Torque Teno Virus as a Biomarker for Infection Risk in Kidney Transplant Recipients: A Machine Learning-Enabled Cohort Study.

ABSTRACT:

Background

Torque Teno Virus (TTV) viremia has been proposed as a marker for infection risk in kidney transplant (KT) recipients. This study aimed to evaluate the prognostic value of TTV levels for predicting infections post-KT.

Methods

A cohort of 82 KT patients was analyzed. TTV loads were measured before KT and at the time of cutoff analysis (mean time since KT: 20.2 ± 10.3 months). Infections were tracked within six months following the time of cutoff analysis. Univariable analyses and a supervised machine learning approach (logistic regression with leave-one-out cross-validation) were conducted to rigorously assess TTV's predictive ability for post-transplant infection.

Results

Seventy-two patients (87.8%) had detectable TTV before KT. Of these, 30.5% developed i

SUBMITTER: Querido S 

PROVIDER: S-EPMC12452520 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature