Ketamine

Rapid effectiveness of intravenous ketamine for ultraresistant depression in a clinical setting and evidence for baseline anhedonia and bipolarity as clinical predictors of effectiveness

This retrospective, open-label, database study (n=50) examined the efficacy of ketamine (35mg/70kg) treatment for patients with ultra-resistant depression and found that baseline anhedonia and bipolar disorder strongly predicted treatment response (44%) and the rate of symptom remission (16%) across participants.

Authors

  • Baker, G.
  • Dursun, S.
  • Lind, J.

Published

Journal of Psychopharmacology
individual Study

Abstract

Background: Intravenous ketamine has been established as an efficacious and safe treatment, with transient effect, for treatment-resistant depression. However, the effectiveness of intravenous ketamine in non-research settings and with ultraresistant depression patients remains understudied.Aims: This study aims to measure the response and remission rates in ultraresistant depression patients in a clinical setting by means of a retrospective, open label, database study. Secondarily, the study will attempt to support previous findings of clinical predictors of effectiveness with intravenous ketamine treatment.Methods: Fifty patients with ultraresistant depression were treated between May 2015-December 2016, inclusive, in two community hospitals in Edmonton using six ketamine infusions of 0.5 mg/kg over 40 min over 2-3 weeks. Data were collected retrospectively from inpatient and outpatient charts. Statistical analysis to investigate clinical predictors of effectiveness included logistic regression analysis using a dependent variable of a 50% reduction in rating scale score at any point during treatment.Results: At baseline, the average treatment resistance was severe, with a Maudsley Staging Method score of 12.1 out of 15, 90.0% were resistant to electroconvulsive therapy, and the average Beck Depression Inventory score was 34.2. The response rate was 44% and remission rate was 16%. As a single predictor, moderate or severe anhedonia at baseline predicted a 55% increased likelihood of response. As a combined predictor, this level of anhedonia at baseline with a diagnosis of bipolar depression predicted a 73% increase in likelihood of response.Conclusion: In a clinical setting, intravenous ketamine showed effectiveness in a complex, severely treatment-resistant, depressed population on multiple medication profiles concurrently. This study gave support to anhedonia and bipolar depression as clinical predictors of effectiveness.

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Research Summary of 'Rapid effectiveness of intravenous ketamine for ultraresistant depression in a clinical setting and evidence for baseline anhedonia and bipolarity as clinical predictors of effectiveness'

Introduction

Thomas and colleagues frame the study around an underserved subgroup of depressed patients who have failed extensive prior treatments — antidepressants, augmentation strategies, psychotherapy, and electroconvulsive therapy (ECT) — and describe this population as ultraresistant depression (URD). Previous research indicates that a substantial proportion of major depressive disorder (MDD) patients develop treatment-resistant depression (TRD) and that higher levels of treatment resistance predict poorer outcomes. Intravenous (IV) ketamine, an NMDA receptor antagonist acting on the glutamatergic system, has shown rapid antidepressant and anti‑suicidal effects in TRD in controlled research settings, but evidence is limited for its effectiveness in routine clinical practice and specifically in patients with URD. The authors note prior work suggesting clinical predictors of ketamine response (for example anhedonia, family history of alcohol use disorder, higher body mass index and early response) but highlight the need for replication and investigation in more severely resistant samples. This study set out to measure response and remission rates after a six‑infusion course of IV ketamine delivered in routine clinical settings to patients with URD, and to assess whether previously reported clinical predictors of ketamine effectiveness could be supported in this population. The investigators used a retrospective, open‑label database approach to examine outcomes and applied logistic regression to test clinical and demographic predictors of response, defined primarily as a 50% reduction on standard depression rating scales at any point during treatment. The study therefore aimed to provide real‑world effectiveness data and to explore feasible clinical predictors that could help stratify patients most likely to benefit from ketamine.

