metricas
covid
Buscar en
Spanish Journal of Psychiatry and Mental Health
Toda la web
Inicio Spanish Journal of Psychiatry and Mental Health Depression and suicidality severity among TRD patients after 1-year under standa...
Información de la revista
Vol. 16. Núm. 2.
Páginas 85-94 (abril - junio 2023)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
803
Vol. 16. Núm. 2.
Páginas 85-94 (abril - junio 2023)
Original article
Acceso a texto completo
Depression and suicidality severity among TRD patients after 1-year under standard of care: Findings from the TRAL study, a multicenter, multinational, observational study in Latin America
Visitas
803
Marco Antonio Caldieraroa,b, Teng Chei Tungc, Lina Maria Agudelo Baenad, Manuel Vilapriño Duprate, Ricardo Marcelo Corralf, Luis Daniel Alviso de la Sernag, Erasmo Saucedoh, Gabriela Kanevskyi,
Autor para correspondencia
gkanevsk@its.jnj.com

Corresponding author.
, Patricia Cabreraj
a Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
b Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
c Departamento de Psiquiatria, Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, São Paulo, Brazil
d Hospital Mental de Antioquia, Bello, Antioquia, Colombia
e Médico Psiquiatra, Centro de Estudios Asistencia e Investigación en Neurociencias (CESASIN), Mendoza, Argentina
f Médico especialista en Psiquiatría; Presidente Fundación Estudio y Tratamiento de las Enfermedades Mentales, Buenos Aires, Argentina
g Avalon Salud, Vinculacion Medica en Salud Mental – Ciudad de México, Mexico
h Departamento de Psiquiatría del Hospital Universitario de la Universidad Autónoma de Nuevo León/CIT-Neuropsique S.C (Centro de Investigación y Terapia), Argentina
i Janssen-Cilag Farmacéutica (Argentina), Mendoza, Buenos Aires, Argentina
j Janssen, Pharmaceutical Companies, Titusville, NJ, USA
Ver más
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Tablas (5)
Table 1. Sociodemographic data and disease course at visit 1 (baseline).
Table 2. Evolution of symptoms among TRD patients over one year of SOC.
Table 3. Montgomery-Asberg Depression Scale (MADRS) over a 1-year follow-up with SOC.
Table 4. TRD patients scores in Columbia-suicide severity rating scale (C-SSRS) at baseline.
Table 5. Longitudinal analysis of Columbia-suicide severity rating scale (C-SSRS) – Visit 2, Visit 3, Visit 4 and end of study visit.
Mostrar másMostrar menos
Material adicional (1)
Abstract
Introduction

Treatment resistant depression (TRD) is one of the most pressing issues in mental healthcare in LatAm. However, clinical data and outcomes of standard of care (SOC) are scarce. The present study reported on the Treatment-Resistant Depression in America Latina (TRAL) project 1-year follow-up of patients under SOC assessing clinical presentation and outcomes.

Materials and methods

420 patients with clinical diagnoses of TRD from Argentina, Brazil, Colombia and Mexico were included in a 1-year follow-up to assess clinical outcomes of depression (MADRS) and suicidality (C-SSRS), as well as evolution of clinical symptoms of depression. Patients were assessed every 3 months and longitudinal comparison was performed based on change from baseline to each visit and end of study (12 months). Socio demographic characterization was also performed.

Results

Most patients were female (80.9%), married (42.5%) or single (34.4%), with at least 10 years of formal education (71%). MDD diagnosis was set at 37.29 (SD=14.00) years, and MDD duration was 11.11 years (SD=10.34). After 1-year of SOC, 79.1% of the patients were still symptomatic, and 40% of the patients displayed moderate/severe depression. Only 44.1% of the patients achieved a response (≥50% improvement in MADRS), and 60% of the sample failed to achieve remission. Suicidal ideation was reported by more than half of the patients at the end of study.

Conclusions

Depression and suicidality symptoms after a 1-year of SOC is of great concern. Better therapeutic options are needed to tackle this debilitating and burdensome disease.

Keywords:
Major depressive disorder
Treatment-resistant depression
Observational study
Depression
Suicidality
Texto completo
Introduction

Major Depressive Disorder (MDD) is an affective disorder and one of the most severe forms of depression, affecting around 6% of the world's population and significantly contributing to worldwide disability.1–3

MDD patients frequently fail to recover under current Standard-of-care (SOC),4 often leading to the development of Treatment-Resistant Depression (TRD). TRD has been reported in over one-third of MDD patients.5–7 This more severe form of MDD is usually defined as a failure to respond to two or more antidepressants at therapeutic doses, over an appropriate period of time, within the current depressive episode,8 even though the definition is debatable.

TRD burden is higher than MDD, straining all stakeholders (from patients to healthcare decision makers). TRD patients display longer course of illness, higher rates of suicidal ideation and suicide-related occurrences, translating into higher economic, work productivity and healthcare burden of the disease, and a detrimental impact on quality of life,5,9–14 compared to MDD patients.13,15,16 A direct comparison of TRD and non-TRD patients from data in Spain further underlined the added economic burden of the condition,17 while the EPICO study presented the noticeable impact of depressive disorders in Spain.18 Moreover, the longer course of illness negatively impacts on the severity of suicide/suicide-related outcomes, the most burdensome symptom. TRD onset and age at first suicidal thought both act as predictors for suicidality.19,20

SOC includes a large spectrum of treatment options and depends on the severity of TRD. Antidepressants (AD) are the first-line of treatment, which can be switched after a short period of non-response (usually a minimum of 4 weeks). Other options include antipsychotics and combinations with other available treatments (such as psychotherapy and electroconvulsive therapy).21–25 Therapeutic choice is also influenced by disease stage (acute, continuation and maintenance), and can include combination, augmentation and potentiation strategies.26 Treatment remains a pressing issue and an unmet need in MDD/TRD, since the proportion of patients with clinical response to treatment is far from the desirable outcomes.9 This is evident regardless of the treatment guidelines followed,21–25,27 suggesting the need for more efficacious treatments.28,29 However, data on the outcomes of SOC provided for TRD in LatAm are scarce.

The TRAL (Treatment-Resistant Depression in America Latina) was a multinational study aiming primarily to estimate the prevalence of TRD among MDD patients routinely followed at public and private healthcare settings, in the study's phase 1. This characterization provided much needed insights and robust data on TRD clinical characterization, including psychiatric/clinically symptoms, as well burden of the disease. This paper reports on the phase 2 of the study, which included a 1-year follow-up of the prevalent pool of TRD patients identified in Phase 1 under SOC. The main objectives were to assess disease presentation and clinical outcomes.

