A randomized feasibility trial of the modified Atkins diet in older adults with mild cognitive impairment due to Alzheimer's disease.

Background: Alzheimer's disease (AD) is increasing in prevalence, but effective treatments for its cognitive impairment remain severely limited. This study investigates the impact of ketone body production through dietary manipulation on memory in persons with mild cognitive impairment due to early AD and explores potential mechanisms of action. Methods: We conducted a 12-week, parallel-group, controlled feasibility trial of a ketogenic diet, the modified Atkins diet (MAD), compared to a control diet in patients with cognitive impairments attributed to AD. We administered neuropsychological assessments, including memory tests, and collected blood samples at baseline and after 12 weeks of intervention. We performed untargeted lipidomic and targeted metabolomic analyses on plasma samples to detect changes over time. Results: A total of 839 individuals were screened to yield 38 randomized participants, with 20 assigned to receive MAD and 18 assigned to receive a control diet. Due to attrition, only 13 in the MAD arm and nine in the control arm were assessed for the primary endpoint, with two participants meeting ketosis levels used to define MAD adherence criteria. The average change from baseline in the Memory Composite Score was 1.37 (95% CI: -0.87, 4.90) points higher in the MAD group compared to the control group. The effect size of the intervention on baseline MAD change was moderate (Cohen's D = 0.57, 95% CI: -0.67, 1.33). In the 15 participants (nine MAD, six control) assessed for lipidomic and metabolomic-lipidomics and metabolomics, 13 metabolites and 10 lipids showed significant changes from baseline to 12 weeks, including triacylglycerols (TAGs, 50:5, 52:5, and 52:6), sphingomyelins (SM, 44:3, 46:0, 46:3, and 48:1), acetoacetate, fatty acylcarnitines, glycerol-3-phosphate, and hydroxy fatty acids. Conclusions: Attrition was greatest between baseline and week 6. All participants retained at week 6 completed the study. Despite low rates of adherence by criteria defined a priori, lipidomic and metabolomic analyses indicate significant changes from baseline in circulating lipids and metabolites between MAD and control participants at 12-week postrandomization, and MAD participants showed greater, albeit nonsignificant, improvement in memory.

Changes in lipids and inflammation in adults with super-refractory status epilepticus on a ketogenic diet.

Introduction: This study aims to test the hypothesis that increased ketone body production resulting from a ketogenic diet (KD) will correlate with reductions in pro-inflammatory cytokines and lipid subspecies and improved clinical outcomes in adults treated with an adjunctive ketogenic diet for super-refractory status epilepticus (SRSE). Methods: Adults (18 years or older) were treated with a 4:1 (fat: carbohydrate and protein) ratio of enteral KD as adjunctive therapy to pharmacologic seizure suppression in SRSE. Blood and urine samples and clinical measurements were collected at baseline (n = 10), after 1 week (n = 8), and after 2 weeks of KD (n = 5). In addition, urine acetoacetate, serum ß-hydroxybutyrate, lipidomics, pro-inflammatory cytokines (IL-1ß and IL-6), chemokines (CCL3, CCL4, and CXCL13), and clinical measurements were obtained at these three time points. Univariate and multivariate data analyses were performed to determine the correlation between ketone body production and circulating lipids, inflammatory biomarkers, and clinical outcomes. Results: Changes in lipids included an increase in ceramides, mono-hexosylceramide, sphingomyelin, phosphocholine, and phosphoserines, and there was a significant reduction in pro-inflammatory mediators, IL-6 and CXCL13, seen at 1 and 2 weeks of KD. Higher blood ß-hydroxybutyrate levels at baseline correlated with better clinical outcomes; however, ketone body production did not correlate with other variables during treatment. Higher chemokine CCL3 levels following treatment correlated with a longer stay in the intensive care unit and a higher modified Rankin Scale score (worse neurologic disability) at discharge and 6-month follow up. Discussion: Adults receiving an adjunctive enteral ketogenic diet for super-refractory status epilepticus exhibit alterations in select pro-inflammatory cytokines and lipid species that may predict their response to treatment.

