Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids
David de Gonzalo‐Calvo, Pablo Martínez‐Camblor, Christian Bär, Kévin Duarte, Nicolas Girerd, Bengt Fellström, Roland E. Schmieder, Alan G. Jardine, Ziad A. Massy, Hallvard Holdaas, Patrick Rossignol, Faı̈ez Zannad, Thomas Thum
Abstract
The circulating miRNA profile complements conventional risk factors to identify specific cardiovascular risk patterns among patients receiving maintenance HD.
Topics & Concepts
MedicineHemodialysisInternal medicineConfoundingFramingham Risk ScoreEnd stage renal diseaseClinical endpointDecision treeOncologyDiseaseMyocardial infarctionMachine learningClinical trialComputer scienceMicroRNA in disease regulationCircular RNAs in diseasesCancer-related molecular mechanisms research