Objectives: The FOSFO-MIC study assessed the clinical and microbiological effectiveness, and safety of intravenous fosfomycin in treating complicated urinary tract infections (cUTIs) caused by Escherichia coli, in comparison with other intravenous antimicrobials.
Methods: A prospective, multinational matched-cohorts study involving adults with community-acquired cUTIs and receiving targeted therapy with intravenous fosfomycin or other first-line drugs (beta-lactams or fluoroquinolones) was conducted from November 2019 to May 2023 in 10 centres from Spain, Italy, and Türkiye. Matching criteria included healthcare-relation, Charlson and Pitt scores.
Introduction: Aging in rural areas is challenging and has very specific characteristics in the way these elderly people live their old age, from the perspectives of cognition, functionality and life purpose. There is a lack of information and data in the literature on how people age in rural areas around the world. The aim of this study was to identify and describe how people age in rural areas, focusing on the following domains: cognition, physical function/functionality and life purpose.
View Article and Find Full Text PDFObjective: One of the main problems with Clostridioides difficile infection (CDI) is its tendency to recur. The objective of the study is to analyze which factors in the clinical management of CDI favor recurrence.
Methods: This is a retrospective study conducted at the Hospital Universitario Príncipe de Asturias on cases of CDI between January 2021 and June 2023.
Thyrocervical trunk pseudoaneurysms are very rare and usually occur after trauma or invasive procedures. Given its location and nature, thyrocervical trunk pseudoaneurysm typically presents with symptoms at presentation. Those that occur spontaneously and without symptoms are even more uncommon.
View Article and Find Full Text PDFTo understand and measure political information consumption in the high-choice media environment, we need new methods to trace individual interactions with online content and novel techniques to analyse and detect politics-related information. In this paper, we report the results of a comparative analysis of the performance of automated content analysis techniques for detecting political content in the German language across different platforms. Using three validation datasets, we compare the performance of three groups of detection techniques relying on dictionaries, classic supervised machine learning, and deep learning.
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