Impact of heart failure on reoperation in adult congenital heart disease: An innovative machine learning model.

Journal: The Journal of thoracic and cardiovascular surgery
PMID: 37776991

Abstract

OBJECTIVES: The study objectives were to evaluate the association between preoperative heart failure and reoperative cardiac surgical outcomes in adult congenital heart disease and to develop a risk model for postoperative morbidity/mortality.

Authors

  • Elaine M Griffeth
    Department of Cardiovascular Surgery, Mayo Clinic, Rochester, Minn.
  • Elizabeth H Stephens
    Department of Cardiovascular Surgery, Mayo Clinic, Rochester, Minn.
  • Joseph A Dearani
    From Divisions of Cardiovascular Surgery (R.M.S., A.T., H.M.B., R.C.D., J.A.D.), Anesthesiology (W.M.), Cardiovascular Diseases (R.A.N., H.I.M., M.E.-S.), and Biomedical Statistics and Informatics (Z.L.), Mayo Clinic, Rochester, MN.
  • Jacob T Shreve
    Department of Oncology, Mayo Clinic, Rochester, MN.
  • Donnchadh O'Sullivan
    Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minn.
  • Alexander C Egbe
    Division of Structural Heart Disease, Mayo Clinic, Rochester, Minn.
  • Heidi M Connolly
    Depertment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
  • Austin Todd
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minn.
  • Luke J Burchill
    Division of Structural Heart Disease, Mayo Clinic, Rochester, Minn. Electronic address: burchill.luke@mayo.edu.

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