Notes

EMS Program Graduate students Which Would not Retest following Original Test on the Nationwide Qualifications Test.
This study aimed to investigate the clinical characteristics, treatment, and prognosis of juvenile idiopathic inflammatory myopathies (JIIM) in Japan for each myositis-specific autoantibody (MSA) profile.

A multicenter, retrospective study was conducted using data of patients with JIIM at nine pediatric rheumatology centers in Japan. Patients with MSA profiles, determined by immunoprecipitation using stored serum from the active stage, were included.

MSA were detected in 85 of 96 cases eligible for the analyses. Over 90% of the patients in this study had one of the following three MSA types anti-MDA5 (n = 31), anti-TIF1γ (n = 25), and anti-NXP2 (n = 25) antibodies. Gottron papules and periungual capillary abnormalities were the most common signs of every MSA group in the initial phase. The presence of interstitial lung disease (ILD) was the highest risk factor for patients with anti-MDA5 antibodies. Most patients were administered multiple drug therapies glucocorticoids and methotrexate were administered to patients with anti-TIF1γ or anti-NXP2 antibodies. Half of the patients with anti-MDA5 antibodies received more than three medications including intravenous cyclophosphamide, especially patients with ILD. Patients with anti-MDA5 antibodies were more likely to achieve drug-free remission (29% vs 21%) and less likely to relapse (26% vs 44%) than others.

Anti-MDA5 antibodies are the most common MSA type in Japan, and patients with this antibody are characterized by ILD at onset, multiple medications including intravenous cyclophosphamide, drug-free remission, and a lower frequency of relapse. New therapeutic strategies are required for other MSA types.
Anti-MDA5 antibodies are the most common MSA type in Japan, and patients with this antibody are characterized by ILD at onset, multiple medications including intravenous cyclophosphamide, drug-free remission, and a lower frequency of relapse. New therapeutic strategies are required for other MSA types.Supported housing for people with mental and intellectual disabilities (IDs) is an important setting for health and may contribute positively and negatively to residents' health. The aim of this study was to explore health promotion practices and services in supported housing in Denmark using a mixed-methods design comprising qualitative group interviews with managers and employees (n = 12) and a nationwide survey among managers (n = 276) and employees from supported housing facilities (n = 315). This study showed that employees tried to integrate health promotion in the daily work with residents, but efforts primarily focused on individual behavior and motivation. Findings points to several challenges and barriers, including ambivalent attitudes towards smoking and beliefs that health promotion undermines self-determination and empowerment. To build supportive environments for people with mental and IDs, we need to focus on the attitudes, values and competences of managers and employees to tackle misconceptions about smoking, raise awareness about the wider determinants and promote structural changes.
The monoclonal interleukin-1beta (IL-1β) antibody canakinumab is approved for the treatment of systemic juvenile idiopathic arthritis (SJIA). Its efficacy has been proven in several trials, but not all patients show a complete and sustained response to therapy. We aimed to analyze the association of baseline serum biomarkers with treatment outcome in patients with SJIA treated with canakinumab.

Serum samples from 54 patients with active SJIA without recent macrophage activation syndrome (MAS) treated with canakinumab in an open-label response characterization study were subjected to a multiplexed bead array assay. Interesting targets from these analyses were validated by ELISA. Clinical treatment outcomes included modified pediatric American College of Rheumatology (pACR) 30 and 90 responses, clinically inactive disease (CID) within 15 days of treatment, and sustained complete response, defined as pACR100 or CID within 15 days of treatment plus no future flare or MAS.

In canakinumab naïve patients most h recent MAS.
ASTRAL is the current leading method for species tree estimation from phylogenomic datasets (i.e., hundreds to thousands of genes) that addresses gene tree discord resulting from incomplete lineage sorting (ILS). ASTRAL is statistically consistent under the multi-locus coalescent model (MSC), runs in polynomial time, and is able to run on large datasets. Key to ASTRAL's algorithm is the use of dynamic programming to find an optimal solution to the MQSST (maximum quartet support supertree) within a constraint space that it computes from the input. Yet, ASTRAL can fail to complete within reasonable timeframes on large datasets with many genes and species, because in these cases the constraint space it computes is too large.

Here we introduce FASTRAL, a phylogenomic estimation method. FASTRAL is based on ASTRAL, but uses a different technique for constructing the constraint space. see more The technique we use to define the constraint space maintains statistical consistency and is polynomial time; thus we prove that FASTRAL is a polynomial time algorithm that is statistically consistent under the MSC. Our performance study on both biological and simulated data sets demonstrates that FASTRAL matches or improves on ASTRAL with respect to species tree topology accuracy (and under high ILS conditions it is statistically significantly more accurate), while being dramatically faster-especially on datasets with large numbers of genes and high ILS-due to using a significantly smaller constraint space.

FASTRAL is available in open-source form at https//github.com/PayamDiba/FASTRAL.

Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.
To determine how passively providing informational handouts and/or drug disposal kits affects rates of leftover prescription opioid disposal.

