Prediction of electroconvulsive therapy response and remission in major depression : meta-analysis
| Autor: | Tom K. Birkenhäger, Bernard Sabbe, Tom Vermeulen, Didier Schrijvers, Seline van den Ameele, Astrid M. Kamperman, Linda van Diermen |
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| Přispěvatelé: | Psychiatry, Clinical sciences, Movement and Sports Training |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male medicine.medical_specialty Electroconvulsive Therapy/statistics & numerical data medicine.medical_treatment MEDLINE behavioral disciplines and activities 03 medical and health sciences 0302 clinical medicine Electroconvulsive therapy Psychotic Disorders/physiopathology Internal medicine Outcome Assessment Health Care mental disorders Medicine Effective treatment Humans In patient Outcome Assessment Health Care/statistics & numerical data Electroconvulsive Therapy Depression (differential diagnoses) Aged Depressive Disorder Major business.industry Remission Induction Odds ratio Middle Aged Prognosis 030227 psychiatry Psychiatry and Mental health Psychotic Disorders Depressive Disorder Major/physiopathology Meta-analysis Severe major depression Female Human medicine business 030217 neurology & neurosurgery |
| Zdroj: | The British journal of psychiatry British Journal of Psychiatry, 212(2), 71-80. Royal College of Psychiatrists |
| ISSN: | 0007-1250 |
| Popis: | BackgroundElectroconvulsive therapy (ECT) is considered to be the most effective treatment in severe major depression. The identification of reliable predictors of ECT response could contribute to a more targeted patient selection and consequently increased ECT response rates.AimsTo investigate the predictive value of age, depression severity, psychotic and melancholic features for ECT response and remission in major depression.MethodA meta-analysis was conducted according to the PRISMA statement. A literature search identified recent studies that reported on at least one of the potential predictors.ResultsOf the 2193 articles screened, 34 have been included for meta-analysis. Presence of psychotic features is a predictor of ECT remission (odds ratio (OR) = 1.47,P= 0.001) and response (OR = 1.69,P< 0.001), as is older age (standardised mean difference (SMD) = 0.26 for remission and 0.35 for response (P< 0.001)). The severity of depression predicts response (SMD = 0.19,P= 0.001), but not remission. Data on melancholic symptoms were inconclusive.ConclusionsECT is particularly effective in patients with depression with psychotic features and in elderly people with depression. More research on both biological and clinical predictors is needed to further evaluate the position of ECT in treatment protocols for major depression.Declaration of interestNone. |
| Databáze: | OpenAIRE |
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