Cell population data for early detection of sepsis in patients with suspected infection in the emergency department.

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Clinical chemistry and laboratory medicine Pub Date : 2025-04-11 Print Date: 2025-07-28 DOI:10.1515/cclm-2025-0180
Marta Cancella De Abreu, Caren Brumpt, Timothé Sala, Nathalie Oueidat, Martin Larsen, Pierre Hausfater
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引用次数: 0

Abstract

Objectives: Traditional biomarkers used for sepsis diagnosis have limited sensitivity and specificity and, so far, are not recommended for sepsis diagnosis. We aimed to evaluate diagnostic accuracy of XN-9000® hematology analyzer derived cell population data (CPD) for sepsis.

Methods: We conducted a cross-sectional cohort study on patients admitted to an emergency department (ED) with a suspicion of infection, having a complete blood count with differential (CBC-Diff). CBC-Diff were performed on XN-9000® analyzer (Sysmex, Kobe, Japan). CPD were measured routinely for each CBC-Diff ordered by ED physician. They include: neutrophils-related - Neut-GI and Neut-RI; monocytes-related - Mono-X, Mono-Z, Re-Mono and Mono-Y; IG referring to immature granulocytes; and lymphocytes-related - As-lymp and Re-lymp. Intensive care infection (ICIS) and neutrophile and monocyte (NEMO) scores were calculated using several CPD parameters. Diagnostic performance of each biomarker was computed together with receiver operating characteristic curves for sepsis diagnosis (according to Sepsis-3 definition).

Results: A total of 1,155 patients with a suspicion of infection were included and 230 had sepsis. Median age was 64 years and 49 % were female. Except for lymphocyte count with an area under the receiver operating characteristic (AUROC) of 0.67 (95 % confidential interval 0.63-0.70), the other CPD exhibited modest performances with AUROC under 0.65. The ICIS and NEMO scores had a modest performance with AUROC of 0.56 (0.52-0.61) and 0.55 (0.51-0.59) respectively.

Conclusions: None of the biomarkers and scores tested demonstrated sufficient diagnostic accuracy to be recommended for routine sepsis screening in the ED.

急诊科疑似感染患者脓毒症早期检测的细胞群数据
目的:用于脓毒症诊断的传统生物标志物敏感性和特异性有限,迄今为止不推荐用于脓毒症诊断。我们旨在评估XN-9000®血液学分析仪衍生细胞群数据(CPD)对败血症的诊断准确性。方法:我们对急诊(ED)疑似感染的患者进行了横断面队列研究,患者有全血细胞计数和差异(CBC-Diff)。CBC-Diff在XN-9000®分析仪(Sysmex, Kobe, Japan)上测定。每一个CBC-Diff由急诊科医生常规测量CPD。它们包括:中性粒细胞相关- Neut-GI和Neut-RI;单核细胞相关- Mono-X, Mono-Z, Re-Mono和Mono-Y;IG指未成熟的粒细胞;以及淋巴细胞相关的淋巴细胞,如淋巴细胞瘤和淋巴细胞瘤。重症监护感染(ICIS)和中性粒细胞和单核细胞(NEMO)评分计算使用几个CPD参数。计算各生物标志物的诊断性能,并结合脓毒症诊断的患者工作特征曲线(根据脓毒症-3定义)。结果:共纳入疑似感染患者1155例,败血症患者230例。中位年龄为64岁,49% %为女性。除了淋巴细胞计数为0.67(95 %保密区间0.63-0.70),其他CPD表现一般,AUROC低于0.65。ICIS和NEMO评分表现一般,AUROC分别为0.56(0.52-0.61)和0.55(0.51-0.59)。结论:没有一项生物标志物和评分测试显示出足够的诊断准确性,可推荐用于急诊科的常规败血症筛查。
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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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