Notes

Person compared to machine? Self-reports compared to algorithmic way of measuring associated with magazines.
Elafibranor mouse caused by chronic wounds on the affected persons themselves and also on the health care system are well recognised. The aim of this study was to investigate the prevalence and risk factors of chronic wounds in German nursing homes. #link# An annual cross-sectional study was conducted in nursing home residents from 2012 to 2018. The proportion of men affected by chronic wounds was to some extent higher than that of women, 9.0% males vs 7.5% females. In total, 7.8% of all residents were affected by chronic wounds. Of all residents with a chronic wound, 50.5% were affected by pressure ulcer. Male residents were twice as often affected by diabetic foot ulcer than female residents (18.0% vs 8.9%; P = 0.002). Bivariate analysis showed that chronic wounds were highly associated with poor nutrition, urinary incontinence, stool incontinence, diabetes mellitus, and limited mobility (P = 0.000). According to multivariate analysis, the strongest predictors for chronic wounds were limited mobility and diabetes mellitus. The highest prevalence of chronic wounds was in residents who were not restricted in their mobility, had diabetes, were male, and lived in a metropolitan region (23.7%). This study identified the prevalence and risk factors of chronic wounds in nursing home residents. Further research is needed to identify causal factors of the gender difference in the prevalence of chronic wounds. This may have an impact on the choice of prophylactic and therapeutic measures.A single-transaminase-catalyzed biocatalytic cascade was developed by employing the desired biocatalyst, ATA-117-Rd11, that showed high activity toward 2-oxo-4-[(hydroxy)(methyl)phosphinoyl] butyric acid (PPO) and α-ketoglutarate, and low activity against pyruvate. The cascade successfully promotes a highly asymmetric amination reaction for the synthesis of l-phosphinothricin (l-PPT) with high conversion (>95 %) and>99 % ee. In a scale-up experiment, using 10 kg pre-frozen E. coli cells harboring ATA-117-Rd11 as catalyst, 80 kg PPO was converted to ≈70 kg l-PPT after 24 hours with a high ee value (>99 %).The influenza D virus (IDV) was discovered less than ten years ago. Increased interest in this virus is due to its nature (RNA virus with high mutation rate), its worldwide circulation in livestock species, its probable role in bovine respiratory disease and its zoonotic potential. Until currently, the establishment of positivity cut-off of the hemagglutination inhibition (HI) assay was not formalized in field conditions for the detection of antibodies directed against IDV in cattle (i.e. the proposed reservoir). In this study, the positivity cut-off of the HI assays was formally established (titre = 10) using a receiver operating characteristic (ROC) curve. This information was used to estimate the sensitivity (68.04 to 73.20%) and the specificity (94.17 to 96.12%) of two different HI assays (HI1 and HI2 , with two different IDV antigens) relatively to virus micro-neutralization test (VNT) as reference test. Based on the above characteristics, the true prevalence of IDV was then estimated in Morocco using a stochastic approach. Irrespective of the HI assays used, the estimation of the true prevalence was statistically equivalent (between 48.44% and 48.73%). In addition, the Spearman rank correlation between HI titres and VNT titres was statistically good (0.76 and 0.81 for HA1 and HA2 , respectively). The positive (0.82 and 0.79 for HA1 and HA2 , respectively) and the negative (0.86 and 0.85 for HA1 and HA2 , respectively) agreement indices between results of HI assays and VNT were good and similar. This study allowed for a formal establishment of a positivity cut-off in HI assays for the detection of antibodies directed against IDV. This information is of prime importance to estimate the diagnostic sensitivity and specificity of the test relatively to the VNT (i.e. the reference test). Using these characteristics, the true prevalence of IDV should be determined in a country.In 2016, Centers for Disease Control and Prevention (CDC) established surveillance of pregnant women with Zika virus infection and their infants in the U.S. states, territories, and freely associated states. To identify cases of Zika-associated birth defects, subject matter experts review data reported from medical records of completed pregnancies to identify findings that meet surveillance case criteria (manual review). The volume of reported data increased over the course of the Zika virus outbreak in the Americas, challenging the resources of the surveillance system to conduct manual review. Machine learning was explored as a possible method for predicting case status. Ensemble models (using machine learning algorithms including support vector machines, logistic regression, random forests, k-nearest neighbors, gradient boosted trees, and decision trees) were developed and trained using data collected from January 2016-October 2017. Models were developed separately, on data from the U.S. states, non-Puerto Rico territories, and freely associated states (referred to as the U.S. Zika Pregnancy and Infant Registry [USZPIR]) and data from Puerto Rico (referred to as the Zika Active Pregnancy Surveillance System [ZAPSS]) due to differences in data collection and storage methods. The machine learning models demonstrated high sensitivity for identifying cases while potentially reducing volume of data for manual review (USZPIR 96% sensitivity, 25% reduction in review volume; ZAPSS 97% sensitivity, 50% reduction in review volume). Machine learning models show potential for identifying cases of Zika-associated birth defects and for reducing volume of data for manual review, a potential benefit in other public health emergency response settings.Carnivore protoparvovirus 1 is one of the most important pathogens affecting both wild and domestic carnivores. Here, we reported the genetic characterization of canine parvovirus (CPV-2) strains from a rescued guiña (Leopardus guigna) and domestic dogs from Chile. Guiña strain was classified as CPV-2c, and phylogenetic analysis of the complete coding genome showed that the guiña CPV-2c strain shares a recent common ancestor with Chilean domestic dogs' strains. These viruses showed >99% identity and exhibited three changes in the NS1 protein (V596A, E661K and L582F). This is the first detection and genetic characterization of CPV-2c infection in guiña worldwide, and one of the few comparative studies that show the source of infection was domestic dogs. The current findings highlight the fact that guiña is a susceptible species to protoparvovirus infection and that domestic dogs represent an important threat to its conservation. The CPV-2 cross-species transmission between domestic dogs and guiña should be taken into account for protection programmes of this endangered species.
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