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Evaluation of at-home options for N95 blocking facepiece respirator decontamination.
Aims To ascertain the effect of SARS-CoV-2 on the utilisation of antibacterial agents and analgesics in primary dental care.Methods Antibacterial agents and analgesics (eg paracetamol, aspirin) prescribed in England by general dental practitioners for the periods April-July 2019 and April-July 2020 were analysed.Results Antibacterial agents prescribed during COVID-19 restrictions in 2020 (799,282) were higher than a similar time period in 2019 (654,332) by 22%. Amoxicillin was used the most (2020 = 65.0%; 2019 = 66.3%) followed by metronidazole (2020 = 30.2%; 2019 = 28.7%). Erythromycin was prescribed at a similar rate, with lincosamides (clindamycin) prescribed more frequently in 2020 (2020 = 0.6%; 2019 = 0.5%). Clarithromycin was prescribed twice more often in 2020 (0.6%) in comparison to 2019 (0.3%). Co-amoxiclav (0.5%) and phenoxymethylpenicillin (0.3%) were prescribed at a similar rate. Analgesics use increased by 84% (2020 = 28,563; 2019 = 15,507). Use of dihydrocodeine tartrate increased (2020 = 40.9%; 2019 = 32.9%), followed by diclofenac sodium (2020 = 24.6%; 2019 = 12.8%). The opposite trend was seen in relation to ibuprofen with use decreasing (2020 = 19.4%; 2019 = 39.8%) while paracetamol use only slightly increasing (2020 = 15.1%; 2019 = 14.6%).Conclusions COVID-19 restrictions on dental care in England resulted in a marked increase in prescribing antibacterial agents and a very marked increase in prescription-only analgesics.Low reward responsiveness (RR) is associated with poor psychological well-being, psychiatric disorder risk, and psychotropic treatment resistance. Functional MRI studies have reported decreased activity within the brain's reward network in individuals with RR deficits, however the neurochemistry underlying network hypofunction in those with low RR remains unclear. This study employed ultra-high field glutamate chemical exchange saturation transfer (GluCEST) imaging to investigate the hypothesis that glutamatergic deficits within the reward network contribute to low RR. GluCEST images were acquired at 7.0 T from 45 participants (ages 15-29, 30 females) including 15 healthy individuals, 11 with depression, and 19 with psychosis spectrum symptoms. The GluCEST contrast, a measure sensitive to local glutamate concentration, was quantified in a meta-analytically defined reward network comprised of cortical, subcortical, and brainstem regions. Associations between brain GluCEST contrast and Behavioral Activation System Scale RR scores were assessed using multiple linear regressions. Analyses revealed that reward network GluCEST contrast was positively and selectively associated with RR, but not other clinical features. TED-347 Follow-up investigations identified that this association was driven by the subcortical reward network and network areas that encode the salience of valenced stimuli. We observed no association between RR and the GluCEST contrast within non-reward cortex. This study thus provides new evidence that reward network glutamate levels contribute to individual differences in RR. Decreased reward network excitatory neurotransmission or metabolism may be mechanisms driving reward network hypofunction and RR deficits. These findings provide a framework for understanding the efficacy of glutamate-modulating psychotropics such as ketamine for treating anhedonia.Childhood is an important time for the manifestation of psychopathology. Psychopathology is characterized by considerable comorbidity which is mirrored in the underlying neural correlates of psychopathology. Both common and dissociable variations in brain volume have been found across multiple mental disorders in adult and youth samples. However, the majority of these studies used samples with broad age ranges which may obscure developmental differences. The current study examines associations between regional gray matter volumes (GMV) and psychopathology in a large sample of children with a narrowly defined age range. We used data from 9607 children 9-10 years of age collected as part of the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®). A bifactor model identified a general psychopathology factor that reflects common variance across disorders and specific factors representing internalizing symptoms, ADHD symptoms, and conduct problems. Brain volume was acquired using 3T MRI. After correction for multiple testing, structural equation modeling revealed nearly global inverse associations between regional GMVs and general psychopathology and conduct problems, with associations also found for ADHD symptoms (pfdr-values ≤ 0.048). Age, sex, and race were included as covariates. Sensitivity analyses including total GMV or intracranial volume (ICV) as covariates support this global association, as a large majority of region-specific results became nonsignificant. Sensitivity analyses including income, parental education, and medication use as additional covariates demonstrate largely convergent results. These findings suggest that globally smaller GMVs are a nonspecific risk factor for general psychopathology, and possibly for conduct problems and ADHD as well.Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is aberrant responses to frustrative nonreward. Here, we conducted a preliminary fMRI study to examine the ability of functional connectivity during frustrative nonreward to predict irritability in a transdiagnostic sample. This study included 69 youths (mean age = 14.55 years) with varying levels of irritability across diagnostic groups disruptive mood dysregulation disorder (n = 20), attention-deficit/hyperactivity disorder (n = 14), anxiety disorder (n = 12), and controls (n = 23). During fMRI, participants completed a frustrating cognitive flexibility task. Frustration was evoked by manipulating task difficulty such that, on trials requiring cognitive flexibility, "frustration" blocks had a 50% error rate and some rigged feedback, while "nonfrustration" blocks had a 10% error rate. Frustration and nonfrustration blocks were randomly interspersed. Child and parent reports of the affective reactivity index were used as dimensional measures of irritability. Connectome-based predictive modeling, a machine learning approach, with tenfold cross-validation was conducted to identify networks predicting irritability. Connectivity during frustration (but not nonfrustration) blocks predicted child-reported irritability (ρ = 0.24, root mean square error = 2.02, p = 0.03, permutation testing, 1000 iterations, one-tailed). Results were adjusted for age, sex, medications, motion, ADHD, and anxiety symptoms. The predictive networks of irritability were primarily within motor-sensory networks; among motor-sensory, subcortical, and salience networks; and between these networks and frontoparietal and medial frontal networks. This study provides preliminary evidence that individual differences in irritability may be associated with functional connectivity during frustration, a phenotype-relevant state.Orphan G protein Coupled Receptors (GPCRs) present attractive targets both for understanding neuropsychiatric diseases and for development of novel therapeutics. GPR139 is an orphan GPCR expressed in select brain circuits involved in controlling movement, motivation and reward. It has been linked to the opioid and dopamine neuromodulatory systems; however, its role in animal behavior and neuropsychiatric processes is poorly understood. Here we present a comprehensive behavioral characterization of a mouse model with a GPR139 null mutation. We show that loss of GPR139 in mice results in delayed onset hyperactivity and prominent neuropsychiatric manifestations including elevated stereotypy, increased anxiety-related traits, delayed acquisition of operant responsiveness, disruption of cued fear conditioning and social interaction deficits. Furthermore, mice lacking GPR139 exhibited complete loss of pre-pulse inhibition and developed spontaneous 'hallucinogenic' head-twitches, altogether suggesting schizophrenia-like symptomatology. Remarkably, a number of these behavioral deficits could be rescued by the administration of μ-opioid and D2 dopamine receptor (D2R) antagonists naltrexone and haloperidol, respectively, suggesting that loss of neuropsychiatric manifestations in mice lacking GPR139 are driven by opioidergic and dopaminergic hyper-functionality. The inhibitory influence of GPR139 on D2R signaling was confirmed in cell-based functional assays. These observations define the role of GPR139 in controlling behavior and implicate in vivo actions of this receptor in the neuropsychiatric process with schizophrenia-like pathology.Neurobiological markers of future susceptibility to posttraumatic stress disorder (PTSD) may facilitate identification of vulnerable individuals in the early aftermath of trauma. Variability in resting-state networks (RSNs), patterns of intrinsic functional connectivity across the brain, has previously been linked to PTSD, and may thus be informative of PTSD susceptibility. The present data are part of an initial analysis from the AURORA study, a longitudinal, multisite study of adverse neuropsychiatric sequalae. Magnetic resonance imaging (MRI) data from 109 recently (i.e., ~2 weeks) traumatized individuals were collected and PTSD and depression symptoms were assessed at 3 months post trauma. We assessed commonly reported RSNs including the default mode network (DMN), central executive network (CEN), and salience network (SN). We also identified a proposed arousal network (AN) composed of a priori brain regions important for PTSD the amygdala, hippocampus, mamillary bodies, midbrain, and pons. Primary analysk needed to understand neural markers of long-term (e.g., 12 months post trauma) dysfunction. Furthermore, these findings are consistent with neural models suggesting that decreased top-down cortico-limbic regulation and increased network-mediated fear generalization may contribute to ongoing dysfunction in the aftermath of trauma.The effects of common antidepressants on suicidal ideation (SI) is unclear. In the landmark STAR*D trial antidepressants were effective for Major Depressive Disorder (MDD) in early treatment phases, but less effective in later phases. The effects of antidepressants on SI across the entire sample of the STAR*D trial has never been investigated. We performed a secondary analysis of the STAR*D data with the primary outcome of change in score on the suicide item (item three) of the Hamilton Rating Scale for Depression (HRSD17) across all four study levels. We used descriptive statistics and logistic regression analyses. Pearson correlation was used for change in SI versus change in depression (HRSD16). Reduction in mean (SD) SI was greater in levels one 0.29 (±0.78) (p  less then  0.001) and two 0.26 (±0.88) (p  less then  0.001) than in levels three 0.16 (±0.92) (p = 0.005) and four 0.18 (±0.93) (p = 0.094). A history of past suicide attempts (OR 1.72, p = 0.007), comorbid medical illness (OR 2.23, p = 0.005), and a family history of drug abuse (OR 1.
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