Methods

The researchers conducted a retrospective chart‑based database study of all patients who received IV ketamine for depression at two community hospitals in Edmonton between 13 May 2015 and 31 December 2016. Fifty subjects were included in the analysis; one additional patient with clinician‑noted improvement was excluded because rating scales were not completed, while four patients with no response documented but missing end‑of‑treatment scales were counted as non‑responders. Ethical approval and a waiver of consent were obtained from local research ethics boards. Inclusion required meeting at least three of four pragmatic clinical criteria: (a) a clinician‑determined major depressive episode (unipolar or bipolar), (b) refractory to at least five psychotropic medications for mood disorder as judged by the treating clinicians, (c) refractory to or unsuitable for ECT (at least six ECT treatments without adequate response), and (d) acute suicidality. Exclusion criteria included active psychosis, active substance abuse or dependence, unstable medical conditions, pregnancy, significant primary personality disorder, dissociative identity disorder, or a history of severe adverse reaction to ketamine. Patients continued concomitant medications; no drug classes were mandated to stop and past substance use in remission was permitted. Ketamine was administered at 0.5 mg/kg IV over 40 minutes by nursing staff with a physician on site, typically 2–3 times per week up to a recommended maximum of six infusions. Monitoring included pre‑, mid‑ and post‑infusion vital signs and safety bloodwork and ECG at baseline. If side effects occurred clinicians could slow or stop the infusion or give low‑dose quetiapine or lorazepam. Baseline and outcome assessments used one or more standard rating scales: the Montgomery–Åsberg Depression Rating Scale (MADRS), Beck Depression Inventory I or II (BDI‑I/II), Hamilton Rating Scale for Depression 17 or 21 (HRSD‑17/21) and the Brief Psychiatric Rating Scale (BPRS). Administration timing was not standardised but was typically at least four hours post‑infusion. A bespoke nursing side‑effect tracking sheet categorised side effects as mild, moderate, or severe. Response was defined as a 50% reduction in BDI‑I, BDI‑II or HRSD‑21 at any time during treatment; remission used accepted cut‑offs for each scale. Statistical analysis compared baseline characteristics between responders and non‑responders using independent t‑tests and z‑tests. Logistic regression models examined predictors of response (and, separately, remission). Three sets of logistic regressions were run to reduce type II errors: (1) categorical clinical variables (age split >50/≤50, gender, family history of alcohol use disorder, suicidality, anxiety, unipolar versus bipolar diagnosis, and anhedonia), (2) continuous variables (BMI, age, and Maudsley Staging Method (MSM) score, the latter measuring level of treatment resistance), and (3) concurrent medication categories (lamotrigine, benzodiazepines, antipsychotics). Missing data were handled by excluding the individual from that specific analysis rather than imputing means. Odds ratios (ORs) from logistic regression quantify the change in odds of response associated with predictors.

Results

Fifty patients meeting the URD criteria were analysed. At baseline the cohort had a high degree of treatment resistance: mean Maudsley Staging Method (MSM) score was 12.1 out of 15, 90% were ECT‑resistant and 86% had prior unsuccessful psychotherapy. Nearly all patients remained on concurrent psychotropic medications during ketamine treatment. Personality trait diagnoses (Cluster B and C) were documented in 44% and 48% respectively, and 64% had a lifetime DSM‑5 anxiety disorder recorded. The overall response rate (≥50% reduction on BDI‑I/II or HRSD‑21 at any time during treatment) was 44% and the remission rate was 16%. The authors report that no patient who showed response at an interim point subsequently lost that response by the end of the observed treatment course. Subscale improvements reached zero (complete remission on that item) for 54.0% of patients who were at least mildly depressed at baseline on the depressed‑mood subscale, and 68.9% of those who were at least mildly suicidal at baseline scored zero on the suicidality subscale during treatment. Baseline comparisons between responders and non‑responders found that concurrent lamotrigine use differed significantly (p=0.015) while bipolarity differed at a trend level (p=0.080). In categorical logistic regression analyses, at least moderate baseline anhedonia alone was associated with a 55% increased likelihood of response (reported as 55% more likely; p=0.072, OR=1.21) and bipolar depression alone with a 54% increased likelihood (p=0.087, OR=1.18). When both factors were present together (bipolar diagnosis plus at least moderate anhedonia), the likelihood of response increased to 73% (p=0.035, OR=3.03). Logistic regressions using continuous variables (BMI, MSM, age) and analyses of concurrent benzodiazepine or antipsychotic use did not identify statistically significant predictors. Repeating logistic regressions with remission as the dependent variable yielded no significant clinical predictors. Regarding tolerability, most patients experienced mild, transient sensations; 82% had mild side effects that did not require intervention. Four of 50 patients experienced adverse events leading to premature cessation of an infusion. The investigators note that all five patients who were on lamotrigine during the treatment course responded, an observation described as underpowered but potentially noteworthy.