Materials and methodsStudy design and population

TRAL was a multicenter, multinational, observational study conducted in a real-world setting (October 2017–December 2018) which included regional psychiatric sites from Argentina, Brazil, Colombia and Mexico. The TRAL study was designed with two distinct phases: Phase 1 (cross-sectional)30,31 focused on epidemiology of TRD, and a phase 2 follow-up of TRD patients. Phase 2 was focused on a 1-year follow-up of TRD patients under SOC, assessing clinical and safety outcomes (e.g. clinical depression and suicidal ideation) and changes in several dimensions (e.g. quality of life, disability). The present analysis refers to the analysis of clinical outcomes after 1-year follow-up of TRD patients under SOC in the LatAm. Regional centers were all reference psychiatric treatment sites, including general hospitals, public and private psychiatric hospitals (see supplemental Table 1). Centers were selected to ensure a correct representation of the context in 4 LatAm countries. From 430 TRD patients clinically diagnosed with TRD based on DSM-5 criteria, confirmed by MINI, and according to the study's TRD definition, a sample of 420 patients were included in phase 2 analysis. A full list of inclusion and exclusion criteria for the study has been previously published (Soares et al., 2021; Corral et al., 2022).

Data and assessments

Assessments were based on validated measures and efforts were implemented to ensure that the person who collected the information was the same between baseline and follow-up. Montgomery – Åsberg Depression Rating Scale (MADRS)32 is a 10-item scale used to assess depression severity, which shows a good discrimination between responders/non-responders to antidepressants, particularly to assess response to SOC over time. The following variables were calculated: (a) Change of MADRS score from visit 1 (%) – The following formula must be considered:

(b) Response – Yes – Patients with a reduction of ≥50% in the total MADRS score as compared to visit 1 score; (c) Remission – Yes – Patients with MADRS total score12; (d) Relapse – Yes – Patients with response in the previous visit but without response in the current visit.

TRD diagnosis was based on the following criteria: patients had to be followed up adequately and treated with ≥2 antidepressants in the current episode, with absence of response to treatment based on MADRS.8

Columbia-Suicide Severity Rating Scale (C-SSRS) is a 10-item scale that assesses suicide severity, having several versions to ensure lifetime characterization, current (last month) or since last previous assessment. The following measures were calculated: (a) Suicidal Ideation Score, (b) Suicidal ideation (dichotomous), (c) Suicidal behavior (dichotomous), (d) Suicidal ideation or behavior (dichotomous), (e) Treatment-emergent suicidal ideation compared to recent history, (f) Treatment-emergent serious suicidal ideation compared to recent history, (g) Emergence of serious suicidal ideation compared to recent history, (h) Improvement in suicidal ideation at a time point of interest compared to Visit 1, (i) Emergence of suicidal behavior compared to all prior history, (j) Treatment-emergent suicidal ideation compared to all prior history, (k) Emergence of serious suicidal ideation compared to all prior history, (l) Treatment-emergent serious suicidal ideation compared to all prior history, and (m) Risk of suicide. Scoring and other calculations can be found in Supplemental Table 2.

Sociodemographic and clinical features at baseline were collected and assessed by a physician, while clinical features were again collected at the end of the study.

Written informed consent was obtained from all participants. The study was approved by local Independent Ethics Committee/Institutional Review Board.

Statistical analysis

Sample size was calculated in accordance with the percentage of patients that are resistant to the SOC and considering a type I error value of 5% (α=0.05), a type II error value of 20% (β=0.20), for a 21.7% prevalence with a 95% confidence and 80% power. 334 testable patients were required as sample size (387 patients’ recruitment considering a 15% surplus for possible sample losses).

The overall TRD sample in LatAm included 420 patients. A 1-year follow-up of 387 individuals with TRD – later increased to 420 based on the clinical diagnosis of treatment resistance – was performed, from a sample of 1544 MDD patients evenly distributed across countries, in accordance with ongoing assessments during the development of the project. When TRD patients quota was achieved, all remaining TRD patients were not included in the phase 2 sample.

Quantitative variables were summarized as mean, median, standard deviation minimum and maximum, and qualitative variables were summarized as absolute frequency and percentage, overall and by TRD and non-TRD subgroups. Longitudinal comparisons on clinical outcomes were performed with a Generalized estimating equation model for a 95% Confidence interval. Co-variables were not included in the model.

There was no imputation of missing data. Statistical significance was set at 5%. Statistical analysis was performed using SAS® (version 9.4, SAS Institute Inc., Cary).

ResultsPatient disposition, sociodemographic characteristics and disease course at visit 1

From an initial sample of 1475 MDD patients enrolled in 4 LatAm countries, 430 were diagnosed with TRD. Sociodemographic characterization was based in the initial set of 430 patients with TRD at visit 1 (baseline). Still, only 420 patients with TRD were included in the second phase (1-year follow-up) of the study due to: (1) quota for inclusion in the longitudinal phase already achieved [n=5], (2) non-compliance with the protocol [n=2], (3) phase 2 inclusion criteria not met [n=2], and (4) refusal to participate in phase 2 [n=1].

Over 75% (n=317) of the patients included in Phase 2 completed the 1-year follow-up. For the ones not completing the follow-up, 60 (58.3%) were losses to follow-up, 13 (12.6%) withdrew the consent, 3 (2.9%) died and 27 (26.2%) were lost due to unspecified reasons.

Table 1 presents the sociodemographic data at baseline. Mean age was approximately 48 years (± 13.12), with a higher proportion of female patients (80.9%). Concerning marital status, 42.5% of patients were married or in a consensual union and 34.4% were single. The majority (71%) of patients has at least 10 years of formal education.

Table 1.

Sociodemographic data and disease course at visit 1 (baseline).

  TRD (n=430) 
Age (years)
N  430 
Mean  48.49 
Median  49.00 
Standard deviation  13.12 
Minimum  18.00 
Maximum  83.00 
Gender,n(%)
Female  348 (80.9%) 
Male  82 (19.1%) 
Total  430 
Marital status,n(%)
Single  146 (34.4%) 
Married/consensual union  180 (42.5%) 
Divorced/separated  70 (16.5%) 
Widower  28 (6.6%) 
Total  424 
Years of formal education,n(%)
0  1 (0.3%) 
1–4 years  16 (4.1%) 
5–9 years  97 (24.7%) 
10–12 years  108 (27.6%) 
≥13 years  170 (43.4%) 
Total  392 
Age at diagnosis (years)
N  415 
Mean  37.29 
Standard deviation  14.00 
Minimum  5.00 
Maximum  77.00 
MDD disease duration (years)
N  415 
Mean  11.11 
Standard deviation  10.34 
Minimum  0.00 
Maximum  69.23 
Hospitalization due MDD in the last year,n(%)  42 (9.8%) 
Number of hospitalizations in the last year
N  42 
Mean  1.21 
Standard deviation  0.68 
Minimum  1.00 
Maximum  4.00 
Number of days hospitalized in the last year
N  26 
Mean  54.19 
Standard deviation  106.97 
Minimum  1.00 
Maximum  430.00 

TRD, Treatment Resistant Depression.

Mean age at diagnosis was 37.3 (± 14.0) years and overall MDD duration was 11.1±10.3 years – Table 1. Nearly 10% of patients were hospitalized in the previous year due to MDD. The mean number of hospitalizations in the same period was 1.2 (± 0.7) with a mean duration of 54.0 (± 107) days.

