Cost-effectiveness of Electroconvulsive Therapy vs Pharmacotherapy/Psychotherapy for Treatment-Resistant Depression in the United States

Electroconvulsive therapy and cognitive performance from the Global ECT MRI Research Collaboration

The Global ECT MRI Research Collaboration (GEMRIC) has collected clinical and neuroimaging data of patients treated with electroconvulsive therapy (ECT) from around the world. Results to date have focused on neuroimaging correlates of antidepressant response. GEMRIC sites have also collected longitudinal cognitive data. Here, we summarize the existing GEMRIC cognitive data and provide recommendations for prospective data collection for future ECT-imaging investigations. We describe the criteria for selection of cognitive measures for mega-analyses: Trail Making Test Parts A (TMT-A) and B (TMT-B), verbal fluency category (VFC), verbal fluency letter (VFL), and percent retention from verbal learning and memory tests. We performed longitudinal data analysis focused on the pre-/post-ECT assessments with healthy comparison (HC) subjects at similar timepoints and assessed associations between demographic and ECT parameters with cognitive changes. The study found an interaction between electrode placement and treatment number for VFC (F(1,107) = 4.14, p = 0.04). Higher treatment was associated with decreased VFC performance with right unilateral electrode placement. Percent retention showed a main effect for group, with post-hoc analysis indicating decreased cognitive performance among the HC group. However, there were no significant effects of group or group interactions observed for TMT-A, TMT-B, or VFL. We assessed the current GEMRIC cognitive data and acknowledge the limitations associated with this data set including the limited number of neuropsychological domains assessed. Aside from the VFC and treatment number relationship, we did not observe ECT-mediated neurocognitive effects in this investigation. We provide prospective cognitive recommendations for future ECT-imaging investigations focused on strong psychometrics and minimal burden to subjects.

Evaluating cognitive assessment tools for patients with major depressive disorder receiving electroconvulsive therapy: A systematic review and meta-analysis

BACKGROUND

Major Depressive Disorder (MDD) affects 350 million people worldwide. Electroconvulsive therapy (ECT) is effective, yet research on cognitive assessments post-treatment is lacking. This study systematically reviews and meta-analyzes the effectiveness of cognitive assessment tools post-ECT to optimize MDD treatment.

METHODS

Following PRISMA guidelines, this review was pre-registered on PROSPERO (CRD42023470318). Searches were conducted across nine databases up to November 12, 2023. Quality assessment for Randomized Controlled Trials (RCTs) and quasi-experimental studies was performed using the Cochrane risk of bias tool, JBI critical appraisal tools, and the Jadad scale. Meta-analyses for short-term and long-term cognitive function involved 24 and 18 tools, respectively.

FINDINGS

Thirty studies (20 RCTs and 10 quasi-experimental) involving 2462 MDD patients were evaluated. Results indicated no significant differences in overall short-term and long-term cognitive functions post-ECT. Short-term analysis showed impairments in memory, learning, and verbal abilities but improvements in attention and processing speed. Long-term analysis revealed enhancements in memory, learning, verbal, and visuospatial abilities compared to baseline. Based on GRADE classification, we recommend 11 tools for assessing acute cognitive function and 10 tools for chronic cognitive impairment. These tools demonstrated high reliability and validity, supporting their clinical use.

INTERPRETATION

These findings provide critical evidence for future ECT clinical guidelines in managing MDD. The recommended tools can aid clinicians in adjusting ECT regimens, identifying early cognitive changes, and improving therapeutic outcomes in MDD treatment.

Clinical Outcomes of Continuation and Maintenance Electroconvulsive Therapy

Importance

Large-scale evidence for the efficacy of continuation and maintenance electroconvulsive therapy (c/mECT) is lacking.

Objective

To provide an exhaustive and naturalistic insight into the real-world outcomes and the cost-effectiveness of c/mECT in a large dataset.

Design, Setting, and Participants

This cohort study included all patients in the Danish National Patient Registry who initiated treatment with ECT from 2003 through 2022. The data were analyzed from October 2023 to February 2024.

Exposures

ECT. An algorithm to identify c/mECTs in the dataset was developed: (>3 treatments with ≥7 and <90 days between adjacent treatments, occurring within a time frame of 180 days [cECT] or more [mECT] after an acute [aECT] series).

Main Outcomes and Measures

The association of c/mECT with subsequent 6- to 12-month risk of hospitalization or suicidal behavior using Cox proportional hazard regression with multiple adjustments and aECT only as a reference, propensity score matching, and self-controlled case series analysis using a Poisson regression model. A cost-effectiveness analysis based on hospitalization and ECT expenses was made.

Results

A total of 19 944 individuals were treated with ECT (12 157 women [61%], 7787 men [39%]; median [IQR] age, 55 [41-70] years). Of these, 1533 individuals (7.7%) received c/mECT at any time point (1017 [5.1%] cECT only and 516 [2.6%] mECT). Compared with patients receiving aECT only, c/mECT patients more frequently experienced schizophrenia (odds ratio [OR], 2.14; 95% CI, 1.86-2.46) and schizoaffective disorder (OR, 2.42; 95% CI, 1.90-3.09) and less frequently unipolar depression (OR, 0.56; 95% CI, 0.51-0.62). In all models, c/mECT was associated with a lower rate of hospitalization after finishing aECT (eg, 6-month adjusted hazard ratio, 0.68; 95% CI, 0.60-0.78 [Cox regression]; 6-month incidence rate ratio, 0.51; 95% CI, 0.41-0.62 [Poisson regression]). There was no significant difference in the risk of suicidal behavior. Compared with the periods before the end of aECT, c/mECT was associated with a substantial reduction in total treatment costs.

Conclusions and Relevance

In a nationwide and naturalistic setting, c/mECT after aECT was infrequently used but associated with a lower risk of readmission than aECT alone. The totality of the evidence indicates that c/mECT should be considered more often to prevent relapse after successful aECT in patients whose condition does not respond sufficiently to other interventions.

Long-term follow-up on patient attitudes towards renewed ECT: A register-based cohort study

Electroconvulsive therapy (ECT) is a safe and effective treatment for major depressive disorder (MDD). After receiving ECT for MDD there is a large risk of relapse within the first year. Patient attitudes towards renewed treatment could impact their decisions regarding future therapy. We conducted a nationwide cohort study, using data from Swedish registers. Patients with MDD who received ECT were followed up to six months after the initial ECT-series. We investigated if certain patient and treatment characteristics during the initial treatment were correlated to their attitude towards renewed ECT at the six-month follow-up. Logistic regression models were used to calculate adjusted odds ratios for predictors. The Bonferroni method was used to adjust significance levels for multiple testing. The study included 1917 patients. 51.1% of patients were positive, 27.6% were undecided and 21.3% were negative towards renewed treatment. Patients with response to treatment were less likely to have a negative attitude towards renewed ECT (odds ratio 0.32, 95% CI 0.25-0.41, P < 0.001). Moreover, patients with experience of ECT prior to the index series were less likely to have a negative attitude towards renewed ECT (odds ratio 0.44, 95% CI 0.34-0.58, P < 0.001). In order to minimize the risk of negative attitudes towards renewed ECT for MDD, treatment should primarily be reserved for patients that are likely to respond to ECT.

Efficacy and safety of eight enhanced therapies for treatment-resistant depression: A systematic review and network meta-analysis of RCTs

BACKGROUND

Treatment-Resistant Depression (TRD) challenges psychiatric treatment, with existing guidelines covering only a subset of augmentation strategies.

METHODS

A network meta-analysis following PRISMA guidelines examined the efficacy and safety of TRD treatments, analyzing 72 randomized controlled trials from eight databases, assessing response and remission rates, tolerability, and safety through the Cochrane Risk of Bias Tool and CINeMA framework.

FINDINGS

Including 12,105 participants, the analysis highlighted ECT, Ketamine, Esketamine, and Psilocybin as superior first-line treatments due to their optimal balance between effectiveness and tolerability. Brexpiprazole and Quetiapine showed no significant efficacy over placebo in response rates, while Esketamine and Psilocybin exhibited lower tolerability.