Predictors of elevations in fasting lipid levels in adults with epilepsy on a modified Atkins diet.

BACKGROUND: Ketogenic diet therapies can improve seizure control in patients with drug-resistant epilepsy (DRE). The current study investigated whether dietary fat composition is associated with elevations in serum lipid levels in adults with epilepsy who began a modified Atkins diet (MAD). METHODS: Adults with DRE were instructed to follow the MAD. Food records collected at baseline and follow-up were analyzed to extract median daily macro- and micronutrient composition. Total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, triglyceride (TG), high-density lipoprotein (HDL) cholesterol, non-HDL and TC/HDL ratio were measured at baseline and follow-up. RESULTS: Study participants initiating MAD showed higher fat intake at 1 month (p<0.001) and 2 months (p<0.001) and lower carbohydrate intake at 1 month (p<0.001) and 2 months (p<0.001) compared to baseline. Study participants also showed higher intake of cholesterol (p<0.001), saturated fatty acid (p<0.001) and monounsaturated fatty acid (p<0.001) over time. Following MAD initiation, study participants showed significant increases in levels of TC (p = 0.007), LDL (p<0.001), and non-HDL (p = 0.009) over time. Dietary intake variables, including cholesterol and fat subtypes, were significantly associated with difference in 1 month TC and LDL levels from baseline but not absolute 1 month lipid values. In a sub-analysis, participants with baseline dyslipidemia showed smaller changes in lipid values during diet use. CONCLUSIONS: Adults with DRE starting MAD increased fat intake, particularly saturated and monounsaturated fat subtypes, and reduced carbohydrate intake. Changes in TC and LDL levels 1 month after MAD initiation are associated with dietary intake of cholesterol and fat.

Utilization of the ketogenic diet for adults with status epilepticus.

BACKGROUND: The ketogenic diet (KD) is a high-fat, low-carbohydrate diet with therapeutic potential in refractory seizures, both in outpatient and inpatient settings. Successful implementation of KD involves a multifaceted, interdisciplinary approach to address anticipated challenges. We sought to characterize the utilization of KD among healthcare providers caring for adults with status epilepticus (SE). METHODS: We distributed a web-based survey through professional societies, including the American Academy of Neurology (AAN), Neurocritical Care Society (NCS), American Epilepsy Society (AES), Neuro Anesthesia and Critical Care Society (NACCS), and the Academy of Nutrition and Dietetics (AND), and via research contacts. We asked respondents about practice experience and experience using KD as a treatment for SE. Descriptive statistics and Chi-square tests were used to analyze the results. RESULTS: Of 156 respondents, 80% of physicians and 18% of non-physicians reported experience with KD for SE. Anticipated difficulty in achieving ketosis (36.3%), lack of expertise (24.2%), and lack of resources (20.9%) were identified as the most important barriers limiting the utilization of KD. The absence of dietitians (37.1%) or pharmacists (25.7%) support was the most important missing resource. Reasons for stopping KD included perceived ineffectiveness (29.1%), difficulty achieving ketosis (24.6%), and side effects (17.3%). Academic centers had more experience with the use of KD and greater EEG monitoring availability and fewer barriers to its implementation. The need for randomized clinical trials supporting efficacy (36.5%) and better practice guidelines for implementation and maintenance of KD (29.6%) were cited most frequently as factors to increase utilization of KD. CONCLUSION: This study identifies important barriers to the utilization of KD as a treatment for SE despite evidence supporting its efficacy in the appropriate clinical context, namely lack of resources and interdisciplinary support, and lack of established practice guidelines. Our results highlight the need for future research to improve understanding of the efficacy and safety of KD along with better interdisciplinary collaborations to increase its utilization.

The effect of anti-seizure medications on lipid values in adults with epilepsy.

PURPOSE: Certain anti-seizure medications (ASMs) adversely impact lipid values. Here, we explored the impact of ASMs on lipid values in adults with epilepsy. METHODS: A total of 228 adults with epilepsy were divided into four groups based on ASMs used: strong EIASMs, weak EIASMs, non-EIASMs, and no ASMs. Demographic information, epilepsy-specific clinical history, and lipid values were obtained through chart review. RESULTS: While there was no significant difference in lipid values between groups, there was a significant difference in the proportion of participants with dyslipidemia. Specifically, more participants exhibited elevated low-density lipoprotein (LDL) level in the strong EIASM group compared to the non-EIASM group (46.7% vs 18%, p < 0.05). In addition, more participants showed elevated LDL level in the weak EIASM group compared to the non-EIASM group (38% vs 18%, p < 0.05). Users of strong EIASMs showed greater odds of high LDL level (OR 5.734, p = 0.005) and high total cholesterol level (OR 4.913, p = 0.008) compared to users of non-EIASMs. When we analyzed the impact of individual ASMs used by more than 15% of the cohort on lipid levels, participants using valproic acid (VPA) showed lower high-density lipoprotein (p = 0.002) and higher triglyceride levels (p = 0.002) compared to participants not using VPA. CONCLUSION: Our study demonstrated a difference in the proportion of participants with dyslipidemia between ASM groups. Thus, adults with epilepsy using EIASMs should have careful monitoring of lipid values to address the risk of cardiovascular disease.

Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation.

BACKGROUND AND OBJECTIVES: Seizures (SZs) and other SZ-like patterns of brain activity can harm the brain and contribute to in-hospital death, particularly when prolonged. However, experts qualified to interpret EEG data are scarce. Prior attempts to automate this task have been limited by small or inadequately labeled samples and have not convincingly demonstrated generalizable expert-level performance. There exists a critical unmet need for an automated method to classify SZs and other SZ-like events with expert-level reliability. This study was conducted to develop and validate a computer algorithm that matches the reliability and accuracy of experts in identifying SZs and SZ-like events, known as "ictal-interictal-injury continuum" (IIIC) patterns on EEG, including SZs, lateralized and generalized periodic discharges (LPD, GPD), and lateralized and generalized rhythmic delta activity (LRDA, GRDA), and in differentiating these patterns from non-IIIC patterns. METHODS: We used 6,095 scalp EEGs from 2,711 patients with and without IIIC events to train a deep neural network, SPaRCNet, to perform IIIC event classification. Independent training and test data sets were generated from 50,697 EEG segments, independently annotated by 20 fellowship-trained neurophysiologists. We assessed whether SPaRCNet performs at or above the sensitivity, specificity, precision, and calibration of fellowship-trained neurophysiologists for identifying IIIC events. Statistical performance was assessed by the calibration index and by the percentage of experts whose operating points were below the model's receiver operating characteristic curves (ROCs) and precision recall curves (PRCs) for the 6 pattern classes. RESULTS: SPaRCNet matches or exceeds most experts in classifying IIIC events based on both calibration and discrimination metrics. For SZ, LPD, GPD, LRDA, GRDA, and "other" classes, SPaRCNet exceeds the following percentages of 20 experts-ROC: 45%, 20%, 50%, 75%, 55%, and 40%; PRC: 50%, 35%, 50%, 90%, 70%, and 45%; and calibration: 95%, 100%, 95%, 100%, 100%, and 80%, respectively. DISCUSSION: SPaRCNet is the first algorithm to match expert performance in detecting SZs and other SZ-like events in a representative sample of EEGs. With further development, SPaRCNet may thus be a valuable tool for an expedited review of EEGs. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that among patients with epilepsy or critical illness undergoing EEG monitoring, SPaRCNet can differentiate (IIIC) patterns from non-IIIC events and expert neurophysiologists.

