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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
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.
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.
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.
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