Substance use disorders and risk for treatment resistant depression: a population-based, nested case-control study

Genetic Correlates of Treatment-Resistant Depression: Insights from Polygenic Scores Across Cognitive, Temperamental, and Sleep Traits in the All of US cohort

Background

Treatment-resistant depression (TRD) is a major challenge in mental health, affecting a significant number of patients and leading to considerable economic and social burdens. The etiological factors contributing to TRD are complex and not fully understood.

Objective

To investigate the genetic factors associated with TRD using polygenic scores (PGS) across various traits, and to explore their potential role in the etiology of TRD using large-scale genomic data from the All of Us Research Program (AoU).

Methods

Data from 292,663 participants in the AoU were analyzed using a case-cohort design. Treatment resistant depression (TRD), treatment responsive Major Depressive Disorder (trMDD), and all others who have no formal diagnosis of Major Depressive Disorder (non-MDD) were identified through diagnostic codes and prescription patterns. Polygenic scores (PGS) for 61 unique traits from seven domains were used and logistic regressions were conducted to assess associations between PGS and TRD. Finally, Cox proportional hazard models were used to explore the predictive value of PGS for progression rate from the diagnostic event of Major Depressive Disorder (MDD) to TRD.

Results

In the discovery set (104128 non-MDD, 16640 trMDD, and 4177 TRD), 44 of 61 selected PGS were found to be significantly associated with MDD, regardless of treatment responsiveness. Eleven of them were found to have stronger associations with TRD than with trMDD, encompassing PGS from domains in education, cognition, personality, sleep, and temperament. Genetic predisposition for insomnia and specific neuroticism traits were associated with increased TRD risk (OR range from 1.05 to 1.15), while higher education and intelligence scores were protective (ORs 0.88 and 0.91, respectively). These associations are consistent across two other independent sets within AoU (n = 104,388 and 63,330). Among 28,964 individuals tracked over time, 3,854 developed TRD within an average of 944 days (95% CI: 883 ~ 992 days) after MDD diagnosis. All eleven previously identified and replicated PGS were found to be modulating the conversion rate from MDD to TRD. Thus, those having higher education PGS would experiencing slower conversion rates than those who have lower education PGS with hazard ratios in 0.79 (80th versus 20th percentile, 95% CI: 0.74 ~ 0.85). Those who had higher insomnia PGS experience faster conversion rates than those who had lower insomnia PGS, with hazard ratios in 1.21 (80th versus 20th percentile, 95% CI: 1.13 ~ 1.30).

Conclusions

Our results indicate that genetic predisposition related to neuroticism, cognitive function, and sleep patterns play a significant role in the development of TRD. These findings underscore the importance of considering genetic and psychosocial factors in managing and treating TRD. Future research should focus on integrating genetic data with clinical outcomes to enhance our understanding of pathways leading to treatment resistance.

Neuropsychological functioning of patients with major depression or bipolar disorder comorbid to substance use disorders: A systematic review

Major depression disorder (MDD) and bipolar disorder (BD) are usual comorbidities in patients with substance use disorders (SUD), a condition known as dual disorder (DD). MDD, BD and SUD are associated with cognitive impairment, potentially leading to a greater functional impairment in the context of DD.

OBJECTIVES

To review the existing data on the cognitive impairment in DD patients with comorbid MDD or BD, considering the influence of the depressive symptomatology.

METHODS

Following the PRISMA protocol 19 studies were selected from the last 17 years, 13 of which focused on BD, five on MDD and one included both diagnoses.

RESULTS

Studies based in BD+SUD showed that the most affected cognitive domains were attention and executive functions, but not all of them found a greater impairment due to the comorbidity. While fewer studies were found for depression, MDD+SUD works point to a similar impairment cognitive pattern. Furthermore, depression improvement could be associated to better cognitive performance.

LIMITATIONS

More standardized research is needed regarding the influence of depression on cognitive performance of DD patients, especially on those with comorbid MDD. Factors such as main substance, abstinence, or MDD/BD-related variables should be considered. Unstudied factors, like gender or circadian rhythms, are proposed to improve knowledge in this area.

CONCLUSIONS

Current studies suggest that DD could potentiate cognitive impairment in BD, MDD and SUD. However, additional research is needed to improve the understanding of comorbidity to apply more individualized therapies in the treatment of these patients, considering the interference of their neurocognitive functioning.

