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External Validation And Cost Effectiveness Analysis Of The Non-Lb Framingham Cardiovascular Disease Risk Assessment Algorithm In The Atherosclerosis Risk In Communities Dataset, Jacob K. Kariuki
Graduate Doctoral Dissertations
Background: In recent years, non-Laboratory based (non-LB) risk assessment algorithms have been developed to facilitate absolute cardiovascular disease (CVD) risk assessment in resource constrained primary care settings. The non-LB Framingham algorithm, which substitutes body mass index (BMI) for lipids, has the best discrimination and calibration among the published algorithms, but its external validity and cost-effectiveness have not been determined.
Purpose: External validation and comparative effectiveness analysis of the non-LB versus laboratory based (LB) Framingham algorithm in a racially diverse population, and simulated cost-effectiveness analysis focusing on a black sample.
Methods: Secondary data analysis was performed using the Atherosclerosis Risk in …