Skip to main content
European Psychiatry logoLink to European Psychiatry
. 2026 Jun 2;69(1):e68. doi: 10.1192/j.eurpsy.2026.12228

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

B Pozuelo Moyano 1,✉, A von Gunten 1, C Mueller 2,3, R Yaman-Deveci 1, R Howard 4, R Stewart 2, AH Young 2,5, H Costello 4, S Bulteau 6,7, B Calvet 8,9, S Bonin-Guillaume 10, N Hoertel 11,12,13, G-H Robert 14,15, J Roche 16,17, A Lepetit 18,19, S Louchart de la Chapelle 20, LF Agüera-Ortiz 21, J Pla-Vidal 22, F Bouckaert 23,24, RC Oude Voshaar 25, L Fernandes 26,27, O Vasiliu 28, M Dominiak 29, J Priller 30,31,32, M Preisig 33, F Triolo 34,35, M Belvederi Murri 36,37, E Aakhus 38, S Ranjbar 1,39, K Swierkosz-Lenart 1, V Orgeta 4, P Vandel 1
PMCID: PMC13359010  PMID: 42227327

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.

Keywords: definitional criteria, European consensus, TRLLD

Introduction

Depression is common among older adults, with a 12-month prevalence of around 5% for DSM-5 major depressive disorder (MDD) among individuals aged 65 and older [1]. It is a leading cause of disability and preventable morbidity worldwide [2–5]. Despite advances in treatment options for late-life depression (LLD), response rates are still strikingly low: only about half of older adults achieve a meaningful response to antidepressant medications [6].

Treatment-resistant late-life depression (TRLLD) is a leading reason for consultation in psychiatry, geriatric medicine, and primary care [7]. It causes a substantial healthcare and economic burden [7, 8] and is associated with increased mortality, including suicide, compared with non-resistant LLD patients [9]. TRLLD often co-occurs with multiple somatic diseases and has been linked to incident dementia [9–11]. With the rapid ageing of the European population [12], extending the knowledge of clinical features and management of TRLLD is a public health priority.

Current research is hindered by the absence of a consistent framework regarding its diagnostic definition, which limits comparability across studies and reduces the applicability of clinical evidence [9, 13–17]. This heterogeneity is reflected in randomised clinical trials (RCTs): among TRLLD RCTs conducted to date, approximately half define resistance as non-response to a single antidepressant trial, while the other half define it as non-response to two treatments, making the overall results difficult to interpret [14].

One of the operational staging models commonly used to define treatment-resistant depression is the Thase and Rush model (1997), which grades resistance according to the number and type of failed treatment steps, but was originally developed for the general adult population, rather than being specific to LLD [18]. More recently, Patrick et al. (American NNDC Geriatric Mood Disorders Task Group, 2024) proposed a definition of TRLLD based on the presence of MDD in adults aged ≥60 years (with age of onset specified), where MDD is the primary diagnosis (i.e., not secondary to dementia or another medical condition) and there is inadequate response to ≥2 adequate antidepressant trials or to a course of ECT or rTMS, with treatment adequacy judged against accepted dose and duration standards [9]. However, substantial variability in expert opinion persists regarding core components of TRLLD, including how to evaluate adherence to pharmacological treatment, how to account for the high burden of physical health comorbidities, and which treatment modalities – pharmacological and non-pharmacological – should be considered when determining resistance.

Given the absence of consensus and the multidimensional nature of TRLLD, a Delphi process is particularly suitable for integrating expert judgment. This position paper reports the findings of a Delphi study conducted by a European panel of clinicians and researchers with extensive experience in TRLLD. The aim was to systematically assess the current views and establish consensus on the essential definitional criteria of TRLLD.

Methods

Study design

We conducted an electronic Delphi (e-Delphi) study to systematically synthesise expert opinions and reach an informed consensus on the resistance criteria for depression in older people [19].

Sample

Steering committee

The steering committee for this e-Delphi study was based in Switzerland and the UK, and comprised four members: three clinical academic old-age psychiatrists (BPM, AvG, and PV), and one academic psychologist (VO). The committee was responsible for overseeing the design of the study. Monthly meetings were held to maintain study rigour and manage data collection.

Selection of experts

Clear selection criteria were applied to minimise researcher bias based on the procedure outlined by Gill et al. [20] (Table 1).

Table 1.

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

Table 1. long description.

Selection criteria How it was implemented in this study
Identifying the most appropriate categories of experts for the panel
  • We identified experts in old-age psychiatry, geriatrics, psychology, neurology, and related fields with expertise in LLD.
  • The experts were selected for clinical or research experience in old-age psychiatry and/or geriatrics.
  • Our recruitment strategy aimed to achieve broad European geographical representation, thereby enriching the panel with diverse perspectives on TRLLD.
Identifying experts
  • Names were compiled from various sources, including previous research participation [14], publications on LLD or TRLLD, and membership of national or European professional associations or societies.
  • Most expert panellists were independent academic clinicians and reported no relevant conflicts of interest.
  • The main coordination of the Delphi study was undertaken by a steering committee comprised of independent researchers.
Contacting individuals
  • Experts were contacted and invited to nominate additional professionals whom they believed could provide valuable insights. This snowball sampling approach was used to ensure a broad and diverse pool of expertise.
Creating sub-lists for each stakeholder group
  • Experts were grouped according to professional background, including psychology, geriatrics, psychiatry, neurology, and old-age psychiatry.
Inviting the experts
  • We aimed to assemble a convenience sample of at least 30 experts.

Recruitment procedure

We emailed invitation letters to 30 experts from 14 European countries. Interested parties could access the questionnaire via a direct URL link.

Survey instrument and data collection procedures

The tools Google Forms (for the 1st SR) and SurveyMonkey® (for the 2nd SR) were employed. Each e-Delphi SR remained open for a minimum of 4 weeks [20].

Delphi survey rounds

We started with a 1st SR using open questions, followed by a 2nd SR with a high proportion of closed questions, including contextual determinants relevant to the definition of TRLLD. For the 2nd SR, the consensus threshold was defined a priori, specifying that a minimum of 70% agreement would be required to consider an item as having reached consensus. Delphi methodology does not prescribe a single universally required level of agreement, and consensus thresholds should be predefined and justified according to the study’s aims [21]. We selected a ≥70% threshold, consistent with previous psychiatric Delphi research on depression-related topics, in which similar agreement thresholds have been used to define or support consensus [22, 23]. We concluded with a 3rd SR, in which all Delphi panel members were invited to review and validate the final core definitional criteria for TRLLD (Figure 1). An explanatory email was sent to participants before each SR.

Figure 1.

A vertical flowchart detailing a research project timeline from 2024 to January 2026, including three survey rounds on T R L L D. See long description.

Delphi method flowchart.

Figure 1. long description.

Measures

In order to capture the current criteria and heterogeneity in practice, as well as global perspectives (Table 2), in the 1st SR, the expert panel responded to six open questions (Table 3), focusing on defining contextual determinants relevant to the definition of TRLLD [24]. These responses informed the development of 70 questions for the 2nd SR, comprising 58 closed questions (yes/no or relevant/not relevant) and 12 open or multiple-choice questions. These questions aimed to refine and consolidate the previously gathered perspectives. The 70 items were organised into six thematic sections: (1) global definition and clinical presentation, (2) co-occurrence of cognitive impairment, dementia, and vascular depression, (3) co-occurrence of other physical and mental comorbidities, (4) pharmacokinetics, pharmacodynamics, and drug interactions, (5) treatment adherence and tolerance, and (6) social and psychological factors. Each section included a final free-text comment field. Four additional demographic questions were included. The questions were pretested by the steering committee and additional volunteer psychiatrists and research assistants at Lausanne University Hospital. Consensus was defined as the agreement of at least 70% in the closed questions [21].

Table 2.

Demographics and professional background of the Delphi participants

Table 2. long description.

Item 1st SR (n = 30) 2nd SR (n = 24) Experts not completing 2nd SR (n = 6)
Primary professional background
Psychiatry (general) 16 (53.3%) 13 (54.2%) 3 (50.0%)
Old age psychiatry* 10 (33.3%) 7 (29.2%) 3 (50.0%)
Geriatrics 2 (6.7%) 2 (8.3%) 0 (0.0%)
Neurology* 1 (3.3%) 1 (4.2%) 0 (0.0%)
Psychology 1 (3.3%) 1 (4.2%) 0 (0.0%)
Years of professional experience
6–9 years 3 (10.0%) 3 (12.5%) 0 (0.0%)
10–20 years 12 (40.0%) 12 (50.0%) 0 (0.0%)
>20 years 15 (50.0%) 9 (37.5%) 6 (100.0%)
Clinical degree/academic background
MD (no PhD) 11 (36.7%) 9 (37.5%) 2 (33.3%)
PhD (with or without MD) 19 (63.3%) 15 (62.5%) 4 (66.7%)
Country of participants
Belgium 1 (3.3%) 1 (4.2%) 0 (0.0%)
England 6 (20.0%) 4 (16.7%) 2 (33.3%)
France 7 (23.3%) 5 (20.8%) 2 (33.3%)
Germany 1 (3.3%) 1 (4.2%) 0 (0.0%)
Italy 1 (3.3%) 1 (4.2%) 0 (0.0%)
Monaco 1 (3.3%) 0 (0.0%) 1 (16.7%)
Netherlands 1 (3.3%) 1 (4.2%) 0 (0.0%)
Norway 1 (3.3%) 1 (4.2%) 0 (0.0%)
Poland 1 (3.3%) 1 (4.2%) 0 (0.0%)
Portugal 1 (3.3%) 1 (4.2%) 0 (0.0%)
Romania 1 (3.3%) 1 (4.2%) 0 (0.0%)
Spain 2 (6.7%) 2 (8.3%) 0 (0.0%)
Sweden 1 (3.3%) 1 (4.2%) 0 (0.0%)
Switzerland 5 (16.7%) 4 (16.7%) 1 (16.7%)
*

Some participants reported dual specialties (e.g., Psychiatry & Geriatrics; Psychiatry & Neurology). For clarity, these were grouped under the most relevant primary category (Old age psychiatry or Neurology, respectively). Psychology participant was PhD (no MD).

