COMPARISON OF THE FRAMINGHAM, PROCAM AND MODIFIED FRAMINGHAM RISK SCORES FOR PREDICTING CARDIOVASCULAR EVENTS IN A COHORT FROM A CARDIOVASCULAR PREVENTION PROGRAM IN THE CARIBBEAN REGION OF COLOMBIA
Author(s)
Salcedo Mejía F1, Miranda Machado P2, Parra Padilla D3, Gómez De la Rosa F1, Carrasquilla Sotomayor M4, PAZ Wilchez J5, Fernandez Mercado JC6, Jerez Arias M7, Vargas-Moranth R8, Alvis Guzman N9, De La Hoz F10
1ALZAK Foundation, Cartagena, Colombia, 2Alzak Foundation. Universidad de Cartagena., Cartagena de Indias, Colombia, 3ALZAK Foundation, Cartagena, BOL, Colombia, 4ALZAK Foundation, BOGOTA, CUN, Colombia, 5MUTUALSER EPS, CARTAGENA DE INDIAS, Colombia, 6MUTUALSER EPS, University of Cartagena Clínica Crecer, CARTAGENA DE INDIAS, Colombia, 7Fundación Ser Social, Cartagena, Colombia, 8ALZAK Foundation. University of Cartagena., Barranquilla, ATL, Colombia, 9Universidad de Cartagena - ALZAK Foundation, Cartagena, Colombia, 10Universidad Nacional de Colombia, Bogota, Colombia
To compare the Framingham, PROCAM and modified Framingham risk scores for predicting cardiovascular events (CVE) in a cohort from a cardiovascular prevention program in the Caribbean Region of Colombia
METHODS :Retrospective cohort study. A population of 128,265 patients enrolled in the “De todo corazón” program between 2013-2018 with hypertension (HTA), diabetes mellitus (DM), dyslipidemia or chronic kidney disease (CKD) was considered. Patients with 30 to 74 years of age, with at least 6 months of enrollment, without personal history of previous CVE or coronary revascularization were included. The PROCAM, Framingham and two modified versions of Framingham risk score were estimated (first: a 75% adjustment; second: Framingham>20, patient receiving statins, BMI> = 25, CKD, triglycerides> = 200mg/dL). Patients with insufficient information were excluded. A multivariate logistic regression model using clinical variables as covariates was used to predict first CVE and was compared with each risk scale. The Delong test and a Boostrap with 1,000 resamples were used to evaluate differences in the AUC-ROC statistic.
RESULTS :A sample of 85,798 (66.9%) patients with 2,664 (3.1%) CVE was obtained. The estimated AUC-ROC (95% CI) were: Framighan Score = 0.623 (0.603 - 0.643), Framighan Score 75% = 0.641 (0.621 - 0.660), Framighan Risk Factors = 0.687 ( 0.668 - 0.705), PROCAM Score = 0.599 ( 0.556-0.641), PROCAM score = 0.651 (0.625-0.677), PROCAM risk factors = 0.676 (0.656-0.695), High risk groups = 0.708 ( 0.688-0.727). Establishing the AUC-ROC Framighan Score as a basis, the differences with high-risk groups were significant (Delong test: p <0.001, Bootstrap test: p <0.001), Framighan risk factors (Delong test: p <0.001, Bootstrap test : p <0.001) and risk factors PROCAM (Delong test: p <0.001, Bootstrap test: p <0.001).
CONCLUSIONS :The high-risk group better predicts CVD. The use of this scale would improve the categorization of cardiovascular risk in this population.
Conference/Value in Health Info
Value in Health, Volume 23, Issue 5, S1 (May 2020)
Code
PCV56
Topic
Epidemiology & Public Health, Methodological & Statistical Research, Real World Data & Information Systems
Topic Subcategory
Health & Insurance Records Systems, Public Health
Disease
Cardiovascular Disorders, Diabetes/Endocrine/Metabolic Disorders