In-hospital risk prediction for post-stroke depression

Authors Janneke de Man-van Ginkel , Thóra Hafsteinsdóttir , Eline Lindeman , Roelof Ettema , Diederick Grobbee , Marieke Schuurmans
Published in Stroke
Publication date 2013
Research groups Chronic Diseases
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.

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Language English
Published in Stroke
Year and volume 44 9
ISBN/ISSN URN:ISSN:0039-2499
Key words depressie, beroerte, diagnose, screening
Page range 2441-2445

Chronic Diseases