Literature DB >> 20359589

Acute coronary syndrome: emerging tools for diagnosis and risk assessment.

Benjamin M Scirica1.   

Abstract

Acute coronary syndrome encompasses a broad and heterogeneous population that challenges the clinician at each step of treatment in terms of: 1) diagnosis; 2) appropriate risk stratification; 3) therapeutic decision making; and 4) monitoring response to therapy. Although there are many established tools for diagnosis, prognosis, and clinical decision making, understanding the advantages and limitations of each tool according the clinical scenario is essential. Several emerging tools, such as novel biomarkers (e.g., high-sensitivity troponin and growth differential factor-15), ECG techniques (e.g., heart rate turbulence or T-wave alternans), and imaging modalities (computed tomography angiography and cardiac magnetic resonance) may potentially improve clinical care; however, they must be fully evaluated and validated in different scenarios and patient cohorts before they are incorporated into clinical practice. This review identifies promising new or emerging techniques, as well as established tools, and reviews their current or potential role in clinical practice. Copyright (c) 2010 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20359589     DOI: 10.1016/j.jacc.2009.09.071

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  25 in total

1.  Machine learning for risk prediction of acute coronary syndrome.

Authors:  Jacob P VanHouten; John M Starmer; Nancy M Lorenzi; David J Maron; Thomas A Lasko
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

2.  Biomarkers: hopes and challenges in the path from discovery to clinical practice.

Authors:  Nikolaos G Frangogiannis
Journal:  Transl Res       Date:  2012-02-14       Impact factor: 7.012

3.  Relationship between body mass index and prognosis of patients presenting with potential acute coronary syndromes.

Authors:  Jon Dooley; Anna Marie Chang; Rama A Salhi; Judd E Hollander
Journal:  Acad Emerg Med       Date:  2013-09       Impact factor: 3.451

4.  Prognostic Impact of Early ST-Segment Resolution and Biochemical Markers in Patients With ST-Elevation Myocardial Infarction.

Authors:  Ick-Mo Chung
Journal:  Korean Circ J       Date:  2011-07-30       Impact factor: 3.243

Review 5.  Early stroke risk and ABCD2 score performance in tissue- vs time-defined TIA: a multicenter study.

Authors:  M F Giles; G W Albers; P Amarenco; E M Arsava; A W Asimos; H Ay; D Calvet; S B Coutts; B L Cucchiara; A M Demchuk; S C Johnston; P J Kelly; A S Kim; J Labreuche; P C Lavallee; J-L Mas; A Merwick; J M Olivot; F Purroy; W D Rosamond; R Sciolla; P M Rothwell
Journal:  Neurology       Date:  2011-08-24       Impact factor: 9.910

6.  Predicting the future development of depression or PTSD after injury.

Authors:  Therese S Richmond; Josef Ruzek; Theimann Ackerson; Douglas J Wiebe; Flaura Winston; Nancy Kassam-Adams
Journal:  Gen Hosp Psychiatry       Date:  2011-06-15       Impact factor: 3.238

Review 7.  Biomarkers and cardiovascular risk assessment for primary prevention: an update.

Authors:  Lauren G Gilstrap; Thomas J Wang
Journal:  Clin Chem       Date:  2011-11-28       Impact factor: 8.327

Review 8.  T2-weighted cardiovascular magnetic resonance in acute cardiac disease.

Authors:  Ingo Eitel; Matthias G Friedrich
Journal:  J Cardiovasc Magn Reson       Date:  2011-02-18       Impact factor: 5.364

9.  2013 ACCF/AHA key data elements and definitions for measuring the clinical management and outcomes of patients with acute coronary syndromes and coronary artery disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on clinical data standards (writing committee to develop acute coronary syndromes and coronary artery disease clinical data standards).

Authors:  Christopher P Cannon; Ralph G Brindis; Bernard R Chaitman; David J Cohen; J Thomas Cross; Joseph P Drozda; Francis M Fesmire; Dan J Fintel; Gregg C Fonarow; Keith A Fox; Darryl T Gray; Robert A Harrington; Karen A Hicks; Judd E Hollander; Harlan Krumholz; Darwin R Labarthe; Janet B Long; Alice M Mascette; Connie Meyer; Eric D Peterson; Martha J Radford; Matthew T Roe; James B Richmann; Harry P Selker; David M Shahian; Richard E Shaw; Sharon Sprenger; Robert Swor; James A Underberg; Frans Van de Werf; Bonnie H Weiner; William S Weintraub
Journal:  J Am Coll Cardiol       Date:  2013-01-28       Impact factor: 24.094

10.  Diagnosis of Acute Coronary Syndrome with a Support Vector Machine.

Authors:  Göksu Bozdereli Berikol; Oktay Yildiz; I Türkay Özcan
Journal:  J Med Syst       Date:  2016-01-27       Impact factor: 4.460

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