Ramoji Anuradha, Thomas-Rüddel Daniel, Ryabchykov Oleg, Bauer Michael, Arend Natalie, Giamarellos-Bourboulis Evangelos J, Eugen-Olsen Jesper, Kiehntopf Michael, Bocklitz Thomas, Popp Jürgen, Bloos Frank, Neugebauer Ute
Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
Crit Care Explor. 2021 May 12;3(5):e0394. doi: 10.1097/CCE.0000000000000394. eCollection 2021 May.
Leukocytes are first responders to infection. Their activation state can reveal information about specific host immune response and identify dysregulation in sepsis. This study aims to use the Raman spectroscopic fingerprints of blood-derived leukocytes to differentiate inflammation, infection, and sepsis in hospitalized patients. Diagnostic sensitivity and specificity shall demonstrate the added value of the direct characterization of leukocyte's phenotype.
Prospective nonrandomized, single-center, observational phase-II study (DRKS00006265).
Jena University Hospital, Germany.
Sixty-one hospitalized patients (19 with sterile inflammation, 23 with infection without organ dysfunction, 18 with sepsis according to Sepsis-3 definition).
None (blood withdrawal).
Individual peripheral blood leukocytes were characterized by Raman spectroscopy. Reference diagnostics included established clinical scores, blood count, and biomarkers (C-reactive protein, procalcitonin and interleukin-6). Binary classification models using Raman data were able to distinguish patients with infection from patients without infection, as well as sepsis patients from patients without sepsis, with accuracies achieved with established biomarkers. Compared with biomarker information alone, an increase of 10% (to 93%) accuracy for the detection of infection and an increase of 18% (to 92%) for detection of sepsis were reached by adding the Raman information. Leukocytes from sepsis patients showed different Raman spectral features in comparison to the patients with infection that point to the special immune phenotype of sepsis patients.
Raman spectroscopy can extract information on leukocyte's activation state in a nondestructive, label-free manner to differentiate sterile inflammation, infection, and sepsis.
白细胞是感染的第一反应者。它们的激活状态可以揭示有关特定宿主免疫反应的信息,并识别脓毒症中的失调情况。本研究旨在利用血液来源白细胞的拉曼光谱指纹来区分住院患者的炎症、感染和脓毒症。诊断敏感性和特异性应能证明白细胞表型直接表征的附加价值。
前瞻性非随机、单中心、观察性II期研究(DRKS00006265)。
德国耶拿大学医院。
61名住院患者(19名患有无菌性炎症,23名患有无器官功能障碍的感染,18名根据脓毒症-3定义患有脓毒症)。
无(采血)。
通过拉曼光谱对个体外周血白细胞进行表征。参考诊断包括既定的临床评分、血常规和生物标志物(C反应蛋白、降钙素原和白细胞介素-6)。使用拉曼数据的二元分类模型能够区分感染患者和未感染患者,以及脓毒症患者和非脓毒症患者,其准确率与既定生物标志物相当。与单独的生物标志物信息相比,添加拉曼信息后,感染检测准确率提高了10%(至93%),脓毒症检测准确率提高了18%(至92%)。与感染患者相比,脓毒症患者的白细胞显示出不同拉曼光谱特征,这表明脓毒症患者具有特殊的免疫表型。
拉曼光谱可以以非破坏性、无标记的方式提取白细胞激活状态的信息,以区分无菌性炎症、感染和脓毒症。