Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Cleveland Clinic, Cleveland, Ohio, USA.
Am J Transplant. 2024 Mar;24(3):436-447. doi: 10.1016/j.ajt.2023.09.021. Epub 2023 Dec 7.
The objective of this study was to validate the performance of Tutivia, a peripheral blood gene expression signature, in predicting early acute rejection (AR) post-kidney transplant. Recipients of living or deceased donor kidney transplants were enrolled in a nonrandomized, prospective, global, and observational study (NCT04727788). The main outcome was validation of the area under the curve (AUC) of Tutivia vs serum creatinine at biopsy alone, or Tutivia + serum creatinine at biopsy. Of the 151 kidney transplant recipients, the mean cohort age was 53 years old, and 64% were male. There were 71% (107/151) surveillance/protocol biopsies and 29% (44/151) for-cause biopsies, with a 31% (47/151) overall rejection rate. Tutivia (AUC 0.69 [95% CI: 0.59-0.77]) and AUC of Tutivia + creatinine at biopsy (0.68 [95% CI: 0.59-0.77]) were greater than the AUC of creatinine at biopsy alone (0.51.4 [95% CI: 0.43-0.60]). Applying a model cut-off of 50 (scale 0-100) generated a high- and low-risk category for AR with a negative predictive value of 0.79 (95% CI: 0.71-0.86), a positive predictive value of 0.60 (95% CI: 0.45-0.74), and an odds ratio of 5.74 (95% CI: 2.63-12.54). Tutivia represents a validated noninvasive approach for clinicians to accurately predict early AR, beyond the current standard of care.
本研究的目的是验证 Tutivia(外周血基因表达谱)在预测肾移植后早期急性排斥反应(AR)方面的性能。本研究纳入了接受活体或已故供体肾移植的患者,这是一项非随机、前瞻性、全球性和观察性研究(NCT04727788)。主要结局是验证 Tutivia 与活检时的血清肌酐相比的曲线下面积(AUC),或 Tutivia+活检时的血清肌酐相比的 AUC。在 151 名肾移植受者中,平均队列年龄为 53 岁,64%为男性。71%(107/151)为监测/方案活检,29%(44/151)为因病因活检,总排斥率为 31%(47/151)。Tutivia(AUC 0.69 [95%CI: 0.59-0.77])和 Tutivia+活检时的肌酐 AUC(0.68 [95%CI: 0.59-0.77])均大于单独活检时的肌酐 AUC(0.51.4 [95%CI: 0.43-0.60])。应用 50(0-100 分)的模型截断值,可将 AR 的高风险和低风险类别分为两类,其阴性预测值为 0.79(95%CI: 0.71-0.86),阳性预测值为 0.60(95%CI: 0.45-0.74),优势比为 5.74(95%CI: 2.63-12.54)。Tutivia 代表了一种经过验证的非侵入性方法,可帮助临床医生准确预测早期 AR,超越当前的护理标准。