Citations

ABSTRACTBackgroundInsomnia and substance use disorders (SUD) are common comorbidities of bipolar disorder (BD). Genome‐wide association studies (GWAS) have uncovered shared genetic contributions to insomnia and BD as well as SUDs and BD. Electronic health record (EHR) derived phenotypes (phecodes) and questionnaire data were used to examine the relationship between insomnia genetic liability and SUDs in BD.Methods40,839 participants from the Mayo Clinic Bipolar Disorder Biobank (BD Biobank; n = 774) and Mayo Clinic Biobank (n = 485 BD cases, n = 39,580 controls) were included in the analyses of diagnosis (phecode) outcomes (insomnia, SUD, alcohol use disorder [AUD] and tobacco use disorder [TUD]). Analyses of specific SUD outcomes obtained through the BD Biobank questionnaire included 1789 cases and considered BD subtype. Logistic regression was used to test for associations between insomnia polygenic risk scores (PRS) and insomnia and SUD outcomes in BD cases and controls.ResultsInsomnia PRS was associated with having an insomnia diagnosis (phecode) in the EHR in controls (OR = 1.19, p = 9.64e‐33) but not in BD cases (OR = 1, p = 0.95). Associations between insomnia PRS and SUD diagnoses were significant in BD cases and controls, with the association being stronger in BD cases (interaction p = 0.024). In the BD Biobank data, the insomnia PRS was associated with increased odds of AUD (OR = 1.19, p = 4.26e‐04), TUD (OR = 1.21, p = 1.25e‐05) and cannabis use disorder (OR = 1.16, p = 4.19e‐03).ConclusionThe effect of genetic predisposition to insomnia on SUD risk may be stronger in BD cases than in controls, which could have clinical care implications for individuals with BD and comorbid SUD.

AbstractThe rates of opioid use and opioid related deaths are escalating in the United States. Despite this, evidence-based treatments for Opioid Use Disorder are underutilized. There are three medications FDA approved for treatment of Opioid Use Disorder: Methadone, Buprenorphine, and Naltrexone. This article reviews the history, criteria, and mechanisms associated with Opioid Use Disorder. Pertinent pharmacology considerations, treatment strategies, efficacy, safety, and challenges of Methadone, Buprenorphine, and Naltrexone are outlined. Lastly, a practical decision making algorithm is discussed to address pertinent psychiatric and medical comorbidities when prescribing pharmacology for Opioid Use Disorder.

Abstract Introduction Meta-analytic studies support that insomnia is a risk factor for cognitive decline and dementia, but limited accounting of confounders reduces their validity. Further, it is unclear whether these associations are driven by specific insomnia phenotypes. In this study, we aimed to assess the relationship between insomnia and longitudinal global cognitive decline in community-dwelling older adults after considering self-reported sleep duration changes and other important characteristics. Methods From the Mayo Clinic Study of Aging (MCSA) cohort, we identified all (age>=50yo) cognitively unimpaired participants at baseline without comorbid neurological disease with at least two previous comprehensive neuropsychological evaluations. Participants with at least two occurrences of insomnia ICD diagnosis (by EMR and Rochester Epidemiological Project data) at least 30 days apart were classified as having insomnia, and those without any instance of diagnosis were considered negative for insomnia. Changes in sleep duration were assessed using the question #16 of BDI-2 and categorized in reduced sleep (yes/no). We fit mixed-effect regression models to assess whether insomnia was associated with standardized global cognitive scores, after adjusting for age, sex, education, APOEe4, composite cardiovascular and metabolic conditions scores, anxiety/depression, reduced sleep, OSA (ICD diagnosis), alcoholism (CAGE≥2), and pain (NSAIDs use). Number of cognitive assessments and time from baseline were included as both fixed and random effects. Multiple interactions (e.g. insomnia*reduced sleep) were included. A backward stepwise procedure maintaining the hierarchical principal for interactions was utilized to reach the most parsimonious models. Results 3063 participants (50.24% males, aged 70±9.73 at baseline) were included. Insomnia alone was not associated with a decrease in global cognition, but when combined with subjective reduction in sleep duration at baseline it was associated with a -0.19 (95% CI: -0.32, -0.07; interaction p=0.01) reduction in global cognitive scores. This was equivalent to approximately 3 additional years of age or 6 cardiometabolic comorbidities at baseline. The effect size was greater than those associated with baseline cognition for having any APOE e4 allele (-0.12) and alcoholism (-0.15). Conclusion Insomnia with reduced sleep duration phenotype is a potentially modifiable risk factor for cognitive decline in older adults. Further studies with objective sleep measures are necessary for objective confirmation. Support (if any) NIA/NIH

