Literature DB >> 21616953

Complementary role of copeptin and high-sensitivity troponin in predicting outcome in patients with stable chronic heart failure.

Ioannis Tentzeris1, Rudolf Jarai, Serdar Farhan, Thomas Perkmann, Michael A Schwarz, Gabriele Jakl, Johann Wojta, Kurt Huber.   

Abstract

AIMS: Copeptin, the C-terminal part of the vasopressin pro-hormone, is elevated after myocardial infarction and predicts adverse outcome. In the present study we investigated whether the complementary role of copeptin and cardiac troponin T (cTnT) could be used for identification of high-risk patients with chronic stable heart failure. METHODS AND
RESULTS: We measured copeptin and high-sensitivity cTnT (hs-cTnT) levels in 172 consecutive patients with stable chronic heart failure. Patients were followed for all-cause mortality and hospitalization due to heart failure for a median of 1301 days (interquartile range: 707-1636). In univariate analysis, plasma copeptin showed a moderate but significant correlation with hs-cTnT (r= 0.40 P< 0.001), age (r= 0.36 P< 0.001), creatinine (r= 0.52 P< 0.001), and amino-terminal pro-B type natriuretic peptide (NT-proBNP; r= 0.42 P< 0.001). Both copeptin (P= 0.002) and hs-cTnT (P= 0.005) concentrations were significantly increased in patients with higher New York Heart Association classes. While 109 (58%) patients had hs-cTnT concentrations above normal (>14 pg/mL) 104 patients (55%) had copeptin concentrations above normal (16.4 pmol/L). In survival analysis, both elevated copeptin and hs-cTnT concentrations were significant predictors of outcome (P< 0.001 for both). The combination of both markers showed a graded and highly significant association with impaired clinical outcome, which was independent of plasma NT-proBNP levels (adjusted hazard ratios 1.40, 95% CI, 1.20-1.70; P< 0.001). Adding copeptin concentrations to a prediction model with NT-proBNP and hs-cTnT resulted in significant improvement in model performance (net reclassification improvement 0.208; P< 0.05).
CONCLUSION: Our data suggest that the combined use of hs-cTnT and copeptin might predict clinical outcome of patients with chronic stable heart failure.

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Year:  2011        PMID: 21616953     DOI: 10.1093/eurjhf/hfr049

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  24 in total

Review 1.  Biomarkers in heart failure: the past, current and future.

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Journal:  Heart Fail Rev       Date:  2019-11       Impact factor: 4.214

Review 2.  High-sensitivity assays for troponin in patients with cardiac disease.

Authors:  Dirk Westermann; Johannes Tobias Neumann; Nils Arne Sörensen; Stefan Blankenberg
Journal:  Nat Rev Cardiol       Date:  2017-04-06       Impact factor: 32.419

Review 3.  Redefining biomarkers in heart failure.

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Review 4.  Clinical adoption of prognostic biomarkers: the case for heart failure.

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Review 5.  Biomarkers in acute coronary artery disease.

Authors:  Matthias K Freynhofer; Miloš Tajsić; Johann Wojta; Kurt Huber
Journal:  Wien Med Wochenschr       Date:  2012-11-10

Review 6.  Troponin in Cardiovascular Disease Prevention: Updates and Future Direction.

Authors:  Jason Hoff; William Wehner; Vijay Nambi
Journal:  Curr Atheroscler Rep       Date:  2016-03       Impact factor: 5.113

Review 7.  Novel biomarkers in chronic heart failure.

Authors:  Tariq Ahmad; Mona Fiuzat; G Michael Felker; Christopher O'Connor
Journal:  Nat Rev Cardiol       Date:  2012-03-27       Impact factor: 32.419

8.  Design and Implementation of a Prospective Adult Congenital Heart Disease Biobank.

Authors:  Alexander R Opotowsky; Brittani Loukas; Christina Ellervik; Lilamarie E Moko; Michael N Singh; Elizabeth I Landzberg; Eric B Rimm; Michael J Landzberg
Journal:  World J Pediatr Congenit Heart Surg       Date:  2016-11

Review 9.  Cardiac Biomarkers in Advanced Heart Failure: How Can They Impact Our Pre-transplant or Pre-LVAD Decision-making.

Authors:  Imo Ebong; Sula Mazimba; Khadijah Breathett
Journal:  Curr Heart Fail Rep       Date:  2019-12

10.  Low serum copeptin levels in patients with obstructive sleep apnea.

Authors:  Serkan Ozben; Tolga Sinan Guvenc; Nergiz Huseyinoglu; Hilal Safak Sanivar; Ferhat Hanikoglu; Aysegul Cort; Tomris Ozben
Journal:  Sleep Breath       Date:  2013-02-14       Impact factor: 2.816

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