Division of Internal Medicine, University Hospital Basel, 4031 Basel, Switzerland.
Eur J Clin Microbiol Infect Dis. 2010 Mar;29(3):269-77. doi: 10.1007/s10096-009-0851-0. Epub 2009 Dec 29.
All published evidence on procalcitonin (PCT)-guided antibiotic therapy was obtained in trials where physicians knew that they were being monitored, possibly resulting in higher adherence to the PCT algorithm. This study investigates the effectiveness of PCT guidance in an observational quality control survey. We monitored antibiotic therapy and algorithm adherence in consecutive patients with respiratory tract infections admitted to the Kantonsspital Aarau, Switzerland, between May 2008 and February 2009. The results were compared to the site-specific results of the former ProHOSP study. Overall and more pronounced for patients with community-acquired pneumonia, the median duration of antibiotic treatment in this survey was shorter than the ProHOSP control patients (6 vs. 7 days, P = 0.048 and 7 vs. 9 days, P < 0.001). In 72.5% of patients, antibiotics were administered according to the prespecified PCT algorithm. No significant differences concerning adverse medical outcome could be detected. This study mirrors the use of PCT-guided antibiotic therapy in clinical practice, outside of trial conditions. If algorithm adherence is reinforced, antibiotic exposure can be markedly reduced with subsequent reduction of antibiotic-associated side effects and antibiotic resistance. The integration of the PCT algorithm into daily practice requires ongoing reinforcement and involves a learning process of the prescribing physicians.
所有关于降钙素原(PCT)指导抗生素治疗的已发表证据均来自于试验,在这些试验中,医生知道自己正在被监测,这可能导致他们更遵守 PCT 算法。本研究在一项观察性质量控制调查中调查了 PCT 指导的有效性。我们监测了瑞士阿劳州立医院连续呼吸道感染患者的抗生素治疗和算法依从性,时间为 2008 年 5 月至 2009 年 2 月。结果与前 ProHOSP 研究的特定地点结果进行了比较。在本调查中,无论在总体上还是在社区获得性肺炎患者中,抗生素治疗的中位持续时间都短于 ProHOSP 对照组(分别为 6 天与 7 天,P = 0.048 和 7 天与 9 天,P < 0.001)。在 72.5%的患者中,抗生素是根据预先指定的 PCT 算法使用的。在不良医疗结果方面,未发现明显差异。本研究反映了临床试验之外临床实践中 PCT 指导抗生素治疗的应用。如果强化算法依从性,可以显著减少抗生素暴露,从而减少抗生素相关副作用和抗生素耐药性。将 PCT 算法纳入日常实践需要持续加强,并涉及处方医生的学习过程。