STroke imAging pRevention and treatment (START): A longitudinal stroke cohort study: Clinical trials protocol

Leeanne Carey, Crether Sheila, Olivier Salvado, Thomas Linden, Alan Connelly, William Wilson, David Howells, Leonid Churilov, Henry Ma, Tamara Tse, Stephen Rose, Susan Palmer, Pierrick Bougeat, Bruce Campbell, Soren Christensen, S Lance Macaulay, Jenny Favaloro, Victoria O'Collins, Simon McBride, Susan BatesElise Cowley, Helen Dewey, Tissa Wijeratne, Richard Gerraty, Thanh Phan, Bernard Yan, Mark Parsons, Chris Bladin, P Alan Barber, Stephen Read, Andrew Wong, Andrew Lee, Tim Kleinig, Graeme Hankey, David Blacker, Romesh Markus, James Leyden, Martin Krause, Rohan Grimley, Neil Mahant, Jim Jannes, Jonathan Sturm, Stephen Davis, Geoffrey Donnan

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Rationale: Stroke and poststroke depression are common and have a profound and ongoing impact on an individual's quality of life. However, reliable biological correlates of poststroke depression and functional outcome have not been well established in humans. Aims: Our aim is to identify biological factors, molecular and imaging, associated with poststroke depression and recovery that may be used to guide more targeted interventions. Design: In a longitudinal cohort study of 200 stroke survivors, the START - STroke imAging pRevention and Treatment cohort, we will examine the relationship between gene expression, regulator proteins, depression, and functional outcome. Stroke survivors will be investigated at baseline, 24h, three-days, three-months, and 12 months poststroke for blood-based biological associates and at days 3-7, three-months, and 12 months for depression and functional outcomes. A sub-group (n=100), the PrePARE: Prediction and Prevention to Achieve optimal Recovery Endpoints after stroke cohort, will also be investigated for functional and structural changes in putative depression-related brain networks and for additional cognition and activity participation outcomes. Stroke severity, diet, and lifestyle factors that may influence depression will be monitored. The impact of depression on stroke outcomes and participation in previous life activities will be quantified.

Original languageEnglish
Pages (from-to)636-644
Number of pages9
JournalInternational Journal of Stroke
Volume10
Issue number4
DOIs
Publication statusPublished - 1 Jun 2015

Keywords

  • Cohort
  • Cortical thickness
  • Depression
  • Functional neuroimaging
  • Gene expression
  • Stroke

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