Literature DB >> 26483565

Prognostic value of different biomarkers for cardiovascular death in unselected older patients in the emergency department.

Philipp Bahrmann1, Michael Christ2, Benjamin Hofner3, Anke Bahrmann4, Stefan Achenbach5, Cornel Christian Sieber6, Thomas Bertsch7.   

Abstract

BACKGROUND: Risk stratification of elderly patients presenting with heart failure (HF) to an emergency department (ED) is an unmet challenge. We prospectively investigated the prognostic performance of different biomarkers in unselected older patients in the ED.
METHODS: We consecutively enrolled 302 non-surgical patients ⩾70 years presenting to the ED with a wide range of cardiovascular and non-cardiovascular comorbid conditions. N-terminal pro-B-type natriuretic peptide (NT-proBNP), mid-regional pro-adrenomedullin (MR-proADM), mid-regional pro-atrial natriuretic peptide (MR-proANP), C-terminal pro-endothelin-1 (CT-proET-1), ultrasensitive C-terminal pro-arginine-vasopressin (Copeptin-us) and high-sensitivity cardiac troponin T (hs-cTnT) were measured at admission. Two cardiologists independently adjudicated the final diagnosis of HF after reviewing all available baseline data using circulating NT-proBNP levels. A final diagnosis of HF was found in 120 (40%) of the 302 patients. All patients were followed up for cardiovascular death within the following 12 months. In order to test the prognostic performance of the investigated biomarkers we used boosting models with age and sex as mandatory covariates. Boosting is a statistical learning technique with built-in variable selection developed to obtain sparse and interpretable prediction models.
RESULTS: Follow-up was 100% complete. During a median follow-up time of 225 days (interquartile range (IQR) 156-319 days), 30 (9.9%) of 302 patients (aged 81±6 years) had cardiovascular deaths. Of these 30 patients, 21 had HF and nine had no HF diagnosed prior to admission. The boosting model selected MR-proADM and hs-cTNT as predictors of cardiovascular deaths. The median values of MR-proADM and hs-cTnT at presentation were significantly higher in patients with cardiovascular deaths compared to surviving patients during follow-up (2.56 nmol/L (IQR 1.62-4.48) vs. 1.11 nmol/L (IQR 0.83-1.80), P<0.001 and 81 ng/L (IQR 38-340) vs. 17 ng/L (IQR 0.9-38), P=0.004). One unit increase in the log-transformed MR-proADM levels was associated with a 1.99-fold risk of death (95% confidence interval (CI) 1.61-2.45, P<0.001). The second marker, hs-cTnT, showed an increased predicted risk but was not significantly correlated to event-free survival (hazard ratio 3.22, 95% CI 0.97-10.68, P=0.056).
CONCLUSION: Within different biomarkers, MR-proADM was the only predictor of cardiovascular deaths in unselected older patients presenting to the ED. © The European Society of Cardiology 2015.

Entities:  

Keywords:  Heart failure; adrenomedullin; aged; copeptin; endothelin; natriuretic peptides; prognosis

Mesh:

Substances:

Year:  2015        PMID: 26483565     DOI: 10.1177/2048872615612455

Source DB:  PubMed          Journal:  Eur Heart J Acute Cardiovasc Care        ISSN: 2048-8726


  9 in total

1.  Prognostic value of plasma MR-proADM vs NT-proBNP for heart failure in people with type 2 diabetes: the SURDIAGENE prospective study.

Authors:  Mathilde Fraty; Gilberto Velho; Elise Gand; Fréderic Fumeron; Stéphanie Ragot; Philippe Sosner; Kamel Mohammedi; Barnabas Gellen; Pierre-Jean Saulnier; Jean-Michel Halimi; David Montaigne; Grégory Ducrocq; Michaela Rehman; Michel Marre; Ronan Roussel; Samy Hadjadj
Journal:  Diabetologia       Date:  2018-09-19       Impact factor: 10.122

Review 2.  Redefining biomarkers in heart failure.

Authors:  Michele Correale; Ilenia Monaco; Natale Daniele Brunetti; Matteo Di Biase; Marco Metra; Savina Nodari; Javed Butler; Mihi Gheorghiade
Journal:  Heart Fail Rev       Date:  2018-03       Impact factor: 4.214

3.  Accuracy of Point-of-Care B-Line Lung Ultrasound in Comparison to NT-ProBNP for Screening Acute Heart Failure.

Authors:  E Glöckner; M Christ; F Geier; P Otte; U Thiem; S Neubauer; V Kohfeldt; K Singler
Journal:  Ultrasound Int Open       Date:  2016-07-26

Review 4.  An Update on Statistical Boosting in Biomedicine.

Authors:  Andreas Mayr; Benjamin Hofner; Elisabeth Waldmann; Tobias Hepp; Sebastian Meyer; Olaf Gefeller
Journal:  Comput Math Methods Med       Date:  2017-08-02       Impact factor: 2.238

Review 5.  Novel biomarkers for cardiovascular risk prediction.

Authors:  Juan Wang; Guo-Juan Tan; Li-Na Han; Yong-Yi Bai; Miao He; Hong-Bin Liu
Journal:  J Geriatr Cardiol       Date:  2017-02       Impact factor: 3.327

6.  Metabolic modulation predicts heart failure tests performance.

Authors:  Daniel Contaifer; Leo F Buckley; George Wohlford; Naren G Kumar; Joshua M Morriss; Asanga D Ranasinghe; Salvatore Carbone; Justin M Canada; Cory Trankle; Antonio Abbate; Benjamin W Van Tassell; Dayanjan S Wijesinghe
Journal:  PLoS One       Date:  2019-06-20       Impact factor: 3.240

7.  Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study.

Authors:  Noortje Zelis; Robin Hundscheid; Jacqueline Buijs; Peter W De Leeuw; Maarten Tm Raijmakers; Sander Mj van Kuijk; Patricia M Stassen
Journal:  BMJ Open       Date:  2021-01-31       Impact factor: 2.692

Review 8.  Biomarkers in Cardiorenal Syndromes.

Authors:  Shihui Fu; Shaopan Zhao; Ping Ye; Leiming Luo
Journal:  Biomed Res Int       Date:  2018-03-05       Impact factor: 3.411

9.  Lung Ultrasound Eight-Point Method in Diagnosing Acute Heart Failure in Emergency Patients with Acute Dyspnea: Diagnostic Accuracy and 72 h Monitoring.

Authors:  Erika Glöckner; Felicitas Wening; Michael Christ; Alexander Dechêne; Katrin Singler
Journal:  Medicina (Kaunas)       Date:  2020-07-28       Impact factor: 2.430

  9 in total

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