Literature DB >> 28860772

Factors associated with failure to achieve remission and with relapse after remission in patients with major depressive disorder in the PERFORM study.

Delphine Saragoussi1, Maëlys Touya2, Josep Maria Haro3, Bengt Jönsson4, Martin Knapp5, Bastien Botrel6, Ioana Florea7, Henrik Loft8, Benoît Rive9.   

Abstract

BACKGROUND: The Prospective Epidemiological Research on Functioning Outcomes Related to Major Depressive Disorder (PERFORM) study has been initiated to better understand the course of a depressive episode and its impact on patient functioning. This analysis aimed to identify sociodemographic and clinical factors associated with failure to achieve remission at month 2 after initiating or switching antidepressant monotherapy and with subsequent relapse at month 6 for patients in remission at month 2.
MATERIALS AND METHODS: This was a 2-year observational cohort study in 1,159 outpatients aged 18-65 years with major depressive disorder initiating or undergoing the first switch of antidepressant monotherapy. Factors with P<0.20 in univariate logistic regression analyses were combined in a multiple logistic regression model to which backward variable selection was applied (ie, sequential removal of the least significant variable from the model and recomputation of the model until all remaining variables have P<0.05).
RESULTS: Baseline factors significantly associated with lower odds of remission at month 2 were body-mass index ≥30 kg/m2 (OR 0.51), depressive episode >8 weeks (OR 0.51), being in psychotherapy (OR 0.51), sexual dysfunction (OR 0.62), and severity of depression (OR 0.87). Factors significantly associated with relapse at month 6 were male sex (OR 2.47), being married or living as a couple (OR 2.73), residual patient-reported cognitive symptoms at 2 months (OR 1.12 per additional unit of Perceived Deficit Questionnaire-5 score) and residual depressive symptoms at 2 months (OR 1.27 per additional unit of Patient Health Questionnaire-9 score).
CONCLUSION: Different factors appear to be associated with failure to achieve remission in patients with major depressive disorder and with subsequent relapse in patients who do achieve remission. Patient-reported cognitive dysfunction is an easily measurable and treatable characteristic that may be associated with an increased likelihood of relapse at 6 months in patients who have achieved remission.

Entities:  

Keywords:  major depressive disorder; patient-reported cognitive dysfunction; relapse; remission

Year:  2017        PMID: 28860772      PMCID: PMC5558880          DOI: 10.2147/NDT.S136343

Source DB:  PubMed          Journal:  Neuropsychiatr Dis Treat        ISSN: 1176-6328            Impact factor:   2.570


Introduction

Major depressive disorder (MDD) is a chronic and recurring condition that affects more than 120 million people worldwide and ranks among the top ten causes of global disability.1,2 Patients with MDD report substantial deficits in daily functioning3 that equal or exceed those associated with other severe chronic medical conditions, such as diabetes and congestive heart failure.4 Multiple domains of functioning may be impaired;4 consequently, MDD can have a significant impact on both quality of life and work productivity.5,6 In terms of clinical management of MDD, the primary objective is to achieve remission. However, despite therapeutic advances, a considerable proportion of patients fail to achieve this goal. Meta-analyses of results of controlled clinical trials have generally shown remission rates of 30%–50% after 6–8 weeks of treatment with currently available antidepressants.7–12 Remission rates are even lower in routine practice settings. In the US STAR*D study – a large trial designed to assess the efficacy of sequential acute treatments for MDD – only 30%–40% of patients achieved remission after adequate treatment with a first-line antidepressant.13,14 In addition, approximately a third of patients failed to achieve remission after trials of as many as four different antidepressants.14 A 12-week remission rate of 31.4% was reported in the South Korean Clinical Research Centre for Depression study.15 Beyond its clinical consequences, failure to achieve remission in MDD is associated with subsequently higher annual health-care resource utilization and expenditure.16–19 For patients who have achieved remission, the objective of clinical management is to prevent relapse. However, prevention of relapse in patients who achieve remission is also a challenge for current treatments. In STAR*D, the 6-month relapse rate was 34%–83%, depending on the phase of treatment.13 Patients who relapse within 6 months of remission have been shown to have a far worse course of depression over the next 5 years than those who do not relapse within this period of time, as indicated by a significantly greater proportion of time spent with higher levels of severity of depressive symptoms and fewer asymptomatic weeks.20 Awareness of sociodemographic or clinical factors that may be associated with failure to achieve remission in patients with MDD or with an increased risk of subsequent relapse in patients who do achieve remission may help to improve clinical management by enabling identification of patients who may require more intensive follow-up and care. Sociodemographic factors that have previously been reported to be associated with failure to achieve remission of MDD include sex,21,22 educational level,21,23 employment status,21,23 and marital status;24 clinical factors include depression severity in the acute phase,25,26 concomitant mental or chronic medical disorders,21,22 and lower functioning and quality of life at baseline.21,24 Factors that have been reported to be associated with relapse in patients with MDD include chronicity (ie, presence of previous depressive episodes)27,28 and presence of residual mood symptoms.29 Many studies have been undertaken to identify factors that may be associated with poor treatment outcomes in MDD; however, the majority of these have been in highly selected patient populations, which may limit generalization of the findings to routine clinical practice. The Prospective Epidemiological Research on Functioning Outcomes Related to Major Depressive Disorder (PERFORM) study is an observational cohort study initiated to better understand the course of a depressive episode and its impact on patient functioning over a 2-year period in outpatients with MDD in real-world settings in five European countries. This paper reports planned analyses undertaken to examine potential sociodemographic or clinical factors associated with failure to achieve remission at month 2 and with subsequent relapse at month 6 for patients in remission at month 2. Factors explored included those previously identified in the literature and others, such as cognitive symptoms, which have been identified more recently as relevant in the course of depression and thus have been less extensively studied to date.30,31

Materials and methods

Study design

This was a 2-year multicenter, prospective, noninterventional cohort study in outpatients aged 18–65 years with a current diagnosis of MDD (Diagnostic and Statistical Manual of Mental Disorders [DSM]-IV-TR) enrolled by either a primary care physician or a psychiatrist in France, UK, Spain, Germany, and Sweden. This study is registered with ClinicalTrials.gov (NCT01427439). Enrolled patients were either initiating antidepressant monotherapy or undergoing their first switch of antidepressant for a new episode of major depression, with the choice of antidepressant used based on the clinical judgment of the treating physician. Patients receiving antidepressant combination therapy at the time of the initial consultation and patients with schizophrenia or other psychotic disorders, bipolar disorder, substance dependence, mood disorders due to a general medical condition or substances, dementia, or other neurodegenerative diseases significantly impacting cognitive functioning were excluded from study entry. Pregnant women and women ≤6 months’ postpartum were also excluded.

