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Transplant infectious disease : an official journal of the Transplantation Society · 2026

Predicting VRE Infection After Liver Transplantation With a Time-Updated Colonization Score.

СтатьяНазвание и аннотация: Перевод в очереди
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Nunes Nathalia N, Villani Junior Adhemar, Ferreira Lohayne A, Spadao Fernanda, Song Alice T W, Terrabuio Debora Raquel B, D'Albuquerque Luiz Augusto C, Nunes Fatima L S, Levin Anna Sara S, Abdala Edson, Freire Maristela P

Аннотация

BACKGROUND: Vancomycin-resistant Enterococcus (VRE) infection is a life-threatening complication after liver transplantation (LT). This study aimed to identify risk factors and develop a predictive score for post-transplant VRE infection in LT recipients.

METHODS: We conducted a single-center, retrospective cohort study including all adult patients who underwent LT between 2010 and 2022. Patients were followed from 90 days before to 180 days after LT. The primary endpoint was time to the first VRE infection after LT, with death before infection treated as a competing event. We applied a stacked landmarking approach at weekly intervals during the first post-transplant month, incorporating post-LT VRE colonization as a time-dependent covariate in Fine-Gray models. Random forests were used as machine-learning comparators. Model discrimination was assessed by the AUC-ROC, and sensitivity, specificity, and accuracy were calculated at thresholds determined by Youden's index.

RESULTS: Among 1209 LT recipients, 76 (6.3%) developed VRE infection, most commonly intra-abdominal (58.4%). Time-updated post-LT VRE colonization was the strongest predictor (HR 7.59). Additional risk factors included intraoperative bleeding (HR 4.06), early re-transplantation (HR 3.85), pre-LT VRE colonization (HR 3.20), renal replacement therapy (HR 2.01), and intensive care unit length of stay (HR 1.01/day). Viral hepatitis (HR 0.55), autoimmune hepatitis (HR 0.34), higher Charlson Comorbidity Index (HR 0.84), and deceased donors (HR 0.24) were associated with a lower risk of VRE infection. The final model showed good discrimination (AUROC = 0.76-0.85) with balanced sensitivity (75%-93%) and specificity (75%-86%).

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты