Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019

Challenges and Opportunities in Interdisciplinary Research and Real-World Data for Treatment Sequences in Health Technology Assessments

With an ever-increasing number of treatment options, the assessment of treatment sequences has become crucial in health technology assessment (HTA). This review systematically explores the multifaceted challenges inherent in evaluating sequences, delving into their interplay and nuances that go beyond economic model structures. We synthesised a 'roadmap' of literature from key methodological studies, highlighting the evolution of recent advances and emerging research themes. These insights were compared against HTA guidelines to identify potential avenues for future research. Our findings reveal a spectrum of challenges in sequence evaluation, encompassing selecting appropriate decision-analytic modelling approaches and comparators, deriving appropriate clinical effectiveness evidence in the face of data scarcity, scrutinising effectiveness assumptions and statistical adjustments, considering treatment displacement, and optimising model computations. Integrating methodologies from diverse disciplines-statistics, epidemiology, causal inference, operational research and computer science-has demonstrated promise in addressing these challenges. An updated review of application studies is warranted to provide detailed insights into the extent and manner in which these methodologies have been implemented. Data scarcity on the effectiveness of treatment sequences emerged as a dominant concern, especially because treatment sequences are rarely compared in clinical trials. Real-world data (RWD) provide an alternative means for capturing evidence on effectiveness and future research should prioritise harnessing causal inference methods, particularly Target Trial Emulation, to evaluate treatment sequence effectiveness using RWD. This approach is also adaptable for analysing trials harbouring sequencing information and adjusting indirect comparisons when collating evidence from heterogeneous sources. Such investigative efforts could lend support to reviews of HTA recommendations and contribute to synthesising external control arms involving treatment sequences.

Age-Dependent Sex Differences in the Prevalence of Selective Serotonin Reuptake Inhibitor Treatment: A Retrospective Cohort Analysis

Background: Antidepressants are among the most prescribed medications in the United States. The aim of this study was to explore the prevalence of antidepressant prescriptions and investigate sex differences and age-sex interactions in adults enrolled in the Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment (RIGHT) study. Materials and Methods: We conducted a retrospective analysis of the RIGHT study. Using electronic prescriptions, we assessed 12-month prevalence of antidepressant treatment. Sex differences and age-sex interactions were evaluated using multivariable logistic regression and flexible recursive smoothing splines. Results: The sample consisted of 11,087 participants (60% women). Antidepressant prescription prevalence was 22.24% (27.96% women, 13.58% men). After adjusting for age and enrollment year, women had significantly greater odds of antidepressant prescription (odds ratio = 2.29; 95% confidence interval = 2.07, 2.54). Furthermore, selective serotonin reuptake inhibitors (SSRIs) had a significant age-sex interaction. While SSRI prescriptions in men showed a sustained decrease with age, there was no such decline for women until after reaching ∼50 years of age. There are important limitations to consider in this study. Electronic prescription data were cross-sectional; information on treatment duration or adherence was not collected; this cohort is not nationally representative; and enrollment occurred over a broad period, introducing confounding by changes in temporal prescribing practices. Conclusions: Underscored by the significant interaction between age and sex on odds of SSRI prescription, our results warrant age to be incorporated as a mediator when investigating sex differences in mental illness, especially mood disorders and their treatment.

Risks and benefits of pre-delivery taper in pregnant women taking antidepressants

BACKGROUND

Serotonin reuptake inhibitors are commonly used for treatment of mental health problems in pregnancy but may cause neonatal adaptation syndrome. It is unknown whether reduction or discontinuation of medication prior to delivery may mitigate this effect.

METHODS

We present a case series of 38 women who either tapered their medication prior to delivery or maintained or increased their dose.

RESULTS

Greater reductions in maternal antidepressant dose just prior to delivery were associated with fewer admissions to the neonatal intensive care unit (NICU) for infants. There was a slightly greater increase in depressive symptoms across delivery for women who tapered, which was not statistically significant.

CONCLUSIONS

NICU admissions may be less frequent among neonates whose mothers tapered their medication prior to delivery. Large prospective randomized trials are needed to further study this practice.

Real-world treatment modalities, health care resource utilization, and costs among commercially insured patients with newly diagnosed major depressive disorder in the United States

BACKGROUND: In the United States, major depressive disorder (MDD) is one of the most prevalent mental health disorders. Treatment guidelines for MDD recommend pharmacologic and nonpharmacologic therapies tailored to the patient's disease severity, level of function, and comorbid health conditions. While previous studies examined real-world pharmacologic treatment patterns and costs among patients with MDD, few have examined the use of nonpharmacologic treatments and their association with health care resource utilization (HCRU) and cost. OBJECTIVE: To describe prevalence and associations between patient/provider characteristics and treatment modality and characterize HCRU and cost by treatment modality for patients with newly diagnosed MDD. METHODS: Commercially insured US patients, aged 18-62 years with newly diagnosed MDD between January 1, 2017, and September 30, 2019, were retrospectively identified from the Healthcare Integrated Research Database. Eligible patients were continuously enrolled in the health plan for 1 year before and 2 years after the first MDD diagnosis (index date). Those with co-occurring schizophrenia, bipolar disorder, postpartum depression, substance use disorder, and any prior MDD treatments were excluded. Treatment modalities assessed in the 2-year post-index period included antidepressant only (Rx-only), nonpharmacologic only (non-Rx-only), both antidepressant and nonpharmacologic (combination), and no treatment. HCRU and costs were assessed in the 2-year post-index period by treatment modality. Regression models identified associations between patient/provider characteristics and treatment modality, and the relationship between treatment modality and MDD severity changes. RESULTS: In total, 12,657 patients were included (mean age: 36 years; 60% female). During follow-up, 34% of patients received Rx-only, 25% received non-Rx-only, 28% received combination, and 13% received no treatment. MDD severity at diagnosis (26% mild, 54% moderate, 20% severe) was available for 51% of patients. Post-index inpatient hospitalizations were 11% for those with Rx-only, 10% for non-Rx-only, 16% for combination, and 29% for no treatment, whereas all-cause mean monthly total costs were $792, $633, $786, and $1,292, respectively. In multinomial logistic regression, age, sex, geographic region and urbanicity of patient residence, socioeconomic status, diagnosing provider specialty, and initial diagnosis location were significantly associated (P < 0.05) with treatment modality. In multivariable logistic regression, recipients of Rx-only (odds ratio = 2.03, P < 0.01) or combination (odds ratio = 3.26, P < 0.01) had higher odds of improving MDD severity than patients who received no treatment. CONCLUSIONS: In this real-world sample of commercially insured patients, we observed variations in outcomes by treatment modality and an association between treatment modality and disease severity. Further research is needed to explore the underlying causal relationships between treatment modality and patient outcomes. Study Registration: https://doi.org/10.17605/OSF.IO/YQ6B3 DISCLOSURES: Dr Grabner is an employee of Carelon Research, which received funding from the Innovation and Value Initiative for the conduct of the study on which this manuscript is based. Ms Pizzicato and Mr Yang were employees of Carelon Research at the time the study was conducted. Dr Grabner is a shareholder of Elevance Health. Drs Xie and Chapman are employees of the Innovation and Value Initiative.