EEG Correlates of Qualitative Hypermetabolic FDG-PET in Patients With Neurologic Disorders.

Background and Objectives: Case reports and case series have described fluorodeoxyglucose (FDG)-PET findings in critically ill patients with rhythmic or periodic EEG patterns, with one reporting that metabolic activity increases with increasing lateralized periodic discharge (LPD) frequency. However, larger studies examining the relationship between FDG-PET hypermetabolism and rhythmic or periodic EEG patterns are lacking. The goal of this study was to investigate the association of FDG-PET hypermetabolism with electroencephalographic features in patients with neurologic disorders. Methods: This was a single-center, retrospective study of adult patients admitted with acute neurologic symptoms who underwent FDG-PET imaging and EEG monitoring within 24 hours. Subjects were divided into 2 groups based on their FDG-PET metabolism pattern: hypermetabolic activity vs hypometabolic or normal metabolic activity. Chi-square tests and logistic regression were used to determine the relationship of FDG-PET metabolism and EEG findings. Results: Sixty patients met the inclusion criteria and underwent 63 FDG-PET studies and EEGs. Twenty-seven studies (43%) showed hypermetabolism while 36 studies (57%) showed either hypometabolism or no abnormalities on FDG-PET. Subjects with hypermetabolic FDG-PET were more likely to have electrographic seizures (44% vs 8%, p = 0.001) and LPDs with/without seizures (44% vs 14%, p = 0.007), but not other rhythmic or periodic EEG patterns (lateralized rhythmic delta activity, generalized periodic discharges, or generalized rhythmic delta activity). Subjects with hypermetabolism and LPDs were more likely to have concurrent electrographic seizures (58% vs 0%, p = 0.03), fast activity associated with the discharges (67% vs 0, p = 0.01), or spike morphology (67% vs 0, p = 0.03), compared with subjects with hypometabolic FDG-PET and LPDs. Discussion: Adults admitted with acute neurologic symptoms who had hypermetabolic FDG-PET were more likely to show electrographic seizures and LPDs, but not other rhythmic or periodic EEG patterns, compared with those with hypometabolic FDG-PET. Subjects with hypermetabolic FDG-PET and LPDs were more likely to have LPDs with concurrent electrographic seizures, LPDs with a spike morphology, and LPDs +F, compared with subjects with hypometabolic FDG-PET.

Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs.

BACKGROUND AND OBJECTIVES: The validity of brain monitoring using electroencephalography (EEG), particularly to guide care in patients with acute or critical illness, requires that experts can reliably identify seizures and other potentially harmful rhythmic and periodic brain activity, collectively referred to as "ictal-interictal-injury continuum" (IIIC). Previous interrater reliability (IRR) studies are limited by small samples and selection bias. This study was conducted to assess the reliability of experts in identifying IIIC. METHODS: This prospective analysis included 30 experts with subspecialty clinical neurophysiology training from 18 institutions. Experts independently scored varying numbers of ten-second EEG segments as "seizure (SZ)," "lateralized periodic discharges (LPDs)," "generalized periodic discharges (GPDs)," "lateralized rhythmic delta activity (LRDA)," "generalized rhythmic delta activity (GRDA)," or "other." EEGs were performed for clinical indications at Massachusetts General Hospital between 2006 and 2020. Primary outcome measures were pairwise IRR (average percent agreement [PA] between pairs of experts) and majority IRR (average PA with group consensus) for each class and beyond chance agreement (κ). Secondary outcomes were calibration of expert scoring to group consensus, and latent trait analysis to investigate contributions of bias and noise to scoring variability. RESULTS: Among 2,711 EEGs, 49% were from women, and the median (IQR) age was 55 (41) years. In total, experts scored 50,697 EEG segments; the median [range] number scored by each expert was 6,287.5 [1,002, 45,267]. Overall pairwise IRR was moderate (PA 52%, κ 42%), and majority IRR was substantial (PA 65%, κ 61%). Noise-bias analysis demonstrated that a single underlying receiver operating curve can account for most variation in experts' false-positive vs true-positive characteristics (median [range] of variance explained ([Formula: see text]): 95 [93, 98]%) and for most variation in experts' precision vs sensitivity characteristics ([Formula: see text]: 75 [59, 89]%). Thus, variation between experts is mostly attributable not to differences in expertise but rather to variation in decision thresholds. DISCUSSION: Our results provide precise estimates of expert reliability from a large and diverse sample and a parsimonious theory to explain the origin of disagreements between experts. The results also establish a standard for how well an automated IIIC classifier must perform to match experts. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that an independent expert review reliably identifies ictal-interictal injury continuum patterns on EEG compared with expert consensus.