A multi-arm parallel-group randomized controlled trial with masked outcome assessment and computer-guided randomization.

Johns Hopkins Health System outpatient pharmacies.

Individuals who filled ≥1 short-term prescription for an immediate-release opioid for themselves or a family member.

In June 2019, 499 individuals were randomized to receive an informational handout detailing U.S. Food and Drug Administration-recommended ways to properly dispose of leftover opioids (n = 188), the informational handout and a drug disposal kit with instructions on its use (n = 170), or no intervention (n = 141) at prescription pickup. Subjects were subsequently contacted by telephone, and outcomes were assessed by a standardized survey. The primary outcome was the use of a safe opioid disposal method.

By 6 weeks after prescription pickup, 227 eligible individuals reported they had stopped taking prescription opioids to treat pain and had leftover medication. No difference in safe disposal was observed between the non-intervention group (10% [6/63]) and the group that received disposal kits (14% [10/73]) (risk ratio = 1.44; 95% confidence interval 0.55 to 3.74) or the group that received a fact sheet (11% [10/91]) (risk ratio = 1.15; 95% confidence interval 0.44 to 3.01).

These findings suggest that passive provision of a drug disposal kit at prescription pickup did not increase rates of leftover opioid disposal when compared with provision of a fact sheet alone or no intervention. Active interventions may deserve further investigation.
These findings suggest that passive provision of a drug disposal kit at prescription pickup did not increase rates of leftover opioid disposal when compared with provision of a fact sheet alone or no intervention. Active interventions may deserve further investigation.We describe two new species of sucking lice in the genus Hoplopleura Enderlein, 1904 (Psocodea Phthiraptera Hoplopleuridae) from Australia Hoplopleura gracilicaudatusa n. sp. from the eastern chestnut mouse Pseudomys gracilicaudatus (Gould) (Rodentia Muridae), and Hoplopleura nanusa n. sp. from the western chestnut mouse Pseudomys nanus (Gould) (Rodentia Muridae). Pseudomys Gray is the most speciose genus of rodents endemic to Australia with 24 species; however, only two Pseudomys species have been reported previously to be hosts of sucking lice. The description of the new species in the present study doubles the number of sucking louse species known to parasitize Pseudomys mice and increases the total number of sucking louse species known from endemic Australian rodents from 21 to 23. Pseudomys gracilicaudatus and P. nanus are closely related murines that diverged ~1 MYA with distinct and widely separated extant geographic distributions. The two new Hoplopleura species described in the present study share some morphological characters and likely co-evolved and co-speciated with their chestnut mouse hosts.
To understand how medical scribes' work may contribute to alleviating clinician burnout attributable directly or indirectly to the use of health IT.

Qualitative analysis of semistructured interviews with 32 participants who had scribing experience in a variety of clinical settings.

We identified 7 categories of clinical tasks that clinicians commonly choose to offload to medical scribes, many of which involve delegated use of health IT. These range from notes-taking and computerized data entry to foraging, assembling, and tracking information scattered across multiple clinical information systems. Some common characteristics shared among these tasks include (1) time-consuming to perform; (2) difficult to remember or keep track of; (3) disruptive to clinical workflow, clinicians' cognitive processes, or patient-provider interactions; (4) perceived to be low-skill "clerical" work; and (5) deemed as adding no value to direct patient care.

The fact that clinicians opt to "outsource" certain clinical tasks to medical scribes is a strong indication that performing these tasks is not perceived to be the best use of their time. Given that a vast majority of healthcare practices in the US do not have the luxury of affording medical scribes, the burden would inevitably fall onto clinicians' shoulders, which could be a major source for clinician burnout.

Medical scribes help to offload a substantial amount of burden from clinicians-particularly with tasks that involve onerous interactions with health IT. Developing a better understanding of medical scribes' work provides useful insights into the sources of clinician burnout and potential solutions to it.
Medical scribes help to offload a substantial amount of burden from clinicians-particularly with tasks that involve onerous interactions with health IT. Developing a better understanding of medical scribes' work provides useful insights into the sources of clinician burnout and potential solutions to it.
Hi-C is the most widely used assay for investigating genome-wide 3D organization of chromatin. When working with Hi-C data, it is often useful to calculate the similarity between contact matrices in order to asses experimental reproducibility or to quantify relationships among Hi-C data from related samples. The HiCRep algorithm has been widely adopted for this task, but the existing R implementation suffers from run time limitations on high resolution Hi-C data or on large single-cell Hi-C datasets.

We introduce a Python implementation of HiCRep and demonstrate that it is much faster and consume much less memory than the existing R implementation. Furthermore, we give examples of HiCRep's ability to accurately distinguish replicates from non-replicates and to reveal cell type structure among collections of Hi-C data.

HiCRep.py and its documentation are available with a GPL license at https//github.com/Noble-Lab/hicrep. The software may be installed automatically using the pip package installer.

Supplementary methods and results are included in an appendix at Bioinformatics online.
My Website: https://www.selleckchem.com/products/sbi-0206965.html