Table 3.

1st SR open-ended questions

Table 3. long description.

Question
How would you define treatment-resistant late-life depression (TRLLD)?
How many ineffective treatment trials should be required to define treatment resistance?
Which classes of treatments should be considered when evaluating an unsuccessful attempt to treat late-life depression?
Do you think unsuccessful psychological treatments should be included when defining TRLLD?
Should the biological causes and mechanisms of disease investigations be included when defining TRLLD?
Are there any criteria for defining treatment-resistant depression that should be specifically considered in the older population compared with the adult population?

The materials provided to the panel were primarily informed by a recent systematic review conducted by some members of the Task Force (covering the literature up to March 2024) [14]. The study was conducted in accordance with the Conducting and Reporting Delphi Studies (CREDES) guidelines (Supplementary Table S1) [25], thereby ensuring methodological transparency and replicability.

Participant feedback

At the end of the 1st SR and 2nd SR, all panellists received an anonymised summary of aggregate results (item-level agreement percentages) and synthesised qualitative comments from the free-text fields. At the end of the 3rd SR, participants received feedback on their comments regarding the categorical definition, the operational staging model, and the decision algorithm, either through comments in the manuscript or via email.

Results

The study was conducted from January 2025 to January 2026. The characteristics of the panel in terms of medical specialty, professional experience, country of practice, and academic background in the 1st and 2nd SR, as well as those of the non-completers of the 2nd SR, are presented in Table 2.

First survey round

First survey round findings

All panel members completed the 1st SR questions. Overall, 70% of the panel recommended that two unsuccessful antidepressant trials were necessary to define TRLLD. Participants were then asked whether unsuccessful psychological treatments should be included in defining treatment resistance; 37% supported the inclusion of this. Additionally, 57% of participants emphasised the importance of considering the biological causes and mechanisms of the disease in this context.

Late-life specific considerations informing the second survey round

At the end of the 1st SR, participants were invited to propose criteria for defining treatment-resistant depression that should be specifically considered in the older population. A total of 13 experts highlighted comorbidities and medical complexity, and 13 focused on cognitive impairment and dementia-related comorbidities. Eight participants referenced pharmacokinetic, pharmacodynamic, and dosing challenges. Six noted the atypical symptom presentation and diagnostic difficulties in this population. Six proposed adopting criteria based on existing adult guidelines. Four emphasised polypharmacy and drug interactions, four cited treatment adherence and tolerance, and four identified social and psychological factors as important considerations. These insights served as the foundation for constructing the 2nd SR of structured questions on contextual determinants relevant to the definition of TRLLD.

Second survey round

A total of 80% (24/30) of participants completed the 2nd SR. Consensus was achieved for 72.4% of the closed questions. Tables 4 and 5 present the level of agreement across the various questions in each section. Table 6 summarises the responses to the multiple-choice questions. Additionally, the free-text field included the following comments from members, organized by section as detailed below (Table 7).

Table 4.

Consensus-endorsed statements from the 2nd SR identifying contextual determinants relevant to the definition of TRLLD

Table 4. long description.

Category 1: Global definition and clinical presentationAge definition & diagnostic criteria
Age-specific TRLLD criteria should be developed to better reflect the needs of older populations. 92%
It is important to define TRLLD as applying to individuals aged 65 years and older.* 79%
Individuals with the onset of treatment-resistant depression (TRD) at age 85 or older (≥85) should not be excluded from the definition of TRLLD.* 83%
There should be a minimum severity threshold for diagnosing TRLLD.* 75%
The minimum severity threshold for diagnosing TRLLD should be moderate depressive episode. 90%
The definition of TRLLD should specify whether it refers to early-onset or late-onset TRLLD. 96%
The distinction between recurrent depressive disorder and a first episode LLD should be specified in the definition of TRLLD.* 83%
TRLLD should include cases where older adults with a history of recurrent depressive disorder develop resistance to an antidepressant that was previously effective. 88%

Note: Percentages indicate the proportion of participating experts in the 2nd SR (n = 24) who endorsed each statement. Items marked with one asterisk (*) fell below the 70% consensus threshold under the worst-case scenario, assuming that all six experts who did not complete the 2nd SR would have disagreed. See Supplementary Table S2 for the full sensitivity analysis.

Table 5.

Non-consensus statements in the 2nd SR

Table 5. long description.

Category 1: Global definition and clinical presentationAge definition and diagnostic criteria
Current adult TRD criteria are generally applicable to older adults. 62%
Adults aged ≥85 years should be considered a distinct diagnostic subgroup (e.g., Very Late-Onset-TRD). 58%
In recurrent depression, if a previously effective antidepressant no longer works, it should not count as an adequate trial for TRLLD; two or three different new antidepressants should be tried first. 42%

Note: Statements listed here did not reach the predefined consensus threshold (≥70% agreement) among experts participating in the 2nd SR (n = 24). Percentages represent the proportion endorsing each statement. Items marked with † did not reach consensus in the observed 2nd SR results but would cross the 70% threshold under the best-case scenario in the sensitivity analysis. See Supplementary Table S3.

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.

Question Responses (n) Responses (%)
What duration do you consider most appropriate to evaluate the response to antidepressants in late life? (optimal early decision point)
4 weeks 11 46
6 weeks 10 42
≥8 weeks 3 13
From which week (e.g., 2 weeks…) can the effectiveness of antidepressant treatment be evaluated in a patient with LLD?
< 4 weeks 5 21
4–6 weeks 14 58
> 6 weeks 5 21
From what age should late-onset TRLLD be defined?
<60 years 2 8
60 years 7 29
≥65 years 12 50
≥70 years 2 8
Which scale or score do you mostly use in clinical practice for TRLLD?
MADRS 11 46
GDS 6 25
HAM-D/HDRS 4 17
DSM criteria 1 4
HADS 1 4
Others (e.g., “clinical only”) 4 17
Please specify any tools (PHQ–9, GDS, HAM-D, Cornell) that should not be used for TRLLD.
GDS 9 38
PHQ–9 8 33
Cornell 3 13
HAM-D 3 13
Others 2 8
When assessing TRLLD, which of the following should be prioritised?
Symptom severity 11 46
Depending on the clinical context 11 46
Functional impairment 9 38

Note: This table summarises expert responses to predefined multiple-choice questions included in the 2nd SR (n = 24). For each question, the number (n) and percentage (%) indicate how many experts selected each response option. Some questions received multiple answers from experts.

Table 7.

Summary of the free-text comments by thematic category in the 2nd SR

Table 7. long description.

Category Summary of comments from panel members
Category 1: Global definition and clinical presentation One expert cautioned that the term treatment-resistant may be counterproductive if applied too early in the care pathway, as it may convey a defeatist message to patients, given that remission after a first antidepressant trial is uncommon.
Category 2: Co-occurrence of cognitive impairment, dementia, and vascular depression Eight panellists emphasised the importance of distinguishing cognitive symptoms attributable to depression from mild cognitive impairment or dementia due to neurodegenerative aetiology.
Category 3: Co-occurrence of other physical and mental comorbidities Some experts noted that physical conditions are highly prevalent in TRLLD and emphasised that physical and mental disorders may co-occur without requiring a single unifying explanatory framework. For definitional purposes, they argued that only aetiological factors supported by robust evidence as potential contributors to depressive symptoms should be retained.
Category 4: Pharmacokinetics, pharmacodynamics, and drug interactions Comments diverged: some experts emphasised that clinical context should guide testing and interpretation, whereas others recommended that, in addition to plasma concentration monitoring, pharmacogenetic profiling should be considered.
Category 5: Treatment adherence and tolerance Some experts noted that antidepressant plasma concentrations do not necessarily index adherence, as atypical levels may reflect pharmacogenetic variation. Several suggested that a detailed clinical history, supplemented by caregiver/family input, may be more informative than laboratory testing for sustained adherence, and called for greater attention to adverse effects.
Category 6: Social and psychological factors The panel largely agreed that social isolation contributes to poorer treatment outcomes in LLD.

Overall, there was a high level of consensus on the contextual determinants relevant to the definition of TRLLD, while some items remained under debate. A best-case/worst-case sensitivity analysis for all 58 closed items was performed to assess the impact of the six non-responding experts in the 2nd SR. Results are presented separately for items that reached consensus in the observed analysis (Supplementary Table S2) and items that did not reach consensus (Supplementary Table S3). These tables show which consensus items would fall below the 70% threshold in the worst-case scenario, and which non-consensus items would reach the 70% threshold in the best-case scenario.

Definition of TRLLD

Based on information collected in the 1st and 2nd SR, we identified a set of contextual determinants relevant to the definition of TRLLD, which, while not incorporated as defining criteria, are highly relevant to implementation in routine practice, research design, and future evaluation of TRLLD. After synthesising the findings within each thematic category, the 3rd SR focused on consolidating the core definitional criteria of TRLLD into a practical categorical definition, an operational staging model, and a decision algorithm, presented in Tables 8 and 9; Figure 2.

Table 8.

Summary of the expert panel’s consensus on the core definitional criteria for TRLLD (categorical definition)

Table 8. long description.

Domain Criterion Clarifications/Notes
Global definition and symptoms
  • ≥65 years old.
  • ≥2 adequate antidepressant trial failures at guideline-supported doses and durations [34, 35].
  • A moderate to severe depressive episode as measured by a validated scale (e.g., MADRS ≥20 or HAM-D ≥17).
  • No upper age limit.
  • Psychotherapy non-response is not part of the core TRLLD criterion, but it may count as one of three failed treatments in an operational definition and should be documented.
  • The “optimal early decision point” for evaluating antidepressant response is after 4 weeks; this does not define the minimum duration of an adequate trial.
  • Early-onset vs late-onset TRLLD should be indicated.
  • First vs recurrent depressive episode should be indicated.
Cognitive comorbidities
  • Exclude patients with dementia from TRLLD classification.
  • MCI can be included in the TRLLD definition; cognitive follow-up should be ensured.
Physical comorbidities
  • Acute physical comorbidities with potential mood manifestations should be excluded.
  • Chronic physical comorbidities should be adequately managed.
Pharmacokinetics, pharmacodynamics, and treatment adherence
  • Structured questions about adherence with input from a proxy, such as a partner or caregiver.
Social and Psychological factors
  • Access barriers (e.g., limited availability or treatment costs) should be documented and considered in clinical management, as they may limit the ability to complete adequate treatment trials.