INTERPRETATION

The results advocate for ECT, Ketamine, Esketamine, and Psilocybin as preferred treatments for TRD, guiding clinical practice with evidence-based recommendations for enhancing treatment outcomes. This study underscores the importance of considering both efficacy and safety in selecting augmentation strategies for TRD.

Neurobiological mechanisms of electroconvulsive therapy for depression: Insights into hippocampal volumetric increases from clinical and preclinical studies

Depression is a highly prevalent and disabling psychiatric disorder. The hippocampus, which plays a central role in mood regulation and memory, has received considerable attention in depression research. Electroconvulsive therapy (ECT) is the most effective treatment for severe pharmacotherapy-resistant depression. Although the working mechanism of ECT remains unclear, recent magnetic resonance imaging (MRI) studies have consistently reported increased hippocampal volumes following ECT. The clinical implications of these volumetric increases and the specific cellular and molecular significance are not yet fully understood. This narrative review brings together evidence from animal models and human studies to provide a detailed examination of hippocampal volumetric increases following ECT. In particular, our preclinical MRI research using a mouse model is consistent with human findings, demonstrating a marked increase in hippocampal volume following ECT. Notable changes were observed in the ventral hippocampal CA1 region, including dendritic growth and increased synaptic density at excitatory synapses. Interestingly, inhibition of neurogenesis did not affect the ECT-related hippocampal volumetric increases detected on MRI. However, it remains unclear whether these histological and volumetric changes would be correlated with the clinical effect of ECT. Hence, future research on the relationships between cellular changes, ECT-related brain volumetric changes, and antidepressant effect could benefit from a bidirectional translational approach that integrates human and animal models. Such translational research may provide important insights into the mechanisms and potential biomarkers associated with ECT-induced hippocampal volumetric changes, thereby advancing our understanding of ECT for the treatment of depression.

Gender Representation in the ECT Workforce in the United States From 2013 to 2021: A Medicare Physician Data Analysis

OBJECTIVES

Electroconvulsive therapy (ECT) is an effective treatment for a range of psychiatric disorders. Although much research has examined what patients receive ECT, there is less research describing those physicians who provide ECT services. This study examines the ECT workforce in the United States by analyzing publicly available Medicare billing records.

METHODS

Data regarding the providers performing ECT were accessed from the Medicare Physician and Other Supplier Data for the years 2013 through 2021 based on those physicians who billed the ECT procedural code 90870.

RESULTS

During the study period, 1402 physicians performed ECT in at least 1 calendar year on a minimum of 11 Medicare beneficiaries, representing 3.9% of the 36,116 psychiatrists who billed Medicare during this period. Female physicians made up 39% of psychiatrists overall who bill Medicare, but 23% of psychiatrists billing for ECT. Fifty percent of billed ECT treatments were performed by 12% of ECT doctors; among these high-volume ECT providers, 16% were female.

CONCLUSIONS

Only a small subset of psychiatrists who bill Medicare provide ECT services, and female physicians are under-represented in the ECT workforce and among high-volume ECT providers. Improving workforce equity and with it access to ECT requires further study of psychiatric training and practice environment that may impose barriers on female participation as ECT providers.

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

Efforts to develop an individualized treatment rule (ITR) to optimize major depressive disorder (MDD) treatment with antidepressant medication (ADM), psychotherapy, or combined ADM-psychotherapy have been hampered by small samples, small predictor sets, and suboptimal analysis methods. Analyses of large administrative databases designed to approximate experiments followed iteratively by pragmatic trials hold promise for resolving these problems. The current report presents a proof-of-concept study using electronic health records (EHR) of n = 43,470 outpatients beginning MDD treatment in Veterans Health Administration Primary Care Mental Health Integration (PC-MHI) clinics, which offer access not only to ADMs but also psychotherapy and combined ADM-psychotherapy. EHR and geospatial databases were used to generate an extensive baseline predictor set (5,865 variables). The outcome was a composite measure of at least one serious negative event (suicide attempt, psychiatric emergency department visit, psychiatric hospitalization, suicide death) over the next 12 months. Best-practices methods were used to adjust for nonrandom treatment assignment and to estimate a preliminary ITR in a 70% training sample and to evaluate the ITR in the 30% test sample. Statistically significant aggregate variation was found in overall probability of the outcome related to baseline predictors (AU-ROC = 0.68, S.E. = 0.01), with test sample outcome prevalence of 32.6% among the 5% of patients having highest predicted risk compared to 7.1% in the remainder of the test sample. The ITR found that psychotherapy-only was the optimal treatment for 56.0% of patients (roughly 20% lower risk of the outcome than if receiving one of the other treatments) and that treatment type was unrelated to outcome risk among other patients. Change in aggregate treatment costs of implementing this ITR would be negligible, as 16.1% fewer patients would be prescribed ADMs and 2.9% more would receive psychotherapy. A pragmatic trial would be needed to confirm the accuracy of the ITR.

Cost-utility analysis of adjunct repetitive transcranial magnetic stimulation for treatment resistant bipolar depression

OBJECTIVE

To evaluate the cost-effectiveness of repetitive transcranial magnetic stimulation (rTMS) as an adjunct to standard care from an Australian health sector perspective, compared to standard care alone for adults with treatment-resistant bipolar depression (TRBD).

METHODS

An economic model was developed to estimate the cost per disability-adjusted life-year (DALY) averted and quality-adjusted life-year (QALY) gained for rTMS added to standard care compared to standard care alone, for adults with TRBD. The model simulated the time in three health states (mania, depression, residual) over one year. Response to rTMS was sourced from a meta-analysis, converted to a relative risk and used to modify the time in the depressed state. Uncertainty and sensitivity tested the robustness of results.

RESULTS

Base-case incremental cost-effectiveness ratios (ICERs) were $72,299 per DALY averted (95 % Uncertainty Interval (UI): $60,915 to $86,668) and $46,623 per QALY gained (95 % UI: $39,676 - $55,161). At a willingness to pay (WTP) threshold of $96,000 per DALY averted, the base-case had a 100 % probability of being marginally cost-effective. At a WTP threshold of $64,000 per QALY gained, the base-case had a 100 % probability of being cost-effective. Sensitivity analyses decreasing the number of sessions provided, increasing the disability weight or the time spent in the depression state for standard care improved the ICERs for rTMS.

CONCLUSIONS

Dependent on the outcome measure utilised and assumptions, rTMS would be considered a very cost-effective or marginally cost-effective adjunct to standard care for TRBD compared to standard care alone.

Patient-Informed Value Elements in Cost-Effectiveness Analyses of Major Depressive Disorder Treatment: A Literature Review and Synthesis

OBJECTIVES

Prior work identified 6 key value elements (attributes of treatment and desired outcomes) for individuals living with major depressive disorder (MDD) in managing their condition: mode of treatment, time to treatment helpfulness, MDD relief, quality of work, interaction with others, and affordability. The objective of our study was to identify whether previous cost-effectiveness analyses (CEAs) for MDD treatment addressed any of these value elements. A secondary objective was to identify whether any study engaged patients, family members, and caregivers in the model development process.

METHODS

We conducted a systematic literature review to identify published model-based CEAs. We compared the elements of the published studies with the MDD patient value elements elicited in prior work to identify gaps and areas for future research.

RESULTS

Of 86 published CEAs, we found that 7 included patient out-of-pocket costs, and 32 included measures of productivity, which were both priorities for individuals with MDD. We found that only 2 studies elicited measures from patients for their model, and 2 studies engaged patients in the modeling process.

CONCLUSIONS

Published CEA models for MDD treatment do not regularly include value elements that are a priority for this patient population nor do they include patients in their modeling process. Flexible models that can accommodate elements consistent with patient experience are needed, and a multistakeholder engagement approach would help accomplish this.