Discussion

The researchers interpret the findings as evidence that a six‑infusion IV ketamine course can be effective and reasonably well tolerated in a highly treatment‑resistant, clinically complex URD population treated in routine hospital settings. They emphasise the severity and heterogeneity of the sample — 90% ECT‑resistant, high rates of comorbid personality traits and anxiety disorders, and a mix of unipolar and bipolar depression — and view the achieved response (44%) and remission (16%) rates as encouraging given this poor‑prognosis group. The authors also highlight notable subscale improvements, particularly in depressed mood and suicidality items. Anhedonia emerged as a clinically relevant predictor of response in this dataset. The authors situate this finding within prior work showing anti‑anhedonic effects of ketamine, and link anhedonia to anterior cingulate cortex dysfunction in neuroimaging and electrophysiological studies; they note that ketamine's putative mechanism of action (synaptogenesis via glutamatergic pathways) may plausibly affect reward circuitry implicated in anhedonia. Bipolarity was also associated with greater likelihood of response in the combined predictor model, and the authors relate this to other evidence of ketamine's efficacy in bipolar depression. They acknowledge, however, that bipolar diagnosis in this study derived from standard clinical documentation rather than structured diagnostic interviews. The discussion addresses the unexpected finding regarding lamotrigine, noting that all five patients on lamotrigine responded; this contrasts with the theoretical expectation that lamotrigine (a glutamate‑release inhibitor) might attenuate ketamine's glutamatergic effects. The authors reference mixed prior results and describe their observation as underpowered and hypothesis‑generating. Limitations are acknowledged: the retrospective, open‑label design lacks controls and is vulnerable to confounding, including concurrent medications and psychosocial interventions; missing or non‑standardised timing of rating scales; limited power for some predictors due to low frequency; and the potential for placebo or expectancy effects (they cite a 28% response rate with midazolam in another study). The diagnostic assessments were based on routine clinical practice rather than standardised instruments, which the authors note both limits precision and arguably reflects real‑world accuracy given long clinical relationships. They call for replication in larger samples and propose that combining clinical predictors with biomarkers (for example fMRI‑defined biotypes or measures of global brain connectivity) could improve stratification and move towards personalised treatment selection. The authors also support the development of registries to aggregate real‑world ketamine outcomes and predictors.

Conclusion

In routine clinical practice, a six‑infusion course of IV ketamine showed effectiveness and short‑term tolerability in a complex, severely treatment‑resistant depressed population receiving multiple concurrent medications. The observed response rate is presented as encouraging for this unmet clinical need. The authors recommend larger collaborative registries and further research combining clinical predictors (such as moderate anhedonia and bipolarity) with biomarkers to improve patient selection and reduce the duration of disabling, ineffective treatments for patients with ultraresistant depression.

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INTRODUCTION

An underserved and suboptimally treated population exists in depressed patients who have failed a comprehensive treatment regimen of antidepressants, augmentation strategies, psychotherapy, and electroconvulsive therapy (ECT) and can be described as ultraresistant depression (URD). These patients carry a large burden of illness. When using the colloquial definition of an inadequate response to adequate trials of two or more antidepressants, it can be extrapolated from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial that over 35% of major depressive disorder (MDD) patients develop treatment-resistant depression (TRD), and of that population, 40% remain depressed after ECT which is considered the gold standard of treatment for TRD. Further, the literature around the Maudsley Staging Method (MSM) for TRD demonstrates that a higher level of treatment resistance predicts poorer outcomes. Therefore, this is a population in which clinicians may consider the use of experimental treatments like intravenous (IV) ketamine (glutamatergic agent through N-methyl-D-aspartate (NMDA) receptor antagonism). IV ketamine at subanesthetic doses has demonstrated effect sizes similar to ECT in TRD with a novel mechanism, for both unipolar and bipolar depression. It has also yielded exciting anti-suicidal effects independent of anxiolytic and antidepressant effects. However, the effectiveness of IV ketamine in non-research settings and with URD patients remains understudied. Given the current experimental nature of ketamine treatment, it would be ideal to collect biomarkers of response that would provide knowledge about which particular patients are more likely to respond. Until now, most of the biomarker research has been done in single infusion ketamine treatments. In search of symptoms of depression to stratify the depression phenotype that may respond to IV ketamine, evidence exists for anhedonia, anxiety/somatization, fatigue, and suicidal ideation. As for baseline sociodemographic variables, family history of an alcohol use disorder in a first degree relative (FHA) has been reported to be a clinical predictor of effectiveness, and this finding has been replicated. In addition, a higher body mass index (BMI) and early response have been linked to initial and sustained response. Alcoholism and higher BMI have been implicated in inflammation, which gives further support to ketamine's theorized mechanism of action being antiinflammatory and affecting synaptogenesis. The current literature requires further replication, and combining this information with other modalities may increase the predictive accuracy. This study aims to measure the response and remission rates of a six-infusion course of ketamine. Additionally, it aims to support previous findings of clinical predictors of effectiveness to IV ketamine in a clinical setting of URD patients.

