Risk of inflammatory bowel disease in patients with rosacea: Results from a nationwide cohort study in Taiwan.

BACKGROUND: A link between rosacea and inflammatory bowel disease (IBD) has been proposed with unknown mechanisms. Epidemiologic evidence of this association needs to be examined. METHODS: In this nationwide cohort study, a total of 89,356 patients with rosacea and 178,712 matched patients without rosacea between 1997 and 2013 were identified in the Taiwanese National Health Insurance Research Database. Cumulative incidences of IBD were compared between these 2 cohorts. Frailty Cox proportional hazard model was used and subgroup analyses were conducted to examine the risk factors for IBD. RESULTS: The 15-year cumulative incidences of IBD were 0.036% (95% confidence interval [CI] 0.00%-1.57%) and 0.019% (95% CI 0.00%-0.83%) in rosacea and nonrosacea cohorts, respectively (P = .05). Rosacea (adjusted hazard ratio 1.94, 95% CI 1.04-3.63, P = .04) and male gender (adjusted hazard ratio 3.52, 95% CI 2.03-6.11, P < .01) were independently associated with IBD, after adjustment for major comorbidities. Multivariate subgroup analyses revealed consistent results. The incidence rates of IBD decreased with increasing antibiotic use in patients with rosacea, but without statistical significance. LIMITATION: Information related to lifestyle, diet, alcohol, and smoking was not included in the database. CONCLUSION: Patients with rosacea may have an increased risk of IBD.

Depression and Insomnia in Patients With Psoriasis and Psoriatic Arthritis Taking Tumor Necrosis Factor Antagonists.

Psoriasis patients with moderate to severe disease often present with depression and insomnia. Treatment targeting both psoriasis and psychological comorbidities is needed to improve the quality of life of these patients.In this nationwide cohort study, a total of 980 patients with psoriatic arthritis or psoriasis who had received nonbiological disease-modifying antirheumatic drugs and biologics therapy between 2009 and 2012 were identified. The prevalence rates of patients taking medications for depression and insomnia were compared before and after biologics therapy. Logistic regression method was used to investigate the risk factors for depression and insomnia. Further stratified analyses were performed to examine the prevalence of use of medications for depression and insomnia among different patient subgroups.The prevalence of patients taking regular antidepressants before starting biologics therapy was about 20%. There was a more than 40% reduction in this prevalence after biologics therapy for 2 years. Age higher than 45 years, female sex, presence of comorbidities, and psoriatic arthritis were independently associated with depression and insomnia. Further stratified analyses revealed a more rapid and significant reduction in depression/insomnia in those undergoing continuous biologics therapy, younger than 45 years, without psoriatic arthritis and not taking concomitant methotrexate, when compared with their counterparts.The results suggest that biologics therapy may be associated with reduced rates of depression and insomnia, and a reduced rate of regular antidepressants use in psoriasis patients.

Physical Realization of a Supervised Learning System Built with Organic Memristive Synapses.

Multiple modern applications of electronics call for inexpensive chips that can perform complex operations on natural data with limited energy. A vision for accomplishing this is implementing hardware neural networks, which fuse computation and memory, with low cost organic electronics. A challenge, however, is the implementation of synapses (analog memories) composed of such materials. In this work, we introduce robust, fastly programmable, nonvolatile organic memristive nanodevices based on electrografted redox complexes that implement synapses thanks to a wide range of accessible intermediate conductivity states. We demonstrate experimentally an elementary neural network, capable of learning functions, which combines four pairs of organic memristors as synapses and conventional electronics as neurons. Our architecture is highly resilient to issues caused by imperfect devices. It tolerates inter-device variability and an adaptable learning rule offers immunity against asymmetries in device switching. Highly compliant with conventional fabrication processes, the system can be extended to larger computing systems capable of complex cognitive tasks, as demonstrated in complementary simulations.