Cost-effectiveness and threshold analysis of deep brain stimulation vs. treatment-as-usual for treatment-resistant depression

Treatment-resistant depression (TRD) affects approximately 2.8 million people in the U.S. with estimated annual healthcare costs of $43.8 billion. Deep brain stimulation (DBS) is currently an investigational intervention for TRD. We used a decision-analytic model to compare cost-effectiveness of DBS to treatment-as-usual (TAU) for TRD. Because this therapy is not FDA approved or in common use, our goal was to establish an effectiveness threshold that trials would need to demonstrate for this therapy to be cost-effective. Remission and complication rates were determined from review of relevant studies. We used published utility scores to reflect quality of life after treatment. Medicare reimbursement rates and health economics data were used to approximate costs. We performed Monte Carlo (MC) simulations and probabilistic sensitivity analyses to estimate incremental cost-effectiveness ratios (ICER; USD/quality-adjusted life year [QALY]) at a 5-year time horizon. Cost-effectiveness was defined using willingness-to-pay (WTP) thresholds of $100,000/QALY and $50,000/QALY for moderate and definitive cost-effectiveness, respectively. We included 274 patients across 16 studies from 2009-2021 who underwent DBS for TRD and had ≥12 months follow-up in our model inputs. From a healthcare sector perspective, DBS using non-rechargeable devices (DBS-pc) would require 55% and 85% remission, while DBS using rechargeable devices (DBS-rc) would require 11% and 19% remission for moderate and definitive cost-effectiveness, respectively. From a societal perspective, DBS-pc would require 35% and 46% remission, while DBS-rc would require 8% and 10% remission for moderate and definitive cost-effectiveness, respectively. DBS-pc will unlikely be cost-effective at any time horizon without transformative improvements in battery longevity. If remission rates ≥8-19% are achieved, DBS-rc will likely be more cost-effective than TAU for TRD, with further increasing cost-effectiveness beyond 5 years.

Physiotherapy for patients with depression: Recent research progress

Depression, a common mental illness, seriously affects the health of individuals and has deleterious effects on society. The prevention and treatment of depression has drawn the attention of many researchers and has become an important social issue. The treatment strategies for depression include drugs, psychotherapy, and physiotherapy. Drug therapy is ineffective in some patients and psychotherapy has treatment limitations. As a reliable adjuvant therapy, physiotherapy compensates for the shortcomings of drug and psychotherapy and effectively reduces the disease recurrence rate. Physiotherapy is more scientific and rigorous, its methods are diverse, and to a certain extent, provides more choices for the treatment of depression. Physiotherapy can relieve symptoms in many ways, such as by improving the levels of neurobiochemical molecules, inhibiting the inflammatory response, regulating the neuroendocrine system, and increasing neuroplasticity. Physiotherapy has biological effects similar to those of antidepressants and may produce a superimposed impact when combined with other treatments. This article summarizes the findings on the use of physiotherapy to treat patients with depression over the past five years. It also discusses several methods of physiotherapy for treating depression from the aspects of clinical effect, mechanism of action, and disadvantages, thereby serving as a reference for the in-depth development of physiotherapy research.

The Economics of Treatment for Depression

The global prevalence of depression has risen over the past three decades across all socioeconomic groups and geographic regions, with a particularly rapid increase in prevalence among adolescents (aged 12-17 years) in the United States. Depression imposes large health, economic, and societal costs, including reduced life span and quality of life, medical costs, and reduced educational attainment and workplace productivity. A wide range of treatment modalities for depression are available, but socioeconomic disparities in treatment access are driven by treatment costs, lack of culturally tailored options, stigma, and provider shortages, among other barriers. This review highlights the need for comparative research to better understand treatments' relative efficacy, cost-effectiveness, scalability, and potential heterogeneity in efficacy across socioeconomic groups and country and cultural contexts. To address the growing burden of depression, mental health policy could consider reducing restrictions on the supply of providers, implementing digital interventions, reducing stigma, and promoting healthy lifestyles.

A perspective on translating genomic discoveries into targets for brain-machine interface and deep brain stimulation devices

Mental illnesses have a huge impact on individuals, families, and society, so there is a growing need for more efficient treatments. In this context, brain-computer interface (BCI) technology has the potential to revolutionize the options for neuropsychiatric therapies. However, the development of BCI-based therapies faces enormous challenges, such as power dissipation constraints, lack of credible feedback mechanisms, uncertainty of which brain areas and frequencies to target, and even which patients to treat. Some of these setbacks are due to the large gap in our understanding of brain function. In recent years, large-scale genomic analyses uncovered an unprecedented amount of information regarding the biology of the altered brain function observed across the psychopathology spectrum. We believe findings from genetic studies can be useful to refine BCI technology to develop novel treatment options for mental illnesses. Here, we assess the latest advancements in both fields, the possibilities that can be generated from their intersection, and the challenges that these research areas will need to address to ensure that translational efforts can lead to effective and reliable interventions. Specifically, starting from highlighting the overlap between mechanisms uncovered by large-scale genetic studies and the current targets of deep brain stimulation treatments, we describe the steps that could help to translate genomic discoveries into BCI targets. Because these two research areas have not been previously presented together, the present article can provide a novel perspective for scientists with different research backgrounds. This article is categorized under: Neurological Diseases > Genetics/Genomics/Epigenetics Neurological Diseases > Biomedical Engineering.

Electroconvulsive therapy enhances degree centrality in the orbitofrontal cortex in depressive rumination

Depressive rumination has been implicated in the onset, duration, and treatment response of refractory depression. Electroconvulsive therapy (ECT) is remarkably effective in treatment of refractory depression by modulating the functional coordination between brain hubs. However, the mechanisms by which ECT regulates depressive rumination remain unsolved. We investigated degree centrality (DC) in 32 pre- and post-ECT depression patients as well as 38 matched healthy controls. An identified brain region was defined as the seed to calculate functional connectivity (FC) in whole brains. Rumination was measured by the Ruminative Response Scale (RRS) and its relationships with identified DC and FC alterations were examined. We found a significant negative correlation between DC of the right orbitofrontal cortex (rOFC) before ECT and brooding level before and after treatment. Moreover, rOFC DC increased after ECT. DC of the left superior temporal gyrus (lSTG) was positively correlated with reflective level before intervention, while lSTG DC decreased after ECT. Patients showed elevated FC in the rOFC with default mode network. No significant association was found between decreased RRS scores and changes in DC and FC. Our findings suggest that functional changes in rOFC and lSTG may be associated with the beneficial effects of ECT on depressive rumination.

Cost-effectiveness analysis comparing repetitive transcranial magnetic stimulation therapy with antidepressant treatment in patients with treatment-resistant depression in Japan

Repetitive transcranial magnetic stimulation (rTMS) for patients with treatment-resistant depression (TRD) became covered by the National Health Insurance (NHI) in Japan since 2019. Although the evidence of rTMS for TRD is well established, the cost-effectiveness of rTMS versus antidepressants has not been thoroughly analyzed in Japan. Thus, we aimed to evaluate the cost-effectiveness of rTMS for TRD under the NHI system using a microsimulation model to compare the direct costs and quality-adjusted life years (QALYs). Model inputs of clinical parameters and the utility were derived from published literature. Cost parameters were estimated from the Japanese Claim Database. The robustness of the analyses was evaluated with sensitivity analysis and scenario analysis. The analysis estimated that rTMS increased effectiveness by 0.101QALYs and total cost by ¥94,370 ($689) compared with antidepressant medications. As a result, the incremental cost-effectiveness ratio (ICER) of rTMS was estimated to be ¥935,984 ($6,832)/QALY. In the sensitivity and scenario analyses, ICER did not exceed ¥5 million ($36,496)/QALY as the reference value of the Japanese public cost-effectiveness evaluation system. rTMS therapy for TRD can be a cost-effective treatment strategy compared to antidepressant medication under the NHI system in Japan.

What Can We Tell About the Effect of Electroconvulsive Therapy on the Human Hippocampus?

Electroconvulsive therapy (ECT) is the most effective antidepressant treatment, although its mechanisms of action remain unclear. Since 2010, several structural magnetic resonance imaging studies based on a neuroplastic hypothesis have consistently reported increases in the hippocampal volume following ECT. Moreover, volume increases in the human dentate gyrus, where neurogenesis occurs, have also been reported. These results are in line with the preclinical findings of ECT-induced neuroplastic changes, including neurogenesis, gliogenesis, synaptogenesis, and angiogenesis, in rodents and nonhuman primates. Despite this robust evidence of an effect of ECT on hippocampal plasticity, the clinical relevance of these human hippocampal changes continues to be questioned. This narrative review summarizes recent findings regarding ECT-induced hippocampal volume changes. Furthermore, this review also discusses methodological considerations and future directions in this field.

The association between outpatient continuation/maintenance electroconvulsive therapy, readmission risk and total direct cost in patients with depressive, bipolar and psychotic disorders: A naturalistic retrospective cohort study

BACKGROUND

The transdiagnostic effect of continuation/maintenance ECT (CM-ECT) across mood and psychotic disorders on hospital psychiatric readmission risk and total direct cost remains unclear.

METHODS

A naturalistic retrospective analysis of 540 patients who received inpatient acute ECT treatment from May 2017 to Mar 2021 in a tertiary psychiatric institution. Patients were assessed with validated clinical rating scales pre-ECT and after the first 6 treatments of a course of inpatient acute ECT. After discharge, patients who continued with CM-ECT were compared with those not receiving CM-ECT using survival analysis of hospital readmission. Total direct cost (hospitalisation and ECT treatment cost) was also analysed. All patients were subjected to a standard post-discharge monitoring program with case managers checking in on the patients regularly after discharge and ensuring they were given an outpatient appointment within a month of discharge.

RESULTS

Both cohorts had significant improvement in their rating scales scores after their first six 6 sessions of inpatient acute ECT. Patients who continued with CM-ECT after completing their inpatient acute ECT (mean number of acute ECT: N = 9.9, SD 5.3), had a significantly lower risk of readmission [adjusted hazard ratio of 0.68 (95 % CI: 0.49-0.94, p = 0.020)]. Patients who received CM-ECT also had a significantly lower average total direct cost compared to those who did not (SGD$35,259 vs SGD$61,337). For patients with mood disorders, the CM-ECT group had a significantly lower inpatient ECT cost, hospitalisation cost and total direct costs compared to those without CM-ECT.

LIMITATIONS

The naturalistic study cannot prove a causal relationship between CM-ECT and reduced readmission and lower healthcare costs.

CONCLUSION

CM-ECT is associated with lower readmission risks and lower total direct healthcare costs for the treatment of mood and psychotic disorders, especially for mood disorders.

The clinical & economic burden of treatment-resistant depression in the Gulf-Cooperation Council: The Kingdom of Saudi Arabia, Kuwait and the United Arab Emirates

OBJECTIVE

The current analysis assessed the economic and clinical burden of treatment-Resistant Depression (TRD) imposed on the Kingdom of Saudi Arabia (KSA), Kuwait and United Arab Emirates (UAE) from the societal perspective.

METHODS

A Microsoft Excel® based Markov model was developed to estimate the overall burden of disease imposed by TRD across KSA, Kuwait and UAE. Data for the models' adaptation were retrieved from literature and validated by country-specific key opinion leaders. The cycle length and time horizon used in the model were 4 weeks and 1 year, respectively.

RESULTS

The study results estimated that at the end of 1-year time horizon, overall burden imposed by TRD was 3994, 982 and 670 million USD in KSA, Kuwait, and UAE, respectively. This can be attributed to the high cost incurred due to non-responsive health state (ranging from 44% to 47%). The productivity loss was either the greatest or second greatest component of TRD's burden in the countries of interest (ranging from 32% to 43%).

CONCLUSIONS

TRD represents a large clinical and economic burden on both individual patients and society. Hence, noval and innovative treatments are especially required for the management of TRD patients.

Ketamine versus ECT for Nonpsychotic Treatment-Resistant Major Depression

BACKGROUND

Electroconvulsive therapy (ECT) and subanesthetic intravenous ketamine are both currently used for treatment-resistant major depression, but the comparative effectiveness of the two treatments remains uncertain.

METHODS

We conducted an open-label, randomized, noninferiority trial involving patients referred to ECT clinics for treatment-resistant major depression. Patients with treatment-resistant major depression without psychosis were recruited and assigned in a 1:1 ratio to receive ketamine or ECT. During an initial 3-week treatment phase, patients received either ECT three times per week or ketamine (0.5 mg per kilogram of body weight over 40 minutes) twice per week. The primary outcome was a response to treatment (i.e., a decrease of ≥50% from baseline in the score on the 16-item Quick Inventory of Depressive Symptomatology-Self-Report; scores range from 0 to 27, with higher scores indicating greater depression). The noninferiority margin was -10 percentage points. Secondary outcomes included scores on memory tests and patient-reported quality of life. After the initial treatment phase, the patients who had a response were followed over a 6-month period.

RESULTS

A total of 403 patients underwent randomization at five clinical sites; 200 patients were assigned to the ketamine group and 203 to the ECT group. After 38 patients had withdrawn before initiation of the assigned treatment, ketamine was administered to 195 patients and ECT to 170 patients. A total of 55.4% of the patients in the ketamine group and 41.2% of those in the ECT group had a response (difference, 14.2 percentage points; 95% confidence interval, 3.9 to 24.2; P<0.001 for the noninferiority of ketamine to ECT). ECT appeared to be associated with a decrease in memory recall after 3 weeks of treatment (mean [±SE] decrease in the T-score for delayed recall on the Hopkins Verbal Learning Test-Revised, -0.9±1.1 in the ketamine group vs. -9.7±1.2 in the ECT group; scores range from -300 to 200, with higher scores indicating better function) with gradual recovery during follow-up. Improvement in patient-reported quality-of-life was similar in the two trial groups. ECT was associated with musculoskeletal adverse effects, whereas ketamine was associated with dissociation.

CONCLUSIONS

Ketamine was noninferior to ECT as therapy for treatment-resistant major depression without psychosis. (Funded by the Patient-Centered Outcomes Research Institute; ELEKT-D ClinicalTrials.gov number, NCT03113968.).

Electroconvulsive Therapy Anesthetic Choice and Clinical Outcomes

OBJECTIVE

Etomidate and methohexital are the 2 commonly used anesthetics for electroconvulsive therapy (ECT) in the United States. The objective of this study was to examine how anesthetic choice between etomidate and methohexital is associated with real-world clinical outcomes.

METHODS

This naturalistic retrospective cohort study examined longitudinal electronic health records for 495 adult patients who received 2 or more ECT treatments from 2010 to 2019 in Kaiser Permanente North California, a large integrated health care system. Study outcomes included 12-month posttreatment depression remission as measured by the 9-item Patient Health Questionnaire, psychiatric and all-cause emergency department visits, and psychiatric and all-cause hospitalizations.

RESULTS

Anesthetic choice was not significantly related to depression severity, emergency department visits, or psychiatric hospitalizations at 12 months after completing ECT. In exploratory analyses, we found that etomidate compared with methohexital was associated with higher rates of patient discomfort adverse effects-postictal agitation, phlebitis, and myoclonus (2.4% vs 0.4%; P < 0.001).

CONCLUSIONS

We present the first large comparison of etomidate and methohexital as anesthetics for ECT and their associations with real-world outcomes. Our study showed no significant difference on depression remission, emergency department visits, or hospitalizations 12-months posttreatment. Thus, clinicians should focus on other patient or treatment characteristics when deciding on anesthetics for ECT. Further investigation is needed to confirm our exploratory findings that etomidate use was correlated with a higher rate of patient discomfort adverse effects relative to methohexital.

Impact of modeled field of view in electroconvulsive therapy current flow simulations

Background

The field of view (FOV) considered in MRI-guided forward models of electroconvulsive therapy (ECT) are, as expected, limited to the MRI volume collected. Therefore, there is variation in model extent considered across simulation efforts. This study examines the impact of FOV on the induced electric field (E-field) due to two common electrode placements: right unilateral (RUL) and bilateral (BL).

Methods

A full-body dataset was obtained and processed for modeling relevant to ECT physics. Multiple extents were derived by truncating from the head down to four levels: upper head (whole-brain), full head, neck, and torso. All relevant stimulation and focality metrics were determined. The differences in the 99th percentile peak of stimulation strength in the brain between each extent to the full-body (reference) model were considered as the relative error (RE). We also determine the FOV beyond which the difference to a full-body model would be negligible.

