ECOFFs of cefotaxime–sulbactam were established for seven clinically important bacterial species and provide essential reference values for distinguishing wild-type from non-wild-type isolates and support future breakpoint-setting and antimicrobial resistance surveillance.
Abstract
Objective To establish the epidemiological cut-off (ECOFF) value of cefotaxime-sulbactam against Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae, Proteus mirabilis, Serratia marcescens, Acinetobacter baumannii, and Staphylococcus aureus. Methods A total of 1,770 non-duplicate clinical isolates were collected from five laboratories in four cities in China. Minimum inhibitory concentrations (MICs) of cefotaxime-sulbactam were determined independently using the broth microdilution method according to EUCAST standards. For A. baumannii, cefotaxime-sulbactam was tested at a 2:1 ratio, whereas for the other species sulbactam was tested at a fixed concentration of 4 mg/L. ECOFFs were determined using ECOFFinder software and visual estimation following EUCAST principles. Results Statistical endpoints at 95%, 97.5%, 99%, 99.5%, and 99.9% were calculated. The final ECOFFs were assigned based on concordance between ECOFFinder-derived estimates and visual inspection, using the 99% endpoint as the primary statistical estimate. The ECOFFs were 0.25/4 mg/L for E. coli and K. pneumoniae; 0.5/4 mg/L for E. cloacae; 0.06/4 mg/L for P. mirabilis; 1/4 mg/L for S. marcescens; 4/4 mg/L for S. aureus; and 4/2 mg/L for A. baumannii. Conclusion ECOFFs of cefotaxime–sulbactam were established for seven clinically important bacterial species. These results provide essential reference values for distinguishing wild-type from non-wild-type isolates and support future breakpoint-setting and antimicrobial resistance surveillance.
Objective: This study aimed to determine the antibiotic resistance profiles and the phenotypic and genotypic activities of extended-spectrum β-lactamases (ESBLs), AmpC, and carbapenemases in bacteria isolated from water samples collected from the Kızılırmak River.
Methods: Water samples were collected aseptically from...
S. Kızıl, Gamze İmre, Edanur Çelik et al.· Klimik Dergisi/Klimik Journa...· 0 citations
The rise of extended-spectrum β-lactamase (ESBL) and carbapenem-resistant Enterobacterales (CRE) has severely limited treatment options in India. Cefepime-enmetazobactam (FPE), a novel β-lactam/β-lactamase inhibitor combination approved by the US FDA in 2024, shows promise as a carbapenem-sparing agent. A total of 383...
P. Aggarwal, S. Saxena, Anugula Amritha et al.· Japanese journal of infectio...· 0 citations
ABSTRACT Treatment options for New Delhi metallo-β-lactamase-producing Enterobacterales (NDME) remain limited, and the clinical relevance of fosfomycin–carbapenem combinations has not been fully established. We evaluated whether biapenem–fosfomycin provides greater in vitro activity than meropenem–fosfomycin. A total o...
Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a World Health Organization critical-priority pathogen, with a bloodstream-infection mortality of 40-70%. Ceftazidime-avibactam (CAZ-AVI) and colistin are key agents against CRKP, yet data on their minimum inhibitory concentrations (MICs) and association with carbape...
Hai Nguyen, Bình Đình Trần, Y. Nguyen et al.· Acta Microbiologica et Immun...· 0 citations
Background and Objectives: Urinary tract infections (UTIs) are among the most prevalent bacterial infections in women, with Escherichia coli and Klebsiella pneumoniae as leading causative pathogens. The emergence of multidrug-resistant (MDR) and carbapenem-resistant strains poses a significant therapeutic challenge. Ce...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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