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A Middle Cerebral Artery Occlusion Technique for Inducing Post-stroke Depression in Rats
Published on: May 22, 2019
Factors Associated With New-Onset Depression After Stroke
Joel Salinas1, Alexa Beiser1, Jayandra J Himali1
1From the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (JS, JR); The Framingham Heart Study, Boston (AB, JJH, SS); the Department of Biostatistics, Boston University School of Medicine, Boston (AB); the Department of Neurology, Boston University School of Medicine, Boston (AB, SS); and the Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston (ECD).
Most stroke survivors developing depression had no prior history. Female sex, older age, smoking, and functional dependence were linked to new-onset post-stroke depression, informing targeted prevention strategies.
Area of Science:
- Neurology
- Psychiatry
- Public Health
Background:
- Post-stroke depression is a common complication affecting recovery and outcomes.
- Identifying individuals at high risk for depression post-stroke is crucial for timely intervention.
- Prestroke mental health status and lifestyle factors may influence depression risk after stroke.
Purpose of the Study:
- To identify stroke survivors at risk for depression who could benefit from early preventive strategies.
- To examine the association between prestroke factors and new-onset depression in stroke survivors.
- To inform predictive modeling for targeted interventions in the acute-subacute poststroke period.
Main Methods:
- Analysis of 118 Framingham Heart Study stroke survivors.
- Longitudinal assessment of prestroke depression history.
- Examination of demographic, lifestyle, and functional factors associated with poststroke depression.
Main Results:
- Most stroke survivors who developed poststroke depression had no history of depressive symptoms 5 years prior to their stroke.
- Female sex, advanced age, prestroke smoking, and functional dependence were significantly associated with new-onset poststroke depression.
- These factors highlight the importance of prestroke characteristics in predicting depression after stroke.
Conclusions:
- Prestroke factors, including psychosocial and behavioral determinants, are critical for identifying individuals at risk for poststroke depression.
- Characterizing prestroke factors can inform predictive models for targeted preventive trials.
- Early, targeted preventive strategies in the acute-subacute poststroke period may improve stroke outcomes by addressing new-onset depression.
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