Christian G. Giske
Karolinska University Hospital
258 Papers
1K Citations
Christian G. Giske is an academic researcher from Karolinska University Hospital. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 50, co-authored 215 publications. Previous affiliations of Christian G. Giske include Public Health Agency of Sweden & Swedish Institute.
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Papers
Wild-Type MIC Distributions for Aminoglycoside and Cyclic Polypeptide Antibiotics Used for Treatment of Mycobacterium tuberculosis Infections
P. Jureen,Karin Ängeby,Erik Sturegård,Erja Chryssanthou,Christian G. Giske,Jim Werngren,Michaela Jonsson Nordvall,A Johansson,Gunnar Kahlmeter,Sven Hoffner,Thomas B. Schön +10 more
TL;DR: Establishing wild-type MIC distributions on Middlebrook 7H10 medium for amikacin, kanamycin, streptomycin, caprecycin, and viomycin using 90 consecutive clinical isolates and 21 resistant strains emphasizes the importance of establishing wild- type MIC distributions for improving the quality of drug susceptibility testing against Mycobacterium tuberculosis.
Antibiotic consumption and antibiotic stewardship in Swedish hospitals
TL;DR: Evidence-based actions to improve antibiotic use and to slow down the problem of antibiotic resistance need to be strengthened.
Risk factors for community-onset bloodstream infection with extended-spectrum β-lactamase-producing Enterobacteriaceae: national population-based case–control study
TL;DR: Targeted interventions should be directed towards improving care for patients with immunosuppression, urological disorders and subjects with lower socio-economic status and there was a dose-response relationship in EPE BSI risk with increasing number of consecutive regimens.
Interplay of efflux, impermeability, and AmpC activity contributes to cefuroxime resistance in clinical, non-ESBL-producing isolates of Escherichia coli.
Owe Källman,Christian G. Giske,Ørjan Samuelsen,Bengt Wretlind,Mats Kalin,Barbro Olsson-Liljequist +5 more
TL;DR: It is suggested that efflux, impermeability, and increased AmpC activity all contribute to cefuroxime resistance in E. coli.
GPT-4 based AI agents – the new expert system for detection of antimicrobial resistance mechanisms?
Christian G. Giske,Michelle Bressan,Farah Fiechter,Vladimira Hinic,Stefano Mancini,Oliver Nolte,Adrian Egli +6 more
TL;DR: GPT-4 and its customized GPT-agent show promise for identifying potential resistance mechanisms in Gram-negative bacteria, but require further validation and datasets for benchmarking.