Ethics approval and consent to participate

Ethical approval was obtained for each study site before study initiation following country regulations regarding observational studies: France: French health authority (ANSM, previously called AFSSAPS), advisory committee on information processing in material research in the field of health (CCTIRS), French data-protection agency (CNIL), French National Medical Council (CNOM) Ethics Committee (CPP Ile de France II); 102 physicians/sites included Germany: Munich Ethics Committee, local ethics committees, including Hamburg, Rheinland-Pfalz, Sachsen, and Westfalen-Lippe ethics committees and others; 47 physicians/sites included Spain: Agencia Española del Medicamento y Productos Sanitarios (AEMPS), Comités Eticos de Investigaciones Clinicas (CEIC), Comunidades Autónomas (CCAA) of 14 regions; 46 physicians/sites included Sweden: Uméå Ethics Committee; 22 physicians/sites included UK: Medical Research and Ethics Committee (MREC), National Institute for Health Research (NIHR), and local submissions; 65 physicians/sites included. All patients provided written informed consent for participation.

Study assessments and data collection

Study assessments and data collection occurred during routine visits within the normal course of care at baseline, 2 months (±3 weeks), and 6 months (±1 month), after which data were collected approximately every 6 months up to 2 years. Patient characteristics recorded included demographic information, history of MDD, characteristics of the current episode of depression, MDD management and resource use, and the presence of any other mental disorder or functional syndrome. Clinical severity of depression was assessed at all visits by patients using the nine-item Patient Health Questionnaire (PHQ-9)32 and by all participating investigators using the Clinical Global Impressions–severity of illness scale (CGI-S).33 The Montgomery–Åsberg Depression Rating Scale (MADRS)34 was also administered when patients were recruited by psychiatrists. Patient-reported cognitive function was assessed using the five-item Perceived Deficit Questionnaire (PDQ-5), which assesses subjective cognitive symptoms (impairments in memory, concentration, and executive function) over the past 4 weeks.35,36 Total score range is 0–20, with higher scores reflecting greater impairment. Psychiatrists also assessed the severity of anxiety symptoms using the Hamilton Anxiety Rating Scale.37 Other patient-reported questionnaires administered included the Sheehan Disability Scale,38 the Work Productivity and Activity Impairment Questionnaire,39 the 12-item Short-Form Health Survey (SF-12),40 the EuroQol questionnaire (EQ-5D three-level version; in UK patients only),41 the Arizona Sexual Experiences Scale,42 and the four-item Morisky–Green Medication Adherence Scale.43

Outcomes

The primary definition of remission at the 2-month visit was PHQ-9 total score ≤9.32 If PHQ-9 score was missing, then MADRS total score was used for patients recruited by psychiatrists; remission was defined as a MADRS score ≤10.44,45 If MADRS score was missing, then remission was defined as a CGI-S score ≤2.46 For patients in remission at 2 months, relapse at the 6-month visit was defined as: (i) treatment modification (switch or combination) for lack of efficacy at the 6-month visit;47 or (ii) PHQ-9 total score ≥10 at the 6-month visit,32 or MADRS total score ≥22 at the 6-month visit if PHQ-9 was missing,48 or CGI-S score ≥4 at the 6-month visit if PHQ-9 and MADRS were missing.48 Relapse status was classified as ambiguous for patients who met criteria for both remission and relapse at month 6 or who were neither remitters nor relapsers at month 6 (eg, MADRS score of 11–21 if PHQ-9 was missing or CGI-S score of 3 if PHQ-9 and MADRS were missing).

Statistical analysis

The population for analysis comprised all patients who met study inclusion criteria and for whom at least one postbase-line assessment was recorded. Clinically relevant variables recorded at baseline were tested in univariate logistic regression analyses for association with failure to achieve remission at month 2. Clinically relevant variables recorded at baseline and/or at or up to month 2 were tested in univariate logistic regression analyses for association with subsequent relapse at month 6 in patients who achieved remission at month 2. The variables included in these univariate analyses were selected based on literature review and clinical evaluation (Table 1). Variables with P<0.20 in the univariate analyses were then combined in a multiple logistic regression model to which backward variable selection was applied (ie, sequential removal of the least significant variable from the model and recomputation of the model until all remaining variables had P<0.05). Four factors were forced into the model as adjustment variables because they were identified as potential confounders: country, age, sex, and PHQ-9 total score (at baseline for the remission analysis and at month 2 for the relapse analysis).
Table 1

Variables selected for univariate analyses to identify factors associated with remission at month 2 and relapse at month 6 for patients in remission at month 2

RemissionRelapse
Sociodemographic factorsCountryAge49Sex21,22Tobacco use21Educational level21,23Body-mass index50Marital status24Employment status21,23Living areaAt least one important life eventCountry51Age52Sex27Tobacco use53Educational level54Body-mass index (M2)27,55Marital status (M2)54Employment status (M2)At least one important life event (M2)
Patient historyDepressive episode before the visit56Previous depressive episode56Time since beginning of this depressive episode25Previous depressive episode27,28
ComorbiditiesAt least one other concomitant mental disorder21,57At least one chronic medical condition21,22Chronic pain or fibromyalgia22At least one anxiety symptom/disorder21,25,56,58At least one concomitant mental disorder53,59,60At least one chronic medical conditionChronic pain or fibromyalgia51At least one anxiety symptom/disorder (M2)25,61,62
Resource use and treatment patternsPhysician specialtyCurrent psychotherapySick leave within past 12 monthsHospitalization for depression over past 12 weeks63Switch of antidepressantPhysician specialtyPrevious or current psychotherapyTreatment stopped between baseline and M2Sick leave (pre-M2)Hospitalization for depression (pre-M2)Switch of antidepressant (pre-M2)MMAS-4 score (M2)64Treatment line (M2)
Disease characteristicsPrior suicide attempt23,63PHQ-9 total score25,26,56CGI-S score25,26PDQ-5 total scoreWPAI-SHP score21,65SF-12 – PCS score21,24SF-12 – MCS score21,24Sexual dysfunctionaSuicide attempt (pre-M2)60PHQ-9 total score (M2)51,66CGI-S score (M2)51,66PDQ-5 total score (M2)WPAI-SHP score (M2)67SF-12 – PCS score (M2)67SF-12 – MCS score (M2)67Sexual dysfunctiona (M2)

Notes:

Patients were categorized as having sexual dysfunction if their total ASEX score was ≥19 or their score was ≥5 for one item or ≥4 for at least three items. Variables were selected based on literature review and clinical evaluation. All variables were assessed at baseline, unless otherwise indicated.

