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Clustering a large Spanish sample of patients with fibromyalgia using the Fibromyalgia Impact Questionnaire–Revised: differences in clinical outcomes, economic costs, inflammatory markers, and gray matter volumes


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Título :
Clustering a large Spanish sample of patients with fibromyalgia using the Fibromyalgia Impact Questionnaire–Revised: differences in clinical outcomes, economic costs, inflammatory markers, and gray matter volumes
Autor :
Pérez-Aranda, Adrián
Andrés Rodríguez, Laura  
Feliu-Soler, Albert  
Núñez, Christian  
Stephan-Otto, Christian
Pastor-Mira, María Ángeles  
López Roig, Sofía  
Peñacoba, Cecilia  
Pita Calandre, Elena  
Slim, Mahmoud
Salgueiro, Monika  
Feixas, Guillem  
Luciano, Juan Vicente  
Editor :
Lippincott, Williams & Wilkins
Departamento:
Departamentos de la UMH::Ciencias del Comportamiento y salud
Fecha de publicación:
2019-04
URI :
https://hdl.handle.net/11000/33507
Resumen :
The main objective of this study is to identify fibromyalgia syndrome (FMS) clusters using the Revised Fibromyalgia Impact Questionnaire (FIQR), and to examine whether the clusters differ in sociodemographic characteristics, clinical measures, direct and indirect costs, levels of inflammatory markers, and brain morphometry. A hierarchical cluster analysis was performed to classify a large, pooled Spanish sample of patients with FMS (N 5 947) using the FIQR as clustering variable. A latent profile analysis was subsequently conducted to confirm the optimal number of FMS clusters. To examine external validity, a battery of clinical measures, economic costs, inflammatory markers, and gray matter volumes of relevant cortical and subcortical areas were analyzed. We also compared the discriminant validity of the clusters with the original FIQR severity categories. To promote the implementation in real-world clinical practice, we built a free online cluster calculator. Our findings indicated that a four-cluster solution more clearly captured the heterogeneity of FIQR data and provided the best fit. This cluster solution allowed for detection of differences for most clinical outcomes and economic costs. Regarding the inflammatory and brain-based biomarkers, differences were found in C-reactive protein, and tendencies were found in the right medial prefrontal cortex, the right parahippocampal gyrus, and the right middle cingulate cortex; brain regions associated with executive functions and pain processing. The original FIQR categories presented similar results, although their precision in discriminating among the nonextreme categories (ie, moderate and severe) was not sound. These findings are discussed in relation to previous research on FMS clustering.
Palabras clave/Materias:
Fibromyalgia
FIQR
Cluster analysis
Latent profile analysis
Economic costs
Área de conocimiento :
CDU: Filosofía y psicología: Psicología
Tipo documento :
application/pdf
Derechos de acceso:
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1097/j.pain.0000000000001468
Aparece en las colecciones:
Artículos Ciencias del Comportamiento y Salud



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.