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Cardiovascular risk and kidney function profiling using conventional and novel biomarkers in young adults: the African-PREDICT study

BACKGROUND: Low- and middle-income countries experience an increasing burden of chronic kidney disease. Cardiovascular risk factors, including advancing age, may contribute to this phenomenon. We (i) profiled cardiovascular risk factors and different biomarkers of subclinical kidney function and (ii...

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Detalles Bibliográficos
Autores principales: Degenaar, A, Jacobs, A, Kruger, R, Delles, C, Mischak, H, Mels, CMC
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103421/
https://www.ncbi.nlm.nih.gov/pubmed/37055746
http://dx.doi.org/10.1186/s12882-023-03100-w
Descripción
Sumario:BACKGROUND: Low- and middle-income countries experience an increasing burden of chronic kidney disease. Cardiovascular risk factors, including advancing age, may contribute to this phenomenon. We (i) profiled cardiovascular risk factors and different biomarkers of subclinical kidney function and (ii) investigated the relationship between these variables. METHODS: We cross-sectionally analysed 956 apparently healthy adults between 20 and 30 years of age. Cardiovascular risk factors such as high adiposity, blood pressure, glucose levels, adverse lipid profiles and lifestyle factors were measured. Various biomarkers were used to assess subclinical kidney function, including estimated glomerular filtration rate (eGFR), urinary albumin, uromodulin and the CKD273 urinary proteomics classifier. These biomarkers were used to divide the total population into quartiles to compare extremes (25(th) percentiles) on the normal kidney function continuum. The lower 25(th) percentiles of eGFR and uromodulin and the upper 25(th) percentiles of urinary albumin and the CKD273 classifier represented the more unfavourable kidney function groups. RESULTS: In the lower 25(th) percentiles of eGFR and uromodulin and the upper 25(th) percentile of the CKD273 classifier, more adverse cardiovascular profiles were observed. In multi-variable adjusted regression analyses performed in the total group, eGFR associated negatively with HDL-C (β= -0.44; p < 0.001) and GGT (β= -0.24; p < 0.001), while the CKD273 classifier associated positively with age and these same risk factors (age: β = 0.10; p = 0.021, HDL-C: β = 0.23; p < 0.001, GGT: β = 0.14; p = 0.002). CONCLUSION: Age, lifestyle and health measures impact kidney health even in the third decade. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03100-w.