Hyoung-Tae Kim, Cheon-Hoo Jeon, Si-Ho Kim, Yu Mi Wi
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引用次数: 0
Abstract
We developed a prediction model for cefotaxime resistance in patients with K. pneumoniae bacteremia. Adult patients with K. pneumoniae bacteremia were grouped into derivation (from March 2018 to December 2019) and validation (from January 2020 to August 2020) cohorts. The prediction scoring system was based on factors associated with cefotaxime resistance identified by the logistic regression model. A total of 358 patients were enrolled (256 for derivation, 102 for validation). In the multivariable analysis, age ≥65 years, hospital-acquired infection, prior antimicrobial use, and an updated Charlson comorbidity index ≥3 points were associated with cefotaxime resistance in the derivation cohort. When each variable was counted as 1 point, the values of the area under the curve were 0.761 in the derivation and 0.781 in the validation cohorts. The best cutoff value using the Youden index was ≥2 with 73.6% sensitivity and 67.5% specificity. Our simple scoring system favorably predicted cefotaxime resistance.
期刊介绍:
The Journal of Chemotherapy is an international multidisciplinary journal committed to the rapid publication of high quality, peer-reviewed, original research on all aspects of antimicrobial and antitumor chemotherapy.
The Journal publishes original experimental and clinical research articles, state-of-the-art reviews, brief communications and letters on all aspects of chemotherapy, providing coverage of the pathogenesis, diagnosis, treatment, and control of infection, as well as the use of anticancer and immunomodulating drugs.
Specific areas of focus include, but are not limited to:
· Antibacterial, antiviral, antifungal, antiparasitic, and antiprotozoal agents;
· Anticancer classical and targeted chemotherapeutic agents, biological agents, hormonal drugs, immunomodulatory drugs, cell therapy and gene therapy;
· Pharmacokinetic and pharmacodynamic properties of antimicrobial and anticancer agents;
· The efficacy, safety and toxicology profiles of antimicrobial and anticancer drugs;
· Drug interactions in single or combined applications;
· Drug resistance to antimicrobial and anticancer drugs;
· Research and development of novel antimicrobial and anticancer drugs, including preclinical, translational and clinical research;
· Biomarkers of sensitivity and/or resistance for antimicrobial and anticancer drugs;
· Pharmacogenetics and pharmacogenomics;
· Precision medicine in infectious disease therapy and in cancer therapy;
· Pharmacoeconomics of antimicrobial and anticancer therapies and the implications to patients, health services, and the pharmaceutical industry.