Multicenter study on the detection of pathogens in primary infectious diseases of the spine using metagenomic next-generation sequencing technology
10.3760/cma.j.cn112139-20240715-00337
- VernacularTitle:利用宏基因组二代测序技术检测原发性脊柱感染性疾病病原体的多中心研究
- Author:
Zhaohui LI
1
;
Qiang ZHANG
;
Huafeng WANG
;
Tengbo YU
;
Yuelei WANG
;
Jinlong MA
;
Chuqiang YIN
;
Feng SHEN
;
Yidan XU
;
Xiaofeng LIAN
;
Ting WANG
Author Information
1. 青岛大学附属医院脊柱外科，青岛 266000
- Keywords:
Spinal diseases;
Infection;
Genome;
Metagenomics next-generation sequencing;
Spinal infections;
Pathogenic spectrum;
Etiological diagnosis
- From:
Chinese Journal of Surgery
2024;62(12):1128-1135
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.
