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©The Author(s) 2022.
World J Clin Cases. Aug 6, 2022; 10(22): 7760-7771
Published online Aug 6, 2022. doi: 10.12998/wjcc.v10.i22.7760
Published online Aug 6, 2022. doi: 10.12998/wjcc.v10.i22.7760
Table 3 Performance of metagenomic next-generation sequencing and the conventional methods in the diagnosis of central nervous system bacterial infections
Sensitivity | Specificity | Accuracy | Positive predictive value | Negative predictive value | |
Conventional methods+ | 14.3% (8.5%, 23.6%) | 84.6% (64.3%, 95.0%) | 33.3% (24.2%, 43.8%) | 71.4% (42.0%, 90.4%) | 26.8% (17.9%, 37.9%) |
mNGS+ | 65.7% (53.3%, 76.4%) | 88.5% (68.7%, 97.0%) | 71.9% (61.6%, 80.3%) | 93.9% (82.1%, 98.4%) | 48.9% (34.3%, 63.7%) |
P value | < 0.001 | 1.000 | < 0.001 | 0.061 | 0.011 |
- Citation: Chen YY, Guo Y, Xue XH, Pang F. Application of metagenomic next-generation sequencing in the diagnosis of infectious diseases of the central nervous system after empirical treatment. World J Clin Cases 2022; 10(22): 7760-7771
- URL: https://www.wjgnet.com/2307-8960/full/v10/i22/7760.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i22.7760