Note: This table summarises the core definitional criteria of the categorical TRLLD definition (minimum threshold), corresponding to Stage II in the operational staging model presented in Table 9. The statements presented in this table were synthesised from items reaching consensus and were subsequently reviewed and refined by the expert panel in the 3rd SR.

Table 9.

Adaptation of the Thase and Rush staging model for TRLLD (European Task Force consensus)

Table 9. long description.

Stage Thase and Rush [18] European Task Force TRLLD definition, 2026
Stage I Failure of ≥1 adequate trial of antidepressant monotherapy. Not endorsed as TRLLD (Stage I “failure of ≥1 adequate trial of a major antidepressant class,” did not reach consensus).
Psychotherapy non-response does not count towards the ≥2 antidepressant trials, but may be documented as 1 of 3 failed treatments in an operational framework.
Stage II Stage I + failure of adequate trial of a different antidepressant class. Stage II (minimum TRLLD level): failure of ≥2 adequate antidepressant trials.
Stage III Stage II + failure of adequate trial of a tricyclic antidepressant. Stage III: Stage II + failure of augmentation therapy (e.g., aripiprazole, lithium).
Stage IV Stage III + failure of adequate trial of a MAOI. Stage IV: Stage III + failure of advanced intervention strategy (e.g., ECT, rTMS, ketamine/esketamine).
Stage V Stage IV + failure of an ECT course. Not applicable.

Note: In the European Task Force operational model, Stage II corresponds to the minimum categorical TRLLD definition and requires that all core definitional criteria specified in Table 8 are met. Stage I was not endorsed because failure of a single antidepressant trial did not meet the panel’s threshold for defining TRLLD. Stage II therefore represents the minimum categorical TRLLD definition, requiring failure of ≥2 adequate antidepressant trials. Stages III and IV were adapted to reflect contemporary LLD practice, informed by the Delphi panel responses to questions developed on the basis of our previous systematic review of interventions for TRLLD [14]: augmentation strategies are included at Stage III, and advanced interventions, including ECT, rTMS, and ketamine/esketamine, are included at Stage IV. The adapted staging model should be interpreted as a framework for describing the degree of treatment resistance in TRLLD rather than as a prescriptive treatment algorithm.

Figure 2.

A flowchart showing the consensus-based decision algorithm for defining TRLLD based on age, treatment history, and clinical comorbidities. See long description.

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.

Third survey round

In the 3rd SR, all expert panel members (who are co-authors of this consensus paper) reviewed, refined, and endorsed the final consensus and core definitional criteria in terms of the categorical definition, the operational staging model, and decision algorithm derived from the preceding SR (Tables 8 and 9; Figure 2).

Discussion

This article reports a novel expert consensus on TRLLD, distinguishing core definitional criteria from consensus-endorsed contextual determinants identified across the three survey rounds. Based on the core criteria, we propose a final categorical definition, an operational staging model, and a decision algorithm for TRLLD (Tables 8 and 9; Figure 2).

Our categorical definition and operational staging model are built on the framework proposed by Patrick et al. [9]. They incorporate perspectives of a geographically diverse European expert panel, provide greater specificity and clarify how the severity and type of medical and cognitive comorbidities should influence classification, and propose an operational staging approach to TRLLD (Table 9).

Global definition and clinical presentation

Consensus was reached on an age cutoff of ≥65 years for defining TRLLD. The age of 65 years is a conventional geriatric threshold and is also consistent with literature describing clinically relevant differences in depression in older adults. Meta-analytic evidence suggests that antidepressant response may be less robust in adults aged ≥65 years than in younger adult populations, supporting the need for age-specific consideration of treatment resistance from this age onward [26]. In addition, LLD is frequently characterised by greater medical comorbidity, vascular burden, neuroendocrine dysregulation, cognitive impairment, and increased risk of subsequent dementia, all of which may influence both clinical presentation and treatment response [27]. Therefore, the ≥65-year cutoff should be understood as a consensus-based and clinically pragmatic threshold [27]. No consensus was achieved on establishing a distinct “very-late-onset” subgroup beginning at age 85. There is an age-related increase in the incidence of new-onset depression across older age strata; however, incidence estimates specifically for individuals aged ≥85 years are less consistently reported [28, 29]. The depressive phenotype and response to treatment in this oldest group may differ from that observed in the broader older-adult population [30, 31]. Older individuals often present with somatic complaints, irritability, neurovegetative changes, and cognitive symptoms, rather than overt dysphoria [32]. This aligns with reviews describing ‘masked’ or atypical features, which can hinder the timely identification of TRLLD [32]. Further studies should clarify whether incident cases in the oldest-old have distinct features, particularly regarding treatment response, that might justify considering them as a separate category.

Within the panel, the MADRS was the most used monitoring instrument in clinical practice, followed by the GDS or HAM-D/HDRS. This pattern highlights a discrepancy: although atypical presentation was considered important, commonly used symptom scales do not fully capture atypical or masked manifestations. Consequently, these features were not included as core definitional criteria. This may lead to under-detection in routine clinical practice and requires further evaluation in future studies.

Most panellists agreed that non-response to two adequate antidepressant trials should be required, consistent with definitions applied in general adult populations [33]. As summarised in Table 8, although this Delphi study did not define specific target antidepressant doses or trial durations, adequacy should be judged according to recognised national and international guidelines, taking into account both dose and duration [34, 35]. In line with the principle of “start low, go slow, but go” [36], antidepressant treatment in older adults should be initiated and titrated cautiously, while aiming, when clinically appropriate and tolerated, for the same minimum effective doses as in younger adults unless contraindicated [37].

Consensus supported including older adults who develop late-life resistance to an antidepressant that was previously effective. Longitudinal data indicate heterogeneous trajectories in relation to treatment resistance: some patients show inadequate response from the first trial with an antidepressant, whereas others respond initially and then lose response over time [38]. These have been termed primary versus secondary treatment resistance, sometimes misinterpreted as early-onset and late-onset [39]. Distinguishing these trajectories is clinically salient in late life: secondary resistance may be more common in those with greater medical comorbidity and may be modifiable [40]. Additionally, there was strong consensus on distinguishing recurrent versus non-recurrent depression and early- versus late-onset forms – defined by the majority of the expert panel as depression that first manifests at age 65 years or older – given their potentially distinct aetiologies – and, consequently, different treatment implications [41, 42].

No consensus was reached on whether the mere presence of residual symptoms after two or three adequate treatment trials should independently qualify an individual as having TRLLD. Nonetheless, it is important to emphasise that minimising residual symptoms remains a central therapeutic goal. In later life, these symptoms are common and should be actively evaluated and managed, while also recognising that some may reflect underlying physical illness, frailty, or other non-depressive processes requiring targeted assessment and treatment [43]. Where residual symptoms are attributable to ongoing depressive pathology, they are strongly associated with increased relapse risk and poorer quality of life [44, 45].

Experts endorsed the need for a categorical approach to TRLLD and agreed that the Thase and Rush (1997) [18] staging model should be adapted beginning at Stage II. Stage I – defined as failure of a single adequate antidepressant trial – did not reach consensus, whereas Stage II corresponds to the minimum threshold of the categorical TRLLD definition established in this study (Table 8).

The adapted staging model should be interpreted as a framework for describing the degree of treatment resistance in TRLLD rather than as a prescriptive treatment algorithm. The design of the survey questions addressing this model was informed by the findings of our preceding systematic review [14]. The differences from the original Thase and Rush model reflect the responses of the Delphi panel across the 2nd SR (see Table 4).

One expert cautioned that the label treatment-resistant can convey a defeatist approach if applied too early in care [46], which is especially important given the high non-response rates in LLD, approximately 51% after one antidepressant trial [6]. This concern is further contextualised by meta-analytic evidence concluding that, in adults aged ≥65 years, the overall benefit of second-generation antidepressants (e.g., SSRIs, SNRIs, or mirtazapine) is modest and heterogeneous, and potentially attenuated in the context of frailty and tolerability issues [26, 47]. To mitigate this risk, it is important to reiterate that the TRLLD designation only applies after two adequate antidepressant treatments have been unsuccessful, and that there are still multiple possible and potentially effective therapeutic avenues available [14, 35] when following an evidence-based, guideline-informed sequential treatment approach.

In terms of psychotherapy, 71% of experts indicated that non-response to psychotherapy should not count as a failed treatment in the categorical definition of TRLLD. Although this met the predefined consensus threshold, it was one of the weakest consensus findings and did not remain robust in the sensitivity analyses. However, these analyses should be interpreted cautiously, as most panellists with formal psychotherapy training were retained for the 2nd SR. In the proposed definition, psychotherapy non-response was not retained as a core definitional criterion, but its role should remain open to further evaluation and may be documented within the broader operational staging framework. The lack of consensus also likely reflects the limited and heterogeneous evidence base specific to TRLLD, which complicates operationalisation (e.g., modality, intensity, delivery format). It may also be influenced by variability in access to and delivery of psychotherapeutic services for older adults across health systems. Notably, scientific evidence of LLD emphasises the importance of combining pharmacotherapy with evidence-based psychotherapies wherever possible, while acknowledging that research into psychotherapy for TRLLD remains limited [14, 48].

Experts agreed that psychotherapy may be included as one of three failed treatments in an operational definition. Therefore, although treatment resistance is established by the failure of two adequate antidepressant treatments, a history of non-response to psychotherapy should be mentioned explicitly (Table 9).

