A method to construct a points system to predict cardiovascular disease considering repeated measures of risk factors
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Título: | A method to construct a points system to predict cardiovascular disease considering repeated measures of risk factors |
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Autor/es: | Palazón Bru, Antonio | Carbayo-Herencia, Julio Antonio | Vigo, Isabel | Gil Guillén, Vicente |
Grupo/s de investigación o GITE: | Métodos Estadístico-Matemáticos para el Tratamiento de Datos de Observación de la Tierra (MEMOT) | Geodesia Espacial y Dinámica Espacial |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Matemática Aplicada |
Palabras clave: | Cardiovascular diseases | Cardiovascular models | Risk factors | Cohort studies |
Área/s de conocimiento: | Matemática Aplicada |
Fecha de publicación: | 15-feb-2016 |
Editor: | PeerJ |
Cita bibliográfica: | Palazón-Bru A, Carbayo-Herencia JA, Vigo MI, Gil-Guillén VF. (2016) A method to construct a points system to predict cardiovascular disease considering repeated measures of risk factors. PeerJ 4:e1673 https://doi.org/10.7717/peerj.1673 |
Resumen: | Current predictive models for cardiovascular disease based on points systems use the baseline situation of the risk factors as independent variables. These models do not take into account the variability of the risk factors over time. Predictive models for other types of disease also exist that do consider the temporal variability of a single biological marker in addition to the baseline variables. However, due to their complexity these other models are not used in daily clinical practice. Bearing in mind the clinical relevance of these issues and that cardiovascular diseases are the leading cause of death worldwide we show the properties and viability of a new methodological alternative for constructing cardiovascular risk scores to make predictions of cardiovascular disease with repeated measures of the risk factors and retaining the simplicity of the points systems so often used in clinical practice (construction, statistical validation by simulation and explanation of potential utilization). We have also applied the system clinically upon a set of simulated data solely to help readers understand the procedure constructed. |
URI: | http://hdl.handle.net/10045/53122 |
ISSN: | 2167-8359 |
DOI: | 10.7717/peerj.1673 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2016 Palazón-Bru et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.7717/peerj.1673 |
Aparece en las colecciones: | INV - SG - Artículos de Revistas INV - GEDE - Artículos de Revistas |
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