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Definition of treatment-resistant late-life depression: Conclusions from a European Task Force Delphi process

Published online by Cambridge University Press:  02 June 2026

B. Pozuelo Moyano*
Affiliation:
Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Prilly, Switzerland
A. von Gunten
Affiliation:
Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Prilly, Switzerland
C. Mueller
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, United Kingdom South London and Maudsley NHS Foundation Trust, London, UK
R. Yaman-Deveci
Affiliation:
Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Prilly, Switzerland
R. Howard
Affiliation:
Division of Psychiatry, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom
R. Stewart
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, United Kingdom
A.H. Young
Affiliation:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King’s College London, London, United Kingdom Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom
H. Costello
Affiliation:
Division of Psychiatry, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom
S. Bulteau
Affiliation:
CHU Nantes, department of Old Age Psychiatry, Nantes, France UMR INSERM 1246, SPHERE, University of Nantes and University of Tours, Nantes, France
B. Calvet
Affiliation:
Inserm U1094, IRD UMR270, Univ. Limoges, CHU Limoges, EpiMaCT – Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France Centre Jean-Marie Léger, Pôle Universitaire de Psychiatrie de l’Adulte et de la Personne Âgée, d’Addictologie (PUP3A), CH Esquirol, Limoges, France
S. Bonin-Guillaume
Affiliation:
Assistance Publique des Hôpitaux de Marseille, UMR INSERM 1106, Aix-Marseille Université, Marseille, France
N. Hoertel
Affiliation:
AP-HP.Centre, DMU Psychiatrie et Addictologie, Corentin Celton Hospital, Issy-les-Moulineaux, France INSERM UMR_1266, Institut de Psychiatrie et Neuroscience de Paris, Paris, France Université Paris Cité, Faculté de Santé, UFR de Médecine, Paris, France
G.-H. Robert
Affiliation:
Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Centre Hospitalier Guillaume Régnier, 108 Bd Général Leclerc, 35000, Rennes, France Empen, U1288, IRISA UMR 6074, Campus Beaulieu, Université de Rennes, France
J. Roche
Affiliation:
Service of Old Age Psychiatry, Department of Geriatry, University Hospital of Lille, Lille, France Regional Centre of Psychogeriatry and Old Age Psychiatry (CR3PA), Lille, France
A. Lepetit
Affiliation:
Hospices Civils de Lyon, Hôpital des Charpennes, Villeurbanne, France Université Claude Bernard Lyon 1, CNRS, INSERM, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, F-69500, Bron, France
S. Louchart de la Chapelle
Affiliation:
RAINIER III Clinical Gerontology Center, Memory Clinic and Clinical Research Unit, Princess Grace Hospital, Monaco
L.F. Agüera-Ortiz
Affiliation:
Department of Psychiatry, Instituto de Investigación Sanitaria (imas12), Hospital Universitario 12 de Octubre, & CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
J. Pla-Vidal
Affiliation:
Department of Psychiatry and Medical Psychology, Clínica Universidad de Navarra, Madrid, Spain
F. Bouckaert
Affiliation:
KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
R.C. Oude Voshaar
Affiliation:
Department of Psychiatry, University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
L. Fernandes
Affiliation:
RISE-Health, Department of Clinical Neuroscience and Mental Health, Faculty of Medicine, University of Porto, Porto, Portugal Psychiatry Service, Unidade Local de Saúde (ULS) São João, Porto, Portugal
O. Vasiliu
Affiliation:
Discipline of Psychiatry, Clinical Neurosciences Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
M. Dominiak
Affiliation:
Institute of Psychiatry and Neurology, ul. Sobieskiego 9, 02-957 Warsaw, Poland
J. Priller
Affiliation:
Neuropsychiatry and Laboratory of Molecular Psychiatry, Charité – Universitätsmedizin Berlin, and German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany Department of Psychiatry and Psychotherapy and German Center for Mental Health (DZPG), School of Medicine and Health, Technical University of Munich, Munich, Germany University of Edinburgh and UK Dementia Research Institute, Edinburgh, United Kingdom
M. Preisig
Affiliation:
Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
F. Triolo
Affiliation:
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
M. Belvederi Murri
Affiliation:
Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy Integrated Department of Mental Health and Pathological Addictions, Local Health Trust of Ferrara, Ferrara, Italy
E. Aakhus
Affiliation:
Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
S. Ranjbar
Affiliation:
Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Prilly, Switzerland Department of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
K. Swierkosz-Lenart
Affiliation:
Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Prilly, Switzerland
V. Orgeta
Affiliation:
Division of Psychiatry, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom
P. Vandel
Affiliation:
Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Prilly, Switzerland
*
Corresponding author: Beatriz Pozuelo Moyano; Email: beatriz.pozuelo-moyano@chuv.ch

Abstract

Background

Treatment-Resistant Late-Life Depression (TRLLD) represents a significant clinical and research challenge. Studies on TRLLD use heterogeneous diagnostic criteria limiting the interpretation of results and the development of clinical guidelines.

This study aimed to establish expert consensus on the core components and definition of TRLLD through a Delphi process conducted by a European Task Force of clinicians and researchers with experience in late-life depression.

Methods

We conducted an electronic Delphi study with 30 European experts to identify key definitional elements of TRLLD. In the 1st survey round (SR), participants responded to open-ended questions on definitions of TRLLD. Responses informed the development of 70 structured items for 2nd SR, involving 58 closed (yes/no) items and 12 multiple-choice questions across six domains: symptom presentation, cognitive impairment, comorbidities, pharmacotherapy, treatment adherence, and psychosocial factors. Consensus was defined as ≥70% agreement. In 3rd SR, participants reviewed comments and validated the final categorical definition, the operational staging model, and the derived decision algorithm for TRLLD.

Results

Consensus was reached for 72.4% of the 58 closed items. Experts agreed that the categorical definition of TRLLD should correspond to major depressive disorder in individuals aged ≥65 years who show insufficient response to two adequate antidepressant treatments, in the absence of dementia and medical conditions that could account for depressive symptoms. An operational staging model and decision-making algorithm were developed from consensus items.

Conclusion

This study provides the first European consensus definition of TRLLD and highlights the need for age-adapted diagnostic criteria that reflect the clinical complexity of depression in older adults.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of European Psychiatric Association
Figure 0

Table 1. Expert selection criteria and implementation, based on the procedure outlined by Gill et al. [20]Table 1. long description.

Figure 1

Figure 1. Delphi method flowchart.Figure 1. long description.

Figure 2

Table 2. Demographics and professional background of the Delphi participantsTable 2. long description.

Figure 3

Table 3. 1st SR open-ended questionsTable 3. long description.

Figure 4

Table 4. Consensus-endorsed statements from the 2nd SR identifying contextual determinants relevant to the definition of TRLLDTable 4. long description.

Figure 5

Table 5. Non-consensus statements in the 2nd SRTable 5. long description.

Figure 6

Table 6. Distribution of responses to selected multiple-choice questions on key operational parameters relevant to the definition of TRLLD (2nd SR)Table 6. long description.

Figure 7

Table 7. Summary of the free-text comments by thematic category in the 2nd SRTable 7. long description.

Figure 8

Table 8. Summary of the expert panel’s consensus on the core definitional criteria for TRLLD (categorical definition)Table 8. long description.

Figure 9

Table 9. Adaptation of the Thase and Rush staging model for TRLLD (European Task Force consensus)Table 9. long description.

Figure 10

Figure 2. Consensus-based decision algorithm for defining TRLLD (categorical definition). Note: This algorithm operationalises the categorical TRLLD definition (minimum threshold), which corresponds to Stage II in the operational staging model presented in Table 9. It was derived from statements reaching consensus and was subsequently reviewed and refined by the expert panel in the 3rd SR.Figure 2. long description.

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