临床预测氟喹诺酮类药物耐药性在医源性革兰氏阴性尿路感染中的应用。
A clinical prediction rule for fluoroquinolone resistance in healthcare-acquired gram-negative urinary tract infection.
机构信息
Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6021, USA.
出版信息
Infect Control Hosp Epidemiol. 2011 Nov;32(11):1124-6. doi: 10.1086/662379. Epub 2011 Sep 29.
Abstract
Data from a case-control study were used to derive and internally validate a prediction rule for identifying fluoroquinolone resistance in healthcare-acquired gram-negative urinary tract infection. This prediction rule has an excellent sensitivity and specificity (C-statistic, 0.816). External validation is necessary before implementing this rule to optimize empirical antibiotic use in clinical practice.
摘要
利用病例对照研究的数据，推导出并内部验证了一个预测规则，用于识别医源性革兰氏阴性尿路感染中的氟喹诺酮耐药性。该预测规则具有出色的敏感性和特异性（C 统计量，0.816）。在将该规则付诸实践以优化临床实践中的经验性抗生素使用之前，需要进行外部验证。
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