Results

The 2D and 3D spatial plots revealed anticipated results in line with prior efforts. The RE for BL upper head was ~50% reducing to ~2% for the neck FOV. The RE for RUL upper head was ~5% reducing to subpercentage (0.28%) for the full-head FOV. As shown previously, BL was found to stimulate a larger brain volume-but restricted to the upper head and for amplitude up to ~480 mA. To some extent, RUL stimulated a larger volume. The RUL-induced volume was larger even when considering the neural activation threshold corresponding to brief pulse BL if ECT amplitude was >270 mA. This finding is explained by the BL-induced current loss through the inferior regions as more FOV is considered. Our result is a departure from prior efforts and raises questions about the focality metric as defined and/or inter-individual differences.

Conclusion

Our findings highlight that BL is impacted more than RUL with respect to FOV. It is imperative to collect full-head data at a minimum for any BL simulation and possibly more. Clinical practice resorts to using BL ECT when RUL is unsuccessful. However, the notion that BL is more efficacious on the premise of stimulating more brain volume needs to be revisited.

Overview of treatment-resistant depression

Patients with major depressive disorder (MDD) often exhibit an inadequate treatment response or failure to achieve remission following treatment with antidepressant drugs. Treatment-resistant depression (TRD) is proposed to identify this clinical scenario. Compared to those without TRD, patients with TRD have significantly lower health-related quality of life in mental and physical dimensions, more functional impairment and productivity loss, and higher healthcare costs. TRD imposes a massive burden on the individual, family, and society. However, a lack of consensus on the TRD definition limits the comparison and interpretation of TRD treatment efficacy across trials. Furthermore, because of the various TRD definitions, there is scarce treatment guideline specifically for TRD, in contrast to the rich treatment guidelines for MDD. In this chapter, common issues related to TRD, such as proper definitions of an adequate antidepressant trial and TRD, were carefully reviewed. Prevalence of and clinical outcomes related to TRD were summarized. We also summarized the staging models ever proposed for the diagnosis of TRD. Furthermore, we highlighted variations in the definition regarding the lack of or an inadequate response in treatment guidelines for depression. Up-to-date treatment options for TRD, including pharmacological strategies, psychotherapeutic interventions, neurostimulation techniques, glutamatergic compounds, and even experimental agents were reviewed.

Clinical Improvement in Depression and Cognitive Deficit Following Electroconvulsive Therapy

Electroconvulsive therapy (ECT) is a long-standing treatment choice for disorders such as depression when pharmacological treatments have failed. However, a major drawback of ECT is its cognitive side effects. While numerous studies have investigated the therapeutic effects of ECT and its mechanism, much less research has been conducted regarding the mechanism behind the cognitive side effects of ECT. As both clinical remission and cognitive deficits occur after ECT, it is possible that both may share a common mechanism. This review highlights studies related to ECT as well as those investigating the mechanism of its outcomes. The process underlying these effects may lie within BDNF and NMDA signaling. Edema in the astrocytes may also be responsible for the adverse cognitive effects and is mediated by metabotropic glutamate receptor 5 and the protein Homer1a.

Development of a model to predict combined antidepressant medication and psychotherapy treatment response for depression among veterans

BACKGROUND

Although research shows that more depressed patients respond to combined antidepressants (ADM) and psychotherapy than either alone, many patients do not respond even to combined treatment. A reliable prediction model for this could help treatment decision-making. We attempted to create such a model using machine learning methods among patients in the US Veterans Health Administration (VHA).

METHODS

A 2018-2020 national sample of VHA patients beginning combined depression treatment completed self-report assessments at baseline and 3 months (n = 658). A learning model was developed using baseline self-report, administrative, and geospatial data to predict 3-month treatment response defined by reductions in the Quick Inventory of Depression Symptomatology Self-Report and/or in the Sheehan Disability Scale. The model was developed in a 70 % training sample and tested in the remaining 30 % test sample.

RESULTS

30.0 % of patients responded to treatment. The prediction model had a test sample AUC-ROC of 0.657. A strong gradient was found in probability of treatment response from 52.7 % in the highest predicted quintile to 14.4 % in the lowest predicted quintile. The most important predictors were episode characteristics (symptoms, comorbidities, history), personality/psychological resilience, recent stressors, and treatment characteristics.

LIMITATIONS

Restrictions in sample definition, a low recruitment rate, and reliance on patient self-report rather than clinician assessments to determine treatment response limited the generalizability of results.

CONCLUSIONS

A machine learning model could help depressed patients and providers predict likely response to combined ADM-psychotherapy. Parallel information about potential harms and costs of alternative treatments would be needed, though, to inform optimal treatment selection.

Efficacy of Electroconvulsive Therapy for the Treatment of Movement Disorders: A Literature Review

Electroconvulsive therapy (ECT) is a safe and effective treatment modality for various psychiatric disorders. However, evidence suggests a putative role of ECT in treating movement disorders that are refractory to less invasive modalities. ECT is primarily used in treatment-resistant psychiatric disorders. However, growing evidence exists for its use in movement disorders with and without psychiatric comorbidity.

The primary objective of this systematic review was to examine the efficacy of ECT as a primary treatment modality for movement disorders. Relevant, peer-reviewed publications were retrieved from PubMed, SCOPUS, CINAHL, and PsycINFO. Keywords related to ECT and movement disorders were used as search phrases to identify relevant articles. A total of 90 articles that met the inclusion criteria were included in this review. Core findings were subsequently appraised on the role of ECT in treating movement disorders.

Inclusion and exclusion criteria were developed to guide the search and selection process. Sources that met the inclusion criteria were those published between 2001 and January 2023. Additionally, peer-reviewed journals published in the English language covering the role of ECT in movement disorders were deemed appropriate for inclusion. Sources published before 2001, written in a non-English language, and not from peer-reviewed journals were excluded from this systematic review. The exclusion criteria also entailed eliminating duplicates from the review list.

Most reviewed sources revealed that ECT improved outcomes in symptoms associated with various movement symptoms. However, ECT does not have a long-lasting impact on neuroacanthocytosis symptoms. Additionally, ECT is negatively associated with aggression and agitation, two of the most critical movement symptoms of Alzheimer’s disease.

Evidence affirms the efficacy of ECT in providing symptomatic relief for movement disorders aside from psychiatric comorbidities. This positive association highlights the need for randomized controlled studies to identify movement disorder sub-populations that may respond to ECT.

Right-side frontal-central cortical hyperactivation before the treatment predicts outcomes of antidepressant and electroconvulsive therapy responsivity in major depressive disorder

Major depressive disorder places a great burden on healthcare resources worldwide. Antidepressants are the first-line treatment for major depressive disorder, but if patients don't respond adequately, brain stimulation therapy may be needed as second-line treatment. Digital phenotyping in patients with major depressive disorder will aid in the timely prediction of treatment effectiveness. This study explored electroencephalographic (EEG) signatures that diversify depression treatment responsivity, including antidepressant administration or brain stimulation therapy. Resting-state, pre-treatment EEG sequences from depressive patients who received fluoxetine treatment (n = 55; 26 remitters and 29 poor responders) or electroconvulsive therapy (ECT, n = 58; 36 remitters and 22 nonremitters) were recorded on 19 channels. Twenty-nine EEG segments were obtained from each patient per recording electrode. Power spectral analysis was conducted for feature extraction and showed the highest predictive accuracy for fluoxetine or ECT outcomes. Both occurred with beta-band oscillations within right-side frontal-central (F1-score = 0.9437) or prefrontal areas of the brain (F1-score = 0.9416), respectively. Significantly higher beta-band power was observed among patients who lacked adequate treatment response than the remitters, specifically at 19.2 Hz or 24.5 Hz for fluoxetine administration or ECT outcome, respectively. Our findings indicated that pre-treatment, right-side cortical hyperactivation is associated with poor outcomes of antidepressant-based or ECT-based treatment in major depression. Whether depression treatment response rates can be improved by reducing the high-frequency EEG power in corresponding areas of the brain to provide a protective effect against depression recurrence warrants further study.

