Nina S Groeneveld, Merijn W Bijlsma, Diederik van de Beek, Matthijs C Brouwer
{"title":"儿科细菌性脑膜炎的生物标志物:诊断测试准确性的系统回顾和荟萃分析。","authors":"Nina S Groeneveld, Merijn W Bijlsma, Diederik van de Beek, Matthijs C Brouwer","doi":"10.1016/j.cmi.2024.12.009","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Biomarkers for paediatric bacterial meningitis are essential for an accurate diagnosis.</p><p><strong>Objectives: </strong>To perform a systematic review of diagnostic accuracy on cerebrospinal fluid (CSF) and blood biomarkers for paediatric bacterial meningitis.</p><p><strong>Data sources: </strong>Databases Medline, Excerpta Medica Database, Scopus, and Web of Science were used.</p><p><strong>Study eligibility criteria: </strong>Eligible studies were those on novel diagnostic CSF and blood biomarkers from which data on biomarker concentration or diagnostic accuracy could be abstracted.</p><p><strong>Participants: </strong>Paediatric patients (0-18 years) suspected of a central nervous system (CNS) infection.</p><p><strong>Assessment of risk of bias: </strong>The Quality Assessment tool for Diagnostic Accuracy Studies (QUADAS)-2 tool was used to assess risk of bias.</p><p><strong>Methods of data synthesis: </strong>The difference in biomarker concentrations were assessed by calculating standardized and weighted mean differences. A random-effects meta-analysis model was used. Hierarchical summary receiver-operating characteristic curves were constructed.</p><p><strong>Results: </strong>We identified 3435 studies, of which 112 articles on 113 individual biomarkers (CSF n = 90 and blood n = 23) were included. In CSF, C-reactive protein (CRP), Interleukin (IL)-6, Tumor necrosis factor (TNF)-α, and Interleukin (IL)-8 showed the largest mean differences between bacterial meningitis and viral meningitis and IL-6, TNF-α, and IL-8 between bacterial meningitis and no CNS infection/inflammation. CSF CRP and ferritin showed excellent discrimination for bacterial versus viral meningitis (summary area under the curve [sAUC] 0.94; 95% CI, 0.92-0.97, sAUC 0.94; 95% CI, 0.90-1.0). CSF IL-6 and procalcitonin showed excellent discrimination for bacterial versus nonbacterial meningitis and versus no CNS infection/inflammation (sAUC IL-6: 0.98; 95% CI, 0.96-1.00, sAUC procalcitonin: 0.96; 95% CI, 0.94-0.99). Procalcitonin in blood showed good discrimination (AUC, 0.89; 95% CI, 0.68-1.00).</p><p><strong>Discussion: </strong>We identified several CSF biomarkers with high diagnostic accuracy for the diagnosis of bacterial meningitis, including IL-6, procalcitonin, CRP, and ferritin. None of the blood biomarkers exhibited excellent discrimination for paediatric bacterial meningitis. 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引用次数: 0
摘要
背景:儿童细菌性脑膜炎的生物标志物对准确诊断至关重要:儿科细菌性脑膜炎的生物标志物对于准确诊断至关重要:对儿科细菌性脑膜炎的脑脊液(CSF)和血液生物标志物的诊断准确性进行系统回顾:数据来源:使用 Medline、Excerpta Medica Database、Scopus 和 Web of Science 等数据库:符合条件的研究是关于新型诊断性脑脊液和血液生物标记物的研究,这些研究中的生物标记物浓度或诊断准确性数据可以被摘录:疑似中枢神经系统(CNS)感染的儿童患者(0-18 岁):采用QUADAS-2工具评估偏倚风险:通过计算标准化和加权平均差来评估生物标志物浓度的差异。采用随机效应荟萃分析模型。构建了分层汇总接收者-操作特征曲线:我们确定了 3,435 项研究,其中 112 篇文章涉及 113 个生物标记物(CSF n=90,血液 n=23)。在 CSF 中,CRP、IL-6、TNF-α 和 IL-8 在细菌性脑膜炎和病毒性脑膜炎之间的平均差异最大,而 IL-6、TNF-α 和 IL-8 在细菌性脑膜炎和无中枢神经系统感染/炎症之间的平均差异最大。CSF CRP 和铁蛋白对细菌性脑膜炎和病毒性脑膜炎有很好的鉴别作用(曲线下面积 [sAUC] 0.94,95% CI 0.92-0.97;sAUC 0.94,95% CI 0.90-1.0)。CSF中的IL-6和降钙素原对细菌性与非细菌性脑膜炎以及无中枢神经系统感染/炎症有很好的鉴别作用(sAUC IL-6:0.98;95% CI 0.96-1.00;sAUC 降钙素原:0.96;95% CI 0.94-0.99)。血液中的降钙素显示出良好的分辨能力(AUC 0.89; 95% CI 0.68-1.00):我们发现了几种诊断细菌性脑膜炎准确率较高的脑脊液生物标志物,包括IL-6、降钙素原、CRP和铁蛋白。没有一种血液生物标记物对儿科细菌性脑膜炎有很好的鉴别力。需要在对疑似脑膜炎患儿进行的前瞻性设计良好的诊断准确性研究中对这些生物标志物进行验证:crd42022361785.
