粪便巨细胞病毒阳性患者的临床特点及预后因素分析。

IF 2.4
Yi-Tien Hsuan, Ching-Hao Hsu, Cheng-Yu Chen, Yu-Jiun Chan, Hsin-Pai Chen
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引用次数: 0

摘要

背景:粪便样本中巨细胞病毒(CMV) DNA检测与患者预后之间的临床关系仍未得到充分探讨。本研究旨在评估粪便巨细胞病毒聚合酶链反应(PCR)阳性患者的预后因素和病毒动力学。方法:本回顾性队列研究纳入2016-2021年台北荣民总医院粪便CMV-PCR阳性的成年患者。分析临床资料、血浆和粪便病毒载量(VLs)。受试者工作特征(ROC)曲线和曲线下面积(AUC)评估了30天死亡率预测,最佳截止点最大限度地提高了灵敏度和特异性。Kaplan-Meier生存分析和Cox比例风险模型确定了30天死亡率的预测因子。结果:共纳入114例患者,平均年龄64.0岁,男性占64%。粪便CMV VL中位数为629拷贝/mL[四分位数范围(IQR): 263 -7,949]。76%的患者检测到血浆CMV DNA,中位VL为341拷贝/mL (IQR: 10 - 1771)。粪便VLs与血浆VLs呈中等相关性(ρ= 0.38, p < 0.0001)。ROC分析确定了预测30天死亡率的截止点:粪便9,654拷贝/mL (AUC = 0.54,敏感性42%,特异性81%)和血浆1,738拷贝/mL (AUC = 0.60,敏感性47%,特异性70%)。在多因素Cox分析中,粪便CMV VL >9,654拷贝/mL(校正危险比[HR] 2.69, 95%可信区间[CI]: 1.06-6.84, p = 0.04)和血浆CMV VL >1,738拷贝/mL(校正危险比[HR] 2.66, 95% CI: 1.14-6.17, p = 0.02)是30天死亡率的独立预测因子。感染性休克和类固醇使用也与死亡率增加相关,而抗病毒治疗≥7天具有独立保护作用(调整后危险度0.26,95% CI: 0.10-0.64, p = 0.003)。结论:粪便和血浆巨细胞病毒载量、抗病毒治疗时间和免疫状态等宿主因素可能影响肠道巨细胞病毒再激活患者的预后。需要更大规模的研究来验证风险分层的最佳病毒载量阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical characteristics and prognostic factors in patients with stool cytomegalovirus positivity.

Background: The clinical association between cytomegalovirus (CMV) DNA detection in stool samples and patient outcomes remains underexplored. This study aimed to assess prognostic factors and viral kinetics in patients with positive stool CMV polymerase chain reaction (PCR).

Methods: This retrospective cohort study included adult patients with positive stool CMV-PCR results at Taipei Veterans General Hospital (2016-2021). Clinical data, plasma and stool viral loads (VLs) were analyzed. Receiver operating characteristic (ROC) curves and area under the curve (AUC) evaluated 30-day mortality prediction, with optimal cutoffs maximizing sensitivity and specificity. Kaplan-Meier survival analyses and Cox proportional hazards models identified predictors of 30-day mortality.

Results: A total of 114 patients (mean age: 64.0 years, 64% male) were included. The median stool CMV VL was 629 copies/mL [interquartile range (IQR): 263 -7,949]. Plasma CMV DNA was detected in 76% with a median VL of 341 copies/mL (IQR: 10 -1,771). Stool and plasma VLs showed moderate correlation (ρ= 0.38, p < 0.0001). ROC analysis identified cutoffs for predicting 30-day mortality: stool 9,654 copies/mL (AUC = 0.54; sensitivity 42%; specificity 81%) and plasma 1,738 copies/mL (AUC = 0.60; sensitivity 47%; specificity 70%). In multivariate Cox analysis, stool CMV VL >9,654 copies/mL (adjusted hazard ratio [HR] 2.69, 95% confidence interval [CI]: 1.06-6.84, p = 0.04) and plasma CMV VL >1,738 copies/mL (adjusted HR 2.66, 95% CI: 1.14-6.17, p = 0.02) were independent predictors of 30-day mortality. Septic shock and steroid use were also associated with increased mortality, whereas antiviral therapy ≥7 days was independently protective (adjusted HR 0.26, 95% CI: 0.10-0.64, p = 0.003).

Conclusion: Stool and plasma CMV viral loads, antiviral treatment duration, and host factors such as immune status may influence outcomes in patients with intestinal CMV reactivation. Larger studies are needed to validate optimal viral load thresholds for risk stratification.

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