Electroconvulsive therapy for treatment-resistant depression

Electroconvulsive therapy (ECT), the oldest brain stimulation procedure in psychiatry, is associated with rapid response and remission in majority of patients with resistant, severe, and sometimes life-threatening depression. ECT has been included as an essential component in the definition of treatment-resistant depression (TRD) to display the course and diversification of TRD. On the other hand, ECT remains the treatment of choice for the most severe incapacitating forms of TRD and is a cost-effective treatment. In this chapter, we reviewed some essential studies, meta-analysis, and expert guidelines regarding ECT in TRD. ECT should not be considered as a treatment of last resort, and its administration should be considered on the basis of individual patient and illness factors. The clinical role of ECT vs other neurostimulation treatments for TRD, that is, repetitive transcranial magnetic stimulation, were also explored. Much effort has been directed toward the clinical and basic research about mechanisms of action of ECT in depression. A thorough understanding of the neurobiological effects of ECT may increase our understanding of its therapeutic effects, ultimately leading to improved patient care. We also showed that the distinct mechanisms of ECT in biological treatments of major depressive disorder (MDD) and some recent approaches to understand this most common psychiatric disorder. ECT should remain a standard part of modern psychiatric medicine. We recommend a more careful and thoughtful application of this traditional but effective technology.

Electroconvulsive Therapy for Treatment-Resistant Depression: Dispelling the Stigma

The current article is a comprehensive overview of electroconvulsive therapy (ECT) for treatment-resistant depression (TRD), especially with suicidality and psychosis. Common misconceptions and stigma associated with ECT are discussed. Major depressive disorder, one of the most prevalent lifetime mental disorders, is often associated with significant impairments that impacts one's ability to function. Antidepressants may be efficacious in treating depression; however, approximately one third of individuals do not respond to psychotropic medications. Therefore, other treatment options, such as ECT, must be considered for those who do not respond to medications, have psychosis, or are suicidal. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].

Economic evaluation of interventions for treatment-resistant depression: A systematic review

Background

The extraordinarily high prevalence of treatment-resistant depression (TRD), coupled with its high economic burden to both healthcare systems and society, underscore how critical it is that resources are managed optimally to address the significant challenge it presents.

Objective

To review the literature on economic evaluation in TRD systematically, with the aim of informing future studies by identifying key challenges specific to the area, and highlighting good practices.

Methods

A systematic literature search across seven electronic databases was conducted to identify both within-trial and model-based economic evaluations in TRD. Quality of reporting and study design was assessed using the Consensus Health Economic Criteria (CHEC). A narrative synthesis was conducted.

Results

We identified 31 evaluations, including 11 conducted alongside a clinical trial and 20 model-based evaluations. There was considerable heterogeneity in the definition of treatment-resistant depression, although with a trend for more recent studies to use a definition of inadequate response to two or more antidepressive treatments. A broad range of interventions were considered, including non-pharmacological neuromodulation, pharmacological, psychological, and service-level interventions. Study quality as assessed by CHEC was generally high. Frequently poorly reported items related to discussion of ethical and distributional issues, and model validation. Most evaluations considered comparable core clinical outcomes - encompassing remission, response, and relapse. There was good agreement on the definitions and thresholds for these outcomes, and a relatively small pool of outcome measures were used. Resource criteria used to inform the estimation of direct costs, were reasonably uniform. Predominantly, however, there was a high level of heterogeneity in terms of evaluation design and sophistication, quality of evidence used (particularly health state utility data), time horizon, population considered, and cost perspective.

Conclusion

Economic evidence for interventions in TRD is underdeveloped, particularly so for service-level interventions. Where evidence does exist, it is hampered by inconsistency in study design, methodological quality, and availability of high quality long-term outcomes evidence. This review identifies a number of key considerations and challenges for the design of future economic evaluations. Recommendations for research and suggestions for good practice are made.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259848&VersionID=1542096, identifier CRD42021259848.

Systematic review of structured care pathways in major depressive disorder and bipolar disorder

BACKGROUND

Structured care pathways (SCPs) consist of treatment algorithms that patients advance through with the goal of achieving remission or response. These SCPs facilitate the application of current evidence and adequate treatment, which potentially benefit patients with mood disorders. The aim of this systematic review was to provide an updated synthesis of SCPs for the treatment of depressive disorders and bipolar disorder (BD).

METHOD

PubMed, PsycINFO, and Embase were searched through June 2022 for peer-reviewed studies examining outcomes of SCPs. Eligibility criteria included being published in a peer-reviewed journal in the English language, reporting of intervention used in the SCP, and having quantitative outcomes. Studies Cochrane risk of bias tool was used to assess quality of RCTs.

RESULTS

Thirty-six studies including 15,032 patients were identified for qualitative synthesis. Six studies included patients with BD. The studies were highly heterogeneous in design, outcome measures, and algorithms. More than half of the studies reported superiority of SCPs over treatment as usual, suggesting that the standardized structure and consistent monitoring inherent in SCPs may be contributing to their effectiveness. We also found accumulating evidence supporting feasibility of SCPs in different settings, although dropout rates were generally higher in SCPs. The studies included were limited to being published in peer-reviewed journals in English language. The heterogeneity of studies did not allow quantitative evaluation.

CONCLUSIONS

The findings of our study suggest that SCPs are equally or more effective than treatment as usual in depression and BD. Further studies are required to ascertain their effectiveness, particularly for BD, and to identify factors that influence their feasibility and success.

Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study

BACKGROUND

Electroconvulsive therapy (ECT) is an effective and safe medical procedure that mainly indicated for depression, but is also indicated for patients with other conditions. However, ECT is among the most stigmatized and controversial treatments in medicine. Our objective was to examine social media contents on Twitter related to ECT to identify and evaluate public views on the matter.

METHODS

We collected Twitter posts in English and Spanish mentioning ECT between January 1, 2019 and October 31, 2020. Identified tweets were subject to a mixed method quantitative-qualitative content and sentiment analysis combining manual and semi-supervised natural language processing machine-learning analyses. Such analyses identified the distribution of tweets, their public interest (retweets and likes per tweet), and sentiment for the observed different categories of Twitter users and contents.

RESULTS

"Healthcare providers" users produced more tweets (25%) than "people with lived experience" and their "relatives" (including family members and close friends or acquaintances) (10% combined), and were the main publishers of "medical" content (mostly related to ECT's main indications). However, more than half of the total tweets had "joke or trivializing" contents, and such had a higher like and retweet ratio. Among those tweets manifesting personal opinions on ECT, around 75% of them had a negative sentiment.

CONCLUSIONS

Mixed method analysis of social media contents on Twitter offers a novel perspective to examine public opinion on ECT, and our results show attitudes more negative than those reflected in studies using surveys and other traditional methods.

Challenges of treating catatonia in the community setting without access to electroconvulsive therapy

Catatonia is a psychomotor syndrome resulting from an underlying psychiatric or medical disorder commonly observed in inpatient psychiatric units. While benzodiazepines and electroconvulsive therapy (ECT) are effective treatment options, the unavailability of ECT in many community psychiatric hospitals in the United States negatively affects patient outcomes. We present a 25-year-old African American male with a psychiatric diagnosis of schizophrenia complicated by malignant catatonia who was admitted to a community psychiatric hospital. He required intensive medical stabilization with supportive management, and transfer requests to ECT-equipped hospitals were initiated. While awaiting transfer for 148 days, the patient's symptoms did not fully remit with lorazepam (even with 36 mg daily in divided doses) and other psychotropic medication trials, including antipsychotics and mood stabilizers. After nearly 5 months of inpatient stay, he was successfully transferred, received ECT treatment, and experienced rapid resolution of catatonia. After discharge, to obtain three monthly sessions of maintenance ECT, he had 5-h one-way ground transportation arranged to an out-of-county ECT-equipped facility. There was no relapse in catatonia by the 2-year follow-up. This report highlights a significant healthcare disparity when attempting to manage severe catatonia within community hospital settings without access to ECT in the United States. Alternative treatments, including antipsychotics, had minimal impact on symptoms and possibly increased morbidity in this case while awaiting ECT. Treatment at our designated safety net hospital still required referral to 14 ECT-equipped hospitals before successful transfer. This case highlights the urgent need for ECT availability in more community hospitals to treat patients with refractory psychiatric conditions, including catatonia. ECT is an essential psychiatric treatment that, for certain conditions, has no appropriate alternatives. We propose that access to ECT be considered in the determination of safety net hospital systems, with improved ability to transfer patients who are suffering from treatable life-threatening mental health conditions.