Prior medical conditions and treatment at visit 1

Almost two-thirds of the patients (63.5%) reported another disease besides MDD, with a higher. Cardiovascular and endocrinological diseases were the most frequent among TRD patients. The proportion of cardiovascular diseases was 50.9%, followed by endocrinological (48.0%), skeletal muscle diseases (27.8%) and digestive diseases (26.7%) (supplemental Table 3).

Concerning treatment at baseline, 97.0% of the patients had previous psychiatric medication and 10.5% had other previous relevant medication. At visit 1, 97.4% of the patients were on treatment with relevant psychiatric therapy and 48.1% with other relevant therapy.

Selective-Serotonin Reuptake Inhibitors (SSRI) was the most frequent class of antidepressants reported as current medication (57.9%), followed by Antipsychotics (41.6%) and Serotonin and Noradrenaline Reuptake Inhibitors (SNRI) (40.5%) (supplemental Table 4).

Symptom evolution over 1 year

Results on symptoms evolution are presented in Table 2. At visit 1, the great majority (96.7%) of patients reported fatigue and decreased energy, persistent sad, anxious or ‘empty’ feeling (98.6%), loss of interest in activities or hobbies once pleasurable, including sex (95.6%) and difficulty concentrating, remembering details and making decisions (92.1%). The proportion of symptomatic patients decreased after one year (from 99.8% to 79.1%), but most relevant symptoms of TRD persisted. More than 50% of the patients report TRD related symptoms in most categories, such as persistent sad, anxious or “empty” feelings, feelings of hopelessness and/or pessimism, feelings of guilt, worthlessness and/or helplessness, loss of interest in activities or hobbies once pleasurable, including sex, fatigue and decreased energy, as well as difficulty concentrating, remembering details and making decisions. Almost 15% of the patients still reported thoughts of suicide, and/or suicide attempts after 1-year of SOC.

Table 2.

Evolution of symptoms among TRD patients over one year of SOC.

  Visit 1 (n=430)  End of study (n=332) 
Persistent sad, anxious or “empty” feelings, n (%)
Yes  424 (98.6%)  215 (65.2%) 
Total  430  330 
Feelings of hopelessness and/or pessimism, n (%)
Yes  390 (90.7%)  185 (56.2%) 
Total  430  329 
Feelings of guilt, worthlessness and/or helplessness, n (%)
Yes  357 (83.0%)  174 (52.9%) 
Total  430  329 
Irritability, restlessness, n (%)
Yes  349 (81.5%)  162 (49.2%) 
Total  428  329 
Loss of interest in activities or hobbies once pleasurable, including sex, n (%)
Yes  411 (95.6%)  184 (55.8%) 
Total  430  330 
Fatigue and decreased energy, n (%)
Yes  416 (96.7%)  218 (66.1%) 
Total  430  330 
Difficulty concentrating, remembering details and making decisions, n (%)
Yes  396 (92.1%)  201 (60.9%) 
Total  430  330 
Insomnia, early-morning wakefulness, or excessive sleeping, n (%)
Yes  357 (83.0%)  140 (42.4%) 
Total  430  330 
Overeating, or appetite loss, n (%)
Yes  324 (75.3%)  129 (39.1%) 
Total  430  330 
Thoughts of suicide, suicide attempts, n (%)
Yes  166 (38.6%)  47 (14.2%) 
Total  430  330 
Persistent aches or pains, headaches, cramps or digestive problems that do not ease even with treatment, n (%)
Yes  244 (56.7%)  144 (43.8%) 
Total  430  329 
Treated with Vagal Nerve Stimulation (VNS) in current episode of depression, n (%)
Yes  4 (0.9%)  – 
Total  430  – 
Treated with Deep Brain Stimulation (DBS) in current episode of depression, n (%)
Yes  5 (1.2%)  – 
Total  430  – 
Current status, n (%)
Asymptomatic  1 (0.2%)  69 (20.9%) 
Symptomatic  429 (99.8%)  261 (79.1%) 
Total  430  330 
Depression and suicide severity of TRD patientsMontgomery-Asberg Depression Scale (MADRS)

The average MADRS score at visit 1 was 29.3 (range: 9–50) – Table 3. MADRS total score varied significantly over time (p<0.0001), with a mean monthly variation of 0.95 points (B=−0.951).

Table 3.

Montgomery-Asberg Depression Scale (MADRS) over a 1-year follow-up with SOC.

  Visit 1 (n=430)  Visit 2 (n=368)  Visit 3 (n=349)  Visit 4 (n=335)  End of studyb (n=332) 
Total scorea
N  430  368  349  335  331 
Mean  29.34  22.51  20.86  18.73  17.47 
Standard deviation  7.91  10.47  10.76  11.43  12.08 
Minimum  9.00  0.00  0.00  0.00  0.00 
Maximum  50.00  51.00  48.00  49.00  48.00 
GEE model
B (linear regression parameter)  −0.951
95% CI  [−1.055; −0.846]
p-Value  <0.0001
Symptom absent (0–6)  32 (8.7%)  37 (10.6%)  54 (16.1%)  65 (19.6%) 
Mild depression (7–19)  56 (13.0%)  110 (29.9%)  129 (37.0%)  134 (40.0%)  142 (42.9%) 
Moderate (20–34)  264 (61.4%)  176 (47.8%)  136 (39.0%)  112 (33.4%)  90 (27.2%) 
Severe depression (35–60)  110 (25.6%)  50 (13.6%)  47 (13.5%)  35 (10.4%)  34 (10.3%) 
Symptom absent/mild depression/moderate (0–34)  320 (74.4%)  318 (86.4%)  302 (86.5%)  300 (89.6%)  297 (89.7%) 
Change in total score from visit 1 (%)
N  –  368  349  335  331 
Mean  –  −21.95  −27.05  −34.54  −39.70 
Standard deviation  –  32.40  34.79  36.64  38.02 
Minimum  –  −100.00  −100.00  −100.00  −100.00 
Maximum  –  118.75  141.18  87.50  100.00 
Response (Reduction ≥50% in the MADRS total score),n(%)
Yes  –  69 (18.8%)  84 (24.1%)  115 (34.3%)  146 (44.1%) 
Total  –  368  349  335  331 
Remission (MADRS total score ≤12),n(%)
Yes  –  68 (18.5%)  77 (22.1%)  108 (32.2%)  133 (40.2%) 
Total  –  368  349  335  331 
Relapse,n(%)
Yes  –  –  23 (6.7%)  19 (5.8%)  16 (5.0%) 
Total  –  –  341  330  323 

TRD, Treatment Resistant Depression; GEE, Generalized estimating equation; 95%CI, 95% confidence interval.

a

Range: 0–60. Higher values indicate a higher level of depression.

b

End of study – final visit, after 1 year follow-up.

One quarter (25.6%) of the patients had severe depression at visit 1. At the end of study, the proportion of patients with severe depression was 10.3%, and moderate depression still afflicted 27.2% of the patients. Overall, symptoms were still present in 80.4% of the patients at the end of study.

