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PURPOSE: To explore modifications of the 2021 European Resuscitation Council/European Society of Intensive Care Medicine (ERC/ESICM) guideline algorithm for neuroprognostication after cardiac arrest to improve its prognostic accuracy.METHODS: Post-hoc analysis of four prospective multicentre studies (TTM, TTM2, KORHN and ProNeCA). We raised the Glasgow Coma Scale motor (GCS-M) inclusion threshold
X-ray Fluorescence microscopy is a sophisticated advanced technique which can provide information regarding the concentration and the distribution of chemical elements within biological samples. It is increasingly used in the study of cells and tissues as it does not require the use of staining or fluorescent probes. For XRF measurements, sample preparation is a key step in the analytical process
PURPOSE: To assess the risk of self-fulfilling prophecy from withdrawal of life-sustaining therapy (WLST) in comatose cardiac arrest patients undergoing neuroprognostication.METHODS: Post-hoc multicentre study matching adults resuscitated from out-of-hospital cardiac arrests, in WLST-permitting cohorts (TTM and TTM2), and non-WLST-permitting cohorts (KORHN and ProNeCA). We matched patients in a 1:
Aim: In this paper, we aim to explain the reason why iron deficiency (ID) is common in patients with inflammatory bowel disease (IBD), how to better apply diagnostic tools to uncover the state of ID as well as how to interpret the results, and not least, how to treat ID in this group of patients. Methods: This article is an expert review and opinion paper on a topic that is too often forgotten in
Introduction: Most cervical cancer cases in Sweden are diagnosed among women who have failed to attend screening. The objective of this study was to analyze the effectiveness of offering vaginal HPV (human papillomavirus) self-samples to long-term non-attendees as a routine in this screening program, in which non-attendees had already been the targets of several interventions. Material and Methods
Purpose: The study investigates the feasibility of applying a retrospective motion-correction technique to ultralow-field (ULF) MRI data to improve reconstructed image quality when there is patient motion, which is likely to be a critical challenge in portable, point-of-care imaging. Theory & Methods: The study tests alignedSENSE, an iterative motion correction and reconstruction method with S
Trait spectra have been used in various branches of ecology to explain and predict patterns of species distributions. Several categorical and continuous traits have been proposed as relevant for ectomycorrhizal fungi, but a spectrum that unifies co-varying traits remains to be established and tested. Here, we propose a nitrogen acquisition and carbon use trait spectrum for ectomycorrhizal fungi in
Preparing travel time data can be a time-consuming process, which greatly limits the flexibility of transport simulation models. In the current paper, we present an approach to integrate a routing engine locally in an existing modeling framework, hence enabling to dynamically calculate travel times in the constructed emergency medical services (EMS) simulation models. This integration eliminates t
Plasma p-tau217 and tau positron emission tomography (PET) are strong prognostic biomarkers in Alzheimer’s disease (AD), but their relative performance in predicting future cognitive decline among cognitively unimpaired (CU) individuals is unclear. In a head-to-head comparison study including nine cohorts and 1,474 individuals, we show that plasma p-tau217 and medial temporal lobe tau-PET signal d
As the boundaries of ‘work’ extend to include work that adapts to or brings about new organization, social value and alternative futures, it intersects with entrepreneurship studies in intriguing yet under-developed ways. This special issue focuses on developing this intersection by advancing process and practice theory research on entrepreneuring. Entrepreneuring is a concept that captures the pr
The past few years have seen a profound re-acceleration of interest in artificial intelligence (AI) and robotics, accompanied by intensifying debates about ethical regulation. Yet, less attention has been paid to how people experience AI and robots in practice. This paper explores the potential of an experiential approach to AI and robot ethics. Specifically, we review empirical studies on human e
BACKGROUND: Patients benefit from antiplatelet therapy after coronary-artery bypass grafting (CABG) for an acute coronary syndrome. Whether the addition of ticagrelor to aspirin, as compared with aspirin alone, further reduces the risk of adverse cardiovascular outcomes is unclear.METHODS: In this open-label, registry-based, clinical trial conducted at 22 Nordic cardiothoracic surgery centers, we
Racism remains a harmful societal issue, and organizations must actively address workplace bias and discrimination. However, clear guidelines are often lacking for how to conduct Diversity, Equity, and Inclusion (DEI) training in workplaces. This study aimed to develop and test a tool, the Multi-method Approach to Train Equity (MATE), to reduce prejudice and promote anti-discrimination intentions.
The work seeks to assess the effect of technological innovation on the green growth of tourism across five continental regions using the STochastic estimation of Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. Employing panel Granger causality tests, panel vector autoregression, impulse response functions, and forecast error variance decomposition, the research reve
With the prevalence of obesity, metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide and can cause a series of serious complications. The pathogenesis of MASLD is complex, characterized by oxidative stress, impaired mitochondrial function and lipid metabolism, and cellular inflammation. Mitochondrial biology and function are ce
Despite limitations like poor mimicry of the human cell microenvironment, contamination risks, and batch-to-batch variation, cell culture media with animal-derived components such as fetal bovine serum (FBS) have been used in vitro for decades. Moreover, a few reports have used animal-product-free media in advanced high throughput three-dimensional (3D) models that closely mimic in vivo conditions
This paper examines how, if artificial agents are capable of wellbeing, their wellbeing should be compared and aggregated alongside human wellbeing. Building on arguments from Goldstein and Kirk-Giannini, who suggest that some AI systems may possess wellbeing, I explore the moral implications of this possibility. Rather than reinventing debates in population ethics, this paper adapts and extends t
