Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Min Jeong Park1, Kyung Mook Choi1
1Division of Endocrinology & Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.
Insights
Even with controlled risk factors, residual cardiovascular disease (CVD) risk remains. Metabolic factor variability is a new focus for reducing this residual risk and improving patient outcomes.
Area of Science:
- Cardiology
- Metabolic Health
- Preventive Medicine
Background:
- Cardiovascular disease (CVD) remains a leading cause of mortality despite efforts to manage risk factors like glucose, cholesterol, and blood pressure.
- Residual risk persists in many patients even when key cardiometabolic factors are within target ranges.
- Emerging research suggests metabolic factor variability may contribute to this residual CVD risk.
Purpose of the Study:
- To review the existing literature on the association between metabolic factor variability and cardiovascular disease (CVD) risk.
- To explore potential biological mechanisms linking metabolic variability to CVD.
- To discuss potential therapeutic strategies for mitigating cardiometabolic risk factor variability.
Main Methods:
- Comprehensive literature search of clinical trials and cohort studies.
- Analysis of reported associations between metabolic parameter variability and CVD incidence.
- Synthesis of proposed pathophysiological mechanisms.
Main Results:
- Studies indicate a significant relationship between increased variability in metabolic factors (e.g., glucose, lipids) and higher CVD risk.
- Variability may reflect underlying physiological dysregulation contributing to endothelial dysfunction and atherosclerosis.
- Evidence suggests variability impacts CVD risk independently of average factor levels.
Conclusions:
- Metabolic factor variability is an important, underappreciated contributor to residual cardiovascular risk.
- Targeting metabolic variability may offer novel therapeutic avenues for CVD prevention.
- Further research is needed to elucidate mechanisms and develop targeted interventions.
Abstract:
Despite strenuous efforts to reduce cardiovascular disease (CVD) risk by improving cardiometabolic risk factors, such as glucose and cholesterol levels, and blood pressure, there is still residual risk even in patients reaching treatment targets. Recently, researchers have begun to focus on the variability of metabolic variables to remove residual risks. Several clinical trials and cohort studies have reported a relationship between the variability of metabolic parameters and CVDs. Herein, we review the literature regarding the effect of metabolic factor variability and CVD risk, and describe possible mechanisms and potential treatment perspectives for reducing cardiometabolic risk factor variability.
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