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Cardiovagal Function Measured by the Deep Breathing Test : Relationships With Coronary Atherosclerosis

Background The cardiovagal function can be assessed by quantification of respiratory sinus arrhythmia (RSA) during a deep breathing test. However, population studies of RSA and coronary atherosclerosis are lacking. This population-based study examined the relationship between RSA during deep breathing and coronary atherosclerosis, assessed by coronary artery calcium score (CACS). Methods and Resul

Universell utformning i praktiken : förståelse, genomförande och samskapande

Avhandlingen är en sammanläggning av fyra artiklar om universell utformning i praktiken. Att designa för alla människor är en vägledande princip som Sveriges riksdag och regering beslutat om som del av implementeringen av FN:s konvention om rättigheter för personer med funktionsnedsättning. Avhandlingen bidrar med kunskap om förståelse, genomförande och samskapande gällande universell utformning.

Projected effects of climate change and forest management on carbon fluxes and biomass of a boreal forest

Boreal forests are key to global carbon (C) sequestration and storage. However, the potential impacts of climate change on these forests could be profound. Nearly 70 % of the European boreal forests are intensively managed, but our understanding of the combined effects of forest management and climate change on the forest's integral role as a C sink is still limited. In this study, we aim to fill

Changes over 6 years in secondary health conditions and activity limitations in older adults aging with long-term spinal cord injury

Background: The number of individuals aging with long-term spinal cord injury (SCI) is increasing. Still, there is limited knowledge about changes in secondary health conditions (SHCs) and activity limitations over time. Objectives: To determine changes in SHCs and activity limitations in older adults aging with long-term SCI over 6 years, and to investigate how changes in SHCs and activity limita

Phenotypic and genetic classification of diabetes

The historical subclassification of diabetes into predominantly types 1 and 2 is well appreciated to inadequately capture the heterogeneity seen in patient presentations, disease course, response to therapy and disease complications. This review summarises proposed data-driven approaches to further refine diabetes subtypes using clinical phenotypes and/or genetic information. We highlight the bene

Low Prevalence of Mild Alpha-1-Antitrypsin Deficiency in Hospitalized COVID-19-Patients

Introduction: Alpha-1-antitrypsin (AAT) has been shown to inhibit SARS-CoV-2 cell entry and suggested as a therapeutic agent for COVID-19. Furthermore, epidemiological association of high prevalence of Alpha-1-antitrypsin deficiency (AATD) and regional severity of COVID-19-impact has been hypothesized. In our study setting, the estimated prevalence rates of mild (PI*MZ, PI*SS or PI*MS) and moderat

Professionals´ readiness for change to knowledge-based palliative care at nursing homes : a qualitative follow-up study after an educational intervention

Background: There has been a global increase in the number of people who are dying of old age. This development implies a need for good palliative care among older persons at the end of life. Here nursing homes have an important role to play. However, the principles of palliative care have not been sufficiently applied in nursing homes, and there is a need to increase the implementation of palliat

Proteomic analysis shows decreased type I fibers and ectopic fat accumulation in skeletal muscle from women with PCOS

Background: Polycystic ovary syndrome's (PCOS) main feature is hyperandrogenism, which is linked to a higher risk of metabolic disorders. Gene expression analyses in adipose tissue and skeletal muscle reveal dysregulated metabolic pathways in women with PCOS, but these differences do not necessarily lead to changes in protein levels and biological function. Methods: To advance our understanding of

VAI-B : A multicenter platform for the external validation of artificial intelligence algorithms in breast imaging

Purpose: Multiple vendors are currently offering artificial intelligence (AI) computer-aided systems for triage detection, diagnosis, and risk prediction of breast cancer based on screening mammography. There is an imminent need to establish validation platforms that enable fair and transparent testing of these systems against external data. Approach: We developed validation of artificial intellig