Today, almost 60 percent of the U.S. has been infected with COVID-19, a figure the CDC says is likely a conservative estimate. While most people infected recover fully in a matter of weeks, millions of people continue to suffer the effects of COVID-19 months—or even years—after initial infection. When COVID-19 effects are felt for this long after initially testing positive, it is described as post-acute sequelae of SARS-Cov-2 (PASC) infection, or “long COVID”. Many facets of long COVID remain a mystery. Who is likely to suffer long COVID? What’s the best way to treat it? What, if any, lasting health effects might long COVID produce? To answer these questions, researchers within PCORnet®, The National Patient-Centered Clinical Research Network, have been funded through the National Institutes of Health RECOVER initiative to leverage PCORnet data resources to understand long COVID in adults and children.
“Studying long COVID is exactly the type of research that the PCORnet infrastructure was designed to support,” said Charles Bailey, co-leader of EHR cohort studies for RECOVER. “We don’t have a reliable definition of the condition yet, so we don’t know what we are looking for. However, using PCORnet resources, we aim to sharpen the clouded picture of long COVID and bring much-needed insights to patients and providers.”
RECOVER’s EHR cohort will be a collaboration across all eight Clinical Research Networks participating in PCORnet, representing 41 institutions across the United States. PCORnet Network Partners provide an unprecedented breadth and depth of real-world data, nationally renowned investigators including informaticians, clinicians, and learning health system experts, and a robust track record for large-scale observational research, comparative effectiveness studies, surveys, and pragmatic clinical trials. RECOVER will use these resources to rapidly generate evidence around long COVID in both adults and children.
Delivering long-awaited answers to long-haul COVID
The EHR cohorts will contribute to the RECOVER Initiative in several meaningful ways, including the creation of new phenotypes, or sets of identifiable characteristics, for long COVID.
One of the most exciting features of RECOVER is that it will use its EHR cohorts to develop models and algorithms that can effectively predict who is at risk of long-haul COVID, answering a question that has puzzled researchers since the pandemic began. These models will also help RECOVER researchers examine disparities between different populations and will further help to illustrate the effects of vaccines on long COVID.
“National-scale research networks like PCORnet have been absolutely essential in helping us get answers through the pandemic, and I’m excited to see the insights RECOVER will contribute to that body of knowledge,” said Bailey. “To patients living with debilitating COVID-19 symptoms for months or years need hope: We see you, and RECOVER is going to relentlessly pursue the answers you’ve long been awaiting.”