Only 44.1% of the patients achieved a response (reduction50% in the MADRS total score) at the end of study visit. Around 5% of the TRD sample showed clinically diagnosed relapse at the end of study visit after 1-year of SOC, and remission was not achieved by almost 60% of the patients.

Columbia-Suicide Severity Rating Scale (C-SSRS)

At visit 1, 62.8% of the TRD patients wished to be dead (lifetime) and 44.0% in past month (Table 4). During the follow up, wish to be dead was reported by 32.9% of the patients at visit 2 and 22.7% at the end of the study, considering the evolution since last visit (Table 5). This underlines that a significant proportion of patients still wished to be dead after 1-year of SOC. Also of note is the proportion of patients (10.8%) with persistent/continuous suicidal ideation after 1-year. More than half (57.6%) of TRD patients had active suicidal ideation with specific plan and intent (lifetime), 19% in the past 1 month. Overall, during the study, around 55% of the patients reported suicidal ideation. Also, 23.4% of the sample developed treatment-emergent suicidal ideation – both compared to recent history and to all prior clinical history.

Table 4.

TRD patients scores in Columbia-suicide severity rating scale (C-SSRS) at baseline.

  Visit 1 – TRD (n=430) 
Suicidal ideation
Wish to be dead
Lifetime, n (%)
Yes  270 (62.8%) 
Total  430 
Past 1 month, n (%)
Yes  189 (44.0%) 
Total  430 
Active suicidal ideation with specific plan and intent
Lifetime, n (%)
Yes  118 (57.6%) 
Total  205 
Past 1 month, n (%)
Yes  39 (19.0%) 
Total  205 
Duration of thoughts
Lifetime, n (%)
Fleeting – few seconds or minutes  76 (28.5%) 
Less than 1h/some of the time  54 (20.2%) 
1–4h/a lot of time  52 (19.5%) 
4–8h/most of day  35 (13.1%) 
More than 8h/persistent or continuous  50 (18.7%) 
Total  267 
Past 1 month, n (%)
Fleeting – few seconds or minutes  76 (40.9%) 
Less than 1h/some of the time  40 (21.5%) 
1–4h/a lot of time  45 (24.2%) 
4–8h/most of day  10 (5.4%) 
More than 8h/persistent or continuous  15 (8.1%) 
Total  186 
Controllability
Lifetime, n (%)
Does not attempt to control thoughts  19 (7.1%) 
Easily able to control thoughts  57 (21.3%) 
Can control thoughts with little difficulty  38 (14.2%) 
Can control thoughts with some difficulty  39 (14.6%) 
Can control thoughts with a lot of difficulty  47 (17.5%) 
Unable to control thoughts  68 (25.4%) 
Total  268 
Past 1 month, n (%)
Does not attempt to control thoughts  14 (7.5%) 
Easily able to control thoughts  54 (28.9%) 
Can control thoughts with little difficulty  26 (13.9%) 
Can control thoughts with some difficulty  34 (18.2%) 
Can control thoughts with a lot of difficulty  26 (13.9%) 
Unable to control thoughts  33 (17.6%) 
Total  187 
Reasons for ideation
Lifetime, n (%)
Does not apply  12 (4.5%) 
Completely to get attention, revenge or a reaction from others  22 (8.2%) 
Mostly to get attention, revenge or a reaction from others  6 (2.2%) 
Equally to get attention, revenge or a reaction from others to end/stop the pain  21 (7.8%) 
Mostly to end or stop the pain (you couldn’t go on living with the pain or how you were feeling)  65 (24.3%) 
Completely to end or stop the pain (you couldn’t go on and with the pain or how you were feeling)  142 (53.0%) 
Total  268 
Past 1 month, n (%)
Does not apply  17 (9.1%) 
Completely to get attention, revenge or a reaction from others  15 (8.0%) 
Mostly to get attention, revenge or a reaction from others  1 (0.5%) 
Equally to get attention, revenge or a reaction from others to end/stop the pain  11 (5.9%) 
Mostly to end or stop the pain (you couldn’t go on living with the pain or how you were feeling)  39 (20.9%) 
Completely to end or stop the pain (you couldn’t go on and with the pain or how you were feeling)  104 (55.6%) 
Total of attempts
Lifetime
N  351 
Mean  0.87 
Median  0.00 
Standard deviation  2.05 
Minimum  0.00 
Maximum  20.00 
Past 3 months
N  341 
Mean  0.09 
Median  0.00 
Standard deviation  0.33 
Minimum  0.00 
Maximum  3.00 
Lethality
Potential lethality
Most recent attempt, n (%)
0. Behavior not likely to result in injury  11 (36.7%) 
1. Behavior likely to result in injury but not likely to cause death  3 (10.0%) 
2. Behavior likely to result in death despite available medical care  16 (53.3%) 
Total  30 
Most lethal attempt, n (%)
0. Behavior not likely to result in injury  10 (35.7%) 
1. Behavior likely to result in injury but not likely to cause death  3 (10.7%) 
2. Behavior likely to result in death despite available medical care  15 (53.6%) 
Total  28 
Initial/first attempt, n (%)
0. Behavior not likely to result in injury  12 (41.4%) 
1. Behavior likely to result in injury but not likely to cause death  3 (10.3%) 
2. Behavior likely to result in death despite available medical care  14 (48.3%) 
Total  29 
Suicidal ideation scorea
N  204 
Mean  3.93 
Standard deviation  1.10 
Minimum  2.00 
Maximum  5.00 
Suicidal ideation scorea, n (%)
No 
Yes  272 (100.0%) 
Total  272 
Suicidal behavior scorea, n (%)
No  288 (67.1%) 
Yes  141 (32.9%) 
Total  429 
a

The scores were computed based only for visit 1 information. Patients with missing information in at least one variable were excluded from analysis.

Table 5.

Longitudinal analysis of Columbia-suicide severity rating scale (C-SSRS) – Visit 2, Visit 3, Visit 4 and end of study visit.

