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扭矩天诺病毒作为移植患者感染风险的生物标志物:一项机器学习支持的队列研究
Sara Querido1,2, Luís Ramalhete3,4,5, Perpétua Gomes6,7
1Renal Transplantation Unit, Nephrology Department, Hospital de Santa Cruz, Unidade Local de Saúde de Lisboa Ocidental, 2790-134 Carnaxide, Portugal.
Infectious disease reports
|September 22, 2025
概括
扭矩天诺病毒 (TTV) 病毒病症可以预测移植患者的感染风险. 5.16 log10 cp/mL的TTV负载值,特别是机器学习,有助于对移植后感染风险的临床决策.
科学领域:
- 免疫学 免疫学 免疫学
- 病毒学 病毒学
- 移植医学 移植医学
背景情况:
- 接受移植 (KT) 的人面临严重的感染风险.
- 扭矩天诺病毒 (TTV) 病毒病是这些患者感染风险的潜在标志物.
研究的目的:
- 评估TTV水平的预后价值,用于预测移植后的感染.
- 为了确定感染风险评估的TTV负载值.
主要方法:
- 分析了82名脏移植患者的TTV负载,在KT前和移植后.
- 在移植后六个月内追踪感染.
- 使用单变量分析和逻辑回归机器学习模型进行预测.
主要成果:
- 在87.8%的患者中观察到可检测的TTV前KT.
- 与未感染患者 (4.16 ± 1.94 log10 cp/mL) 相比,感染患者的TTV负荷显著更高 (5.39 ± 1.68 log10 cp/mL).
- 最佳的TTV值为5.16 log10 cp/mL,在预测感染方面显示出60%的灵敏度和81%的特异性,机器学习模型提高了性能.
结论:
- 作为预测移植接受者感染风险的生物标志物,TTV病毒症显示出前景.
- 5.16 log10 cp/mL的TTV值,特别是当与机器学习相结合时,为临床决策提供了一个实用的工具.
- 建议在更大的队列中进一步验证,以完善临床应用.
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