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Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study

BACKGROUND: Today, while there are effective drugs that reduce the risk of osteoporotic fracture, yet there are no broadly accepted criteria that can be used to estimate risks and decide who should receive treatment. One of the actual priorities of clinical research is to develop a set of simple and...

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Autores principales: Sanfélix-Genovés, José, Peiró, Salvador, Sanfélix-Gimeno, Gabriel, Giner, Vicente, Gil, Vicente, Pascual, Manuel, Fluixá, Carlos, Fuertes, Antonio, Hurtado, Isabel, Ferreros, Inmaculada
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848634/
https://www.ncbi.nlm.nih.gov/pubmed/20334639
http://dx.doi.org/10.1186/1471-2458-10-153
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author Sanfélix-Genovés, José
Peiró, Salvador
Sanfélix-Gimeno, Gabriel
Giner, Vicente
Gil, Vicente
Pascual, Manuel
Fluixá, Carlos
Fuertes, Antonio
Hurtado, Isabel
Ferreros, Inmaculada
author_facet Sanfélix-Genovés, José
Peiró, Salvador
Sanfélix-Gimeno, Gabriel
Giner, Vicente
Gil, Vicente
Pascual, Manuel
Fluixá, Carlos
Fuertes, Antonio
Hurtado, Isabel
Ferreros, Inmaculada
author_sort Sanfélix-Genovés, José
collection PubMed
description BACKGROUND: Today, while there are effective drugs that reduce the risk of osteoporotic fracture, yet there are no broadly accepted criteria that can be used to estimate risks and decide who should receive treatment. One of the actual priorities of clinical research is to develop a set of simple and readily-available clinical data that can be used in routine clinical practice to identify patients at high risk of bone fracture, and to establish thresholds for therapeutic interventions. Such a tool would have high impact on healthcare policies. The main objective of the ESOSVAL-R is to develop a risk prediction scale of osteoporotic fracture in adult population using data from the Region of Valencia, Spain. METHODS/DESIGN: Study design: An observational, longitudinal, prospective cohort study, undertaken in the Region of Valencia, with an initial follow-up period of five years; Subjects: 14,500 men and women over the age of 50, residing in the Region and receiving healthcare from centers where the ABUCASIS electronic clinical records system is implanted; Sources of data: The ABUCASIS electronic clinical record system, complemented with hospital morbidity registers, hospital Accidents & Emergency records and the Regional Ministry of Health's mortality register; Measurement of results: Incident osteoporotic fracture (in the hip and/or major osteoporotic fracture) during the study's follow-up period. Independent variables include clinical data and complementary examinations; Analysis: 1) Descriptive analysis of the cohorts' baseline data; 2) Upon completion of the follow-up period, analysis of the strength of association between the risk factors and the incidence of osteoporotic fracture using Cox's proportional hazards model; 3) Development and validation of a model to predict risk of osteoporotic fracture; the validated model will serve to develop a simplified scale that can be used during routine clinical visits. DISCUSSION: The ESOSVAL-R study will establish a prediction scale for osteoporotic fracture in Spanish adult population. This scale not only will constitute a useful prognostic tool, but also it will allow identifying intervention thresholds to support treatment decision-making in the Valencia setting, based mainly on the information registered in the electronic clinical records.
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spelling pubmed-28486342010-04-02 Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study Sanfélix-Genovés, José Peiró, Salvador Sanfélix-Gimeno, Gabriel Giner, Vicente Gil, Vicente Pascual, Manuel Fluixá, Carlos Fuertes, Antonio Hurtado, Isabel Ferreros, Inmaculada BMC Public Health Study protocol BACKGROUND: Today, while there are effective drugs that reduce the risk of osteoporotic fracture, yet there are no broadly accepted criteria that can be used to estimate risks and decide who should receive treatment. One of the actual priorities of clinical research is to develop a set of simple and readily-available clinical data that can be used in routine clinical practice to identify patients at high risk of bone fracture, and to establish thresholds for therapeutic interventions. Such a tool would have high impact on healthcare policies. The main objective of the ESOSVAL-R is to develop a risk prediction scale of osteoporotic fracture in adult population using data from the Region of Valencia, Spain. METHODS/DESIGN: Study design: An observational, longitudinal, prospective cohort study, undertaken in the Region of Valencia, with an initial follow-up period of five years; Subjects: 14,500 men and women over the age of 50, residing in the Region and receiving healthcare from centers where the ABUCASIS electronic clinical records system is implanted; Sources of data: The ABUCASIS electronic clinical record system, complemented with hospital morbidity registers, hospital Accidents & Emergency records and the Regional Ministry of Health's mortality register; Measurement of results: Incident osteoporotic fracture (in the hip and/or major osteoporotic fracture) during the study's follow-up period. Independent variables include clinical data and complementary examinations; Analysis: 1) Descriptive analysis of the cohorts' baseline data; 2) Upon completion of the follow-up period, analysis of the strength of association between the risk factors and the incidence of osteoporotic fracture using Cox's proportional hazards model; 3) Development and validation of a model to predict risk of osteoporotic fracture; the validated model will serve to develop a simplified scale that can be used during routine clinical visits. DISCUSSION: The ESOSVAL-R study will establish a prediction scale for osteoporotic fracture in Spanish adult population. This scale not only will constitute a useful prognostic tool, but also it will allow identifying intervention thresholds to support treatment decision-making in the Valencia setting, based mainly on the information registered in the electronic clinical records. BioMed Central 2010-03-24 /pmc/articles/PMC2848634/ /pubmed/20334639 http://dx.doi.org/10.1186/1471-2458-10-153 Text en Copyright ©2010 Sanfélix-Genovés et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study protocol
Sanfélix-Genovés, José
Peiró, Salvador
Sanfélix-Gimeno, Gabriel
Giner, Vicente
Gil, Vicente
Pascual, Manuel
Fluixá, Carlos
Fuertes, Antonio
Hurtado, Isabel
Ferreros, Inmaculada
Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study
title Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study
title_full Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study
title_fullStr Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study
title_full_unstemmed Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study
title_short Development and validation of a population-based prediction scale for osteoporotic fracture in the region of Valencia, Spain: the ESOSVAL-R study
title_sort development and validation of a population-based prediction scale for osteoporotic fracture in the region of valencia, spain: the esosval-r study
topic Study protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848634/
https://www.ncbi.nlm.nih.gov/pubmed/20334639
http://dx.doi.org/10.1186/1471-2458-10-153
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