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Visceral fat acts like a toxic factory wrapped around the heart, secreting inflammatory substances that drive ongoing atherosclerosis. Precision cardiology can now identify, quantify and specifically target this hidden cardiovascular risk factor in coronary disease patients.
Sedentary work creates dangerous visceral fat that actively promotes cardiovascular disease through inflammatory pathways and insulin resistance. Prolonged sitting suppresses crucial enzymes and disrupts metabolism in ways that cannot be fully offset by exercise alone, requiring targeted workplace interventions.
Ectopic beats create anxiety, which releases adrenaline, which worsens ectopic beats. This ancient feedback loop can be broken through education. When patients understand these are backup pacemakers, not malfunctions, symptoms often disappear without medication.
Body recomposition focuses on reducing visceral fat while preserving muscle mass, offering superior cardiovascular protection compared to traditional weight loss. This approach proves particularly valuable for patients with coronary disease, those starting GLP-1 therapy, and adults over 60 facing age-related muscle loss.
Patients with a low CHA₂DS₂-VASc score are often considered low risk for stroke. However, around cardioversion, this changes. Atrial paresis following restoration of sinus rhythm creates a temporary high-risk period for clot formation, particularly after AF lasting more than 24 hours, making short-term anticoagulation essential even in younger patients.
A single episode of atrial fibrillation in patients with a CHA₂DS₂-VASc score ≥2 often leads to a recommendation for lifelong anticoagulation. But is this always necessary? This article explores when exceptions may be reasonable, the importance of rhythm monitoring, and how shared decision-making can guide personalised, safe stroke prevention strategies.
Modern lipid management requires both substantial percentage LDL reduction and achieving low absolute LDL levels. Relative reduction reflects treatment intensity, while absolute LDL determines residual risk. Trials consistently show “lower is better.” Even with good percentage drops, patients may remain undertreated—making combined pharmacological and lifestyle strategies essential to reduce atherogenic exposure and cardiovascular risk.
Whether you are diabetic or simply health-conscious, understanding how to interpret CGM data can significantly enhance your approach to diet and lifestyle management. By recognising your body's unique responses to different foods and activities, you can make informed decisions that promote better metabolic health and overall well-being.
Ten minutes of strength training, five days a week, is enough to change metabolic health. Like brushing your teeth, it works because it’s sustainable. Keep the time fixed, increase the weights gradually, and focus on strength, not scales. Small daily habits protect muscle, reduce visceral fat, and support long-term health.
Transoesophageal echocardiography before atrial fibrillation cardioversion prevents stroke by detecting hidden left atrial appendage clots. The greatest risk comes from atrial stunning after rhythm restoration, not existing thrombus. TOE enables safe early intervention.
PCSK9 binds to LDL receptors and directs them to be destroyed within the cell, rather than allowing them to recycle to the surface. When too much PCSK9 is present, fewer LDL receptors remain available to clear LDL from the blood. The result is simple: LDL levels rise. When that happens, the liver compensates by making even more cholesterol internally. This is why around 90% of the cholesterol in your blood is made by your liver, not absorbed from your diet.
Small dense LDL (sdLDL) particles are the most atherogenic type of LDL. They are smaller and heavier, stay in the bloodstream longer and more likely to oxidise and enter artery walls. High sdLDL is typical of metabolic syndrome, diabetes, and high triglyceride states linked to visceral fat.Because sdLDL testing is specialised, the ApoB level and the LDL-C : ApoB ratio can be used to estimate particle size predominance: