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. Author manuscript; available in PMC: 2022 May 1.
Published in final edited form as: Mult Scler. 2020 Jul 7;27(6):942–953. doi: 10.1177/1352458520936226

Pilot randomized active-placebo controlled trial of low-dose ketamine for the treatment of multiple sclerosis-related fatigue

Kathryn C Fitzgerald 1,2,*, Bridget Morris 1,*, Aurash Soroosh 1, Alexandra Balshi 1, Dermot Maher 3, Adam Kaplin 4, Bardia Nourbakhsh 1
PMCID: PMC7790846  NIHMSID: NIHMS1610940  PMID: 32633662

Abstract

Background:

Fatigue is the most common symptom of MS and has no effective pharmacotherapy.

Objective:

To determine the tolerability, safety, and efficacy of low-dose ketamine infusion for MS-related fatigue.

Methods:

In this double-blind, randomized, active placebo-controlled trial, 18 subjects with MS and reported fatigue received a single intravenous infusion of ketamine (0.5 mg/kg) or midazolam (0.05 mg/kg). The primary outcome was change in Daily Fatigue Severity (DFS) for seven days following the infusion. Secondary outcomes included fatigue severity scale (FSS), and Modified Fatigue Impact Scale (MFIS) measured up to day 28 post-infusion. We analyzed changes in all outcomes using mixed-effect models.

Results:

18 participants were enrolled; 67% participants received ketamine. Side effects of ketamine were transient. No change in the DFS was observed after seven days (−0.10 point; 95%CI: −0.32,0.12; p=0.40). We observed a trend in reduced FSS scores at 1-week (−5.2 points; 95%CI: −10.4,0.14; p=0.06) and a clinically and statistically significant reduction in MFIS score at day 28 (−13.5 point; 95%CI: −25.0,−1.98; p=0.04).

Conclusions:

Ketamine infusions were safe and well-tolerated. While no change in DFS after seven days was observed, secondary analyses suggest a benefit of ketamine infusion for reduction of longer-term fatigue severity in people with MS.

Keywords: multiple sclerosis, fatigue, ketamine, midazolam, randomized controlled trial

Introduction

Of all the symptoms that can occur with multiple sclerosis (MS), chronic fatigue is the most common and disabling, reported by at least 75% of patients at some point.[1]–[3] Fatigue, defined as an overwhelming feeling of tiredness and exhaustion, results in negative socio-economic consequences by limiting patients’ daily activities[4] and challenging employment.[5] Despite this substantial impact, fatigue treatments have been inconsistently studied, in part due to poorly understood underlying pathophysiological mechanisms.[6],[7] These yet to be defined contributing biological processes and a lack of clear treatment targets have also hampered the development of pharmacologic treatments for MS-related fatigue; there are no medications currently approved by the Food and Drug Administration (FDA) for the treatment of MS-related fatigue. While several agents have been tested for this indication, methodological limitations in the design, execution, and reporting of those trials have not allowed meta-analyses or systematic reviews make conclusions related to efficacy.[8] Psychostimulants and wake-promoting agents are currently used for the treatment of MS-related fatigue in the clinical practice, with minimal or no evidence supporting their effectiveness. Finding new treatment targets for this disabling symptom of MS is likely to have a substantial positive impact on the quality of life of people living with MS.

MS fatigue has a complex and multifactorial pathophysiology. Neuroendocrine abnormalities and inflammatory cytokines have been proposed to contribute to the development of fatigue in patients with MS[9]–[12], however, studies have failed to show consistent associations.[13]–[15] Structural and functional brain changes have been found to be associated with MS fatigue. Atrophy in several structures of the brain[16],[17] and lesions located in the frontal and parietotemporal white matter[18] may contribute to the pathogenesis of fatigue. Connectivity changes in cortical and subcortical structures have been found in patients with MS fatigue.[19],[20] However, this pathophysiological knowledge has not been translated into therapeutic approaches for fatigue.

We recently reported that riluzole, a medication with anti-glutamatergic effects, increased the fatigue severity in patients with relapsing MS who had participated in a clinical trial evaluating potential neuroprotective effects of riluzole versus placebo.[21] Worsening fatigue severity was also observed in three trials of memantine (an N-methyl D-aspartate [NMDA] glutamate receptor blocker) for cognition in people with MS.[22]–[24] Taken together; these observations motivated us to hypothesize that glutamatergic transmission could play an important role in fatigue pathogenesis and that modulation of this pathways could have potential therapeutic effects on MS-related fatigue. This hypothesis is supported by secondary analyses of other glutamate modulating therapeutics in other disorders. Ketamine, an open-channel nonselective NMDA receptor antagonist, has a profound and rapid antidepressive effects.[25] These effects are mediated, in part, by increasing gluatamate release in the prefrontal cortex.[26],[27] In one trial of ketamine, versus placebo in patients with bipolar disorder, investigators found a fast and prolonged improvement of fatigue in participants who received ketamine.12 While the authors subsequently reported that the anti-fatigue effects of ketamine might have been mediated by its effect on improving depression[28], depression and fatigue are often highly correlated, and both symptoms commonly co-occur in people with MS.[29] Based on these observations, we conducted a pilot study to determine whether modulating glutamatergic pathways with ketamine is safe and efficacious for improving MS-related fatigue and if the anti-fatigue effects are related to the antidepressive effects of this medication.[2,10,11,14,23]

