Grant: Project Grant
University of Calgary
$577,576.00
Machine Learning Design of a Post-ERCP Pancreatitis Clinical Decision Tool (PEP-CADET)
EF 2021-22
Résumé
Endoscopic retrograde cholangio-pancreatography (ERCP) is a commonly performed procedure to treat conditions of the pancreas and bile ducts. About 50 000 ERCPs are performed in Canada every year, comparable to the number of appendectomies or hip replacements. Post-ERCP pancreatitis (PEP) is the most common risk of ERCP, occurring in over 10% of patients. Over $20M of annual Canadian healthcare spending is directly related to the consequences of PEP. Several evidence-based methods exist to reduce the risk of PEP, but many are costly or impractical. A clinical decision tool that predicts PEP risk for a specific patient and gives the doctor recommendations on which PEP prevention method(s) to use could significantly improve patient outcomes and reduce healthcare spending. In this proposal, we describe the design and testing of such a tool.
Programme
Project Grant
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
461752
Name
Forbes Nauzer
Region
Alberta
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Nutrition, Metabolism and Diabetes
Theme2
Clinical
Prcname2
Clinical Investigation - C: Digestive, Endocrine and Excretory Systems
Projecttitle
Machine Learning Design of a Post-ERCP Pancreatitis Clinical Decision Tool (PEP-CADET)
Programtype2
Operating Grants
Orgnameinp2
University of Calgary
Cihramount2
$577,576
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Clinical Decision Tool; Endoscopic Retrograde Cholangiopancreatography; Pancreatitis
Abstract
Endoscopic retrograde cholangio-pancreatography (ERCP) is a commonly performed procedure to treat conditions of the pancreas and bile ducts. About 50 000 ERCPs are performed in Canada every year, comparable to the number of appendectomies or hip replacements. Post-ERCP pancreatitis (PEP) is the most common risk of ERCP, occurring in over 10% of patients. Over $20M of annual Canadian healthcare spending is directly related to the consequences of PEP. Several evidence-based methods exist to reduce the risk of PEP, but many are costly or impractical. A clinical decision tool that predicts PEP risk for a specific patient and gives the doctor recommendations on which PEP prevention method(s) to use could significantly improve patient outcomes and reduce healthcare spending. In this proposal, we describe the design and testing of such a tool.
Competitiondate
202203
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Forbes, Nauzer; Heitman, Steven J
Approvedterm
4 ans 0 mois
Cihrcontribution2
~ $577,576~ $0~