Esketamine in treatment-resistant depression patients comorbid with substance-use disorder: A viewpoint on its safety and effectiveness in a subsample of patients from the REAL-ESK study

Esketamine, the S-enantiomer of ketamine, has recently emerged as a therapy for treatment-resistant depression (TRD), showing both rapid antidepressant action and good efficacy and high safety. It is also indicated for the acute short-term treatment of psychiatric emergency due to major depressive disorder (MDD) and for depressive symptoms in adults with MDD with acute suicidal thoughts/behavior. We here provide preliminary insights on esketamine nasal spray (ESK-NS) effectiveness and safety among patients with a substance use disorder (SUD) within the sample of patients with TRD collected for the observational, retrospective, multicentre REAL-ESK study. Twenty-six subjects were retrospectively selected according to the presence of a SUD in comorbidity. Subjects enrolled completed the three different follow-up phases (T0/baseline, T1/after one month, and T2/after three months) and there were no dropouts. A decrease in Montgomery-Asberg depression rating scale (MADRS) scores was recorded, thus highlighting the antidepressant efficacy of ESK-NS (MADRS decreased from T0 to T1, t = 6.533, df=23, p<0.001, and from T1 to T2, t = 2.029, df=20, p = 0.056). Considering tolerability and safety issues, one or more side effects were reported by 19/26 subjects (73%) after treatment administration. All reported side effects were time-dependent and did not cause significant sequelae; among them, dissociative symptoms (38%) and sedation (26%) were the most frequently reported. Finally, no cases of abuse or misuse of ESK-NS were reported. Despite study limitations related to the inherent nature of the study, a limited number of patients, and a short follow-up period, ESK-NS showed to be effective and safe in patients diagnosed with TRD comorbid with a SUD.

Comparison on the clinical features in patients with or without treatment-resistant depression: A National Survey on Symptomatology of Depression report

Patients with treatment-resistant depression (TRD) have fewer treatment options and worse prognoses than those without TRD. Although the etiology or pathophysiology of TRD remains unclear, certain clinical variables have been found to be related to its severity and prognosis. Therefore, 1151 patients with recurrent depression were recruited from the National Survey on Symptomatology of Depression (NSSD) and their depressive symptoms were assessed by using the doctor-rating assessment questionnaire. Then, the differences between patients with or without TRD were compared by parametric or nonparametric tests and the risk factors for TRD were explored by logistic regression. The results showed there were differences in clinical variables between patients with and without TRD. Additionally, we found depression with more somatic symptoms had a higher risk for TRD. Further analysis by stepwise logistic regression showed that age, gender, religious belief, drinking habit, the total course of depression, the number of hospitalizations, characteristics of seasonal episode remission, depressed mood, hypersexuality, emotionally incoherent psychotic symptoms, psychomotor agitation, respiratory system symptoms and history of suicide attempts were strongly associated with TRD. So, it is crucial for clinicians to identify these clinical features and adjust treatments timely.

Treatment patterns and healthcare utilization of patients with treatment-resistant depression estimated using health insurance database: A population-based study from Taiwan

BACKGROUND

Determining the proportion of patients with treatment-resistant depression (TRD) among patients with unipolar depression receiving adequate pharmacological treatment (pharmaceutically treated depression [PTD]) is clinically important and may affect health care utilization. In Taiwan, these issues can be assessed by analyzing population-based data.

METHODS

The present study included data from the Taiwan National Health Insurance Research Database from 2010 to 2017. Among patients with depression, PTD was defined by the receipt of at least one adequate antidepressant treatment, and TRD was defined as receiving a third adequate antidepressant treatment after failure to respond to two prior treatments. Time of progression from PTD to TRD was estimated via the Kaplan-Meier function. A propensity-matched case-comparison cohort approach was used to compare resource utilization between patients with non-TRD PTD and TRD.

RESULTS

TRD was defined in 11.2 % of patients with unipolar depression and 37.1 % of PTD patients. The time of progression from PTD to TRD was approximately 1 year. Most TRD patients were women, middle-aged, and treated in general practice clinics. Antidepressant monotherapy, followed by antidepressant with augmentation, was the most common treatment strategy applied to TRD patients. Medical utilization was significantly higher in patients with TRD than those with non-TRD PTD across most aspects.

LIMITATIONS

TRD was defined based on pharmacological treatment patterns, as the reasons for changes in antidepressant regimens were not available.

CONCLUSION

Approximately one-third of patients with PTD developed TRD, often soon after receiving adequate pharmacological treatment. Patients with TRD used more medical resources than patients with non-TRD PTD.