Most panellists agreed that one should wait approximately 4 weeks to observe the effects of antidepressants. This stands in contrast to literature suggesting that, in patients aged ≥65 years, a longer trial than in general adult populations may be warranted (8 weeks) [13]. As endorsed by most panel members, waiting 8 weeks is often not feasible in real-world clinical practice, underscoring the need for close monitoring and timely, proactive adjustments when early improvement is absent. In this context, the panel’s preference for week 4 as an optimal early decision point is consistent with the literature on early decision-making in LLD, which suggests that (i) more than 40% of partial responders at week 4 ultimately attain full response by the end of acute treatment; (ii) fewer than 25% of non-responders at week 4 attain full response by week 12; and (iii) early full response is largely sustained through week 12 [49–51]. Accordingly, changing treatment before week 4 may lead to premature discontinuation of potentially effective therapy in too many patients, whereas the absence of at least partial response by week 4 may reasonably prompt treatment modification (e.g., switch or augmentation).

Cognitive impairment and TRLLD

The panel agreed that individuals with dementia should be excluded from the definition of TRLLD and emphasised the importance of determining the aetiology of cognitive decline in older adults with TRLLD. Even if biomarkers are not part of the TRLLD definition, some could be part of the differential diagnosis. Emerging blood-based biomarkers such as plasma p-tau217 or neurofilament light (NfL), markers of specific Alzheimer pathology and non-specific neurodegeneration, respectively, may provide adjunctive evidence to distinguish whether cognitive symptoms in TRLLD reflect a primary neurodegenerative process or are secondary to depression [52–55]. However, particularly in the very old, abnormal tau measures may also reflect preclinical pathology and may not map directly onto current symptoms, so results should be interpreted in a clinical context [56, 57]. Where available and clinically indicated, additional investigations such as amyloid PET imaging for Alzheimer’s disease or cerebrospinal fluid α-synuclein assays for Lewy body disease may further support differential diagnosis and phenotyping [58]. The lack of consensus on defining patients with TRLLD, no prior depressive history, and comorbid mild cognitive impairment (MCI) as a separate category may reflect the aetiological heterogeneity of MCI in LLD. While cognitive impairment may be at least partly related to the depressive episode in some patients [59], in others, it may indicate an underlying neurodegenerative process [60, 61]. Therefore, patients with TRLLD and comorbid cognitive impairment should receive longitudinal cognitive follow-up [61]. From a clinical standpoint, individuals with LLD/TRLLD and cognitive impairment, irrespective of the underlying aetiology, require active treatment, as they may be particularly susceptible to accelerated brain ageing and adverse outcomes [10, 62].

Apathy is another frequent and clinically meaningful feature in LLD. In a geriatric cohort, approximately 38% of older adults with depression have clinically significant apathy, and its severity predicts disability independently of overall depressive severity [63]. Importantly, apathy is not a formal diagnostic criterion for a depressive episode in DSM-5 or ICD-10; therefore, its presence or absence should not be used to determine whether the minimum severity threshold (i.e., a moderate depressive episode) is met. Nonetheless, apathy remains clinically relevant in LLD and should be assessed and documented as an associated feature.

Other comorbidities and TRLLD

Some experts questioned whether residual somatic symptoms (e.g., sleep, appetite, fatigue/energy-related symptoms) should count against the TRLLD definition. Ultimately, the statement that “residual symptoms after two or three adequate treatments indicate TRLLD” did not reach consensus, so residual somatic symptoms were not included as a defining criterion. Nonetheless, the clinical management of somatic residual symptoms remains understudied, and further research should define optimal strategies for their assessment and treatment.

Consensus was reached on the need to screen for physical pathology before labelling a case as TRLLD. Importantly, in individuals with high somatic burden, comorbidity is often associated with lower treatment adherence [64]. Accordingly, these patients warrant closer adherence monitoring to minimise the risk of misclassifying non-response due to poor adherence as TRLLD. Furthermore, there was consensus to exclude from the definition patients with depressive symptoms occurring in the context of another primary psychiatric disorder (e.g., bipolar disorder or schizoaffective disorder). Further discussions by task force groups are needed to determine whether certain resistance criteria defined for bipolar depression in adults can be adapted to the late-life population [65].

Treatment adherence and tolerance and TRLLD

Our panel agreed that TRLLD assessment should include structured questions about adherence, with input from a proxy such as a partner or carer. This approach can be difficult to implement for socially isolated patients and may also be perceived as intrusive; therefore, it should only be undertaken with the patient’s consent. Nevertheless, it remains clinically relevant, as adherence in older adults with depression is often suboptimal.

Studies in primary care cohorts of older adults show that approximately 13.5% do not commence prescribed antidepressants, 15.2% adhere to treatment insufficiently, and 37.1% do not persist with treatment during roughly the first year [66]. In geriatric cohorts, about one-half of older adults achieve an adherence level of at least 80% of days covered [67]. These findings highlight the clinical importance of structured adherence assessment and, where appropriate, corroborating adherence with proxy input (e.g., a partner or caregiver).

The use of plasma antidepressant levels to monitor adherence was one of the most contentious issues. Some panel members highlighted the limited availability of such testing in most centres and the lack of robust evidence for a direct correspondence between plasma concentrations and adherence, whereas others argued that this relatively inexpensive assay could become more accessible if incorporated into routine practice [68].

The British Association for Psychopharmacology’s guidelines for the treatment of depressive disorders emphasise the need for effective strategies to enhance medication adherence [69]. They also note that therapeutic drug monitoring can help assess treatment adherence and lack of efficacy at apparently adequate doses [69].

The authors emphasise that aligning treatment with patient preferences and implementing structured follow-up plans improves both adherence and outcome; that adherence counselling is beneficial, whereas information leaflets alone are not; and that once-daily regimens can be as effective as multiple daily dosing and are associated with better adherence [69]. Psychoeducational interventions can improve outcomes in later life [70].

Further studies should determine the proportion of patients classified as resistant under the presented definition who exhibit non-adherence or subtherapeutic plasma antidepressant levels.

Social and psychological factors and TRLLD

Finally, the panel reached consensus on the relevance of social determinants in both the definition and the care pathway for TRLLD. Experts agreed that social isolation contributes to poorer treatment outcomes in LLD and that access barriers should be documented and considered when interpreting treatment adequacy and resistance. Costs and insurance coverage limitations restrict pharmacological access in LLD, affecting prescription initiation, continuity, and adherence [71, 72]. These factors are contextual determinants relevant to research and clinical implementation, but should not be considered core criteria for defining TRLLD. Addressing these barriers, through facilitated access to medications, financial and logistical support, and collaborative-care models embedded in primary care, is essential. Furthermore, social isolation can restrict access to evidence-based treatments –including pharmacotherapy, psychotherapy, or tele–mental health– and may shape how TRLLD is identified in routine clinical practice. Despite recent improvements in digital connectivity, substantial access gaps persist among socially disadvantaged, rural, and homebound older adults, limiting engagement in remote interventions and exacerbating inequities [73, 74].

Sensitivity analysis of consensus findings

A best-case/worst-case sensitivity analysis was performed to assess the potential impact of the six experts who did not complete the 2nd SR. This analysis showed that several items close to the 70% consensus threshold were sensitive to assumptions regarding non-responders. These findings do not invalidate the 2nd SR results, which were based on the prespecified Delphi sample of 24 respondents, but they should be considered when interpreting the robustness of individual items. Full item-level results are provided in Supplementary Tables S2 and S3.

Strengths and limitations

This study applies a rigorous Delphi methodology aligned with CREDES guidance (Supplementary Table S1) [25], using iterative SR, prespecified consensus thresholds, and structured feedback between SR. The panel was international and multidisciplinary, providing broad clinical input; however, geographical representation was uneven, with a substantial proportion of participants from France, England, and Switzerland. This geographical imbalance may limit the representativeness of the panel and should therefore be considered when interpreting the findings. Item generation was anchored in a comprehensive literature review and refined through open-ended responses (1st SR), enhancing content validity. The process achieved substantial agreement (consensus on 72.4% of closed items) and produced operational outputs, a consensus definition, and a decision algorithm that are readily applicable to practice.

In terms of limitations, the panel included only one psychologist and no psychosocial practitioners, which may have reduced the robustness of consensus on psychotherapy-related items and calls for cautious interpretation in the absence of broader specialist input. This should, however, be considered alongside the fact that the 2nd SR included five psychiatrists from Germany and Switzerland, where the official specialist designation explicitly combines psychiatry and psychotherapy [75, 76]. Nevertheless, broader multidisciplinary input, particularly from clinical psychologists and psychotherapy specialists, should be considered in future revisions of the TRLLD definition. More generally, and inherent to the Delphi approach, these findings reflect expert consensus rather than empirical testing; consensus represents agreement among panellists and does not necessarily indicate an objectively “correct” position, while persistent disagreement remains informative. Therefore, future studies should evaluate the proposed TRLLD criteria in independent samples by examining their feasibility in routine practice, inter-rater reliability, and clinical validity. The high proportion of closed questions in the 2nd SR may have constrained expression of nuance, and anchoring effects may have arisen because panellists viewed summaries from previous SR. To mitigate this issue, a free-text field for open comments was included in each category. Another limitation is that not all non-pharmacological approaches were considered in shaping the definition. Some, such as psychotherapy, were considered in the Delphi process. However, other interventions – like physical exercise – with a growing body of evidence supporting their role in TRLLD [77–79], were not specifically included.

Finally, while the panel achieved consensus on the importance of adherence monitoring and age-specific pharmacokinetic considerations, practical implementation strategies – including the role and timing of therapeutic drug monitoring, approaches to managing complex drug–drug interactions, and systematic assessment of sickness behaviour in the context of medical comorbidity – were not fully operationalised and require further empirical investigation.