[Health service aspects of electroconvulsive therapy: analysis of external referrals to a university medical center]

BACKGROUND

The application of ECT in Germany varies widely depending on regional availability. This shortfall in ECT supply is partly compensated via referrals to hospitals with ECT services, yet restricted by limited resources in these clinics.

OBJECTIVE

External referrals for ECT were investigated at the University Medical Center Göttingen. We analyzed the referring institutions, patient characteristics, pharmacotherapy according to current guidelines before indications for ECT, and clinical outcome in cases of treatment with ECT.

MATERIAL AND METHODS

All external referrals were systematically recorded and retrospectively evaluated for the time span of 1 year. Besides descriptive presentation of the data, pharmacological pretreatment was compared with the current guideline recommendations. We used overall clinical impression (CGI-I) to determine the treatment response post-ECT.

RESULTS

External referrals were made for N = 52 patients, 82.7% of whom were from the inpatient setting and from a distance of up to 300 km. The most common diagnoses were unipolar depression (57.7%), followed by schizophrenia spectrum (36.5%). Prior to referral, at least one guideline-based pretreatment was given in the majority of cases. ECT was performed in 18 patients in our hospital, of whom 72.7% showed a good to very good response.

CONCLUSION

Both numbers and radius of external referrals indicate a high unmet need for ECT and thus limited access to this evidence-based and guideline-recommended therapy. As treatment close to home should be the goal, more hospitals are needed to establish (or expand) ECT services; however, even with considerable delays which are often associated with external referrals, the response rate is good across all diagnoses.

Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder

BACKGROUND

Although electroconvulsive therapy (ECT) is an effective treatment for depression, ECT cognitive impairment remains a major concern. The neurobiological underpinnings and mechanisms underlying ECT antidepressant and cognitive impairment effects remain unknown. This investigation aims to identify ECT antidepressant-response and cognitive-impairment multimodal brain networks and assesses whether they are associated with the ECT-induced electric field (E-field) with an optimal pulse amplitude estimation.

METHODS

A single site clinical trial focused on amplitude (600, 700, and 800 mA) included longitudinal multimodal imaging and clinical and cognitive assessments completed before and immediately after the ECT series (n = 54) for late-life depression. Another two independent validation cohorts (n = 84, n = 260) were included. Symptom and cognition were used as references to supervise fMRI and sMRI fusion to identify ECT antidepressant-response and cognitive-impairment multimodal brain networks. Correlations between ECT-induced E-field within these two networks and clinical and cognitive outcomes were calculated. An optimal pulse amplitude was estimated based on E-field within antidepressant-response and cognitive-impairment networks.

RESULTS

Decreased function in the superior orbitofrontal cortex and caudate accompanied with increased volume in medial temporal cortex showed covarying functional and structural alterations in both antidepressant-response and cognitive-impairment networks. Volume increases in the hippocampal complex and thalamus were antidepressant-response specific, and functional decreases in the amygdala and hippocampal complex were cognitive-impairment specific, which were validated in two independent datasets. The E-field within these two networks showed an inverse relationship with HDRS reduction and cognitive impairment. The optimal E-filed range as [92.7-113.9] V/m was estimated to maximize antidepressant outcomes without compromising cognitive safety.

CONCLUSIONS

The large degree of overlap between antidepressant-response and cognitive-impairment networks challenges parameter development focused on precise E-field dosing with new electrode placements. The determination of the optimal individualized ECT amplitude within the antidepressant and cognitive networks may improve the treatment benefit-risk ratio.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02999269.

Contemporary Anesthetic Evaluation and Management for Electroconvulsive Therapy

Electroconvulsive therapy (ECT) is a medical treatment most often used in patients with severe major depression that has not responded to other treatments. ECT is also indicated for patients with other severe psychiatric conditions, including bipolar disorder, schizophrenia, schizoaffective disorders, catatonia, and neuroleptic malignant syndrome. Contemporary "modified ECT" involves inducing general anesthesia with neuromuscular blockade before inducing the therapeutic seizure. The goal of this review is to combine an evidence-based update with the experience of the author's institution to provide a practical approach to anesthetic care for the patient undergoing ECT.

Correlating electroconvulsive therapy response to electroencephalographic markers: Study protocol

Introduction

Electroconvulsive therapy (ECT) is an effective intervention for patients with major depressive disorder (MDD). Despite longstanding use, the underlying mechanisms of ECT are unknown, and there are no objective prognostic biomarkers that are routinely used for ECT response. Two electroencephalographic (EEG) markers, sleep slow waves and sleep spindles, could address these needs. Both sleep microstructure EEG markers are associated with synaptic plasticity, implicated in memory consolidation, and have reduced expression in depressed individuals. We hypothesize that ECT alleviates depression through enhanced expression of sleep slow waves and sleep spindles, thereby facilitating synaptic reconfiguration in pathologic neural circuits.

Methods

Correlating ECT Response to EEG Markers (CET-REM) is a single-center, prospective, observational investigation. Wireless wearable headbands with dry EEG electrodes will be utilized for at-home unattended sleep studies to allow calculation of quantitative measures of sleep slow waves (EEG SWA, 0.5-4 Hz power) and sleep spindles (density in number/minute). High-density EEG data will be acquired during ECT to quantify seizure markers.

Discussion

This innovative study focuses on the longitudinal relationships of sleep microstructure and ECT seizure markers over the treatment course. We anticipate that the results from this study will improve our understanding of ECT.

A Promising Approach to Optimizing Sequential Treatment Decisions for Depression: Markov Decision Process

The most appropriate next step in depression treatment after the initial treatment fails is unclear. This study explores the suitability of the Markov decision process for optimizing sequential treatment decisions for depression. We conducted a formal comparison of a Markov decision process approach and mainstream state-transition models as used in health economic decision analysis to clarify differences in the model structure. We performed two reviews: the first to identify existing applications of the Markov decision process in the field of healthcare and the second to identify existing health economic models for depression. We then illustrated the application of a Markov decision process by reformulating an existing health economic model. This provided input for discussing the suitability of a Markov decision process for solving sequential treatment decisions in depression. The Markov decision process and state-transition models differed in terms of flexibility in modeling actions and rewards. In all, 23 applications of a Markov decision process within the context of somatic disease were included, 16 of which concerned sequential treatment decisions. Most existing health economic models relating to depression have a state-transition structure. The example application replicated the health economic model and enabled additional capacity to make dynamic comparisons of more interventions over time than was possible with traditional state-transition models. Markov decision processes have been successfully applied to address sequential treatment-decision problems, although the results have been published mostly in economics journals that are not related to healthcare. One advantage of a Markov decision process compared with state-transition models is that it allows extended action space: the possibility of making dynamic comparisons of different treatments over time. Within the context of depression, although existing state-transition models are too basic to evaluate sequential treatment decisions, the assumptions of a Markov decision process could be satisfied. The Markov decision process could therefore serve as a powerful model for optimizing sequential treatment in depression. This would require a sufficiently elaborate state-transition model at the cohort or patient level.

Early augmentation by using neuromodulation in psychiatric disorder: a kaleidoscopic view

Early augmentation is a relatively newer concept in the management of psychiatric disorders. In managing psychiatric disorders, augmentation strategies are commonly used after failed attempts of optimization of a dose of the medications and then switching to another medication. Neuromodulation methods are recommended by traditional treatment recommendations as augmenting strategies (mostly) in managing treatment-resistant/refractory cases of psychiatric disorders. Late in the process of therapy, several of these techniques are applied to the patient. However, using different neuromodulation techniques, early augmentation of the ongoing pharmacological or psychological treatment may be achieved, resulting in early symptom reduction or remission and early return to work by resuming functionality. The length of the symptomatic cycle may be shortened by early augmentation. There are several potential challenges to adopting an early augmentation strategy in clinical practice. This article discusses the concept and evidence of early augmentation strategy in managing psychiatric disorder by using neuromodulation technique and potential challenges before it.