Perspectives on the success rate of current antidepressant pharmacotherapy

INTRODUCTION

There has been growing debate about the effectiveness of traditional antidepressants for the treatment of depression, and whether the clinical trials literature overstates the value of existing agents. Antidepressant efficacy is limited by suboptimal remission rates, lack of robust efficacy across diverse depressed subgroups, slow onset, and challenges managing tolerability. Clinicians can better navigate uncertainties in this area by recognizing patient-specific clinical and prognostic factors that influence the likelihood of antidepressant drug response.

AREAS COVERED

The author summarizes pertinent literature regarding drug-placebo differences in antidepressant outcome as well as patient-specific factors that influence antidepressant drug responsivity across subtypes of depressive disorders.

EXPERT OPINION

Standardized effect sizes for most monoaminergic antidepressants are relatively modest. At least one-third of treatment response derives from nonspecific (yet substantial) placebo effects, limiting the ability to compare antidepressant medication effects to that of "no treatment." Patients with high baseline depressive symptom severity are less likely to respond to placebo but may be more responsive to antidepressant pharmacotherapy than is the case in mild forms of depression. Patient satisfaction with antidepressant response must take into consideration not only efficacy for reducing symptoms but also drug tolerability/acceptability and tangible improvement in functional outcome and quality of life.

Untargeted Metabolomics Reveals the Potential Antidepressant Activity of a Novel Adenosine Receptor Antagonist

Depression is the most common mental illness, affecting approximately 4.4% of the global population. Despite many available treatments, some patients exhibit treatment-resistant depression. Thus, the need to develop new and alternative treatments cannot be overstated. Adenosine receptor antagonists have emerged as a promising new class of antidepressants. The current study investigates a novel dual A₁/A_2A adenosine receptor antagonist, namely 2-(3,4-dihydroxybenzylidene)-4-methoxy-2,3-dihydro-1H-inden-1-one (1a), for antidepressant capabilities by determining its metabolic profiles and comparing them to those of two reference compounds (imipramine and KW-6002). The metabolic profiles were obtained by treating male Sprague-Dawley rats with 1a and the reference compounds and subjecting them to the forced swim test. Serum and brain material was consequently collected from the animals following euthanasia, after which the metabolites were extracted and analyzed through untargeted metabolomics using both ¹H-NMR and GC-TOFMS. The current study provides insight into compound 1a's metabolic profile. The metabolic profile of 1a was similar to those of the reference compounds. They potentially exhibit their antidepressive capabilities via downstream effects on amino acid and lipid metabolism.

A comparison of the safety, feasibility, and tolerability of ECT and ketamine for treatment-resistant depression

INTRODUCTION

Treatment-resistant depression (TRD) is a problematic and prevalent public health and societal concern. Although electroconvulsive therapy (ECT) is the gold standard TRD intervention, the treatment evokes apprehension due to public perceptions, feasibility, and tolerability. Despite significant medical advancements, few medications have been approved by the U.S. Food and Drug Administration for TRD. In 2019, intranasal esketamine, the S-isomer of racemic ketamine, was approved for TRD, garnering significant excitement about the potential for the drug to act as an alternative treatment to ECT.

AREAS COVERED

The goal of this narrative review is to compare the safety, efficacy, and tolerability of ketamine and ECT; clarify whether ketamine is a reasonable alternative to ECT; and to facilitate improved treatment assignment for TRD. Empirical quantitative and qualitative studies and national and international guidelines these treatments are reviewed.

EXPERT OPINION

: The field awaits the results of two ongoing large comparative effectiveness trials of ECT and IV ketamine for TRD, which should help guide clinicians and patients as to the relative risk and benefit of these interventions. Over the next five years we anticipate further innovations in neuromodulation and in drug development which broadly aim to develop more tolerable versions of ECT and ketamine, respectively.

Selective serotonin reuptake inhibitors in the treatment of depression, anxiety, and post-traumatic stress disorder in substance use disorders: a Bayesian meta-analysis

PURPOSE

Examine SSRIs' efficacy in treating depression, anxiety, PTSD, and substance use in individuals with addiction.

METHODS

From their inception until August 6, 2021, we searched Google Scholar, PubMed, Scopus, OVID MEDLINE, and Academic Search Complete. We included randomized controlled trials (RCTs) and omitted open-label studies. Bayesian analysis was performed. Bayes factor (BF) established efficacy and tau (τ) statistical heterogeneity. The RoB2 method assessed potential biases. Subgroup analysis was carried out to determine SSRI performance. Treatment duration, SSRI dosage, and attrition rate were all examined in meta-regression.