Impact of the COVID-19 Pandemic on the Behavioral Health of People With Intellectual and Developmental Disabilities.

OBJECTIVE: The authors examined how the COVID-19 pandemic affected the behavioral health of people with intellectual and developmental disabilities (IDD). METHODS: A modified version of the Coronavirus Health Impact Survey-Adapted for Autism and Related Neurodevelopmental Conditions was sent to the authors' clinical networks and IDD-affiliated organizations from March to June 2021. RESULTS: In total, 437 people with IDD or their caregivers responded to the survey. Diagnoses included intellectual disability (51%) and autism spectrum disorder (48%). More than half (52%) of respondents reported worsened mental health. Losing access to services correlated with declining mental health. Interventions suggested to improve behavioral health included more time with friends and family (68%), more time outdoors (61%), and access to community activities (59%). CONCLUSIONS: COVID-19 affected the behavioral health of individuals with IDD. Survey results highlight the opportunity to leverage physical activity and pandemic-safe social supports as accessible means to mitigate gaps in services.

Dynamic training of a novelty classifier algorithm for real-time detection of early seizure onset.

OBJECTIVE: To develop an adaptive framework for seizure detection in real-time that is practical to use in the Epilepsy Monitoring Unit (EMU) as a warning signal, and whose output helps characterize epileptiform activity. METHODS: Our algorithm was tested on intracranial EEG from epilepsy patients admitted to the EMU for presurgical evaluation. Our framework uses a one-class Support Vector Machine (SVM) that is being trained dynamically according to past activity in all available channels to classify the novelty of the current activity. In this study we compared multiple configurations using a one-class SVM to assess if there is significance over specific neural features or electrode locations. RESULTS: Our results show that the algorithm reaches a sensitivity of 87% for early-onset seizure detection and of 97.7% as a generic seizure detection. CONCLUSIONS: Our algorithm is capable of running in real-time and achieving a high performance for early seizure-onset detection with a low false positive rate and robustness in detection of different type of seizure-onset patterns. SIGNIFICANCE: This algorithm offers a solution to warning systems in the EMU as well as a tool for seizure characterization during post-hoc analysis of intracranial EEG data for surgical resection of the epileptogenic network.

Six-month effects of modified Atkins diet implementation on indices of cardiovascular disease risk in adults with epilepsy.

BACKGROUND/AIMS: Ketogenic diet therapies (KDTs) offer a needed therapeutic option for patients with drug-resistant epilepsy. The current study investigated biochemical and anthropometric indices of cardiovascular disease (CVD) risk in adults with epilepsy treated with KDT over 6 months. METHOD: 65 adults with epilepsy naïve to diet therapy were enrolled in a prospective longitudinal study and instructed on modified Atkins diet (MAD) use. Seizure frequency, anthropometric measures, blood levels of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, apolipoproteins A1 and B, and lipoprotein sub-fractions were assessed at baseline, 3 months, and 6 months. RESULTS: Subsequent to study enrollment, 34 participants were lost to follow-up, elected not to start, or stopped MAD prior to study completion, leaving a total of 31 participants in the study at 6 months. Compared to baseline, participants on MAD showed significant reductions in median seizure frequency/week, weight, body mass index, waist and hip circumference, and percent body fat at 3 and 6 months. Compared to baseline, participants on MAD for 3 months showed significantly increased levels of total, small and medium LDL particles, ApoB and ApoB/A1 ratio. At 6 months, only small LDL particles and ApoB levels remained elevated and levels of ApoA1 had risen, suggesting possible compensatory adaptation over time. CONCLUSIONS: This study provides evidence demonstrating the efficacy and cardiovascular safety of 6 months of MAD use by adults with epilepsy. It also highlights an index of CVD risk - small LDL particles - that should be closely monitored.Trial registration: ClinicalTrials.gov identifier: NCT02694094..

