Publications by authors named "W Duettmann"

Background: The aim of this study was to quantify hypertension control and evaluate concordance between all commonly available blood pressure (BP) modalities in kidney transplant recipients (KTRs).

Methods: For this prospective cross-sectional study, 89 stable KTRs were recruited at the Charité Transplant Outpatient Clinic. For each study participant office [manual office BP (MOBP) and automated office BP (AOBP)], 7-day home (HBPM) and 24-hour ambulatory BP (24h-ABPM) measurements were performed.

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Kidney transplant recipients (KTRs) show higher morbidity and mortality from COVID-19 than the general population and have an impaired response to vaccination. We analyzed COVID-19 incidence and clinical outcomes in a single-center cohort of approximately 2500 KTRs. Between 1 February 2020 and 1 July 2022, 578 KTRs were infected with SARS-CoV-2, with 25 (4%) recurrent infections.

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Scientific publications about the application of machine learning models in healthcare often focus on improving performance metrics. However, beyond often short-lived improvements, many additional aspects need to be taken into consideration to make sustainable progress. What does it take to implement a clinical decision support system, what makes it usable for the domain experts, and what brings it eventually into practical usage? So far, there has been little research to answer these questions.

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Article Synopsis
  • The German Medical Association introduced a new board certification in Internal Medicine and Infectious Diseases (ID) and assessed current training experiences and curriculum expectations through a digital survey distributed among healthcare professionals.
  • Out of 300 respondents, a significant portion (38.9%) had completed additional ID training, with concerns about the future recognition of their certifications, although most were satisfied with their training.
  • A strong majority of participants agreed on the need to incorporate microbiology and antimicrobial stewardship into the new ID curriculum, and they highlighted the necessity for better childcare support and research commitment to attract more young professionals into the field.
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Introduction: Artificial intelligence-driven decision support systems (AI-DSS) have the potential to help physicians analyze data and facilitate the search for a correct diagnosis or suitable intervention. The potential of such systems is often emphasized. However, implementation in clinical practice deserves continuous attention.

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