Repetitive transcranial magnetic stimulation and fluoxetine reverse depressive-like behavior but with differential effects on Olig2-positive cells in chronically stressed mice

Depression is a mood disorder coursing with several behavioral, cellular, and neurochemical alterations. The negative impact of chronic stress may precipitate this neuropsychiatric disorder. Interestingly, downregulation of oligodendrocyte-related genes, abnormal myelin structure, and reduced numbers and density of oligodendrocytes in the limbic system have been identified in patients diagnosed with depression, but also in rodents exposed to chronic mild stress (CMS). Several reports have emphasized the importance of pharmacological or stimulation-related strategies in influencing oligodendrocytes in the hippocampal neurogenic niche. Repetitive transcranial magnetic stimulation (rTMS) has gained attention as an intervention to revert depression. Here, we hypothesized that 5 Hz (Hz) of rTMS or Fluoxetine (Flx) would revert depressive-like behaviors by influencing oligodendrocytes and revert neurogenic alterations caused by CMS in female Swiss Webster mice. Our results showed that 5 Hz rTMS or Flx revert depressive-like behavior. Only rTMS influenced oligodendrocytes by increasing the number of Olig2-positive cells in the hilus of the dentate gyrus and the prefrontal cortex. However, both strategies exerted effects on some events of the hippocampal neurogenic processes, such as cell proliferation (Ki67-positive cells), survival (CldU-positive cells), and intermediate stages (doublecortin-positive cells) along the dorsal-ventral axis of this region. Interestingly, the combination of rTMS-Flx exerted antidepressant-like effects, but the increased number of Olig2-positive cells observed in mice treated only with rTMS was canceled. However, rTMS-Flx exerted a synergistic effect by increasing the number of Ki67-positive cells. It also increased the number of CldU- and doublecortin-positive cells in the dentate gyrus. Our results demonstrate that 5 Hz rTMS has beneficial effects, as it reverted depressive-like behavior by increasing the number of Olig2-positive cells and reverting the decrement in hippocampal neurogenesis in CMS-exposed mice. Nevertheless, the effects of rTMS on other glial cells require further investigation.

Investigation of the pharmacological treatment patterns of Chinese patients with major depressive disorder under real-world settings using multi-channel sequence analysis

Background

Despite many treatment guidelines available now, the treatment patterns of major depressive disorder (MDD) in China haven't been well-understood due to complexity and diversity.

Aim

To describe pharmacological treatment patterns of MDD patients in real-world settings using electronic health records from a major psychiatric hospital in China.

Methods

MDD patients (18-65 years, ICD-10: F32.x, F33.x) newly initiated single antidepressant (AD) in 2015 were enrolled, the date of first AD prescription during the study period was defined as index date, and eligible patients were followed up to 1 year. Treatment patterns were revealed and analyzed using multi-channel sequence analysis (MCSA), considering patients' chronological sequences (in days) of AD prescription, cumulative treatment step(s), and polypharmacy usage during the follow-up.

Results

This study (n = 5,003) identified four types of MDD treatment patterns. The first type (1-time treatment) represents the largest proportion of patients (73.6%, n = 3,686), followed by the second type (6-month consistent treatment) and third type (long-term, consistent treatment) collectively accounted for 20.6% (n = 1,031) of patients, by contrast the last type (long-term, inconsistent treatment) made up the rest 5.7% (n = 286) of patients while exhibiting the most complicated treatments patterns. The choice of AD was dominated by selective serotonin reuptake inhibitors (SSRIs), while treatment duration spent in polypharmacy spanned at 2.8%, 16.4%, 2.0%, and 36.5% over the four types, respectively.

Conclusion

Treatment patterns reflecting real-world pharmacological treatment practices of MDD in China were revealed using MCSA. The observed discrepancies between real-world practice and treatment guidelines provided additional insights in improving the clinical management of MDD.

Annual costs among patients with major depressive disorder and the impact of key clinical events

BACKGROUND: The economic burden of major depressive disorder (MDD) is substantial and increasing; however, the impact of key clinical events (eg, hospitalization, suicide attempt/ideation, and treatment changes) on health care resource use and costs are less established. OBJECTIVE: To evaluate the health care utilization and costs among patients with MDD, particularly for those with key clinical events. METHODS: In this retrospective analysis, administrative health care claims from the IBM MarketScan Commercial Claims and Encounters Database were used to identify adults with a new diagnosis of MDD (January 1, 2009, to December 31, 2017). Patients with 12 months or more of continuous health care coverage before and after the initial medical claim with an MDD diagnosis (index date) and 1 or more pharmacy claims for an antidepressant within 60 days of any qualifying medical claim were included. The effect of post-index date key clinical events (eg, treatment changes, moderate to severe MDD, MDD-related emergency department [ED] visits, MDD-related hospitalizations, suicide attempt/ideation, severe mental health disorder, use of brain stimulation therapies) on all-cause total costs was assessed. Actual allcause costs were summarized descriptively and reported per patient per year (PPPY). Multivariable analyses compared differences in all-cause costs during follow-up, depending on whether patients experienced a key clinical event. RESULTS: A total of 455,082 patients met eligibility criteria. The average age was 41 years and 64% of patients were female. Mean (SD) all-cause PPPY costs during the follow-up period were $10,074 ($25,694). The most common key clinical events were treatment changes, moderate to severe MDD diagnosis, and MDD-related ED visits. The majority of patients (90.1%) experienced at least 1 treatment change, which was most commonly treatment discontinuation. Generally, mean costs for up to 90 days following an event were higher than those preceding the event. In multivariable analyses, patients with any key clinical events had 51% higher PPPY allcause health care costs compared with those who did not have any key clinical events. Compared with patients without key clinical events, follow-up costs were more than 2 times higher among patients with severe mental health disorder, MDD-related hospitalization, and suicide attempt/ideation. The most impactful key clinical event was treatment with electroconvulsive therapy, vagal nerve stimulation, or transcranial magnetic stimulation, in which patients incurred 4.3 times higher follow-up costs than those who did not receive one of these treatments. CONCLUSIONS: Key clinical events exacerbate health care resource use and costs among patients with MDD. Effective therapeutic regimens initiated optimally in the course of treatment may mitigate costly clinical events associated with MDD. DISCLOSURES: This study was sponsored by Allergan plc (prior to its acquisition by AbbVie). The sponsor was involved in the study design, data collection, data analysis, manuscript preparation, and publication decisions. All authors met the ICMJE authorship criteria. Neither honoraria nor payments were made for authorship. Dr Cutler is a consultant for AbbVie, Acadia Pharmaceuticals, Akili Interactive, Alfasigma, Alkermes, Allergan (now AbbVie), Avanir, BioXcel Therapeutics, BlackThorn Therapeutics, Intra-Cellular Therapies, Ironshore, Janssen, Karuna Therapeutics, Lundbeck, Neurocrine Biosciences, Noven, Otsuka, Sage Therapeutics, Sunovion, Supernus Pharmaceuticals, Takeda, Teva and Tris Pharma; has received speaker/promotional honoraria from AbbVie, Acadia Pharmaceuticals, Alfasigma, Alkermes, Allergan, Avanir, Intra-Cellular Therapies, Ironshore, Janssen, Lundbeck, Neurocrine Biosciences, Noven, Otsuka, Sunovion, Takeda, Teva, and Tris Pharma; and has received research grants from Aevi Genomics, Akili Interactive, Alkermes, Allergan (now AbbVie), Arbor Pharmaceuticals, Biohaven, Ironshore, KemPharm, Lilly, Lundbeck, Neos Therapeutics, Novartis, Otsuka, Purdue Canada, Sunovion, Supernus Pharmaceuticals, Takeda and Tris Pharma. Drs Keyloun and Gillard are AbbVie employees and may hold stock. Dr Higa was an employee of AbbVie at the time of the study and may hold stock. Ms Park is an employee of Merative, formerly IBM Watson Health, which received funding from Allergan (prior to its acquisition by AbbVie) to conduct this analysis. Dr Bonafede was an employee of IBM Watson Health, now Merative, which received funding from Allergan (prior to its acquisition by AbbVie) to conduct this analysis. Dr Jain has served as a consultant to Addrenex, Allergan (now AbbVie), Avanir, Janssen, Lilly, Lundbeck, Merck, Neos Therapeutics, Neurocrine Biosciences, Otsuka, Pamlab, Pfizer, Shionogi, Shire, Sunovion, Supernus, Takeda, and Teva; has been a paid speaker for Addrenex, Alkermes, Allergan (now AbbVie), Lilly, Lundbeck, Merck, Neos Therapeutics, Otsuka, Pamlab, Pfizer, Rhodes, Shionogi, Shire, Sunovion, Takeda, and Tris Pharmaceuticals; has received research support from Allergan (now AbbVie), AstraZeneca, Lilly, Lundbeck, Otsuka, Pfizer, Shire, and Takeda; and has served on the advisory boards for Addrenex, Alkermes, Avanir, Forum, Janssen, Lilly, Lundbeck, Merck, Neos Therapeutics, Neurocrine Biosciences, Otsuka, Pamlab, Pfizer, Shionogi, Shire, Sunovion, Supernus, Takeda, and Teva.

Integrated Module of Multidimensional Omics for Peripheral Biomarkers (iMORE) in patients with major depressive disorder: rationale and design of a prospective multicentre cohort study

INTRODUCTION

Major depressive disorder (MDD) represents a worldwide burden on healthcare and the response to antidepressants remains limited. Systems biology approaches have been used to explore the precision therapy. However, no reliable biomarker clinically exists for prognostic prediction at present. The objectives of the Integrated Module of Multidimensional Omics for Peripheral Biomarkers (iMORE) study are to predict the efficacy of antidepressants by integrating multidimensional omics and performing validation in a real-world setting. As secondary aims, a series of potential biomarkers are explored for biological subtypes.

METHODS AND ANALYSIS

iMore is an observational cohort study in patients with MDD with a multistage design in China. The study is performed by three mental health centres comprising an observation phase and a validation phase. A total of 200 patients with MDD and 100 healthy controls were enrolled. The protocol-specified antidepressants are selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors. Clinical visits (baseline, 4 and 8 weeks) include psychiatric rating scales for symptom assessment and biospecimen collection for multiomics analysis. Participants are divided into responders and non-responders based on treatment response (>50% reduction in Montgomery-Asberg Depression Rating Scale). Antidepressants' responses are predicted and biomarkers are explored using supervised learning approach by integration of metabolites, cytokines, gut microbiomes and immunophenotypic cells. The accuracy of the prediction models constructed is verified in an independent validation phase.

ETHICS AND DISSEMINATION

The study was approved by the ethics committee of Shanghai Mental Health Center (approval number 2020-87). All participants need to sign a written consent for the study entry. Study findings will be published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT04518592.

TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains

BACKGROUND AND OBJECTIVES

There is an increasing interest to use real-world data to illustrate how patients with specific medical conditions are treated in real life. Insight in the current treatment practices helps to improve and tailor patient care, but is often held back by a lack of data interoperability and a high-level of required resources. We aimed to provide an easy tool that overcomes these barriers to support the standardized development and analysis of treatment patterns for a wide variety of medical conditions.

METHODS

We formally defined the process of constructing treatment pathways and implemented this in an open-source R package TreatmentPatterns (https://github.com/mi-erasmusmc/TreatmentPatterns) to enable a reproducible and timely analysis of treatment patterns.

RESULTS

The developed package supports the analysis of treatment patterns of a study population of interest. We demonstrate the functionality of the package by analyzing the treatment patterns of three common chronic diseases (type II diabetes mellitus, hypertension, and depression) in the Dutch Integrated Primary Care Information (IPCI) database.