Biomarkers in paediatric bacterial meningitis: a systematic review and meta-analysis of diagnostic test accuracy.
Background: Biomarkers for paediatric bacterial meningitis are essential for an accurate diagnosis.
Objectives: To perform a systematic review of diagnostic accuracy on cerebrospinal fluid (CSF) and blood biomarkers for paediatric bacterial meningitis.
Data sources: Databases Medline, Excerpta Medica Database, Scopus, and Web of Science were used.
Study eligibility criteria: Eligible studies were those on novel diagnostic CSF and blood biomarkers from which data on biomarker concentration or diagnostic accuracy could be abstracted.
Participants: Paediatric patients (0-18 years) suspected of a central nervous system (CNS) infection.
Assessment of risk of bias: The Quality Assessment tool for Diagnostic Accuracy Studies (QUADAS)-2 tool was used to assess risk of bias.
Methods of data synthesis: The difference in biomarker concentrations were assessed by calculating standardized and weighted mean differences. A random-effects meta-analysis model was used. Hierarchical summary receiver-operating characteristic curves were constructed.
Results: We identified 3435 studies, of which 112 articles on 113 individual biomarkers (CSF n = 90 and blood n = 23) were included. In CSF, C-reactive protein (CRP), Interleukin (IL)-6, Tumor necrosis factor (TNF)-α, and Interleukin (IL)-8 showed the largest mean differences between bacterial meningitis and viral meningitis and IL-6, TNF-α, and IL-8 between bacterial meningitis and no CNS infection/inflammation. CSF CRP and ferritin showed excellent discrimination for bacterial versus viral meningitis (summary area under the curve [sAUC] 0.94; 95% CI, 0.92-0.97, sAUC 0.94; 95% CI, 0.90-1.0). CSF IL-6 and procalcitonin showed excellent discrimination for bacterial versus nonbacterial meningitis and versus no CNS infection/inflammation (sAUC IL-6: 0.98; 95% CI, 0.96-1.00, sAUC procalcitonin: 0.96; 95% CI, 0.94-0.99). Procalcitonin in blood showed good discrimination (AUC, 0.89; 95% CI, 0.68-1.00).
Discussion: We identified several CSF biomarkers with high diagnostic accuracy for the diagnosis of bacterial meningitis, including IL-6, procalcitonin, CRP, and ferritin. None of the blood biomarkers exhibited excellent discrimination for paediatric bacterial meningitis. Validation of these biomarkers in prospective, well-designed studies of diagnostic accuracy performed in children with suspected meningitis is needed.
期刊介绍:
Clinical Microbiology and Infection (CMI) is a monthly journal published by the European Society of Clinical Microbiology and Infectious Diseases. It focuses on peer-reviewed papers covering basic and applied research in microbiology, infectious diseases, virology, parasitology, immunology, and epidemiology as they relate to therapy and diagnostics.