Conclusion

We present an expert-derived consensus definition for TRLLD, developed to address the unique challenges in older adults. The proposed criteria offer a practical framework to enhance diagnostic vigilance, promote timely intervention, and harmonise clinical and research practices. These criteria are deliberately conservative to avoid premature “treatment-resistant” labelling. By standardising definitions and pathways, this framework may also facilitate epidemiological understanding and improve the identification and enrolment of patients in research studies. Future priorities include the development of prevention strategies and targeted interventions informed by clinical trials, as well as prospectively validating this definition across diverse care settings. Another priority is testing the prognostic validity of this definition against clinical outcomes and treatment trajectories.

Supporting information

Pozuelo Moyano et al. supplementary material

Pozuelo Moyano et al. supplementary material

DOI: 10.1192/j.eurpsy.2026.12228.sm001

Acknowledgements

Thank you to all members of the Task Force.

Long descriptions

[Table 1]. Long description

The table consists of two columns: Selection criteria and How it was implemented in this study.

Row 1: Identifying the most appropriate categories of experts for the panel. Implementation: Identified experts in old-age psychiatry, geriatrics, psychology, neurology, and related fields with expertise in L L D. Experts were selected for clinical or research experience. Recruitment aimed for broad European geographical representation to enrich perspectives on T R L L D.

Row 2: Identifying experts. Implementation: Names compiled from previous research, publications on L L D or T R L L D, and membership in professional associations. Most panellists were independent academic clinicians with no conflicts of interest. Coordination was by a steering committee of independent researchers.

Row 3: Contacting individuals. Implementation: Experts were invited to nominate additional professionals via a snowball sampling approach to ensure a diverse pool of expertise.

Row 4: Creating sub-lists for each stakeholder group. Implementation: Experts were grouped by professional background, including psychology, geriatrics, psychiatry, neurology, and old-age psychiatry.

Row 5: Inviting the experts. Implementation: The study aimed to assemble a convenience sample of at least 30 experts.

Navigate back to [Table 1].

[Figure 1]. Long description

The flowchart is structured with a central column of process boxes, a vertical timeline arrow on the right, and summary labels on the left.

Timeline and Phases:

- 2024: Literature review and initial framework development.

- January - February 2025: Steering Committee established and selection of experts. 30 invited and 30 accepted.

- March - April 2025: 1st Survey Round. This phase involves 6 open-ended questions on contextual determinants of T R L L D. Steps include pre-testing by the Steering Committee, volunteer psychiatrists, and research assistants; collection of responses from 30 out of 30 experts; and feedback sent via email.

- May - July 2025: 2nd Survey Round. This phase involves 70 closed-ended yes or no questions on contextual determinants of T R L L D. Steps include pre-testing by the same group; collection of responses from 24 out of 30 experts; and feedback sent via email.

- August - December 2025: 3rd Survey Round. This phase focuses on core definitional criteria for T R L L D. Steps include categorical definition, operational staging model, and derived decision algorithm; Steering Committee review; and expert panel review with 30 out of 30 experts participating.

- January 2026: Final validation.

The vertical arrow on the right spans the entire duration, pointing downward to indicate the progression of time.

Navigate back to [Figure 1].

[Table 2]. Long description

The table consists of four columns: Item, 1st S R n equals 30, 2nd S R n equals 24, and Experts not completing 2nd S R n equals 6.

Primary professional background:

- Psychiatry general: 16 53.3 percent, 13 54.2 percent, 3 50.0 percent.

- Old age psychiatry: 10 33.3 percent, 7 29.2 percent, 3 50.0 percent.

- Geriatrics: 2 6.7 percent, 2 8.3 percent, 0 0.0 percent.

- Neurology: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Psychology: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

Years of professional experience:

- 6 to 9 years: 3 10.0 percent, 3 12.5 percent, 0 0.0 percent.

- 10 to 20 years: 12 40.0 percent, 12 50.0 percent, 0 0.0 percent.

- Greater than 20 years: 15 50.0 percent, 9 37.5 percent, 6 100.0 percent.

Clinical degree or academic background:

- M D no P h D: 11 36.7 percent, 9 37.5 percent, 2 33.3 percent.

- P h D with or without M D: 19 63.3 percent, 15 62.5 percent, 4 66.7 percent.

Country of participants:

- Belgium: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- England: 6 20.0 percent, 4 16.7 percent, 2 33.3 percent.

- France: 7 23.3 percent, 5 20.8 percent, 2 33.3 percent.

- Germany: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Italy: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Monaco: 1 3.3 percent, 0 0.0 percent, 1 16.7 percent.

- Netherlands: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Norway: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Poland: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Portugal: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Romania: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Spain: 2 6.7 percent, 2 8.3 percent, 0 0.0 percent.

- Sweden: 1 3.3 percent, 1 4.2 percent, 0 0.0 percent.

- Switzerland: 5 16.7 percent, 4 16.7 percent, 1 16.7 percent.

Navigate back to [Table 2].

[Table 3]. Long description

The table consists of a single column titled Question. The rows contain the following six questions. One. How would you define treatment-resistant late-life depression TRLLD? Two. How many ineffective treatment trials should be required to define treatment resistance? Three. Which classes of treatments should be considered when evaluating an unsuccessful attempt to treat late-life depression? Four. Do you think unsuccessful psychological treatments should be included when defining TRLLD? Five. Should the biological causes and mechanisms of disease investigations be included when defining TRLLD? Six. Are there any criteria for defining treatment-resistant depression that should be specifically considered in the older population compared with the adult population?

Navigate back to [Table 3].

[Table 4]. Long description

The table is divided into six categories.

Category 1: Global definition and clinical presentation.

- Age definition and diagnostic criteria: Age-specific TRLLD criteria 92 percent. Defining TRLLD as 65 years and older 79 percent. Inclusion of age 85 or older 83 percent. Minimum severity threshold 75 percent. Threshold as moderate depressive episode 90 percent. Specifying early-onset versus late-onset 96 percent. Distinguishing recurrent versus first episode 83 percent. Including resistance to previously effective antidepressants 88 percent.

- Operational versus categorical definitions: Defined operationally using a continuum 83 percent. Adapting existing TRD staging models 83 percent. Stage 2 failure of two trials from distinct classes 78 percent. Stage 3 failure of augmentation 83 percent. Stage 4 failure of EC T, r TM S, or ketamine 71 percent. Operational definition for research 88 percent. Model should not begin with psychotherapy at Stage 1 75 percent.

- Number of treatment failures and psychotherapy: Failure to respond to two trials 83 percent. Psychotherapy not counted as one failed treatment 71 percent. Psychotherapy defined as one out of three failed treatments 82 percent.

- Treatment duration: Specific minimum duration necessary 100 percent. 10 to 12 weeks considered too long for clinical practice 88 percent. Start low, go slow, but go principle 92 percent.

- Symptom presentation: Include atypical and masked symptoms 92 percent. Consider differences between clinician and patient reports 96 percent. Consider discrepancies between symptom reduction and functional improvement 96 percent.

- Assessment tools: MADRS 88 percent. HAM dash D 88 percent. Cornell Scale for Depression in Dementia 79 percent.

Category 2: Cognitive impairment, dementia, vascular depression.

- Cognitive impairment interferes with diagnosis 96 percent. Affects treatment response 100 percent. Routine cognitive screening 92 percent. Excluding those with dementia and no prior history 75 percent. Apathy as only remaining symptom does not indicate TRLLD 75 percent.

Category 3: Physical or mental comorbidities.

- Screening for thyroid, testosterone, or vitamin deficiencies 92 percent. Primary psychiatric disorders do not indicate TRLLD 83 percent. Managing physical comorbidities like chronic pain 79 percent.

Category 4: Pharmacokinetics, pharmacodynamics, drug interactions.

- Age-specific characteristics should be considered 96 percent.

Category 5: Treatment adherence and tolerance.

- Poor adherence as common cause of failure 96 percent. Discontinuation due to side effects is not a failed trial 92 percent. Structured questions about adherence with proxy input 83 percent. Additional monitoring for those with cognitive impairment 88 percent.

Category 6: Social and psychological factors.

- Social isolation contributes to poor outcomes 92 percent. Routine assessment of psychosocial stressors 83 percent.

Navigate back to [Table 4].

[Table 5]. Long description

The table is organized into six categories with associated statements and their expert agreement percentages (ranging from 37% to 67%).

* Category 1: Global definition and clinical presentation. Includes age definition and diagnostic criteria (62% agreement on adult TRD criteria applicability; 58% on age 85 as a distinct subgroup; 58% on antidepressant trial requirements in recurrent depression). Operational versus categorical definitions (67% on Stage I definition). Number of treatment failures and psychotherapy (67% on 50% symptom reduction threshold; 67% on residual symptoms after 2 or 3 trials). Assessment tools (58% for PHQ 9; 62% for GDS).

* Category 2: Cognitive impairment, dementia, vascular depression. (42% on classifying MCI separately; 37% on classifying vascular depression separately).

* Category 3: Physical or mental comorbidities. (67% on considering chronic physical illness in the definition).

* Category 4: Pharmacokinetics, pharmacodynamics, drug interactions. (62% on age 60 threshold; 67% on checking plasma levels for hepatic enzyme induction; 58% on reducing depressogenic medications).

* Category 5: Treatment adherence and tolerance. (58% on routine plasma drug level assessment).

* Category 6: Social and psychological factors. (67% on considering accessibility issues like ECT access).

Navigate back to [Table 5].

[Table 6]. Long description

A table with three columns: Question, Responses n, and Responses percent. It details the following survey results from 24 experts:

* For the appropriate duration to evaluate antidepressant response: 4 weeks (11 responses, 46 percent), 6 weeks (10 responses, 42 percent), and greater than or equal to 8 weeks (3 responses, 13 percent).

* For the week when effectiveness can first be evaluated: less than 4 weeks (5 responses, 21 percent), 4 to 6 weeks (14 responses, 58 percent), and greater than 6 weeks (5 responses, 21 percent).

* For the age to define late-onset TRLLD: less than 60 years (2 responses, 8 percent), 60 years (7 responses, 29 percent), greater than or equal to 65 years (12 responses, 50 percent), and greater than or equal to 70 years (2 responses, 8 percent).