CONCLUSION

TreatmentPatterns is a tool to make the analysis of treatment patterns more accessible, more standardized, and more interpretation friendly. We hope it thereby contributes to the accumulation of knowledge on real-world treatment patterns across disease domains. We encourage researchers to further adjust and add custom analysis to the R package based on their research needs.

Antidepressant prescriptions and therapy intensification in men and women newly diagnosed with depression in the UK

BACKGROUND

Evidence on therapeutic interventions and factors driving treatment intensification (TI) in people with incident depression in UK are scarce.

AIMS

To explore antidepressant prescribing patterns and factors influencing TI.

DESIGN

and setting: Retrospective cohort study of adults with incident depression diagnosed between 2006 and 2017 using UK primary care database.

METHODS

Patterns of antidepressant prescriptions, and factors influencing TI were evaluated by sex.

RESULTS

In 931,302 people with depression (90% initiating antidepressants), mean age was 39 years, 41% were male, 14% had cardiometabolic multimorbidity (CMM), and 54% were diagnosed at &lt; 40 years. Being the most prescribed first-line antidepressant (62%), SSRI prescribing rate increased from 66 per 1000 person-years to 170 per 1000 person-years; 24% (2% dose escalation, 4% adding, 18% switching) of first-line antidepressant initiators intensified with 13 months median time to TI. Compared to 60-70 years, younger adults had significantly higher TI risk (range of hazards ratio, HR: 1.08-1.42). CMM and anxiety were associated with 15-24% and 39-49% significantly higher TI risks respectively. First-line antidepressant and deprivation status influenced TI differently by gender.

CONCLUSIONS

Men and women with depression in UK have different antidepressant prescription patterns in real-world. Age at diagnosis, deprivation status and cardiometabolic multimorbidity are the major sociodemographic and non-psychiatric risk factors for therapeutic changes.

Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes

BACKGROUND

Identifying neurobiologically based transdiagnostic categories of depression and psychosis may elucidate heterogeneity and provide better candidates for predictive modeling. We aimed to identify clusters across patients with recent-onset depression (ROD) and recent-onset psychosis (ROP) based on structural neuroimaging data. We hypothesized that these transdiagnostic clusters would identify patients with poor outcome and allow more accurate prediction of symptomatic remission than traditional diagnostic structures.

METHODS

HYDRA (Heterogeneity through Discriminant Analysis) was trained on whole-brain volumetric measures from 577 participants from the discovery sample of the multisite PRONIA study to identify neurobiologically driven clusters, which were then externally validated in the PRONIA replication sample (n = 404) and three datasets of chronic samples (Centre for Biomedical Research Excellence, n = 146; Mind Clinical Imaging Consortium, n = 202; Munich, n = 470).

RESULTS

The optimal clustering solution was two transdiagnostic clusters (cluster 1: n = 153, 67 ROP, 86 ROD; cluster 2: n = 149, 88 ROP, 61 ROD; adjusted Rand index = 0.618). The two clusters contained both patients with ROP and patients with ROD. One cluster had widespread gray matter volume deficits and more positive, negative, and functional deficits (impaired cluster), and one cluster revealed a more preserved neuroanatomical signature and more core depressive symptomatology (preserved cluster). The clustering solution was internally and externally validated and assessed for clinical utility in predicting 9-month symptomatic remission, outperforming traditional diagnostic structures.

CONCLUSIONS

We identified two transdiagnostic neuroanatomically informed clusters that are clinically and biologically distinct, challenging current diagnostic boundaries in recent-onset mental health disorders. These results may aid understanding of the etiology of poor outcome patients transdiagnostically and improve development of stratified treatments.

Concordance of the treatment patterns for major depressive disorders between the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm and real-world practice in China

Background: Antidepressant (AD) algorithm is an important tool to support treatment decision-making and improve management of major depressive disorder (MDD). However, little is known about its concordance with real-world practice. This study aimed to assess the concordance between the longitudinal treatment patterns and AD algorithm recommended by a clinical practice guideline in China. Methods: Data were obtained from the electronic medical records of Shanghai Mental Health Center (SMHC), one of the largest mental health institutions in China. We examined the concordance between clinical practice and the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm among a cohort composed of 19,955 MDD patients. The longitudinal characteristics of treatment regimen and duration were described to identify the specific inconsistencies. Demographics and health utilizations of the algorithm-concordant and -discordant subgroups with optimized treatment were measured separately. Results: The overall proportion of algorithm-concordant treatment significantly increased from 84.45% to 86.03% during the year of 2015-2017. Among the patients who received recommended first-line drugs with subsequent optimized treatment (n = 2977), the concordance proportion was 27.24%. Mirtazapine and trazodone were the most used drugs for adjunctive strategy. Inadequate or extended duration before optimized treatment are common inconsistency. The median length of follow-up for algorithm-concordant (n = 811) and algorithm-discordant patients (n = 2166) were 153 days (Q1-Q3 = 79-328) and 368 days (Q1-Q3 = 181-577) respectively, and the average number of clinical visits per person-year was 13.07 and 13.08 respectively. Conclusion: Gap existed between clinical practice and AD algorithm. Improved access to evidence-based treatment is required, especially for optimized strategies during outpatient follow-up.

Unsupervised Machine Learning to Identify Depressive Subtypes

OBJECTIVES

This study evaluated an unsupervised machine learning method, latent Dirichlet allocation (LDA), as a method for identifying subtypes of depression within symptom data.

METHODS

Data from 18,314 depressed patients were used to create LDA models. The outcomes included future emergency presentations, crisis events, and behavioral problems. One model was chosen for further analysis based upon its potential as a clinically meaningful construct. The associations between patient groups created with the final LDA model and outcomes were tested. These steps were repeated with a commonly-used latent variable model to provide additional context to the LDA results.

RESULTS

Five subtypes were identified using the final LDA model. Prior to the outcome analysis, the subtypes were labeled based upon the symptom distributions they produced: psychotic, severe, mild, agitated, and anergic-apathetic. The patient groups largely aligned with the outcome data. For example, the psychotic and severe subgroups were more likely to have emergency presentations (odds ratio [OR] = 1.29; 95% confidence interval [CI], 1.17-1.43 and OR = 1.16; 95% CI, 1.05-1.29, respectively), whereas these outcomes were less likely in the mild subgroup (OR = 0.86; 95% CI, 0.78-0.94). We found that the LDA subtypes were characterized by clusters of unique symptoms. This contrasted with the latent variable model subtypes, which were largely stratified by severity.

