||Janneke Man-van Ginkel, de; ThÃ³ra HafsteinsdÃ³ttir; Eline Lindeman; Roelof G.A. Ettema; Diederick Grobbee; Marieke J. Schuurmans
||Hogeschool Utrecht, Kenniscentrum Innovatie van Zorgverlening
||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.
||depressie, beroerte, diagnose, screening
||44 nr. 9