* For clinical scales mostly used: MADRS (11 responses, 46 percent), GDS (6 responses, 25 percent), HAM dash D or HDRS (4 responses, 17 percent), D S M criteria (1 response, 4 percent), H A D S (1 response, 4 percent), and others (4 responses, 17 percent).

* For tools that should not be used: GDS (9 responses, 38 percent), PHQ dash 9 (8 responses, 33 percent), Cornell (3 responses, 13 percent), HAM dash D (3 responses, 13 percent), and others (2 responses, 8 percent).

* For priorities when assessing TRLLD: Symptom severity (11 responses, 46 percent), Depending on the clinical context (11 responses, 46 percent), and Functional impairment (9 responses, 38 percent).

Navigate back to [Table 6].

[Table 7]. Long description

The table consists of two columns: Category and Summary of comments from panel members.

* Category 1: Global definition and clinical presentation. Summary: One expert cautioned that the term treatment-resistant may be counterproductive if applied too early, as it may convey a defeatist message since remission after a first antidepressant trial is uncommon.

* Category 2: Co-occurrence of cognitive impairment, dementia, and vascular depression. Summary: Eight panellists emphasized distinguishing cognitive symptoms of depression from mild cognitive impairment or dementia due to neurodegenerative etiology.

* Category 3: Co-occurrence of other physical and mental comorbidities. Summary: Experts noted physical conditions are prevalent in TRLLD and may co-occur without a single unifying framework. Only etiological factors with robust evidence should be retained for definitions.

* Category 4: Pharmacokinetics, pharmacodynamics, and drug interactions. Summary: Comments diverged between guiding testing by clinical context and recommending plasma concentration monitoring alongside pharmacogenetic profiling.

* Category 5: Treatment adherence and tolerance. Summary: Experts noted plasma concentrations may reflect pharmacogenetic variation rather than adherence. They suggested clinical history and caregiver input are more informative than laboratory testing and called for attention to adverse effects.

* Category 6: Social and psychological factors. Summary: The panel agreed that social isolation contributes to poorer treatment outcomes in LL D.

Navigate back to [Table 7].

[Table 8]. Long description

The table is organized into three columns: Domain, Criterion, and Clarifications/Notes.

* Domain: Global definition and symptoms.

- Criterion: Age greater than or equal to 65 years old; greater than or equal to 2 adequate antidepressant trial failures at guideline-supported doses and durations; a moderate to severe depressive episode measured by a validated scale such as MADRS greater than or equal to 20 or HAM dash D greater than or equal to 17.

- Clarifications/Notes: No upper age limit. Psychotherapy non-response is not a core criterion but may count as one of three failed treatments. The optimal early decision point for response is 4 weeks. Early-onset versus late-onset and first versus recurrent episodes should be indicated.

* Domain: Cognitive comorbidities.

- Criterion: Exclude patients with dementia from TRLLD classification.

- Clarifications/Notes: MCI can be included; cognitive follow-up should be ensured.

* Domain: Physical comorbidities.

- Criterion: Acute physical comorbidities with potential mood manifestations should be excluded.

- Clarifications/Notes: Chronic physical comorbidities should be adequately managed.

* Domain: Pharmacokinetics, pharmacodynamics, and treatment adherence.

- Criterion: Structured questions about adherence with input from a proxy, such as a partner or caregiver.

- Clarifications/Notes: None provided.

* Domain: Social and psychological factors.

- Criterion: Access barriers such as limited availability or treatment costs should be documented and considered in clinical management.

- Clarifications/Notes: None provided.

Navigate back to [Table 8].

[Table 9]. Long description

The table consists of three columns: Stage, Thase and Rush, and European Task Force TRLLD definition, 2026.

* Stage I: Thase and Rush define this as failure of 1 or more adequate trials of antidepressant monotherapy. The European Task Force does not endorse this as TRLLD. They note that psychotherapy non-response does not count toward the 2 required antidepressant trials but may be documented as 1 of 3 failed treatments.

* Stage II: Thase and Rush define this as Stage I plus failure of an adequate trial of a different antidepressant class. The European Task Force defines this as the minimum TRLLD level, requiring failure of 2 or more adequate antidepressant trials.

* Stage III: Thase and Rush define this as Stage II plus failure of an adequate trial of a tricyclic antidepressant. The European Task Force defines this as Stage II plus failure of augmentation therapy, such as aripiprazole or lithium.

* Stage IV: Thase and Rush define this as Stage III plus failure of an adequate trial of a MAOI. The European Task Force defines this as Stage III plus failure of an advanced intervention strategy, such as EC T, r T M S, or ketamine or esketamine.

* Stage V: Thase and Rush define this as Stage IV plus failure of an ECT course. The European Task Force marks this as Not applicable.

Navigate back to [Table 9].

[Figure 2]. Long description

The flowchart begins at the top with a primary entry box containing three criteria: greater than or equal to 65 years old, greater than or equal to 2 antidepressant failures, and moderate to severe depressive episode.

If these criteria are not met (No), the path leads to a box stating: The patient does not meet the criteria for the definition of TRLLD.

If met (Yes), the next question is: Does the patient have dementia?

- If Yes, the patient does not meet the criteria for the definition of TRLLD.

- If No, the next question is: Acute physical comorbidities with potential mood manifestations?

From the physical comorbidities question:

- If Yes, the path leads to: Adequate management of acute physical comorbidities. If this management is not achieved (No), the patient does not meet the criteria. If it is achieved (Yes), it joins the No path from the previous question.

- If No, or after successful management, the next question is: Is the patient adherent to treatment? (based on structured questions with proxy input).

From the adherence question:

- If Yes, the patient meets the criteria for the definition of TRLLD.

- If No, the final question is: Is depression still treatment-resistant even when adherence and accessibility have been addressed? If Yes, the patient meets the criteria for the definition of TRLLD.

Navigate back to [Figure 2].

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1192/j.eurpsy.2026.12228.

Data availability statement

All data generated or analysed during this study are included in this published article.

Financial support

BPM has received funding from the Department of Psychiatry at Lausanne University Hospital, as well as from the UNIL “Tremplin” grant and the UNIL-FBM Scientific Physician Fellowship (“Bourse Médecin Scientifique”), for academic advancement and protected research time.

RS and CM are part-funded by the NIHR Maudsley Biomedical Research Centre at the South London and Maudsley NHS Foundation Trust and King’s College London and the NIHR HealthTech Research Centre in Brain Health. RS is additionally part-funded by i) the National Institute for Health Research (NIHR) Applied Research Collaboration South London (NIHR ARC South London) at King’s College Hospital NHS Foundation Trust; ii) UKRI – Medical Research Council through the DATAMIND HDR UK Mental Health Data Hub (MRC references: MR/W014386/1, MR/Z504816/1); iii) the UK Prevention Research Partnership (Violence, Health and Society; MR-VO49879/1), an initiative funded by UK Research and Innovation Councils, the Department of Health and Social Care (England) and the UK devolved administrations, and leading health research charities. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.

Competing interests

S. Louchart de la Chapelle has received remuneration from Johnson & Johnson for participation in an expert advisory board.

A. Lepetit has received remuneration from Lundbeck for serving on an expert advisory board and for delivering presentations at satellite symposia held during national scientific meetings.

A.H. Young has carried out paid lectures and/or sat on advisory boards for the following companies with drugs used in affective and related disorders: Flow Neuroscience, Novartis, Roche, Janssen, Takeda, Noema Pharma, Compass, AstraZeneca, Boehringer Ingelheim, Eli Lilly, LivaNova, Lundbeck, Sunovion, Servier, Allergan, Bionomics, Sumitomo Dainippon Pharma, Sage and Neurocentrx.