Abbreviations: ASEX, Arizona Sexual Experience Scale; CGI-S, Clinical Global Impressions–severity of illness; M2, month 2; MCS, mental component summary; MMAS-4, 4-item Morisky–Green Medication Adherence Scale; PCS, physical component summary; PDQ-5, 5-item Perceived Deficit Questionnaire; PHQ-9, 9-item Patient Health Questionnaire; Pre-M2, prior and up to M2 (any time before baseline, at baseline, or between baseline and M2); SF-12, 12-item Short-Form Health Survey; WPAI-SHP, Work Productivity and Activity Impairment–specific health problem.

Results are presented as ORs with 95% CIs. By default, ORs for assessment scales and for continuous outcomes are given per additional unit. To account for the differences in metrics between scales, ORs for assessment scales were also estimated per additional 0.5 SD to provide a standardized measure and enable comparisons between scales. Supportive analyses were performed by using a forward-selection process instead of backward selection. In addition, for the analysis of factors associated with relapse, alternative definitions for remission and relapse were used to investigate the effect of the PHQ-9 thresholds applied in the study. Alternative definitions included reducing the cutoff used to define remission, placing MADRS before PHQ-9 in the composite definition of remission, increasing the cutoff used to define relapse, and imposing a defined minimum change in PHQ-9 score. These later analyses were conducted using the final model identifying factors associated with relapse at month 6 for patients in remission at month 2 obtained by backward selection. All statistical analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC, US).

Results

Patients

A total of 1,895 patients were screened, of whom 1,402 were enrolled in the study. The first patient was screened on February 25, 2011, and the last patient completed the study on February 19, 2015. In all, 1,159 (82.7%) patients were included in the population for analysis. Reasons for exclusion from the analysis population were violation of at least one of the inclusion and/or exclusion criteria at baseline (n=167) or lack of postbaseline data (n=101, including 76 who met the inclusion criteria at baseline). The majority of patients were enrolled and followed up by primary care physicians (n=969; 83.6%). At the start of the study, 78.7% of patients were initiating antidepressant treatment and 21.3% were switching antidepressant; the treatment status of two patients was unknown. Remission status was available for 1,112 of the 1,120 patients who attended a month 2 visit (99.3%). Of these 1,112 patients, 330 were in remission (29.7%). Of the 330 patients in remission at month 2, 300 had known relapse status at month 6 (90.9%). Of those, 59 (19.7%) had relapsed at month 6, 226 (75.3%) were in sustained remission, and remission status was ambiguous for 15 (5.0%). Tables 2 and 3 present baseline data for the different study subpopulations.
Table 2

Baseline sociodemographic characteristics for subsets of patients by remission status at month 2 and by relapse status at month 6 in those who achieved remission at month 2

CharacteristicRemission status at month 2
Relapse status at month 6 in those who achieved remission at month 2
In remission(n=330)Not in remissiona(n=782)Total(n=1,112)Relapsed(n=59)Not relapsed(n=241)Total(n=300)
Age, mean ± SD (years)45.3±11.944.1±11.944.4±11.943.9±12.145.7±11.745.3±11.8
Female (%)72.773.273.167.874.373.0
Marital status (%)
 Single20.022.321.615.319.518.7
 Married/couple60.057.958.574.658.561.7
 Divorced/separated17.016.816.88.518.716.7
 Widowed3.03.13.11.73.33.0
Education (%)
 No degree or diploma2.74.94.21.72.92.7
 Elementary school21.226.625.032.219.522.0
 High school36.437.437.125.437.335.0
 Non-university degree14.212.913.313.614.914.7
 University degree25.518.220.327.125.325.7
Living area (%)
 Rural36.130.131.939.036.537.0
 Urban63.969.968.161.063.563.0
Work status (%)
 Paid employment or self employed67.966.466.867.868.968.7
Tobacco use (%)29.435.733.830.528.629.0
BMI classification (%)
 Normal weight50.945.146.842.452.350.3
 Overweight30.328.729.237.329.531.0
 Obese18.826.224.020.318.318.7

Note:

Information was missing for one patient for each of age, sex, tobacco use, marital status, living area, and educational level, and for four patients regarding BMI.

Abbreviation: BMI, body-mass index.

Table 3

Medical profile, functioning, and quality of life at baseline for subsets of patients by remission status at month 2 and by relapse status at month 6 in those who achieved remission at month 2

Characteristics of current depressive episodeRemission status at month 2
Relapse status at month 6 in those who achieved remission at month 2
In remission(n=330)Not in remission(n=782)Total(n=1,112)Relapsed(n=59)Not relapsed(n=241)Total(n=300)
Treated with antidepressant before baseline visit (%)16.723.821.720.315.816.7
Time since beginning of this depressive episode (%)
 <1 week3.30.81.53.43.33.3
 1–2 weeks7.65.15.98.57.57.7
 2–4 weeks25.519.321.227.127.527.4
 4–8 weeks18.520.920.220.318.318.7
 >8 weeks4553.951.340.743.342.8
Significant symptoms of anxiety (%)a61.263.262.661.062.762.3
Symptoms treated with anxiolytics (%)42.641.641.938.544.343.2
Currently receiving psychotherapy (%)10.315.914.28.510.09.7
Questionnaire scores, mean ± SD
PDQ-59.6±4.512.1±4.411.3±4.611.6±4.28.9±4.49.4±4.5
PHQ-915.1±5.618.7±4.817.6±5.316.6±4.114.7±5.815.0±5.6
CGI-S3.9±1.14.3±0.94.2±1.04.1±1.03.9±1.23.9±1.2
MADRS31.8±7.433.0±7.132.7±7.233.3±6.231.6±7.732.0±7.4
ASEX
 Total score20.3±5.521.9±5.821.4±5.720.8±5.320.2±5.520.3±5.5
 Sexual dysfunctionb (%)75.484.481.870.876.575.3
Other current illnesses
Mental health disorders other than depression (%)
 Alcohol abuse or dependence2.72.32.41.72.92.7
 Other abuse disorders0.31.51.20.00.40.3
 Somatoform disorders6.48.78.06.86.26.3
 Eating disorders (anorexia, bulimia)4.88.77.61.74.64.0
 Other1.20.30.51.70.81.0
Functional syndromes (%)
 Chronic pain14.217.516.518.613.314.3
 Chronic fatigue11.817.916.115.311.612.3
 Fibromyalgia3.98.37.05.13.74.0
 Premenstrual syndrome2.73.73.45.12.12.7
 Sleep disorders22.730.127.922.024.123.7
 Other2.42.92.83.42.52.7
Chronic medical conditions (%)
 Cardiovascular disease10.911.311.213.610.811.3
 Diabetes4.84.74.80.05.04.0
 Cancer2.10.81.25.11.72.3
 Rheumatoid arthritis0.91.81.50.00.80.7
 Neurologic disorders2.42.92.80.03.32.7
 Other9.713.812.611.99.19.7
Previous depressive episodes
History of depression (%)
 Previous episode57.156.056.361.055.856.9
 Episode within previous 12 months of previous episode23.425.925.127.824.625.3
 Previous suicide attempt8.016.013.616.75.27.6

Notes: n refers to the total number of patients in each subgroup; as not all patients provided data for all parameters, n is not the denominator for all percentage calculations, and the actual denominator varies between parameters.