DATABASE COLLECTION

Data were collected from all patients who received ketamine at the Grey Nuns Community Hospital or Misericordia Community Hospital for depression from the inaugural patient on 13 May 2015-31 December 2016, retrospectively through pharmacy records. It was deemed a priori that 50 subjects were sufficient for the proposed statistical analysis. One patient had a significant response by clinician notes but did not complete rating scales, so was not included. Four patients had no response based on clinical notes and did not complete end rating scales, and were included in the study as non-responders. An electronic database was created and information from electronic outpatient charts, paper inpatient charts, and paper outpatient charts were input. All admission and discharge summaries in Edmonton have a standardized format, which allowed for extraction of past and present medical diagnoses, family history of addiction and mental illness, and history of substance use. Demographics, BMI, rating scales, and side effects from tracking sheets were extracted from nursing protocols before and during the infusions. Laboratory results, MSM scores, and past and present psychopharmacology use were extracted from a combination of all sources available. Personality and Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5) diagnostic information were collected only if the words 'disorder' or 'traits' were ever documented in the 'diagnoses' section of any of the sources. Some patients underwent more than six treatments of ketamine, but no data were collected beyond the sixth post-ketamine rating scale. Ethical approval and a waiver of consent were provided by the University of Alberta Research Ethics Board and the Covenant Health Research Ethics Board.

INCLUSION CRITERIA

Inpatients or outpatients who satisfied three out of four criteria were permitted to be given IV ketamine and all were in this study. The criteria used were: (a) a diagnosis of a major depressive episode (unipolar or bipolar) determined by usual standard of care clinical opinion over years of observation, (b) refractory (defined by clinician) to pharmacological treatment by at least five psychotropic medications for treating a mood disorder, (c) refractory (underwent at least six ECT treatments without adequate response, defined by clinician) to, or not suitable for, ECT (not including refusal due to preference), and (d) acutely suicidal.

EXCLUSION CRITERIA

The exclusion criteria used included patients with active psychosis, drug or alcohol abuse/dependence, dementia/delirium, a significant personality disorder believed to be the primary issue, a significant unstable medical condition, pregnancy, dissociative identity disorder, a history of allergic reaction to ketamine, or a history of any severe adverse reaction to ketamine. There were no suggestions to discontinue any medications through the study period and no specific medication classes were excluded. Further, substance use disorders that were in remission and past use of ketamine or phencyclidine were not excluded.

ADMINISTRATION OF IV KETAMINE

A baseline assessment by a physician included a physical examination, blood work (complete blood count (CBC), electrolytes, aspartate transaminase (AST), alanine transaminase (ALT), gamma-glutamyl transpeptidase (GGT), thyroid-stimulating hormone (TSH)), an electrocardiogram, a urine drug screen 24 h before if deemed appropriate, and a medical consult when necessary. After written, informed consent was received, IV ketamine was administered in the inpatient unit or in the recovery room of the hospital by a nurse at a dose of 0.5 mg/kg over 40 min. A physician was on site during the procedure. Monitoring included measurement of oxygen saturation, blood pressure, and heart rate, with vital signs taken pre-, mid-, and immediately post-infusion, as well as pre-discharge. Infusions were repeated 2-3 times per week with a recommended maximum of six infusions. If side effects occurred during the infusion, the clinician had options to slow down the rate of the infusion, intervene with medications (low dose quetiapine and/or lorazepam), stop the infusion, or continue with close observation.

