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The world has been afflicted heavily by the burden of coronavirus disease 2019 (COVID-19) that overwhelmed health care systems and caused severe economic and educational deficits, in addition to anxiety among the public. The main aim of this study was to evaluate the mutual effects of belief that the pandemic was the result of a conspiracy on knowledge and anxiety levels among students at the Univ
Background: Patent foramen ovale (PFO) is a contributor to embolic stroke of undetermined source (ESUS). Subgroup analyses from previous studies suggest that anticoagulation could reduce recurrent stroke compared with antiplatelet therapy. We hypothesised that anticoagulant treatment with rivaroxaban, an oral factor Xa inhibitor, would reduce the risk of recurrent ischaemic stroke compared with as
In recent years, countries, regions, municipalities and the EU Commission have introduced a significant number of innovation policy initiatives under the banner of ‘missions’, ‘societal challenges’, sustainability, and ‘transformation’, or systemic change. In parallel, there has been a rapidly growing body of literature seeking to analyze or assess these real-world manifestations of attempts to pi
Aims: In the present study, we aimed to evaluate the performance of machine learning (ML) models for identification of acute myocardial infarction (AMI) or death within 30 days among emergency department (ED) chest pain patients. Methods and results: Using data from 9519 consecutive ED chest pain patients, we created ML models based on logistic regression or artificial neural networks. Model input
As found in the health studies literature, the levels of climate association between epidemiological diseases have been found to vary across regions. Therefore, it seems reasonable to allow for the possibility that relationships might vary spatially within regions. We implemented the geographically weighted random forest (GWRF) machine learning method to analyze ecological disease patterns caused
Background There is a lack of contemporary data describing patients with left ventricular (LV) systolic dysfunction post myocardial infarction (MI) in terms of symptom burden and secondary prevention measures. The aim of this study was to describe patients with various degrees of LV systolic dysfunction after a first MI, their symptom burden, quality of life and adherence to recommended secondary
Background: Wrist osteoarthritis can cause persistent pain, reduced joint mobility, and difficulty performing daily activities, negatively impacting quality of life. Although patient education and exercise therapy are recommended as first-line treatments for osteoarthritis in other joints, evidence supporting these strategies for wrist osteoarthritis remains limited. This randomized controlled tri
Background: Alcohol use disorder (AUD) and posttraumatic stress disorder (PTSD) are frequently comorbid and are individually associated with increased risk of suicidal behavior. However, whether their comorbidity exacerbates this risk has not been adequately investigated. Methods: Using a Swedish birth cohort (born 1970–1990; N = 799,203–858,983), we employed Aalen’s linear hazards models to evalu
Background: Programmed death-ligand 1 (PD-L1) immunocytochemical (ICC) analysis of cell blocks (CBs) has recently emerged in clinical practice. Unlike standardized immunohistochemistry on formalin-fixed, paraffin-embedded tissues, cytology involves various preparation methods and fixatives. This study investigated how various fixatives influence PD-L1 immunoreactivity in CBs from malignant pleural
Air pollution is recognized as the most important environmental factor that adversely affects human and societal wellbeing. Due to rapid urbanization, air pollution levels are increasing in the Sub-Saharan region, but there is a shortage of air pollution monitoring. Hence, exposure data to use as a base for exposure modelling and health effect assessments is also lacking. In this study, low-cost s
What understanding of freedom does the EU freedom to conduct business protect? This article distinguishes between two understandings of freedom – freedom as non-interference and freedom as non-domination, and argues that both the text of Article 16 of the Charter and the pre-Charter case law suggest an understanding of freedom as non-domination. However, in recent case law, the Court appears to haWhat understanding of freedom does the EU freedom to conduct business protect? This article distinguishes between two understandings of freedom – freedom as non-interference and freedom as non-domination, and argues that both the text of Article 16 of the Charter and the pre-Charter case law suggest an understanding of freedom as non-domination. However, in recent case law, the Court appears to ha
Background Late blight (caused by Phytophthora infestans) is a devastating potato disease that has been found to occur earlier in the season over the last decades in Fennoscandia. Up until now the reasons for this change have not been investigated. Possible explanations for this change are climate alterations, changes in potato production or changes in pathogen biology, such as increased fitness o
The search for new cancer biomarkers is essential for fundamental research, diagnostics, as well as for patient treatment and monitoring. Whereas most cancer biomarkers are biomolecules, an increasing number of studies show that mechanical cues are promising biomarker candidates. Although cell deformability has been shown to be a possible cancer biomarker, cellular forces as cancer biomarkers have
Aims: Neurotensin (NT) is a gut hormone that promotes lipids absorption and controls appetite. Elevated circulating pro-NT, the stable precursor of NT, is associated with cardiovascular (CV) disease, metabolic syndrome (MS) and type 2 diabetes (T2D). Features of MS and insulin resistance are reported also in type 1 diabetes (T1D), with detrimental impact on the overall CV risk profile. Aims of the
Severe COVID-19 is characterised by immunopathology and epithelial injury. Proteomic studies have identified circulating proteins that are biomarkers of severe COVID-19, but cannot distinguish correlation from causation. To address this, we performed Mendelian randomisation (MR) to identify proteins that mediate severe COVID-19. Using protein quantitative trait loci (pQTL) data from the SCALLOP co
Objectives: To evaluate whether anthropometric parameters add to PSA measurements in middle-aged men for risk assessment of prostate cancer (PCa) diagnosis and death. Results: After adjusting for PSA, both BMI and weight were significantly associated with an increased risk of PCa death with the odds of a death corresponding to a 10 kg/m2 or 10 kg increase being 1.58 (95% CI 1.10, 2.28; p = 0.013)
Deep learning has the potential to drastically increase the accuracy and efficiency of prostate cancer diagnosis, which would be of uttermost use. Today the diagnosis is determined manually from H&E stained specimens using a light microscope. In this paper several different approaches based on convolutional neural networks for prostate cancer classification are presented and compared, using th
Background: In spite of the World Health Organization's recommendations to maintain caesarean delivery (CD) between 5% and 15% of total births, the rates of CD continue to rise in countries with routine access to medical services. As in Italy CD rate reached 38% in 2008, the highest at EU level, we evaluated socioeconomic and clinical correlates of "elective" and "non programmed" CD in the Country
