BACKGROUND: Diabetes is a major risk factor for acute myocardial infarction (AMI). Assessment of diabetic patients is challenging due to an often atypical presentation of symptoms. We aimed to evaluate the two novel biomarkers copeptin and high-sensitive cardiac troponin (hs-TnT) for the improvement of early diagnosis and risk-stratification in patients with diabetes and suspected AMI. METHODS: In this prospective international multicenter study we evaluated 379 patients with diabetes in a cohort of 1991 patients presenting with symptoms suggestive of AMI. The measurement of biomarkers was performed at presentation. RESULTS: Among the 379 diabetic patients, 32.7% had AMI, and in the 1621 patients without diabetes, 18.8% had AMI. The additional use of copeptin improved the diagnostic accuracy provided by conventional troponin alone (AUC 0.86 vs. 0.79, p=0.004). During a median follow-up of 814 days, 49 (13.1%) diabetic patients died. Cumulative 2-year survival rate for patients with copeptin levels below 9 pmol/l was 96.6% compared to 82.8% in patients above that level (p<0.001). The same was observed for hs-TnT with a cutoff level of 14 ng/l (97.7% vs. 82.0%, p<0.001) respective of cTnT with a cutoff level of 10 ng/l (93.5% vs. 75.6%, p<0.001). In multivariate Cox analysis, copeptin, hs-TnT and cTnT were strong and independent predictors of 24-month-mortality. Using the dual marker strategy (copeptin and troponin) identified two groups of high-risk patients where 22.5% of the group with hs-cTnT and copeptin above the cutoff and 28.6% with cTnT and copeptin above the cutoff died. CONCLUSION: In diabetic patients, copeptin only slightly improves the early diagnosis of AMI provided by hs-cTnT. However, both markers (copeptin and troponin) predict long-term mortality accurately and independently of each other.
BACKGROUND:Diabetes is a major risk factor for acute myocardial infarction (AMI). Assessment of diabeticpatients is challenging due to an often atypical presentation of symptoms. We aimed to evaluate the two novel biomarkers copeptin and high-sensitive cardiac troponin (hs-TnT) for the improvement of early diagnosis and risk-stratification in patients with diabetes and suspected AMI. METHODS: In this prospective international multicenter study we evaluated 379 patients with diabetes in a cohort of 1991 patients presenting with symptoms suggestive of AMI. The measurement of biomarkers was performed at presentation. RESULTS: Among the 379 diabeticpatients, 32.7% had AMI, and in the 1621 patients without diabetes, 18.8% had AMI. The additional use of copeptin improved the diagnostic accuracy provided by conventional troponin alone (AUC 0.86 vs. 0.79, p=0.004). During a median follow-up of 814 days, 49 (13.1%) diabeticpatients died. Cumulative 2-year survival rate for patients with copeptin levels below 9 pmol/l was 96.6% compared to 82.8% in patients above that level (p<0.001). The same was observed for hs-TnT with a cutoff level of 14 ng/l (97.7% vs. 82.0%, p<0.001) respective of cTnT with a cutoff level of 10 ng/l (93.5% vs. 75.6%, p<0.001). In multivariate Cox analysis, copeptin, hs-TnT and cTnT were strong and independent predictors of 24-month-mortality. Using the dual marker strategy (copeptin and troponin) identified two groups of high-risk patients where 22.5% of the group with hs-cTnT and copeptin above the cutoff and 28.6% with cTnT and copeptin above the cutoff died. CONCLUSION: In diabeticpatients, copeptin only slightly improves the early diagnosis of AMI provided by hs-cTnT. However, both markers (copeptin and troponin) predict long-term mortality accurately and independently of each other.
Authors: Ingar Ziad Restan; Ana Yufera Sanchez; Ole-Thomas Steiro; Pedro Lopez-Ayala; Hilde L Tjora; Jørund Langørgen; Torbjørn Omland; Jasper Boeddinghaus; Thomas Nestelberger; Luca Koechlin; Paul Collinson; Rune Bjørneklett; Kjell Vikenes; Heidi Strand; Øyvind Skadberg; Øistein R Mjelva; Alf Inge Larsen; Vernon V S Bonarjee; Christian Mueller; Kristin M Aakre Journal: Eur Heart J Acute Cardiovasc Care Date: 2022-03-16
Authors: Evangelos Giannitsis; Tania Garfias-Veitl; Anna Slagman; Julia Searle; Christian Müller; Stefan Blankenberg; Stephan von Haehling; Hugo A Katus; Christian W Hamm; Kurt Huber; Jörn O Vollert; Martin Möckel Journal: Cells Date: 2022-01-08 Impact factor: 6.600
Authors: Evangelos Giannitsis; Stefan Blankenberg; Robert H Christenson; Norbert Frey; Stephan von Haehling; Christian W Hamm; Kenji Inoue; Hugo A Katus; Chien-Chang Lee; James McCord; Martin Möckel; Jack Tan Wei Chieh; Marco Tubaro; Kai C Wollert; Kurt Huber Journal: Clin Res Cardiol Date: 2021-02-26 Impact factor: 5.460