The Kidney transplantation application (KiTapp): A visualization and contextualization tool in a kidney graft patients' cohort

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HAL Id: inserm-02161749

https://www.hal.inserm.fr/inserm-02161749

Submitted on 21 Jun 2019

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The Kidney transplantation application (KiTapp): A

visualization and contextualization tool in a kidney graft

patients’ cohort

Corentin Hervé, Nicolas Vince, Sophie Brouard, Magali Giral, Sophie Limou,

Gilles Blancho, Pierre-Antoine Gourraud

To cite this version:

Corentin Hervé, Nicolas Vince, Sophie Brouard, Magali Giral, Sophie Limou, et al.. The Kidney transplantation application (KiTapp): A visualization and contextualization tool in a kidney graft patients’ cohort. EFI 2017, May 2017, Mannheim, Antigua and Barbuda. �inserm-02161749�

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The Kidney transplantation application (KiTapp): A visualization

and contextualization tool in a kidney graft patients’ cohort.

Corentin Hervé1,2_{, Nicolas Vince}1,2_{, Sophie Brouard}1,2_{, Magali Giral}1,2_,

Sophie Limou1,2,3_{, Gilles Blancho}1,2_{, Pierre-Antoine Gourraud}1,2

1_{Centre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France;}2_Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France; 3_{Ecole Centrale de Nantes, Nantes, France}

Kidney Transplantation

Precision Medicine

Referential

contextualization :

Comparison with

predefined groups

Populational

contextualization :

Selection by filters or

nearest neighbors

• Treatment of choice for ESRD (End-stage

renal disease)

• Follow-up reveals many complications

• Rejection, cancer…

Can we anticipate complications?

• Optimization of medical care for a specific patient

• Smart use of all stored data

• Contextualization amongst his/her peers

• Goal of targeted therapies –

personalized monitoring

“DIVAT” Cohort

N=1500 patients

Example of a high risk

population :

patients >75 years old

64 patients

Population selected with filters : qAge +/- 5 years qSame sex qBMI +/- 2 … Creatinine overtime for the patient of interest compared to the selected population. Patient Mean Standard deviation Distribution of Tacrolimus doses on a period of 4 years for the old population. Our patient Not all individuals have data at each visit. Gourraud PA et al., Annals of Neurology, 2014

Expertise

Referential

Nearest neighbors

Filters

Clinical

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+

Statistical

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+

Computational

+

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FAMD (Factorial Analysis of Mixed Data) Patient of interest Compared patients Age = 64 Sex = Male BMI = 24.5

KiTapp

N = 60 N = 25 N = 8 N= 33 N= 34 N= 40 N= 21 N= 13 N= 9 Low High

Clinical ambition: support clinical decision by facilitating access to big data in a actionable manner

Technological ambition: software and algorithms developed here could be applicable to various

chronic medical conditions