Percentages refer to patients “probably” or “definitely” presenting clinically significant symptoms of anxiety according to physician;

patients were categorized as having sexual dysfunction if their total ASEX score was ≥19 or their score was ≥5 for one item or ≥4 for at least three items.

Abbreviations: ASEX, Arizona Sexual Experience Scale; CGI-S, Clinical Global Impressions–severity of illness; PDQ-5, 5-item Perceived Deficit Questionnaire; PHQ-9, 9-item Patient Health Questionnaire; MADRS, Montgomery–Åsberg Depression Rating Scale.

Factors associated with failure to achieve remission at month 2

Statistically significant results (P<0.05) were observed for 18 of the 30 factors of interest included in the univariate analyses (Table 1): switch of antidepressant, body-mass index (BMI), tobacco use, educational level, time since beginning of this depressive episode, at least one other concomitant mental disorder, chronic pain or fibromyalgia, hospitalization for depression during the 12 weeks before baseline, suicide attempt before baseline, sick leave during the 12 months before baseline, current psychotherapy, PHQ-9 total score, PDQ-5 total score, CGI-S score, percentage activity impairment due to problem, SF-12 physical component summary (PCS), SF-12 mental component summary (MCS), and sexual dysfunction. Living area and at least one chronic medical condition were not statistically significant in univariate analyses; however, since the P-values for these factors were below 0.20, they were also included in the multivariate analysis. In addition to the four forced adjustment factors (country, age, sex, and PHQ-9 total score at baseline), the final multivariate analysis model retained four factors with P<0.05 from the backward-selection process: BMI, time since beginning of this depressive episode, current psychotherapy, and sexual dysfunction (Table 4). Among the forced factors, country and PHQ-9 total score were statistically significant.
Table 4

Multivariate logistic regression model for analysis of risk factors of failure to achieve remission at month 2 (backward selection)

VariableCategoryn/N (%)OR (95% CI)P-value
CountryaFrance53/158 (33.5)1
Spain32/91 (35.2)1.04 (0.57–1.88)0.900
UK67/204 (32.8)1.57 (0.93–2.62)0.089
Sweden11/34 (32.4)1.62 (0.67–3.91)0.284
Germany24/101 (23.8)0.45 (0.24–0.85)0.013
AgePer additional year1.01 (0.99–1.02)0.412
SexFemale136/430 (31.6)1
Male51/158 (32.3)0.74 (0.48–1.16)0.187
Body-mass index<30 kg/m2156/448 (34.8)1
≥30 kg/m231/140 (22.1)0.51 (0.31–0.84)0.008
Time since beginning of this depressive episodeb<4 weeks70/165 (42.4)1
4–8 weeks34/111 (30.6)0.60 (0.34–1.05)0.073
>8 weeks83/312 (26.6)0.51 (0.33–0.81)0.004
Current psychotherapyNo169/494 (34.2)1
Yes18/94 (19.1)0.51 (0.28–0.93)0.028
PHQ-9 total scorePer additional unit0.87 (0.84–0.91)<0.001
Sexual dysfunction (ASEX)No49/112 (43.8)1
Yes138/476 (29.0)0.62 (0.38–0.99)0.045

Notes: n refers to the number of patients with remission in each category; N refers to the total number of patients in each category.

Global P=0.005;

global P=0.016.

Abbreviations: ASEX, Arizona Sexual Experience Scale; PHQ-9, 9-item Patient Health Questionnaire.

The odds of achieving remission at month 2 were significantly lower for obese patients (BMI ≥30 kg/m2), patients with a longer time since the beginning of the depressive episode (>8 weeks vs <4 weeks), patients who were in psychotherapy at the beginning of the study, and patients who had sexual dysfunction. The odds of achieving remission at month 2 were 13% less likely when the PHQ-9 total score increased by 1 unit (P<0.001) and 30% less likely when PHQ-9 total score increased by 0.5 SD (2.6 units). As ORs cannot be interpreted as relative risks, these figures are provided only to gain a better understanding of the size of the effect. The results of the supportive analysis using the forward-selection process were consistent with those obtained using the backward-selection process (base-case analysis). In particular, the same factors were retained by both selection processes. The only factor among those initially selected that had a P-value between 0.05 and 0.10 when removed from the multivariate models during the backward-selection process was suicide attempt before baseline (P=0.0624) (Table S1).

Factors associated with relapse at month 6

Statistically significant results (P<0.05) were observed for six of the 30 variables of interest selected to perform the univariate analyses (Table 1): marital status, PHQ-9 total score, PDQ-5 total score, percentage activity impairment due to problem, SF-12 MCS, and suicide attempt (before baseline or between baseline and month 2). CGI-S, SF-12 PCS, and switch of antidepressant (at baseline, between baseline and month 2, or at month 2) were not statistically significant in univariate analyses, but were included in the multivariate analysis (P<0.20). In addition to the four forced adjustment factors (country, age, sex, and PHQ-9 total score at month 2), the final multivariate analysis model retained two factors with P<0.05 from the backward-selection process: marital status and PDQ-5 total score at month 2 (Table 5). Among the forced factors, sex and PHQ-9 total score were statistically significant.
Table 5

Multivariate logistic regression model for analysis of risk factors of relapse at month 6 for patients in remission at month 2 (backward selection)

VariableCategoryn/N (%)OR (95% CI)P-value
CountryaFrance11/59 (18.6)1
Spain5/27 (18.5)0.79 (0.22–2.82)0.719
UK15/65 (23.1)0.97 (0.36–2.64)0.952
Sweden3/9 (33.3)2.15 (0.40–11.49)0.371
Germany3/26 (11.5)0.51 (0.12–2.22)0.367
AgePer additional year0.99 (0.96–1.03)0.765
SexFemale21/131 (16.0)1
Male16/55 (29.1)2.47 (1.05–5.8)0.037
Marital status (M2)Single or divorced/separated or widowed8/66 (12.1)1
Married or living as a couple29/120 (24.2)2.73 (1.05–7.12)0.040
PHQ-9 total score (M2)Per additional unit1.27 (1.02–1.59)0.030
PDQ-5 total score (M2)Per additional unit1.12 (1.00–1.25)0.042

Notes: n refers to the number of patients with relapse in each category; N refers to the total number of patients in remission at month 2 in each category.

