2026-10-08T19:47:23Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32054385 2026-09-16T08:33:56Z category_24463 category_29872 category_29890 item_type_3 month_year_09_2026

Dataset and R code for deriving a composite FGF-based biomarker of cardiovascular risk in chronic kidney disease Manuel Martí Antonio (23755647) Laura González Rodriguez (23755702) Nicolás Roberto Robles (23755733) Guillermo Gervasini (9650945) Cardiology (incl. cardiovascular diseases) Biostatistics Statistical data science Fibroblast Growth Factor 19 Fibroblast growth factor 21 (FGF21) Fibroblast growth factor 23 (FGF23) cardiovascular risk factor profiles Cardiovascular risk and prevention CKD (chronic kidney disease) biostatistical methods clustering analysis methods factor analysis score based regression survival analysis, machine learning, survival prediction <p dir="ltr">This protocol describes an approach to combine multiple quantitative variables into a composite score derived from biomarker profiles. Selected variables are first integrated into a continuous score, which is subsequently transformed into an ordinal variable to define groups of individuals with similar profiles, enabling classification into categories. The protocol supports downstream analyses to evaluate the association of this score and the derived groups with CKD stage and cardiovascular event-free survival. This approach can be applied to similar settings in which multiple biomarkers are combined to characterize clinical phenotypes and assess their relationship with disease severity and clinical outcomes.</p> 2026-04-20T08:41:42Z Dataset Dataset 10.6084/m9.figshare.32054385.v4 https://figshare.com/articles/dataset/Protocol_to_combine_endocrine_FGF_concentrations_in_a_single_quantitative_variable_to_be_used_as_biomarker_of_cardiovascular_risk_in_patients_with_chronic_kidney_disease/32054385 CC BY 4.0