Literature DB >> 29569024

Soluble Fibrin Monomer Complex and Prediction of Cardiovascular Events in Atrial Fibrillation: The Observational Murcia Atrial Fibrillation Project.

José Miguel Rivera-Caravaca1, Vanessa Roldán2, Marta Romera3, María Asunción Esteve-Pastor4, Mariano Valdés4, Gregory Y H Lip5,6, Vicente Vicente1, Francisco Marín4.   

Abstract

BACKGROUND: Soluble fibrin monomer complex (SFMC) is a biomarker of fibrin formation abnormally elevated in clinical situations of hypercoagulability.
OBJECTIVE: We investigated the association and predictive performance of SFMC for stroke, adverse cardiovascular events, cardiovascular mortality and all-cause mortality in a cohort of patients with atrial fibrillation (AF) receiving vitamin K antagonist (VKA) anticoagulant therapy.
DESIGN: During the second semester of 2007, we included 1226 AF outpatients stable on VKAs (INR 2.0-3.0) over a period of 6 months. SFMC levels were assessed at baseline. During 6.5 (IQR 4.4-8.0) years of follow-up, we recorded all ischemic strokes, adverse cardiovascular events (composite of stroke, acute heart failure, acute coronary syndrome and cardiovascular death), cardiovascular deaths and all-cause deaths. PARTICIPANTS: All patients were recruited consecutively. We excluded patients with rheumatic mitral valves, prosthetic heart valves, acute coronary syndrome, stroke, hemodynamic instability, hospital admissions or surgical interventions within the preceding 6 months. MAIN MEASURES: SFMC levels were measured in plasma by immunoturbidimetry in an automated coagulometer (STALiatestFM, Diagnostica Stago, Asnieres, France). KEY
RESULTS: We recorded 121 (1.52%/year) ischemic strokes, 257 (3.23%/year) cardiovascular events, 67 (0.84%/year) cardiovascular deaths and 486 (6.10%/year) all-cause deaths. SFMC >12 μg/mL was not associated with stroke but was associated with higher risk of cardiovascular events (HR 1.72, 95% CI 1.31-2.26), cardiovascular mortality (HR 2.16, 95% CI 1.30-3.57) and all-cause mortality (HR 1.26, 95% CI 1.03-1.55). When SFMC >12 μg/mL was added to the CHA2DS2-VASc, there were significant improvements in predictive performance, sensitivity and reclassification for adverse cardiovascular events (c-index: 0.645 vs. 0.660, p = 0.010; IDI = 0.013, p < 0.001; NRI = 0.121, p < 0.001) and cardiovascular mortality (c-index: 0.661 vs. 0.691, p = 0.006; IDI = 0.009, p = 0.049; NRI = 0.217, p < 0.001), but decision curves demonstrated a similar net benefit and clinical usefulness.
CONCLUSIONS: In AF patients taking VKAs, high SFMC levels were associated with the risk of adverse cardiovascular events, cardiovascular mortality and all-cause mortality. The addition of SFMC to the CHA2DS2-VASc score improved its predictive performance for these outcomes, but failed to show an improvement in clinical usefulness.

Entities:  

Keywords:  anticoagulants; atrial fibrillation; biomarkers; mortality; soluble fibrin monomer complex; thrombosis

Mesh:

Substances:

Year:  2018        PMID: 29569024      PMCID: PMC5975135          DOI: 10.1007/s11606-017-4279-4

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  35 in total

1.  Detection of a hypercoagulable state in nonvalvular atrial fibrillation and the effect of anticoagulant therapy.

Authors:  R Mitusch; H J Siemens; M Garbe; T Wagner; A Sheikhzadeh; K W Diederich
Journal:  Thromb Haemost       Date:  1996-02       Impact factor: 5.249

2.  The risk of myocardial infarction in patients with atrial fibrillation: an unresolved issue.

Authors:  Licia Polimeni; Ludovica Perri; Mirella Saliola; Stefania Basili; Francesco Violi
Journal:  Intern Emerg Med       Date:  2010-03-03       Impact factor: 3.397

3.  The relationship of soluble fibrin and cross-linked fibrin degradation products to the clinical course of myocardial infarction.

