[Diagnostic efficacy of metagenomic next-generation sequencing for intracranial bacterial infection pathogens after neurosurgery].

ABSTRACT

Objective: To explore the diagnostic efficacy of metagenomicnext-generation sequencing (mNGS) technique for pathogen diagnosis of intracranial infection after neurosurgery. Methods: Patients with suspected intracranial infection after neurosurgery who were treated in Beijing Tiantan Hospital of Capital Medical University from May 2017 to October 2018 were selected. Cerebrospinal fluid samples were collected for mNGS detection and bacterial culture. The sensitivity, specificity, positive predictive value and negative predictive value of these two methods were calculated, and their differences were compared. Results: A total of 80 cerebrospinal fluid samples from patient with suspected intracranial infection after neurosurgery were included, including 53 males and 27 females, with a mean age of (41±19) years old(age range 2-80 years).After clinical review, a clinical diagnosis was made by two neurosurgery specialists through comprehensively interpretation of the patient's clinical data, laboratory tests and imaging examinations. Finally, 42 cases of intracranial infection and 38 cases of non-infection were clinically diagnosed. The sensitivity and specificity of mNGS detection were 83.33%(35/42) and 76.32%(29/38), and the positive predictive value and negative predictive value were 79.55%(35/44) and 80.56%(29/36). Meanwhile, the sensitivity and specificity of bacterial culture were 59.52%(28/42) and 68.42%(26/38), the positive predictive value and negative predictive value were 68.00% (28/40) and 60.47%(26/40). The sensitivity of mNGS detection washigher than that of bacterial culture, and the difference was statistically significant(χ2=5.83, P=0.015).Compared with bacterial culture, there was no statistically significant difference in the specificity of mNGS detection(χ2=0.59, P=0.441). Conclusion: mNGS detection technique can improve the detection rate of intracranial infection pathogens after neurosurgery, and may become a promising auxiliary diagnostic tool for pathogen detection.