International Recommendations for the Management of Adults Treated With Ketogenic Diet Therapies.

OBJECTIVE: To evaluate current clinical practices and evidence-based literature to establish preliminary recommendations for the management of adults using ketogenic diet therapies (KDTs). METHODS: A 12-topic survey was distributed to international experts on KDTs in adults consisting of neurologists and dietitians at medical institutions providing KDTs to adults with epilepsy and other neurologic disorders. Panel survey responses were tabulated by the authors to determine the common and disparate practices between institutions and to compare these practices in adults with KDT recommendations in children and the medical literature. Recommendations are based on a combination of clinical evidence and expert opinion regarding management of KDTs. RESULTS: Surveys were obtained from 20 medical institutions with >2,000 adult patients treated with KDTs for epilepsy or other neurologic disorders. Common side effects reported are similar to those observed in children, and recommendations for management are comparable with important distinctions, which are emphasized. Institutions differ with regard to recommended biochemical assessment, screening, monitoring, and concern for long-term side effects, and further investigation is warranted to determine the optimal clinical management. Differences also exist between screening and monitoring practices among adult and pediatric providers. CONCLUSIONS: KDTs may be safe and effective in treating adults with drug-resistant epilepsy, and there is emerging evidence supporting the use in other adult neurologic disorders and general medical conditions as well. Therefore, expert recommendations to guide optimal care are critical as well as further evidence-based investigation.

Applications of Ketogenic Diets in Patients with Headache: Clinical Recommendations.

Headaches are among the most prevalent and disabling neurologic disorders and there are several unmet needs as current pharmacological options are inadequate in treating patients with chronic headache, and a growing interest focuses on nutritional approaches as non-pharmacological treatments. Among these, the largest body of evidence supports the use of the ketogenic diet (KD). Exactly 100 years ago, KD was first used to treat drug-resistant epilepsy, but subsequent applications of this diet also involved other neurological disorders. Evidence of KD effectiveness in migraine emerged in 1928, but in the last several year's different groups of researchers and clinicians began utilizing this therapeutic option to treat patients with drug-resistant migraine, cluster headache, and/or headache comorbid with metabolic syndrome. Here we describe the existing evidence supporting the potential benefits of KDs in the management of headaches, explore the potential mechanisms of action involved in the efficacy in-depth, and synthesize results of working meetings of an Italian panel of experts on this topic. The aim of the working group was to create a clinical recommendation on indications and optimal clinical practice to treat patients with headaches using KDs. The results we present here are designed to advance the knowledge and application of KDs in the treatment of headaches.

Ketogenic Diet Therapy for the Treatment of Post-encephalitic and Autoimmune-Associated Epilepsies.

