30 research outputs found

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    Green Supply Chain Decision and Management under Manufacturer’s Fairness Concern and Risk Aversion

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    This study focuses on the impact of a supply chain manufacturer’s fairness concern and risk aversion on the green supply chain and constructs a two-level green supply chain consisting of a manufacturer and a retailer. It compares three models: the manufacturer is a risk-neutral and fair-neutral, the manufacturer is a risk-averse and fair-neutral, and the manufacturer is a risk-averse and fair-concerned decision maker. In three cases, this paper examines how the manufacturer’s risk aversion and fairness concerns the impact product green level, retail price, and the wholesale price in the green supply chain. Consumers are sensitive to pricing strategies and product green level. The results are as follows: the manufacturer’s risk aversion leads to an increase in the retailer’s profit, and the manufacturer’s profit decreases with the increase in the risk aversion coefficient. Second, when demand meets certain conditions and the manufacturer has advantageous fairness concerns, the manufacturer benefits from fairness concerns, the retailer’s profit decreases with the manufacturer’s fairness concerns coefficient, and the manufacturer’s risk aversion will lead to a decline in the product green level. Third, when the manufacturer believes that the risk is relatively large, they reduce the technology investment of green products; thus, the fairness concerns of the manufacturer will affect the investment of green products and increase the green level of products. For enterprises: When supply chain members face various risks, they need to consider the specific needs of consumers and other members’ behavioral preferences. They can put forward a more scientific prediction of market demand and rational decision making. For customers: they should not only pay attention to changes in market prices, but should also pay attention to changes in the behavioral preferences of supply chain members, as customers are in line with their own interests based on the choice of high-quality green production

    A spatial econometric investigation into road traffic accessibility and economic growth: insights from the Chengdu-Chongqing twin-city economic circle

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    Abstract A prevailing question in contemporary transport research queries the contribution of transport infrastructure investment to regional and local economic growth. Notably, the benefits under consideration extend beyond travel-time savings to possible additional developmental benefits. Centering on the Chengdu-Chongqing twin-city economic circle, this study sheds light on this issue. It presents a comprehensive approach involving economic, investment, and political-institutional conditions, and underscores their synergistic operation in eliciting measurable economic benefits. We delve into the effects of road traffic accessibility on economic growth in 2019, using accessibility indicators integrated into a spatial econometric model. Our research relied on robust indicators of road traffic accessibility, transportation investments, and economic outputs from the Chengdu-Chongqing region. The study demonstrates that the road traffic network’s development level is higher in the central area compared to the peripheral regions. Further, it reveals an uneven economic development distribution within the circle. Moreover, the spatial effect of road traffic on economic growth surfaces as an error term spatial interaction effect, highlighting accessibility’s pivotal role. Factors like industrial infrastructure, labor force, and new economic geography also significantly affect growth. To wrap up, we discuss the broader implications of our findings. We suggest a stronger connection between road transportation and economic growth and stress the need to enhance the supporting economic environment. Our findings have broader implications, guiding policy and planning in other urban economic circles

    Concomitant type I IFN and M-CSF signaling reprograms monocyte differentiation and drives pro-tumoral arginase productionResearch in context

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    Background: Type I IFN-based therapies against solid malignancies have yielded only limited success. How IFN affects tumor-associated macrophage (TAM) compartment to impact the therapeutic outcomes are not well understood. Methods: The effect of an IFN-inducer poly(I:C) on tumor-infiltrating monocytes and TAMs were analyzed using a transplantable mouse tumor model (LLC). In vitro culture systems were utilized to study the direct actions by poly(I:C)-IFN on differentiating monocytes. Results: We found that poly(I:C)-induced IFN targets Ly6C+ monocytes and impedes their transition into TAMs. Such an effect involves miR-155-mediated suppression of M-CSF receptor expression, contributing to restricting tumor growth. Remarkably, further analyses of gene expression profile of IFN-treated differentiating monocytes reveal a strong induction of Arg1 (encoding arginase-1) in addition to other classical IFN targets. Mechanistically, the unexpected Arg1 arm of IFN action is mediated by a prolonged STAT3 signaling in monocytes, in conjunction with elevated macrophage colony-stimulating factor (M-CSF) signaling. Functionally, induction of ARG1 limited the therapeutic effect of IFN, as inhibition of arginase activity could strongly synergize with poly(I:C) to enhance CD8+ T cell responses to thwart tumor growth in mice. Conclusions: Taken together, we have uncovered two functionally opposing actions by IFN on the TAM compartment. Our work provides significant new insights on IFN-mediated immunoregulation that may have implications in cancer therapies. Keywords: Type I IFN, M-CSF, Arginase, Monocyte maturation, Tumor-associated macrophages, Anti-tumor immunit

    Antibiotic resistance of Riemerella anatipestifer and comparative analysis of antibiotic-resistance gene detection methods

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    Riemerella anatipestifer is an important pathogen in waterfowl, and is generally multidrug resistant. This study assessed the current status of Riemerella anatipestifer antibiotic resistance and antibiotic-resistance genes (ARGs), compared the results of different detection methods, and evaluated a new method of studying the association between antibiotic resistance and ARGs in Riemerella anatipestifer. In this study, 51 strains of Riemerella anatipestifer were isolated from ducks on several farms, their resistance to 28 antibiotics was assessed, and the isolates were subjected to whole-genome sequencing. The number of ARGs carried by Riemerella anatipestifer was predicted, compared, and analyzed, and the consistency between ARGs and antibiotic-resistance phenotypes was assessed. The potential for loss of resistance genes during the sequencing and assembly of genome-wide framework map was assessed, and a new ARG detection method was pilot tested. The 51 strains of Riemerella anatipestifer were multidrug resistant (MDR) and had high level of resistance to aminoglycosides, trimethoprim, lincosamides, polypeptides, and macrolides. Based on the genome-wide framework map of the 51 strains, 3 local databases of ABRicate software and 1 online database of CARD website were used to detect ARGs, and a mean of 4 to 5 ARGs were identified per isolate. Although the detection results differed according to the database used, the general performance was consistent. The online website detected more types of ARGs than the ABRicate software. The association between ARGs and antibiotic-resistance phenotypes was assessed, and the ermF gene was identified as a possible key ARGs regulating macrolide resistance of Riemerella anatipestifer. The method used to investigate and detect Riemerella anatipestifer ARGs was convenient and rapid, and had strong accuracy and pertinence. The ARGs detection method reported here combined the advantages of PCR and genome detection, and could greatly reduce workload and detect ARGs more precisely
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