Risk of severe COVID-19 outcomes associated with immune-mediated inflammatory diseases and immune modifying therapies: a nationwide cohort study in the OpenSAFELY platform

This is the code and configuration for our paper Risk of severe COVID-19 outcomes associated with immune-mediated inflammatory diseases and immune-modifying therapies: a nationwide cohort study in the OpenSAFELY platform.

• The paper is here in Lancet Rheumatology.
• Raw model outputs, including charts, crosstabs, etc, are available here.
• If you are interested in how we defined our variables, take a look at the study definition; this is written in python, but non-programmers should be able to understand what is going on there
• If you are interested in how we defined our code lists, look in the codelists folder.
• Developers and epidemiologists interested in the code should review DEVELOPERS.md.

About the OpenSAFELY framework

The OpenSAFELY framework is a secure analytics platform for electronic health records research in the NHS.

Instead of requesting access for slices of patient data and transporting them elsewhere for analysis, the framework supports developing analytics against dummy data, and then running against the real data within the same infrastructure that the data is stored. Read more at OpenSAFELY.org.