Sabti, Zaid  
Puelacher, Christian  
Cupa, Janosch
Schumacher, Lukas
Kozhuharov, Nikola  
Grimm, Karin
Shrestha, Samyut
Flores, Dayana
Freese, Michael
Stelzig, Claudia
Strebel, Ivo
Miró, Òscar
Rentsch, Katharina  
Morawiec, Beata
Kawecki, Damian
Kloos, Wanda
Lohrmann, Jens
Richards, A. Mark
Troughton, Richard
Pemberton, Christopher
Osswald, Stefan  
van Dieijen-Visser, Marja P.
Mingels, Alma M.
Reichlin, Tobias
Meex, Steven J. R.
Müller, Christian  
DOI
10.1161/circulationaha.117.032003
Abstract
Combining 2 signals of cardiomyocyte injury, cardiac troponin I (cTnI) and T (cTnT), might overcome some individual pathophysiological and analytical limitations and thereby increase diagnostic accuracy for acute myocardial infarction with a single blood draw. We aimed to evaluate the diagnostic performance of combinations of high-sensitivity (hs) cTnI and hs-cTnT for the early diagnosis of acute myocardial infarction.; The diagnostic performance of combining hs-cTnI (Architect, Abbott) and hs-cTnT (Elecsys, Roche) concentrations (sum, product, ratio, and a combination algorithm) obtained at the time of presentation was evaluated in a large multicenter diagnostic study of patients with suspected acute myocardial infarction. The optimal rule-out and rule-in thresholds were externally validated in a second large multicenter diagnostic study. The proportion of patients eligible for early rule-out was compared with the European Society of Cardiology 0/1 and 0/3 hour algorithms.; Combining hs-cTnI and hs-cTnT concentrations did not consistently increase overall diagnostic accuracy as compared with the individual isoforms. However, the combination improved the proportion of patients meeting criteria for very early rule-out. With the European Society of Cardiology 2015 guideline recommended algorithms and cut-offs, the proportion meeting rule-out criteria after the baseline blood sampling was limited (6% to 24%) and assay dependent. Application of optimized cut-off values using the sum (9 ng/L) and product (18 ng; 2; /L; 2; ) of hs-cTnI and hs-cTnT concentrations led to an increase in the proportion ruled-out after a single blood draw to 34% to 41% in the original (sum: negative predictive value [NPV] 100% [95% confidence interval (CI), 99.5% to 100%]; product: NPV 100% [95% CI, 99.5% to 100%]) and in the validation cohort (sum: NPV 99.6% [95% CI, 99.0-99.9%]; product: NPV 99.4% [95% CI, 98.8-99.8%]). The use of a combination algorithm (hs-cTnI <4 ng/L and hs-cTnT <9 ng/L) showed comparable results for rule-out (40% to 43% ruled out; NPV original cohort 99.9% [95% CI, 99.2-100%]; NPV validation cohort 99.5% [95% CI, 98.9-99.8%]) and rule-in (positive predictive value [PPV] original cohort 74.4% [95% Cl, 69.6-78.8%]; PPV validation cohort 84.0% [95% Cl, 79.7-87.6%]).; New strategies combining hs-cTnI and hs-cTnT concentrations may significantly increase the number of patients eligible for very early and safe rule-out, but do not seem helpful for the rule-in of acute myocardial infarction.; URL (APACE): https://www.clinicaltrial.gov . Unique identifier: NCT00470587. URL (ADAPT): www.anzctr.org.au . Unique identifier: ACTRN12611001069943.
File(s)
Loading...
Thumbnail Image
Name

20190729104108_5d3eb1242a412.pdf

Size

547.34 KB

Format

Adobe PDF

Checksum

(MD5):bc6ca1b26192f144dcae600bafa60501

University of Basel

edoc
Open Access Repository University of Basel

  • About edoc
  • About Open Access at the University of Basel
  • edoc Policy

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement