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Large Scale Study of the Long-Term Effects of COVID-19 Infection Using Aggregated EHR Data


Will Baskett







COVID-19 is known to have complex multi-system effects but the lasting effects of infection remain poorly understood. With the number of confirmed infections globally surpassing 200 million it is more important than ever to understand the potential long-term implications of COVID-19 infection on patient health. We have created a pipeline to analyze data from over 1.4 billion medical encounters recorded in the Cerner Real World Data EHR database. We apply this pipeline to analyze the effect of COVID-19 infection on the rate of subsequent new dementia diagnoses 30+ days after the infection period in patients hospitalized with pneumonia with no history of dementia. When adjusting for confounding factors we observe a significant association between COVID-19 infection and incident dementia.

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