Project Summary/Abstract Legionnaires’ disease (LD) is a severe bacterial pneumonia with a high case fatality rate (~10%). Recent public health concern and funding has been directed towards understanding the increasing incidence of LD. Over the past two decades, incidence has increased from <0.5 cases/100,000 population to almost 2.5 cases/100,000 population. There are multiple hypotheses for the increase, including an increase in the proportion of the population that is highly susceptible to LD. While the burden of disease is likely due to a combination of factors (e.g. diagnostic testing intensity, weather), we believe that an increase in the proportion of the population that is highly susceptible may play a critical, and understudied, role in the increasing incidence. The highly susceptible population of interest includes those who are taking immunosuppressing medications. TNF inhibitors (TNFi) (e.g. adalimumab, etanercept, infliximab) are commonly prescribed for rheumatoid arthritis and other autoimmune disorders and have been associated with increased susceptibility to all-cause respiratory infections. In 2011, the FDA updated the Boxed Warning for TNFi to include potential risk of infection due to Listeria and Legionella. This advisory was in response to a limited number of case reports and observational studies and lacked formal analyses able to adjust for risk attributed to the chronic underlying illness (e.g. rheumatoid arthritis). An analysis quantifying the relationship between LD and a modifiable risk factor, such as TNFi, would provide needed information to potentially curb the increase in disease. Importantly, uptake of TNFi increased dramatically during the same time period as the increase in reported LD. We hypothesize that 1) TNF inhibitors place individuals at greater risk for Legionnaires’ disease compared to conventional disease modifying anti-rheumatic drugs (cDMARDs; e.g. methotrexate) and that 2) there is a temporal association between increasing uptake of TNFi and Legionnaires’ disease incidence. To robustly estimate these potential associations, we will take advantage of robust Danish national register data. Danish national medical register data for approximately 25,000 people indicated for TNFis or cDMARDs between 2000 and 2020 will be explored. Information on inpatient and outpatient visits, as well as pharmaceutical prescriptions will be included which offers the unique ability to identify hazard windows, adjust for underlying disease, and detect longitudinal associations between prescription uptake and LD incidence. Previous studies of the association between TNFi and LD have not been able to adjust for underlying disease severity, adding needed novelty to our study design. Secondary analyses will assess other infectious disease outcomes that may be associated with TNFi use (e.g. Salmonella, Listeria, all-cause pneumonia). The results of these studies will 1) influence Legionnaires’ disease surveillance and prevention...