Back to search

Article

Discovery and Validation of SVEP1 and Other Novel Cardiovascular Biomarkers For Patients with Kidney Failure On Maintenance Hemodialysis

2026-04-24

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Patients with kidney failure undergoing maintenance hemodialysis suffer high rates of major adverse cardiovascular events(MACE) that are not accurately predicted by traditional cardiovascular risk models. There is an urgent need to identify novel, modifiable cardiovascular risk factors for these patients. <h4>Methods</h4> We analyzed associations of 6287 circulating protein...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
602a536f-3565-53d3-bdfe-80d787782920
DOI
10.64898/2026.04.23.26348442
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Discovery and Validation of SVEP1 and Other Novel Cardiovascular Biomarkers For Patients with Kidney Failure On Maintenance HemodialysisDOI 10.64898/2026.04.23.26348442
Chronic kidney disease onset, progression, and cardiovascular outcomes: proteomics informs biology and risk stratification.Semantic proximity
Proteomics of CKD progression in the chronic renal insufficiency cohortSemantic proximity
Comprehensive bioinformatics analysis identifies biomarkers for cardiovascular risk in end-stage renal diseasesSemantic proximity
Rationale and study design of the prospective, longitudinal, observational cohort study "rISk strAtification in end-stage renal disease" (ISAR) study.Semantic proximity
Cardiovascular Risk Models in Chronic Kidney Disease: A Systematic Review and External Validation of ModelsSemantic proximity
Cardiovascular disease protein biomarkers are associated with kidney function: the Framingham Heart StudySemantic proximity
Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative review.Semantic proximity
Evaluating the kidney disease progression using a comprehensive patient profiling algorithm: A hybrid clustering approachSemantic proximity
A multi-layered approach to elucidate mechanisms of physical function in response to rehabilitation in heart failure with preserved ejection fractionSemantic proximity
Proteomics Identify Clinical Phenotypes and Predict Functional Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From VITALITY-HFpEF.Semantic proximity
Estimated Glomerular Filtration Rate is a Predictive Factor for High-Sensitivity Cardiac Troponin T in a Community-Based 4.8-year Prospective StudySemantic proximity
Multivascular Imaging-Derived Atherosclerotic Burden and Cardiorenal Outcomes in Non-Dialysis Chronic Kidney DiseaseSemantic proximity
Select a neighboring publication to make it the new centre.