Identification of pathogen composition in a Chinese population with iatrogenic and native vertebral osteomyelitis by using mNGS.

BACKGROUND: Early antimicrobial therapy is crucial regarding the prognosis of vertebral osteomyelitis, but early pathogen diagnosis remains challenging. OBJECTIVE: In this study, we aimed to differentiate the types of pathogens in iatrogenic vertebral osteomyelitis (IVO) and native vertebral osteomyelitis (NVO) to guide early antibiotic treatment. METHODS: A total of 145 patients, who had confirmed spinal infection and underwent metagenomic next-generation sequencing (mNGS) testing, were included, with 114 in the NVO group and 31 in the IVO group. Using mNGS, we detected and classified 53 pathogens in the 31 patients in the IVO group and 169 pathogens in the 114 patients in the NVO group. To further distinguish IVO from NVO, we employed machine learning algorithms to select serum biomarkers and developed a nomogram model. RESULTS: The results revealed that the proportion of the Actinobacteria phylum in the NVO group was approximately 28.40%, which was significantly higher than the 15.09% in the IVO group. Conversely, the proportion of the Firmicutes phylum (39.62%) in the IVO group was markedly increased compared to the 21.30% in the NVO group. Further genus-level classification demonstrated that Staphylococcus was the most common pathogen in the IVO group, whereas Mycobacterium was predominant in the NVO group. Through LASSO regression and random forest algorithms, we identified 5 serum biomarkers including percentage of basophils (BASO%), percentage of monocytes (Mono%), platelet volume (PCT), globulin (G), activated partial thromboplastin time (APTT) for distinguishing IVO from NVO. Based on these biomarkers, we established a nomogram model capable of accurately discriminating between the two conditions. CONCLUSION: The results of this study hold promise in providing valuable guidance to clinical practitioners for the differential diagnosis and early antimicrobial treatment of vertebral osteomyelitis.

Prognostic Significance of Pretreatment Plasma D-dimer Levels in EGFR-Positive Advanced Non-Small Cell Lung Cancer Patients Receiving Osimertinib: A Multicentre Retrospective Study.

Purpose: This study examined the association between plasma D-dimer levels and overall survival (OS) in advanced non-small cell lung cancer (NSCLC) patients treated with osimertinib. Methods: In this multicenter study, 88 patients with advanced non-small cell lung cancer (NSCLC) carrying epidermal growth factor receptor (EGFR) mutations and receiving osimertinib were enrolled. The target independent and dependent variables were the D-dimer levels before osimertinib treatment and OS time, respectively. The t-test or chi-square test was utilized to analyze the variances among various groups. The predictive significance of D-dimer for overall survival (OS) was assessed using Kaplan-Meier survival analysis and the Cox proportional hazard regression model. Results: The selected patients had an average age of 58.01±10.72 years, with females comprising 54.55%. Based on their D-dimer levels, the patients were categorized into three groups: low-level (< 0.6 mg/L), middle-level (0.6 ~ 2 mg/L), and high-level (≥ 2 mg/L). After accounting for possible confounding variables, the Cox proportional hazard model showed that increased D-dimer levels were linked to a greater likelihood of death (HR 2.28, 95% CI = 1.09 ~ 4.76, p = 0.029). Importantly, there was a significant trend indicating that as D-dimer levels rose, the risk of mortality also increased (p for trend, HR 1.15, 95% CI = 1.03 ~ 1.28, p = 0.012). Consistently comparable outcomes were noted in the majority of subcategories. Patients with low-middle and high D dimer levels had a median OS of 28.6 and 17 months, respectively (p =0.014). Conclusion: In conclusion, elevated levels of D-dimer in the bloodstream were found to have a significant negative correlation with the overall survival (OS) of patients with EGFR-positive non-small cell lung cancer (NSCLC) who underwent treatment with osimertinib.

Pretreatment plasma d-dimer levels as an independent prognostic factor for overall survival among patients with advanced non-small-cell lung cancer.

OBJECTIVE: To evaluate the prognostic accuracy of d-dimer levels for advanced non-small-cell lung cancer (NSCLC). METHODS: This retrospective cohort study included 651 patients initially diagnosed with advanced NSCLC. Patients with d-dimer levels ≥0.5 mg/L were included in the high d-dimer group, whereas patients with lower levels were included in the normal group. Cumulative survival was estimated using Kaplan-Meier curves and compared using the log-rank test. Multivariate analyses were performed using the Cox proportional hazards model. RESULTS: The median plasma d-dimer level in the study cohort was 0.61 ± 0.49 mg/L. d-dimer levels were elevated in 60.98% of patients, and 80.1% of such patients had adenocarcinoma. Univariate and multivariate analyses identified d-dimer content as an independent factor for the prognosis of NSCLC (hazard ratio [HR] = 1.54, 95% confidence interval [CI] = 1.19-1.98). Kaplan-Meier analysis revealed that high plasma d-dimer levels were associated with shorter overall survival (HR = 1.48, 95% CI = 1.19-1.84). In addition, the receipt of <2 lines of treatment was associated with a higher risk of death than the receipt of >2 lines. CONCLUSION: The present results imply that pretreatment plasma d-dimer levels could represent a prognostic factor for advanced NSCLC.