Abstract Introduction Studies that have resulted in recent approval of hypnotics for chronic insomnia disorder (CID) have extremely restrictive inclusion criteria. We sought to determine how many patients seen in a sleep medicine clinic would be eligible to participate in these trials in order to assess the generalizability of these findings to clinical populations. Methods Six-hundred and twenty-eight patients were screened to identify 100 patients who were ≥18 years old, had a diagnosis of CID, and were prescribed a hypnotic medication at a sleep medicine clinic in a quaternary level healthcare center. Information regarding age, sex, body mass index, comorbid diagnoses, sleep schedule, medications, alcohol/tobacco/illicit drug use, caffeine intake, as well as Epworth Sleepiness Scale, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Insomnia Severity Index scores were abstracted. These data were compared against the inclusion and exclusion criteria for recent regulatory Phase III trials of orexin receptor antagonists (suvorexant, lemborexant, daridorexant). Results Of the 100 patients with CID (mean age=56.2 years; 57% female), only 3 patients met eligibility criteria for inclusion. A majority of patients (80%) would have been excluded due to a prior/concurrent trial of cognitive behavioral therapy for insomnia. If this criterion was set aside, only 11 patients would have been eligible to participate. The remaining top reasons for potential exclusion from the regulatory trials were: presence of medical comorbidities (36%), daytime napping (33%), and sleep apnea (30%). Conclusion A very small number of patients with CID seen in a clinical setting met eligibility criteria for clinical trials of hypnotic medications resulting in regulatory approval. This substantially limits the generalizability of findings from these trials and restricts our ability to determine the efficacy of these drugs in clinical populations. Future trials should enroll patients with less restrictive criteria to help determine the effectiveness of these medications in real world settings. Support (if any)

AbstractAimsBrain-derived neurotrophic factor (BDNF) levels may be associated with alcohol use disorders (AUD) and alcohol consumption, correlate with sleep disturbance and be influenced by sex differences and sex hormones. These associations have not been examined in a single sample accounting for all these factors.MethodsData from 190 participants (29.4% female) with AUD were utilized. Sleep quality, craving intensity, depression, anxiety and alcohol consumption were assessed using the Pittsburgh Sleep Quality Index (PSQI), Penn Alcohol Craving Scale (PACS), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7) and Timeline Follow Back for 90 days(TLFB 90). Inventory of Drug Taking Situations (IDTS) assessed the tendency to drink in positive/negative emotional states. Serum BDNF (sBDNF) and plasma sex hormones (estrogen, progesterone, testosterone, FSH and SHBG) were measured. Pearson correlation analyses were used to examine the association between sBDNF and these measures in the entire sample and in men and women separately. Higher order interaction effects between these factors were evaluated for their association with sBDNF using a backward selection model.ResultsNo significant correlations between sBDNF levels and sex hormones, PSQI, PHQ-9, PACS, IDTS scores and alcohol consumption were found (all P-values > 0.05). sBDNF levels were negatively correlated with GAD-7 scores in men (r = −0.1841; P = 0.03). When considering all quadratic and two-way interactions among PSQI, PHQ-9, GAD-7, mean and max drinks/day, number of drinking days, heavy drinking days, and sex no higher order moderating effects of sBDNF levels were found.ConclusionOur study revealed no significant associations between sBDNF and alcohol measures, sleep, depression and sex hormones suggesting limited utility as a biomarker.

