Abstract

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.

Details

Title
Assessment of a serum calcification propensity test for the prediction of all-cause mortality among hemodialysis patients
Author
Zawada, Adam M; Wolf, Melanie; Abraham Rincon Bello; Ramos-Sanchez, Rosa; Sara Hurtado Munoz; Laura Ribera Tello; Mora-Macia, Josep; Fernández-Robres, M Amparo; Soler-Garcia, Jordi; Josep Aguilera Jover; Moreso, Francesc; Stuard, Stefano; Stauss-Grabo, Manuela; Winter, Anke; Canaud, Bernard
Pages
1-9
Section
Research
Publication year
2023
Publication date
2023
Publisher
BioMed Central
e-ISSN
14712369
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2777773179
Copyright
© 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.