CONCLUSIONS

This study suggests that LDA can surface clinically meaningful, qualitative subtypes. Future work could be incorporated into studies concerning the biological bases of depression, thereby contributing to the development of new psychiatric therapeutics.

Dose effects of tricyclic antidepressants in the treatment of acute depression - A systematic review and meta-analysis of randomized trials

BACKGROUND

Tricyclic antidepressants (TCA) continue to be an important group of drugs, but it is unclear whether a dose-response relationship is supported by high-level evidence.

METHODS

Systematic review in the Cochrane Collaboration's Central Register of Controlled Trials (CENTRAL) of studies randomizing patients to at least two doses of one TCA, complemented by searches in Medline, Embase, and PsycInfo. In multilevel regression, we calculated the standardized mean difference (SMD) in antidepressant efficacy per mg TCA dose increase, and we analyzed drop-outs due to adverse events. Finally, we computed random effects meta-analyses of all dose comparisons investigated in a minimum of two studies.

RESULTS

Out of 5365 studies screened, we included 15 randomized trials on 24 comparisons of 14 different dose contrasts. We found a statistically non-significant positive effect of increasing the dose: 0.34 SMD with 100 mg/d dose increase ([-0.03; 0.70] p = 0.073). While several comparisons showed no clear signal of a dose gradient, 300 mg of imipramine/desipramine is statistically significantly superior to 150 mg (SMD: 0.80 [0.28; 1.33], p = 0.003, I²: 0%). Drop-outs increased with higher doses, albeit not statistically significantly: Odds ratio (OR) of 1.44 with 100 mg dose increase [0.54; 3.86]. Overall, risk of bias was high.

LIMITATIONS

Limited number of studies with mainly high risk of bias.

CONCLUSIONS

So far, data on a dose-response relationship in TCAs from direct dose comparisons are inconclusive. Clinically, escalation to high doses may be justified if side effects are bearable.

Care pathways for people with major depressive disorder: a European Brain Council Value of Treatment study

Background

Despite well-established guidelines for managing major depressive disorder, its extensive disability burden persists. This Value of Treatment mission from the European Brain Council aimed to elucidate the nature and extent of “gaps” between best-practice and current-practice care, specifically to:Identify current treatment gaps along the care pathway and determine the extent of these gaps in comparison with the stepped-care model and Recommend policies intending to better meet patient needs (i.e., minimize treatment gaps).

Methods

After agreement upon a set of relevant treatment gaps, data pertaining to each gap were gathered and synthesized from several sources across six European countries. Subsequently, a modified Delphi approach was undertaken to attain consensus among an expert panel on proposed recommendations for minimizing treatment gaps.

Results

Four recommendations were made to increase the depression diagnosis rate (from ~50% episodes), aiming to both increase the number of patients seeking help, and the likelihood of a practitioner to correctly detect depression. These should reduce time to treatment (from ~1 to ~8 years after illness onset) and increase rates of treatment; nine further recommendations aimed to increase rates of treatment (from ~25 to ~50% of patients currently treated), mainly focused on targeting the best treatment to each patient. To improve follow-up after treatment initiation (from ~30 to ~65% followed up within 3 months), seven recommendations focused on increasing continuity of care. For those not responding, 10 recommendations focused on ensuring access to more specialist care (currently at rates of ~5–25% of patients).

Conclusions

The treatment gaps in depression care are substantial and concerning, from the proportion of people not entering care pathways to those stagnating in primary care with impairing and persistent illness. A wide range of recommendations can be made to enhance care throughout the pathway.

Dose-Response Relationship in Selective Serotonin and Norepinephrine Reuptake Inhibitors in the Treatment of Major Depressive Disorder: A Meta-Analysis and Network Meta-Analysis of Randomized Controlled Trials

INTRODUCTION

Selective serotonin and norepinephrine reuptake inhibitors (SNRI) are among the most prescribed antidepressants, and dose escalation is a frequently applied strategy after non-response to an initially prescribed dose.

OBJECTIVE

This meta-analysis aimed to find evidence of a dose-response relationship or to the contrary in direct comparisons of different SNRI doses in patients with major depressive disorder.

METHODS

A systematic literature search for RCTs comparing at least two doses of SNRIs was carried out in CENTRAL, PubMed, PsycINFO, and EMBASE. Doses were classified as high, medium, and low according to manufacturers' product monographs and analyses at the level of SNRIs as a group and for single substances, accompanied by sensitivity network meta-analyses (Prospero CRD42018081031).

RESULTS

From 2,070 studies screened, we included 26 studies with a total of 10,242 patients. Comparisons of medium versus low and high versus medium doses resulted in clinically and statistically non-significant standardized mean differences of -0.06 (-0.16 to 0.04) and -0.06 (-0.16 to 0.03) in favor of higher doses. In the analyses of single substances, no statistically significant results emerged, and many contrasts yielded very small effect sizes. Dropouts due to side effects tended to be more frequent with higher doses. Heterogeneity was low. Network meta-analyses of direct comparisons supported the findings, as did a risk of bias analysis.

CONCLUSION

Based on the lack of positive evidence for a dose-response relationship in SNRIs as a group and in single SNRIs, we recommend prescribing medium doses. In case of insufficient response, we do not recommend increasing the dose of SNRIs.

Treatment of difficult-to-treat depression - clinical guideline for selected interventions

BACKGROUND

Difficult-to-treat-depression (DTD) is a clinical challenge. The interventions that are well-established for DTD are not suitable or effective for all the patients. Therefore, more treatment options are highly warranted. We formulated an evidence-based guideline concerning six interventions not well-established for DTD in Denmark.

METHODS

Selected review questions were formulated according to the PICO principle with specific definitions of the patient population (P), the intervention (I), the comparison (C), and the outcomes of interest (O), and systematic literature searches were performed stepwise for each review question to identify relevant systematic reviews/meta-analyses, and randomized controlled trials. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was used to assess the methodological quality of the included studies. Clinical recommendations were formulated based on the evidence, the risk-benefit ratio, and perceived patient preferences.

