West China School of Medicine, Sichuan University, Chengdu, China.
Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
BMC Infect Dis. 2024 Jan 18;24(1):103. doi: 10.1186/s12879-024-09010-y.
Detecting pathogens in pediatric central nervous system infection (CNSI) is still a major challenge in medicine. In addition to conventional diagnostic patterns, metagenomic next-generation sequencing (mNGS) shows great potential in pathogen detection. Therefore, we systematically evaluated the diagnostic performance of mNGS in cerebrospinal fluid (CSF) in pediatric patients with CNSI.
Related literature was searched in the Web of Science, PubMed, Embase, and Cochrane Library. We screened the literature and extracted the data according to the selection criteria. The quality of included studies was assessed by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool and the certainty of the evidence was measured by the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) score system. Then, the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odd's ratio (DOR), and area under the curve (AUC) of the summary receiver operating characteristic curve (sROC) were estimated in Stata Software and MetaDisc. Subgroup analyses were performed to investigate the potential factors that influence the diagnostic performance.
A total of 10 studies were included in the meta-analysis. The combined sensitivity was 0.68 (95% confidence interval [CI]: 0.59 to 0.76, I = 66.77%, p < 0.001), and the combined specificity was 0.89 (95% CI: 0.80 to 0.95, I = 83.37%, p < 0.001). The AUC of sROC was 0.85 (95% CI, 0.81 to 0.87). The quality level of evidence elevated by the GRADE score system was low.
Current evidence shows that mNGS presents a good diagnostic performance in pediatric CNSI. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
在儿科中枢神经系统感染(CNSI)中检测病原体仍然是医学上的一大挑战。除了传统的诊断模式外,宏基因组下一代测序(mNGS)在病原体检测方面显示出巨大的潜力。因此,我们系统地评估了 mNGS 在儿科 CNSI 患者脑脊液(CSF)中的诊断性能。
在 Web of Science、PubMed、Embase 和 Cochrane Library 中检索相关文献。我们根据选择标准筛选文献并提取数据。使用 Quality Assessment of Diagnostic Accuracy Studies-2(QUADAS-2)工具评估纳入研究的质量,并使用 Grading of Recommendations,Assessment,Development,and Evaluations(GRADE)评分系统测量证据的确定性。然后,在 Stata 软件和 MetaDisc 中估计汇总受试者工作特征曲线(sROC)的合并敏感性、特异性、阳性似然比(PLR)、阴性似然比(NLR)、诊断比值比(DOR)和曲线下面积(AUC)。进行亚组分析以探讨潜在影响诊断性能的因素。
共有 10 项研究纳入荟萃分析。合并敏感性为 0.68(95%置信区间[CI]:0.59 至 0.76,I=66.77%,p<0.001),合并特异性为 0.89(95%CI:0.80 至 0.95,I=83.37%,p<0.001)。sROC 的 AUC 为 0.85(95%CI,0.81 至 0.87)。GRADE 评分系统提高的证据质量水平为低。
目前的证据表明,mNGS 在儿科 CNSI 中具有良好的诊断性能。由于纳入研究的质量和数量有限,需要更多高质量的研究来验证上述结论。