Depression is associated with treatment response trajectories in adults with Prolonged Grief Disorder: A machine learning analysis.

Journal: Journal of affective disorders
Published Date: May 27, 2025

Abstract

BACKGROUND: Although evidence-based Prolonged Grief Disorder treatments (PGDT) exist, pretreatment characteristics associated with differential improvement remain unidentified. To identify clinical factors relevant to optimizing PGDT outcomes, we used unsupervised and supervised machine learning to study treatment effects from a double-blinded, placebo-controlled, randomized clinical trial.

Authors

  • Adam Calderon
    Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA; Department of Psychology, The Pennsylvania State University, University Park, PA, USA.
  • Matthew Irwin
    Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.
  • Naomi M Simon
    Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.
  • M Katherine Shear
    Columbia School of Social Work, Columbia University College of Physicians and Surgeons, New York, NY, USA; Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
  • Christine Mauro
    Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
  • Sidney Zisook
    Department of Psychiatry, University of California, San Diego, USA.
  • Charles F Reynolds
    Department of Psychiatry, University of Pittsburgh School of Medicine, PA, USA.
  • Matteo Malgaroli
    Department of Psychiatry, New York University, Grossman School of Medicine, New York, NY, 10016, USA. matteo.malgaroli@nyulangone.org.

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