Cardiometabolic Syndromes and Associated Cardiovascular Risks: A Narrative Review

Antonio Ruiz-Saavedra1, Fernando Vidal-Ostos De Lara2, J Alfredo Martínez3,4,5

  • 1Escuela Internacional de Doctorado de la Universidad Nacional de Educación a Distancia (UNED), Programa en Ciencias Biomédicas y Salud Pública, Madrid, Spain.

PubMed

Insights

Cardiovascular risk is linked to metabolic disorders like metabolic syndrome and PCOS. Integrated approaches and precision medicine are needed for early detection and intervention to reduce heart disease burden.

Area of Science:

  • Endocrinology
  • Cardiology
  • Metabolic Disorders

Background:

  • Cardiovascular risk (CVR) is a global health issue, strongly linked to metabolic and endocrine disorders.
  • Conditions like metabolic syndrome (MetS), hypertriglyceridemic waist (HTGW), metabolic dysfunction-associated steatotic liver disease (MASLD), cardiorenometabolic syndrome (CKM), and polycystic ovary syndrome (PCOS) share common pathophysiological features.
  • These include insulin resistance, adipose tissue dysfunction, inflammation, and lipid abnormalities, driving vascular injury.

Purpose of the Study:

  • To synthesize current evidence linking MetS, HTGW, MASLD, CKM, and PCOS within a unified cardiometabolic framework.
  • To highlight the necessity for integrated risk stratification strategies.
  • To explore the potential of precision medicine for early identification and targeted interventions.

Main Methods:

  • Literature review synthesizing current evidence.
  • Analysis of shared and distinct features of various cardiometabolic conditions.
  • Discussion of common underlying mechanisms and their impact on cardiovascular health.

Main Results:

  • MASLD is an independent predictor of cardiovascular morbidity and mortality.
  • CKM represents a continuum of metabolic, renal, and cardiovascular dysfunction.
  • PCOS contributes to endothelial dysfunction and atherogenesis through metabolic and hormonal disturbances.

Conclusions:

  • These distinct conditions share common pathways contributing to cardiovascular risk.
  • Integrated risk stratification is crucial for managing patients with these overlapping disorders.
  • Precision medicine approaches utilizing multi-modal biomarkers can enable early detection and personalized interventions to mitigate long-term cardiovascular burden.
Abstract

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