Evidence map›Paper›PMID 40981327›Full record

ArticleInfectious disease reports2025

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

Sara Querido, Luís Ramalhete, Perpétua Gomes, André Weigert

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Article in Infectious disease reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sara QueridoRenal Transplantation Unit, Nephrology Department, Hospital de Santa Cruz, Unidade Local de Saúde de Lisboa Ocidental, 2790-134 Carnaxide, Portugal.ORCID 0000-0003-2325-1817
Luís RamalheteIPST-Instituto Português do Sangue e da Transplantação, Alameda das Linhas de Torres 117, 1769-001 Lisboa, Portugal.ORCID 0000-0002-8911-3380
Perpétua GomesLaboratory of Clinical Microbiology and Molecular Biology, Department of Clinical Pathology, Unidade Local de Saúde de Lisboa Ocidental, 1349-019 Lisboa, Portugal.ORCID 0000-0003-3271-8255
André WeigertRenal Transplantation Unit, Nephrology Department, Hospital de Santa Cruz, Unidade Local de Saúde de Lisboa Ocidental, 2790-134 Carnaxide, Portugal.ORCID 0000-0001-9674-8862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTorque 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.

methodsA 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.

resultsSeventy-two patients (87.8%) had detectable TTV before KT. Of these, 30.5% developed infections, predominantly viral. TTV loads increased significantly from 3.35 ± 1.67 log

conclusionsTTV viremia may serve as a biomarker for infection risk, particularly when used with other clinical variables. The identified TTV threshold of 5.16 log

Indexed as

immunosuppressioninfectionkidney transplantationmachine learningTTV

Identifiers

PMID40981327
PMCPMC12452520

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