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宏基因组二代测序揭示了多微生物性脊柱感染发病机制的决定因素。

Metagenomic NGS reveals determinants of polymicrobial spinal infection pathogenesis.

作者信息

Li Cheng, Zhu Jichong, Wang Ye, Jiang Wenyong, Lin Yang

机构信息

Department of Orthopaedics, Guilin People's Hospital, 12 Wenming Road, Guilin, 541002, Guangxi Province, China.

出版信息

Sci Rep. 2025 Apr 22;15(1):13959. doi: 10.1038/s41598-025-99283-3.

Abstract

To explore the influencing factors of spinal mixed infection under mNGS-assisted detection. A retrospective analysis was conducted on the general clinical data of patients diagnosed with spinal infections at Guilin People's Hospital, covering the period from October 2022 to October 2024, to evaluate the effectiveness of different treatment modalities including conservative, pharmacological, and surgical interventions. In the end, a total of 45 cases were included, including 18 cases of mixed infection and 27 cases of single infection. The receiver operating characteristic (ROC) curve was utilized to evaluate the predictive efficacy of various indices for the occurrence of mixed infection in patients with spinal infections, with the curve's proximity to the top left corner indicating higher diagnostic accuracy. Multivariate Logistic regression was used to analyze the independent risk factors affecting the development of mixed infection in patients with spinal infection. No significant differences were found between the two groups regarding gender, smoking, alcohol consumption, hypertension, albumin levels, liver function, malignancy, or rheumatic immune disease history (P > 0.05). However, the mixed infection group had significantly higher proportions of patients aged > 60 years (78% (14/18) vs. 48% (13/27)), diabetes mellitus (44% (8/18) vs. 15% (4/27)), chronic kidney disease (17% (3/18) vs. 0.00 (0/27)), and previous spinal surgery (39% (7/18) vs. 11% (3/27)), along with lower BMI (20.70 ± 2.15 vs. 24.04 ± 3.76) and hemoglobin levels (105.17 ± 14.05 g/L vs. 117.48 ± 18.08 g/L). The results of the ROC curve analysis showed that the area under the curve for BMI and hemoglobin in predicting the occurrence of mixed infection in patients was 0.787 and 0.704, respectively, with optimal cutoff values of 21.12 kg/m and 119 g/L. Multivariate logistic regression identified BMI < 21.12 kg/m, hemoglobin < 119 g/L, and diabetes as independent risk factors. Lower BMI, diabetes and hemoglobin are independent risk factors for spinal mixed infection. Increasing BMI, effectively controlling blood glucose and improving anemia are helpful to reduce the occurrence of spinal mixed infection.

摘要

为探讨宏基因组测序(mNGS)辅助检测下脊柱混合感染的影响因素。对桂林市人民医院2022年10月至2024年10月期间诊断为脊柱感染患者的一般临床资料进行回顾性分析,以评估包括保守治疗、药物治疗和手术干预在内的不同治疗方式的有效性。最终纳入45例患者,其中混合感染18例,单一感染27例。采用受试者工作特征(ROC)曲线评估各种指标对脊柱感染患者混合感染发生的预测效能,曲线越靠近左上角表明诊断准确性越高。采用多因素Logistic回归分析影响脊柱感染患者混合感染发生发展的独立危险因素。两组在性别、吸烟、饮酒、高血压、白蛋白水平、肝功能、恶性肿瘤或风湿免疫病史方面无显著差异(P>0.05)。然而,混合感染组年龄>60岁患者的比例显著更高(78%(14/18)对48%(13/27))、糖尿病患者比例(44%(8/18)对15%(4/27))、慢性肾脏病患者比例(17%(3/18)对0.00(0/[27]))以及既往脊柱手术史患者比例(39%(7/18)对11%(3/27)),同时体重指数(BMI)更低(20.70±2.15对24.04±3.76)和血红蛋白水平更低(105.17±14.05 g/L对117.48±18.08 g/L)。ROC曲线分析结果显示,BMI和血红蛋白预测患者混合感染发生的曲线下面积分别为0.787和0.704,最佳截断值分别为21.12 kg/m²和119 g/L。多因素Logistic回归确定BMI<21.12 kg/m²、血红蛋白<119 g/L和糖尿病为独立危险因素。较低的BMI、糖尿病和血红蛋白是脊柱混合感染的独立危险因素。提高BMI、有效控制血糖和改善贫血有助于减少脊柱混合感染的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34c8/12015277/202620e829e2/41598_2025_99283_Fig1_HTML.jpg

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