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Background: infections (CDIs) are associated with significant morbidity, mortality, and economic burden globally. International guidelines conflict on various aspects of management, so we conducted a clinician survey to evaluate global practice variability on CDI diagnosis, treatment, and prophylaxis to inform future clinical trials.
Methods: An anonymous online survey through REDCap was distributed through multiple channels. Attending physicians, infectious disease pharmacists, and fellows in infectious diseases or medical microbiology who had managed ≥3 cases of CDI in the preceding year were eligible. Responses were compared across continents by chi-square test.
Results: Three hundred fifty-nine survey responses were collected from 31 countries and 6 continents (North America 80.5%, Europe 11.7%, other continents 7.8%). A 2-step CDI diagnostic algorithm was used by 75.8% of respondents with heterogeneity in assay type. Similarly, there was significant variability in first-line agents for the treatment of first episodes and first recurrences of uncomplicated CDI and a lack of consensus on treatments for fulminant CDI. Secondary CDI prophylaxis during antibiotic re-exposure was most commonly used in North America (84.1%), followed by other continents (50.0%) and Europe (31.0%; < .001). Oral vancomycin was the most frequently used agent (96.3%), with significant variability in the dose (125-500 mg daily) and duration (1-28 days; < .01).
Conclusions: Substantial global variability exists with respect to CDI diagnosis, treatment, and secondary prophylaxis, likely due to divergent guidelines and a paucity of robust evidence. These findings highlight critical knowledge gaps and areas of clinical equipoise and underscore the need for further randomized controlled trials to establish harmonized international best practices for CDI.
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http://dx.doi.org/10.1093/ofid/ofaf248 | DOI Listing |
Anal Bioanal Chem
September 2025
GuangDong Engineering Technology Research Center of Antibody Drug and Immunoassay, Department of Biological Sciences and Biotechnology, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
Illicit drug abuse poses a significant global threat to public health and social security, highlighting the urgent need for rapid, sensitive, and versatile detection technologies. To address the limitations of traditional chromatographic techniques-such as high costs and slow response times-and the drawbacks of conventional immunochromatographic sensors (ICS), including low sensitivity and non-intuitive signal outputs, a fluorescence-quenching ICS (FQICS) was developed. This sensor leverages fluorescence resonance energy transfer (FRET) between aggregation-induced emission fluorescent microspheres (AIEFMs) and gold nanoparticles (AuNPs).
View Article and Find Full Text PDFNat Rev Urol
September 2025
Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Low-grade non-muscle invasive bladder cancer is a specific category of bladder cancer with a favourable prognosis; however, its management presents several challenges. The risk of stage progression is very low, but approximately half of patients will experience recurrence within the first 5 years after diagnosis. This high propensity for recurrence, coupled with the threat of progression, mandates ongoing surveillance.
View Article and Find Full Text PDFBJGP Open
September 2025
Institute for Global Health, University College London, London, United Kingdom
Background: Over the past decade, remote (non-face-to-face) services are being increasingly used in primary care, including interactions through telephone and online platforms. These services bring potential benefits as well as potential barriers for patients. Older migrants are a population that could face intersectional barriers when accessing healthcare; it is important to understand the impact of remote services on them.
View Article and Find Full Text PDFJ Med Ethics
September 2025
Shrewsbury Public Schools, Shrewsbury, Massachusetts, USA
The integration of artificial intelligence (AI) into pharmaceutical practices raises critical ethical concerns, including algorithmic bias, data commodification and global health inequities. While existing AI ethics frameworks emphasise transparency and fairness, they often overlook structural vulnerabilities tied to race, gender and socioeconomic status. This paper introduces relational accountability-a feminist ethics framework-to critique AI-driven pharmaceutical practices, arguing that corporate reliance on biased algorithms exacerbates inequalities by design.
View Article and Find Full Text PDFMethods Cell Biol
September 2025
Department of Basic Sciences, Faculty of Medicine and Sciences, Universidad San Sebastián, Santiago, Chile. Electronic address:
Obesity is a multifactorial disease characterized by excessive accumulation of adipose tissue, resulting from an imbalance between energy intake and expenditure. Mouse models have emerged as invaluable tools for elucidating the complex genetic, environmental, and physiological mechanisms driving to obesity. This chapter provides an overview of the methodologies employed to establish and study obesity in mice, highlighting their relevance to human disease.
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