The Role of Blood Biomarkers in Predicting Heart Disease Risk
Author Information
Author(s): Muacevic Alexander, Adler John R, Garady Lavanya, Soota Ashok, Shouche Yogesh, Chandrachari Komal Prasad, K V Srikanth, Shankar Prasan, Sharma Sanketh V, C Kavyashree, Munnyal Shrutika, Gopi Ahalya, Devyani Azad
Primary Institution: Scientific Knowledge for Ageing and Neurological Ailments (SKAN) Research Trust, Bengaluru, IND
Hypothesis
This review aims to identify biomarkers that can help predict cardiovascular disease (CVD) risk in the healthy population.
Conclusion
Biomarkers such as atherogenic lipoproteins, fibrinogen, homocysteine, and TSH are associated with increased CVD risk, and combining these with conventional markers can enhance risk prediction.
Supporting Evidence
- Biomarkers can help detect cardiovascular disease at an early stage.
- High levels of certain biomarkers are linked to increased cardiovascular risk.
- Combining biomarkers can improve the accuracy of cardiovascular risk predictions.
- Traditional risk assessment models may not fully reflect current health patterns.
Takeaway
Doctors are looking for special blood markers that can help tell if someone is at risk for heart problems, so they can help people stay healthy.
Methodology
An in-depth literature review was conducted using keywords related to cardiovascular disease and biomarkers on PubMed and Google Scholar.
Limitations
Articles in other languages may have been excluded, potentially leading to bias.
Digital Object Identifier (DOI)
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