RESULTS

We found sufficient evidence for a weak recommendation of repetitive transcranial magnetic stimulation (rTMS) and cognitive behavioural analysis system of psychotherapy (CBASP). The use of bright light therapy in DTD was not sufficiently supported by the evidence, but should be considered as good clinical practice. The interventions should be considered in addition to ongoing antidepressant treatment. We did not find sufficient evidence to recommend intravenous ketamine/esketamine, rumination-focused psychotherapy, or cognitive remediation to patients with DTD.

CONCLUSION

The evidence supported two of the six reviewed interventions, however it was generally weak which emphasizes the need for more good quality studies. This guideline does not cover all treatment options and should be regarded as a supplement to relevant DTD-guidelines.

Depression, Anxiety, and Patterns of Mental Health Care Among Men With Prostate Cancer Receiving Androgen Deprivation Therapy

BACKGROUND

Androgen deprivation therapy (ADT) use is associated with an increased risk of developing depression and anxiety. Little is known about how the mental health of these men is treated.

MATERIALS AND METHODS

We identified men with prostate cancer who received ADT between 2001 and 2015 using Optum's de-identified Clinformatics Data Mart Database. We determined the incidence of depression or anxiety diagnoses, mental health treatments, and the specialty of providers initiating psychotropic medications, after the start of ADT. Outcomes were compared with those of men with prostate cancer not receiving ADT and men without prostate cancer.

RESULTS

Of 37 388 men with prostate cancer treated with ADT, 3964 (10.6%) received a new diagnosis of depression or anxiety. Of those 3964 men, 1892 (47.7%) did not receive a documented treatment, 10 (0.3%) received psychotherapy, 1321 (33.3%) a selective serotonin reuptake inhibitor, and 744 (18.8%) a benzodiazepine. The median time from initiation of ADT to a depression or anxiety diagnosis was 9.3 months. Primary care physicians were the most common prescribers of psychotropic medications (72.2%). The proportion of men not receiving mental health treatments of interest (47.7%) was similar compared to men without prostate cancer (49.1%), but statistically significantly lower compared to men with prostate cancer not receiving ADT (52.7%).

CONCLUSIONS

In men with prostate cancer receiving ADT with a new diagnosis of depression or anxiety, nearly half are not receiving mental health care while one in five is introduced to a benzodiazepine. Further investigation toward improving the mental health care for men on ADT is needed.

The sociodemographic and clinical profile of patients with major depressive disorder receiving SSRIs as first-line antidepressant treatment in European countries

INTRODUCTION

Due to favorable antidepressant (AD) efficacy and tolerability, selective-serotonin reuptake inhibitors (SSRIs) are consistently recommended as substances of first choice for the treatment of major depressive disorder (MDD) in international guidelines. However, little is known about the real-world clinical correlates of patients primarily prescribed SSRIs in contrast to those receiving alternative first-line ADs.

METHODS

These secondary analyses are based on a naturalistic, multinational cross-sectional study conducted by the European Group for the Study of Resistant Depression at ten research sites. We compared the socio-demographic and clinical characteristics of 1410 patients with primary MDD, who were either prescribed SSRIs or alternative substances as first-line AD treatment, using chi-squared tests, analyses of covariance, and logistic regression analyses.

RESULTS

SSRIs were prescribed in 52.1% of MDD patients who showed lower odds for unemployment, current severity of depressive symptoms, melancholic features, suicidality, as well as current inpatient treatment compared to patients receiving alternative first-line ADs. Furthermore, patients prescribed SSRIs less likely received add-on therapies including AD combination and augmentation with antipsychotics, and exhibited a trend towards higher response rates.

CONCLUSION

A more favorable socio-demographic and clinical profile associated with SSRIs in contrast to alternative first-line ADs may have guided European psychiatrists' treatment choice for SSRIs, rather than any relevant pharmacological differences in mechanisms of action of the investigated ADs. Our results must be cautiously interpreted in light of predictable biases resulting from the open treatment selection, the possible allocation of less severely ill patients to SSRIs as well as the cross-sectional study design that does not allow to ascertain any causal conclusions.

Effectiveness of vortioxetine for major depressive disorder in real-world clinical practice: US cohort results from the global RELIEVE study

INTRODUCTION

Effective treatment of major depressive disorder (MDD) involves addressing both depressive and functional symptoms, increasing patients' overall sense of well-being and quality of life (QoL).

METHODS

RELIEVE was an international observational, prospective study in patients ≥18 years with a current diagnosis of a major depressive episode (MDE) initiating vortioxetine in routine clinical practice; outcomes for the cohort of participants from the United States are presented here. Functioning was assessed at weeks 12 and 24 versus baseline using the Sheehan Disability Scale (SDS). Secondary effectiveness analyses assessed changes from baseline to weeks 12 and 24 in functioning, depression severity, cognitive symptoms, sexual function, and QoL.

RESULTS

244 participants had an average of 8.2 previous MDEs; mean duration of their current MDE at baseline was 93.5 weeks. Vortioxetine was used as second- or later-line treatment for 80.5% of participants. Least-squares mean (SE) SDS total score significantly decreased from baseline by 7.19 (0.52) points at week 12 and 8.19 (0.56) points at week 24 (p < 0.0001 for both). Significant improvements were also reflected across SDS subscores, depression severity, cognitive function, sexual function, and QoL. Healthcare resource utilization and productivity parameters also improved. Adverse events were observed in 21.8% of patients, with nausea being the most common (7.3%).

CONCLUSION

This real-world study demonstrated improvements in functioning, depressive symptoms, and cognitive function in patients with MDD treated with vortioxetine in routine clinical practice in the cohort of patients enrolled in the United States. Outcomes were consistent with the efficacy and safety profile of vortioxetine in randomized controlled trials.

Treatment patterns of patients diagnosed with major depressive disorder and suicidal ideation or attempt: a U.S. population-based study utilizing real-world data

BACKGROUND

There is a knowledge gap regarding the treatment patterns of patients with major depressive disorder (MDD) who experience suicidal ideation or a suicide attempt (SI/SA).

METHODS

Patients with SI/SA were identified from a large US-based claims database covering 84 million lives, during 1/1/2014-3/31/2020. Patients with MDD were indexed at their first diagnosis for SI/SA and followed up to 365 days. Treatment patterns were captured at the class level and included procedures of electroconvulsive therapy and transcranial magnetic stimulation, and pharmacotherapy including selective serotonin reuptake inhibitors (SSRIs), serotonin and norepinephrine reuptake inhibitors, tricyclic antidepressants, other antidepressants, anxiolytics, hypnotics/sedatives, antipsychotics, psychostimulants, and lithium.

