A-301 Using a host-protein test (based on TRAIL/IP-10/CRP) to assess the likelihood of bacterial infection in patients with suspected sepsis

IF 6.3 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Roy Navon, Alon Angel, Boris Lebedenko, Lior Kellerman, Tanya Gottlieb, Eran Eden
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Abstract

Background Sepsis is a life-threatening syndrome requiring rapid identification and appropriate management, including timely treatment of bacterial infections. Biomarker-based tests aid in determining infection etiology and guiding clinical decisions for patients with suspected sepsis. MeMed BV (MMBV), a host-protein test for differentiating between bacterial and viral infection, is based on computational integration of the circulating levels of three biomarkers (TRAIL, IP-10, CRP). This study evaluates MMBV’s accuracy in identifying bacterial versus viral infections in hemodynamically stable patients with suspected sepsis. Methods A post-hoc analysis of patients recruited prospectively in three studies (Apollo NCT04690569, Observer NCT03011515, Curiosity NCT01917461). Patients were recruited in urgent care centers, emergency departments or internal wards. Patients meeting the eligibility criteria of the parent studies, aged =18 years and with suspected sepsis (defined as at least two SIRS criteria) were included in this analysis. Reference standard infection etiology was determined based on the parent studies, where three independent adjudicators, blinded to MMBV results, assigned bacterial or viral labels after reviewing comprehensive patient data. A unanimous label with =90% confidence was required. MMBV scores (0-100) were interpreted as bacterial/viral/equivocal according to manufacturer’s instructions. MMBV results were compared to the reference standard infection etiologies. Area under the receiver operating characteristic curve (ROC-AUC) was calculated including patients with equivocal results across all possible thresholds. When calculating other diagnostic accuracy parameters, equivocal cases were removed. Results Out of 527 potentially eligible patients, 134 were included (Figure 1A). Median age was 42 years (interquartile range (IQR): 30-65); 69 (52%) were female. 111 patients (82.8%) had two SIRS criteria; 22 (16.4%) had three; and one patient (0.7%) had four. The most common source of infection was the respiratory tract (73.9%). 53% of the patients were hospitalized with a median duration of 4 days (IQR: 3-7 days). Most patients (54%) had no microbiological confirmation in their medical record (even after the ED visit), 21% had a bacterial detection, 11% had viral detection and 14% had both bacterial and viral detections. Reference standard adjudication determined that 56% had a bacterial infection. MMBV results were viral for 53 (39.6%), bacterial for 72 (53.7%) patients, and equivocal for 9 (6.7%) patients. MMBV achieved AUC of 0.98 (95% confidence interval: 0.96-1.00). Among patients with non-equivocal MMBV results (Figure 1B), MMBV attained sensitivity of 97.2% (95%CI: 89.8-99.8), specificity of 96.2% (95%CI: 86.5-99.7), PPV of 97.2% (95%CI: 89.8-99.8) and NPV of 96.2% (95%CI: 86.5-99.7). Notably, the positive likelihood ratio of MMBV was 25.76 (95%CI: 6.61-100.39) and the negative likelihood ratio was 0.03 (95%CI: 0.01-0.11). Conclusion MMBV demonstrated high diagnostic accuracy in distinguishing bacterial from viral infections in adult patients with suspected sepsis. The use of this biomarker-based tool alongside clinical judgment may support timely decision-making in this high-risk population. Figure 1. Top: Flow of adult patients included in the analysis. Bottom: MeMed BV diagnostic performance. Patients with equivocal MMBV results (n=9, 6.7%) are excluded for diagnostic performance calculations.
a -301使用宿主蛋白试验(基于TRAIL/IP-10/CRP)评估疑似脓毒症患者细菌感染的可能性
败血症是一种危及生命的综合征,需要快速识别和适当管理,包括及时治疗细菌感染。基于生物标志物的测试有助于确定感染病因,并指导疑似败血症患者的临床决策。MeMed BV (MMBV)是一种用于区分细菌和病毒感染的宿主蛋白测试,基于三种生物标志物(TRAIL, IP-10, CRP)循环水平的计算整合。本研究评估MMBV在血流动力学稳定的疑似败血症患者中识别细菌与病毒感染的准确性。方法对三项前瞻性研究(Apollo NCT04690569、Observer NCT03011515、Curiosity NCT01917461)中招募的患者进行事后分析。患者在紧急护理中心、急诊科或内部病房招募。符合父母研究资格标准的患者,年龄=18岁,疑似脓毒症(定义为至少两个SIRS标准)被纳入本分析。参考标准感染病因是根据母体研究确定的,在母体研究中,三名独立的评审人员,对MMBV结果不知情,在审查全面的患者数据后分配细菌或病毒标签。需要一个具有=90%置信度的一致标签。MMBV评分(0-100)根据制造商说明解释为细菌/病毒/模棱两可。将MMBV结果与参考标准感染病因学进行比较。计算受试者工作特征曲线下的面积(ROC-AUC),包括在所有可能阈值上结果模棱两可的患者。在计算其他诊断准确性参数时,去除模棱两可的病例。结果在527名可能符合条件的患者中,134名患者被纳入(图1A)。中位年龄为42岁(四分位数间距(IQR): 30-65岁);女性69例(52%)。111例(82.8%)患者有两个SIRS标准;22名(16.4%)有3名;一名患者(0.7%)有4个。最常见的感染源为呼吸道(73.9%)。53%的患者住院时间中位数为4天(IQR: 3-7天)。大多数患者(54%)的医疗记录中没有微生物学证实(即使在急诊科就诊后),21%的患者有细菌检测,11%的患者有病毒检测,14%的患者有细菌和病毒检测。参考标准判定56%有细菌感染。MMBV结果为病毒性53例(39.6%),细菌性72例(53.7%),模棱两可9例(6.7%)。MMBV的AUC为0.98(95%置信区间:0.96-1.00)。在非模棱两可MMBV结果的患者中(图1B), MMBV的敏感性为97.2% (95%CI: 89.8-99.8),特异性为96.2% (95%CI: 86.5-99.7), PPV为97.2% (95%CI: 89.8-99.8), NPV为96.2% (95%CI: 86.5-99.7)。值得注意的是,MMBV阳性似然比为25.76 (95%CI: 6.61 ~ 100.39),阴性似然比为0.03 (95%CI: 0.01 ~ 0.11)。结论MMBV对成人疑似脓毒症的细菌感染和病毒感染具有较高的诊断准确率。将这种基于生物标志物的工具与临床判断一起使用,可能有助于在这一高危人群中及时做出决策。图1所示。上图:纳入分析的成人患者的流量。下图:MeMed BV诊断性能。MMBV结果不明确的患者(n=9, 6.7%)被排除在诊断性能计算之外。
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来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
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