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Advances in the Diagnosis and Management of High-Risk Cardiovascular Conditions: Biomarkers, Intracoronary Imaging, Artificial Intelligence, and Novel Anticoagulants - PubMed

Advances in the Diagnosis and Management of High-Risk Cardiovascular Conditions: Biomarkers, Intracoronary Imaging, Artificial Intelligence, and Novel Anticoagulants - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/41590879/

Understanding thrombosis in acute coronary syndromes (ACSs) has evolved through advances in biomarkers, intracoronary imaging, and emerging analytical tools, improving diagnostic accuracy and risk stratification in high-risk patients. This narrative...

This review highlights advances in ACS care using biomarkers, intracoronary imaging, AI, and novel anticoagulants, enabling improved diagnosis, risk stratification, and personalized management, while emphasizing the need for further validation.

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Progress in risk assessment and management: Forecasting updates across international cholesterol guidelines - PubMed

Progress in risk assessment and management: Forecasting updates across international cholesterol guidelines - PubMed

Source : https://pubmed.ncbi.nlm.nih.gov/41624043/

In anticipation of updates to cholesterol guidelines globally, evidence since the most recent iteration of recommendations across US and Europe for risk assessment and lipid management are reviewed. ASCVD risk...

Review forecasts global cholesterol guideline updates emphasizing PREVENT risk equations, coronary calcium, lower LDL-C targets, and combination lipid-lowering therapy including statins, ezetimibe, bempedoic acid, and PCSK9 inhibitors for high-risk patients.

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Did you know? Hormonal imbalances can subtly influence lipid metabolism, insulin sensitivity, body weight, and renal function. Disruptions in calcium, vitamin D, and magnesium signaling may amplify cardiometabolic risk, underscoring the need for integrated endocrine monitoring across obesity, diabetes, and lipid disorders to support long-term metabolic health.

Could a more holistic approach to hormonal monitoring improve cardiometabolic outcomes across diverse metabolic conditions?

NCCN Guidelines

Could a more holistic approach to hormonal monitoring improve cardiometabolic outcomes across diverse metabolic conditions?

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Emerging evidence links hormonal imbalance to metabolic dysfunction, oxidative stress, and elevated cardiovascular risk. Conditions marked by insulin resistance, dyslipidemia, and obesity share disrupted endocrine signaling that accelerates cardiometabolic complications across populations.

Explore endocrine–metabolic connections

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