Validation of the prognostic index of morbidity and mortality due to cardiovascular disease associated with atherogenic risk factors
Keywords:
cardiovascular risk, prediction models, cardiovascular disease.Abstract
Introduction: The evidence shows that cardiovascular risk prediction equations cannot be applied directly in all populations and require the evaluation of their validity in a new population.Objective: To evaluate whether the prognostic index of morbidity and mortality due to cardiovascular disease associated with atherogenic risk factors is applicable to the general population.
Methods: An external validation study was carried out based on a prospective cohort with 10 years of follow-up, which recruited 700 hypertensive patients free of cardiovascular disease on admission. The number of expected and observed cardiovascular events in those ten years was compared (calibration) and the ability of the risk function to separate high and low risk subjects (discrimination) was estimated.
Results: Significant differences were evidenced between the observed and expected cases, since the low-risk group of 5 expected only reaches 2,5 %, a situation that is reversed in the high-risk group, in which 50 expected events reach an increase 1,62 times (81 patients). Sensitivity values exceed 80% and specificity increased in direct and proportional relationship with the hazard gradient. The area under the ROC curve was 0,78, considered acceptable.
Conclusions: The evaluated prognostic index inadequately calibrates because it overestimates cardiovascular risk, however it appropriately discriminates against people classified as high risk for acquiring atherosclerotic cardiovascular disease.
Downloads
References
2. Vega Abascal J, Guimará Mosqueda MR, Garces Hernández Y, Vega Abascal LA, Rivas Estevez M. Predicción de riesgo coronario y cardiovascular global en la atención primaria de salud. CCM. 2015[acceso: 19/01/2020]; 19(2):202-11. Disponible en: https://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1560-43812015000200003&lng=es
3. Marrugat J, Vila J, Baena-Díez JM, Grau M, Sala J, Ramos R, et al. Validez relativa de la estimación del riesgo cardiovascular a 10 años en una cohorte poblacional del estudio REGICOR. Rev Esp Cardiol. 2011[acceso: 19/01/2020]; 64(5):385-94 Disponible en: https://www.revespcardiol.org/es/relative-validity-of-the-10-year/articulo/S030089321100251X/
4. Muñoz OM, Rodríguez NI, Ruiz A, Rondón M. Validación de los modelos de predicción de Framingham y PROCAM como estimadores del riesgo cardiovascular en una población colombiana. Rev Colomb Cardiol. 2014[acceso: 19/01/2020]; 21(4):202-12. Disponible en: https://www.sciencedirect.com/journal/revista-colombiana-de-cardiologia
5. Rodríguez Perón JM, Mora González SR, Acosta Cabrera EB, Pérez Salido JA, Fernández de la Rosa R, Hernández Sandoval M, et al. Utilización de un índice pronóstico de morbilidad y mortalidad por enfermedad cardiovascular asociada con factores de riesgo aterogénico. Rev Cubana Med Milit. 2002[acceso: 19/01/2020]; 31(2):87-93. Disponible en: https://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0138-65572002000200003&lng=es
6. Argentina Rodríguez A, Alfredo Murillo A, José Rivera R, Enrique Montalván E, Gabriela Duarte K, Alejandro Urrutia S, et al. Validez de los métodos de predicción para riesgo cardiovascular en América Latina: revisión bibliográfica. REV MED HONDUR. 2017[acceso: 19/01/2020]; 85(1y2):51-5. Disponible en: https://www.bvs.hn/RMH/pdf/2017/pdf/Vol85-1-2-2017-15.pdf
7. Gulayin PE, Danaei G, Gutierrez L, Poggio R, Ponzo J, Lanas F, et al. Validación externa de ecuaciones de riesgo cardiovascular en el Cono Sur de Latinoamérica: ¿cuál predice mejor? Rev Argent Cardiol. 2018[acceso: 19/01/2020]; 86(1):14-19. Disponible en: https://www.sac.org.ar/wp-content/uploads/2018/05/v86n1a04.pdf
Published
How to Cite
Issue
Section
License
Authors who have publications with this Journal accept the following terms:
- The authors will retain their copyright and guarantee the Journal the right of first publication of their work, which will simultaneously be subject to the Creative Commons Attribution License. The content presented here can be shared, copied and redistributed in any medium or format; Can be adapted, remixed, transformed or created from the material, using the following terms: Attribution (giving appropriate credit to the work, providing a link to the license, and indicating if changes have been made); non-commercial (you cannot use the material for commercial purposes) and share-alike (if you remix, transform or create new material from this work, you can distribute your contribution as long as you use the same license as the original work).
- The authors may adopt other non-exclusive license agreements for the distribution of the published version of the work (for example: depositing it in an institutional electronic archive or publishing it in a monographic volume) as long as the initial publication in this Journal is indicated.
- Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional electronic archives or on their website) before and during the submission process, which can produce interesting exchanges and increase citations. of the published work.