在阿曼对抗生素管理的门建模
Zainab Said Al-Hashimy1, Mubarak Al-Yaqoobi2, Amal Al Jabari2
1Department of Clinical Pharmacy, Directorate of Pharmaceutical Care and Medical Stores, Khawlah Hospital, Muscat, Oman; Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
American journal of infection control
|November 16, 2024
概括
抗菌药物管理旨在合理使用抗生素. 这项研究确定了与医院中耐药性格拉姆阴性病原体的临界发病率相关的抗生素使用值.
科学领域:
- 传染性疾病 传染性疾病
- 临床药房 临床药房
- 流行病学 流行病学
背景情况:
- 抗生素管理对于合理使用抗生素至关重要.
- 在抗生素获取与抗药性控制之间取得平衡是具有挑战性的.
- 这项研究的重点是抗卡巴胺的Acinetobacter baumannii,抗卡巴胺的Klebsiella pneumoniae以及扩展光谱β-lactamases产生埃舍里希亚大肠杆菌.
研究的目的:
- 为了确定与特定耐药性格拉姆阴性病原体的发病率相关的抗生素使用目标.
- 建立这些病原体的临界发病率切断值.
- 确定与病原体发病率增加相关的抗生素使用值.
主要方法:
- 使用回顾性数据进行生态人口级设计.
- 从2015年1月到2023年12月收集的每月病原体病例和抗生素使用数据.
- 应用非线性建模和后勤回归来确定值.
主要成果:
- 确定了临界发病率:对抗卡巴胺的A. baumannii的0.199例/100个被占用床位日 (OBD),对抗卡巴胺的K. pneumoniae的0.175例,以及产生ESBL的大肠杆菌的0.146例.
- 已识别的抗生素使用值 (定义的每日剂量/100 OBD):氨基糖化物 (0.59),卡巴胺 (6.31),皮佩拉西林-塔扎巴克坦 (3.71),第三代素 (3.71),和基诺 (1.91).
- 超过这些抗生素使用值与这些格兰负病原体的发病率加快有关.
结论:
- 门物流模型是抗菌药物管理的有效工具.
- 这些模型可以为医院管理抗微生物药物耐药性的干预措施提供信息.
- 实施这些值可以帮助控制耐药性阴性感染的传播.
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