• Chuqiang Yin, Yanan Cong, Huafeng Wang, Dechun Wang, Xizhong Yang, Xuesong Wang, and Ting Wang.
• Department of Spinal Surgery, the Affiliated Hospital of Qingdao University, Shandong, China.
• Spine. 2025 Feb 15; 50 (4): E70E75E70-E75.

Study DesignA retrospective, observational study.ObjectiveTo evaluate the ability and value of metagenomic next-generation sequencing (mNGS) in detecting pathogens from spinal infections.BackgroundThe pathogenic diagnosis of primary spinal infection is challenging. The widespread application of mNGs in clinical practice makes it particularly useful in detecting rare, emerging, and atypical complex infectious diseases.MethodsFrom January 2019 to December 2023, 120 samples were retrospectively collected from patients suspected of spinal infections and undergoing treatment. Pairwise comparisons between traditional laboratory tests and mNGS were conducted for all cases.ResultsAmong the 120 cases, 95 were diagnosed as spinal infections, while 25 were classified as noninfectious. Microbiological evidence was found in 59 cases, while 36 cases were clinically diagnosed as spinal infections without definitive microbiological evidence. Rare microorganisms such as Aspergillus fumigatus , Taifanglania major , and Coxiella burnetii were detected by mNGS. The positive rate of mNGS was significantly higher at 88.42% compared with microbiological culture (43.16%), P <0.001. At the genus level, mNGS exhibited a consistency rate of 86.44% (51/59) with confirmed microorganisms. MNGS demonstrated very good agreement with clinically confirmed microorganisms at the genus level (κ=0.833). The sensitivity, specificity, positive predictive value, and negative predictive value of mNGS were 86.44%, 92.00%, 96.23%, and 74.19%, respectively.ConclusionsThe mNGS test exhibits rapidity, efficiency, and accuracy, rendering it of immense diagnostic and therapeutic value in the realm of spinal infection diseases.Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.

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