gms | German Medical Science

1st International Conference of the German Society of Nursing Science

Deutsche Gesellschaft für Pflegewissenschaft e. V.

04.05. - 05.05.2018, Berlin

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Prognostic value of the prediction scale for depression after stroke: the binational study ValiDePreS

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  • presenting/speaker Julian Hirt - Center for Dementia Care, Institute for Applied Nursing Sciences IPW-FHS, Department of Health, FHS St.Gallen, University of Applied Sciences, St. Gallen, Switzerland
  • Lianne Meijeren - University Medical Centre Utrecht, Julius Center for Health Sciences and Primary Care, Nursing Science, University Medical Center Utrecht
  • Gabriele Meyer - Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg
  • Susanne Saal - Institute for Health and Nursing Science, Faculty of Medicine, Martin Luther University Halle-Wittenberg
  • Janneke M. de Man-van Ginkel - University Medical Centre Utrecht, Julius Center for Health Sciences and Primary Care, Nursing Science, University Medical Center Utrecht

Deutsche Gesellschaft für Pflegewissenschaft e.V. (DGP). 1st International Conference of the German Society of Nursing Science. Berlin, 04.-05.05.2018. Düsseldorf: German Medical Science GMS Publishing House; 2018. Doc18dgpP03

doi: 10.3205/18dgp048, urn:nbn:de:0183-18dgp0481

Veröffentlicht: 30. April 2018

© 2018 Hirt et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.

Gliederung

Text

Background and Purpose: Post-Stroke Depression (PSD) is a common complication. Early treatment might improve recovery. In the Netherlands, the Post-stroke Depression Prediction Scale (DePreS) was developed to predict the risk for PSD during the first week following a stroke. The DePreS has been translated to German, taking the ISPOR criteria into account (DePreS-G). The aim of this study is to determine the prognostic value of the DePreS and the DePreS-G.

Methods: An index test was applied to stroke patients within the first week following a stroke in three stroke units in the Netherlands and Germany (DePreS/DePreS-G). Patients’ inclusion criteria were no severe cognitive and psychiatric disorders at stroke onset and the ability to communicate adequately. After six weeks, a structured diagnostic interview (Composite International Diagnostic Interview) was conducted to detect a PSD (reference test). The researchers were blinded towards the results of the index test. The main outcomes were the negative predictive value, specificity and accuracy of the prediction scale.

Results: A total of 93 stroke patients were included. The estimated sample size was thus fulfilled. The prevalence of PSD was 18.3%. At a cutoff score of ≥3 an appropriate negative predictive value (0.87) with a high specificity (0.95) and accuracy (0.82) was determined.

Conclusions: The DePreS and DePreS-G are suitable for identifying a large number of stroke patients who are not at risk of PSD. Using routine data, the instrument enables clinicians to estimate the risk of PSD in the first week following a stroke.

Note: This study has been registered prospectively under DRKS00011546.