In-Hospital Risk Prediction for Post-stroke Depression | Zendy

Janneke M. de Manvan Ginkel | Zendy; Thóra B. Hafsteinsdøttir | Zendy; Eline Lindeman | Zendy; Roelof Ettema | Zendy; Diederick E. Grobbee | Zendy; Marieke J. Schuurmans | Zendy

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In-Hospital Risk Prediction for Post-stroke Depression

Author(s) -

Janneke M. de Manvan Ginkel,

Thóra B. Hafsteinsdøttir,

Eline Lindeman,

Roelof Ettema,

Diederick E. Grobbee,

Marieke J. Schuurmans

Publication year - 2013

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.111.000304

Subject(s) - medicine , stroke (engine) , logistic regression , depression (economics) , post stroke depression , receiver operating characteristic , angina , physical therapy , framingham risk score , activities of daily living , disease , myocardial infarction , mechanical engineering , economics , macroeconomics , engineering

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.

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