Assessment of a serum calcification propensity test for the prediction of all-cause mortality among hemodialysis patients

BACKGROUND: Vascular calcification is a major contributor to the high cardiac burden among hemodialysis patients. A novel in vitro T50-test, which determines calcification propensity of human serum, may identify patients at high risk for cardiovascular (CV) disease and mortality. We evaluated whethe...

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Detalles Bibliográficos
Autores principales: Zawada, Adam M, Wolf, Melanie, Rincon Bello, Abraham, Ramos-Sanchez, Rosa, Hurtado Munoz, Sara, Ribera Tello, Laura, Mora-Macia, Josep, Fernández-Robres, M. Amparo, Soler-Garcia, Jordi, Aguilera Jover, Josep, Moreso, Francesc, Stuard, Stefano, Stauss-Grabo, Manuela, Winter, Anke, Canaud, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933331/
https://www.ncbi.nlm.nih.gov/pubmed/36792998
http://dx.doi.org/10.1186/s12882-023-03069-6
Descripción
Sumario:BACKGROUND: Vascular calcification is a major contributor to the high cardiac burden among hemodialysis patients. A novel in vitro T50-test, which determines calcification propensity of human serum, may identify patients at high risk for cardiovascular (CV) disease and mortality. We evaluated whether T50 predicts mortality and hospitalizations among an unselected cohort of hemodialysis patients. METHODS: This prospective clinical study included 776 incident and prevalent hemodialysis patients from 8 dialysis centers in Spain. T50 and fetuin-A were determined at Calciscon AG, all other clinical data were retrieved from the European Clinical Database. After their baseline T50 measurement, patients were followed for two years for the occurrence of all-cause mortality, CV-related mortality, all-cause and CV-related hospitalizations. Outcome assessment was performed with proportional subdistribution hazards regression modelling. RESULTS: Patients who died during follow-up had a significantly lower T50 at baseline as compared to those who survived (269.6 vs. 287.7 min, p = 0.001). A cross-validated model (mean c statistic: 0.5767) identified T50 as a linear predictor of all-cause-mortality (subdistribution hazard ratio (per min): 0.9957, 95% CI [0.9933;0.9981]). T50 remained significant after inclusion of known predictors. There was no evidence for prediction of CV-related outcomes, but for all-cause hospitalizations (mean c statistic: 0.5284). CONCLUSION: T50 was identified as an independent predictor of all-cause mortality among an unselected cohort of hemodialysis patients. However, the additional predictive value of T50 added to known mortality predictors was limited. Future studies are needed to assess the predictive value of T50 for CV-related events in unselected hemodialysis patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03069-6.

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