ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2022
Diagnostic efficiency of metagenomic next-generation sequencing on spinal infection and prognosis.
Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Comparative diagnostic performance of metagenomic next-generation sequencing and conventional microbial culture in spinal infections: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2026Pooled it
- Metagenomic next-generation sequencing for the clinical identification of spinal infection-associated pathogens.Frontiers in cellular and infection microbiology · 2024Article
- Metagenomics by next-generation sequencing (mNGS) in the etiological characterization of neonatal and pediatric sepsis: A systematic review.Frontiers in pediatrics · 2023Review
- Case Report: Metagenomic Next-Generation Sequencing Confirmed a Case of Spine Infection withInfection and drug resistance · 2023Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
objectivesSpinal infection is a rare infectious disease that is difficult to treat. The incidence of spinal infection is on the rise with the experiential use of antibiotics, the increasing incidence of drug-resistant bacteria, and the improvement of detection techniques. Traditional detection methods have limitations such as low sensitivity and long time-consuming in the diagnosis of spinal infection. In the clinical diagnosis and treatment of spinal infection, it has always been the focus and difficulty to determine the type of pathogens and to use antibiotics in a targeted manner. Many patients in the early stage of spinal infection due to the limitations of traditional detection methods cannot be quickly and accurately diagnosed, resulting in diagnosis delay, missed the best treatment time, bringing disastrous consequences to patients. There is an urgent need for a high-specificity, high-sensitivity, and time-saving test technique in clinical practice, which can simultaneously distinguish and identify the pathogen of spinal infection. Metagenomic next-generation sequencing (mNGS) is a new frontier technology emerging in recent years. It can detect all known pathogens in samples and has been used to diagnose clinically atypical and rare infectious diseases. This study aims to analyze the sensitivity of mNGS technique in diagnosing pathogens after spinal infection and its effect on prognosis.
methodsClinical data of 82 patients with spinal infection admitted to Xiangya Hospital of Central South University from January 2019 to December 2021 were retrospectively analyzed. Peripheral blood erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and procalcitonin (PCT) were routinely performed before surgery, and focal tissue specimens were obtained during surgery. Microbial culture, histopathological examination, and mNGS detection were performed. All patients were assigned into a targeted medication group (
resultsThe positive rate of mNGS (86.59%, 71/82) was significantly higher than that of microbial culture (18.99%, 15/79) and PCT (30.23%, 13/43). There were no significant differences in preoperative temperature, white blood cell count, neutrophil ratio, and scores of Visual Analogue Scale between the targeted medication group and the experienced treatment group. Preoperative use of antibiotics had no significant effect on the positive rate of mNGS and microbial culture (
conclusionsCompared with the microbial culture or PCT, mNGS has a higher sensitivity rate to detect pathogens of spinal infection. Patients receiving targeted antibiotics based on the results of mNGS have better outcomes than those receiving the experienced medicine.
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