10 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

    Optimizing Heterogeneous Platform Allocation Using Reinforcement Learning

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    In this paper, we consider the problem of distinguishing a target within an environment using multiple mobile heterogeneous sensing platforms. When used efficiently, the diversity of sensing platforms offers gains over a set of platforms equipped with identical sensors. To optimize over the placement of the platforms, one needs a mechanism for combining the distributed multi-domain sensor data as well as a control to translate that data into coordinated platform movement. Here, we address the latter. By assuming complete sharing of information between platforms, we can establish a baseline for platform movement behavior and add noise incrementally to ensure robustness under noisy communication. The heterogeneity of the platforms removes one axis of symmetry from the problem of mapping platforms over an environment. This means that it is not sufficient to select a set of positions and send platforms based on proximity. We need to select a mapping over all of the platforms so that the platform placed in each location is the one which has the sensor configuration best equipped for information gain there. As each platform accumulates information on the targets within its field of view, we use a modified version of the Upper Confidence Bound algorithm to determine the value of placing each platform in that sector. We also use this algorithm to encourage exploration of sectors which have been unobserved for long periods of time. By assuming random uniform target movement, we can efficiently estimate the environment transitions forward in time. This allows us to generate best trajectories for each platform based on expected target behavior and jointly select their movements. We demonstrate that by framing the problem of distinguishing a target as a partially-observable Markov decision process we can allocate platforms in a way that minimizes search time and displays gains over the same scenario with homogeneous sensing platforms

    Making Sense of the Micro: Building an Evidence Base for Ontario’s Microcredentials

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    This Innovation Spotlight responds to confusion and uncertainty surrounding “microcredentials”. The authors, from the Higher Education Quality Council of Ontario (HEQCO), offer a working typology that uses “microcredentials” as an umbrella term for credentials that are tied to short learning opportunities, focussed on specific skills or knowledge. In the context of declining long-term employment, the authors call for short, flexible programs that facilitate lifelong learning and respond to the modern hiring needs of employers. They make the case that postsecondary institutions, governments and employers can collaborate in designing and delivering job-relevant microcredentials, grounded in evidence. The authors plan to build an evidence base by engaging stakeholders – prospective students, employers, and institutional administrators – to examine the perceived and potential value of microcredentials.

    Epithelial cell α3β1 integrin links β-catenin and Smad signaling to promote myofibroblast formation and pulmonary fibrosis

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    Pulmonary fibrosis, in particular idiopathic pulmonary fibrosis (IPF), results from aberrant wound healing and scarification. One population of fibroblasts involved in the fibrotic process is thought to originate from lung epithelial cells via epithelial-mesenchymal transition (EMT). Indeed, alveolar epithelial cells (AECs) undergo EMT in vivo during experimental fibrosis and ex vivo in response to TGF-β1. As the ECM critically regulates AEC responses to TGF-β1, we explored the role of the prominent epithelial integrin α3β1 in experimental fibrosis by generating mice with lung epithelial cell–specific loss of α3 integrin expression. These mice had a normal acute response to bleomycin injury, but they exhibited markedly decreased accumulation of lung myofibroblasts and type I collagen and did not progress to fibrosis. Signaling through β-catenin has been implicated in EMT; we found that in primary AECs, α3 integrin was required for β-catenin phosphorylation at tyrosine residue 654 (Y654), formation of the pY654–β-catenin/pSmad2 complex, and initiation of EMT, both in vitro and in vivo during the fibrotic phase following bleomycin injury. Finally, analysis of lung tissue from IPF patients revealed the presence of pY654–β-catenin/pSmad2 complexes and showed accumulation of pY654–β-catenin in myofibroblasts. These findings demonstrate epithelial integrin–dependent profibrotic crosstalk between β-catenin and Smad signaling and support the hypothesis that EMT is an important contributor to pathologic fibrosis

    Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study (Intensive Care Medicine, (2021), 47, 2, (160-169), 10.1007/s00134-020-06234-9)

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    The original version of this article unfortunately contained a mistake. The members of the ESICM Trials Group Collaborators were not shown in the article but only in the ESM. The full list of collaborators is shown below. The original article has been corrected
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