Global P=0.703.

Abbreviations: M2, month 2; PDQ-5, 5-item Perceived Deficit Questionnaire; PHQ-9, 9-item Patient Health Questionnaire.

The odds of experiencing relapse at month 6 were significantly higher for male patients and patients who were married or living as a couple. Each additional unit of PDQ-5 total score (range 0–20) at 2 months was associated with a 12% increase in the odds of relapse at 6 months (P=0.042). Each additional unit of PHQ-9 total score (range 0–27) at 2 months was associated with a 27% increase in the odds of relapse at 6 months (P=0.030). The standardization process to account for the difference in metrics between the two scales showed an additional 0.5 SD in PDQ-5 total score (2.16 units) and PHQ-9 total score (1.18 units) at 2 months to be associated with a similar increase in the odds of relapse at 6 months. The results of the supportive analysis using a forward-selection process were identical to those obtained using the backward-selection process (base-case analysis). The same factors were retained by both selection processes. The ORs for association with PDQ-5 and PHQ-9 scores were consistent across all alternative definitions of remission and relapse tested, ranging from 1.07–1.14 and 1.08–1.33, respectively (Figures S1 and S2). The only two factors among those initially selected that had P-values between 0.05 and 0.10 when they were removed from the multivariate models during the backward-selection process were suicide attempt before baseline or up to month 2 (P=0.0844) and SF-12 PCS score at month 2 (P=0.0667) (Table S2).