Materials and Methods

Study design and participants

This study was a pilot, randomized, double-blind, active-placebo controlled trial. Eligible subjects were randomized 2:1 to a single intravenous infusion of ketamine versus midazolam (a very short-acting benzodiazepine). We chose the 2:1 allocation ratio in favor of ketamine to encourage participation, as it was more likely for each participant to receive the active medication. Midazolam was used as an active placebo, so the sedative and psychomimetic effects of ketamine would not unblind the staff and the participants. Midazolam has a short half-life and does not have known fatigue-inducing effects. We limited our intervention to only one infusion, as there was no prior safety data of using ketamine in patients with MS, and we wanted to limit the exposure of patients to ketamine. We also did not know how long the possible therapeutic effects of ketamine would last, and timing a subsequent infusion was not possible. Patients were recruited through advertisements and physician referrals from the Johns Hopkins Multiple Sclerosis Center. Recruitment was initiated in February 2019 and completed in August 2019. Eligibility criteria included age 18–65 years, diagnosis of MS according to the 2010 McDonald criteria, able to ambulate (at least 20 feet with or without assistance), self-reported current fatigue and screening modified fatigue impact scale (MFIS) score >33, the ability to use a computer or tablet, and access to the internet and email. Patients were excluded if they had a Beck Depression Inventory (BDI) score of more than 30 at screening, history of other neurodegenerative diseases other than relapsing or progressive MS, were breastfeeding or pregnant, had uncontrolled hypertension at screening (history of high blood pressure and screening systolic blood pressure >160 or diastolic blood pressure>100), history of coronary artery disease, congestive heart failure, severe liver disease, recurrent seizure or epilepsy, history of prior ischemic or hemorrhagic stroke or cerebral vascular aneurysms, was being treated for malignancy, or had a history of alcohol or substance abuse in the past year. To minimize the risk of drug-drug interaction and improve the safety of participants, we excluded patients who were taking certain medications that could potentially interact with ketamine or midazolam (amantadine, anorexiants, anticonvulsants, monoamine oxidase inhibitors, chloral hydrate, oral or intravenous steroids, dextromethorphan, diphenhydramine, ketanserin, methyldopa, metyrosine, non-vitamin K antagonist oral anticoagulation agents, reserpine, scopolamine, St. John’s Wort and warfarin). Patients who were on a steady dose of a medication for fatigue treatment could continue with their medication during the study if it were not one of the prohibited medications. Participants were asked to avoid starting, stopping, or changing the dose of fatigue medications during their 28-day follow-up period.

Standard Protocol Approvals, Registrations, and Patient Consents

The study was conducted following local laws and regulations, the International Conference on Harmonization Guidelines for Good Clinical Practice, and the Declaration of Helsinki. The study protocol and its amendments were approved by The Johns Hopkins University Institutional Review Board. All participants provided written, informed consent before any study-related procedures were conducted. This study was registered with clinicaltrial.gov (NCT03500289).

Randomization and masking

Permuted block randomization, with block sizes of three or six in random order, was prepared by a Johns Hopkins University Investigational Drug Services pharmacist, using Windows Version 6.0 of randomization program “Rand.exe.” Study participants and personnel (except the pharmacist) were blinded to treatment allocation until all the participants finished the study procedures.

Procedures

The study intervention was a single intravenous infusion of ketamine (0.5 mg/kg) or midazolam (0.05 mg/kg) administered over 40 minutes. Ketamine and midazolam were diluted in 50 cc of 0.9% saline (for participants weighing less than 100 kg) or 100 cc of 0.9% saline (for participants weighing 100 kg or more). Eligible subjects received the study infusion during the screening visit. After the screening/infusion visit, all the study outcomes were collected remotely and through a web interface. Participants were asked open-ended and directed questions about the adverse events during and after the infusion, as well as on day seven- post-infusion (via email). The schedule for the study procedures and assessments is depicted in Table 1. Vital signs, including respiratory rate, heart rate, blood pressure, oxygen saturation, and heart rhythm were recorded before the start of the infusion and every 15 minutes until one hour after the end of infusion.

Table 1.

Study schedule and overview of assessments

Tests and assessments Study Visit
Screening Infusion visit Post-infusion days 1 – 7 Week 1
Post-infusion
Week 2
Post-infusion
Week 4
Post-infusion
Informed consent X
Inclusion/exclusion criteria X
Medical history X
Vital signs X X
Physical examination X
Urine pregnancy test X X
Ketamine/midazolam infusion
EDSS X
Daily Fatigue Severity X X X
MFIS X X
NeuroQoL Fatigue X X X X
FSS X X X X
Beck Depression Inventory X X X X
Epworth Sleepiness Scale X X X X
Side effects assessment X X X X

EDSS: Expanded Disability Status Scale; FSS: fatigue severity scale; MFIS: modified fatigue impact scale

Study outcomes

We used several patient-reported fatigue, sleepiness, and depression questionnaires to assess the effects of ketamine up to 28 days post-infusion. As we assumed the anti-fatigue effects of ketamine would be highest early after the infusion (as suggested by post-hoc analyses from other ketamine trials12), we selected recalled Daily Fatigue Severity (DFS) during the first seven days post-infusion, as the primary outcome of the study. It is a single-item question: “How much fatigue (tiredness, weariness, problems thinking clearly) have you felt today?” with responses ranging from 0 “None at all” to 10 “Extreme Fatigue”.[30] The email with the link to the question was sent to the participants at or around 9 pm. We selected this scale because more traditional, validated and recommended fatigue scales that are commonly used in MS-related fatigue studies have a look-back period of 7 to 28 days, and, therefore, may not detect possible immediate anti-fatigue effects of ketamine. As secondary outcomes, we included the longer-term validated assessments of fatigue severity in people with MS after appropriate look-back periods (e.g., 7 or 28 days). These assessments included: 1) quality of life for neurological disorders (Neuro-QoL) fatigue item short-form, 2) Fatigue Severity Scale (FSS), both at 7 and 14 days post-infusion, and 3) the modified fatigue impact scale (MFIS) and its component subscales (physical, cognitive, psychosocial), at 28 days post-infusion. Other secondary outcomes compared the effect of ketamine on depression (via Beck Depression Inventory [BDI]) and daytime sleepiness (via the Epworth Sleepiness Scale [ESS]) also at seven and fourteen days post-infusion.

Statistical analyses

With a two-sided alpha of 0.05, 12 participants in the ketamine group, and six participants in the midazolam group, the study would have 80% power to detect an average three points difference on the DFS score. However, the magnitude of ketamine effect on MS fatigue was not known, the best measure for MS-fatigue was not clear, and this was a pilot trial. For the analysis of the primary and secondary outcomes, we used a random-intercept linear mixed model with restricted maximum likelihood estimate and an unstructured covariance structure. Both the allocation group and time were within-subject covariates, and the interaction between them was included in the models. In sensitivity analyses, we further adjusted the fatigue models for change in BDI scores in order to separate potential antidepressive vs. anti-fatigue effects of ketamine. Because of the relatively limited sample size in the pilot study, additional sensitivity analyses applied generalized estimating equations to assess the effect of ketamine infusion on fatigue severity. All analyses were done according to the intention-to-treat principle; significance were evaluated at p<0.05, two-tailed. Analyses were conducted using R Ver 3.6.1 (Vienna, Austria) and Stata Ver 14 (StataCorp, College Station, TX).

Data Availability

An anonymized dataset, along with the study protocol will be shared by request from any qualified investigator, one year after the publication of the results.

Results

Study population

Eighteen subjects were screened for the study. All were eligible to participate and were randomized to the study drugs (12 ketamine, 6 midazolam) (Figure 1). All 18 participants completed all the study procedures. No MS relapses occurred during the study. The demographic and baseline variables of the participants are depicted in Table 2. Broadly, there were no differences in the baseline value between the groups; however, individuals randomized to ketamine infusion had significantly lower BDI scores (p=0.02) and tended to have lower ESS scores (0.09). Ten patients (83.3%) in the ketamine group and five patients (83.3%) in the midazolam group were on an MS disease modifying therapy (DMT) at the time of the infusion. In the ketamine group, four patients were on ocrelizumab, one patient on natalaizumab, two patients on dimethyl fumarate, one patient on teriflunomide, one patient on glatiramer acetate and one patient on interferon beta-1b. In the midazolam group, four patients were on ocrelizumab and one patient on alemtuzumab. There was no change in the DMT during the study.

figure 1.

figure 1.

Consort diagram.

Table 2.

