In-hospital risk prediction for post-stroke depression

Authors Eline Lindeman , Thóra Hafsteinsdóttir , Roelof Ettema , Diederick Grobbee , Marieke Schuurmans , Janneke de Man-van Ginkel
Published in Stroke
Publication date 2013
Research groups Proactive care for elderly people living at home
Type Article

Summary

The timely detection of post-stroke depression is complicated by a decreasing length of hospital stay. Therefore, the Post-stroke Depression Prediction Scale was developed and validated. The Post-stroke Depression Prediction Scale is a clinical prediction model for the early identification of stroke patients at increased risk for post-stroke depression. he study included 410 consecutive stroke patients who were able to communicate adequately. Predictors were collected within the first week after stroke. Between 6 to 8 weeks after stroke, major depressive disorder was diagnosed using the Composite International Diagnostic Interview. Multivariable logistic regression models were fitted. A bootstrap-backward selection process resulted in a reduced model. Performance of the model was expressed by discrimination, calibration, and accuracy.

researchcomponents.publicationcontent.personslist.publicationauthors

  • Thóra Hafsteinsdóttir PhD | Researcher | Research group Chronic Diseases
    Thóra Hafsteinsdóttir
    • Researcher
    • Research groups: Proactive care for elderly people living at home
  • Roelof Ettema | Researcher | Methodology of Practice-Based Research | Chronic Diseases
    Roelof Ettema
    • Researcher
    • Research groups: Proactive care for elderly people living at home, Methodology of Practice-Based Research

Language English
Published in Stroke
Year and volume 44 9
Key words depressie, beroerte, diagnose, screening
Page range 2441-2445

Proactive care for elderly people living at home