Latent profile analysis of cognitive decline and depressive symptoms after intracerebral hemorrhage

Sophia Keins1,2,3,4,5, Jessica R Abramson1,2,3,5, Juan Pablo Castello1,2,3

  • 1Department of Neurology, Massachusetts General Hospital, 100 Cambridge Street - Room 2064, Boston, MA, 02114, USA.

BMC Neurology
|December 11, 2021
PubMed

Insights

Researchers identified four distinct patient profiles for cognitive decline and depression after intracerebral hemorrhage (ICH). These profiles, linked to specific clinical, genetic, and imaging factors, offer insights into dementia and depression risks post-ICH.

Area of Science:

  • Neurology
  • Neuroscience
  • Psychiatry

Background:

  • Cognitive impairment and depressive symptoms are common after intracerebral hemorrhage (ICH).
  • Latent Profile Analysis (LPA) is a statistical method used to identify distinct subgroups within a population.
  • Understanding these profiles is crucial for targeted interventions and improved patient outcomes.

Purpose of the Study:

  • To identify distinct profiles of cognitive decline and depression onset following ICH using LPA.
  • To investigate the clinical, genetic, and neuroimaging factors associated with each identified profile.
  • To explore the underlying biological mechanisms influencing dementia and depression risk after ICH.

Main Methods:

  • Analysis of data from 784 ICH survivors (Massachusetts General Hospital, 1998-2019).
  • Utilized electronic health records, interviews, CT/MRI imaging, and APOE genotyping.
  • Applied LPA and multinomial logistic regression to identify patient profiles and associated factors.

Main Results:

  • Four distinct profiles emerged: low risk, early-onset depression/dementia, late-onset depression/dementia, and high depression/low dementia risk.
  • Late-onset profile associated with cerebral small vessel disease severity and APOE genotype.
  • Early-onset profile linked to acute hematoma characteristics and functional disability.

Conclusions:

  • Four unique profiles for cognitive and depressive symptoms post-ICH were identified.
  • Specific clinical, genetic, and neuroimaging factors correlate with each profile, suggesting distinct biological pathways.
  • LPA is a valuable tool for future ICH research and may apply to broader stroke populations.
Abstract