Baseline characteristics of the study participants

Randomization group
Midalozam Ketamine P-value*
(n=6) (n=12)
Demographic and MS Characteristics
Age, years, mean (SD) 49 (8.4) 44 (12.4) 0.50
Age range, min-max 35 – 58 24 – 59
Male sex, n (%) 2 (41.7) 5 (33.3) 1.00
Non-white race, n (%) 1 (16.7) 3 (25.0) 0.39
MS Subtype 1.00
 Relapsing-remitting, n (%) 10 (83.3) 5 (83.3)
 Secondary progressive, n (%) 2 (16.7) 1 (16.7)
Current use of MS disease modifying therapy, n (%) 10 (83.3) 5 (83.3) 1.00
EDSS, median (IQR) 2.75 (2.12, 4.12) 2.0 (1.25, 3.50) 0.30
Baseline Fatigue and MS Symptom Characteristics
Ever use of fatigue medications*, n (%) 5 (83.3) 9 (75.0) 1.00
Current use of fatigue medication$, n (%) 1 (16.7) 2 (16.7) 1.00
Daily Fatigue score, median (IQR) 4.8 (2.8) 6.0 (2.2) 0.44
Total MFIS score, mean (SD) 48.4 (4.6) 44.0 (12.4) 0.67
 Physical MFIS score, mean (SD) 22.7 (2.1) 21.2 (5.1) 0.60
 Cognitive MFIS score, mean (SD) 20.5 (4.0) 21.8 (4.20 0.61
 Psychosocial MFIS score, mean (SD) 5.2 (1.3) 4.2 (1.3) 0.18
Fatigue severity score, mean (SD) 53.0 (5.9) 49.5 (7.8) 0.54
NeuroQoL Fatigue severity Tscore, mean (SD) 56.3 (8.1) 56.1 (3.9) 0.81
Beck Depression Inventory, mean (SD) 16.3 (2.9) 9.9 (5.4) 0.02
Epworth Sleepiness Scale, mean (SD) 9.7 (4.0) 6.5 (3.2) 0.09
*

P values are derived using non-parametric tests (Wilcoxon, Fisher’s exact), as appropriate.

$

MS fatigue medications, including amantadine, modafinil, armodafinil, and amphetamine-like psychostimulants

EDSS: Expanded Disability Status Scale; MFIS: modified fatigue impact scale

Primary outcome

The results of the models analyzing the primary and secondary outcomes of the study are depicted in Table 2. There was no difference in the trajectory of the Daily Fatigue Severity score during the first seven days, post-infusion between the ketamine and midazolam groups (time*intervention interaction p-value= 0.40). Adjustment for baseline BDI or Adjusting the models for the baseline or change from the baseline in the depression (BDI) scores did not change the results.

Secondary outcomes

The average MFIS score in the ketamine group decreased from 47.1 (SD: 5.9) on day 0 (pre-infusion) to 34.1 (SD: 13.7) on day 28 post-infusion, while the average MFIS score in the midazolam group remained unchanged (48.3 (SD: 4.5) on day 0 (pre-infusion) and 48.8 (SD: 10.3) on day 28 post-infusion). The observed difference in the rate of change between groups was statistically significant (Table 2; Figure 2; p=0.04). We observed consistent results for the effect of ketamine infusions on the physical and cognitive subscales of the MFIS (Table 2). Results were also largely consistent with observed changes in 7-day post-infusion FSS scores where participants randomized to ketamine infusions experienced a −5.18 (95% CI: −10.40, 0.14) potential change in FSS, while those randomized to midazolam did not a similar trend (mean change: 1.33; 95% CI: −6.16, 8.82). However, this difference in change did not attain statistical significance (p=0.06). We did not observe a change in NeuroQoL fatigue T-scores. Concerning other MS symptoms, ketamine infusion was not associated with a differential change in ESS or in BDI scores (both p>0.05).

figure 2.

figure 2.

Change in MFIS and relevant subscales associated with ketamine infusion.

For the FSS, NeuroQoL fatigue, ESS, and BDI, none of the models that included day 14 variables showed a statistically significant interaction of time*intervention. Adjusting the fatigue models for the baseline or change from the baseline in the depression (BDI) scores also did not change the results.

Adverse events

The adverse events (AEs) were collected during and up to one week after the infusion. AEs were all mild to moderate in intensity. There were no serious AEs. The list of all AEs is depicted in Table 4. The most commonly reported AEs in the ketamine group during and immediately after the infusion were euphoria/elevated mood (9/12), dizziness/lightheadedness (10/12), numbness/tingling in different body parts (10/12), impaired concentration/mental impairment/slowed thinking (7/12) and sleepiness/drowsiness (3/12). All the AEs were transient and resolved in the one-hour post-infusion observation period. In the first-week post-infusion, the AEs reported included: stiffness (1/12), impaired concentration/mental impairment (2/12), depression (1/12), fever/ feeling feverish (2/12). Five of six midazolam recipients reported sleepiness/drowsiness during the infusion, and one participant reported drowsiness at one week. The systolic blood pressure increased by at least 20 mm Hg during the infusion in six of 12 ketamine recipients. Four out of 12 participants in the ketamine group experienced a 25% increase in their systolic blood pressure during the infusion. In these four patients, the infusion was slowed down or temporarily stopped and resumed after the blood pressure reduced (generally in a few minutes).

Table 4.

