下一代测序检测巨细胞病毒dna血症对肺移植术后短期预后的影响

Zhongping Xu , Yujiao Zhang , Dapeng Wang, Chenhao Xuan, Zhiyu Li, Hongyang Xu
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引用次数: 0

摘要

巨细胞病毒(CMV)是肺移植术后常见的机会性病原体,与移植后并发症和不良结局相关。本研究旨在评估通过新一代宏基因组测序(mNGS)鉴定的CMV dna血症在肺移植术后早期的发生率,并评估其对接受者短期预后的影响。方法回顾性分析2020年5月至2023年11月南京医科大学附属无锡市人民医院115例肺移植患者的临床资料。根据mngs检测的CMV dna血症情况,将患者分为dna血症组和正常组。非参数检验(Mann-Whitney U/Wilcoxon sign -rank)和混合效应模型用于组间比较。Kaplan-Meier生存分析,对总生存差异进行log-rank检验。单变量logistic回归确定ICU死亡率和90天死亡率的危险因素。多因素logistic回归校正混杂因素。采用倾向评分匹配(1∶1最优近邻,caliper = 0.25)解决协变量失衡问题,对匹配队列进行单因素logistic回归分析。结果在肺移植术后早期,mNGS检测到CMV dna血症,发生率为15.7%。与正常组相比,CMV dna血症组的90天总生存率显著降低,Log-rank检验显示两组之间的生存差异具有统计学意义(p <;0.001)。单因素和多因素logistic回归分析发现,CMV dna血症是ICU全因死亡率的独立危险因素(OR = 5.00, 95% CI: 1.37-18.27, p = 0.015),而其他病原体感染独立预测90天全因死亡率(OR = 3.40, 95% CI: 1.10-10.44, p = 0.033)。在倾向评分匹配后,CMV dna血症组和正常组的基线特征很好地平衡。在匹配的队列中,单因素logistic回归进一步证实CMV dna血症是ICU死亡率的独立危险因素(OR = 7.43, 95% CI: 1.23-45.00, p = 0.029)。中介分析表明,共病原体感染介导了巨细胞病毒dna血症与90天全因死亡率之间的关系,中介比例为20.6% (95% CI: 1.7%-138.5%, p <;0.001)。结论ngs显示肺移植术后早期CMV dna血症的发生率高于既往报道。巨细胞病毒dna血症与不良预后显著相关。尽管样本量和回顾性设计存在局限性,但本研究为移植后巨细胞病毒的监测和管理提供了新的见解。未来的研究应确定以mNGS为指导的先发制人抗病毒策略的最佳时机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of cytomegalovirus DNAemia detected by next-generation sequencing on short-term prognosis after lung transplantation

Background

Cytomegalovirus (CMV) is a common opportunistic pathogen following lung transplantation, associated with post-transplant complications and adverse outcomes. This study aims to evaluate the incidence of CMV DNAemia identified through metagenomic next-generation sequencing (mNGS) during the early postoperative phase of lung transplantation and assess its effects on the short-term outcomes for recipients.

Methods

We conducted a retrospective analysis of clinical data from 115 patients who received lung transplants at the Affiliated Wuxi People's Hospital of Nanjing Medical University between May 2020 and November 2023. Based on mNGS-detected CMV DNAemia status, patients were stratified into DNAemia group and normal group. Nonparametric tests (Mann-Whitney U/Wilcoxon signed-rank) and mixed-effects models for intergroup comparisons. Kaplan-Meier survival analysis with log-rank testing for overall survival differences. Univariate logistic regression to identify risk factors for ICU mortality and 90-day mortality. Multivariate logistic regression adjusting for confounders. Propensity score matching (1∶1 optimal nearest neighbor, caliper = 0.25) was implemented to address covariate imbalance, followed by univariate logistic regression analyses in the matched cohort.

Results

In the early postoperative period following lung transplantation, CMV DNAemia was detected via mNGS with an incidence rate of 15.7%. The CMV DNAemia group demonstrated a significantly lower 90-day overall survival rate compared to the normal group, with the Log-rank test revealing statistically significant survival differences between groups (p < 0.001). Univariate and multivariate logistic regression analyses identified CMV DNAemia as an independent risk factor for ICU all-cause mortality (OR = 5.00, 95% CI: 1.37–18.27, p = 0.015), while with other pathogens infections independently predicted 90-day all-cause mortality (OR = 3.40, 95% CI: 1.10–10.44, p = 0.033). After propensity score matching, baseline characteristics were well-balanced between the CMV DNAemia and normal groups. In the matched cohort, univariate logistic regression further confirmed CMV DNAemia as an independent risk factor for ICU mortality (OR = 7.43, 95% CI: 1.23–45.00, p = 0.029). Mediation analysis demonstrated that co-pathogen infections mediated the relationship between CMV DNAemia and 90-day all-cause mortality, with a proportion mediated of 20.6% (95% CI: 1.7%–138.5%, p < 0.001).

Conclusions

mNGS revealed a higher incidence of early CMV DNAemia post-lung transplantation than previously reported. CMV DNAemia significantly correlates with poor prognosis. Despite limitations in sample size and retrospective design, this study provides novel insights into CMV monitoring and management post-transplantation. Future research should determine optimal timing for preemptive antiviral strategies guided by mNGS.
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