Background incidence of coagulopathies, thromboembolic, rare embolic, and thrombosis with thrombocytopenia syndrome events of special interest for COVID-19 vaccine safety surveillance

• Type: Characterisation
• Results explorer: ShinyApp
• Protocol: ** **
• Publications: ** **

Running the analysis

1. Download this entire repository (you can download as a zip folder using Code -> Download ZIP, or you can use GitHub Desktop).
2. Open the project CovCoagBackgroundIncidence.Rproj in RStudio (when inside the project, you will see its name on the top-right of your RStudio session)
3. Open the CodeToRun.R file which should be the only file that you need to interact with

Run renv::activate() and renv::restore() to bring in the required packages to be used

outputFolder <- "....": the path to a folder (that exists) where the results from this analysis will be saved

connectionDetails <- createConnectionDetails("........."): These are the connection details for the OHDSI DatabaseConnector package.Note, this is v4.0.0 of DatabaseConnector and so you will need to have downloaded the relevant drivers (see here for more details) and pass the pathToDriver argument to the createConnectionDetails command.

targetDialect <-".....": This is your sql dialect used with the OHDSI SqlRender package

cdm_database_schema <-".....": This is the name of the schema that contains the OMOP CDM with patient-level data

results_database_schema <-".....": This is the name of the schema where a results table will be created

cohortDatabaseSchema <-".....": This is the name of the schema where a results table will be created

cohortTableExposures<-"diagCovCoagIncExposures", cohortTableOutcomes <-"diagCovCoagIncOutcomes", cohortTableProfiles<-"diagCovCoagIncProfiles": These are the tables to be created in your results schema for this analysis. Note, any existing tables in your results schema with the same name will be overwritten

db <- dbConnect("........."): This is a connection to your database with the DBI package. Database specific information for how to create this connection can be found here

db.name <-".....": This is the short name/ acronym for your database

test.run<-FALSE: If you want to to quckly (well, relatively) check that the package works, set this to TRUE and the code will run for one exposure population, one baseline commorbidity, one baseline medication, and one outcome of interest. If that works, then change back to TRUE and re-run for the full analysis

After running you should then have a zip folder with results to share in your output folder. This contains three RData files, which contain aggregated statistics on patient characteristics and incidence rates.