RESULTS

We investigated 64 RCTs with 6128 participants. SSRIs reduced depressive symptoms in opioid, alcohol, cocaine, cannabis, and nicotine use disorders (d = 0.353, BF > 99); social anxiety symptoms in alcohol use disorder (d = 0.875, BF > 99); and generalized anxiety symptoms in opioid, alcohol, cocaine, marijuana, and nicotine use disorders (d = 0.346, BF = 4.236). Evidence for PTSD was inconclusive. SSRIs facilitated abstinence for opioid, alcohol, cocaine, cannabis, and nicotine use (d = 0.325, BF > 99); reduced craving for alcohol, cocaine, and nicotine use (d = 0.533, BF = 24.129); and reduced alcohol use (d = 0.452, BF > 99) and cocaine use (d = 0.255, BF = 3.87). Fluoxetine showed the highest antidepressant effect. There was no effect of attrition rate, SSRI dosage, or treatment length on SSRI's efficacy.

CONCLUSIONS

Results support the use of SSRIs to treat substance use, depression, and anxiety in individuals with addiction.

PROTOCOL REGISTRATION

PROSPERO registration number: CRD42020164944.

Persistence of antidepressant use among refugee youth with common mental disorder

BACKGROUND

The objective of this study was to investigate whether persistence of antidepressant use differs between refugee youth and Swedish-born youth after a diagnosis of a common mental disorder (CMD), and if clinical and sociodemographic factors are associated with antidepressant discontinuation.

METHODS

Youth aged 16-25 years, with an incident diagnosis of CMD (depression, post-traumatic stress disorder (PTSD), anxiety disorders) accessing specialized healthcare in Sweden 2006-2016 were included. New users were identified with a one-year washout period. Refugees (N=1575) were compared with Swedish-born youth (N=2319). Cox regression models [reported as adjusted Hazard Ratios (HRs) with 95% confidence intervals (CIs)] were used to investigate factors associated with discontinuation of antidepressant use.

RESULTS

Among youth (mean age 20.9 years, SD 2.7, 50% females), the median duration of antidepressant use differed considerably between refugee (101 days, IQR 31-243) and Swedish-born youth (252 days, IQR 101-558). Refugees were more likely to discontinue treatment (HR 1.61, 95% CI 1.47-1.77). Factors associated with an increased risk for discontinuation in refugees included ≤5 years duration of formal residency (HR 1.28, 95% CI 1.12-1.45), antidepressant type, and dispensing lag (time from prescription to dispensing) of >7 days (1.43, 1.25-1.64), whereas PTSD (0.78, 0.64-0.97) and anxiolytic use (0.79, 0.64-0.96) were associated with a lower discontinuation risk.

LIMITATIONS

Only persons treated in specialized healthcare could be included.

CONCLUSION

The relatively short treatment durations among refugee youth suggest that antidepressant treatment may not be optimal in CMD, and better monitoring of treatment as well as transcultural education of healthcare personnel are warranted.

Down and High: Reflections Regarding Depression and Cannabis

In light of the recent changes in the legal status of cannabis in Canada, the understanding of the potential impact of the use of cannabis by individuals suffering from depression is increasingly considered as being important. It is fundamental that we look into the existing literature to examine the influence of cannabis on psychiatric conditions, including mood disorders. In this article, we will explore the relationship that exists between depression and cannabis. We will examine the impact of cannabis on the onset and course of depression, and its treatment. We have undertaken a wide-ranging review of the literature in order to address these questions. The evidence from longitudinal studies suggest that there is a bidirectional relationship between cannabis use and depression, such that cannabis use increases the risk for depression and vice-versa. This risk is possibly higher in heavy users having initiated their consumption in early adolescence. Clinical evidence also suggests that cannabis use is associated with a worse prognosis in individuals with major depressive disorder. The link with suicide remains controversial. Moreover, there is insufficient data to determine the impact of cannabis use on cognition in individuals with major depression disorder. Preliminary evidence suggesting that the endogenous cannabinoid system is involved in the pathophysiology of depression. This will need to be confirmed in future positron emission tomography studies. Randomized controlled trials are needed to investigate the potential efficacy of motivational interviewing and/or cognitive behavioral therapy for the treatment of cannabis use disorder in individuals with major depressive major disorder. Finally, although there is preclinical evidence suggesting that cannabidiol has antidepressant properties, randomized controlled trials will need to properly investigate this possibility in humans.