RESULTS

There were 42,204 MDD + SI/SA patients identified. In the year prior to the index event > 40% of individuals received an SSRI and more than one-third received an anxiolytic. Within 1 year following, 84.4% received ≥1 of the treatments of interest. Of those, 70.2% went on to a subsequent class-based regimen, 46.3% received a third, and 28.1% received ≥4. More than three-quarters of patients received multiple treatment classes simultaneously. SSRIs were the most common treatments during follow-up (61.9%), followed by other antidepressants (51.3%), anxiolytics (50.8%) and anticonvulsants (43.6%).

CONCLUSIONS

There was a large amount of variability and polypharmacy in the treatments received by MDD patients with SI/SA, and is much more complex than what has been previously observed in the general MDD population. Within one-year, many patients received four or more unique class-based regimens and most patients received treatments from multiple classes simultaneously, indicating the high unmet medical need and therapy refractoriness of this patient population.

The effect of selective serotonin reuptake inhibitors on cognitive impairment in patients with depression: A prospective, multicenter, observational study

Whether selective serotonin reuptake inhibitors (SSRIs) can improve cognitive function in depressed patients remains unclear. We aimed to explore the effect of SSRIs on cognitive function and the influencing factors in patients with major depressive disorder (MDD) with impaired cognitive function. We used a neurocognitive test battery to assess five cognitive domains, namely, attention/vigilance, learning, memory, processing speed and executive functioning, and calculated the Global Deficit Score (GDS). A GDS≥0.5 indicated overall cognitive impairment. The changes in the cognitive domains and overall cognitive function were analyzed in MDD patients with a baseline GDS≥0.5 who completed 8 weeks of SSRI treatment. We divided the patients into the cognitive remission and nonremission groups to explore the associated factors. In total, 160 patients (mean age 37.6 ± 10.8 years, 30.6% male) were included in the final analysis. The median (quartiles) of baseline GDS and HRSD₁₇ were 1.4 (0.8, 1.9) and 19.5 (17.0, 23.0), respectively. All five cognitive domains improved after the treatment, while only 41 (25.6%) patients achieved cognitive remission. Recurrence and a higher baseline GDS were risk factors for cognitive nonremission. More aggressive interventions may be needed to promote cognitive remission in clinical practice, especially for patients with severe cognitive impairment and recurrent episodes.

Depression and Antidepressants During Pregnancy: Craniofacial Defects Due to Stem/Progenitor Cell Deregulation Mediated by Serotonin

Depression is a common and debilitating mood disorder that increases in prevalence during pregnancy. Worldwide, 7 to 12% of pregnant women experience depression, in which the associated risk factors include socio-demographic, psychological, and socioeconomic variables. Maternal depression could have psychological, anatomical, and physiological consequences in the newborn. Depression has been related to a downregulation in serotonin levels in the brain. Accordingly, the most commonly prescribed pharmacotherapy is based on selective serotonin reuptake inhibitors (SSRIs), which increase local serotonin concentration. Even though the use of SSRIs has few adverse effects compared with other antidepressants, altering serotonin levels has been associated with the advent of anatomical and physiological changes in utero, leading to defects in craniofacial development, including craniosynostosis, cleft palate, and dental defects. Migration and proliferation of neural crest cells, which contribute to the formation of bone, cartilage, palate, teeth, and salivary glands in the craniofacial region, are regulated by serotonin. Specifically, craniofacial progenitor cells are affected by serotonin levels, producing a misbalance between their proliferation and differentiation. Thus, it is possible to hypothesize that craniofacial development will be affected by the changes in serotonin levels, happening during maternal depression or after the use of SSRIs, which cross the placental barrier, increasing the risk of craniofacial defects. In this review, we provide a synthesis of the current research on depression and the use of SSRI during pregnancy, and how this could be related to craniofacial defects using an interdisciplinary perspective integrating psychological, clinical, and developmental biology perspectives. We discuss the mechanisms by which serotonin could influence craniofacial development and stem/progenitor cells, proposing some transcription factors as mediators of serotonin signaling, and craniofacial stem/progenitor cell biology. We finally highlight the importance of non-pharmacological therapies for depression on fertile and pregnant women, and provide an individual analysis of the risk-benefit balance for the use of antidepressants during pregnancy.

Characteristics of patients with major depressive disorder switching SSRI/SNRI therapy compared with those augmenting with an atypical antipsychotic in a real-world setting

BACKGROUND

Following a partial response of first-line antidepressant therapy for the treatment of major depressive disorder (MDD), there is a choice to augment treatment with another agent or switch to a different antidepressant.

OBJECTIVE

To report the prevalence and compare the characteristics of patients switching from their initial selective serotonin reuptake inhibitor or serotonin-norepinephrine reuptake inhibitor (SSRI/SNRI) to a new SSRI/SNRI versus those augmenting SSRI/SNRI therapy with a second-generation antipsychotic (SGA).

METHODS

MDD patients receiving first-line SSRI/SNRI treatment were identified from a large US-based claims database during 2000-2019. Patients augmenting therapy with an SGA were compared with those who switched to a new SSRI/SNRI. The date of the treatment change was the index date. Previously diagnosed comorbid conditions, medication use and demographics were captured. Treatment patterns following the index date were also captured. Standardized differences (StdDiff) were used to quantify dissimilarities between the two groups.

RESULTS

There were 4572 SGA add-on and 24,409 switching patients identified. SGA augmentation patients had more severe disease (diagnosed severe recurrent major depression: 24.7% vs. 9.5%, StdDiff = 0.41) and more diagnosed psychiatric conditions, including: suicidal thoughts (10.7% vs. 3.2%, StdDiff = 0.29), post-traumatic stress disorder (6.1% vs. 2.6%, StdDiff = 0.17) and alcohol abuse (5.4% vs. 2.7%, StdDiff = 0.14). SGA augmentation patients had higher rates of prior use of anxiolytics (37.4% vs. 28.2%, StdDiff = 0.20) and anticonvulsants (26.0% vs. 13.1%, StdDiff = 0.33).

