Summary
"The incidence of paediatric onset Inflammatory Bowel Diseases (PIBD) has risen dramatically in recent decades. Compared to adult forms, PIBD reflects a more severe disease, more often requiring aggressive treatment with immunomodulators, and thereby exposing children to a life-long risk of serious disease and treatment-related adverse events, such as infections and malignancies. Therefore, there is an urgent need to develop strategies which balance, on an individual basis, therapeutic effectiveness with risks of treatment.
The overall goal of this proposal is to develop and validate a treatment algorithm for PIBD based on high or low risk predictors for early complicated or relapsing disease. This will improve effectiveness, while reducing treatment related risks and life-long complications due to uncontrolled disease progression.
To attain this goal 3 specific aims are proposed under the umbrella of an international network, the ""PIBD-net"":
1) Development of an accessible and feasible risk-stratified treatment algorithm for new onset paediatric IBD on an existing inception cohort and validation in an independent cohort
2) Generation of a prospective large longterm real world inception cohort in a registry designed to analyze effectiveness and safety signals and correlate them to individual risk factors
3) Design and performance of a risk algorithm-based prospective large-scale multicenter randomized clinical trial (RCT) (stratification into high or low risk groups based on specific aim#1) in order to provide optimal personalized therapy : low risk azathioprine vx. methotrexate, high risk : methotrexate vx. adalimumab
This project will translate into the first risk-stratified PIBD treatment algorithms allowing optimization of medical therapy while minimizing treatment-related risk (personalized medicine).
"
The overall goal of this proposal is to develop and validate a treatment algorithm for PIBD based on high or low risk predictors for early complicated or relapsing disease. This will improve effectiveness, while reducing treatment related risks and life-long complications due to uncontrolled disease progression.
To attain this goal 3 specific aims are proposed under the umbrella of an international network, the ""PIBD-net"":
1) Development of an accessible and feasible risk-stratified treatment algorithm for new onset paediatric IBD on an existing inception cohort and validation in an independent cohort
2) Generation of a prospective large longterm real world inception cohort in a registry designed to analyze effectiveness and safety signals and correlate them to individual risk factors
3) Design and performance of a risk algorithm-based prospective large-scale multicenter randomized clinical trial (RCT) (stratification into high or low risk groups based on specific aim#1) in order to provide optimal personalized therapy : low risk azathioprine vx. methotrexate, high risk : methotrexate vx. adalimumab
This project will translate into the first risk-stratified PIBD treatment algorithms allowing optimization of medical therapy while minimizing treatment-related risk (personalized medicine).
"
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/668023 |
| Start date: | 01-01-2016 |
| End date: | 30-06-2021 |
| Total budget - Public funding: | 5 996 000,00 Euro - 5 996 000,00 Euro |
Cordis data
Original description
"The incidence of paediatric onset Inflammatory Bowel Diseases (PIBD) has risen dramatically in recent decades. Compared to adult forms, PIBD reflects a more severe disease, more often requiring aggressive treatment with immunomodulators, and thereby exposing children to a life-long risk of serious disease and treatment-related adverse events, such as infections and malignancies. Therefore, there is an urgent need to develop strategies which balance, on an individual basis, therapeutic effectiveness with risks of treatment.The overall goal of this proposal is to develop and validate a treatment algorithm for PIBD based on high or low risk predictors for early complicated or relapsing disease. This will improve effectiveness, while reducing treatment related risks and life-long complications due to uncontrolled disease progression.
To attain this goal 3 specific aims are proposed under the umbrella of an international network, the ""PIBD-net"":
1) Development of an accessible and feasible risk-stratified treatment algorithm for new onset paediatric IBD on an existing inception cohort and validation in an independent cohort
2) Generation of a prospective large longterm real world inception cohort in a registry designed to analyze effectiveness and safety signals and correlate them to individual risk factors
3) Design and performance of a risk algorithm-based prospective large-scale multicenter randomized clinical trial (RCT) (stratification into high or low risk groups based on specific aim#1) in order to provide optimal personalized therapy : low risk azathioprine vx. methotrexate, high risk : methotrexate vx. adalimumab
This project will translate into the first risk-stratified PIBD treatment algorithms allowing optimization of medical therapy while minimizing treatment-related risk (personalized medicine).
"
Status
CLOSEDCall topic
PHC-18-2015Update Date
26-10-2022
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Organisations
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| UNIVERSITE PARIS CITE (Coördinator)
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| AIMES GRID SERVICES COMMUNITY INTEREST COMPANY
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| AIMES MANAGEMENT SERVICES LIMITED
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| DEUTSCHE MORBUS CROHN/COLITIS ULCEROSA VEREINIGUNG BUNDESVERBAND FUR CHRONISCH ENTZUNDLICHE ERKRANKU...
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| ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM
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| GREATER GLASGOW HEALTH BOARD
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| LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
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| PEDIATRIC INFLAMATORY BOWEL DISEASES NETWORK PIBD-NET
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| QUEEN MARY UNIVERSITY OF LONDON
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| SHAARE ZEDEK MEDICAL CENTER
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| THE FOUNDATION FOR MEDICAL RESEARCH AND DEVELOPMENT OF INFRASTRUCTURES AND HEALTHCARE SERVICES BY TH...
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| UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
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| VIB VZW
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| VRIJE UNIVERSITEIT BRUSSEL (VUB)