Discussion

Results of this study suggest that different sociodemographic and clinical factors may be associated with failure to achieve remission compared with relapse in patients with MDD. Baseline sociodemographic and clinical factors that appeared to be associated with a reduced likelihood of achieving remission at month 2 were severity of depression (assessed by PHQ-9 total score), obesity, longer duration of depression, being in psychotherapy, and sexual dysfunction. The finding that baseline severity of depression and longer duration of depression were associated with the likelihood of remission was expected.15,21,68 Other studies have also suggested that overweight or obese patients may be less likely to achieve remission of MDD.50 The finding that baseline sexual dysfunction increased the likelihood of failing to achieve remission was more unexpected. Although sexual dysfunction is known to be linked to serotonergic neurotransmission and to be associated with depression and antidepressant treatment, sexual dysfunction may also be a trigger for depression.69,70 Our finding could support this hypothesis. If sexual dysfunction plays a role in the onset of depression, then it is reasonable to assume that it will be associated with the prognosis; however, this clearly requires confirmation in further studies. In patients on antidepressant therapy, low adherence related to treatment-emergent sexual dysfunction can also be hypothesized.69,71 The finding that current psychotherapy was associated with a lower likelihood of remission at 2 months was also unexpected. However, in the context of this analysis, being in psychotherapy should be considered as a patient characteristic indicating chronicity of depression or more complex disease (such as double depression or depression associated with personality disorders), rather than as a treatment intervention. This was supported by results of complementary analyses undertaken to explore this finding (Table S3). The observed association between country and likelihood of achieving remission is difficult to interpret, as it might stem from many different sources, including differences in clinical practice among participating countries, such as differences in the proportion of patients treated by psychiatrists and the type of antidepressant received. Factors that appeared to be associated with an increased likelihood of relapse at month 6 in patients in remission at month 2 in this study were male sex, being married or living as a couple, residual depressive symptoms, and residual patient-reported cognitive symptoms. The role of sex as a factor associated with relapse in MDD remains uncertain, with previous studies yielding conflicting data.21,22,27,64 The relationship between marital status and depression is also complex; however, previous studies have shown low relationship satisfaction to be a risk factor for depression, which might explain the observed association between being married or living as a couple and relapse in this study.72–74 With regard to the association of higher PHQ-9 total score with increased likelihood of relapse, it is well documented that residual depressive symptoms after remission are associated with an increased risk of subsequent relapse in patients with MDD.29,66,75 It is not known how cognitive symptoms may influence clinical outcome in patients with MDD. Recent data suggest that cognitive impairment is a frequent residual symptom of MDD and a principal mediator of occupational impairment in patients in remission.76,77 Residual cognitive symptoms may also lead to persistent psychosocial impairment, or cognitive dysfunction may be associated with a cognitive affective bias.30 Cognitive symptoms might also impair adherence to treatment; however, data on this topic are lacking. To our knowledge, this is the first demonstration that residual patient-reported cognitive symptoms may be associated with subsequent relapse in patients with MDD. In this analysis, each additional unit of PDQ-5 total score at month 2 was associated with a 12% increase in the odds of relapse at month 6. The magnitude of effect for residual patient-reported cognitive symptoms at month 2 was comparable to that of depressive symptoms at month 2 when expressed in terms of a change of 0.5 SD to account for the difference in metrics between the PDQ-5 and PHQ-9 scales (range 0–20 and 0–27, respectively). The extensive control for known factors associated with relapse in the final model and the supportive analyses demonstrate the consistency of these findings. These results need to be confirmed in further studies using objective tests of cognitive function. However, these findings suggest a role for assessment of cognitive function – even with simple questions and in all settings, including primary care practices – to identify patients at higher risk of subsequent relapse after remission of MDD. While these results confirm that residual mood symptoms are a good target for detection of patients at risk of relapse of MDD,78,79 they also imply that therapeutic interventions that reduce residual cognitive dysfunction in patients with MDD who achieve remission could potentially lead to reduced risk of relapse. However, this requires confirmation in further studies before definitive recommendations can be made. In this study, the remission rate at month 2 was 29.7%; this is lower than typically reported in clinical trial settings, but is in line with the remission rate reported in more naturalistic studies, such as STAR*D.13 The relatively low remission rate highlights the fact that achieving remission is still a major unmet need for patients with MDD. The relapse rate at 6 months in this study was 19.7%, which is lower than that reported in STAR*D.13 However, this may be at least in part due to the fact that there was only a 4-month interval between assessment of remission and relapse in this study; relapse rates are more typically assessed up to 6 months after achieving remission in clinical trials. An interesting next step will be to analyze relapse rates over longer follow-up. Remission and relapse needed to be precisely defined in this study. Composite definitions relying on several different assessments were used to increase the likelihood of capturing remission and relapse, and to minimize the impact of missing data. PHQ-9 total score was chosen as the first criterion for these composite definitions. The PHQ-9 is a brief, self-administered questionnaire specifically developed for evaluation of the severity of depressive symptoms,32 and is widely used in both research settings and clinical practice. PHQ-9 total score was assessed for all patients in the study, regardless of the setting (primary or specialized care). The second criterion used was MADRS total score.34 The MADRS is widely used to assess depression severity in randomized clinical trials of antidepressant therapy.80,81 This scale requires training to ensure reliable scoring, and was thus administered only by psychiatrists in this study; however, the majority of patients (83.6%) were enrolled and followed up by general practitioners. The investigator-administered CGI-S was the final criterion for the composite definitions of remission and relapse; however, CGI-S score was only used if data were unavailable for both of the previous scales, as this assessment scale is not specific for depression. The composite definition of relapse included an additional criterion related to need for treatment modification for lack of efficacy at the 6-month visit. This criterion was added to capture the clinical evaluation of the physician, and is commonly used in definitions of relapse in relapse-prevention clinical trials. Cutoff values for remission based on MADRS and CGI-S scores are well established.44-46,82 In contrast, several different cutoff values have been proposed for remission on the PHQ-9 scale. A PHQ-4 total score <5 has been used to define remission in some observational studies.56,83,84 However, this is based on the theoretical absence of depressive symptoms at this score, rather than an accepted definition of remission.32,85 Validation studies of the PHQ-9 scale established a score of 10 or higher as the cutoff for a diagnosis of depression.32 A recent meta-analysis found the PHQ-9 to have acceptable diagnostic properties for detecting MDD for cutoff scores between 8 and 11.86 However, the scale was found to be sensitive to clinical setting, which could affect the number of false positives and thus necessitate adapting the PHQ-9 cutoff used for remission in individual studies. Available data indicate an optimal threshold to define remission of between 7 and 12 on the PHQ-9 when compared with the CGI-S, and between 9 and 13 when compared with the MADRS, supporting the selected cutoff of 9 for the definition of remission used in this study. Indeed, this cutoff value has been used in other studies.87,88 With this definition, there is no gap between remission and relapse on the PHQ-9. To test if this induces a risk of misclassification of patients that could lead to biased estimates, additional supportive analyses using alternative definitions of remission and relapse were undertaken for the current study; using different thresholds yielded similar ORs for PDQ-5 and PHQ-9 effect at month 6. A key strength of this study is that it was performed in a real-world setting with longitudinal follow-up of a large cohort of patients, the majority of whom were enrolled and followed up by primary care physicians. This suggests that the study findings are applicable to routine clinical practice, where patients with MDD are typically treated in primary care settings. In addition, the analysis was based on variables identified from a literature review as being clinically relevant factors. The literature review yielded concepts and notions that we tried to capture using available PERFORM data. For example, substance abuse is captured both by the tobacco-use covariate and the concomitant mental disorder covariate. Some variables were added to the list of covariates, as they were considered important for the outcome of the disease (eg, disease management and important life events). Country, age, sex, and PHQ-9 total score (at baseline for the remission analysis and at month 2 for the relapse analysis) were forced into the model as adjustment variables, because they were identified as potential confounders. The effects of treatment in the study population were addressed via covariates reflecting the type of treatment (psychotherapy) and meaningful treatment patterns (treatment switch, treatment stop, and line of treatment). The drug received was not taken into account, as the study design and data-collection method did not allow for assessment of treatment effect. A potential limitation is the fact that the PHQ-9 is completed by patients, while the MADRS and CGI-S are completed by physicians, which may have introduced differences in estimation of rates of remission and relapse between the different measures. For analysis of factors associated with relapse in patients who were in remission at month 2, fewer variables were selected from the univariate analysis; this is most likely due to the relatively limited sample size. Nevertheless, results of the supportive analyses using the forward-selection process were consistent with the ORs obtained using the backward-selection process, confirming the robustness of the statistical model. Regarding relapse, it is important to note that this study was observational and differs in design from relapse-prevention trials. In particular, there was only a 4-month interval between assessment of remission and relapse in this study. In addition, cognitive dysfunction was assessed using a patient-reported questionnaire, and little has been published regarding the extent to which PDQ-5 score reflects or is correlated with objective measures; however, this is relevant from a routine-practice perspective, as objective neuropsychological tests are not used in primary care settings.

Conclusion

In summary, results of this large observational study suggest that certain sociodemographic and clinical characteristics may be associated with an increased likelihood of failure to achieve remission in patients with MDD or with subsequent relapse in patients who do achieve remission. In particular, cognitive dysfunction appears to be an easily measurable patient characteristic that may be associated with an increased likelihood of relapse at 6 months in patients who have achieved remission. This finding suggests that therapeutic interventions that reduce residual cognitive dysfunction in patients who achieve remission could lead to a reduced risk of relapse of MDD. Further studies are needed to confirm this and to provide evidence on the magnitude of the effect and its importance for clinical practice. Summary of supportive analyses of PDQ-5 effect on relapse at month 6. Notes: aComputed for patients with complete values on all candidate variables (n=186); bcomputed for patients with complete values on all variables in the final model (n=193); cadditional criterion for relapse definition: minimum change in PHQ-9 total score between month 2 and month 6. Values expressed as OR (95% CI). Abbreviations: MADRS, Montgomery–Åsberg Depression Rating Scale; PHQ-9, 9-item Public Health Questionnaire. Summary of supportive analyses of PHQ-9 effect on relapse at month 6. Notes: aComputed for patients with complete values on all candidate variables (n=186); bcomputed for patients with complete values on all variables in the final model (n=193); cadditional criterion for relapse definition: minimum change in PHQ-9 total score between month 2 and month 6. Values expressed as OR (95% CI). Abbreviations: MADRS, Montgomery–Åsberg Depression Rating Scale; PHQ-9, 9-item Public Health Questionnaire. Details of backward-selection process for analysis of factors associated with remission at month 2 Notes: Continuous factor; rural vs urban; high school vs no degree or diploma/elementary school; non-university degree vs no degree or diploma/elementary school; university degree vs no degree or diploma/elementary school. Abbreviations: AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; CGI-S, Clinical Global Impressions–severity of illness; MCS, mental component summary; PCS, physical component summary; PDQ-5, 5-item Perceived Deficit Questionnaire; SF-12, 12-item Short-Form Health Survey; WPAI, Work Productivity and Activity Impairment. Details of backward-selection process for analysis of factors associated with relapse at month 6 for patients in remission at month 2 Abbreviations: AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; CGI-S, Clinical Global Impressions–severity of illness; M2, month 2; MCS, mental component summary; PCS, physical component summary; PDQ-5, 5-item Perceived Deficit Questionnaire; SF-12, 12-item Short-Form Health Survey; WPAI, Work Productivity and Activity Impairment. Complementary analysis comparing factors identified as potential indicators of severity and chronicity of depression according to psychotherapy at baseline Note: χ2 test or Fisher’s exact test for categorical variables, Student’s t-test for continuous variables. Abbreviations: CGI-S, Clinical Global Impressions–severity of illness; PHQ-9, 9-item Patient Health Questionnaire.
Table S1

