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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 Gezond en Duurzaam Leven
Kenniscentrum Innovatie van Zorgverlening
LectoraatChronisch Zieken
Gepubliceerd inStroke Vol. 44, Uitgave: 9, Pagina's: 2441-2445
Jaar2013
TypeArtikel
DOI10.1161/STROKEAHA.111.000304
TaalEngels

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