.png){kind=icon}
.png){kind=icon}
Return
Drug Resistance Analysis and Prediction Model Construction of Carbapenem-Resistant Acinetobacter baumannii
.png){kind=icon}
PRE
AI
C
T
Q
DOI：10.1177/10766294251386344.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study analyzed the antimicrobial resistance profiles and risk factors for carbapenem-resistant Acinetobacter baumannii (CRAB) in a tertiary hospital and developed a predictive model for infection control. Among 64 Acinetobacter baumannii isolates collected in 2024 from the First People's Hospital of Chuzhou, CRAB accounted for 40.63% (26/64), with sputum being the most common specimen source (85.94%) and the highest isolation rate observed in respiratory wards. CRAB exhibited significantly higher resistance to most antibiotics compared to carbapenem-sensitive strains (CSAB), except for polymyxin and tigecycline (P < 0.05). Multivariate analysis identified >= 3 underlying diseases, prior use of compound antibiotics, and tracheal intubation/incision as independent risk factors for CRAB infection. A nomogram prediction model constructed with R software demonstrated high predictive accuracy (C-index: 0.985). The findings highlight a concerning prevalence and multidrug resistance of CRAB in this setting, underscoring the need to enhance monitoring, early risk factor identification, and targeted interventions to reduce transmission and optimize antimicrobial stewardship.
Keywords:
Acinetobacter baumannii
Acinetobacter baumannii resistant to carbapenems
drug resistance
risk factors
prediction model
Journal
M
IF:
1.9
Papers:
31
Citations:
3.9K