The list of adverse events, during and up to one week after the infusion

Participants number Medication Adverse events during and in one hour after the infusion Severity Pre-infusion blood pressure Maximum blood pressure during and up to one-hour post infusion Adverse events up to one week after the infusion (assessed on day 7 post infusion) Severity
1 Ketamine Nausea Moderate 154/73 173/82 Stiffness Mild
Vomiting Mild
Euphoria Moderate
Dizziness Mild
Altered smell sensation Mild
2 Midazolam Sleepiness Mild 109/61 125/72 None
Slurred speech Mild
Chills Mild
3 Midazolam Sleepiness Mild 127/74 155/81 None
Wooziness Mild
Slurred speech Mild
Sedation Mild
4 Ketamine Relaxation Mild 123/62 141/81 Impaired Concentration Mild
Euphoria Mild Feverish Mild
Tingling in hands/feet Mild
Impaired concentration Mild
Increased appetite Mild
5 Ketamine Lightheadedness Mild 123/86 168/104 None
Sleepiness Mild
Lip numbness Mild
Generalized numbness Mild
6 Ketamine Lightheadedness Mild 126/84 149/92 Dizziness Mild
Dizziness Mild Tinnitus Mild
Impaired concentration Mild
Slowed thinking Mild
Euphoria Mild
Hand numbness Mild
Dry lips Mild
Speech disturbance Mild
7 Ketamine Drowsiness Mild 127/82 135/76 Insomnia Moderate
Visual disturbance Mild
Dizziness Mild
Increased salivation Mild
Numbness Mild
Headache Mild
8 Ketamine Feeling relaxed
Euphoria
Mild
Mild
131/80 168/79 None
Sensory abnormality Mild
Visual disturbance Mild
Leg numbness Mild
Loss of inhibition Mild
9 Midazolam Sleepiness Mild 111/73 105/66 None
Yawning Mild
10 Ketamine Lightheadedness Moderate 141/79 155/77 None
Euphoria Mild
Facial numbness Mild
Hot flushes Mild
11 Midazolam None 144/86 130/88 None
12 Ketamine Lightheadedness Mild 118/70 125/73 None
Leg numbness Mild
Facial numbness Mild
Flushing Mild
Foggy feeling in head Mild
Impaired concentration Mild
13 Ketamine Dizziness Mild 126/84 171/95 Fever Mild
Euphoria Mild
Drowsiness Mild
Impaired concentration Mild
Word finding difficulty Mild
Finger numbness Mild
14 Midazolam Drowsiness Mild 118/67 142/71 Drowsiness Mild
15 Ketamine Dizziness Mild 141/87 157/85 Mental Mild
Lightheadedness Mild impairment Depression Moderate
Dry mouth Mild Fatigue Mild
Flushing Mild
Restlessness Mild
Mental impairment Mild
Numbness Mild
Tremulousness Mild
Sensation of warmth Mild
Euphoria Mild
Impaired concentration Mild
Altered taste Mild
16 Ketamine Elevated mood Mild 145/82 178/86 None
Lightheadedness Mild
Dizziness Mild
Impaired concentration Mild
Euphoria Mild
Tinnitus Mild
17 Ketamine Giddiness Mild 109/67 143/83 None
Euphoria Mild
Transient alteration of awareness Mild
Face numbness Mild
Pain relief Mild
Tinnitus Mild
Impaired concentration Mild
Lightheadedness Mild
18 Midazolam Sleepiness Mild 127/76 122/69 None

Discussion

In this pilot, randomized, double-blind, active placebo-controlled trial, ketamine did not show statistically significant improvement in fatigue severity, as measured by a single question (Daily Fatigue Severity) up to seven days post-infusion. However, using traditional, comprehensive, validated, and recommended tools for assessing fatigue in MS, ketamine showed a trend in improving fatigue in one-week post-infusion (using FSS questionnaire) and a statistically significant improvement of fatigue as assessed by MFIS on day 28 post-infusion.

During the design phase of the study, although we hypothesized that ketamine would improve fatigue in MS, we did not know how long the therapeutic effect would last. We assumed that the daily measurement of fatigue would provide a better chance of showing the therapeutic effects of ketamine on MS fatigue (as opposed to measuring the outcome on days 7 or 28). However, all the traditional and well-validated fatigue measures in MS have a look-back period. For the FSS and NeuroQoL, the look-back period is seven days, and for the MFIS, the look-back period is 28 days. So, we could not use these instruments for daily fatigue measures and had to resort to a tool that has been less commonly used in MS research, and its psychometric properties, treatment-responsiveness, and minimal clinically-important change levels were not known. Ketamine did not show statistically significant improvement in the scores of this single question asking about the daily fatigue severity. But interestingly, there was a trend in change in the FSS score at one week, and the change from the baseline in the MFIS score at day 28 post-infusion was statistically significant. FSS and MFIS are commonly used fatigue measures in MS studies, have been extensively validated[31], and in the case of MFIS, has been recommended as the instrument of choice for the evaluation of fatigue in MS.[7] MFIS measures the impact of fatigue in multiple domains, including physical, cognitive, and psychosocial. Observing a major therapeutic effect of ketamine on the MFIS and its subdomains at day 28 and to a lesser extent on FSS at day seven, and no effect on the NeuroQoL and DFS during the first week, can have several explanations. It is possible that the anti-fatigue effects of ketamine in MS are delayed and more pronounced if measured several weeks after the infusion. It is also possible that MFIS has a broader coverage of different dimensions of fatigue.