  Visit 2 (n=368)  Visit 3 (n=349)  Visit 4 (n=335)  End of study (n=332)  Overall 
Suicidal ideation – since last visit
Wish to be dead, n (%) (Q1)
Yes  121 (32.9%)  89 (25.5%)  90 (26.9%)  75 (22.7%)  – 
Total  368  349  335  331  – 
Active suicidal ideation with specific plan and intent, n (%) (Q5)
Yes  20 (36.4%)  5 (10.6%)  10 (21.3%)  13 (28.3%)  – 
Total  55  47  47  46  – 
Suicidal ideationa, n (%)
Yes  121 (32.9%)  90 (25.8%)  90 (26.9%)  75 (22.7%)  229 (54.5%) 
Total  368  349  335  331  420 
Suicidal ideation scoreb
N  368  349  335  331  – 
Mean  0.70  0.51  0.58  0.56  – 
Median  0.00  0.00  0.00  0.00  – 
Standard deviation  1.30  1.05  1.19  1.27  – 
Minimum  0.00  0.00  0.00  0.00  – 
Maximum  5.00  5.00  5.00  5.00  – 
Duration of thoughts, n (%)
Fleeting – few seconds or minutes  50 (41.3%)  25 (27.8%)  31 (34.4%)  19 (25.7%)  – 
Less than 1h/some of the time  28 (23.1%)  26 (28.9%)  20 (22.2%)  17 (23.0%)  – 
1–4h/a lot of time  20 (16.5%)  18 (20.0%)  21 (23.3%)  21 (28.4%)  – 
4–8h/most of day  9 (7.4%)  9 (10.0%)  9 (10.0%)  9 (12.2%)  – 
More than 8h/persistent or continuous  14 (11.6%)  12 (13.3%)  9 (10.0%)  8 (10.8%)  – 
Total  121  90  90  74  – 
Controllability, n (%)
Does not attempt to control thoughts  2 (1.7%)  2 (2.2%)  5 (5.6%)  4 (5.4%)  – 
Easily able to control thoughts  39 (32.2%)  21 (23.3%)  22 (24.4%)  14 (18.9%)  – 
Can control thoughts with little difficulty  22 (18.2%)  21 (23.3%)  18 (20.0%)  12 (16.2%)  – 
Can control thoughts with some difficulty  23 (19.0%)  27 (30.0%)  21 (23.3%)  19 (25.7%)  – 
Can control thoughts with a lot of difficulty  24 (19.8%)  9 (10.0%)  9 (10.0%)  14 (18.9%)  – 
Unable to control thoughts  11 (9.1%)  10 (11.1%)  15 (16.7%)  11 (14.9%)  – 
Total  121  90  90  74  – 
Reasons for ideation, n (%)
Does not apply  6 (5.0%)  6 (6.7%)  1 (1.1%)  4 (5.3%)  – 
Completely to get attention, revenge or a reaction from others  8 (6.6%)  5 (5.6%)  4 (4.5%)  2 (2.7%)  – 
Mostly to get attention, revenge or a reaction from others  7 (5.8%)  2 (2.2%)  2 (2.2%)  2 (2.7%)  – 
Equally to get attention, revenge or a reaction from others to end/stop the pain  8 (6.6%)  7 (7.8%)  5 (5.6%)  3 (4.0%)  – 
Mostly to end or stop the pain (you couldn’t go on living with the pain or how you were feeling)  21 (17.4%)  19 (21.1%)  9 (10.1%)  13 (17.3%)  – 
Completely to end or stop the pain (you couldn’t go on and with the pain or how you were feeling)  71 (58.7%)  51 (56.7%)  68 (76.4%)  51 (68.0%)  – 
Total  121  90  89  75  – 
Treatment-emergent suicidal ideation compared to recent history, n (%)
Yes  –  –  –  –  89 (23.4%) 
Total  –  –  –  –  380 
Treatment-emergent serious suicidal ideation compared to recent history, n (%)
Yes  –  –  –  –  23 (6.1%) 
Total  –  –  –  –  380 
Emergence of serious suicidal ideation compared to recent history, n (%)
Yes  –  –  –  –  2 (0.5%) 
Total  –  –  –  –  380 
Emergence of suicidal behavior compared to all prior history, n (%)
Yes  –  –  –  –  6 (1.6%) 
Total  –  –  –  –  380 
Treatment-emergent suicidal ideation compared to all prior history, n (%)
Yes  –  –  –  –  89 (23.4%) 
Total  –  –  –  –  380 
Emergence of serious suicidal ideation compared to all prior history, n (%)
Yes  –  –  –  –  2 (0.5%) 
Total  –  –  –  –  380 
Treatment-emergent serious suicidal ideation compared to all prior history, n (%)
Yes  –  –  –  –  9 (2.4%) 
Total  –  –  –  –  380 
Risk of suicide, n (%)
Yes  –  –  –  –  230 (56.9%) 
Total  –  –  –  –  404 
a

A ‘Yes’ in at least one of the suicidal ideation questions (Q1, Q2, Q3, Q4 and Q5).

b

The sum the suicidal ideation questions (Q1, Q2, Q3, Q4 and Q5) with ‘yes’.

The most frequent reason for suicidal ideation was completely to end or stop the pain, with 53% in lifetime and 55.6% in the last month. The total attempts in lifetime ranged between 0 and 20 (mean of 0.87) and between 0 and 3 (mean 0.09) in the last 3 months prior to visit 1. Approximately 14% of the patients had suicidal behavior in their lifetime and 5.8% in the past 3 months. Interestingly, the last visit showed an increase, in some of the dimensions, compared to the previous visits, concerning reasons for ideation.

Regarding potential lethality, 53.3% had behavior likely to result in death despite available medical care in the most recent attempt, 53.6% in the most lethal attempt and 48.3% in the first attempt.

Based on information of visit 1, the Suicidal behavior score was computed and showed that 32.9% of TRD patients were scored as “yes”, while 100% of the patients scored “yes” on Suicidal ideation score.

Discussion

The TRAL study aimed to provide a broad epidemiological picture of MDD and TRD in LatAm, since evidence was scarce, as seen in previous publications.30,31 The present work reports on a 1-year longitudinal analysis of the subset of TRD patients to describe clinical features and outcomes in this setting including suicidality outcomes.

Clinical response (MADRS) was observed in 44% of the TRD patients, consistently increasing over time from month 3 (visit 2) to month 12 (last visit). In addition, the proportion of symptomatic patients after one year was still considerably high (80.4%). These findings indicate that there are medical unmet needs, specifically the availability of more efficacious treatment options for TRD patients. The clinical improvement in depression symptomatology observed in this study is aligned with other reports.33–36 Symptomatology such as “thoughts of suicide/suicide attempts”, “insomnia, early-morning wakefulness, or excessive sleeping” and “overeating, or appetite loss”, were among the most noticeable results following SOC. Patients included in this longitudinal phase were managed at regional reference psychiatric center, supervised by experts, with robust clinical protocols. Nevertheless, the proportion of patients reporting the most representative symptoms at baseline (“fatigue and decreased energy, persistent sad, anxious or ‘empty’ feeling”, “loss of interest in activities or hobbies once pleasurable, including sex”, and “difficulty concentrating, remembering details and making decisions”) remained significant after one year. The known comorbidity with anxiety could have been a confound, since it accounts for a significant part of the symptomatology.37–40

Almost 60% of the patients did not achieve remission (MADRS), which is lower than reported in the STAR-D and other studies.41,42 The remission rates steadily increased over time during the follow-up. Relapse rates also decreased over time, achieving 5% at month 12. One should note that the definition regarding clinical outcomes (response, remission or relapse) in TRD is not universal,8 with different scales, instruments and criteria being adopted for that purpose. Therefore, one should be cautious when comparing these MADRS results – a standardized and clinically validated measure – with studies which use a different set of measures. This adds to the level of evidence provided by TRAL in identifying unmet needs in the treatment of TRD.

