Accelerated Aging in LMNA Mutations Detected by Artificial Intelligence ECG-Derived Age.

Journal: Mayo Clinic proceedings
PMID: 36775737

Abstract

OBJECTIVE: To demonstrate early aging in patients with lamin A/C (LMNA) gene mutations after hypothesizing that they have a biological age older than chronological age, as such a finding impacts care.

Authors

  • Shahar Shelly
    Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Rambam Medical Center, Haifa, Israel.
  • Francisco Lopez-Jimenez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Audry Chacin-Suarez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Michal Cohen-Shelly
    Department of Cardiovascular Medicine Mayo Clinic Rochester MN.
  • Jose R Medina-Inojosa
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • Suraj Kapa
    Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Zachi Attia
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Anwar A Chahal
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Virend K Somers
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Paul A Friedman
    Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Margherita Milone
    Department of Neurology, Mayo Clinic, Rochester, MN, USA. Electronic address: milone.margherita@mayo.edu.

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