Kutz Alexander, Grolimund Eva, Christ-Crain Mirjam, Thomann Robert, Falconnier Claudine, Hoess Claus, Henzen Christoph, Zimmerli Werner, Mueller Beat, Schuetz Philipp
University Department of Medicine, Tellstrasse, CH-5001 Kantonsspital Aarau, Switzerland.
Department of Internal Medicine, Division of Endocrinology, Diabetes and Clinical Nutrition, University Hospital Basel, Basel, Switzerland.
BMC Anesthesiol. 2014 Nov 15;14:102. doi: 10.1186/1471-2253-14-102. eCollection 2014.
Blood biomarkers are increasingly used to diagnose, guide therapy in, and risk-stratify community-acquired pneumonia (CAP) patients in emergency departments (EDs). How pre-analytic factors affect these markers' initial levels in this population is unknown.
In this secondary analysis of consecutive ED patients with CAP from a large multicentre antibiotic stewardship trial, we used adjusted multivariate regression models to determine the magnitude and statistical significance of differences in mean baseline concentrations of five biomarkers (procalcitonin [PCT], C-reactive protein [CRP], white blood cells count [WBC], proadrenomedullin [ProADM], copeptin) associated with six pre-analytic factors (antibiotic or corticosteroid pretreatment, age, gender, chronic renal failure or chronic liver insufficiency).
Of 925 CAP patients (median age 73 years, 58.8% male), 25.5% had antibiotic pretreatment, 2.4%, corticosteroid pretreatment, 22.3%, chronic renal failure, 2.4% chronic liver insufficiency. Differences associated with pre-analytic factors averaged 6.1% ± 4.6%; the three largest statistically significant changes (95% confidence interval) were: PCT, +14.2% (+2.1% to +26.4%, p = 0.02) with liver insufficiency; ProADM, +13.2% (+10.2% to +16.1%, p < 0.01) with age above median; CRP, -12.8% (-25.4% to -0.2%, p = 0.05) with steroid pretreatment. In post hoc sensitivity analyses, reclassification statistics showed that these factors did not result in significant changes of biomarker levels across clinically used cut-off ranges.
Despite statistically significant associations of some pre-analytic factors and biomarker levels, a clinically relevant influence seems unlikely. Our observations reinforce the concept of using biomarkers in algorithms with widely-separated cut-offs and overruling criteria considering the entire clinical picture.
Identifier ISRCTN95122877.
血液生物标志物越来越多地用于急诊科(ED)社区获得性肺炎(CAP)患者的诊断、治疗指导和风险分层。目前尚不清楚分析前因素如何影响该人群中这些标志物的初始水平。
在一项大型多中心抗生素管理试验中,对连续的CAP急诊患者进行二次分析,我们使用校正后的多变量回归模型来确定与六个分析前因素(抗生素或皮质类固醇预处理、年龄、性别、慢性肾衰竭或慢性肝功能不全)相关的五种生物标志物(降钙素原[PCT]、C反应蛋白[CRP]、白细胞计数[WBC]、肾上腺髓质素原[ProADM]、 copeptin)的平均基线浓度差异的大小和统计学意义。
在925例CAP患者(中位年龄73岁,58.8%为男性)中,25.5%接受过抗生素预处理,2.4%接受过皮质类固醇预处理,22.3%患有慢性肾衰竭,2.4%患有慢性肝功能不全。与分析前因素相关的差异平均为6.1%±4.6%;三个最大的具有统计学意义的变化(95%置信区间)为:肝功能不全时PCT升高14.2%(+2.1%至+26.4%,p = 0.02);年龄高于中位数时ProADM升高13.2%(+10.2%至+16.1%,p < 0.01);类固醇预处理时CRP降低12.8%(-25.4%至-0.2%,p = 0.05)。在事后敏感性分析中,重新分类统计显示这些因素在临床使用的截断范围内未导致生物标志物水平的显著变化。
尽管一些分析前因素与生物标志物水平存在统计学上的显著关联,但似乎不太可能产生临床相关影响。我们的观察结果强化了在算法中使用生物标志物的概念,该算法具有广泛分离的截断值和考虑整个临床情况的否决标准。
标识符ISRCTN95122877。