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 |
| 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.
On this publication contributed
| Language | Engels |
|---|---|
| Published in | Stroke |
| Year and volume | 44 9 |
| Key words | depressie, beroerte, diagnose, screening |
| Page range | 2441-2445 |
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