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A useful scoring system for the prediction and management of delayed graft function following kidney transplantation from cadaveric donors

Auteurs

• Chapal M
  
  
• Le Borgne Florent - Ingénieur de recherche  - IDBC/EA4275 
  
  
• Legendre C.
  
  
• Kreiss H
  
  
• Mourad G
  
  
• Garrigue V
  
  
• Morelon E
  
  
• Buron F
  
  
• Rostaing L
  
  
• Kamar N
  
  
• Kessler M
  
  
• Ladrière M
  
  
• Soulillou Jean-Paul
  
  
• Launay K.
  
  
• Daguin Pascal
  
  
• Offredo L
  
  
• Giral Magali - PU-PH  - CHU de Nantes  
  
  
• Foucher Yohann - Maître de Conférences en Biostatistique - HDR  - UFR de médecine - Université de Nantes 
  
  

Description

Nature : Articles dans une revue internationale
Thématique : Biostatistique et Mesures Subjectives en Santé
Rang : Rang A : publication porté par un membre de l'unité, dans le cadre de l'unité
Axe de recherche principal: Modèles pronostiques
Axe de recherche secondaire: Recherche Clinique
Sujet : Données Informatiques VAlidées en Transplantation

Chapal M, Le Borgne F, Legendre C, Kreiss H, Mourad G, Garrigue V, Morelon E, Buron F, Rostaing L, Kamar N, Kessler M, Ladrière M, Soulillou JP, Launay K, Daguin P, Offredo L, Giral M, Foucher Y (2014) A useful scoring system for the prediction and management of delayed graft function following kidney transplantation from cadaveric donors. Kidney International, 86(6): 1130-9.

Lien

Résumé

Delayed graft function (DGF) is a common complication in kidney transplantation and is known to be correlated with short- and long-term graft outcomes. Here we explored the possibility of developing a simple tool that could predict with good confidence the occurrence of DGF and could be helpful in current clinical practice. We built a score, tentatively called DGFS, from a French multicenter and prospective cohort of 1844 adult recipients of deceased donor kidneys collected since 2007, and computerized in the Données Informatisées et VAlidées en Transplantation databank. Only five explicative variables (cold ischemia time, donor age, donor serum creatinine, recipient body mass index, and induction therapy) contributed significantly to the DGF prediction. These were associated with a good predictive capacity (area under the ROC curve at 0.73). The DGFS calculation is facilitated by an application available on smartphones, tablets, or computers at www.divat.fr/en/online-calculators/dgfs. The DGFS should allow the simple classification of patients according to their DGF risk at the time of transplantation, and thus allow tailored-specific management or therapeutic strategies.

Abstract

Delayed graft function (DGF) is a common complication in kidney transplantation and is known to be correlated with short- and long-term graft outcomes. Here we explored the possibility of developing a simple tool that could predict with good confidence the occurrence of DGF and could be helpful in current clinical practice. We built a score, tentatively called DGFS, from a French multicenter and prospective cohort of 1844 adult recipients of deceased donor kidneys collected since 2007, and computerized in the Données Informatisées et VAlidées en Transplantation databank. Only five explicative variables (cold ischemia time, donor age, donor serum creatinine, recipient body mass index, and induction therapy) contributed significantly to the DGF prediction. These were associated with a good predictive capacity (area under the ROC curve at 0.73). The DGFS calculation is facilitated by an application available on smartphones, tablets, or computers at www.divat.fr/en/online-calculators/dgfs. The DGFS should allow the simple classification of patients according to their DGF risk at the time of transplantation, and thus allow tailored-specific management or therapeutic strategies.

Projet(s) ayant donné lieu à cette publication

DIVAT-SPHERE - Axe 4 : Ischémie froide et retard au démarage

Thèse(s) ou stage(s) lié(s) à cette publication

Florent Le Borgne : Conception d’un outil simple permettant des analyses statistiques ajustées pour la valorisation des données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT. (soutenue le 30 septembre 2016)

Publications sur le même sujet (Données Informatiques VAlidées en Transplantation)

• Fournier MC, Foucher Y, Blanche P, Legendre C, Girerd S, Ladrière M, Morelon E, Buron F, Rostaing L, Kamar N, Mourad G, Garrigue V, Couvrat-Desvergnes G, Giral M, Dantan E (2019) Dynamic predictions of long-term kidney graft failure: an information tool promoting patient-centred care.. Nephrology Dialysis Transplantation: .
  
  
• Fournier MC, Dantan E, Blanche P (2018) An R2-curve for evaluating the accuracy of dynamic predictions. Stat Med, 37(7): 1125-1133.
  
  
• Le Borgne F, Giraudeau B, Querard AH, Giral M, Foucher Y (2016) Comparisons of the performance of different statistical tests for time-to-event analysis with confounding factors: practical illustrations in kidney transplantation. Stat Med, 35(7): 1103-16.
  
  
• Fournier MC, Foucher Y, Blanche P, Buron F, Giral M, Dantan E (2016) A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes. European Journal of Epidemiology, 31(5): 469-79.
  
  
• Le Fur A, Fournier MC, Gillaizeau F, Masson D, Giral M, Cariou B, Cantarovich D, Dantal J (2015) Vitamin D deficiency is an independent risk factor for PTDM after kidney transplantation.. Transplant international: .
  
  
• Gillaizeau F, Dantan E, Giral M, Foucher Y (2015) A multistate additive relative survival semi-Markov model. Statistical Methods in Medical Research, 26(4): 1700-1711.
  
  
• Foucher Y, Meurette A, Daguin P, Bonnaud-Antignac A, Hardouin JB, Néau K, Papuchon E, Guaboriau S, Legendre C, Morelon E, Tessier P, Giral M (2015) A Personalized Follow-up of Kidney Transplant Recipients by Using Video Conferencing based on a 1-year scoring system predictive of long term graft failure (TELEGRAFT study): Protocol for a Randomized Controlled Trial. BMC Nephrology, 16(1): 6.
  
  
• Debout A, Foucher Y, Trébern-Launay K, Legendre C, Kreiss H, Mourad G, Garrigue V, Morelon E, Buron F, Rostaing L, Kamar N, Kessler M, Ladrière M, Poignas A, Blidi A, Soulillou JP, Giral M, Dantan E (2014) Each additional hour of Cold Ischemia Time significantly increases the risk of graft failure and mortality after renal transplantation. Kidney International, 87: 343-9.
  
  
• Rabot N, Buchler M, Foucher Y, Moreau A, Debiais C, Machet M, Kessler M, Morelon E, Thierry A, Legendre C, Rivalan J, Kamar N, Dantal J (2014) CNI withdrawal for post-transplant lymphoproliferative disorders in kidney transplant is an independent risk factor for graft failure and mortality. Transplant Internationnal, 27(9): 956-65.
  
  
• Yap M, Boeffard F, Clave E, Pallier A, Danger R, Giral M, Dantal J, Foucher Y, Guillot-Gueguen C, Toubert A, Soulillou JP, Degauque N (2014) Expansion of Highly Differentiated Cytotoxic Terminally Differentiated Effector Memory CD8+ T Cells in a Subset of Clinically Stable Kidney Transplant Recipients: A Potential Marker for Late Graft Dysfunction. J Am Soc Nephrol, 25(8): 1856-68.
  
  
• Combescure C, Foucher Y, Jackson D (2014) Meta-analysis of single-arm survival studies: a distribution-free approach for estimating summary survival curves with random effects. Statistics in Medicine, 33(15): 2521-37.
  
  
• Lorent M, Giral M, Foucher Y (2014) Net time-dependent ROC curves: a solution for evaluating the accuracy of a marker to predict disease-related mortality. Statistics in Medicine, 33(14): 2379-89.
  
  
• Gillaizeau F, Giral M, Dantan E, Dragun D, Soulillou JP, Foucher Y (2014) Multi-state analysis of kidney transplant recipients outcome: a semi-Markov model for studying the role of pre-transplant sensitization against Angiotensin II Type 1 receptor. Journal de la Société Française de Statistique , 155(1): 117-133.
  
  
• Foucher Y, Akl A, Rousseau V, Trébern-Launay K, Lorent M, Kessler M, Ladrière M, Legendre C, Kreiss H, Rostaing L, Kamar N, Mourad G, Garrigue V, Morelon E, Daurès JP, Soulillou JP, Giral M (2014) An alternative approach to estimate age-related mortality of kidney transplant recipients compared to the general population: results in favor of old-to-old transplantations. Transplant International, 27(2): 219-25.
  
  
• Chapal M, Néel M, Le Borgne F, Meffray E, Carceles O, Hourmant M, Giral M, Foucher Y, Moreau A, Fakhouri F (2013) Increased soluble flt-1 correlates with delayed graft function and early loss of peritubular capillaries in the kidney graft. Transplantation, 96(8): 739-44.
  
  
• Giral M, Foucher Y, Dufay A, Duong Van Huyen J, Renaudin K, Moreau A, Philippe A, Hegner B, Dechend R, Brouard S, Cesbron A, Castagnet S, Devys A, Soulillou JP, Dragun D (2013) Pretransplant Sensitization Against Angiotensin II Type 1 Receptor Is a Risk Factor for Acute Rejection and Graft Loss. American Journal of Transplantation, 13(10): 2567-76.
  