The Developmental Origins of Opioid Use Disorder and Its Comorbidities

Opioid use disorder (OUD) rarely presents as a unitary psychiatric condition, and the comorbid symptoms likely depend upon the diverse risk factors and mechanisms by which OUD can arise. These factors are heterogeneous and include genetic predisposition, exposure to prescription opioids, and environmental risks. Crucially, one key environmental risk factor for OUD is early life adversity (ELA). OUD and other substance use disorders are widely considered to derive in part from abnormal reward circuit function, which is likely also implicated in comorbid mental illnesses such as depression, bipolar disorder, and schizophrenia. ELA may disrupt reward circuit development and function in a manner predisposing to these disorders. Here, we describe new findings addressing the effects of ELA on reward circuitry that lead to OUD and comorbid disorders, potentially via shared neural mechanisms. We discuss some of these OUD-related problems in both humans and animals. We also highlight the increasingly apparent, crucial contribution of biological sex in mediating the range of ELA-induced disruptions of reward circuitry which may confer risk for the development of OUD and comorbid neuropsychiatric disorders.

Depression and substance use disorders: Clinical comorbidity and shared neurobiology

Mood disorders, including major depressive disorder (MDD), are the most prevalent psychiatric illnesses, and pose an incredible burden to society, both in terms of disability and in terms of costs associated with medical care and lost work time. MDD has extremely high rates of comorbidity with substance use disorders (SUD) as many of the same neurobiological circuits and molecular mechanisms regulate the reward pathways disrupted in both conditions. MDD may induce SUDs, SUD may contribute to MDD development, or underlying vulnerabilities and common life experience may confer risk to developing both conditions. In this chapter we explore theories of MDD and SUD comorbidity, the neurobiological underpinnings of depression, overlapping cellular and molecular pathways for both conditions, and current treatment approaches for these comorbid conditions.

Treatment of Depression With Alcohol and Substance Dependence: A Systematic Review

Although alcohol and/or substance use disorders have been significantly associated with depression, data on the treatment outcomes of depression in this patient population are still scarce, especially among the higher risk of resistance to treatment. This study examines the management outcomes of depression in patients with alcohol and substance dependence during the last decade by searching the medical literature. The literature was searched through Medline, PsycInfo, Embase, and Ovid database from 2010 to 2020. Searching terms included were a combination of ‘’treatment’’ AND ‘’Depression’’ AND ‘’alcohol’’ OR “substance abuse". A total of 617 articles were retrieved. After this, original articles investigating depression treatment outcomes in patients with alcohol or substance use disorders or both were selected. Following the exclusion of review studies and including only original research studies, 23 articles appeared. We selected eight articles as eligible, covering a total of 132,373 patients with depression and either alcohol dependence or substance use disorder. Anti-depressants (mainly selective serotonin reuptake inhibitors) combined with psychotherapy and alcohol or substance abuse treatment represent the best treatment modality for depression in this clinical setting. In conclusion, patients with alcohol or substance dependence usually suffer from treatment-resistant depression. However, the treatment of depressive symptoms would help in substance or alcohol abstinence and reduce recurrent substance abuse.

Substance use disorders and risk for treatment resistant depression: a population-based, nested case-control study

BACKGROUND AND AIMS

Treatment-resistant depression (TRD), defined as inadequate treatment response after at least two adequate treatment trials, is common among patients initiating antidepressant treatment. Current or previous substance use disorders (SUD) are common among patients with depression and often lead to worse treatment outcomes. However, in clinical studies, SUD have not been found to increase the risk for TRD. The aim of this study was to investigate the association between SUD and TRD.

DESIGN

Nested case-control study.

SETTING

Nation-wide governmental health-care registers in Sweden.

CASES AND CONTROLS

Data on prescribed drugs and diagnoses from specialized health care were used to establish a prospectively followed cohort of antidepressant initiators with depression (n = 121 669) from 2006 to 2014. Of these, 15 631 patients (13%) were defined as TRD cases, with at least three treatment trials within a single depressive episode. Each case with TRD was matched on socio-demographic data with five controls with depression.

MEASUREMENTS

Crude and adjusted odds ratios (aOR) with 95% confidence intervals (CI) estimated the association between TRD and SUD diagnosis and/or treatment in five different time intervals until the time for fulfillment of TRD definition for the case. The analysis was adjusted for clinical and socio-demographic covariates.

FINDINGS

Having any SUD during, or ≤ 180 days before start of, antidepressant treatment was associated with almost double the risk for TRD [≤ 180 days before: adjusted OR (aOR) = 1.86, CI = 1.70-2.05]. Increased risks for TRD were found ≤ 180 days before treatment start for the subcategories of sedative use (aOR = 2.37; 1.88-2.99), opioids (aOR = 2.02; 1.48-2.75), alcohol (aOR = 1.77; CI = 1.59-1.98) and combined substance use (aOR = 2.31; 1.87-2.99).

CONCLUSIONS

Recent or current substance use disorders is positively associated with treatment resistance among patients initiating treatment for depression.