AbstractBackground and ObjectivesPatients increasingly rely on the Internet for healthcare information. This study aimed to evaluate the quality of videos on 3,4‐methylenedioxymethamphetamine (MDMA)‐assisted psychotherapy for posttraumatic stress disorder (PTSD) on YouTube™.MethodsYouTube™ was searched for the terms “MDMA” and “PTSD.” The 100 most viewed videos were analyzed using three standard quality measures: Global Quality Scores (GQS), JAMA benchmark, and DISCERN. Viewer engagement features and source of upload, video duration, inclusion of patient narrative and/or MD/DO/PhD, the mention of lack of Food and Drug Administration (FDA) approval, side effects, potential for abuse, and use in conjunction with psychotherapy were recorded.ResultsThe videos were of poor quality (mean GQS: 2.26 ± 0.94/5, JAMA: 1.96 ± 0.45/4, and DISCERN: 29.5 ± 8.2/80). A significant positive association was found between video quality and duration (GQS: r = .5857, p < .0001, JAMA: r = .279, p = .0409, DISCERN: r = .5783, p < .0001). Videos including an MD/DO/PhD had the highest scores (GQS: 2.87/5 [1.22], p = .006, DISCERN: 38.35/80 [13.32], p < .0003). A minority of videos were uploaded by academic institutions (1%); most were from professional organizations (29%). No correlation was found between quality and viewer engagement features‐number of views, subscribers, likes/dislikes, or comments. A majority mentioned that MDMA must be used in conjunction with psychotherapy (85%) and is not FDA‐approved (82%) for PTSD. Only 32% of videos mentioned risks or potential for abuse.ConclusionsThese findings highlight the need for better quality of online health material and an opportunity for involvement of healthcare professionals in the dissemination of accurate health information via content creation.Scientific SignificanceThis is the first study to examine publicly available information on the use of MDMA for PTSD.

Introduction Cognitive behavioural therapy for insomnia (CBT-I) is effective at treating chronic insomnia, yet in-person CBT-I can often be challenging to access. Prior studies have used technology to bridge barriers but have been unable to extensively assess the impact of the digital therapeutic on real-world patient experience and multidimensional outcomes. Among patients with insomnia, our aim is to determine the impact of a prescription digital therapeutic (PDT) (PEAR-003b, FDA-authorised as Somryst; herein called PDT) that provides mobile-delivered CBT-I on patient-reported outcomes (PROs) and healthcare utilisation. Methods and analysis We are conducting a pragmatically designed, prospective, multicentre randomised controlled trial that leverages Hugo, a unique patient-centred health data-aggregating platform for data collection and patient follow-up from Hugo Health. A total of 100 participants with insomnia from two health centres will be enrolled onto the Hugo Health platform, provided with a linked Fitbit (Inspire 2) to track activity and then randomised 1:1 to receive (or not) the PDT for mobile-delivered CBT-I (Somryst). The primary outcome is a change in the insomnia severity index score from baseline to 9-week postrandomisation. Secondary outcomes include healthcare utilisation, health utility scores and clinical outcomes; change in sleep outcomes as measured with sleep diaries and a change in individual PROs including depressive symptoms, daytime sleepiness, health status, stress and anxiety. For those allocated to the PDT, we will also assess engagement with the PDT. Ethics and dissemination The Institutional Review Boards at Yale University and the Mayo Clinic have approved the trial protocol. This trial will provide important data to patients, clinicians and policymakers about the impact of the PDT device delivering CBT-I on PROs, clinical outcomes and healthcare utilisation. Findings will be disseminated to participants, presented at professional meetings and published in peer-reviewed journals. Trial registration number NCT04909229 .