Risk Prediction

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Enhancing Risk Prediction After TAVI: The COPD-Augmented R₂CHA₂DS₂-VA Score and Its Prognostic Value

A novel risk score incorporating COPD and graded renal dysfunction improves prediction of one-year mortality post-TAVI, showing excellent internal validity but requiring external validation before clinical use.

Section: CardiologyJul 3, 2026

Proteomic Markers Predicting Progression from Impaired Fasting Glucose to Diabetes: Insights from the ARIC Study

This study identifies six plasma proteins associated with 3-year progression from impaired fasting glucose to diabetes, enhancing risk prediction and offering new mechanistic insights.

Risk Prediction

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Enhancing Risk Prediction After TAVI: The COPD-Augmented R₂CHA₂DS₂-VA Score and Its Prognostic Value

Proteomic Markers Predicting Progression from Impaired Fasting Glucose to Diabetes: Insights from the ARIC Study

Laminopathies: Natural History and Risk Prediction of Heart Failure

Digital Sleep-Wake Cycle Metrics and Dementia Prediction in Older Adults

Late-Life Stroke in ARIC Was More Often Embolic, and Atrial Disease Explained Much of the Risk

New Statistical Model Predicts Chronic ITP in Children at Diagnosis

The TIP-CA Model: A Validated Tool to Stratify Cancer Risk in Adult Dermatomyositis Patients

Integrating Metabolomics and Polygenics with SCORE2: A New Frontier in Cardiovascular Risk Stratification

Precision in Prevention: The Role of Prediction-Augmented Shared Decision-Making in Enhancing Lung Cancer Screening Uptake

Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms: A Multinational Cohort Review

Predicting Heart Failure Risk in Women Treated for Breast Cancer: A New Clinical Tool

Triglyceride Glucose-Waist Height Ratio Index as a Predictor of Cardiometabolic Multimorbidity in Chinese Middle-Aged and Older Adults: Insights from a National Prospective Cohort Study

Insulin Resistance Indices as Predictors of Cardio-Renal-Metabolic Multimorbidity: Insights from the UK Biobank

Harnessing Machine Learning to Predict High-Risk Coronary Artery Disease: Insights from the SCOT-HEART Trial

Beyond Binary: Unveiling the Broad Cardiovascular Insights of AI-enhanced Electrocardiography

Enhancing Cardiovascular Risk Prediction and Outcomes with Coronary CT Angiography: Insights from the PROMISE and SCOT-HEART Trials