Details of backward-selection process for analysis of factors associated with remission at month 2

StepFactors in modelFactor removedOR (95% CI)P-valueAICBIC
023684.158815.460
122At least one other concomitant mental disorder1.00 (0.52–1.92)0.9910682.158809.083
221Chronic pain or fibromyalgia1.03 (0.57–1.88)0.9185680.169802.717
320SF-12 – mental health (MCS)1.00 (0.97–1.04)a0.8809678.191796.363
419Tobacco use1.09 (0.71–1.68)0.6871676.353790.148
518Sick leave within the 12 months before baseline0.87 (0.55–1.36)0.5348674.740784.158
617At least one chronic medical condition0.82 (0.50–1.34)0.4278673.373778.415
716Switch of antidepressant1.24 (0.73–2.10)0.4253672.004772.669
815Hospitalization for depression during the 12 weeks before baseline0.58 (0.15–2.28)0.4336670.671766.959
914SF-12 – physical health (PCS)1.01 (0.99–1.03)a0.2907669.792761.703
1013WPAI – percentage activity impairment due to problem1.01 (1.00–1.02)a0.1753669.654757.188
1112PDQ-5 total score0.97 (0.91–1.02)a0.2426669.020752.178
1211Living area1.37 (0.89–2.12)b0.1502669.082747.863
1310CGI-S0.85 (0.70–1.04)a0.1127669.574743.978
149Educational level (4 categories)1.67 (0.95–2.94)c0.1277669.435730.709
149Educational level (4 categories)1.82 (0.92–3.59)d
149Educational level (4 categories)1.95 (1.09–3.48)e
158Suicide attempt – before baseline0.44 (0.18–1.04)0.0624671.406728.304

Notes:

Continuous factor;

rural vs urban;

high school vs no degree or diploma/elementary school;

non-university degree vs no degree or diploma/elementary school;

university degree vs no degree or diploma/elementary school.

Abbreviations: AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; CGI-S, Clinical Global Impressions–severity of illness; MCS, mental component summary; PCS, physical component summary; PDQ-5, 5-item Perceived Deficit Questionnaire; SF-12, 12-item Short-Form Health Survey; WPAI, Work Productivity and Activity Impairment.

Table S2

Details of backward-selection process for analysis of factors associated with relapse at month 6 for patients in remission at month 2

StepFactors in modelFactor removedOR (95% CI)P-valueAICBIC
012178.837230.449
111WPAI – percentage activity impairment due to problem (M2)1.00 (0.97–1.03)0.9937176.837225.223
210Switch of antidepressant at baseline, between baseline and M2, or at M2 (up to M2)1.48 (0.56–3.92)0.4349175.437220.598
39SF-12 – mental health (MCS – M2)0.97 (0.92–1.03)0.3213174.428216.362
48CGI-S (M2)1.40 (0.92–2.13)0.1087175.093213.802
57Suicide attempt before baseline or between baseline and M2 (up to M2)4.61 (0.83–25.51)0.0844175.981211.464
66SF-12 – physical health (PCS – M2)0.96 (0.92–1.00)0.0667177.333209.591

Abbreviations: AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; CGI-S, Clinical Global Impressions–severity of illness; M2, month 2; MCS, mental component summary; PCS, physical component summary; PDQ-5, 5-item Perceived Deficit Questionnaire; SF-12, 12-item Short-Form Health Survey; WPAI, Work Productivity and Activity Impairment.

Table S3

Complementary analysis comparing factors identified as potential indicators of severity and chronicity of depression according to psychotherapy at baseline

FactorPsychotherapy (n=158)No psychotherapy (n=954)P-valuea
Is the current episode the patient’s first depressive episode?
 Yes60 (38.2%)425 (44.6%)0.135 (χ2)
 No97 (61.8%)528 (55.4%)
If no:
 Previous psychotherapy
  Yes67 (69.1%)159 (30.2%)<0.001 (χ2)
 Did your patient achieve remission after this episode?
  Yes77 (79.4%)442 (83.7%)0.296 (χ2)
 Has the patient been hospitalized for depression?
  Yes13 (13.4%)42 (8.0%)0.082 (χ2)
 Has the patient ever attempted suicide?
  Yes15 (15.5%)70 (13.3%)0.560 (χ2)
Time since beginning of this depressive episode (3 categories)
 <4 weeks33 (20.9%)284 (29.8%)0.058 (χ2)
 4–8 weeks38 (24.1%)186 (19.5%)
 >8 weeks87 (55.1%)482 (50.6%)
Patient considered “difficult to treat” or “treatment-resistant”?
 Yes33 (20.9%)112 (11.8%)0.002 (χ2)
Is the current depressive episode already being treated with an antidepressant (prior to this visit)?
 Yes41 (25.9%)200 (21.0%)0.163 (χ2)
At least one chronic medical condition
 Yes41 (25.9%)254 (26.6%)0.859 (χ2)
At least one important life event
 Yes74 (54.8%)386 (48.7%)0.192 (χ2)
PHQ-9 total score
 Mean ± SD18.1±5.217.5±5.40.311
CGI-S
 Mean ± SD4.4±1.14.1±1.00.003

Note:

χ2 test or Fisher’s exact test for categorical variables, Student’s t-test for continuous variables.

Abbreviations: CGI-S, Clinical Global Impressions–severity of illness; PHQ-9, 9-item Patient Health Questionnaire.

  84 in total

1.  Determinants of poor 1-year outcome of DSM-III-R major depression in the general population: results of the Netherlands Mental Health Survey and Incidence Study (NEMESIS).

