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Background: Beta-lactams remain the first-line treatment of infections despite the increasing global prevalence of penicillin-resistant/non-susceptible strains. We conducted a cross-sectional household survey in a rural community in northern Vietnam in 2018-2019 to provide prevalence estimates of penicillin non-susceptible (PNSP) carriage and to investigate behavioural and environmental factors associated with PNSP colonization. The data presented will inform the design of a large trial of population-based interventions targeting inappropriate antibiotic use.

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Investigating BoLA Class II DRB3*009:02 carrying cattle in Japan.

Vet Anim Sci

March 2025

Veterinary Virology, School of Veterinary Medicine, Rakuno Gakuen University, 582 Midorimachi Bunkyodai, Ebetsu, Hokkaido, 0698501, Japan.

Enzootic bovine leukosis (EBL) is a malignant lymphoma of cattle that is mainly caused by bovine leukemia virus (BLV) infection. In this study, PCR-RFLP was used to investigate the frequency of the DRB3*009:02 allele in several farms with different herd management practices in Japan. A total of 742 Holsteins (384) and Japanese Blacks (230) were used as the sample size for the study, which was larger than the number of cattle in the study area with a confidence level of 95 % and a margin of error of 8.

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Citrus black spot (CBS), caused by , is an important fungal disease of citrus. Higher CBS severity has been associated with infections at the young and green stages of fruit. The length of the fruit susceptibility period may be influenced by the amount of inoculum and the climate of the citrus growing region.

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Introduction: () is becoming more resistant to antibiotics, and the implementation of individualized therapy is highly valuable for its eradication. This study aimed to investigate the efficacy and safety of individualized treatment guided by antibiotic susceptibility testing (AST) with a 10-day or 14-day course for the eradication of .

Methods: This was a prospective, open-label, single-center, quasi-randomized trial in which 220 participants were randomized into groups based on AST results as AST-10-day ( = 98) and AST-14-day ( = 112) treatment groups.

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Background: Multidrug-resistant Klebsiella pneumoniae (MDR-KP) infections pose a significant global healthcare challenge, particularly due to the high mortality risk associated with septic shock. This study aimed to develop and validate a machine learning-based model to predict the risk of MDR-KP-associated septic shock, enabling early risk stratification and targeted interventions.

Methods: A retrospective analysis was conducted on 1,385 patients with MDR-KP infections admitted between January 2019 and June 2024.

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