AIMC Topic: Amikacin
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Antimicrobial activity of ceftazidime-avibactam and comparator agents when tested against bacterial isolates causing infection in cancer patients (2013-2014).
Diagnostic microbiology and infectious disease
Nov 29, 2016
We evaluated the antimicrobial susceptibility of 623 Gram-negative organisms causing infection in patients with cancer in 52 United States hospitals (2013-2014) as part of the International Network for Optimal Resistance Monitoring (INFORM) program. ...
Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients.
Antimicrobial agents and chemotherapy
Sep 23, 2016
Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resistant tuberculosis (MDR-TB). We measured amikacin concentrations in 28 MDR-TB patients in Botswana receiving amikacin therapy together with oral levofl...
Regression Analysis
Antitubercular Agents
Models, Theoretical
Treatment Outcome
Mycobacterium tuberculosis
Amikacin
Tuberculosis, Multidrug-Resistant
Tuberculosis, Pulmonary
Male
Middle Aged
Microbial Sensitivity Tests
Adolescent
Young Adult
Adult
Aged, 80 and over
Humans
Artificial Intelligence
Female
Aged
Botswana
Fit-for-purpose chromatographic method for the determination of amikacin in human plasma for the dosage control of patients.
Talanta
Dec 21, 2015
In this paper, a simple, rapid and sensitive method based on liquid chromatography with fluorimetric detection (HPLC-FLD) for the determination of amikacin (AMK) in human plasma is developed. Determination is performed by pre-column derivatization of...
Machine learning for identifying resistance features of using whole-genome sequence single nucleotide polymorphisms.
Journal of medical microbiology
Nov 1, 2021
, a gram-negative bacterium, is a common pathogen causing nosocomial infection. The drug-resistance rate of is increasing year by year, posing a severe threat to public health worldwide. has been listed as one of the pathogens causing the global c...
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