516 research outputs found

    Acute exacerbation of psychiatric symptoms during influenza treatment with oseltamivir in chronic schizophrenia

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    AbstractInfluenza treatment and prophylaxis with oseltamivir are critically important in reducing the morbidity and mortality of patients in chronic psychiatric facilities. Abnormal behavior, delusions, perceptual disturbances, mania, and depression have all been reported as oseltamivir-related psychiatric side effects. We hereby report two chronic schizophrenia patients in Taiwan manifesting psychiatric instability who were being treated with oseltamivir for suspected influenza infection, and further discuss other potential contributing factors. The possibility that oseltamivir can cause psychotic or affective symptoms suggests that additional caution is necessary for its use in patients with an established psychiatric diagnosis

    A reduced risk of stroke with lithium exposure in bipolar disorder: a population‐based retrospective cohort study

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/115969/1/bdi12336.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/115969/2/bdi12336_am.pd

    A close association of body cell mass loss with disease activity and disability in Chinese patients with rheumatoid arthritis

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    OBJECTIVES: To investigate the association of body cell mass loss with disease activity and disability in rheumatoid arthritis patients. INTRODUCTION: Rheumatoid cachexia, defined as the loss of body cell mass, is important but under-recognized and contributes to morbidity and mortality in patients with rheumatoid arthritis. METHODS: One hundred forty-nine rheumatoid arthritis patients and 53 healthy, non-rheumatoid arthritis control subjects underwent anthropometric measurements of body mass index and waist and hip circumferences. Bioelectrical impedance analysis was used to determine the subjects' body compositions, including fat mass, skeletal lean mass, and body cell mass. The disease activity of rheumatoid arthritis was assessed using C-reactive protein serum, the erythrocyte sedimentation rate and the 28-joint disease activity score, while disability was evaluated using a health assessment questionnaire. RESULTS: Rheumatoid arthritis patients had lower waist-to-hip ratio (0.86 ± 0.07 vs. 0.95 ± 0.06; p<0.001) and lower skeletal lean mass indexes (14.44 ±1.52 vs. 15.18 ± 1.35; p = 0.002) than those in the healthy control group. Compared with rheumatoid arthritis patients with higher body cell masses, those with body cell masses lower than median had higher erythrocyte sedimentation rates (40.10 ± 27.33 vs. 25.09 ± 14.85; p<0.001), higher disease activity scores (5.36 ± 3.79 vs. 4.23 ± 1.21; p = 0.022) and greater disability as measured by health assessment questionnaire scores (1.26 ± 0.79 vs. 0.87 ± 0.79; p = 0.004). CONCLUSIONS: The loss of body cell mass is associated with higher disease activity and greater disability in rheumatoid arthritis patients. Body composition determined by bioelectrical impedance analysis can provide valuable information for a rheumatologist to more rapidly recognize rheumatoid cachexia in rheumatoid arthritis patients

    DSENT - A Tool Connecting Emerging Photonics with Electronics for Opto-Electronic Networks-on-Chip Modeling

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    With the advent of many-core chips that place substantial demand on the NoC, photonics has been investigated as a promising alternative to electrical NoCs. While numerous opto-electronic NoCs have been proposed, their evaluations tend to be based on fixed numbers for both photonic and electrical components, making it difficult to co-optimize. Through our own forays into opto-electronic NoC design, we observe that photonics and electronics are very much intertwined, reflecting a strong need for a NoC modeling tool that accurately models parameterized electronic and photonic components within a unified framework, capturing their interactions faithfully. In this paper, we present a tool, DSENT, for design space exploration of electrical and opto-electrical networks. We form a framework that constructs basic NoC building blocks from electrical and photonic technology parameters. To demonstrate potential use cases, we perform a network case study illustrating data-rate tradeoffs, a comparison with scaled electrical technology, and sensitivity to photonics parameters

    Discovering Chromatin Motifs using FAIRE Sequencing and the Human Diploid Genome

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    Background: Specific chromatin structures are associated with active or inactive gene transcription. The gene regulatory elements are intrinsically dynamic and alternate between inactive and active states through the recruitment of DNA binding proteins, such as chromatin-remodeling proteins. Results: We developed a unique genome-wide method to discover DNA motifs associated with chromatin accessibility using formaldehyde-assisted isolation of regulatory elements with high-throughput sequencing (FAIRE-seq). We aligned the FAIRE-seq reads to the GM12878 diploid genome and subsequently identified differential chromatin-state regions (DCSRs) using heterozygous SNPs. The DCSR pairs represent the locations of imbalances of chromatin accessibility between alleles and are ideal to reveal chromatin motifs that may directly modulate chromatin accessibility. In this study, we used DNA 6-10mer sequences to interrogate all DCSRs, and subsequently discovered conserved chromatin motifs with significant changes in the occurrence frequency. To investigate their likely roles in biology, we studied the annotated protein associated with each of the top ten chromatin motifs genome-wide, in the intergenic regions and in genes, respectively. As a result, we found that most of these annotated motifs are associated with chromatin remodeling, reflecting their significance in biology. Conclusions: Our method is the first one using fully phased diploid genome and FAIRE-seq to discover motifs associated with chromatin accessibility. Our results were collected to construct the first chromatin motif database (CMD), providing the potential DNA motifs recognized by chromatin-remodeling proteins and is freely available at http://syslab.nchu.edu.tw/chromatin

    Depression is the Strongest Independent Risk Factor for Poor Social Engagement Among Chinese Elderly Veteran Assisted-living Residents

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    BackgroundSocial engagement prolongs the lifespan and preserves cognition in the elderly. However, most studies concerning social engagement have been conducted in Western countries; few have been performed in the Chinese population. This study attempted to identify the risk factors for poor social engagement among elderly veterans in Taiwan.MethodsA total of 597 male veterans were enrolled, with a mean age of 80.8 ± 5.0 years. This cross-sectional study employed the Resident Assessment Instrument (RAI) Minimum Data Set (MDS), the Geriatric Depression Scale–Short Form (GDS-SF), and the Mini-Mental State Examination (MMSE). Multivariate logistic regression analysis was done to investigate significant independent risk factors for poor social engagement, which were identified using the MDS Index of Social Engagement (ISE).ResultsMean ISE score was 1.5 ± 1.3 (range, 0–5); 52% of subjects had poor levels of social engagement (ISE < 2; 312/597). Regression analyses suggested that depression (OR, 6.6; 95% CI, 2.7–16.1; p < 0.001), illiteracy (OR, 2.2; 95% CI, 1.3–3.8; p = 0.003), the presence of unsettled relationships (OR, 3.6; 95% CI, 1.5–8.7; p = 0.004), and cognitive impairment (OR, 2.0; 95% CI, 1.1–3.9; p = 0.03) were significant independent risk factors for poor social engagement, after controlling for age, marital status, level of daily living activity and degree of sensory impairment.ConclusionPoor social engagement is common among Chinese assisted-living veteran home residents. Depression is the greatest risk factor of poor social engagement in this population
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