Several groups have studied the minimally important difference of the FSS and MFIS in people with MS and other neurological diseases, such as Parkinson’s disease. A recent paper reported the minimal clinically important difference in the FSS and MFIS scores in patients with MS to be 0.45 and 4 points, respectively.[32] Another study reported the minimal clinically important difference (MCID) in the MFIS score in patients with Parkinson’s disease was 13.8.[33] The change from the baseline in both FSS (at one week) and MFIS (at day 28) in our study was greater than these minimally important differences reported in the literature. So, the effects of ketamine on the fatigue severity were not only statistically significant (in the case of FSS, a trend toward statistical significance); the effects might have been clinically meaningful too. Also, the difference in MFIS at day 28 (which was the most robust and significant finding) may point to the prolonged anti-fatigue effects of ketamine. Both physical and cognitive subscales of MFIS showed a statistically significant improvement in patients who received ketamine. However, the changes in physical subscale were more pronounced. Seeing improvement in both major subdomains of MFIS makes it less likely that the observed results are false positive.

It was reported that the anti-fatigue effect of ketamine in patients with a mood disorder might be mediated by its effects on improving depression.[28] In the current study, adjusting the fatigue models for the BDI scores did not change the results. In fact, we did not see robust antidepressive effects from ketamine in this study. However, significant differences in the baseline BDI scores (with the ketamine group having significantly lower depressive symptoms) might have contributed to these findings.

The adverse effects of ketamine were transient and mostly mild (with a few exceptions of moderate-degree AEs). Most participants who received ketamine reported temporary euphoria, dizziness/lightheadedness, numbness and tingling, impaired concentration /mental impairment during the infusion. All these AEs resolved during or in one-hour post-infusion. Interestingly, there was no report of dissociative symptoms in ketamine recipients. A short-lasting increase in the systolic blood pressure was seen in half of the ketamine recipients and necessitated slowing or temporarily stopping the infusion in four recipients. Transient increase in blood pressure is a known side effect of ketamine. We did not find any baseline characteristics that was associated with development of transient hypertension. In a study reporting the association of ketamine infusions with blood pressure increase in 66 patients with mood disorders, history of hypertension was associated with higher blood pressure peaks during the infusions. Blood pressure returned to baseline during the post-infusion monitoring in all patient. The authors characterized the blood pressure changes as small, well tolerated and insignificant.[34] In our trial, all participants completed the infusions. The ketamine infusion seemed to be safe and well-tolerated. Having said that, non-pharmacologic treatments, such as cognitive-behavioral therapy, are safe and efficacious for improving fatigue in MS.[35]

This study has several strengths and weaknesses. It was a randomized, double-blind trial. We also used an active placebo to reduce the possibility of unblinding.[36] A similar direction of change in the fatigue severity in multiple well-validated fatigue measures increases the possibility that ketamine might have a truly positive effect on MS-fatigue. However, the pilot nature of the study, the small sample size, and negative results on the primary outcome prevent us from drawing any firm conclusion regarding the therapeutic effects of ketamine. The primary outcome of the study (Daily Fatigue Score) was not a validated tool for MS fatigue research. We also did not correct our results for multiple hypothesis testing, as we considered this study to be a pilot. The above-mentioned imbalance in the baseline severity of depressive symptoms between the two groups might have affected the results and is one of the study weaknesses.

Although ketamine is a glutamate NMDA receptor blocker, it leads to glutamate release and increased glutamatergic transmission in the prefrontal cortex.[26] We had reported that long-term use of anti-glutamatergic agents such as riluzole and memantine might be associated with an increase in MS-related fatigue. An increase in the glutamatergic transmission with ketamine in this study showed that modulating glutamatergic transmission in the brain might be a target for the pharmacological treatment of MS-related fatigue. The potential anti-fatigue effects of ketamine, in this study, did not seem to be mediated by its antidepressive effects. Although the primary outcome of this study was negative, because ketamine infusion was associated with large, clinically significant and long-lasting changes in well-validated and multidimensional fatigue measures, we think these results can be the basis for performing a larger study of ketamine or other glutamate modulating agents for MS-related fatigue.

Table 3.

