Selective serotonin reuptake inhibitors (SSRIs) for stroke recovery.


Journal

The Cochrane database of systematic reviews
ISSN: 1469-493X
Titre abrégé: Cochrane Database Syst Rev
Pays: England
ID NLM: 100909747

Informations de publication

Date de publication:
26 11 2019
Historique:
entrez: 27 11 2019
pubmed: 27 11 2019
medline: 24 4 2020
Statut: epublish

Résumé

Stroke is a major cause of adult disability. Selective serotonin reuptake inhibitors (SSRIs) have been used for many years to manage depression and other mood disorders after stroke. The 2012 Cochrane Review of SSRIs for stroke recovery demonstrated positive effects on recovery, even in people who were not depressed at randomisation. A large trial of fluoxetine for stroke recovery (fluoxetine versus placebo under supervision) has recently been published, and it is now appropriate to update the evidence. To determine if SSRIs are more effective than placebo or usual care at improving outcomes in people less than 12 months post-stroke, and to determine whether treatment with SSRIs is associated with adverse effects. For this update, we searched the Cochrane Stroke Group Trials Register (last searched 16 July 2018), the Cochrane Controlled Trials Register (CENTRAL, Issue 7 of 12, July 2018), MEDLINE (1946 to July 2018), Embase (1974 to July 2018), CINAHL (1982 July 2018), PsycINFO (1985 to July 2018), AMED (1985 to July 2018), and PsycBITE March 2012 to July 2018). We also searched grey literature and clinical trials registers. We included randomised controlled trials (RCTs) that recruited ischaemic or haemorrhagic stroke survivors at any time within the first year. The intervention was any SSRI, given at any dose, for any period, and for any indication. We excluded drugs with mixed pharmacological effects. The comparator was usual care or placebo. To be included, trials had to collect data on at least one of our primary (disability score or independence) or secondary outcomes (impairments, depression, anxiety, quality of life, fatigue, healthcare cost, death, adverse events and leaving the trial early). We extracted data on demographics, type of stroke, time since stroke, our primary and secondary outcomes, and sources of bias. Two review authors independently extracted data from each trial. We used standardised mean differences (SMDs) to estimate treatment effects for continuous variables, and risk ratios (RRs) for dichotomous effects, with their 95% confidence intervals (CIs). We assessed risks of bias and applied GRADE criteria. We identified a total of 63 eligible trials recruiting 9168 participants, most of which provided data only at end of treatment and not at follow-up. There was a wide age range. About half the trials required participants to have depression to enter the trial. The duration, drug, and dose varied between trials. Only three of the included trials were at low risk of bias across the key 'Risk of bias' domains. A meta-analysis of these three trials found little or no effect of SSRI on either disability score: SMD -0.01 (95% CI -0.09 to 0.06; P = 0.75; 2 studies, 2829 participants; moderate-quality evidence) or independence: RR 1.00 (95% CI 0.91 to 1.09; P = 0.99; 3 studies, 3249 participants; moderate-quality evidence). We downgraded both these outcomes for imprecision. SSRIs reduced the average depression score (SMD 0.11 lower, 0.19 lower to 0.04 lower; 2 trials, 2861 participants; moderate-quality evidence), but there was a higher observed number of gastrointestinal side effects among participants treated with SSRIs compared to placebo (RR 2.19, 95% CI 1.00 to 4.76; P = 0.05; 2 studies, 148 participants; moderate-quality evidence), with no evidence of heterogeneity (I We found no reliable evidence that SSRIs should be used routinely to promote recovery after stroke. Meta-analysis of the trials at low risk of bias indicate that SSRIs do not improve recovery from stroke. We identified potential improvements in disability only in the analyses which included trials at high risk of bias. A further meta-analysis of large ongoing trials will be required to determine the generalisability of these findings.

