Absence of early mood improvement as a robust predictor of rTMS nonresponse in major depressive disorder.

BACKGROUND: Symptoms of major depressive disorder (MDD) are reported to change early in treatment with repetitive transcranial magnetic stimulation (rTMS). We evaluated early changes in sleep, anxiety, and mood as predictors of nonresponse to rTMS treatment. METHODS: Three hundred twenty-nine subjects with nonpsychotic MDD completed a 6-week course of rTMS treatment. Subjects were stratified by the severity of their baseline depression, and had their overall depressive symptoms recorded every week of treatment. We evaluated lack of improvement in sleep, anxiety, and mood symptoms after 1 and 2 weeks as potential predictors of eventual nonresponse, defined as <50% improvement in compositive depressive symptoms after 6 weeks. This was measured as negative predictive value (NPV; the likelihood that lack of early symptom improvement accurately predicted eventual treatment nonresponse). RESULTS: Subjects with severe or very severe baseline depression achieving <20% improvement in mood at 1 week were correctly predicted as nonresponders with NPVs largely >90%. At 2 weeks, subjects with very severe baseline depression who failed to demonstrate any improvement in mood were all nonresponders. Lack of improvement in sleep at 2 weeks was also a significant predictor. CONCLUSIONS: Identifying a lack of early mood improvement is a practical and robust method to predict rTMS nonresponse. This suggests a treatment protocol change may be indicated in patients with more severe baseline depression showing minimal early mood improvement.

Management challenges in patients with comorbid COVID-19 associated delirium and serious mental illness - A case series.

BACKGROUND: There is still a lot unknown about the novel Coronavirus Disease 19 (COVID-19) and its effects in humans. This pandemic has posed several challenging clinical situations to healthcare providers. OBJECTIVE: We hope to highlight the distinctive challenges that COVID-19 presents in patients with serious mental illness and what steps primary medical teams can take to co-manage these patients with the psychiatry consultants. METHODS: We present a retrospective chart review of four patients who were on psychotropic polypharmacy and admitted to our hospital from the same long-term psychiatric facility with COVID-19 delirium and other associated medical complications. RESULTS: We illustrate how the primary medical teams and psychiatrists collaborated in clinical diagnosis, treatment, and management. CONCLUSIONS: Patients with serious mental illness and COVID-19 infection require active collaboration between primary medical teams and psychiatrists for diagnostic clarification, reduction of psychotropic polypharmacy to avoid adverse effects and drug-drug interactions, prevention of psychiatric decompensation, and active management of agitation while balancing staff and patient safety concerns.

Sleep quality, neurocognitive performance, and memory self-appraisal in middle-aged and older adults with memory complaints.

OBJECTIVE: Because of inconsistent findings regarding the relationship between sleep quality and cognitive function in people with age-related memory complaints, we examined how self-reports of sleep quality were related to multiple domains of both objective and subjective cognitive function in middle-aged and older adults. DESIGN: A cross-sectional study involving analysis of baseline data, collected as part of a clinical trial. MEASUREMENTS: Two hundred and three participants (mean age = 60.4 [6.5] years, 69.0% female) with mild memory complaints were asked to rate their sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and their memory performance using the Memory Functioning Questionnaire (MFQ), which measures self-awareness of memory ability. Neurocognitive performance was evaluated using the Continuous Performance Test (CPT), Trail Making Test, Buschke Selective Reminding Test, and the Brief Visuospatial Test - Revised (BVMT-R). RESULTS: Total PSQI scores were significantly associated with objective measures of sustained attention (CPT hit reaction time by block and standard error by block) and subjective memory loss (MFQ frequency and seriousness of forgetting). The PSQI components of (poorer) sleep quality and (greater) sleep disturbance were related to (worse) sustained attention scores while increased sleep latency and daytime sleepiness were associated with greater frequency and seriousness of forgetting. CONCLUSIONS: Sleep quality is related to both objective measures of sustained attention and self-awareness of memory decline. These findings suggest that interventions for improving sleep quality may contribute not only to improving the ability to focus on a particular task but also in reducing memory complaints in middle-aged and older adults.

Pomegranate Metabolites Impact Tryptophan Metabolism in Humans and Mice.

BACKGROUND: We showed that pomegranate juice (PomJ) can help to maintain memory in adults aged >50 y. The mechanism for this effect is unknown, but might involve Trp and its metabolites, which are important in brain function. OBJECTIVES: We aimed to test the hypothesis that PomJ and its metabolites ellagic acid (EA) and urolithin A (UA) affect Trp metabolism. METHODS: Stool and plasma from a cohort [11 PomJ, 9 placebo drink (PL)] of subjects enrolled in our double-blind, placebo-controlled trial (NCT02093130) were collected at baseline and after 1 y of PomJ or PL consumption. In a mouse study, cecum and serum were collected from DBA/2J mice receiving 8 wk of dietary 0.1% EA or UA supplementation. Trp metabolites and intestinal microbiota were analyzed by LC-MS and 16S rRNA gene sequencing, respectively. RESULTS: In the human study, the change in the plasma Trp metabolite indole propionate (IPA) over 1 y was significantly different between PomJ and PL groups (P = 0.03). In serum of experimental mice, we observed a 230% increase of IPA by EA but not UA, a 54% increase of indole sulfate by UA but not EA, and 43% and 34% decreases of kynurenine (KYN) by EA and UA, respectively. In cecum, there was a 32% decrease of Trp by UA but not EA, and an 86% decrease of KYN by EA but not UA (P < 0.05). The abundance of 2 genera, Shigella and Catenibacterium, was reduced by PomJ in humans as well as by UA in mice, and their abundance was negatively associated with blood IPA in humans and mice (P < 0.05). CONCLUSIONS: These results suggest a novel mechanism involving the regulation of host and microbial Trp metabolism that might contribute to the health benefits of ellagitannins and EA-enriched food, such as PomJ.

Challenges faced by mental health providers and patients during the coronavirus 2019 pandemic due to technological barriers.

BACKGROUND: The novel coronavirus, SARS-CoV-2, has been responsible for the devastation of hundreds of thousands of lives directly and has caused disruptions globally. Vulnerable populations, specifically those suffering from serious mental illness and homelessness, are at higher risk of contracting COVID-19 infection resulting in medical complications and psychiatric destabilization. In addition, mental health has become increasingly relevant throughout the country given the psychological distress people have been facing due to the spread of COVID-19 and the toll of a more restricted way of living. Although the healthcare industry has quickly integrated novel ways of treating patients with mental illness with technological advances, these technologies are not applicable to different populations equally. There is a clear disparity that is represented within the public county health systems, which leads to a widening gap between those who receive adequate treatment for mental illness and those who do not. AIMS: The aims of this paper were to provide a commentary on the benefits of technology-based psychiatric and psychological interventions based off experience in a public health system and based off a relevant, thorough literature review. In addition, we aim to highlight the importance of accessibility of these interventions for vulnerable populations and provide recommendations for integrating these services expeditiously. METHODS: Literature review was conducted using MEDLINE, PubMed and Google Scholar. CONCLUSIONS: Based off data collected from experience in a public health system and literature review, we conclude that although the COVID-19 pandemic has initiated significant innovation to integrate technology for psychiatric care, this innovation is not equally accessible for vulnerable populations suffering from mental health disorders. Within a public county health system, there are barriers with providing mental healthcare to vulnerable populations. These barriers, which are applicable throughout the United States, serve as a rationale for the need of innovative solutions for the integration of these services in not only emergency situations such as the COVID-19 pandemic, but also in daily non-emergent operations to sufficiently address the needs for those needing mental healthcare.