首页> 外文期刊>Clinical microbiology and infection: European Society of Clinical Microbiology and Infectious Diseases >Clinical characterisation of pneumonia caused by atypical pathogens combining classic and novel predictors.
【24h】

Clinical characterisation of pneumonia caused by atypical pathogens combining classic and novel predictors.

机译:经典和新型预测因子组合非典型病原体引起的肺炎患者的临床特征。

获取原文
获取原文并翻译 | 示例
           

摘要

The aim of this study was to characterise community-acquired pneumonia (CAP) caused by atypical pathogens by combining distinctive clinical and epidemiological features and novel biological markers. A population-based prospective study of consecutive patients with CAP included investigation of biomarkers of bacterial infection, e.g., procalcitonin, C-reactive protein and lipopolysaccharide-binding protein (LBP) levels. Clinical, radiological and laboratory data for patients with CAP caused by atypical pathogens were compared by univariate and multivariate analysis with data for patients with typical pathogens and patients from whom no organisms were identified. Two predictive scoring models were developed with the most discriminatory variables from multivariate analysis. Of 493 patients, 94 had CAP caused by atypical pathogens. According to multivariate analysis, patients with atypical pneumonia were more likely to have normal white blood cell counts, have repetitive air-conditioning exposure, be aged <65 years, have elevated aspartate aminotransferase levels, have been exposed to birds, and have lower serum levels of LBP. Two different scoring systems were developed that predicted atypical pathogens with sensitivities of 35.2% and 48.8%, and specificities of 93% and 91%, respectively. The combination of selected patient characteristics and laboratory data identified up to half of the cases of atypical pneumonia with high specificity, which should help clinicians to optimise initial empirical therapy for CAP.
机译:本研究的目的是通过组合独特的临床和流行病学特征和新的生物标志物来表征由非典型病原体引起的社区获得的肺炎(帽)。一种基于人群的盖帽患者的前瞻性研究包括细菌感染的生物标志物的调查,例如procalcitonin,C反应蛋白和脂多糖结合蛋白(LBP)水平。通过单变量和多变量分析与典型病原体和没有鉴定生物的患者的患者的数据进行多元化和多变量分析,比较了由非典型病原体引起的帽子患者的临床,放射和实验室数据。两种预测评分模型是由多变量分析的最辨别变量开发的。在493例患者中,94例由非典型病原体引起的帽。根据多变量分析,患有非典型肺炎的患者更可能具有正常的白细胞计数,具有重复的空调暴露,年龄<65岁,已升高的天冬氨酸氨基转移酶水平,已暴露于鸟类,并具有较低的血清水平LBP。开发了两种不同的评分系统,其预测有敏感性的非典型病原体35.2%和48.8%,特异性分别为93%和91%。所选患者特征和实验室数据的组合鉴定出具有高特异性的非典型肺炎病例的一半,这应该有助于临床医生优化帽的初始实证治疗。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号