RATING SCALES

At baseline, one or more of the following scales were used: the Montgomery Asberg Depression Rating Scale (MADRS), the Beck Depression Inventory-I or -II (BDI-I or BDI-II), the Hamilton Rating Scale for Depression 17 or 21 (HRSD-17 or HRSD-21), and the Brief Psychiatric Rating Scale (BPRS). The MADRS and HRSD-17 were used as a self-rated scale so were only used for baseline symptomatology information. All other scales were used as recommended. The frequency and type of rating scale administered was left to the clinician's discretion, with a suggestion to administer rating scales at least at baseline, post-treatment one, post-treatment three, and on completion. When rating scales were given post treatment, the timing of administration was not standardized, but typically they were given at least four hours post-treatment, which extends past the half-life of IV ketamine. A side effect tracking scale was uniquely created for this patient population based on known short term side effects at the initiation of the treatment (see Supplementary Material Table). Nursing staff were instructed to fill out the tracking sheet at least three times between initiation and the end of the recovery period. Notes were made if the patient experienced any side effects (categorized as 'mild'), side effects requiring decreasing the rate of infusion or requiring intervention (categorized as 'moderate'), or side effects requiring premature stoppage of the infusion (categorized as 'severe').

STATISTICAL ANALYSIS

Clinical and demographic characteristics at baseline were compared between responder and non-responder groups using independent t-tests. Response was defined as a 50% reduction in BDI-I, BDI-II, or HRSD-21 between baseline and any time-point during treatment. Remission was defined by accepted criteria for each scale. Logistic regression analyses all involved a dependent variable of response and were repeated with remission as the dependent variable. Three separate logistic regression calculations were done to mitigate type 2 errors. 1. Categorical independent variables of age (>50 and ⩽50), gender, FHA, suicidality (zero on any scale or other), anxiety (zero or one versus two or three on any scale), unipolar versus bipolar depression, and anhedonia (zero or one versus two or three on any scale). 2. Continuous data independent variables of BMI, age, and MSM. 3. Categorical independent variables of patients on lamotrigine (glutamate release inhibitor and voltage-gated sodium channel blocker), benzodiazepines, and antipsychotics (first, second or third generation) during ketamine treatments. Missing data were dealt with by excluding the patient from that analysis rather than using the mean.

RESULTS

Baseline characteristics of the population demonstrated an average MSM TRD level of severe with low variance at 12.1 out of 15, in addition to being 90% ECT resistant and 86% psychotherapy resistant. All the patients except one were concomitantly on medication while receiving the treatment course. Diagnoses of Cluster B and C personality traits were given to a patient by clinician documentation in 44% and 48% of the population, respectively, and 64% of the population had a documented DSM-5 diagnosis of an anxiety disorder at least once in their lifetime. Baseline characteristics of responders and non-responders were compared with independent t tests and z tests. Only 'concurrent use of lamotrigine' (p=0.015) was found to be statistically different between responders and non-responders at p<0.05, and bipolarity (p=0.080) was the only factor that was statistically different at p<0.1 (Table). A full list of medications and the total number of patients concurrently and previously taking the medications is included in Supplementary Material Table. The response rate in this population was 44% and the remittance rate was 16%. There were no instances where a patient responded during the treatment and did not sustain their response when followed to the end of treatment, which was substantiated by clinical notes throughout the study period. Specific subscales followed for remission over the course of treatment found that 54.0% and 68.9% of patients who were at least mildly depressed or suicidal at baseline scored a zero on depressed mood and suicidality subscales, respectively, during treatment. Complete symptom remission percentages in other subscales are listed in Table. Logistic regression on categorical data of age, gender, anxiety, anhedonia, bipolarity, FHA, and suicidality were investigated and at least moderate anhedonia at baseline and bipolar depression were seen as predictors in this regression model. The finding was more significant when the two factors were combined. When investigated alone, patients with at least moderate anhedonia at baseline were found to be 55% more likely to respond to IV ketamine (p=0.072, odds ratio (OR)=1.21) and the presence of bipolar depression was found to be 54% more likely to respond (p=0.087, OR=1.18). Together, patients with a diagnosis of bipolar depression and at least moderate anhedonia at baseline were 73% more likely to respond to IV ketamine (p=0.035, OR=3.03). (Table) Logistic regression was done to investigate clinical predictors of effectiveness for continuous variables of BMI, MSM, and age as well as with presence or absence of benzodiazepines and antipsychotics during treatment, and no statistical significance was found (Supplementary Material Table). All logistic regression calculations were repeated with remission as the dependent variable and no statistical significant clinical predictors of remission were found (Supplementary Material Table).