Authors:  L V Lee; G A Ewald; C R McKenzie; P R Eisenberg
Journal:  Arterioscler Thromb Vasc Biol       Date:  1997-04       Impact factor: 8.311

4.  Nonvalvular atrial fibrillation: evidence for a prothrombotic state.

Authors:  S R Kahn; S Solymoss; K M Flegel
Journal:  CMAJ       Date:  1997-09-15       Impact factor: 8.262

5.  "Unreal world" or "real world" data in oral anticoagulant treatment of atrial fibrillation.

Authors:  Ben Freedman; Gregory Y H Lip
Journal:  Thromb Haemost       Date:  2016-09-01       Impact factor: 5.249

6.  Decision curve analysis: a novel method for evaluating prediction models.

Authors:  Andrew J Vickers; Elena B Elkin
Journal:  Med Decis Making       Date:  2006 Nov-Dec       Impact factor: 2.583

7.  N-terminal pro-B-type natriuretic peptide for risk assessment in patients with atrial fibrillation: insights from the ARISTOTLE Trial (Apixaban for the Prevention of Stroke in Subjects With Atrial Fibrillation).

Authors:  Ziad Hijazi; Lars Wallentin; Agneta Siegbahn; Ulrika Andersson; Christina Christersson; Justin Ezekowitz; Bernard J Gersh; Michael Hanna; Stefan Hohnloser; John Horowitz; Kurt Huber; Elaine M Hylek; Renato D Lopes; John J V McMurray; Christopher B Granger
Journal:  J Am Coll Cardiol       Date:  2013-04-03       Impact factor: 24.094

8.  Cardiovascular Biomarker Score and Clinical Outcomes in Patients With Atrial Fibrillation: A Subanalysis of the ENGAGE AF-TIMI 48 Randomized Clinical Trial.

Authors:  Christian T Ruff; Robert P Giugliano; Eugene Braunwald; Sabina A Murphy; Karen Brown; Petr Jarolim; Michele Mercuri; Elliott M Antman; David A Morrow
Journal:  JAMA Cardiol       Date:  2016-12-01       Impact factor: 14.676

9.  Does von Willebrand factor improve the predictive ability of current risk stratification scores in patients with atrial fibrillation?

Authors:  Amaya García-Fernández; Vanessa Roldán; José Miguel Rivera-Caravaca; Diana Hernández-Romero; Mariano Valdés; Vicente Vicente; Gregory Y H Lip; Francisco Marín
Journal:  Sci Rep       Date:  2017-01-30       Impact factor: 4.379

10.  Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers.

Authors:  Andrew J Vickers; Angel M Cronin; Elena B Elkin; Mithat Gonen
Journal:  BMC Med Inform Decis Mak       Date:  2008-11-26       Impact factor: 2.796

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  5 in total

1.  Capsule Commentary on Rivera-Caravaca et al., Soluble Fibrin Monomer Complex and Prediction of Cardiovascular Events in Atrial Fibrillation: The Observational Murcia Atrial Fibrillation Project.

Authors:  Bethany T Samuelson Bannow
Journal:  J Gen Intern Med       Date:  2018-06       Impact factor: 5.128

2.  Soluble fibrin monomer complex is associated with cardio- and cerebrovascular events in patients with heart failure.

Authors:  Akiomi Yoshihisa; Yu Sato; Yusuke Kimishima; Yasuhiro Ichijo; Tetsuro Yokokawa; Tomofumi Misaka; Takamasa Sato; Masayoshi Oikawa; Atsushi Kobayashi; Kazuhiko Nakazato; Yasuchika Takeishi
Journal:  Int J Cardiol Heart Vasc       Date:  2020-12-24

3.  FM Combined With NIHSS Score Contributes to Early AIS Diagnosis and Differential Diagnosis of Cardiogenic and Non-Cardiogenic AIS.

Authors:  Dan Wu; Yong'e Liu
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

Review 4.  Stroke and Bleeding Risk Assessments in Patients With Atrial Fibrillation: Concepts and Controversies.

Authors:  Wern Yew Ding; Stephanie Harrison; Dhiraj Gupta; Gregory Y H Lip; Deirdre A Lane
Journal:  Front Med (Lausanne)       Date:  2020-02-21

5.  Assessment of Coagulation and Hemostasis Biomarkers in a Subset of Patients With Chronic Cardiovascular Disease.

Authors:  Maureen J Miller; Cheryl L Maier; Alexander Duncan; Jeannette Guarner
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

  5 in total

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