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In-hospital risk prediction for post-stroke depression

Development and validation of the Post-stroke Depression Prediction Scale

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In-hospital risk prediction for post-stroke depression

Development and validation of the Post-stroke Depression Prediction Scale

Rechten: Alle rechten voorbehouden

Samenvatting

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.

OrganisatieHogeschool Utrecht
AfdelingKenniscentrum Innovatie van Zorgverlening
LectoraatChronisch Zieken
Gepubliceerd inStroke Vol. 44, Uitgave: 9, Pagina's: 2441-2445
Jaar2013
TypeArtikel
ISSN0039-2499
TaalEngels

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