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main
Corentin Choisy 1 year ago
parent d4e717da03
commit 91c6f69f8b

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The MIT License (MIT)
=====================
**Copyright (c) 2018-2022 Anish Athalye (me@anishathalye.com)**
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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.PHONY: main clean FORCE
main: poster.pdf
poster.pdf: FORCE
latexmk -pdflatex='lualatex -interaction nonstopmode' -pdf poster.tex
clean:
latexmk -pdf -C

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@article{metzger2003expanded,
title={Expanded criteria donors for kidney transplantation},
author={Metzger, Robert A and Delmonico, Francis L and Feng, Sandy and Port, Friedrich K and Wynn, James J and Merion, Robert M},
journal={American Journal of Transplantation},
volume={3},
pages={114--125},
year={2003},
publisher={Blackwell Science Ltd Oxford, UK}
}
@article{dantan2021covariates,
title={Covariates adjustment questioned conclusions of predictive analyses: an illustration with the Kidney Donor Risk Index},
author={Dantan, Etienne and Le Borgne, Florent and Giral, Magali and Dion, Angelina and Querard, Anne-H{\'e}l{\`e}ne and Foucher, Yohann},
journal={Journal of Clinical Epidemiology},
volume={135},
pages={103--114},
year={2021},
publisher={Elsevier}
}
@article{rein2015,
title={Rapport Annuel 2015},
publisher={REIN (Réseau Epidémiologique et Information en Néphrologie)},
journal={Agence de la Biomédecine},
year={2015},
url={https://www.agence-biomedecine.fr/IMG/pdf/rapport_rein_2015.pdf}
}
@inproceedings{bongard2012estimation,
title={Estimation et caract{\'e}risation de linsuffisance r{\'e}nale chronique en France},
author={Bongard, V and Dallongeville, J and Arveiler, D and Ruidavets, J-B and Cottel, D and Wagner, A and Ferri{\`e}res, J},
booktitle={Annales de Cardiologie et d'Ang{\'e}iologie},
volume={61},
number={4},
pages={239--244},
year={2012},
organization={Elsevier}
}
@article{aubert2019disparities,
title={Disparities in acceptance of deceased donor kidneys between the United States and France and estimated effects of increased US acceptance},
author={Aubert, Olivier and Reese, Peter P and Audry, Benoit and Bouatou, Yassine and Raynaud, Marc and Viglietti, Denis and Legendre, Christophe and Glotz, Denis and Empana, Jean-Phillipe and Jouven, Xavier and others},
journal={JAMA internal medicine},
volume={179},
number={10},
pages={1365--1374},
year={2019},
publisher={American Medical Association}
}
@article{has2015,
title={Transplantation Rénale - Accès à la liste d'attente nationale - Recommandation de bonne pratique},
journal={Haute Autorité de Santé},
year={2015},
url={https://www.has-sante.fr/upload/docs/application/pdf/2015-12/rbp_recommandations_greffe_renale_vd_mel.pdf}
}
@article{rao2009comprehensive,
title={A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index},
author={Rao, Panduranga S and Schaubel, Douglas E and Guidinger, Mary K and Andreoni, Kenneth A and Wolfe, Robert A and Merion, Robert M and Port, Friedrich K and Sung, Randall S},
journal={Transplantation},
volume={88},
number={2},
pages={231--236},
year={2009},
publisher={LWW}
}