References

  • [1].Hasin DS, Sarvet AL, Meyers JL, Saha TD, Ruan WJ, Stohl M, et al. Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States. JAMA Psychiatry. 2018;75(4):336–46. doi: 10.1001/jamapsychiatry.2017.4602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2].Herrman H, Patel V, Kieling C, Berk M, Buchweitz C, Cuijpers P, et al. Time for united action on depression: a lancet–world psychiatric association commission. Lancet. 2022;399(10328):957–1022. doi: 10.1016/S0140-6736(21)02141-3. [DOI] [PubMed] [Google Scholar]
  • [3].WHO W. Ageing and health.World Health Organization; 2022. [Google Scholar]
  • [4].Wang Y, Qin C, Chen H, Liang W, Liu M, Liu J. Global, regional, and national burden of major depressive disorders in adults aged 60 years and older from 1990 to 2021, with projections of prevalence to 2050: analyses from the global burden of disease study 2021. J Affect Disord. 2025;374:486–94. doi: 10.1016/j.jad.2025.01.086. [DOI] [PubMed] [Google Scholar]
  • [5].Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, et al. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med. 2013;10(11):e1001547. doi: 10.1371/journal.pmed.1001547. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Gutsmiedl K, Krause M, Bighelli I, Schneider-Thoma J, Leucht S. How well do elderly patients with major depressive disorder respond to antidepressants: a systematic review and single-group meta-analysis. BMC Psychiatry. 2020;20(1):102. doi: 10.1186/s12888-020-02514-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [7].Hamm ME, Karp JF, Lenard E, Dawdani A, Lavretsky H, Lenze EJ, et al. What else can we do?"-provider perspectives on treatment-resistant depression in late life. J Am Geriatr Soc. 2022;70(4):1190–7. doi: 10.1111/jgs.17592. [DOI] [PubMed] [Google Scholar]
  • [8].Benson C, Szukis H, Sheehan JJ, Alphs L, Yuce H. An evaluation of the clinical and economic burden among older adult Medicare-covered beneficiaries with treatment-resistant depression. Am J Geriatr Psychiatry. 2020;28(3):350–62. doi: 10.1016/j.jagp.2019.10.012. [DOI] [PubMed] [Google Scholar]
  • [9].Patrick RE, Dickinson RA, Gentry MT, Kim JU, Oberlin LE, Park S, et al. Treatment resistant late-life depression: a narrative review of psychosocial risk factors, non-pharmacological interventions, and the role of clinical phenotyping. J Affect Disord. 2024;356:145–54. [DOI] [PubMed] [Google Scholar]
  • [10].Chan Y-LE, Chen M-H, Tsai S-J, Bai Y-M, Tsai C-F, Cheng C-M, et al. Treatment-resistant depression enhances risks of dementia and alzheimer’s disease: a nationwide longitudinal study. J Affect Disord. 2020;274:806–12. doi: 10.1016/j.jad.2020.05.150. [DOI] [PubMed] [Google Scholar]
  • [11].Lin P-C, Yeh T-C, Bai Y-M, Hsu J-W, Huang K-L, Ko N-Y, et al. Early antidepressant resistance in late-onset major depressive disorder: a nationwide population-based cohort study. J Clin Psychiatry. 2022;83(3):40250. [DOI] [PubMed] [Google Scholar]
  • [12].Eurostat. Population structure and ageing 2025. Available from: https://ec.europa.eu/eurostat/statistics-explained/index.php/Population_structure_and_ageing.
  • [13].Steffens DC. Treatment-resistant depression in older adults. N Engl J Med. 2024;390(7):630–9. doi: 10.1056/NEJMcp2305428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [14].Pozuelo Moyano B, Bautista DG, Ibarra KJP, Mueller C, von Gunten A, Vandel P, et al. Systematic review of clinical effectiveness of interventions for treatment resistant late-life depression. Ageing Res Rev. 2025;102710. [DOI] [PubMed] [Google Scholar]
  • [15].Subramanian S, Oughli HA, Gebara MA, Palanca BJA, Lenze EJ. Treatment-resistant late-life depression: a review of clinical features, neuropsychology, neurobiology, and treatment. Psychiatr Clin North Am. 2023;46(2):371–89. doi: 10.1016/j.psc.2023.02.008. [DOI] [PubMed] [Google Scholar]
  • [16].Newman BM. Treatment-resistant depression in the elderly: diagnostic and treatment approaches. Curr Geriatr Rep. 2016;5(4):241–7. [Google Scholar]
  • [17].Flint AJ. Treatment-resistant depression in late life. CNS Spectr. 2002;7(10):733–8. [DOI] [PubMed] [Google Scholar]
  • [18].Thase ME, Rush AJ. When at first you don’t succeed: sequential strategies for antidepressant nonresponders. J Clin Psychiatry. 1997;58(Suppl 13):23–9. [PubMed] [Google Scholar]
  • [19].Barrett D, Heale R. What are Delphi studies? Evid Based Nurs. 2020;23(3):68–9. [DOI] [PubMed] [Google Scholar]
  • [20].Gill FJ, Leslie GD, Grech C, Latour JM. Using a web-based survey tool to undertake a Delphi study: application for nurse education research. Nurse Educ Today. 2013;33(11):1322–8. doi: 10.1016/j.nedt.2013.02.016. [DOI] [PubMed] [Google Scholar]
  • [21].Schifano J, Niederberger M. How Delphi studies in the health sciences find consensus: a scoping review. Syst Rev. 2025;14(1):14. doi: 10.1186/s13643-024-02738-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22].Gomes da Rocha C, von Gunten A, Vandel P, Jopp DS, Ribeiro O, Verloo H. Building consensus on the relevant criteria to screen for depressive symptoms among near-centenarians and centenarians: modified e-Delphi study. JMIR Aging. 2025;8:e64352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [23].Sforzini L, Worrell C, Kose M, Anderson IM, Aouizerate B, Arolt V, et al. A Delphi-method-based consensus guideline for definition of treatment-resistant depression for clinical trials. Mol Psychiatry. 2022;27(3):1286–99. doi: 10.1038/s41380-021-01381-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24].Spranger J, Homberg A, Sonnberger M, Niederberger M. Reporting guidelines for Delphi techniques in health sciences: a methodological review. Z Evid Fortbild Qual Gesundhwes. 2022;172:1–11. doi: 10.1016/j.zefq.2022.04.025. [DOI] [PubMed] [Google Scholar]
  • [25].Jünger S, Payne SA, Brine J, Radbruch L, Brearley SG. Guidance on conducting and REporting DElphi studies (CREDES) in palliative care: recommendations based on a methodological systematic review. Palliat Med. 2017;31(8):684–706. doi: 10.1177/0269216317690685. [DOI] [PubMed] [Google Scholar]
  • [26].Tedeschini E, Levkovitz Y, Iovieno N, Ameral VE, Nelson JC, Papakostas GI. Efficacy of antidepressants for late-life depression: a meta-analysis and meta-regression of placebo-controlled randomized trials. J Clin Psychiatry. 2011;72(12):1660–8. doi: 10.4088/JCP.10r06531. [DOI] [PubMed] [Google Scholar]
  • [27].Kuo C-Y, Lin C-H, Lane H-Y. Molecular basis of late-life depression. Int J Mol Sci. 2021;22(14):7421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [28].Pálsson SP, Östling S, Skoog I. The incidence of first-onset depression in a population followed from the age of 70 to 85. Psychol Med. 2001;31(7):1159–68. [DOI] [PubMed] [Google Scholar]
  • [29].Weyerer S, Eifflaender-Gorfer S, Wiese B, Luppa M, Pentzek M, Bickel H, et al. Incidence and predictors of depression in non-demented primary care attenders aged 75 years and older: results from a 3-year follow-up study. Age Ageing. 2013;42(2):173–80. doi: 10.1093/ageing/afs184. [DOI] [PubMed] [Google Scholar]
  • [30].Morichi V, Dell’Aquila G, Trotta F, Belluigi A, Lattanzio F, Cherubini A. Diagnosing and treating depression in older and oldest old. Curr Pharm Des. 2015;21(13):1690–8. [DOI] [PubMed] [Google Scholar]
  • [31].Roose SP, Sackeim HA, Krishnan KR, Pollock BG, Alexopoulos G, Lavretsky H, et al. Antidepressant pharmacotherapy in the treatment of depression in the very old: a randomized, placebo-controlled trial. Am J Psychiatry. 2004;161(11):2050–9. [DOI] [PubMed] [Google Scholar]
  • [32].Devita M, De Salvo R, Ravelli A, De Rui M, Coin A, Sergi G, et al. Recognizing depression in the elderly: practical guidance and challenges for clinical management. Neuropsychiatr Dis Treat. 2022;18:2867–80. doi: 10.2147/NDT.S347356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [33].McIntyre RS, Alsuwaidan M, Baune BT, Berk M, Demyttenaere K, Goldberg JF, et al. Treatment-resistant depression: definition, prevalence, detection, management, and investigational interventions. World Psychiatry. 2023;22(3):394–412. doi: 10.1002/wps.21120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [34].Health CCfSM. Canadian guidelines on prevention, assessment and treatment of depression among older adults.Toronto, Canada: Canadian Coalition for Seniors Mental Health; 2021. [Google Scholar]
  • [35].Houix M, Lepetit A, Arbus C, Armand-Branger S, Bonin-Guillaume S, Calvet B, et al. Optimizing antidepressant use in geriatric depression: expert consensus from French societies of geriatrics, old age psychiatry and clinical pharmacy (SFGG, SF3PA and SFPC). Eur Psychiatry. 2026;1–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Walaszek A. Optimizing the treatment of late-life depression. Am J Psychiatry. 2024;181(1):7–10. doi: 10.1176/appi.ajp.20230919. [DOI] [PubMed] [Google Scholar]
  • [37].Kok RM, Reynolds CF 3rd. Management of Depression in older adults: a review. JAMA. 2017;317(20):2114–22. doi: 10.1001/jama.2017.5706. [DOI] [PubMed] [Google Scholar]
  • [38].Demjaha A, Lappin JM, Stahl D, Patel MX, MacCabe JH, Howes OD, et al. Antipsychotic treatment resistance in first-episode psychosis: prevalence, subtypes and predictors. Psychol Med. 2017;47(11):1981–9. doi: 10.1017/S0033291717000435. [DOI] [PubMed] [Google Scholar]
  • [39].Howes OD, McCutcheon R, Agid O, de Bartolomeis A, van Beveren NJ, Birnbaum ML, et al. Treatment-resistant schizophrenia: treatment response and resistance in psychosis (TRRIP) working group consensus guidelines on diagnosis and terminology. Am J Psychiatry. 2017;174(3):216–29. doi: 10.1176/appi.ajp.2016.16050503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [40].Howes OD, Thase ME, Pillinger T. Treatment resistance in psychiatry: state of the art and new directions. Mol Psychiatry. 2022;27(1):58–72. doi: 10.1038/s41380-021-01200-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [41].Rapp MA, Dahlman K, Sano M, Grossman HT, Haroutunian V, Gorman JM. Neuropsychological differences between late-onset and recurrent geriatric major depression. Am J Psychiatry. 2005;162(4):691–8. [DOI] [PubMed] [Google Scholar]
