Survival analysis for cardiac risk stratification

Risk Stratification for Cardiac Arrhythmia Patients

Cardiac imaging for risk stratification in diabetes.

World wide, 200 million individuals currently have diabetes, and projections by the World Health Organisation suggest that its prevalence will exceed 300 million by 2025 and 360 million by 2030. More than 90% of these individuals will have type 2 diabetes. Management guidelines in Europe and the USA consider type 2 diabetes to be a cardiovascular disease equivalent. These patients have a 2–4-fo...

Sudden cardiac death risk stratification.

Arrhythmic sudden cardiac death (SCD) may be caused by ventricular tachycardia/fibrillation or pulseless electric activity/asystole. Effective risk stratification to identify patients at risk of arrhythmic SCD is essential for targeting our healthcare and research resources to tackle this important public health issue. Although our understanding of SCD because of pulseless electric activity/asy...

Cardiac surgery risk-stratification models

Risk models are widely used to predict outcomes after cardiac surgery. Not only is risk modelling applied in the assessment of the relative impact of specific risk factors on surgical outcomes, but also in patient counselling, the selection of treatment options, comparison of postoperative results, and quality-improvement programmes. At least 19 risk-stratification models exist for open-heart s...

Risk stratification for arrhythmic sudden cardiac death: identifying the roadblocks.

Athough it is difficult to determine the precise number, the range for the number of sudden cardiac deaths (SCDs) per year in the United States alone has been reported from 184 000 to 462 000,1 with estimates that 50% to 70% are due to tachyarrhythmic mechanisms. Regardless of where within this range the true number lies, this represents a large epidemiological problem that warrants serious att...