High-Throughput Computing to Automate Population-Based Studies to Detect the 30-Day Risk of Adverse Outcomes After New Outpatient Medication Use in Older Adults with Chronic Kidney Disease: A Clinical Research Protocol

High-Throughput Computing to Automate Population-Based Studies to Detect the 30-Day Risk of Adverse Outcomes After New Outpatient Medication Use in Older Adults with Chronic Kidney Disease: A Clinical Research Protocol

Background: Safety issues are detected in about one third of prescription drugs in the years following regulatory agency approval. Older adults, especially those with chronic kidney disease, are at particular risk of adverse reactions to prescription drugs. This protocol describes a new approach tha...

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Bibliographic Details
Main Authors: Sheikh S. Abdullah, Neda Rostamzadeh, Flory T. Muanda, Eric McArthur, Matthew A. Weir, Jessica M. Sontrop, Richard B. Kim, Sedig Kamran, Amit X. Garg
Format: Article
Language:English
Published: SAGE Publishing 2024-01-01
Series:Canadian Journal of Kidney Health and Disease
Online Access:https://doi.org/10.1177/20543581231221891

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https://doi.org/10.1177/20543581231221891

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