Sections du résumé

BACKGROUND
Stroke is a major cause of adult disability. Selective serotonin reuptake inhibitors (SSRIs) have been used for many years to manage depression and other mood disorders after stroke. The 2012 Cochrane Review of SSRIs for stroke recovery demonstrated positive effects on recovery, even in people who were not depressed at randomisation. A large trial of fluoxetine for stroke recovery (fluoxetine versus placebo under supervision) has recently been published, and it is now appropriate to update the evidence.
OBJECTIVES
To determine if SSRIs are more effective than placebo or usual care at improving outcomes in people less than 12 months post-stroke, and to determine whether treatment with SSRIs is associated with adverse effects.
SEARCH METHODS
For this update, we searched the Cochrane Stroke Group Trials Register (last searched 16 July 2018), the Cochrane Controlled Trials Register (CENTRAL, Issue 7 of 12, July 2018), MEDLINE (1946 to July 2018), Embase (1974 to July 2018), CINAHL (1982 July 2018), PsycINFO (1985 to July 2018), AMED (1985 to July 2018), and PsycBITE March 2012 to July 2018). We also searched grey literature and clinical trials registers.
SELECTION CRITERIA
We included randomised controlled trials (RCTs) that recruited ischaemic or haemorrhagic stroke survivors at any time within the first year. The intervention was any SSRI, given at any dose, for any period, and for any indication. We excluded drugs with mixed pharmacological effects. The comparator was usual care or placebo. To be included, trials had to collect data on at least one of our primary (disability score or independence) or secondary outcomes (impairments, depression, anxiety, quality of life, fatigue, healthcare cost, death, adverse events and leaving the trial early).
DATA COLLECTION AND ANALYSIS
We extracted data on demographics, type of stroke, time since stroke, our primary and secondary outcomes, and sources of bias. Two review authors independently extracted data from each trial. We used standardised mean differences (SMDs) to estimate treatment effects for continuous variables, and risk ratios (RRs) for dichotomous effects, with their 95% confidence intervals (CIs). We assessed risks of bias and applied GRADE criteria.
MAIN RESULTS
We identified a total of 63 eligible trials recruiting 9168 participants, most of which provided data only at end of treatment and not at follow-up. There was a wide age range. About half the trials required participants to have depression to enter the trial. The duration, drug, and dose varied between trials. Only three of the included trials were at low risk of bias across the key 'Risk of bias' domains. A meta-analysis of these three trials found little or no effect of SSRI on either disability score: SMD -0.01 (95% CI -0.09 to 0.06; P = 0.75; 2 studies, 2829 participants; moderate-quality evidence) or independence: RR 1.00 (95% CI 0.91 to 1.09; P = 0.99; 3 studies, 3249 participants; moderate-quality evidence). We downgraded both these outcomes for imprecision. SSRIs reduced the average depression score (SMD 0.11 lower, 0.19 lower to 0.04 lower; 2 trials, 2861 participants; moderate-quality evidence), but there was a higher observed number of gastrointestinal side effects among participants treated with SSRIs compared to placebo (RR 2.19, 95% CI 1.00 to 4.76; P = 0.05; 2 studies, 148 participants; moderate-quality evidence), with no evidence of heterogeneity (I
AUTHORS' CONCLUSIONS
We found no reliable evidence that SSRIs should be used routinely to promote recovery after stroke. Meta-analysis of the trials at low risk of bias indicate that SSRIs do not improve recovery from stroke. We identified potential improvements in disability only in the analyses which included trials at high risk of bias. A further meta-analysis of large ongoing trials will be required to determine the generalisability of these findings.

Identifiants

pubmed: 31769878
doi: 10.1002/14651858.CD009286.pub3
pmc: PMC6953348
doi:

Substances chimiques

Antidepressive Agents, Tricyclic 0
Serotonin Uptake Inhibitors 0
Fluoxetine 01K63SUP8D

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Chief Scientist Office
ID : ETM/417
Pays : United Kingdom

Commentaires et corrections

Type : UpdateOf
Type : CommentIn
Type : UpdateIn

Informations de copyright

Copyright © 2019 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Auteurs

Lynn A Legg (LA)

NHS Greater Glasgow and Clyde Health Board, Royal Alexandra Hospital, Paisley, UK, PA2 9PN.

Russel Tilney (R)

Mater Dei Hospital, Department of Medicine, Msida, Malta.

Cheng-Fang Hsieh (CF)

Kaohsiung Medical University, Division of Geriatrics and Gerontology, Department of Internal Medicine and Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.

Simiao Wu (S)

West China Hospital, Sichuan University, Department of Neurology, Chengdu, China.

Erik Lundström (E)

Uppsala University, Department of Neuroscience, Neurology, Uppsala, Sweden.

Ann-Sofie Rudberg (AS)

Karolinska Institutet, Department of Clinical Neurosciences, Stockholm, Sweden.
Danderyd Hospital, Department of Neurology, Danderyd, Sweden.

Mansur A Kutlubaev (MA)

Bashkir State Medical University, Department of Neurology, Neurosurgery and Medical Genetics, Ufa, Russian Federation.

Martin Dennis (M)

University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, UK.

Babak Soleimani (B)

Royal Infirmary of Edinburgh, Department of Stroke Medicine, 51 Little France Crescent, Edinburgh, UK, EH16 4SA.
Borders General Hospital, Department of General Medicine, Melrose, Scotland, UK.

Amanda Barugh (A)

University of Edinburgh, Department of Geriatric Medicine, Edinburgh, UK.

Maree L Hackett (ML)

The University of Sydney, Sydney School of Public Health, Faculty of Medicine and Health, Sydney, NSW, Australia, 2050.

Graeme J Hankey (GJ)

The University of Western Australia, Medical School, Faculty of Health and Medical Sciences,, 6 Verdun Street, Nedlands, Perth, Western Australia, Australia, 6009.

Gillian E Mead (GE)

University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, UK.

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