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Published on: January 15, 2022
New Modifiable Risk Factors Influencing Coronary Artery Disease Severity
Kamila Florek1, Maja Kübler1, Magdalena Górka1
1Student Scientific Group of Invasive Cardiology, Institute of Heart Diseases, Wroclaw Medical University, 50-369 Wroclaw, Poland.
Insights
New indicators like inflammation and vitamin D deficiency predict coronary artery disease (CAD) complexity, measured by the SYNTAX score (SS). Understanding these factors aids in managing atherosclerosis progression and improving patient outcomes.
Area of Science:
- Cardiology
- Vascular Biology
- Biomarkers
Background:
- Coronary artery disease (CAD) is a leading cause of death globally.
- CAD severity, assessed by the SYNTAX score (SS), impacts patient prognosis and treatment decisions.
- Higher SS correlates with increased major adverse cardiovascular events (MACE).
Purpose of the Study:
- To identify novel risk factors contributing to CAD complexity and severity.
- To explore the role of inflammatory markers, microbiota, vitamin D, and obstructive sleep apnea (OSA) in CAD.
- To inform secondary prevention strategies for coronary atherosclerosis progression.
Main Methods:
- Analysis of established CAD risk factors.
- Investigation of novel indicators including inflammatory parameters (e.g., C-reactive protein), blood smear ratios, uric acid, microbiota alterations, vitamin D levels, and OSA.
- Assessment of indicator significance in different coronary syndrome types (CCSs and ACSs).
Main Results:
- Novel indicators such as inflammatory parameters, uric acid, microbiota alterations, vitamin D deficiency, and OSA significantly predict CAD severity (SS).
- Certain indicators showed significance specifically for chronic coronary syndromes (CCSs) or acute coronary syndromes (ACSs).
- Established risk factors align with coronary plaque burden but novel factors add crucial insights into CAD complexity.
Conclusions:
- Novel risk factors offer a more comprehensive approach to assessing CAD severity beyond traditional indicators.
- An interdisciplinary and translational approach is crucial for integrating these novel findings into clinical practice.
- Improved risk stratification using these novel indicators can enhance secondary prevention efforts for patients with coronary atherosclerosis.
Abstract:
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide with coronary artery disease (CAD) being the first culprit in this group. In terms of CAD, not only its presence but also its severity plays a role in the patient's treatment and prognosis. CAD complexity can be assessed with the indicator named the SYNTAX score (SS). A higher SS is associated with major adverse cardiovascular event (MACE) occurrence in short- and long-term observations. Hence, the risk factors affecting CAD severity based on SS results may help lower the risk among patients with already developed CAD to reduce their impact on coronary atherosclerosis progression. The well-established risk factors of CAD are consistent with those associated with the coronary plaque burden. However, recently, it was shown that new indicators exist, which we present in this paper, that significantly contribute to CAD complexity such as inflammatory parameters, C-reactive protein (CRP), ratios based on blood smear results, and uric acid. Moreover, microbiota alteration, vitamin D deficiency, and obstructive sleep apnea (OSA) also predicted CAD severity. However, sometimes, certain indicators were revealed as significant only in terms of chronic coronary syndromes (CCSs) or specific acute coronary syndromes (ACSs). Importantly, there is a need to apply the interdisciplinary and translational approach to the novel CAD severity risk assessment to maximize the impact of secondary prevention among patients at risk of coronary atherosclerosis progression.
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