  
• Trébern-Launay K, Giral M, Dantal J, Foucher Y (2013) Comparison of the risk factors effects between two populations: two alternative approaches illustrated by the analysis of first and second kidney transplant recipients. BMC Medical Research Methodology, 13: 102.
  
  
• Foucher Y (2013) Modélisation et pronostic de l'évolution de pathologies chroniques : Applications en transplantation renale. , 193.
  
  
• Cantarovich D, Hodemon-Corne B, Trébern-Launay K, Giral M, Foucher Y, Dantan E (2013) Early steroid withdrawal compared with steroid avoidance correlates with graft failure among kidney transplant recipients with an history of diabetes. Transplantation Procedings, 45(4): 1497-502.
  
  
• Danger R, Paul C, Giral M, Foucher Y, Degauque N, Pallier A, Durand M, Castagnet S, Duong Van Huyen J, Delahousse M, Renaudin K, Soulillou JP, Brouard S (2013) Expression of miR-142-5p in peripheral blood mononuclear cells from renal transplant patients with chronic antibody-mediated rejection. PLoS One, 8(4): e60702.
  
  
• Brouard S, Pallier A, Renaudin K, Foucher Y, Danger R, Devys A, Cesbron A, Guillot-Gueguen C, Ashton-Chess J, Le Roux S, Harb J, Roussey G, Subra JF, Villemain F, Legendre C, Bemelman FJ, Orlando G, Garnier A, Jambon H, Le Monies De Sagazan H, Braun L, Noel C, Pillebout E, Moal MC, Cantarell C, Hoitsma A, Ranbant M, Testa A, Soulillou JP, Giral M (2012) The Natural History of Clinical Operational Tolerance After Kidney Transplantation Through Twenty-Seven Cases. Am J Transplant, 12(12): 3296-307.
  
  
• Trébern-Launay K, Foucher Y, Giral M, Legendre C, Kreiss H, Kessler M, Ladrière M, Kamar N, Rostaing L, Garrigue V, Mourad G, Morelon E, Soulillou JP, Dantal J (2012) Poor long-term outcome in second kidney transplantation : a delayed event. PLoS One, 7(10): e47915.
  
  
• Thibaud A, Foucher Y, Danger R, Migone T, Pallier A, Castelli C, Castagnet S, Devys A, Cesbron A, Giral M, Soulillou JP, Brouard S (2012) BAFF and BAFF-R levels are associated with risk of long-term kidney graft dysfunction and development of donor-specific antibodies. Am J Transplant, 12(10): 2754-62.
  
  
• Foucher Y, Combescure C, Ashton-Chess J, Giral M (2012) Prognostic Markers: Data Misinterpretation Often Leads to Overoptimistic Conclusions. Am J Transplant, 12(4): 1060-1.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2012) Cut-off estimation and medical decision making based on a continuous prognostic factor : the prediction of kidney graft failure. Int J Biostat, 8(1): 1–13.
  
  
• Degauque N, Boeffard F, Foucher Y, Ballet C, Brouard S, Soulillou JP (2011) The Blood of Healthy Individuals Exhibits CD8 T Cells with a Highly Altered TCR Vb Repertoire but with an Unmodified Phenotype. PLoS One, 6(6): e21240.
  
  
• Brouard S, Le Bars A, Dufay A, Gosselin M, Foucher Y, Guillet M, Cesbron A, Thervet E, Legendre C, Dugast E, Pallier A, Guillot-Gueguen C, Lagoutte L, Evanno G, Giral M, Soulillou JP (2011) Identification of a gene expression profile associated with operational tolerance among a selected group of stable kidney transplant patients. Transplantation International, 24(6): 536-547.
  
  
• Racapé M, Duong Van Huyen J, Danger R, Giral M, Bleicher F, Foucher Y, Pallier A, Pilet P, Tafelmeyer P, Ashton-Chess J, Dugast E, Pettre S, Charreau B, Soulillou JP, Brouard S (2011) The involvement of SMILE/TMTC3 in endoplasmic reticulum stress response. PLoS One, 6(5): e19321.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2010) Time-dependent ROC analysis for a three-class prognostic with application to kidney transplantation. Statistics in Medicine, 29(30): 3079-87.
  
  
• Foucher Y, Daguin P, Akl A, Kessler M, Ladrière M, Legendre C, Kreiss H, Kamar N, Rostaing L, Garrigue V, Bayle F, de Ligny B, Buchler M, Meier C, Soulillou JP, Giral M (2010) A clinical scoring system highly predictive of long-term kidney graft survival.. Kidney International, 78(12): 1288-94.
  
