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Clinical factors associated with relapse in depression in a sample of UK primary care patients who have been on long-term antidepressant treatment

Clinical factors associated with relapse in depression in a sample of UK primary care patients who have been on long-term antidepressant treatment
Clinical factors associated with relapse in depression in a sample of UK primary care patients who have been on long-term antidepressant treatment

Background: this paper investigates whether age of onset of depression, duration of the last episode, number of episodes, and residual symptoms of depression and anxiety are associated with depression relapse in primary care patients who have been on long-term maintenance antidepressant treatment and no longer meet ICD10 criteria for depression.

Methods: an observational cohort using data from ANTLER (N = 478), a double-blind placebo-controlled trial. The primary outcome was time to relapse using the retrospective CIS-R. Participants were followed for 12 months.

Results: primary outcome was available for 468 participants. Time to relapse in those with more than five previous episodes of depression was shorter, hazard ratio (HR) 1.84 (95% confidence interval [CI] 1.23-2.75) compared to people with two episodes; HR 1.57 (95% CI 1.01-2.43) after adjustment. The residual symptoms of depression at baseline were also associated with increased relapse: HR 1.05 (95% CI 1.01-1.09) and HR 1.06 (95% CI 1.01-1.12) in the adjusted model. There was evidence of reduced rate of relapse in older age of onset group: HR 0.86 (95% CI 0.78-0.95); HR attenuated after adjustment HR 0.91 (95% CI 0.81-1.02). There was no evidence of an association between duration of the current episode and residual anxiety symptoms with relapse.

Conclusions: the number of previous episodes and residual symptoms of depression were associated with increased likelihood of relapse. These factors could inform joint decision making when patients are considering tapering off maintenance antidepressant treatment or considering other treatments to prevent relapse.

antidepressants, clinical factors, depression, primary care, relapse
0033-2917
Duffy, Larisa
68ab154c-9825-44ad-8385-b3dcadf30651
Lewis, Gemma
736f9361-ca4d-4347-bc75-18d21fda5052
Marston, Louise
258cc87f-2cf7-49de-9498-fc659a5ffde7
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Kessler, David
3659e526-e667-46cb-bd9c-02bce7d58d41
Moore, Michael
1be81dad-7120-45f0-bbed-f3b0cc0cfe99
Wiles, Nicola
fcec2769-de78-4b86-b9c1-eab754a02837
Lewis, Glyn
11aed8f6-3905-455e-8e89-34147a5e5d26
Duffy, Larisa
68ab154c-9825-44ad-8385-b3dcadf30651
Lewis, Gemma
736f9361-ca4d-4347-bc75-18d21fda5052
Marston, Louise
258cc87f-2cf7-49de-9498-fc659a5ffde7
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Kessler, David
3659e526-e667-46cb-bd9c-02bce7d58d41
Moore, Michael
1be81dad-7120-45f0-bbed-f3b0cc0cfe99
Wiles, Nicola
fcec2769-de78-4b86-b9c1-eab754a02837
Lewis, Glyn
11aed8f6-3905-455e-8e89-34147a5e5d26

Duffy, Larisa, Lewis, Gemma, Marston, Louise, Kendrick, Tony, Kessler, David, Moore, Michael, Wiles, Nicola and Lewis, Glyn (2023) Clinical factors associated with relapse in depression in a sample of UK primary care patients who have been on long-term antidepressant treatment. Psychological Medicine. (doi:10.1017/S0033291723002659).

Record type: Article

Abstract

Background: this paper investigates whether age of onset of depression, duration of the last episode, number of episodes, and residual symptoms of depression and anxiety are associated with depression relapse in primary care patients who have been on long-term maintenance antidepressant treatment and no longer meet ICD10 criteria for depression.

Methods: an observational cohort using data from ANTLER (N = 478), a double-blind placebo-controlled trial. The primary outcome was time to relapse using the retrospective CIS-R. Participants were followed for 12 months.

Results: primary outcome was available for 468 participants. Time to relapse in those with more than five previous episodes of depression was shorter, hazard ratio (HR) 1.84 (95% confidence interval [CI] 1.23-2.75) compared to people with two episodes; HR 1.57 (95% CI 1.01-2.43) after adjustment. The residual symptoms of depression at baseline were also associated with increased relapse: HR 1.05 (95% CI 1.01-1.09) and HR 1.06 (95% CI 1.01-1.12) in the adjusted model. There was evidence of reduced rate of relapse in older age of onset group: HR 0.86 (95% CI 0.78-0.95); HR attenuated after adjustment HR 0.91 (95% CI 0.81-1.02). There was no evidence of an association between duration of the current episode and residual anxiety symptoms with relapse.

Conclusions: the number of previous episodes and residual symptoms of depression were associated with increased likelihood of relapse. These factors could inform joint decision making when patients are considering tapering off maintenance antidepressant treatment or considering other treatments to prevent relapse.

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Accepted/In Press date: 18 August 2023
e-pub ahead of print date: 27 September 2023
Additional Information: Funding Information: We are grateful to all the patients that took part in the ANTLER trial. We thank the staff in participating general practitioner surgeries for their help with recruitment. We acknowledge the support of the National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre (BRC) and the NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. The views expressed are those of the authors and not necessarily those of the NIHR, NHS or the Department of Health and Social Care. Publisher Copyright: © The Author(s), 2023. Published by Cambridge University Press.
Keywords: antidepressants, clinical factors, depression, primary care, relapse

Identifiers

Local EPrints ID: 485292
URI: http://eprints.soton.ac.uk/id/eprint/485292
ISSN: 0033-2917
PURE UUID: c800cd44-a062-4956-b5b0-7a2b76ab98ba
ORCID for Tony Kendrick: ORCID iD orcid.org/0000-0003-1618-9381
ORCID for Michael Moore: ORCID iD orcid.org/0000-0002-5127-4509

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Date deposited: 04 Dec 2023 17:31
Last modified: 18 Mar 2024 03:00

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Contributors

Author: Larisa Duffy
Author: Gemma Lewis
Author: Louise Marston
Author: Tony Kendrick ORCID iD
Author: David Kessler
Author: Michael Moore ORCID iD
Author: Nicola Wiles
Author: Glyn Lewis

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