National Network of Depression Centers' Recommendations on Harmonizing Clinical Documentation of Electroconvulsive Therapy

ABSTRACT

Electroconvulsive therapy (ECT) is a highly therapeutic and cost-effective treatment for severe and/or treatment-resistant major depression. However, because of the varied clinical practices, there is a great deal of heterogeneity in how ECT is delivered and documented. This represents both an opportunity to study how differences in implementation influence clinical outcomes and a challenge for carrying out coordinated quality improvement and research efforts across multiple ECT centers. The National Network of Depression Centers, a consortium of 26+ US academic medical centers of excellence providing care for patients with mood disorders, formed a task group with the goals of promoting best clinical practices for the delivery of ECT and to facilitate large-scale, multisite quality improvement and research to advance more effective and safe use of this treatment modality. The National Network of Depression Centers Task Group on ECT set out to define best practices for harmonizing the clinical documentation of ECT across treatment centers to promote clinical interoperability and facilitate a nationwide collaboration that would enable multisite quality improvement and longitudinal research in real-world settings. This article reports on the work of this effort. It focuses on the use of ECT for major depressive disorder, which accounts for the majority of ECT referrals in most countries. However, most of the recommendations on clinical documentation proposed herein will be applicable to the use of ECT for any of its indications.

Neuromodulation and Hippocampal Neurogenesis in Depression: A Scoping Review

The 'neurogenesis hypothesis of depression' emphasizes the importance of upregulated hippocampal neurogenesis for the efficacy of antidepressant treatment. Neuromodulation is a promising therapeutic method that stimulates neural circuitries to treat neuropsychiatric illnesses. We conducted a scoping review on the neurogenic and antidepressant outcomes of neuromodulation in animal models of depression. PubMed, Web of Science, and PsycInfo were comprehensively searched for full-text English articles from inception to October 5, 2021. Data screening and extraction were conducted independently by two researchers. Seventeen eligible studies were included in this review. The majority of studies used non-invasive neuromodulation (n = 14) and assessed neurogenesis using neural proliferation (n = 16) and differentiation markers (n = 9). Limited reports (n = 2) used neurogenic inhibitors to evaluate the role of neurogenesis on the depressive-like behavioral outcomes. Overall, neuromodulation substantially effectuated both hippocampal cell proliferation and antidepressant-like behavior in animal models of depression, with some providing evidence for enhanced neuronal differentiation and maturation. The proposed neurogenic-related mechanisms mediating the neuromodulation efficacies included neurotrophic processes, anti-apoptotic pathways, and normalization of HPA axis functions. Further research is warranted to explore the role of neuromodulation-induced neurogenic effects on treatment efficacies and to elucidate the underlying molecular mechanisms.

Vital Sign Changes During Intravenous Ketamine Infusions for Depression: An Exploratory Study of Prognostic Indications

PURPOSE/BACKGROUND

Subanesthetic dosing of intravenous ketamine has shown to be an effective treatment for patients with major depressive disorder. It is unknown whether sympathetic response is related to treatment outcomes. The purpose of this study is to evaluate sympathetic response to ketamine infusions as it relates to treatment outcomes.

METHODS/PROCEDURES

This retrospective study examines an outpatient population diagnosed with major depressive disorder or bipolar depression treated with ketamine infusions. Patient characteristics, depressive symptoms measured with the Patient Health Questionnaire (PHQ-9), and vital signs were retrieved by chart review. Patients (n = 145) were categorized as responders (50% reduction in PHQ-9 or less than 10 on final PHQ-9) or nonresponders. Changes in vital signs were recorded during each infusion for the initiation series.

FINDINGS/RESULTS

Ketamine responders (51.7%) showed a significant greater increase in systolic blood pressure response during the first infusion when compared with nonresponders. There was no difference seen in diastolic pressure, heart rate, or rate pressure product. Changes in vital signs for subsequent infusions also did not approach significance.

IMPLICATIONS/CONCLUSIONS

Physiologic sensitivity to the effects of ketamine may predict treatment responsiveness. Blood pressure and heart rate did not always increase. Further work should examine possible influences on physiologic responses.

Electroconvulsive therapy in treatment resistant depression

Electroconvulsive therapy (ECT) is a treatment modality for patients with treatment resistant depression (TRD), defined as failure of two adequate antidepressant medication trials. We provide a qualitative review of ECT's effectiveness for TRD, methods to optimize ECT parameters to improve remission rates and side effect profiles, and ECT's proposed neurobiological mechanisms. Right unilateral (RUL) electrode placement has been shown to be as effective for major depression as bilateral ECT, and RUL is associated with fewer cognitive side effects. There is mixed evidence on how to utilize ECT to sustain remission (i.e., continuation ECT, psychotropic medications alone, or a combination of ECT and psychotropic medications). Related to neurobiological mechanisms, an increase in gray matter volume in the hippocampus-amygdala complex is reported post-ECT. High connectivity between the subgenual anterior cingulate and the middle temporal gyrus before ECT is associated with better treatment response. Rodent models have implicated changes in neurotransmitters including glutamate, GABA, serotonin, and dopamine in ECT's efficacy; however, findings in humans are limited. Altogether, while ECT remains a highly effective therapy, the neurobiological underpinnings associated with improvement of depression remain uncertain.

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.

Why electroconvulsive therapy still carries a stigma

Electroconvulsive therapy is a highly effective treatment in psychiatry but still carries a stigma. One possible explanation is that it can be seen as a threat to personal autonomy.

'Shock tactics', ethics and fear: an academic and personal perspective on the case against electroconvulsive therapy

Despite extensive evidence for its effectiveness, electroconvulsive therapy remains the subject of fierce opposition from those contesting its benefits and claiming extreme harms. Alongside some reflections on my experiences of this treatment, I examine the case against electroconvulsive therapy and find that it appears to rest primarily on unsubstantiated claims about major ethical violations, rather than clinical factors such as effectiveness and risk.

Neuropsychiatric Treatments for Epilepsy: Nonpharmacological Approaches

Neuropsychiatric conditions are frequently found in patients with epilepsy (PWE). These entities can be as disabling as epilepsy resulting in a significant negative impact on the quality of life of this population if not addressed and treated appropriately. In this article, we provide an overview of non-pharmacological treatments currently available to these patients-and review their effect on mood and anxiety disorders as well as epilepsy. These treatment strategies will allow the practitioner to optimize clinical care during the initial evaluation, which begins with the recognition of the neuropsychiatric condition followed by the appropriate individualized psychotherapeutic approach and/or neuromodulation therapy. To plan a comprehensive treatment for PWE, practitioners must be familiar with these therapeutic tools. Additional clinical research is needed to further create a multidisciplinary team in the assessment and management of neuropsychiatric disorders in PWE.

Clinical research challenges posed by difficult-to-treat depression

Approximately one-third of individuals in a major depressive episode will not achieve sustained remission despite multiple, well-delivered treatments. These patients experience prolonged suffering and disproportionately utilize mental and general health care resources. The recently proposed clinical heuristic of 'difficult-to-treat depression' (DTD) aims to broaden our understanding and focus attention on the identification, clinical management, treatment selection, and outcomes of such individuals. Clinical trial methodologies developed to detect short-term therapeutic effects in treatment-responsive populations may not be appropriate in DTD. This report reviews three essential challenges for clinical intervention research in DTD: (1) how to define and subtype this heterogeneous group of patients; (2) how, when, and by what methods to select, acquire, compile, and interpret clinically meaningful outcome metrics; and (3) how to choose among alternative clinical trial design options to promote causal inference and generalizability. The boundaries of DTD are uncertain, and an evidence-based taxonomy and reliable assessment tools are preconditions for clinical research and subtyping. Traditional outcome metrics in treatment-responsive depression may not apply to DTD, as they largely reflect the only short-term symptomatic change and do not incorporate durability of benefit, side effect burden, or sustained impact on quality of life or daily function. The trial methodology will also require modification as trials will likely be of longer duration to examine the sustained impact, raising complex issues regarding control group selection, blinding and its integrity, and concomitant treatments.