DISCUSSION

This retrospective, database study in a clinical setting with 50 patients represents the highest level of TRD that has been studied for IV ketamine. In this population, 90% have failed ECT, which is one of the most effective treatments for TRD (UK. When considering the growing number of IV ketamine clinics for TRD in North America, information on this population adds applicability to the literature. The heterogeneity and complexity of these patients make them difficult to study in clinical research settings, as was seen in our population with a high proportion of comorbid personality traits, comorbid anxiety disorders, and a mixture of unipolar and bipolar depressed patients. A higher level of treatment resistance infers a poor prognosis. The response and remittance rates that were achieved are therefore very encouraging to a population that is underserved. As expected with a higher level of treatment resistance, the remission rate of) reported 53%, whereas this study yielded a 68% remission at any point in treatment. Further, 55% of the population remitted in the depressed mood subscale of a rating scale at some point in the study, and this correlates with the positive clinical opinion of ketamine effectiveness. Also, this rate is much higher than the remission rate. This brings up the possibility that IV ketamine has a differential effect on different subscales of depression.attempted to address the heterogeneity of depression and the treatment response to ketamine by way of an exploratory factor analysis on 119 patients involved in ketamine clinical trials. Their results supported the contention that a differential symptom response may exist and that measuring specific factors found across rating scales may be more accurate in identifying ketamine treatment response than conventional rating scales. Given the heterogeneity in the study population and the lack of biomarkers, it could be hypothesized that the sensitivity of the study to find clinical predictors of effectiveness to ketamine would be low. Due to the sample size, the percentage of some of the predictors present were of low frequency, and this limits the ability to assess many of the predictors with sufficient power. Nevertheless, there was evidence for at least moderate anhedonia as a single clinical predictor of effectiveness. This is especially encouraging as treatment for anhedonia is an unmet need in psychiatry. It is known that anhedonia is a negative prognostic factor for depression, as standard antidepressants do little to treat anhedonia and anhedonia is a major risk factor for suicide. Growing evidence is supporting the role of anhedonia as a potential clinical predictor of effectiveness to ketamine.demonstrated, in a randomized, placebo-controlled, double-blind trial of single infusion ketamine to 36 patients with bipolar depression, that ketamine had anti-anhedonic effects and that these effects were related to action at the anterior cingulate cortex. Anhedonia has been localized to the anterior cingulate cortex in resting state functional magnetic resonance imaging (fMRI), electroencephalography and deep brain stimulation studies as well. Among other roles, the anterior cingulate cortex functions in error detection, task shifting, conflict monitoring and reward based learning. In terms of clinical predictors of effectiveness, this was also seen in fMRI studies showing that fearful face stimuli elicit responses in the anterior cingulate cortex. Dysfunction in the anterior cingulate cortex at baseline significantly predicted patient response to single infusions of ketamine four hours post-treatment. The exact mechanism of action of ketamine's anti-anhedonic effects remains unknown. The current hypothesis of ketamine's antidepressive mechanism of action is that of synaptogenesis through the glutamate pathway. Anhedonia is in part related to pathology in the reward system, motivation, rumination and distraction, leading to a difficulty in managing negative thoughts and feelings. The negative, self-referential, ruminative aspect of MDD has been related to an increased resting state functional activity and a decreased reactivity in the default mode network.demonstrated with fMRI responsive to negative face stimuli and treatment with single infusion ketamine, that ketamine was effective and had action in the anterior cingulate cortex, perhaps normalizing neuronal connection. Further, they found patients with less ability to distract from negative experiences at baseline had more pronounced findings in the anterior cingulate cortex. An interesting yet underpowered finding of this study was that of the five patients on lamotrigine throughout treatment, all responded to IV ketamine. Theoretically, lamotrigine functions to inhibit the release of glutamate which is opposed to the proposed mechanism of action of ketamine.found that lamotrigine attenuated dissociation and increased immediate mood elevating properties. However,administered lamotrigine 300 mg versus a placebo two hours prior to IV