  
• Giral M, Foucher Y, Karam G, Labrune Y, Kessler M, de Ligny B, Buchler M, Bayle F, Meyer C, Trehet N, Daguin P, Renaudin K, Moreau A, Soulillou JP (2010) Kidney and recipient weight incompatibility reduces long-term graft survival. Journal of the American Society of Nephrology, 21(6): 1022-9.
  
  
• Asthon-chess J, Mai H, Jovanovic V, Renaudin K, Foucher Y, Giral M, Moreau A, Dugast E, Mengel M, Racapé M, Danger R, Usual C, Smith H, Guillet M, Gwinner W, Le Berre L, Dantal J, Soulillou JP, Brouard S (2010) Immunoproteasome beta subunit 10 is increased in chronic antibody-mediated rejection.. Kidney International, 77(10): 880-90.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2010) A flexible semi-Markov model for interval-censored data and goodness-of-fit testing. Statistical Methods in Medical Research, 19(2): 127-45.
  
  
• Ladrière M, Foucher Y, Legendre C, Kamar N, Garrigue V, Morelon E, Kressler M, Soulillou JP, Giral M (2010) The Western Europe Cohort Of Kidney Transplanted Recipients - The DIVAT Network. In Clinical Transplants (J. Michael Cecka and Paul I. Terasaki): Terasaki Foundation Laboratory.
  
  
• Bruneau S, Le Berre L, Hervé C, Kamal M, Naulet J, Tesson L, Foucher Y, Soulillou JP, Sahali D, Dantal J (2009) Potential role of soluble ST2 protein in idiopathic nephrotic syndrome recurrence following kidney transplantation. American Journal of Kidney Diseases, 54(3): 522-32.
  
  
• Asthon-chess J, Dugast E, Colvin R, Giral M, Foucher Y, Moreau A, Renaudin K, Braud C, Devys A, Brouard S, Soulillou JP (2009) Regulatory, effector, and cytotoxic T cell profiles in long-term kidney transplant patients. Journal of the American Society of Nephrology, 20(5): 1113-22.
  
  
• Asthon-chess J, Giral M, Mengel M, Renaudin K, Foucher Y, Gwinner W, Braud C, Dugast E, Quillard T, Thebault P, Chiffoleau E, Braudeau C, Charreau B, Soulillou JP, Brouard S (2008) Tribbles-1 as a Novel Biomarker of Chronic Antibody-Mediated Rejection. Journal of the American Society of Nephrology, 19(6): 1116-27.
  
  
• Foucher Y, Daguin P, Kessler M, Ladrière M, Legendre C, Kreiss H, Durand D, Mourad G, Garrigue V, Soulillou JP, Giral M (2008) How well do pre- and peritransplant variables predict the long-term results of kidney transplantation?. In Clinical Transplants - Chapter 10 (J. Michael Cecka and Paul I. Terasaki): Terasaki Foundation Laboratory.
  
  
• Foucher Y, Daguin P, Kessler M, Laveyssiere L, Legendre C, Kreiss H, Durand D, Layrolle P, Mourad G, Garrigue V, Daurès JP, Soulillou JP, Giral M (2008) How to evaluate the long-term prognostic capacity of pre-graft variables in transplantation?. Clinical Transplant: 113-8.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2007) A semi-Markov model for multistate and interval-censored data with multiple terminal events. Application in renal transplantatio. Statistics in Medicine, 26(30): 5381-93.
  
  
• Foucher Y (2007) Modèles semi-Markoviens : Application à l'analyse de l'évolution de pathologies chroniques. Thèse de doctorat de l'Université Montpellier 1, 184.
  
  
• Giral M, Bertola JP, Foucher Y, Villers D, Bironneau E, Blanloeil Y, Karam G, Daguin P, Lerat L, Soulillou JP (2007) Effect of brain-dead donor resuscitation on delayed graft function: results of a monocentric analysis. Transplantation, 83(9): 1174-81.
  
  

Publications ayant le même axe principal de recherche (Modèles pronostiques)

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• Chatton A, Le Borgne F, Leyrat C, Gillaizeau F, Rousseau C, Barbin L, Laplaud D, Léger M, Giraudeau B, Foucher Y (2020) G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study. Scientific Reports, 10(1): 9219.
  
  
• Pladys P, Vigneau C, Raffray M, Sautenet B, Gentile S, Couchoud C, Bayat S (2020) Contribution of Medico-Administrative Data to the Development of a Comorbidity Score to Predict Mortality in End-Stage Renal Disease Patients . Sci Rep: doi: 10.1038/s41598-020-65612-x.
  