Suicidal thoughts were one of the symptoms with a most noticeable reduction, in-line with the global results obtained with C-SSRS. Suicidal ideation/intent/behaviors were significantly less frequent over time, with a clear reduction in death wish. These results based on the use of SOC are less significant compared to research with novel therapies,43–46 in which the reduction of suicidal ideation was more evident. The risk of suicide on a longitudinal assessment (C-SSRS) remained over 50% in TRD patients after the follow-up, consistent with previous research,47 and aligned with the results obtained for the longitudinal assessment of suicidal ideation. Active suicidal ideation with specific plan and intent still afflicts some of the patients at the end of study. The concomitant nature of suicidality and depression in TRD patients is a common concern and more predominant than in MDD patients.16 This is one of the most severe consequences of TRD and actions should be undertaken to address this, as suggested in previous TRAL publications (Corral et al., 2022; Soares et al., 2021).

Other C-SSRS results show that almost one-quarter of the TRD patients had treatment-emergent suicidal ideation and 6.1% treatment-emergent serious suicidal ideation, aligned with previous data from the use of C-SSRS.47–51 The high prevalence of suicidal ideation after 1-year of treatment on reference psychiatric centers reinforces TRD's burden and the need for more effective treatments for these patients.

TRAL31 and other studies52 showed that TRD patients had more severe clinical presentations than MDD, highlighting the significant burden of the disease. While the proportion of TRD patients severely depressed (MADRS) dropped from 25% at visit 1, approximately 1 in 10 patients remained severely depressed at the end of follow-up, illustrating a substantial unmet need with serious potential consequences.

As expected, most of the patients were female. Previous research showed that women are more prone to develop MDD and other depressive disorders and that estrogen may play a key role.53 Conversely, women show lower treatment gap and recognize symptoms easier in self-report scales and clinical assessments, offering some explanation to the results.54

Limitations

TRAL provides a relevant depiction of the results of SOC for TRD patients in LatAm, involving some of the most relevant psychiatric treatment centers in the region from the four countries. Sample size is adequate in size and the heterogeneity of contexts supports inferences from the present data for LatAm. However, country-specific inferences should be performed with caution, as the sample size was not calculated with that goal in mind. Also, this is not a population-based study, as the inclusion criteria limits the profile of patients included (i.e. MDD patients under regular follow-up at reference treatment sites in the region). Also, inferences on clinical response for the SOC must consider that all therapies were included in the analysis, and no comparisons between therapies were performed. Moreover, baseline disease severity and number of years since MDD diagnosis were not controlled for in the longitudinal analyses. However, this can also be considered a strength, since the heterogenous nature of the clinical protocols better depicts real-world practice and the challenges

Final remarks

Phase 1 of the TRAL study and the current insights from phase 2 should influence public health policies in the coming years. Although not perfectly representative of the region, these data are robust and provide important insights, both in the prevention and management of TRD. Moreover, this real-world evidence – increasingly important in the context of public health policies – suggests that considerable efforts should be placed in developing and/or increasing availability of novel therapies that show promising results in increasing clinical response. Patient education – to increase treatment adherence and earlier search for help – is essential to promote swifter diagnosis – in which training non-specialized physicians is also key – after symptoms onset and subsequent treatment initiation. Primary care physicians should articulate with psychiatrists on the best treatment protocol since symptoms onset, and avoid referring to psychiatry only when the clinical presentation of the symptoms became serious or significantly resistant to therapeutic options. Current results also highlight some key clinical insights. Regardless of the severity of the disease, TRD is more frequent than could be expected. Given the treatment resistant pattern and refractory nature of TRD, this should always be considered a serious condition.

Conclusions

Standard-of care offers some relevant clinical benefits but fails to deliver on the overall unmet need in the treatment of TRD patients in LatAm. The persistence of symptoms observed among TRD patients after one year under SOC underlines the burden of the disease. Beyond the most common and manageable symptoms of depression, current treatment protocols fail to deliver on the management of this life-threatening condition as suicidality is not fully addressed and remains significant over time. Participants of this study were patients of reference psychiatry centers, therefore lack of access to treatment cannot be considered a primary reason for the low remission rates, reinforcing the limitations of current treatments for TRD. Treatment optimization should be pursued, including the introduction of novel therapies with promising clinical results. Reducing the burden of the condition should consider timely diagnosis, access to specialized care, and the development of therapeutic options that limit disease progression and consequently, the resulting disability. Ensuring that all patients are closely monitored by specialists is important, but must be accompanied by better therapeutic options, ensuring a long-term rationalization of costs with the management of the disease. The burden of disease is substantial and current unmet needs undermine TRD patients’ ability to achieve a clinical response that allows stable, fulfilling and safe living and full integration as productive members of society. The authors hope these results act as call-to action for all relevant stakeholders in order to promote better clinical outcomes in these at-risk patients.

Limitations

  • 1.

    This is not a population-based study, which may present a somewhat biased depiction of disease severity;

  • 2.

    The heterogeneity of treatment protocols at the sites limits the inferences on the effectiveness of a specific standard of care protocol;

  • 3.

    Disease severity at baseline or the time from diagnosis were not considered as co-variates in the longitudinal analysis.

Data availability statement

Data will be made available on reasonable request from the corresponding author.

Funding

TRAL (Treatment-Resistant Depression in America Latina) study was funded by Janssen LatAm, a filial of Janssen, Inc., which was involved in the approval of the manuscript. CTI provided medical writing and editorial support funded by Janssen LatAm, a filial of Janssen, Inc. Authors received honorarium as investigators in the TRAL study.

Conflict of interests

MAC received a research grant from Janssen Pharmaceutical.

CTT has been working on consulting for or serving on the advisory board on Jansen Cilag Farmaceutica, Lundbeck do Brasil, Servier do Brasil, Abbott Laboratórios do Brasil, Medley Farmaceutica, Takeda Distribuidora, SEM, Torrent do Brasil, and receiving grant or research support from Abbott laboratórios do Brasil, Libbs Farmaceutica, Lundbeck do Brasil, Medley Farmaceutica, Ache Laboratorios Farmaceuticos, Torrent do Brasil, Biolab Sanus Farmaceutica, Laboratorios Pfizer, Servier do Brasil, Apsen Farmaceutica, EMS.

LMAB declares no conflict of interests.

MVD declares having contributed as a speaker, advisor and participant in symposiums, courses, workshops and congresses, invited by Janssen, having received, for such functions, the corresponding professional fees. Speaker at the Update Conference on Mood Disorders, sponsored by Gador Laboratories, and held in Buenos Aires in 2019. Such participation involved professional fees for his functions. Speaker, with previously scheduled fees, at the symposium organized by Lundbeck Laboratories on Update on Depression, at the conference held in Tandil, Province of Buenos Aires, in 2019. The edition by Editorial Polemos of the book on “Depression of Difficult Management”, carried out in collaboration with other authors in 2017, was sponsored by Raffo Laboratories.

RMC declares having received support for research and fees as a speaker from Janssen Cilag Argentina.