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% Unofficial University of Cambridge Poster Template
% https://github.com/andiac/gemini-cam
% a fork of https://github.com/anishathalye/gemini
% also refer to https://github.com/k4rtik/uchicago-poster
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% ====================
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% ====================
% Title
% ====================
\title{Development and Validation of a french kidney donor marginality score}
\author{Corentin Choisy \inst{1} \and Magali Giral \inst{2,3} \and Etienne Dantan \inst{1}}
\institute[shortinst]{\inst{1} SPHERE UMR 1246, Nantes Université, Univ Tours, CHU Nantes, Inserm, Nantes, France \and \inst{2} CR2TI UMR 1064, Nantes Université, ITUN, CHU Nantes, RTRS Centaure, Nantes, France \and \inst{3} Centre d'Investigation Clinique en Biothérapie, Nantes, France}
% ====================
% Footer (optional)
% ====================
\footercontent{
\href{https://www.divat.fr/}{https://www.sphere-inserm.fr/} \hfill
Congrès Nan'thèse 2023, Nantes --- France \hfill
\href{mailto:corentin.choisy@univ-nantes.fr}{corentin.choisy@univ-nantes.fr}}
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% ====================
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% ====================
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% ====================
% Body
% ====================
\begin{document}
% Refer to https://github.com/k4rtik/uchicago-poster
% logo: https://www.cam.ac.uk/brand-resources/about-the-logo/logo-downloads
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\begin{block}{Background}
\begin{itemize}
\item \textbf{Kidney transplantation (KT)}: recognised as the best treatment for \textbf{end-stage chronic renal disease}
\begin{itemize}
\setlength{\itemindent}{1em}
\item \textbf{Graft shortage} in countries with aging population
\textbf{\textcolor{nottblue}{$\Rightarrow$ Necessity for expansion of graft pool}}
\end{itemize}
\item Wide use of \textbf{marginal grafts} with suboptimal properties for patient-graft survival
\item Decision making tools to assist clinicians in evaluating graft proposals
\begin{itemize}
\setlength{\itemindent}{1em}
\item \textbf{ECD \cite{metzger2003expanded}} Older than 60 years old or between 50 and 59 with at least 2 comorbidities among: high serum creatinine, history of hypertension and death by CVA
\textbf{\textcolor{nottblue}{$\Rightarrow$ Binary criterion, no gradient between less and more marginal donors}}
\item \textbf{KDRI/KDPI \cite{rao2009comprehensive}} Continuous/percentile scale defined by 10 donor features
\textbf{\textcolor{nottblue}{$\Rightarrow$ Not adapted to the french population \cite{dantan2021covariates} and prone to increased graft refusal rate \cite{aubert2019disparities}}}
\end{itemize}
\end{itemize}
\vskip-0.5em
{\centering\includegraphics[scale=1.6]{Images/Chronic renal disease prevalence.pdf}\par}
\vskip-1em
\end{block}
\begin{block}{Objectives}
Develop and validate a \textbf{\textcolor{nottblue}{kidney donor marginality score}}, \textbf{adapted to the french population} and \textbf{suited for the current practices} in KT in France
\begin{itemize}
\item \textbf{Donor/recipient interactions} will be studied in order to express donor marginality in relation to recipient characteristics
\item \textcolor{darkgray}{\textbf{Recipient loss-of-chance} related to receiving a marginal graft as defined by the proposed score will be studied}
\end{itemize}
\end{block}
\begin{alertblock}{Materials and Methods}
\begin{itemize}
\item \textbf{7622 patients} from the DIVAT national kidney transplant cohort
\item First-time deceased donor graft recipients without donor-recipient ABO incompatibility
\item \textbf{Multivariate Cox regression} model built via blockwise variable selection approach (Donor/Graft/Recipient features integrated/removed from the model in 11 steps)
\item Assessment of \textbf{period/center effect} via adjusted and frailty models
\item New variable selection steps after integration of period/center effects
\end{itemize}
{\centering\includegraphics[scale=0.36]{Images/analyse.png}\par}
{\centering\small \textbf{Variable selection process} (square nodes indicate all previously included predictors were forced in the model during backward selection, circle nodes indicate no variable was forced)\par}
\end{alertblock}
\begin{block}{Funding}
\centering
This work was supported by the French Biomedicine Agency (reference: AOR Greffe 2022)
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{\centering\includegraphics[scale=0.8]{logos/logband.png}\par}
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\begin{block}{Results}
\vskip-1em
\begin{figure}
\centering
\includegraphics[scale=1.5]{Images/km_global.pdf}
\vskip-1.25em
\caption{Patient/allograft survival analysis}
\label{fig:km}
\end{figure}
\begin{table}[]
\centering
\begin{tabular}{@{}lcccc@{}}
\toprule
& \beta & 95\% CI \\ \midrule
Donor age & -0.020 & {[-0.037}-- {-0.003]} \\
Donor after cardiac death & 0.691 & {[0.416}--{0.967]} \\
Donor death by CVA & -0.616 & {[-1.224}-- {-0.008]} \\
Donor serum creatinine & 0.001 & {[0.0001}--{0.002]} \\
Donor height & -0.011 & {[-0.018}-- {-0.004]} \\
Donor weight & 0.005 & {[0.001}--{0.010]} \\
Positive donor CMV serology & 0.124 & {[0.010}--{0.239]} \\
\addlinespace\addlinespace
\textcolor{darkgray}{\textbf{HLA incompatibilities \geq 4}} & 0.151 & {[0.009}--{0.293]} \\
Time on dialysis & 0.0001 & {[0.0001}--{0.0001]} \\
Transplanted before 2012 & 0.190 & {[0.040}--{0.340]} \\
\addlinespace\addlinespace
Recipient age & -0.021 & {[-0.036}-- {-0.005]} \\
Recipient BMI & 0.011 & {[-0.003}--{0.025]} \\
Recipient history of diabetes & 0.376 & {[0.234}--{0.517]} \\
Recipient history of cardiovascular disease & 0.408 & {[0.239}--{0.527]} \\
Hemodialysis & 0.250 & {[0.048}--{0.452]} \\
\textcolor{darkgray}{\textbf{Donor age*Recipient age}} & 0.001 & {[0.0001}--{0.001]} \\
\textcolor{darkgray}{\textbf{Donor death by CVA*Recipient age}} & 0.014 & {[0.003}--{0.024]} \\ \bottomrule
\end{tabular}
\caption{\label{mod-table}Proportional hazards Cox model analysis of retained factors and interactions after multivariate selection}
\end{table}
\vskip-1em
\begin{itemize}
\item Donor age, beating heart status ($HR=2.00$), cause of death, creatininemia, height, weight and CMV serology ($HR=1.13$) will be integrated into the score. For a given donor, the score will differ depending on recipient age and donor/recipient HLA ABDR incompatibilities.
\end{itemize}
\end{block}
\vskip-0.5em
\begin{exampleblock}{What's next}
\vskip0.3em
\begin{itemize}
\item \textbf{Internal validation} of the model, $\frac{1}{3}$ of the database allocated to a random validation sample
\item \textbf{Validity assessed through:}
\begin{itemize}
\setlength{\itemindent}{1em}
\item \textbf{Calibration:} calibration plot, predicted survival by score quantile, Brier score
\item \textbf{Discrimination:} time-dependent ROC curve (AUC, PPV/NPV) and time-dependent ROC curve per recipient strata
\end{itemize}
\item \textbf{Propensity score}-based analysis to estimate population-averaged effects and propose a recipient loss-of-chance-based approach
\item Development of an \textbf{online score computation tool} for clinicians
\end{itemize}
\end{exampleblock}
\vskip-1em
\begin{block}{References}
\vskip-0.15em
\nocite{*}
\footnotesize{\bibliographystyle{plain}\bibliography{poster}}
\end{block}
\end{column}
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\end{frame}
\end{document}
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