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首页> 外文期刊>American Journal of Infection Control >Modeling and forecasting Acinetobacter baumannii resistance to set appropriate use of cefoperazone-sulbactam: Results from trend analysis of antimicrobial consumption and development of resistance in a tertiary care hospital
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Modeling and forecasting Acinetobacter baumannii resistance to set appropriate use of cefoperazone-sulbactam: Results from trend analysis of antimicrobial consumption and development of resistance in a tertiary care hospital

机译：模拟和预测植物细菌抗性抗性抗菌性抗菌性抗菌剂：抗菌消费趋势分析的趋势分析及抗性化医院抗性的发展

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Background: Antibiotic resistance in Acinetobacter baumannii (AB) is increasingly recognized as a major threat to global health. The extensive use of antimicrobial chemotherapy in clinical environments is considered a factor associated with the enhanced occurrence of antimicrobial resistance. Methods: The autoregressive integrated moving average model was used to forecast the trend of drug resistance of AB in the coming years, combined with assessment of relationships between antibiotic consumption and AB resistance to set appropriate antibiotic use. Results: A total of 4,377 AB isolates were collected and were associated with a resistance rate of >80% of major antibiotics. A significant increase in resistance in AB to cefoperazone-sulbactam (C-S) (r2 = 0.98, P = .001) was observed. C-S consumption was correlated with the development of resistance in AB (r = 0.99, P = .02). From 2009-2012, the percentage of AB resistance to C-S was <35%; however, it increased sharply (67.3%) because the annual consumption of C-S was >20 defined daily dose (DDD)/l,000 patient days in 2O13.Increased consumption of C-S may contribute to the emergence of multidrug-resistant AB and the increasing prevalence of hospital-acquired infection. Conclusion: A recommendation of limiting the use of C-S to <20 DDD/1,000 patient days annually was proposed for inhibiting the sharp increment of the AB resistance rate in our hospital. Copyright ? 2015 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
机译：背景：鲍曼（AB）的抗生素耐药越来越被认为是对全球健康的主要威胁。在临床环境中广泛使用抗微生物化疗被认为是与增强抗微生物抗性发生相关的因素。方法：自回归综合移动平均模型用于预测未来几年的耐药性趋势，结合抗生素消耗与AB抗性之间关系的评估，以确定适当的抗生素使用。结果：收集了共4,377AB分离株，与主要抗生素的抗性率> 80％有关。观察到对头孢噻唑酮 - 脉冲肟（C-S）（R2 = 0.98，p = .c = .ce）的显着增加。 C-S消耗与AB的抗性的发育相关（R = 0.99，P = .02）。从2009-2012开始，AB抗性对C-S的百分比<35％;然而，它急剧增加（67.3％），因为Cs的年消耗量> 20定义的每日剂量（DDD）/ L，000患者日2013中。增加Cs的消费可能导致多药物抗性AB的出现和增加医院获得感染的患病率。结论：提出了限制C-S对<20ddd / 1,000患者天的建议，以抑制我们医院的AB阻力率的急剧增量。版权？ 2015年由Elsevier Inc.的Iselsvier Inc.保留的所有权利发布的感染控制和流行病学协会。

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