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| Correlation between drug resistance of Klebsiella pneumoniae and antibiotic use |
| XIANG Rong1 OU Huanjiao2▲ XU Ning1 HUANG Xuezhen1 ZENG Huifen2 CHEN Rongzhong1 |
1.Department of Laboratory, Xiaolan Hospital Affiliated to Southern Medical University, Guangdong Province, Zhongshan 528415, China;
2.Department of Pharmacy, Xiaolan Hospital Affiliated to Southern Medical University, Guangdong Province, Zhongshan 528415, China |
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Abstract Objective To explore the effect of antibiotics on drug resistance of Klebsiella pneumoniae and to provide theoretical basis for rational use of antibiotics in clinic. Methods The annual dosage of antibiotics and the trend of drug resistance of Klebsiella pneumoniae in patients with community acquired respiratory tract infection from 2015 to 2017 in Xiaolan Hospital Affiliated to Southern Medical University were retrospectively analyzed. Pearson was used to analyze the correlation between drug resistance of common anti-Gram-negative bacteria and Klebsiella pneumoniae. Results From 2015 to 2017, the detection rate of Klebsiella pneumoniae producing extended-spectrum β-lactamase [ESBLs (+)] showed an upward trend, with no significant difference (P ＞ 0.05). The resistance rates of Klebsiella pneumoniae strains ESBL (+) to Ceftazidime and fourth-generation cephalosporins were less than 30%, while the resistance rates to the first generation cephalosporins and Ceftriaxone were higher than 90%, and the resistance rates to aminoglycosides and Compound sinomenin were higher than 40%, and the resistance rates to carbapenems were lower than 1%. The second and third generation of cephalosporins, β-lactamase inhibitors and quinolones were the most frequently used drugs. The resistance rate of Klebsiella pneumoniae to Piperacillin/Tazobactam and Ceftazidime was positively correlated with the frequency of antibiotics (P < 0.05). Conclusion There is a certain correlation between the frequency of antibiotics used and the drug resistance rate of Klebsiella pneumoniae. We should continue to strengthen the management of clinical application of antibiotics, optimize the selection of antibiotics and control the use of antibiotics.
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