2026-05-19T01:29:20Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/261822025-12-18T12:51:43Zcom_20.500.12105_2052com_20.500.12105_2051com_20.500.12105_15322col_20.500.12105_19608col_20.500.12105_16963
Repisalud
author
Pastor-Barriuso, Roberto
author
León-González, Rocío
author
Ortolá, Rosario
author
Carballo-Casla, Adrián
author
Sotos-Prieto, Mercedes
author
Buño-Soto, Antonio
author
Rodríguez-Sánchez, Isabel
author
Pastor-Barriuso, Roberto
author
Rodríguez-Artalejo, Fernando
author
García-Esquinas, Esther
funder
Instituto de Salud Carlos III
funder
Plan Nacional de I+D+i (España)
funder
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
funder
Unión Europea. Fondo Social Europeo (ESF/FSE)
funder
Plan Nacional de Drogas (España)
funder
Ministerio de Ciencia e Innovación (España)
funder
Agencia Estatal de Investigación (España)
funder
Unión Europea. Comisión Europea. NextGenerationEU
funder
Centro para el Desarrollo Tecnológico Industrial (España)
2025-01-28T17:55:01Z
2025-01-28T17:55:01Z
2024-08-01
León-González R, Ortolá R, Carballo-Casla A, Sotos-Prieto M, Buño-Soto A, Rodríguez-Sánchez I, Pastor-Barriuso R, Rodríguez-Artalejo F, García-Esquinas E. Growth Differentiation Factor 15 as a Biomarker of Cardiovascular Risk in Chronic Musculoskeletal Pain. J Gerontol A Biol Sci Med Sci. 2024 Aug 1;79(8):glae163.
10.1093/gerona/glae163
1758-535X
1079-5006
The journals of gerontology. Series A, Biological sciences and medical sciences
38975684
https://hdl.handle.net/20.500.12105/26182
Background: It is unknown whether growth differentiation factor 15 (GDF-15) is associated with chronic musculoskeletal pain (CMP) and whether or not its association with incident cardiovascular disease (CVD) changes according to CMP status. Methods: In total, 1 957 randomly selected adults aged ≥65 years without prior CVD were followed up between 2015 and 2023. CMP was classified according to its intensity, frequency, and interference with daily activities. The association between GDF-15 levels and CMP was assessed using linear models with progressive inclusion of potential confounders, whereas the association between GDF-15 and CVD risk was evaluated with Cox proportional hazard models with similar adjustment and interaction terms between GDF-15 and CMP. The incremental predictive performance of GDF-15 over standard predictors was evaluated using discrimination and risk reclassification metrics. Results: GDF-15 concentrations were 6.90% (95% confidence interval [CI]: 2.56; 11.25) higher in individuals with CMP, and up to 8.89% (4.07; 15.71) and 15.79% (8.43; 23.16) higher in those with ≥3 CMP locations and interfering pain. These increased levels were influenced by a higher prevalence of cardiometabolic risk factors, functional impairments, depressive symptoms, and greater levels of inflammation in individuals with CMP. In fully adjusted models, a twofold increase in GDF-15 was associated with a 1.49 increased risk (95% CI: 1.08; 2.05) of a CVD event in individuals with CMP, but not among those without CMP (1.02 [0.77; 1.35]); p-interaction 0.041. Adding GDF-15 to models including the Framingham Risk Score improved predictive performance among individuals with CMP. Conclusions: We provide evidence that GDF-15 could serve as a biomarker to assess CMP, as well as to predict CVD incidence in individuals with CMP.
eng
Biomarkers
Cardiovascular disease (CVD)
Pain
Growth Differentiation Factor 15 as a Biomarker of Cardiovascular Risk in Chronic Musculoskeletal Pain
research article
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