  
• (Soumis) Simon-Pimmel J, Foucher Y, Léger M, Feuillet F, Bodet-Contentin L, Cinotti R, Frasca D, Dantan E (2020) Hemorrhagic brain injuries in critical care units: a systematic review of prognostic models.
  
  
• (Soumis) Lejeune F , Chatton A, Laplaud D, Lepage E, Wiertlewski S, Edan G, Kerbrat A , Veillard D, Hamonic S , Jousset N, Le Frere F, Ouallet J, Brochet B, Ruet A , Foucher Y, Michel L (2020) SMILE: a predictive model for Scoring the severity of relapses in MultIple scLErosis.
  
  
• Tardivon C, Desmée S, Kerioui M, Bruno R, Wu B, Mentré F, Mercier F, Guedj J (2019) Association Between Tumor Size Kinetics and Survival in Patients With Urothelial Carcinoma Treated With Atezolizumab: Implication for Patient Follow-Up. Clin Pharmacol Ther, 106(4): 810-20.
  
  
• Vanier A, Smolen J, Allart C, Van Vollenhoven R, Verschueren P, Vastesaeger N, Saevarsdottir S, Visser K, Aletaha D, Combe B, Fautrel B (2019) Under Press, An updated matrix to predict rapid radiopgraphic progression of early rheumatoid arthritis patients: pooled analyses from several databases. Rheumatolody (Oxford): .
  
  
• Manera K, Tong A, Craig J, Shen J, Jesudason S, Cho Y, Sautenet B, Teixeira-Pinto A, Howell M, Wang A, Brown E, Brunier G, Perl J, Dong J, Wilkie M, Mehrotra R, Pecoits-Filho R, Naicker S, Dunning T, Scholes-Robertson N, Johnson D (2019) An international Delphi survey helped develop consensus-based core outcome domains for trials in peritoneal dialysis. Kidney Int, 96(3): 699-710.
  
  
• Sumpton D, Bigot A, Sautenet B, Craig J, Hassett G, Thakkar V, Tugwell P, Tong A (2019) The scope and consistency of outcomes reported in trials in patients with systemic sclerosis. Arthritis Care Res: doi: 10.1002/acr.24027. [Epub ahead of print].
  
  
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• Hanson C, Sautenet B, Craig J, Chapman J, Knoll G, Reddy B, Tong A (2019) Informative for Decision-making? The Spectrum and Consistency of Outcomes Following Living Kidney Donation Reported in Trials and Observational Studies. Transplantation, 103(2): 284-90.
  
  
• Tong A, Manns B, Wang A, Hemmelgarn B, Wheeler D, Gill J, Tugwell P, Pecoits-Filho R, Crowe S, Harris T, van Biesen W, Winkelmayer W, Levin A, Thompson A, Perkovic V, Ju A, Gutman T, Bernier-Jean A, Viecelli A, O'Lone E, Shen J, Josephson M, Cho Y, Johnson D, Sautenet B, Tonelli M, Craig J, SONG Implementation Workshop Investigators (2018) Implementing core outcomes in kidney disease: report of the Standardized Outcomes in Nephrology (SONG) implementation workshop. Kidney Int, 94(6): 1053-68.
  
  
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• Dantan E, Foucher Y, Lorent M, Giral M, Tessier P (2018) Optimal threshold estimator of a prognostic marker by maximizing a time-dependent expected utility function for a patient-centered stratified medicine. Statistical Methods in Medical Research, 27(6): 1847-1859.
  
  
• Fournier MC, Dantan E, Blanche P (2018) An R2-curve for evaluating the accuracy of dynamic predictions. Stat Med, 37(7): 1125-1133.
  
  
• Finon A, Zaragoza J, Maillard H, Beneton N, Bens G, Samimi M, Caille A, Machet L (2018) A high neutrophil to lymphocyte ratio prior to BRAF inhibitor treatment is a predictor of poor progression-free survival in patients with metastatic melanoma. Eur J Dermatol, 28(1): 38-43.
  
  
• Desmée S, Mentré F, Veyrat-Follet C, Sebastien B, Guedj J (2017) Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer. BMC Med Res Methodol, 17(1): 105.
  
  
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• Le Borgne F, Combescure C, Gillaizeau F, Giral M, Chapal M, Giraudeau B, Foucher Y (2017) Standardized and weighted time-dependent ROC curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors. Statistical Methods in Medical Research: 962280217702416. doi: 10.1177/0962280217702416.
  