LDAS declares being a speaker for Shire-Takeda, Lundbeck, Asofarma, Armstrong, Janssen, Servier, and Novartis, received investigation grants from Pfizer, Janssen Lilly and Roche. Also had an advisory role for Armstrong, Acadia, Sanfer, Psicofarma, and Servier, none related to the current work.

ES: Is currently conducting a clinical trial sponsored by Janssen Pharmaceutical.

GK: Is currently an employee at Janssen Pharmaceutical.

PC: Is currently an employee at Janssen Pharmaceutical.

Acknowledgments

The authors would like to thank our patients and their families for the consent and time dedicated to this study, as well as the teams involved in the study conduction and data collection.

Clinical Trial & Consulting Services (CTI) provided statistical analysis support to the TRAL funded by Janssen LatAm.

Diogo Morais from Clinical Trial & Consulting Services (CTI) provided medical writing assistance and editorial support with this manuscript, funded by Janssen LatAm. Janssen LatAm participated in the interpretation of data, review, and approval of the content. All the authors had access to all relevant data and participated in writing, review, and approval of this manuscript.

Appendix B
Supplementary data

The following are the supplementary data to this article:

References
[1]
G.S. Malhi, J.J. Mann.
Depression.
Lancet, 392 (2018), pp. 2299-2312
[2]
World Health Organisation. Depression and other common mental disorders: global health estimates. 2017.
[3]
S.H. Kennedy.
Core symptoms of major depressive disorder: relevance to diagnosis and treatment.
Dial Clin Neurosci, 10 (2008), pp. 271-277
[4]
B.T. Stegenga, M.H. Kamphuis, M. King, I. Nazareth, M.I. Geerlings.
The natural course and outcome of major depressive disorder in primary care: the PREDICT-NL study.
Soc Psychiatry Psychiatric Epidemiol, 47 (2012), pp. 87-95
[5]
D.A. Mrazek, J.C. Hornberger, C.A. Altar, I. Degtiar.
A review of the clinical economic, and societal burden of treatment-resistant depression: 1996–2013.
Psychiatric Serv, 65 (2014), pp. 977-987
[6]
B.N. Gaynes, D. Warden, M.H. Trivedi, S.R. Wisniewski, M. Fava, A.J. Rush.
What did STAR*D teach us? Results from a large-scale, practical clinical trial for patients with depression.
Psychiatric Serv, 60 (2009), pp. 1439-1445
[7]
A. John Rush, M.H. Trivedi, S.R. Wisniewski, et al.
Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report.
Am J Psychiatry, 16311 (2006), pp. 1905-1917
[8]
C.R. Conway, M.S. George, H.A. Sackeim.
Toward an evidence-based, operational definition of treatment-resistant depression: when enough is enough.
JAMA Psychiatry, 74 (2017), pp. 9-10
[9]
K.M. Johnston, L.C. Powell, I.M. Anderson, S. Szabo, S. Cline.
The burden of treatment-resistant depression: a systematic review of the economic and quality of life literature.
J Affect Disord, 242 (2019), pp. 195-210
[10]
D. Pilon, J.J. Sheehan, H. Szukis, et al.
Is clinician impression of depression symptom severity associated with incremental economic burden in privately insured US patients with treatment resistant depression?.
J Affect Disord, 255 (2019), pp. 50-59
[11]
D. Pilon, J.J. Sheehan, H. Szukis, et al.
Medicaid spending burden among beneficiaries with treatment-resistant depression.
J Compar Effect Res, 8 (2019), pp. 381-391
[12]
T.B. Amos, N. Tandon, P. Lefebvre, et al.
Direct and indirect cost burden and change of employment status in treatment-resistant depression: a matched-cohort study using a US commercial claims database.
J Clin Psychiatry, (2018), pp. 79
[13]
W. Chow, M.J. Doane, Sheehan, Jack, L. Alphs, H. Le.
Economic burden among patients with major depressive disorder: an analysis of healthcare resource use, work productivity, and direct and indirect costs by depression severity.
Am J Manag Care, (2019),
[14]
D.H. Jaffe, B. Rive, T.R. Denee.
The humanistic and economic burden of treatment-resistant depression in Europe: a cross-sectional study.
BMC Psychiatry, 19 (2019), pp. 1-11
[15]
R.K. Fujii, A. Goren, K. Annunziata, J. Mould-Quevedo.
Prevalence, awareness treatment, and burden of major depressive disorder: estimates from the national health and wellness survey in Brazil.
Value Health Region Issues, 1 (2012), pp. 235-243
[16]
J. Lin, H. Szukis, J.J. Sheehan, et al.
Economic burden of treatment-resistant depression among patients hospitalized for major depressive disorder in the United States.
Psychiatric Res Clin Pract, 1 (2019), pp. 68-76
[17]
V. Pérez-Sola, M. Roca, J. Alonso, et al.
Economic impact of treatment-resistant depression: a retrospective observational study.
J Affect Disord, 295 (2021), pp. 578-586
[18]
E. Vieta, J. Alonso, V. Pérez-Sola, et al.
Epidemiology and costs of depressive disorder in Spain: the EPICO study.
Eur Neuropsychopharmacol, 50 (2021), pp. 93-103
[19]
A.H. Thompson, C.S. Dewa, S. Phare.
The suicidal process: age of onset and severity of suicidal behavior.
Soc Psychiatry Psychiatric Epidemiol, 47 (2012), pp. 1263-1269
[20]
N.M. Melhem, G. Porta, M.A. Oquendo, et al.
Severity and variability of depression symptoms predicting suicide attempt in high-risk individuals.
JAMA Psychiatry, 76 (2019), pp. 603-612
[21]
American Pyschiatric Association (APA). Practice Guidelines for the Treatment of Patients With Major Depressive Disorder. vol. 150. 2010.
[22]
National Institute of Care and Health Excellence. Depression in adults: recognition and Depression in adults: recognition and management Clinical guideline. 2009.
[23]
A. Cleare, C.M. Pariante, A.H. Young, et al.
Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2008 British Association for Psychopharmacology guidelines Endorsed by the British Association for Psychopharmacology BAP Guidelines Other members of the c.
J Psychopharmacol, 29 (2015), pp. 459-525
[24]
M. Bauer, A. Pfennig, E. Severus, et al.
World Federation of Societies of Biological Psychiatry (WFSBP) Guidelines for Biological Treatment of Unipolar Depressive Disorders. Part 1: Update 2013 on the acute and continuation treatment of unipolar depressive disorders.
World J Biol Psychiatry, 14 (2013), pp. 334-385
[25]
S.H. Kennedy, R.W. Lam, R.S. McIntyre, et al.
Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: Section 3. Pharmacological treatments.
Can J Psychiatry, 61 (2016), pp. 540-560
[26]
D.F. Ionescu, J. Rosenbaum, J. Alpert.