  • [42].Alexopoulos GS. Mechanisms and treatment of late-life depression. Transl Psychiatry. 2019;9(1):188. doi: 10.1038/s41398-019-0514-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [43].Oude Voshaar RC. The ’discontinuity hypothesis’ of depression in later life-clinical and research implications. Age Ageing. 2023;52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [44].Dombrovski AY, Mulsant BH, Houck PR, Mazumdar S, Lenze EJ, Andreescu C, et al. Residual symptoms and recurrence during maintenance treatment of late-life depression. J Affect Disord. 2007;103(1–3):77–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [45].Hiranyatheb T, Nakawiro D, Wongpakaran T, Wongpakaran N, Bookkamana P, Pinyopornpanish M, et al. The impact of residual symptoms on relapse and quality of life among Thai depressive patients. Neuropsychiatr Dis Treat. 2016;12:3175–81. doi: 10.2147/NDT.S124277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [46].Demyttenaere K, Van Duppen Z. The impact of (the concept of) treatment-resistant depression: an opinion review. An Opinion Review Int J Neuropsychopharmacol. 2019;22(2):85–92. doi: 10.1093/ijnp/pyy052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [47].Mallery L, MacLeod T, Allen M, McLean-Veysey P, Rodney-Cail N, Bezanson E, et al. Systematic review and meta-analysis of second-generation antidepressants for the treatment of older adults with depression: questionable benefit and considerations for frailty. BMC Geriatr. 2019;19(1):306. doi: 10.1186/s12877-019-1327-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [48].Ang L, Lee MS, Song E, Lee HW, Cao L, Zhang J, et al. Psychotherapeutic treatments for depression in older adults. Cochrane Database Syst Rev. 2024;11(11):Cd015976. doi: 10.1002/14651858.CD015976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [49].Mulsant BH, Houck PR, Gildengers AG, Andreescu C, Dew MA, Pollock BG, et al. What is the optimal duration of a short-term antidepressant trial when treating geriatric depression? J Clin Psychopharmacol. 2006;26(2):113–20. [DOI] [PubMed] [Google Scholar]
  • [50].Andreescu C, Mulsant BH, Houck PR, Whyte EM, Mazumdar S, Dombrovski AY, et al. Empirically derived decision trees for the treatment of late-life depression. Am J Psychiatry. 2008;165(7):855–62. doi: 10.1176/appi.ajp.2008.07081340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [51].Kim HK, Blumberger DM, Karp JF, Lenze E, Reynolds CF, Mulsant BH. Venlafaxine XR treatment for older patients with major depressive disorder: decision trees for when to change treatment. Evid Based Ment Health. 2022;25(4):156–62. doi: 10.1136/ebmental-2022-300479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [52].Food US, Administration D. FDA Clears First Blood Test Used in Diagnosing Alzheimer’s Disease 2025. Available from: https://www.fda.gov/news-events/press-announcements/fda-clears-first-blood-test-used-diagnosing-alzheimers-disease.
  • [53].Ashton NJ, Brum WS, Di Molfetta G, Benedet AL, Arslan B, Jonaitis E, et al. Diagnostic accuracy of a plasma phosphorylated tau 217 immunoassay for Alzheimer disease pathology. JAMA Neurol. 2024;81(3):255–63. doi: 10.1001/jamaneurol.2023.5319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [54].Bavato F, Barro C, Schnider LK, Simrén J, Zetterberg H, Seifritz E, et al. Introducing neurofilament light chain measure in psychiatry: current evidence, opportunities, and pitfalls. Mol Psychiatry. 2024;29(8):2543–59. doi: 10.1038/s41380-024-02524-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [55].Eratne D, Kang MJY, Lewis C, Dang C, Malpas CB, Keem M, et al. Plasma and CSF neurofilament light chain distinguish neurodegenerative from primary psychiatric conditions in a clinical setting. Alzheimers Dement. 2024;20(11):7989–8001. doi: 10.1002/alz.14278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [56].Ossenkoppele R, Pichet Binette A, Groot C, Smith R, Strandberg O, Palmqvist S, et al. Amyloid and tau PET-positive cognitively unimpaired individuals are at high risk for future cognitive decline. Nat Med. 2022;28(11):2381–7. doi: 10.1038/s41591-022-02049-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [57].Rabinovici GD, Knopman DS, Arbizu J, Benzinger TLS, Donohoe KJ, Hansson O, et al. Updated appropriate use criteria for amyloid and tau PET: a report from the Alzheimer’s Association and Society for Nuclear Medicine and Molecular Imaging Workgroup. Alzheimers Dement. 2025;21(1):e14338. doi: 10.1002/alz.14338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [58].Palmqvist S, Rossi M, Hall S, Quadalti C, Mattsson-Carlgren N, Dellavalle S, et al. Cognitive effects of Lewy body pathology in clinically unimpaired individuals. Nat Med. 2023;29(8):1971–8. doi: 10.1038/s41591-023-02450-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [59].Morimoto SS, Kanellopoulos D, Alexopoulos GS. Cognitive impairment in depressed older adults: implications for prognosis and treatment. Psychiatr Ann. 2014;44(3):138–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [60].Yan Y, Xiang H, Wang M, Wei J, Fan H, Du Y, et al. Effects of depression and cognitive impairment on increased risks of incident dementia: a prospective study from three elderly cohorts. Transl Psychiatry. 2024;14(1):427. doi: 10.1038/s41398-024-03125-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [61].Mueller C, Pozuelo Moyano B. Cognitive recovery as a target in treatment-resistant late-life depression: progress made, challenges remain. Lancet Healthy Longev. 2025;6(10):100780. doi: 10.1016/j.lanhl.2025.100780. [DOI] [PubMed] [Google Scholar]
  • [62].Diniz BS, Sibille E, Ding Y, Tseng G, Aizenstein HJ, Lotrich F, et al. Plasma biosignature and brain pathology related to persistent cognitive impairment in late-life depression. Mol Psychiatry. 2015;20(5):594–601. doi: 10.1038/mp.2014.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [63].Yuen GS, Bhutani S, Lucas BJ, Gunning FM, AbdelMalak B, Seirup JK, et al. Apathy in late-life depression: common, persistent, and disabling. Am J Geriatr Psychiatry. 2015;23(5):488–94. doi: 10.1016/j.jagp.2014.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [64].Rossom RC, Shortreed S, Coleman KJ, Beck A, Waitzfelder BE, Stewart C, et al. Antidepressant adherence across diverse populations and healthcare settings. Depress Anxiety. 2016;33(8):765–74. doi: 10.1002/da.22532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [65].Hidalgo-Mazzei D, Berk M, Cipriani A, Cleare AJ, Florio AD, Dietch D, et al. Treatment-resistant and multi-therapy-resistant criteria for bipolar depression: consensus definition. Br J Psychiatry. 2019;214(1):27–35. doi: 10.1192/bjp.2018.257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [66].Holvast F, Oude Voshaar RC, Wouters H, Hek K, Schellevis F, Burger H, et al. Non-adherence to antidepressants among older patients with depression: a longitudinal cohort study in primary care. Fam Pract. 2018;36(1):12–20. [DOI] [PubMed] [Google Scholar]
  • [67].Albrecht JS, Khokhar B, Huang TY, Wei YJ, Harris I, Moyo P, et al. Adherence and healthcare utilization among older adults with COPD and depression. Respir Med. 2017;129:53–8. doi: 10.1016/j.rmed.2017.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [68].Hiemke C, Bergemann N, Clement H, Conca A, Deckert J, Domschke K, et al. Consensus guidelines for therapeutic drug monitoring in neuropsychopharmacology: update 2017. Pharmacopsychiatry. 2018;51(01/02):9–62. [DOI] [PubMed] [Google Scholar]
  • [69].Cleare A, Pariante CM, Young AH, Anderson IM, Christmas D, Cowen PJ, et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2008 British Association for Psychopharmacology guidelines. J Psychopharmacol. 2015;29(5):459–525. doi: 10.1177/0269881115581093. [DOI] [PubMed] [Google Scholar]
  • [70].Higgins N, Livingston G, Katona C. Concordance therapy: an intervention to help older people take antidepressants. J Affect Disord. 2004;81(3):287–91. [DOI] [PubMed] [Google Scholar]
  • [71].Donohue JM, Zhang Y, Aiju M, Perera S, Lave JR, Hanlon JT, et al. Impact of Medicare part D on antidepressant treatment, medication choice, and adherence among older adults with depression. Am J Geriatr Psychiatry. 2011;19(12):989–97. doi: 10.1097/JGP.0b013e3182051a9b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [72].Fusco N, Sils B, Graff JS, Kistler K, Ruiz K. Cost-sharing and adherence, clinical outcomes, health care utilization, and costs: a systematic literature review. J Manag Care Spec Pharm. 2023;29(1):4–16. doi: 10.18553/jmcp.2022.21270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [73].Mao A, Tam L, Xu A, Osborn K, Sheffrin M, Gould C, et al. Barriers to telemedicine video visits for older adults in independent living facilities: mixed methods cross-sectional needs assessment. JMIR Aging. 2022;5(2):e34326. doi: 10.2196/34326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [74].Choi NG, Choi BY, Marti CN. Digital divide among homebound and semi-homebound older adults. J Appl Gerontol. 2025;44(6):970–80. doi: 10.1177/07334648241292971. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [75].(SIWF) SIfPaCME. Psychiatry and psychotherapy – Specialist titles and postgraduate training [Psychiatrie et psychothérapie – Titres de spécialiste et formations postgraduées] 2026. Available from: https://www.siwf.ch/fr/formation-postgraduee/titres-specialiste-formations/psychiatrie-et-psychotherapie.cfm.
  • [76].Hohagen F, Berger M. The new German specialist for psychiatry and psychotherapy and its consequences for advanced training programs. Eur Psychiatry. 1994;9(5):265–71. [Google Scholar]
  • [77].Krell-Roesch J, Syrjanen JA, Kremers WK, Barisch-Fritz B, Krafft J, Johnson D, et al. Associations of mid-and late-life physical activities with new-onset depression and anxiety among older adults. J Neuropsychiatry Clin Neurosci. 2025;20240255. [DOI] [PubMed] [Google Scholar]
  • [78].Bigarella LG, Ballotin VR, Mazurkiewicz LF, Ballardin AC, Rech DL, Bigarella RL, et al. Exercise for depression and depressive symptoms in older adults: an umbrella review of systematic reviews and meta-analyses. Aging Ment Health. 2022;26(8):1503–13. doi: 10.1080/13607863.2021.1951660. [DOI] [PubMed] [Google Scholar]
  • [79].Knochel C, Alves G, Friedrichs B, Schneider B, Schmidt-Rechau A, Wenzler S, et al. Treatment-resistant late-life depression: challenges and perspectives. Curr Neuropharmacol. 2015;13(5):577–91. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Pozuelo Moyano et al. supplementary material

Pozuelo Moyano et al. supplementary material

DOI: 10.1192/j.eurpsy.2026.12228.sm001

Data Availability Statement

All data generated or analysed during this study are included in this published article.


Articles from European Psychiatry are provided here courtesy of Cambridge University Press

RESOURCES