  
• Le Borgne F, Giraudeau B, Querard AH, Giral M, Foucher Y (2016) Comparisons of the performance of different statistical tests for time-to-event analysis with confounding factors: practical illustrations in kidney transplantation. Stat Med, 35(7): 1103-16.
  
  
• Querard AH, Foucher Y, Combescure C, Dantan E, Larmet D, Lorent M, Pouteau LM, Giral M, Gillaizeau F (2016) Comparison of survival outcomes between Expanded Criteria Donors and Standard Criteria Donors kidney transplant recipients: a systematic review and meta-analysis. Transplant International, 29(4): 403-15.
  
  
• Fournier MC, Foucher Y, Blanche P, Buron F, Giral M, Dantan E (2016) A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes. European Journal of Epidemiology, 31(5): 469-79.
  
  
• Zaragoza J, Caille A, Beneton N, Bens G, Christiann F, Maillard H, Machet L (2016) High neutrophil to lymphocyte ratio measured before starting ipilimumab treatment is associated with reduced overall survival in patients with melanoma. Br J Dermatol, 174(1): 146-51.
  
  
• Le Fur A, Fournier MC, Gillaizeau F, Masson D, Giral M, Cariou B, Cantarovich D, Dantal J (2015) Vitamin D deficiency is an independent risk factor for PTDM after kidney transplantation.. Transplant international: .
  
  
• Chapal M, Foucher Y, Marquette C, Néau K, Papuchon E, Daguin P, Morelon E, Mourad G, Castillo J, Ladrière M, Legendre C, Giral M (2015) PREventing Delayed Graft Function by Driving Immunosuppressive InduCtion Treatment (PREDICT-DGF): study protocol for a randomized controlled trial. Trials, 16(1): 282.
  
  
• Gillaizeau F, Dantan E, Giral M, Foucher Y (2015) A multistate additive relative survival semi-Markov model. Statistical Methods in Medical Research, 26(4): 1700-1711.
  
  
• Foucher Y, Meurette A, Daguin P, Bonnaud-Antignac A, Hardouin JB, Néau K, Papuchon E, Guaboriau S, Legendre C, Morelon E, Tessier P, Giral M (2015) A Personalized Follow-up of Kidney Transplant Recipients by Using Video Conferencing based on a 1-year scoring system predictive of long term graft failure (TELEGRAFT study): Protocol for a Randomized Controlled Trial. BMC Nephrology, 16(1): 6.
  
  
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• Debout A, Foucher Y, Trébern-Launay K, Legendre C, Kreiss H, Mourad G, Garrigue V, Morelon E, Buron F, Rostaing L, Kamar N, Kessler M, Ladrière M, Poignas A, Blidi A, Soulillou JP, Giral M, Dantan E (2014) Each additional hour of Cold Ischemia Time significantly increases the risk of graft failure and mortality after renal transplantation. Kidney International, 87: 343-9.
  
  
• Yap M, Boeffard F, Clave E, Pallier A, Danger R, Giral M, Dantal J, Foucher Y, Guillot-Gueguen C, Toubert A, Soulillou JP, Degauque N (2014) Expansion of Highly Differentiated Cytotoxic Terminally Differentiated Effector Memory CD8+ T Cells in a Subset of Clinically Stable Kidney Transplant Recipients: A Potential Marker for Late Graft Dysfunction. J Am Soc Nephrol, 25(8): 1856-68.
  
  
• Combescure C, Foucher Y, Jackson D (2014) Meta-analysis of single-arm survival studies: a distribution-free approach for estimating summary survival curves with random effects. Statistics in Medicine, 33(15): 2521-37.
  
  
• Lorent M, Giral M, Foucher Y (2014) Net time-dependent ROC curves: a solution for evaluating the accuracy of a marker to predict disease-related mortality. Statistics in Medicine, 33(14): 2379-89.
  
  
• Dantan E, Combescure C, Lorent M, Ashton-Chess J, Daguin P, Classe JM, Giral M, Foucher Y (2014) An original approach was used to better evaluate the capacity of a prognostic marker using published survival curves. Journal of Clinical Epidemiology, 67(4): 441-8.
  
  
• Gillaizeau F, Giral M, Dantan E, Dragun D, Soulillou JP, Foucher Y (2014) Multi-state analysis of kidney transplant recipients outcome: a semi-Markov model for studying the role of pre-transplant sensitization against Angiotensin II Type 1 receptor. Journal de la Société Française de Statistique , 155(1): 117-133.
  
  
• Foucher Y, Akl A, Rousseau V, Trébern-Launay K, Lorent M, Kessler M, Ladrière M, Legendre C, Kreiss H, Rostaing L, Kamar N, Mourad G, Garrigue V, Morelon E, Daurès JP, Soulillou JP, Giral M (2014) An alternative approach to estimate age-related mortality of kidney transplant recipients compared to the general population: results in favor of old-to-old transplantations. Transplant International, 27(2): 219-25.
  
