Kelly Brendan J, Lautenbach Ebbing, Nachamkin Irving, Coffin Susan E, Gerber Jeffrey S, Fuchs Barry D, Garrigan Charles, Han Xiaoyan, Bilker Warren B, Wise Jacqueleen, Tolomeo Pam, Han Jennifer H
Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics and Epidemiology, Perelman School of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Diagn Microbiol Infect Dis. 2016 May;85(1):109-15. doi: 10.1016/j.diagmicrobio.2016.01.003. Epub 2016 Jan 8.
Among surgical intensive care unit (SICU) patients, it is difficult to distinguish bacterial sepsis from other causes of systemic inflammatory response syndrome (SIRS). Biomarkers have proven useful to identify the presence of bacterial infection. We enrolled a prospective cohort of 69 SICU patients with suspected sepsis and assayed the concentrations of 9 biomarkers (α-2 macroglobulin [A2M], C-reactive protein, ferritin, fibrinogen, haptoglobin, procalcitonin [PCT], serum amyloid A, serum amyloid P, and tissue plasminogen activator) at baseline, 24, 48, and 72hours. Forty-two patients (61%) had bacterial sepsis by chart review. A2M concentrations were significantly lower, and PCT concentrations were significantly higher in subjects with bacterial sepsis at 3 of 4 time points. Using optimal cutoff values, the combination of baseline A2M and 72-hour PCT achieved a negative predictive value of 75% (95% confidence interval, 54-96%). The combination of A2M and PCT discriminated bacterial sepsis from other SIRS among SICU patients with suspected sepsis.
在外科重症监护病房(SICU)患者中,很难将细菌性脓毒症与全身炎症反应综合征(SIRS)的其他病因区分开来。生物标志物已被证明有助于识别细菌感染的存在。我们纳入了一个由69名疑似脓毒症的SICU患者组成的前瞻性队列,并在基线、24小时、48小时和72小时时检测了9种生物标志物(α-2巨球蛋白[A2M]、C反应蛋白、铁蛋白、纤维蛋白原、触珠蛋白、降钙素原[PCT]、血清淀粉样蛋白A、血清淀粉样蛋白P和组织纤溶酶原激活剂)的浓度。通过病历审查,42名患者(61%)患有细菌性脓毒症。在4个时间点中的3个时间点,细菌性脓毒症患者的A2M浓度显著降低,PCT浓度显著升高。使用最佳临界值,基线A2M和72小时PCT的组合实现了75%的阴性预测值(95%置信区间为54-96%)。A2M和PCT的组合在疑似脓毒症的SICU患者中区分了细菌性脓毒症与其他SIRS。