Authors:  J Spijker; R V Bijl; R de Graaf; W A Nolen
Journal:  Acta Psychiatr Scand       Date:  2001-02       Impact factor: 6.392

2.  The validity and reproducibility of a work productivity and activity impairment instrument.

Authors:  M C Reilly; A S Zbrozek; E M Dukes
Journal:  Pharmacoeconomics       Date:  1993-11       Impact factor: 4.981

3.  Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice.

Authors:  Madhukar H Trivedi; A John Rush; Stephen R Wisniewski; Andrew A Nierenberg; Diane Warden; Louise Ritz; Grayson Norquist; Robert H Howland; Barry Lebowitz; Patrick J McGrath; Kathy Shores-Wilson; Melanie M Biggs; G K Balasubramani; Maurizio Fava
Journal:  Am J Psychiatry       Date:  2006-01       Impact factor: 18.112

4.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

5.  Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis.

Authors:  Laura Manea; Simon Gilbody; Dean McMillan
Journal:  CMAJ       Date:  2011-12-19       Impact factor: 8.262

6.  Impact of treatment success on health service use and cost in depression: longitudinal database analysis.

Authors:  Sarah Byford; Barbara Barrett; Nicolas Despiégel; Alan Wade
Journal:  Pharmacoeconomics       Date:  2011-02       Impact factor: 4.981

7.  Prediction of recurrence in recurrent depression: a 5.5-year prospective study.

Authors:  Mascha C ten Doesschate; Claudi L H Bockting; Maarten W J Koeter; Aart H Schene
Journal:  J Clin Psychiatry       Date:  2010-08       Impact factor: 4.384

8.  Type of residual symptom and risk of relapse during the continuation/maintenance phase treatment of major depressive disorder with the selective serotonin reuptake inhibitor fluoxetine.

Authors:  Huaiyu Yang; Sarah Chuzi; Lara Sinicropi-Yao; Dan Johnson; Ying Chen; Alisabet Clain; Lee Baer; Patrick J McGrath; Jonathan W Stewart; Maurizio Fava; George I Papakostas
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-07-02       Impact factor: 5.270

9.  The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R).

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Doreen Koretz; Kathleen R Merikangas; A John Rush; Ellen E Walters; Philip S Wang
Journal:  JAMA       Date:  2003-06-18       Impact factor: 56.272

10.  Time to Remission for Depression with Collaborative Care Management (CCM) in Primary Care.

Authors:  Gregory M Garrison; Kurt B Angstman; Stephen S O'Connor; Mark D Williams; Timothy W Lineberry
Journal:  J Am Board Fam Med       Date:  2016 Jan-Feb       Impact factor: 2.657

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  15 in total

1.  Testing the Analytical Rumination Hypothesis: Exploring the Longitudinal Effects of Problem Solving Analysis on Depression.

Authors:  Marcela Sevcikova; Marta M Maslej; Jiri Stipl; Paul W Andrews; Martin Pastrnak; Gabriela Vechetova; Magda Bartoskova; Marek Preiss
Journal:  Front Psychol       Date:  2020-07-02

2.  Prospective Epidemiological Research on Functioning Outcomes Related to Major Depressive Disorder in Japan (PERFORM-J): Protocol for a Prospective Cohort Study.

Authors:  Tomiki Sumiyoshi; Koichiro Watanabe; Shinichi Noto; Shigeru Sakamoto; Yoshiya Moriguchi; Shuichi Okamoto
Journal:  JMIR Res Protoc       Date:  2018-06-25

3.  Differences in Perceptions of Major Depressive Disorder Symptoms and Treatment Priorities Between Patients and Health Care Providers Across the Acute, Post-Acute, and Remission Phases of Depression.

Authors:  Bernhard T Baune; Michael Cronquist Christensen
Journal:  Front Psychiatry       Date:  2019-05-21       Impact factor: 4.157

4.  The humanistic and economic burden of treatment-resistant depression in Europe: a cross-sectional study.

Authors:  Dena H Jaffe; Benoit Rive; Tom R Denee
Journal:  BMC Psychiatry       Date:  2019-08-07       Impact factor: 3.630

5.  Patient-reported depression severity and cognitive symptoms as determinants of functioning in patients with major depressive disorder: a secondary analysis of the 2-year prospective PERFORM study.

Authors:  Josep Maria Haro; Lene Hammer-Helmich; Delphine Saragoussi; Anders Ettrup; Klaus Groes Larsen
Journal:  Neuropsychiatr Dis Treat       Date:  2019-08-13       Impact factor: 2.570

6.  Relationship of Subjective Cognitive Impairment with Psychosocial Function and Relapse of Depressive Symptoms in Patients with Major Depressive Disorder: Analysis of Longitudinal Data from PERFORM-J.

Authors:  Tomiki Sumiyoshi; Koichiro Watanabe; Shinichi Noto; Shigeru Sakamoto; Yoshiya Moriguchi; Lene Hammer-Helmich; Jovelle Fernandez
Journal:  Neuropsychiatr Dis Treat       Date:  2021-03-26       Impact factor: 2.570

7.  Functional impairment in patients with major depressive disorder: the 2-year PERFORM study.

Authors:  Lene Hammer-Helmich; Josep Maria Haro; Bengt Jönsson; Audrey Tanguy Melac; Sylvie Di Nicola; Julien Chollet; Dominique Milea; Benoît Rive; Delphine Saragoussi
Journal:  Neuropsychiatr Dis Treat       Date:  2018-01-09       Impact factor: 2.570

8.  Long-term follow-up on health-related quality of life in major depressive disorder: a 2-year European cohort study.

Authors:  Delphine Saragoussi; Michael Cronquist Christensen; Lene Hammer-Helmich; Benoît Rive; Maëlys Touya; Josep Maria Haro
Journal:  Neuropsychiatr Dis Treat       Date:  2018-05-22       Impact factor: 2.570

Review 9.  Assessment and Management of Cognitive and Psychosocial Dysfunctions in Patients With Major Depressive Disorder: A Clinical Review.

Authors:  Andrea Fiorillo; Bernardo Carpiniello; Serafino De Giorgi; Silvestro La Pia; Giuseppe Maina; Gaia Sampogna; Edoardo Spina; Alfonso Tortorella; Antonio Vita
Journal:  Front Psychiatry       Date:  2018-10-11       Impact factor: 4.157

10.  Impact of Cognitive Symptoms on Health-Related Quality of Life and Work Productivity in Chinese Patients with Major Depressive Disorder: Results from the PROACT Study.

Authors:  Gang Wang; Kristin Hui Xian Tan; Hongye Ren; Lene Hammer-Helmich
Journal:  Neuropsychiatr Dis Treat       Date:  2020-03-13       Impact factor: 2.570

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