  
• Combescure C, Perneger T, Weber D, Daurès JP, Foucher Y (2014) Prognostic ROC Curves: A Method for Representing the Overall Discriminative Capacity of Binary Markers with Right-Censored Time-to-Event Endpoints. Epidemiology, 25(1): 103-9.
  
  
• Giral M, Foucher Y, Dufay A, Duong Van Huyen J, Renaudin K, Moreau A, Philippe A, Hegner B, Dechend R, Brouard S, Cesbron A, Castagnet S, Devys A, Soulillou JP, Dragun D (2013) Pretransplant Sensitization Against Angiotensin II Type 1 Receptor Is a Risk Factor for Acute Rejection and Graft Loss. American Journal of Transplantation, 13(10): 2567-76.
  
  
• Trébern-Launay K, Giral M, Dantal J, Foucher Y (2013) Comparison of the risk factors effects between two populations: two alternative approaches illustrated by the analysis of first and second kidney transplant recipients. BMC Medical Research Methodology, 13: 102.
  
  
• Foucher Y (2013) Modélisation et pronostic de l'évolution de pathologies chroniques : Applications en transplantation renale. , 193.
  
  
• Danger R, Foucher Y (2012) Time dependent ROC curves for the estimation of true prognostic capacity of microarray data. Statistical Applications in Genetics and Molecular Biology, 11(6): Article 1.
  
  
• Combescure C, Daurès JP, Foucher Y (2012) A literature-based approach to evaluate the predictive capacity of a marker using time-dependent summary receiver operating characteristics. Stat Methods Med Res: online first.
  
  
• Trébern-Launay K, Foucher Y, Giral M, Legendre C, Kreiss H, Kessler M, Ladrière M, Kamar N, Rostaing L, Garrigue V, Mourad G, Morelon E, Soulillou JP, Dantal J (2012) Poor long-term outcome in second kidney transplantation : a delayed event. PLoS One, 7(10): e47915.
  
  
• Foucher Y, Combescure C, Ashton-Chess J, Giral M (2012) Prognostic Markers: Data Misinterpretation Often Leads to Overoptimistic Conclusions. Am J Transplant, 12(4): 1060-1.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2012) Cut-off estimation and medical decision making based on a continuous prognostic factor : the prediction of kidney graft failure. Int J Biostat, 8(1): 1–13.
  
  
• Degauque N, Boeffard F, Foucher Y, Ballet C, Brouard S, Soulillou JP (2011) The Blood of Healthy Individuals Exhibits CD8 T Cells with a Highly Altered TCR Vb Repertoire but with an Unmodified Phenotype. PLoS One, 6(6): e21240.
  
  
• Brouard S, Le Bars A, Dufay A, Gosselin M, Foucher Y, Guillet M, Cesbron A, Thervet E, Legendre C, Dugast E, Pallier A, Guillot-Gueguen C, Lagoutte L, Evanno G, Giral M, Soulillou JP (2011) Identification of a gene expression profile associated with operational tolerance among a selected group of stable kidney transplant patients. Transplantation International, 24(6): 536-547.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2010) Time-dependent ROC analysis for a three-class prognostic with application to kidney transplantation. Statistics in Medicine, 29(30): 3079-87.
  
  
• Foucher Y, Daguin P, Akl A, Kessler M, Ladrière M, Legendre C, Kreiss H, Kamar N, Rostaing L, Garrigue V, Bayle F, de Ligny B, Buchler M, Meier C, Soulillou JP, Giral M (2010) A clinical scoring system highly predictive of long-term kidney graft survival.. Kidney International, 78(12): 1288-94.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2010) A flexible semi-Markov model for interval-censored data and goodness-of-fit testing. Statistical Methods in Medical Research, 19(2): 127-45.
  
  
• Ladrière M, Foucher Y, Legendre C, Kamar N, Garrigue V, Morelon E, Kressler M, Soulillou JP, Giral M (2010) The Western Europe Cohort Of Kidney Transplanted Recipients - The DIVAT Network. In Clinical Transplants (J. Michael Cecka and Paul I. Terasaki): Terasaki Foundation Laboratory.
  
  
• Foucher Y, Daguin P, Kessler M, Ladrière M, Legendre C, Kreiss H, Durand D, Mourad G, Garrigue V, Soulillou JP, Giral M (2008) How well do pre- and peritransplant variables predict the long-term results of kidney transplantation?. In Clinical Transplants - Chapter 10 (J. Michael Cecka and Paul I. Terasaki): Terasaki Foundation Laboratory.
  
