Literature DB >> 31499565

The Use of Biomarkers in Clinical Management Guidelines: A Critical Appraisal.

María Asunción Esteve-Pastor1, Vanessa Roldán2, José Miguel Rivera-Caravaca1, Inmaculada Ramírez-Macías1, Gregory Y H Lip3,4, Francisco Marín1.   

Abstract

In cardiovascular disease (CVD), biomarkers (i.e., "biological markers") could have multiple roles in understanding the complexity of cardiovascular (CV) pathophysiology and to offer an integrated approach to management. Biomarkers could help in daily practice as a diagnostic tool, to monitor therapy response, to assess prognosis and as early marker of CV damage, or to stratify risk. In recent years, the role of biomarkers in CVD is even more relevant and some have recently been included in clinical management guideline recommendations. The aim of this review is to discuss the recommendations in clinical guidelines of various biomarkers and to review their usefulness in daily clinical practice. Ultimately, a balance is needed between simplicity and practicality for clinical decision-making. Most biomarkers (whether blood, urine, or imaging-based) will improve on clinical risk stratification, but awaiting biomarker results may lead to delays in the initiation of therapy, for example, anticoagulation for stroke prevention in atrial fibrillation. Many biomarkers are nonspecific, being predictive of many CV and non-CV outcomes, so would be better as "rule-out" rather than "rule-in" assessments. Derivation of some biomarkers have also been made in highly selected clinical trial cohorts, where measurement is made at baseline but outcomes determined many years later; given the dynamic nature of risk in the "real world" where patients get older and develop incident risk factors, this may give a false impression of the risk profile. Finally, some laboratory biomarkers have a diurnal variation and inter-/intravariability (and lower limits of detection) in assays, which may be expensive, are added considerations. Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2019        PMID: 31499565     DOI: 10.1055/s-0039-1696955

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  6 in total

1.  Relationship of ejection fraction and natriuretic peptide trajectories in heart failure with baseline reduced and mid-range ejection fraction.

Authors:  Kenneth C Bilchick; Patrick Stafford; Olusola Laja; Comfort Elumogo; Persey Bediako; Nora Tolbert; Douglas Sawch; Sthuthi David; Nishtha Sodhi; Anita Barber; Younghoon Kwon; Nishaki Mehta; Brandy Patterson; Khadijah Breathett; Sula Mazimba
Journal:  Am Heart J       Date:  2021-08-25       Impact factor: 4.749

Review 2.  Stroke prevention strategies in high-risk patients with atrial fibrillation.

Authors:  Agnieszka Kotalczyk; Michał Mazurek; Zbigniew Kalarus; Tatjana S Potpara; Gregory Y H Lip
Journal:  Nat Rev Cardiol       Date:  2020-10-27       Impact factor: 32.419

3.  European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population.

Authors:  Jens Cosedis Nielsen; Yenn-Jiang Lin; Marcio Jansen de Oliveira Figueiredo; Alireza Sepehri Shamloo; Alberto Alfie; Serge Boveda; Nikolaos Dagres; Dario Di Toro; Lee L Eckhardt; Kenneth Ellenbogen; Carina Hardy; Takanori Ikeda; Aparna Jaswal; Elizabeth Kaufman; Andrew Krahn; Kengo Kusano; Valentina Kutyifa; Han S Lim; Gregory Y H Lip; Santiago Nava-Townsend; Hui-Nam Pak; Gerardo Rodríguez Diez; William Sauer; Anil Saxena; Jesper Hastrup Svendsen; Diego Vanegas; Marmar Vaseghi; Arthur Wilde; T Jared Bunch; Alfred E Buxton; Gonzalo Calvimontes; Tze-Fan Chao; Lars Eckardt; Heidi Estner; Anne M Gillis; Rodrigo Isa; Josef Kautzner; Philippe Maury; Joshua D Moss; Gi-Byung Nam; Brian Olshansky; Luis Fernando Pava Molano; Mauricio Pimentel; Mukund Prabhu; Wendy S Tzou; Philipp Sommer; Janice Swampillai; Alejandro Vidal; Thomas Deneke; Gerhard Hindricks; Christophe Leclercq
Journal:  Europace       Date:  2020-08-01       Impact factor: 5.214

4.  Immunothrombosis and new-onset atrial fibrillation in the general population: the Rotterdam Study.

Authors:  Martijn J Tilly; Sven Geurts; Samantha J Donkel; M Arfan Ikram; Natasja M S de Groot; Moniek P M de Maat; Maryam Kavousi
Journal:  Clin Res Cardiol       Date:  2021-09-24       Impact factor: 5.460

5.  Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: comparing common clinical risk scores and machine learning algorithms.

Authors:  Gregory Y H Lip; George Tran; Ash Genaidy; Patricia Marroquin; Cara Estes; Jeremy Landsheft
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2022-08-17

6.  Using multimarker screening to identify biomarkers associated with cardiovascular death in patients with atrial fibrillation.

Authors:  Tymon Pol; Ziad Hijazi; Johan Lindbäck; Jonas Oldgren; John H Alexander; Stuart J Connolly; John W Eikelboom; Michael D Ezekowitz; Christopher B Granger; Renato D Lopes; Salim Yusuf; Agneta Siegbahn; Lars Wallentin
Journal:  Cardiovasc Res       Date:  2022-07-20       Impact factor: 13.081

  6 in total

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