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Growth Differentiation Factor 15 as a Biomarker of Cardiovascular Risk in Chronic Musculoskeletal Pain.
León-González, Rocío; Ortolá, Rosario; Carballo-Casla, Adrián; Sotos-Prieto, Mercedes; Buño-Soto, Antonio; Rodríguez-Sánchez, Isabel; Pastor-Barriuso, Roberto; Rodríguez-Artalejo, Fernando; García-Esquinas, Esther.
Affiliation
  • León-González R; Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
  • Ortolá R; Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
  • Carballo-Casla A; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Sotos-Prieto M; CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
  • Buño-Soto A; Department of Neurobiology, Aging Research Center, Care Sciences and Society Karolinska Institutet & Stockholm University, Stockholm, Sweden.
  • Rodríguez-Sánchez I; Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
  • Pastor-Barriuso R; Department of Environmental Health and Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Rodríguez-Artalejo F; Department of Laboratory Medicine, La Paz University Hospital-IdiPaz, Madrid, Spain.
  • García-Esquinas E; Geriatrics Department, Hospital Clínico San Carlos, Madrid, Spain.
Article in En | MEDLINE | ID: mdl-38975684
ABSTRACT

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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Cardiovascular Diseases / Growth Differentiation Factor 15 / Musculoskeletal Pain / Chronic Pain Limits: Aged / Female / Humans / Male Language: En Journal: J Gerontol A Biol Sci Med Sci Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers / Cardiovascular Diseases / Growth Differentiation Factor 15 / Musculoskeletal Pain / Chronic Pain Limits: Aged / Female / Humans / Male Language: En Journal: J Gerontol A Biol Sci Med Sci Year: 2024 Document type: Article