Akershus University Hospital (Norwegian: Akershus universitetssykehus, abbreviated Ahus) is a Norwegian public university hospital in the Greater Oslo Region. It is located in the Lørenskog municipality in the region of Viken, northeast of the Norwegian capital Oslo. It is a teaching hospital and one of two university hospitals affiliated with the University of Oslo, alongside the larger Oslo University Hospital. The hospital has around 10,000 employees and a capacity of around 950 beds. In 2018, there were approximately 2,600 health, medical and nursing students in placements or internships within the hospital.
This cross-sectional study examined the network structure and centrality of clinically meaningful psychopathology constructs across adolescence (14-17 years; N = 895), emerging adulthood (18-29 years; N = 717), and established adulthood (30-45 years; N = 381) in a Brazilian sample. Using the clinical scales of the Personality Assessment Inventory (PAI) and PAI-Adolescent (PAI-A), we applied exploratory graph analysis (EGA) and estimated centrality and bridge centrality metrics to identify communities and structurally connected constructs within each age group. Across all three age groups, EGA revealed a three-community structure partially consistent with dimensional models of psychopathology, identifying internalizing, externalizing, and severe dysregulation clusters. Borderline features were the most central across all networks and served as the dominant bridge in emerging and established adulthood groups, whereas somatic complaints played this role in the adolescent group. A notable difference across age groups was observed for mania, which clustered with the severe dysregulation community in adolescents but with the externalizing community in emerging and established adults. These findings highlight both similarities and cross-sectional age-related differences in the organization of broad psychopathology domains across age groups. The use of a large Brazilian sample contributes to addressing geographic inequities in mental health research.
Background Clinicians’ information tailoring may improve patient outcomes by ensuring that information aligns with each patient’s need for information or understanding. However, no studies have examined how clinicians actually tailor medical information during clinical consultations. Objective We aimed to identify and characterize how clinicians tailor medical information to patients’ needs for information or understanding in oncology consultations. Methods A convenience sample of video-recordings of Dutch (n = 7) and Norwegian (n = 5) clinical oncology consultations was selected and analyzed using microanalysis of clinical interaction. Analytical steps involved identifying sensitizing concepts for “clinicians’ medical information tailoring” and “patients’ needs for information or understanding”, collaboratively watching the video-recordings to extract relevant information tailoring sequences, and iteratively characterizing tailoring practices and categories. Operational definitions for clinicians’ medical information tailoring, analytical choices, procedures and examples, were documented in a coding manual. Results Based on 370 potential information tailoring sequences, five information tailoring categories were created. Cases of “no tailoring” (category 0) showed no match between patients’ needs for information or understanding and clinicians’ information provision. In cases of “attempted tailoring” (category 1), clinicians provided limited, extensive, or ambiguous information. In other cases, clinicians performed partial tailoring (category 2), meaning that they disregarded affective needs accompanying patients’ needs for information or understanding. Finally, “full tailoring” involved clinicians matching information to patients’ needs for information or understanding and accompanying affective needs if present (category 3) and using “add-ons” to deliver information, namely, co-constructing patients’ needs for information or understanding, using matching language or requested additional aids (category 4). Practice recommendations Practice recommendations: Clinicians are encouraged to address patients’ needs for information or understanding and if present, affective needs, using co-construction, matching language, or requested additional aids. Conclusions This empirical work may support clinicians in navigating the complex task of providing patients with information that is helpful to them.
Rapid and accurate whole-genome sequencing (WGS) is increasingly important for detecting antimicrobial resistance and virulence determinants in clinical microbiology. Although short-read platforms remain widely used, long-read sequencing technologies have gained relevance due to their ability to resolve complex genomic regions. We analyzed 92 draft genomes generated from 23 clinical methicillin-resistant Staphylococcus aureus (MRSA) isolates to compare Oxford Nanopore Technologies sequencing protocols using R9.4.1 (Kit V10) and R10.4.1 (Kit V14) flow cells under 20-hour and 48-hour conditions. The 20-hour R10.4.1 protocol (ONT20h R10) showed the best overall performance, with improved detection of antimicrobial resistance genes, virulence factors, plasmids, and mobile genetic elements. This protocol achieved perfect agreement with phenotypic antimicrobial susceptibility testing (accuracy 100
BACKGROUND:Measurement of cardiac troponin (cTn) using high-sensitivity assays is recommended for the diagnosis of myocardial infarction. We determined sex-specific and uniform 99th percentile upper reference limits (URLs) using the new Elecsys® Troponin T high-sensitivity Gen 6 assay in a global, healthy reference range cohort. METHODS:Lithium-heparin plasma and serum samples were prospectively collected from apparently healthy individuals aged ≥20 years across 34 global sites in the United States, Europe, China, and Japan. cTnT was measured using the Troponin T high-sensitivity Gen 6 assay on the Cobas® e 801 analyzer. Exclusion criteria were defined according to the 2022 IFCC guidance. Uniform and sex-specific 99th percentile URLs and nonparametric 95% CIs were determined in plasma and serum separately and combined. RESULTS:The final study population comprised 4147 participants (52.5% female) with a median (25th-75th percentiles) age of 48.0 (33.0-59.0) years; 45.8%, 47.9%, 5.2%, and 1.1% were White, Asian, Black, and other/unknown, respectively. For sample matrices combined (n = 8294), 81.0% and 99.2% of cTnT values were above the limit of detection in females and males, respectively. Sex-specific 99th percentile URLs (95% CI) were 18 (16-23) ng/L for females and 32 (28-35) ng/L for males; the uniform 99th percentile URL was 27 (24-31) ng/L. URLs were comparable in plasma and serum samples. CONCLUSIONS:This study determined sex-specific and uniform 99th percentile URLs for the Troponin T high-sensitivity Gen 6 assay that were comparable irrespective of the matrix used in a large, global, healthy reference population.