Introduction: Acute Encephalitis is associated with a high risk of acute symptomatic seizures, status epilepticus, and remote symptomatic epilepsy. Ketogenic diet therapies (KDT) have been established as a feasible and safe adjunctive management of refractory- and super-refractory status epilepticus. However, the role of KDT in the chronic management of Post-encephalitic epilepsy (PE) and autoimmune-associated epilepsy (AE) is unknown. This study aims to investigate the use of KDT in patients with PE and AE. Methods: A retrospective single-center case series examining adult patients with PE and AE treated with the modified Atkins diet (MAD), a KDT commonly used by adults with drug-resistant epilepsy. Results: Ten patients with PE and AE who were treated with adjunctive MAD were included. Four patients had either confirmed or presumed viral encephalitis, five patients had seronegative AE, and one patient had GAD65 AE. The median latency between starting MAD and onset of encephalitis was 6 years (IQR: 1-10). The median duration of MAD was 10 months (IQR: 3.75-36). Three patients (30%) became seizure-free, one patient (10%) achieved 90% seizure freedom, and three patients (30%) achieved a 50-75% reduction in their baseline seizure frequency, while three patients (30%) had no significant benefit. Overall, seven patients (70%) achieved ≥50% seizure reduction. Conclusion: In addition to its established role in the treatment of RSE, KDT may be a safe and feasible option for the treatment of chronic PE and AE, particularly in those with prior history of SE. Prospective studies are warranted to explore the efficacy of KDT in management of patients with PE and AE.

Ketogenic Diet Therapy for Epilepsy Associated With Aicardi Syndrome.

INTRODUCTION: Aicardi syndrome is a rare neurodevelopmental disorder associated with epilepsy in females. Ketogenic diet therapy represents a possible nonpharmacologic treatment in Aicardi syndrome patients. METHODS: All patients with Aicardi syndrome seen at Johns Hopkins Hospital (Baltimore, MD) and Johns Hopkins All Children's Hospital (St Petersburg, FL) treated with ketogenic diet therapy since 1994 were evaluated retrospectively. RESULTS: Fifteen patients, ages 4 months to 34 years, were identified. Ten (67%) patients experienced a ≥50% seizure reduction after 3 months, with 3 (20%) having a ≥90% reduction. Only 1 patient was seizure-free for a short period of time. The number of drugs tried prior to ketogenic diet therapy initiation was correlated with ≥50% seizure reduction at 3 months, 5.8 vs 2.6 in responders versus nonresponders (P = .01). In addition, the mean number of drugs actively received also correlated, 3.0 vs 1.2, P = .005. Ketogenic diet therapy was slightly more successful in those without infantile spasms, 78% vs 50%, P = .33. CONCLUSION: Ketogenic diet therapy was helpful in Aicardi syndrome, although seizure freedom was rare. It was especially helpful for those who were more drug-resistant and did not have infantile spasms at ketogenic diet therapy onset.

The Feasibility and Tolerability of Medium Chain Triglycerides in Women with a Catamenial Seizure Pattern on the Modified Atkins Diet.

Ketogenic diet therapy (KDT), particularly modified Atkins diet (MAD), is increasingly recognized as a treatment for adults with epilepsy. Women with epilepsy (WWE) comprise 50% of people with epilepsy and approximately one in three have catamenial epilepsy. The purpose of this study was to determine whether adding a medium chain triglyceride emulsion to MAD to target catamenial seizures was feasible and well-tolerated. This was a prospective two-center study of pre-menopausal WWE with a catamenial seizure pattern on MAD. After a 1-month baseline interval with no changes in treatment, participants consumed betaquik® (Vitaflo International Ltd.) for 10 days each menstrual cycle starting 2 days prior to and encompassing the primary catamenial seizure pattern for five cycles. Participants recorded seizures, ketones, and menses, and completed surveys measuring tolerability. Sixteen women aged 20-50 years (mean 32) were enrolled and 13 (81.2%) completed the study. There was 100% adherence for consuming betaquik® in the women who completed the study and overall intervention adherence rate including the participants that dropped out was 81.2%. The most common side effects attributed to MAD alone prior to starting betaquik® were constipation and nausea, whereas abdominal pain, diarrhea, and nausea were reported after adding betaquik®. The high adherence rate and acceptable tolerability of betaquik® shows feasibility for future studies evaluating KDT-based treatments for catamenial seizures.