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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.
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.
Background:
Cognitive impairment and depressive symptoms are highly prevalent after Intracerebral Hemorrhage (ICH). We leveraged Latent Profile Analysis (LPA) to identify profiles for cognitive decline and depression onset after ICH. We also investigated differences in clinical, genetic and neuroimaging characteristics across patients' profiles.
Methods:
We analyzed data from the ICH study conducted at Massachusetts General Hospital between January 1998 and December 2019. We collected information from electronical health records, follow-up interviews, CT and MRI imaging, and APOE genotype. We conducted LPA and multinomial logistic regression analyses to: 1) identify distinct profiles for cognitive decline and depression onset after ICH; 2) identify clinical, neuroimaging and genetic factors predicting individuals' likelihood to express a specific profile.
Results:
We followed 784 ICH survivors for a median of 45.8 months. We identified four distinct profiles in cognitive and depressive symptoms after ICH: low depression and dementia risk, early-onset depression and dementia, late-onset depression and dementia, high depression with low dementia risk. Cerebral small vessel disease severity and APOE genotype were specifically associated with the late-onset profile (both p < 0.05). Acute hematoma characteristics (size, intraventricular extension) and functional disability were specifically associated with the early-onset profile (all p < 0.05).
Conclusion:
We identified four distinct profiles for cognitive and depressive symptoms after ICH, each displaying specific associations with individual patients' clinical, genetic and neuroimaging data. These associations reflect separate biological mechanisms influencing dementia and depression risk after ICH. Our findings support employing LPA in future ICH studies, and is likely applicable to stroke survivors at large.
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