Artificial Intelligence-Derived Risk Prediction: A Novel Risk Calculator Using Office and Ambulatory Blood Pressure.

Journal: Hypertension (Dallas, Tex. : 1979)
Published Date:

Abstract

BACKGROUND: Quantification of total cardiovascular risk is essential for individualizing hypertension treatment. This study aimed to develop and validate a novel, machine-learning-derived model to predict cardiovascular mortality risk using office blood pressure (OBP) and ambulatory blood pressure (ABP).

Authors

  • Pedro Guimarães
    Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
  • Andreas Keller
    Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany; Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany. Electronic address: andreas.keller@ccb.uni-saarland.de.
  • Michael Böhm
    Uniklinik Köln, Universität zu Köln, Cologne, Germany.
  • Lucas Lauder
    Department of Internal Medicine III, Cardiology, Angiology, Intensive Care Medicine, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany (M.B., L.L., F.M.).
  • Tobias Fehlmann
    Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
  • Luis M Ruilope
    Cardiorenal Translational Laboratory and Hypertension Unit, Institute of Research i+12, (L.M.R., J.S., G.R.-H.), Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Ernest Vinyoles
    La Mina Primary Care Center, University of Barcelona, Spain (E.V.).
  • Manuel Gorostidi
    Department of Nephrology, Hospital Universitario Central de Asturias, REDinREN, Oviedo, Spain (M.G.).
  • Julián Segura
    Cardiorenal Translational Laboratory and Hypertension Unit, Institute of Research i+12, (L.M.R., J.S., G.R.-H.), Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Gema Ruiz-Hurtado
    Cardiorenal Translational Laboratory and Hypertension Unit, Institute of Research i+12, (L.M.R., J.S., G.R.-H.), Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Natalie Staplin
    Medical Research Council Population Health Research Unit, Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, United Kingdom (N.S.).
  • Bryan Williams
  • Alejandro de la Sierra
    Department of Internal Medicine, Hospital Universitario Mútua Terrasa, Universidad de Barcelona, Spain (A.d.l.S.).
  • Felix Mahfoud
    Department of Internal Medicine III, Cardiology, Angiology, Intensive Care Medicine, Universitätsklinikum des Saarlandes, Saarland University, Homburg/Saar, Germany (M.B., L.L., F.M.).