2024
Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification
Ghosh A, Venkatraman S, Nanna M, Safford M, Colantonio L, Brown T, Pinheiro L, Peterson E, Navar A, Sterling M, Soroka O, Nahid M, Banerjee S, Goyal P. Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification. JAMA Cardiology 2024, 9: 55-62. PMID: 38055247, PMCID: PMC10701663, DOI: 10.1001/jamacardio.2023.4520.Peer-Reviewed Original ResearchConceptsLipoprotein cholesterol levelsAtherosclerotic cardiovascular diseaseCohort studyREGARDS cohortCholesterol levelsCardiovascular diseaseLow-density lipoprotein cholesterol levelsCoronary heart disease deathDensity lipoprotein cholesterol levelsRace-sex stratumHeart disease deathProspective cohort studyCohort risk equationsRisk predictionRace stratificationIncident ASCVDNonfatal strokeDisease deathsC-statisticMyocardial infarctionHigh riskRisk equationsSocial determinantsPercentage declineIncremental value
2021
The incremental value of angiographic features for predicting recurrent cardiovascular events: Insights from the Duke Databank for Cardiovascular Disease
Nanna MG, Peterson ED, Chiswell K, Overton RA, Nelson AJ, Kong DF, Navar AM. The incremental value of angiographic features for predicting recurrent cardiovascular events: Insights from the Duke Databank for Cardiovascular Disease. Atherosclerosis 2021, 321: 1-7. PMID: 33582446, PMCID: PMC8221430, DOI: 10.1016/j.atherosclerosis.2021.02.004.Peer-Reviewed Original ResearchConceptsSecondary risk predictionAngiographic featuresCardiovascular diseaseCardiovascular eventsClinical characteristicsDuke DatabankMultivariable modelIncremental valueRisk predictionAtherosclerotic cardiovascular disease eventsSignificant coronary artery diseaseBaseline clinical factorsDuke CAD indexRecurrent cardiovascular eventsCardiovascular disease eventsSame health systemCoronary artery diseasePrimary care physiciansCardiac catheterization patientsCoronary angiographic featuresRecurrent eventsRisk prediction modelAngiographic variablesInitial revascularizationAngiographic predictors