Pharmacological approaches to the challenge of treatment-resistant depression.
Dial Clin Neurosci, 17 (2015), pp. 111-126
[27]
J.M. Tamayo, J.I. Rosales-Barrera, S.J. Villaseñor-Bayardo, C. Rojas-Malpica.
Consenso latinoamericano basado en la evidencia sobre el diagnóstico y manejo de las depresiones resistentes/refractarias al tratamiento.
Salud Mental, 34 (2011), pp. 267-273
[28]
J.A. Mauskopf, G.E. Simon, A. Kalsekar, C. Nimsch, E. Dunayevich, A. Cameron.
Nonresponse, partial response, and failure to achieve remission: humanistic and cost burden in major depressive disorder.
Depress Anxiety, 26 (2009), pp. 83-97
[29]
A. Rush, M. Trivedi, S. Wisniewski, et al.
Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report.
Am J Psychiatry, 163 (2006), pp. 1905-1917
[30]
R. Corral, H. Alessandria, L.M. Agudelo Baena, et al.
Suicidality and quality of life in treatment-resistant depression patients in latin america: secondary interim analysis of the TRAL study.
Front Psychiatry, (2022), pp. 13
[31]
B. Soares, G. Kanevsky, C.T. Teng, et al.
Prevalence and impact of treatment-resistant depression in Latin America: a prospective, observational study.
Psychiatric Q, (2021),
[32]
S.A. Montgomery, M. Asberg.
A new depression scale designed to be sensitive to change.
Br J Psychiatry, 134 (1979), pp. 382-389
[33]
D. Voineskos, Z.J. Daskalakis, D.M. Blumberger.
Management of treatment-resistant depression: challenges and strategies.
Neuropsychiatric Dis Treat, 16 (2020), pp. 221-234
[34]
D. Bennabi, T. Charpeaud, A. Yrondi, et al.
Clinical guidelines for the management of treatment-resistant depression: French recommendations from experts, the French Association for Biological Psychiatry and Neuropsychopharmacology and the fondation FondaMental.
BMC Psychiatry, 19 (2019), pp. 1-12
[35]
S. Kasper, W.J. Cubała, A. Fagiolini, J.A. Ramos-Quiroga, D. Souery, A.H. Young.
Practical recommendations for the management of treatment-resistant depression with esketamine nasal spray therapy: basic science, evidence-based knowledge and expert guidance.
World J Biol Psychiatry, 0 (2020), pp. 1-15
[36]
A. Fekadu, J.G. Donocik, A.J. Cleare.
Standardisation framework for the Maudsley staging method for treatment resistance in depression.
BMC Psychiatry, 18 (2018), pp. 1-13
[37]
R.N. Groen, O. Ryan, J.T.W. Wigman, et al.
Comorbidity between depression and anxiety: assessing the role of bridge mental states in dynamic psychological networks.
[38]
Y. Zhou, Z. Cao, M. Yang, et al.
Comorbid generalized anxiety disorder and its association with quality of life in patients with major depressive disorder OPEN.
Nature Publishing Group, (2016),
[39]
Z. Wu, Y. Fang.
Comorbidity of depressive and anxiety disorders: challenges in diagnosis and assessment.
Shanghai Arch Psychiatry, 26 (2014), pp. 227-231
[40]
T.E. Moffitt, H. Harrington, A. Caspi, et al.
Depression and generalized anxiety disorder.
Arch Gener Psychiatry, 64 (2007), pp. 651
[41]
A. Dibernardo, X. Lin, Q. Zhang, et al.
Humanistic outcomes in treatment resistant depression: a secondary analysis of the STAR*D study.
BMC Psychiatry, 18 (2018), pp. 1-8
[42]
V. De Carlo, R. Calati, A. Serretti.
Socio-demographic and clinical predictors of non-response/non-remission in treatment resistant depressed patients: a systematic review.
Psychiatry Res, 240 (2016), pp. 421-430
[43]
D.F. Ionescu, M.B. Swee, K.J. Pavone, et al.
Rapid and sustained reductions in current suicidal ideation following repeated doses of intravenous ketamine: secondary analysis of an open-label study.
J Clin Psychiatry, 77 (2016), pp. e719-e725
[44]
D.F. Ionescu, K.H. Bentley, M. Eikermann, et al.
Repeat-dose ketamine augmentation for treatment-resistant depression with chronic suicidal ideation: a randomized, double blind, placebo controlled trial.
J Affect Disord, 243 (2019), pp. 516-524
[45]
C.M. Canuso, J.B. Singh, M. Fedgchin, et al.
Efficacy and safety of intranasal esketamine for the rapid reduction of symptoms of depression and suicidality in patients at imminent risk for suicide: results of a double-blind, randomized, placebo-controlled study.
Am J Psychiatry, 175 (2018), pp. 620-630
[46]
M. Fedgchin, M. Trivedi, E.J. Daly, et al.
Efficacy and safety of fixed-dose esketamine nasal spray combined with a new oral antidepressant in treatment-resistant depression: results of a randomized, double-blind active-controlled study (TRANSFORM-1).
Int J Neuropsychopharmacol, (2019),
[47]
J.C. Mundt, J.H. Greist, J.W. Jefferson, M. Federico, J.J. Mann, K. Posner.
Prediction of suicidal behavior in clinical research by lifetime suicidal ideation and behavior ascertained by the electronic columbia-suicide severity rating scale.
J Clin Psychiatry, 74 (2013), pp. 887-893
[48]
P.Y. Gipson, P. Agarwala, K.J. Opperman, A. Horwitz, C.A. King.
Columbia-suicide severity rating scale.
Pediatric Emergency Care, 31 (2015), pp. 88-94
[49]
L.A. Brown, E.D. Boudreaux, S.A. Arias, et al.
C-SSRS performance in emergency department patients at high risk for suicide.
Suicide Life-Threat Behav, (2020), pp. 1-8
[50]
J.H. Greist, J.C. Mundt, C.J. Gwaltney, J.W. Jefferson, K. Posner.
Predictive value of baseline electronic columbia–suicide severity rating scale (Ec–ssrs) assessments for identifying risk of prospective reports of suicidal behavior during research participation.
Innov Clin Neurosci, 11 (2014), pp. 23-31
[51]
Å.U. Lindh, M. Waern, K. Beckman, E.S. Renberg, M. Dahlin, B. Runeson.
Short term risk of non-fatal and fatal suicidal behaviours: the predictive validity of the Columbia-Suicide Severity Rating Scale in a Swedish adult psychiatric population with a recent episode of self-harm.
BMC Psychiatry, 18 (2018), pp. 1-9
[52]
N. Kubitz, M. Mehra, R.C. Potluri, N. Garg, N. Cossrow.
Characterization of treatment resistant depression episodes in a cohort of patients from a US commercial claims database.
PLOS ONE, 8 (2013), pp. 1-9
[53]
P.R. Albert.
Why is depression more prevalent in women?.
J Psychiatry Neurosci, 40 (2015), pp. 219-221
[54]
L. Picco, M. Subramaniam, E. Abdin, J. Ajit Vaingankar, S.A. Chong.
Gender differences in major depressive disorder: findings from the Singapore Mental Health Study.
Singapore Med J, 58 (2017), pp. 649-655
Copyright © 2022. The Author(s)
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos