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.
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.
View Article and Find Full Text PDFScientific 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.
View Article and Find Full Text PDFIntroduction: 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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