Chu David C, Mehta Anuj B, Walkey Allan J
The Pulmonary Center, Boston University School of Medicine and Division of Pulmonary, Allergy, and Critical Care Medicine Internal Medicine, and.
Center for Implementation and Improvement Sciences, Boston Medical Center, Massachusetts.
Clin Infect Dis. 2017 Jun 1;64(11):1509-1515. doi: 10.1093/cid/cix179.
BACKGROUND.: Randomized trials support use of procalcitonin (PCT)-based algorithms to decrease duration of antibiotics for critically ill patients with sepsis. However, current use of PCT and associated outcomes in real-world clinical settings is unclear. We sought to determine PCT use in critically ill patients with sepsis in the United States and to examine associations between PCT use and clinical outcomes.
METHODS.: This was a retrospective cohort study of approximately 20% of patients with sepsis hospitalized in US intensive care units. Hierarchical regression models were used to determine associations of PCT use with outcomes (antibiotic-days, incidence of Clostridium difficile infection, and in-hospital mortality). Sensitivity analyses were conducted to assess robustness of findings to different methods used to address unmeasured confounding (eg, instrumental variable, difference-in-differences analyses).
RESULTS.: Among 20750 critically ill patients with sepsis in 107 hospitals with PCT available, 3769 (18%) patients had PCT levels checked; 1119 (29.7%) had serial PCT measurements. PCT use was associated with increased antibiotic-days (adjusted relative risk, 1.1; 95% confidence interval [CI], 1.15-1.18) and incidence of C. difficile (adjusted odds ratio, 1.42; 95% CI, 1.09-1.85) without a change in mortality (adjusted hazard ratio, 1.05; 95% CI, 0.93-1.19). Analysis of PCT use by instrumental variable and difference-in-difference analyses showed similar lack of antibiotic or outcome improvements associated with PCT use.
CONCLUSIONS.: PCT use was not associated with improved antibiotic use or other clinical outcomes in real-world settings. Programs to improve implementation of PCT-based strategies are warranted prior to widespread adoption.
随机试验支持使用基于降钙素原(PCT)的算法来缩短脓毒症重症患者的抗生素使用时长。然而,目前在实际临床环境中PCT的使用情况及相关结果尚不清楚。我们旨在确定美国脓毒症重症患者中PCT的使用情况,并研究PCT使用与临床结果之间的关联。
这是一项对美国重症监护病房中约20%的脓毒症住院患者进行的回顾性队列研究。采用分层回归模型来确定PCT使用与结果(抗生素使用天数、艰难梭菌感染发生率和住院死亡率)之间的关联。进行敏感性分析以评估研究结果对用于处理未测量混杂因素的不同方法(如工具变量、差异分析)的稳健性。
在107家可获取PCT的医院中,20750例脓毒症重症患者中,有3769例(18%)患者进行了PCT水平检测;1119例(29.7%)进行了连续PCT测量。PCT的使用与抗生素使用天数增加(调整后的相对风险,1.1;95%置信区间[CI],1.15 - 1.18)和艰难梭菌感染发生率增加(调整后的优势比,1.42;95%CI,1.09 - 1.85)相关,而死亡率无变化(调整后的风险比,1.05;95%CI,0.93 - 1.19)。通过工具变量和差异分析对PCT使用情况的分析表明,PCT使用与抗生素使用或结果改善之间同样缺乏关联。
在实际环境中,PCT的使用与抗生素使用改善或其他临床结果无关。在广泛采用之前,有必要开展相关项目以改善基于PCT策略的实施情况。