CONCLUSIONS

Patients adding an SGA to their SSRI/SNRI therapy appeared to have more severe depression and comorbid psychiatric profile than those switching their SSRI/SNRI. These differences are important to consider and adequately control for in any future comparative outcome research between these two groups.

At baseline patients treated with esketamine have higher burden of disease than other patients with treatment resistant depression: Learnings from a population based study

INTRODUCTION

It is critical to assess who is being treated with a new marketed drug like esketamine to understand how it is used in the real-world setting and the effects of the medication.

METHODS

Retrospective analysis using two large U.S. health care databases that included commercially insured and Medicaid patients. Patients treated with esketamine were identified and their baseline characteristics described and compared with the baseline characteristics of patients with treatment resistant depression (TRD) and with patients undergoing transcranial magnetic stimulation (TMS). To quantify the differences, standardized mean differences were calculated.

RESULTS

In the commercially insured database, 418 patients were treated with esketamine and 830,047 patients were in the TRD group. Large differences in baseline characteristics were observed. Patients in the esketamine group were more likely to have severe depression, suicidal thoughts, and prior treatments with TMS or electroconvulsive therapy than the TRD control group. Patients in the esketamine group had more comorbid psychiatric conditions (anxiety disorder, posttraumatic stress disorders, substance use disorders) and higher exposure to antipsychotics, antiepileptics, hypnotics and sedatives. In terms of general health, patients in the esketamine group had many more outpatient visits, were more likely to have chronic pain and higher Charlson comorbidity scores, a predicator of mortality. Results were similar for both the Medicaid and TMS populations.

CONCLUSION

Patients treated with esketamine have a higher burden of disease than other patients with TRD. In any real-world comparative effectiveness or safety study these differences need to be understood and accounted for to produce valid results.

Sentiment Analysis of Online Reviews for Selective Serotonin Reuptake Inhibitors and Serotonin-Norepinephrine Reuptake Inhibitors

BACKGROUND

Depression affects millions worldwide, with drug therapy being the mainstay treatment. A variety of factors, including personal reviews, are involved in the success or failure of medication therapy. This study looked to characterize the sentiment of online medication reviews of Selective Serotonin Reuptake Inhibitors (SSRIs) and Serotonin-Norepinephrine Reuptake Inhibitor (SNRIs) used to treat depression.

METHODS

The publicly available data source used was the Drug Review Dataset from the University of California Irvine Machine Learning Repository. The dataset contained the following variables: ID, drug name, condition, review, rating, date, and usefulness count. This study utilized a sentiment analysis of free-text, online reviews via the sentimentr package. A Mann-Whitney U test was used for comparisons.

RESULTS

The average sentiment was higher in SSRIs compared to SNRIs (0.065 vs. 0.005, p < 0.001). The average sentiment was also found to be higher in high-rated reviews than in low-rated reviews (0.169 vs. -0.367, p < 0.001). Ratings were similar in the high-rated SSRI group and high-rated SNRI group (9.19 vs. 9.19).

CONCLUSIONS

This study supports the use of sentiment analysis using the AFINN lexicon, as the lexicon showed a difference in sentiment between high-rated reviews from low-rated reviews. This study also found that SNRIs have more negative sentiment and lower-rated reviews than SSRIs.

Vitamin D Doses from Solar Ultraviolet and Dietary Intakes in Patients with Depression: Results of a Case-Control Study

The purpose of this study to estimate cumulative vitamin D doses from solar ultraviolet and dietary intakes in patients with depression and compare it to healthy controls. Using a case-control research design, a sample of 96 patients with depression were age- and sex-matched with 96 healthy controls. Dietary vitamin D dose was estimated from diet analysis. Vitamin D-weighted ultraviolet solar doses were estimated from action spectrum conversion factors and geometric conversion factors accounting for the skin type, the fraction of body exposed, and age factor. Patients with depression had a lower dose of vitamin D (IU) per day with 234, 153, and 81 per day from all sources, sunlight exposure, and dietary intake, respectively. Controls had a higher intake of vitamin D (IU) per day with 357, 270, and 87 per day from all sources, sunlight exposure, and dietary intake, respectively. Only 19% and 30% met the minimum daily recommended dose of ≥400 IU per day for cases and controls, respectively. The sensitivity, specificity, percentage correctly classified and receiver operating characteristic (ROC) Area for the estimated vitamin D against serum vitamin D as reference were 100%, 79%, 80%, and 89%. Physical activity level was the only predictor of daily vitamin D dose. Vitamin D doses are lower than the recommended dose of ≥400 IU (10 mcg) per day for both cases with depression and healthy controls, being much lower in the former.

Effects of different antidepressant classes on dental implant failure: A retrospective clinical study

BACKGROUND

Previous studies have suggested an association between taking antidepressants and dental implant failure. This study aimed to investigate the association of different antidepressant classes with dental implant failure.

METHODS

This retrospective study included patients that received dental implants at the University of Florida from 2011 to 2016. The variables of implant failure, antidepressant use and classes (selective serotonin reuptake inhibitors [SSRI], serotonin-norepinephrine reuptake inhibitors [SNRI], tricyclic antidepressants [TCA], atypical antidepressants [AA], and monoamine oxidase inhibitors [MAOI]), age, sex, smoking, mild systemic diseases, and implant location were obtained from patients' records. Odds ratio (OR) and confidence interval (CI) of implant failure in patients taking different antidepressant classes, in relationship to non-antidepressant users, were estimated, and the influence of multiple variables on implant failure were investigated.

RESULTS

A total of 771 patients and 1,820 implants were evaluated. The statistically significant predictors for implant failure included smoking (OR = 5.221), use of antidepressants (OR = 4.285), posterior maxilla location (OR = 2.911), mild systemic disease (OR = 2.648), and age (OR = 1.037) (P <0.05). The frequency of implant failure was 33.3% in TCA users, 31.3% in SNRI users, 6.3% in SSRI users, 5.2% in Atypical antidepressant users, and 3.9% in non-users. Significant associations were observed between the use of SNRI (OR: 11.07; 95% CI: 3.265 to 33.82) and TCA (OR: 12.16; 95% CI: 1.503 to 71.58) and implant failure (P <0.05).

CONCLUSIONS

Users of antidepressants were at higher risk of implant failure than non-users. Patients taking SNRI and TCA were at the highest risk of implant loss, when compared with non-users. Conclusions about TCA, however, are based on a limited number of cases.