Publications by authors named "I B Thomsen"

The herpesviruses are the most common infectious agents associated with both primary and secondary cytokine storm syndromes (CSS). While Epstein-Barr Virus (EBV) is most frequently reported in association with CSS, cytomegalovirus (CMV) and many other herpesviruses (e.g.

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Background: Musculoskeletal infections (MSKIs) are a major cause of morbidity in the pediatric population and account for nearly 1 in every 10 consultations with a pediatric orthopaedic provider at a tertiary care center. To prevent or deescalate the risk of adverse medical and musculoskeletal outcomes, timely medical intervention in the form of antibiotics and potential surgical debridement is required. While there have been numerous studies indicating the value of laboratory testing during the initial workup of a child with MSKI, few studies to date have examined the utility of longitudinal assessment of laboratory measures in the acute setting to monitor the efficacy of antibiotic therapy and/or surgical intervention.

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Motivation: Phecodes are widely used and easily adapted phenotypes based on International Classification of Diseases codes. The current version of phecodes (v1.2) was designed primarily to study common/complex diseases diagnosed in adults; however, there are numerous limitations in the codes and their structure.

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Article Synopsis
  • Low levels of physical activity are linked to higher risks for new cardiac events in out-of-hospital cardiac arrest (OHCA) survivors, which can be assessed through self-reports or accelerometers.
  • A study aimed to compare self-reported and objectively measured physical activity levels among OHCA survivors in Sweden, Denmark, and the UK, with a hypothesis that self-reports would show moderate agreement with objective measures.
  • Results indicated that survivors self-reported significantly more active days than what accelerometers recorded, showing a moderate correlation but only fair to slight agreement between the two assessment methods.
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This study aimed to determine the differences and drivers of oomycete diversity and community composition in alder- and birch-dominated park and natural forest soils of the Fennoscandian and Baltic countries of Estonia, Finland, Lithuania, Norway, and Sweden. For this, we sequenced libraries of PCR products generated from the DNA of 111 soil samples collected across a climate gradient using oomycete-specific primers on a PacBio high-throughput sequencing platform. We found that oomycete communities are most affected by temperature seasonality, annual mean temperature, and mean temperature of the warmest quarter.

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