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

María Asunción Esteve-Pastor1, Vanessa Roldán2, José Miguel Rivera-Caravaca1

  • 1Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), CIBERCV, University of Murcia, Murcia, Spain.

Thrombosis and Haemostasis
|September 10, 2019
PubMed

Insights

Biomarkers aid cardiovascular disease (CVD) management by aiding diagnosis, prognosis, and risk stratification. However, their clinical utility requires balancing practicality with potential delays and nonspecificity for effective patient care.

Area of Science:

  • Biomedical science
  • Clinical diagnostics
  • Cardiovascular medicine

Background:

  • Biomarkers offer insights into cardiovascular disease (CVD) pathophysiology and integrated management.
  • They serve critical roles in diagnosis, therapy monitoring, prognosis assessment, and risk stratification in cardiovascular (CV) care.
  • Recent guideline recommendations highlight the increasing relevance of biomarkers in CVD management.

Purpose of the Study:

  • To review clinical guideline recommendations for various biomarkers in cardiovascular disease.
  • To evaluate the practical utility of biomarkers in daily clinical practice.
  • To discuss the balance between biomarker simplicity, practicality, and clinical decision-making.

Main Methods:

  • Literature review of clinical guidelines and studies on biomarker utility in CVD.
  • Analysis of biomarker roles in diagnosis, prognosis, risk stratification, and therapy monitoring.
  • Discussion of practical considerations, including specificity, real-world applicability, and assay variability.

Main Results:

  • Biomarkers can enhance clinical risk stratification but may cause treatment delays.
  • Many biomarkers are nonspecific, better suited for ruling out conditions than ruling them in.
  • Biomarker derivation in select cohorts may not reflect real-world dynamic risk profiles.

Conclusions:

  • A balance is essential between biomarker simplicity and practicality for clinical decision-making in CVD.
  • The nonspecific nature and potential for delayed results necessitate careful interpretation of biomarker data.
  • Considerations regarding biomarker variability, cost, and real-world applicability are crucial for effective clinical integration.

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