Early Post-Transplant Urinary EGF as a Potential Predictor of Long-Term Allograft Loss in Kidney Transplant Recipients

Improved biomarkers are needed to enhance prognostication in kidney transplantation. We evaluated urinary Epidermal Growth Factor (uEGF) as a predictor of long-term allograft loss. We conducted a prospective, single-center cohort study of 290 adult kidney transplant recipients with uEGF measured 3 months post-transplant. The primary outcome was allograft loss, defined as return to dialysis or pre-emptive re-transplantation. Multivariable cause-specific Cox models assessed the independent association between uEGF and allograft loss. Model performance was compared to the iBox prediction model using 7-year time-dependent AUC and Akaike Information Criterion (AIC), with internal validation <i>via</i> bootstrap resampling. Temporal validation was performed in an independent cohort of 203 patients. uEGF correlated with markers of chronic injury, including eGFR, donor age, and interstitial fibrosis. After a median 8.8-year follow-up, lower uEGF was independently associated with allograft loss (adjusted HR 0.19; 95% CI, 0.11-0.32). Adding uEGF to the iBox improved discrimination (AUC 0.72 vs. 0.63) and reduced AIC (383 vs. 394). While results were robust to internal validation, temporal validation did not show an independent association of uEGF with allograft loss. These findings suggest uEGF may provide independent prognostic value, but further studies in larger and more diverse cohorts are needed to confirm its clinical utility.

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Publication Details

Journal
Transplant International
Published
2025-10-20
DOI
https://doi.org/10.3389/ti.2025.15061
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
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article

Early Post-Transplant Urinary EGF as a Potential Predictor of Long-Term Allograft Loss in Kidney Transplant Recipients

Antoine Créon, L. Aouni, Fabiola Terzi, Dany Anglicheau et al.
Transplant International
Renal Transplantation Outcomes and Treatments
article

Early Post-Transplant Urinary EGF as a Potential Predictor of Long-Term Allograft Loss in Kidney Transplant Recipients

Antoine Créon, L. Aouni, Fabiola Terzi, Dany Anglicheau, Virginia de la Orden, Lise Morin, Marion Rabant
article en

Abstract

Improved biomarkers are needed to enhance prognostication in kidney transplantation. We evaluated urinary Epidermal Growth Factor (uEGF) as a predictor of long-term allograft loss. We conducted a prospective, single-center cohort study of 290 adult kidney transplant recipients with uEGF measured 3 months post-transplant. The primary outcome was allograft loss, defined as return to dialysis or pre-emptive re-transplantation. Multivariable cause-specific Cox models assessed the independent association between uEGF and allograft loss. Model performance was compared to the iBox prediction model using 7-year time-dependent AUC and Akaike Information Criterion (AIC), with internal validation <i>via</i> bootstrap resampling. Temporal validation was performed in an independent cohort of 203 patients. uEGF correlated with markers of chronic injury, including eGFR, donor age, and interstitial fibrosis. After a median 8.8-year follow-up, lower uEGF was independently associated with allograft loss (adjusted HR 0.19; 95% CI, 0.11-0.32). Adding uEGF to the iBox improved discrimination (AUC 0.72 vs. 0.63) and reduced AIC (383 vs. 394). While results were robust to internal validation, temporal validation did not show an independent association of uEGF with allograft loss. These findings suggest uEGF may provide independent prognostic value, but further studies in larger and more diverse cohorts are needed to confirm its clinical utility.

Transplant InternationalVol. 38
Hôpital Necker-Enfants Malades (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Université Paris Cité (FR), Karolinska Institutet (SE), Institut Necker Enfants Malades (FR), Saudi Center for Organ Transplantation (SA), Assistance Publique – Hôpitaux de Paris (FR), Kidney Associates (US)
Openalex Percentile: Top 54%
Renal Transplantation Outcomes and Treatments
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