ketamine 0.5 mg/ kg over 40 min and discovered no significant difference in side effects or antidepressant effect. Our study did not quantify dissociation, but the effect seen gives support to lamotrigine as a possible adjunct to IV ketamine. This study gave evidence for bipolarity as a predictive factor to response, which has not been previously described. However, it is in keeping with consistent evidence that IV ketamine has a robust effect on bipolar depression and bipolar depression suicidality, which is encouraging as it is a patient population with few available treatments options and often a large burden of illness. A meta-analysis byinvestigated polarity and treatment effect and found that effect sizes were not significantly different four hours post-treatment, but IV ketamine effect sizes on bipolar depression were larger after seven days. This extended effect may have been captured and may have been seen as an additive effect in the multiple doses given over 2-3 weeks in this study. A limitation to this finding is that the diagnosis was based on a standard of care diagnosis by a clinician and not by a standardized diagnostic tool. However, the standard of care diagnosis in this real-world population has increased accuracy due to lengthy longitudinal relationships with clinicians through many previous treatment failures. Further, given the sample size, a specific study of polarity of depression as a clinical predictor of response is warranted to confirm these findings. This study has also added to the majority of evidence that ketamine is a well-tolerated treatment in the short term. Patients often described a pleasant but abnormal sensation (82% with mild side effects) that did not require treatment. Only four out of 50 patients suffered side effects that resulted in aborted treatment. This is comparable to thestudy which reported a dropout rate of 1.9-3.0%. Despite this study's strength in its applicability, there are limitations due to its design. Confounders are an issue for posthoc analysis without controls. Although the response rate and effect size previously achieved in the literature are robust, a large active placebo effect still exists, with one study documenting a 28% response rate with midazolam. The clinical setting allowed for different medication combinations and for many different concomitant psychosocial interventions that may have confounded the study. The placebo effect is mitigated in this sample to some extent as most of the other interventions were continuations of previous interventions that the patient had responded to minimally, if at all, over many years. The findings reported here should be replicated with larger clinical sample sizes, and this could be accomplished with similar logistic regression techniques through national and international data registries. As biomarker research continues to progress, clinical indicators could be combined with biomarkers to make composite clinical decision making tools. For example, the advancements of fMRI techniques have produced exciting findings that may be able to stratify depression phenotypes with the goal of giving more appropriate treatments sooner.studied over 1000 depressed patients with fMRI and were able to subdivide patients into four 'biotypes' of depression. They also found that one biotype was more responsive to repetitive transcranial magnetic stimulation (rTMS) than the others. Further,demonstrated that MDD patients had a distinctly dysfunctional global brain connectivity with global signal regression parameters shown through fMRI techniques in the prefrontal cortex, posterior cingulate, precuneus, lingual gyrus, and cerebellum. This pattern normalized with ketamine treatment. With a connection to more feasible clinical measures, this is a step towards personalized medicine and could prevent the many years of functionally disabling depression we see in the treatment resistant depression population.

CONCLUSION

In a clinical setting, a course of six infusions of ketamine showed effectiveness in a complex, severely treatment-resistant, depressed population on multiple concurrent medications. Given the large unmet need of this patient population, the response rate seen in ketamine is encouraging. An international registry of all patients undergoing IV ketamine has been advocated for by the American Psychiatric Association Council Research Task Force on Novel Biomarkers and Treatments. Such a registry would certainly build on this study and further the applicability and effectiveness data of IV ketamine for the treatment of URD. This study gives support to previous findings that depression with at least moderate anhedonia is a clinical predictor of effectiveness for IV ketamine. Continued study is warranted regarding clinical predictors of effectiveness to ketamine treatment and feasible clinical decision-making tools to avoid years of disability and failed antidepressant trials, and enhance the quality of life for these patients.

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