Suppr超能文献

2007 年和 2008 年荷兰急性 Q 热的抗生素治疗及其与住院的关系。

Antibiotic therapy for acute Q fever in The Netherlands in 2007 and 2008 and its relation to hospitalization.

机构信息

Centre for Infectious Disease Control, National Institute for Public Health and Environment, Bilthoven, The Netherlands.

出版信息

Epidemiol Infect. 2011 Sep;139(9):1332-41. doi: 10.1017/S0950268810002621. Epub 2010 Nov 19.

Abstract

Data about the effectiveness of different antibiotic regimens for the treatment of acute Q fever from clinical studies is scarce. We analysed the antibiotic treatment regimens of acute Q fever patients in 2007 and 2008 in The Netherlands and assessed whether hospitalization after a minimum of 2 days antibiotic therapy was related to the initial antibiotic therapy. Clinical data on antibiotic treatment and risk factors of acute Q fever patients were obtained from general practitioner medical records and self-reported by patients. For the 438 study patients, doxycycline was the most commonly prescribed initial antibiotic in both study years. After adjustments for confounding factors, doxycycline (200 mg/day), moxifloxacin, as well as other possibly effective antibiotics [including other new fluoroquinolones and doxycycline (100 mg/day)] showed significant lower risks for hospitalization compared to β-lactam antibiotics and azithromycin (reference group), with the lowest risk for doxycycline (200 mg/day) (odds ratio 0·04, 95% confidence interval 0·01-0·22). These data support current guidelines that recommend doxycycline as the first choice antibiotic for treating acute Q fever.

摘要

关于不同抗生素方案治疗急性 Q 热的有效性的临床研究数据很少。我们分析了 2007 年和 2008 年荷兰急性 Q 热患者的抗生素治疗方案,并评估了在至少 2 天抗生素治疗后住院是否与初始抗生素治疗有关。急性 Q 热患者的抗生素治疗临床数据和危险因素来自全科医生的病历,并由患者自行报告。在 438 名研究患者中,多西环素是这两年研究中最常开的初始抗生素。在调整混杂因素后,与β-内酰胺类抗生素和阿奇霉素(参照组)相比,多西环素(200mg/天)、莫西沙星以及其他可能有效的抗生素[包括其他新型氟喹诺酮类和多西环素(100mg/天)]显示出较低的住院风险,其中多西环素(200mg/天)的风险最低(比值比 0.04,95%置信区间 0.01-0.22)。这些数据支持当前的指南,即建议多西环素作为治疗急性 Q 热的首选抗生素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验