  
• Foucher Y, Daguin P, Kessler M, Laveyssiere L, Legendre C, Kreiss H, Durand D, Layrolle P, Mourad G, Garrigue V, Daurès JP, Soulillou JP, Giral M (2008) How to evaluate the long-term prognostic capacity of pre-graft variables in transplantation?. Clinical Transplant: 113-8.
  
  
• Foucher Y, Giral M, Soulillou JP, Daurès JP (2007) A semi-Markov model for multistate and interval-censored data with multiple terminal events. Application in renal transplantatio. Statistics in Medicine, 26(30): 5381-93.
  
  
• Castelli C, Combescure C, Foucher Y, Daurès JP (2007) Cost-effectiveness analysis in colo-rectal cancer using a semi-Markov model. Statistics in Medicine, 26(30): 5557-71.
  
  
• Foucher Y (2007) Modèles semi-Markoviens : Application à l'analyse de l'évolution de pathologies chroniques. Thèse de doctorat de l'Université Montpellier 1, 184.
  
  
• Mathieu E, Foucher Y, Dellamonica P, Daurès JP (2007) A Parametric and Non Homogeneous Semi-Markov Process for HIV control. Methodology and Computing in Applied Probability, 9(3): 389-97.
  
  
• Foucher Y, Saint-Pierre P, Puglièse P, Daurès JP (2006) A Semi-Markov Frailty Model for Multistate Survival Data : Illustration on HIV Disease. Far East Journal of Theoretical Statistics, 19: 185-201.
  
  
• Foucher Y, Mathieu E, Saint-Pierre P, Durand JF, Daurès JP (2005) A semi-Markov model based on Generalized Weibull distribution with an illustration for HIV disease. Biometrical Journal, 47(6): 825-33.
  
  
• Giral M, NGuyen JM, Karam G, Kessler M, Hurault de Ligny B, Buchler M, Bayle F, Meyer C, Foucher Y, Martin ML, Daguin P, Soulillou JP (2005) Impact of graft mass in the clinical outcome of kidney transplants. Journal of the American Society of Nephrology, 16: 261-268.
  
  

Publications liées à l'axe principal de recherche (Modèles pronostiques)

• Chapal M, Néel M, Le Borgne F, Meffray E, Carceles O, Hourmant M, Giral M, Foucher Y, Moreau A, Fakhouri F (2013) Increased soluble flt-1 correlates with delayed graft function and early loss of peritubular capillaries in the kidney graft. Transplantation, 96(8): 739-44.
  
  
• Cantarovich D, Hodemon-Corne B, Trébern-Launay K, Giral M, Foucher Y, Dantan E (2013) Early steroid withdrawal compared with steroid avoidance correlates with graft failure among kidney transplant recipients with an history of diabetes. Transplantation Procedings, 45(4): 1497-502.
  
  
• Danger R, Paul C, Giral M, Foucher Y, Degauque N, Pallier A, Durand M, Castagnet S, Duong Van Huyen J, Delahousse M, Renaudin K, Soulillou JP, Brouard S (2013) Expression of miR-142-5p in peripheral blood mononuclear cells from renal transplant patients with chronic antibody-mediated rejection. PLoS One, 8(4): e60702.
  
  
• Thibaud A, Foucher Y, Danger R, Migone T, Pallier A, Castelli C, Castagnet S, Devys A, Cesbron A, Giral M, Soulillou JP, Brouard S (2012) BAFF and BAFF-R levels are associated with risk of long-term kidney graft dysfunction and development of donor-specific antibodies. Am J Transplant, 12(10): 2754-62.
  
  
• Racapé M, Duong Van Huyen J, Danger R, Giral M, Bleicher F, Foucher Y, Pallier A, Pilet P, Tafelmeyer P, Ashton-Chess J, Dugast E, Pettre S, Charreau B, Soulillou JP, Brouard S (2011) The involvement of SMILE/TMTC3 in endoplasmic reticulum stress response. PLoS One, 6(5): e19321.
  
  
• Dahyot-Fizelier C, Frasca D, Lasocki S, Asehnoune K, Balayn D, Guerin AL, Perrigault PF, Geeraerts T, Seguin P, Rozec B, Elaroussi D, Cottenceau V, Guyonnaud C, Mimoz O; PROPHY-VAP Study group, ATLANREA group. Prevention of early ventilation-acquired pneumonia (VAP) in comatose brain-injured patients by a single dose of ceftriaxone: PROPHY-VAP study protocol, a multicentre, randomised, double-blind, placebo-controlled trial.. , 8(10): .