Change in fatigue and key MS symptoms severity

Randomization group P-value for the difference in the rate of change
Midazolam Ketamine
Change in daily fatigue severity, points/day (95% CI)* −0.05 (−0.14, 0.24) −0.05 (−0.19, 0.08) 0.40
Change in secondary outcomes, points/day (95% CI)
 FSS 0.19 (−0.88, 1.26) −0.74 (−1.49, 0.02) 0.06
 Neuro-QoL fatigue T-score −0.46 (−1.20, 0.27) −1.02 (−1.54, −0.50) 0.24
 MFIS total 0.02 (−0.35, 0.32) −0.46 (−0.23, − 0.70) 0.04
 MFIS physical 0.04 (−0.12, 0.19) −0.20 (−0.31, −0.09) 0.03
 MFIS cognitive 0.00 (−0.16, 0.16) −0.22 (−0.24, 0.11) 0.05
 MFIS psychosocial 0.02 (−0.07, 0.03) −0.04 (−0.07, 0.00) 0.52
Change in other MS symptoms, points/day (95% CI)
 BDI 0.07 (−0.33, 0.18) 0.07 (−0.25, 0.11) 1.00
 ESS 0.11 (−0.11, 0.32) 0.03 (−0.18, 0.12) 0.32

FSS: fatigue severity scale; MFIS: modified fatigue impact scale; BDI: Beck depression inventory, ESS: Epworth sleepiness scale.

*

Rates of change are derived from mixed effects models.

Funding:

This study was supported by NMSS pilot grant PP-1709-29142 to BN and by support from the Race to Erase Multiple Sclerosis Foundation. KCF is supported by 1K01MH121582-01 from NIH/NIMH and TA-1805-31136 from the National MS Society.

References

  • 1.Krupp L Fatigue is intrinsic to multiple sclerosis (MS) and is the most commonly reported symptom of the disease. Mult. Scler 2006; 12(4):367–368. [DOI] [PubMed] [Google Scholar]
  • 2.Lerdal A, Celius EG, Krupp L, Dahl AA. A prospective study of patterns of fatigue in multiple sclerosis. Eur. J. Neurol 2007; 14(12):1338–1343. [DOI] [PubMed] [Google Scholar]
  • 3.Janardhan V, Bakshi R. Quality of life in patients with multiple sclerosis: the impact of fatigue and depression. J. Neurol. Sci 2002; 205(1):51–58. [DOI] [PubMed] [Google Scholar]
  • 4.Blaney DBE, Lowe-Strong A. The impact of fatigue on communication in multiple sclerosis. The insider’s perspective. Disability and Rehabilitation. 2009; 31(3):170–180. [DOI] [PubMed] [Google Scholar]
  • 5.Smith MM, Arnett PA. Factors related to employment status changes in individuals with multiple sclerosis. Mult. Scler 2005; 11(5):602–609. [DOI] [PubMed] [Google Scholar]
  • 6.Toosy A, Ciccarelli O, Thompson A. Symptomatic treatment and management of multiple sclerosis. Handb Clin Neurol. 2014; 122:513–562. [DOI] [PubMed] [Google Scholar]
  • 7.Braley TJ, Chervin RD. Fatigue in Multiple Sclerosis: Mechanisms, Evaluation, and Treatment. Sleep 2010; 33(8):1061–1067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Nourbakhsh B, Revirajan N, Waubant E. Treatment of fatigue with methylphenidate, modafinil and amantadine in multiple sclerosis (TRIUMPHANT-MS): Study design for a pragmatic, randomized, double-blind, crossover clinical trial. Contemp Clin Trials. 2018; 64:67–76. [DOI] [PubMed] [Google Scholar]
  • 9.Gottschalk M, Kümpfel T, Flachenecker P, et al. Fatigue and regulation of the hypothalamo-pituitary-adrenal axis in multiple sclerosis. Arch. Neurol 2005; 62(2):277–280. [DOI] [PubMed] [Google Scholar]
  • 10.Gold SM, Krüger S, Ziegler KJ, et al. Endocrine and immune substrates of depressive symptoms and fatigue in multiple sclerosis patients with comorbid major depression. J. Neurol. Neurosurg. Psychiatry 2011; 82(7):814–818. [DOI] [PubMed] [Google Scholar]
  • 11.Dantzer R, O’Connor JC, Freund GG, Johnson RW, Kelley KW. From inflammation to sickness and depression: when the immune system subjugates the brain. Nat. Rev. Neurosci 2008; 9(1):46–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hanken K, Eling P, Hildebrandt H. The representation of inflammatory signals in the brain - a model for subjective fatigue in multiple sclerosis. Front Neurol. 2014; 5:264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Powell DJH, Moss-Morris R, Liossi C, Schlotz W. Circadian cortisol and fatigue severity in relapsing-remitting multiple sclerosis. Psychoneuroendocrinology. 2015; 56:120–131. [DOI] [PubMed] [Google Scholar]
  • 14.Heesen C, Nawrath L, Reich C, et al. Fatigue in multiple sclerosis: an example of cytokine mediated sickness behaviour? J. Neurol. Neurosurg. Psychiatry 2006; 77(1):34–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Veauthier C, Hasselmann H, Gold SM, Paul F. The Berlin Treatment Algorithm: recommendations for tailored innovative therapeutic strategies for multiple sclerosis-related fatigue. EPMA J. 2016; 7:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Pellicano C, Gallo A, Li X, et al. Relationship of cortical atrophy to fatigue in patients with multiple sclerosis. Arch. Neurol 2010; 67(4):447–453. [DOI] [PubMed] [Google Scholar]
  • 17.Yaldizli Ö, Penner I-K, Frontzek K, et al. The relationship between total and regional corpus callosum atrophy, cognitive impairment and fatigue in multiple sclerosis patients. Mult. Scler 2014; 20(3):356–364. [DOI] [PubMed] [Google Scholar]
  • 18.Sepulcre J, Masdeu JC, Goñi J, et al. Fatigue in multiple sclerosis is associated with the disruption of frontal and parietal pathways. Mult. Scler 2009; 15(3):337–344. [DOI] [PubMed] [Google Scholar]
  • 19.Finke C, Schlichting J, Papazoglou S, et al. Altered basal ganglia functional connectivity in multiple sclerosis patients with fatigue. Mult. Scler 2015; 21(7):925–934. [DOI] [PubMed] [Google Scholar]
  • 20.Pravatà E, Zecca C, Sestieri C, et al. Hyperconnectivity of the dorsolateral prefrontal cortex following mental effort in multiple sclerosis patients with cognitive fatigue. Mult. Scler 2016; 22(13):1665–1675. [DOI] [PubMed] [Google Scholar]
  • 21.Nourbakhsh B, Revirajan N, Waubant E. Association Between Glutamate Blockade and Fatigue in Patients With Multiple Sclerosis. JAMA Neurol. 2015; 72(11):1374–1375. [DOI] [PubMed] [Google Scholar]
  • 22.Peyro Saint Paul L, Creveuil C, Heinzlef O, et al. Efficacy and safety profile of memantine in patients with cognitive impairment in multiple sclerosis: A randomized, placebo-controlled study. J. Neurol. Sci 2016; 363:69–76. [DOI] [PubMed] [Google Scholar]
  • 23.Lovera JF, Frohman E, Brown TR, et al. Memantine for cognitive impairment in multiple sclerosis: a randomized placebo-controlled trial. Mult. Scler 2010; 16(6):715–723. [DOI] [PubMed] [Google Scholar]
  • 24.Villoslada P, Arrondo G, Sepulcre J, Alegre M, Artieda J. Memantine induces reversible neurologic impairment in patients with MS. Neurology. 2009; 72(19):1630–1633. [DOI] [PubMed] [Google Scholar]
  • 25.Zarate CA, Singh JB, Carlson PJ, et al. A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression. Arch. Gen. Psychiatry 2006; 63(8):856–864. [DOI] [PubMed] [Google Scholar]
  • 26.Abdallah CG, De Feyter HM, Averill LA, et al. The effects of ketamine on prefrontal glutamate neurotransmission in healthy and depressed subjects. Neuropsychopharmacology. 2018; 43(10):2154–2160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Zanos P, Gould TD. Mechanisms of Ketamine Action as an Antidepressant. Mol Psychiatry 2018; 23(4):801–811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Saligan LN, Farmer C, Ballard ED, Kadriu B, Zarate CA. Disentangling the association of depression on the anti-fatigue effects of ketamine. J Affect Disord. 2019; 244:42–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kroencke DC, Lynch SG, Denney DR. Fatigue in multiple sclerosis: relationship to depression, disability, and disease pattern. Mult Scler. 2000; 6(2):131–136. [DOI] [PubMed] [Google Scholar]
  • 30.Powell DJH, Liossi C, Schlotz W, Moss-Morris R. Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights. J Behav Med. 2017; 40(5):772–783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Flachenecker P, Kümpfel T, Kallmann B, et al. Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters. Mult Scler. 2002; 8(6):523–526. [DOI] [PubMed] [Google Scholar]
  • 32.Rooney S, McFadyen DA, Wood DL, Moffat DF, Paul PL. Minimally important difference of the fatigue severity scale and modified fatigue impact scale in people with multiple sclerosis. Multiple Sclerosis and Related Disorders. 2019; 35:158–163. [DOI] [PubMed] [Google Scholar]
  • 33.Kluger BM, Garimella S, Garvan C. Minimal clinically important difference of the Modified Fatigue Impact Scale in Parkinson’s disease. Parkinsonism Relat. Disord 2017; 43:101–104. [DOI] [PubMed] [Google Scholar]
  • 34.Riva-Posse P, Reiff CM, Edwards JA, et al. Blood pressure safety of subanesthetic ketamine for depression: A report on 684 infusions. J Affect Disord 2018; 236:291–297. [DOI] [PubMed] [Google Scholar]
  • 35.Chalah MA, Ayache SS. Cognitive behavioral therapies and multiple sclerosis fatigue: A review of literature. J Clin Neurosci. 2018; 52:1–4. [DOI] [PubMed] [Google Scholar]
  • 36.Wilkinson ST, Farmer C, Ballard ED, et al. Impact of midazolam vs. saline on effect size estimates in controlled trials of ketamine as a rapid-acting antidepressant. Neuropsychopharmacology. 2019; 44(7):1233–1238. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

An anonymized dataset, along with the study protocol will be shared by request from any qualified investigator, one year after the publication of the results.

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