Research Summaries

In this RECOVER study, researchers created a new computer tool to help doctors identify Long COVID more quickly and accurately. The tool, called a hybrid natural language processing (NLP) pipeline, quickly scans patients’ electronic health records (EHRs) to find descriptions of symptoms and figure out if a patient has them. Researchers tested this tool across 11 US health systems and found it was very accurate at identifying the right Long COVID symptoms. Patient EHRs contain a lot of important information, but it can take a long time to find specific symptoms across thousands of records. Researchers can now look at large amounts of health records from thousands of patients at once using the hybrid NLP pipeline technology. This study is important because it gives researchers a faster, more accurate way to identify Long COVID.

In this RECOVER study, researchers wanted to update a smart computer program, called a machine learning pipeline, to better identify people with Long COVID. In 2021, the first version of the program, called LCM 1, was created to identify people with or likely to have Long COVID. LCM 1 depended on people having a COVID-19 diagnosis date in their electronic health records (EHR). This meant LCM 1 could miss people who may have taken a COVID-19 test at home. LCM 1 also did not look at information about whether people got COVID-19 more than once. To improve the program and create a new version called LCM 2, researchers used more than 5 million EHRs from a large set of data called the National COVID Cohort Collaborative (N3C). They taught the program to look at a person’s health information over many years, not just starting from their first recorded COVID-19 diagnosis. Researchers found that LCM 2 was very accurate. They used it to estimate that about 1 in 10 people in the database who had COVID-19 went on to develop Long COVID. This study is important because it shows that older machine learning models, like LCM 1, can be updated to keep up with the way an illness is tracked and diagnosed over time. This can help other researchers improve their machine learning models to produce more accurate findings.

This RECOVER study looked at how social determinants of health (SDoH) affect the risk of developing Long COVID after getting COVID-19. SDoH are the living and working conditions that affect a person’s health, such as how safe a neighborhood is, access to education, and how easy it is to get healthcare. Between October 2021 and November 2023, RECOVER researchers studied adults from 33 states, Washington, DC, and Puerto Rico who recently had COVID-19. These adults filled out surveys about their social situations, health conditions, and pregnancy status. The researchers followed them for 6 months to see who developed symptoms of Long COVID. They looked at SDoH including money problems, not having enough food, level of education, problems getting health care, having friends or family for support, and where someone lives. Out of 3,787 participants, 418 people (about 11%) developed Long COVID. Researchers found that people with money problems, not enough food, less education, trouble getting healthcare, and little social support had a higher risk of experiencing Long COVID. The researchers suggest that future studies explore whether addressing SDoH-related needs can help lower the chance of developing long-term effects of COVID-19.

In this RECOVER study, researchers wanted to find out whether children (ages 5–12) and teenagers (ages 12–20) who had COVID-19 were more likely to develop mental health conditions than those who never had COVID-19. Researchers studied the electronic health records (EHRs) of more than 1 million children and teenagers to see what mental health conditions they were diagnosed with after getting COVID-19. They found that children who had COVID-19 were more likely to be diagnosed with anxiety, obsessive-compulsive disorder (OCD), attention-deficit/hyperactivity disorder (ADHD), and autism. The researchers also found that teenagers who had COVID-19 had a higher risk of experiencing anxiety, depression, and thoughts of suicide. This study is important because it suggests that getting COVID-19 can increase the chance that young people will experience mental health conditions. Caregivers and doctors must recognize the risk of mental health conditions developing after COVID-19 to help young people get the treatment and support they need.

This RECOVER study explored how the experiences of people who have had COVID-19, their caregivers, and community members can make sure patients’ voices are heard in Long COVID research. In the RECOVER Initiative, these people are called Representatives. RECOVER created a system called Representative Authorship to let Representatives join writing groups and contribute to writing scientific papers about RECOVER research. Representatives’ experiences help researchers focus on what matters most to patients, make findings easier to understand, and connect the research to real-world care. In this study, researchers surveyed RECOVER Representatives about what worked well and what could be improved in the Representative Authorship system. They found that most Representatives had positive experiences and felt that they were matched with the right scientific papers based on their background and experiences. Representatives stated that having different points of view can keep research meaningful for doctors treating patients with Long COVID. The survey also highlighted areas to improve. When including Representatives in manuscripts, researchers should communicate clearly, train new authors, and make sure that people are paid fairly for their time. The RECOVER Initiative learned that by considering the viewpoints of Representatives, they can improve their writing system and write papers that reflect the needs and experiences of the larger Long COVID community.

This RECOVER study looked at how common Long COVID is in adults and children across the US. Researchers compared people who had COVID-19 to those who didn’t. They used data from 3 nationwide research networks that collect electronic health records (EHRs). Since there is no single definition for Long COVID yet, each network created its own working definition. These were based on earlier studies and symptoms that are commonly seen in people with Long COVID. Researchers then checked how many people had those symptoms between 1 and 6 months after having COVID-19. Findings were generally similar across the 3 networks. They found that about 4 out of every 100 children, and between 10 and 26 out of every 100 adults, developed Long COVID, depending on the definition of Long COVID used. The rates of Long COVID also changed over time, likely linked to new versions of the virus. Understanding how common Long COVID is and how this changes over time can help researchers learn who is most likely to get Long COVID.

This RECOVER study looked at the link between COVID-19 severity (how mild or serious the illness was) and the chance of developing an autoimmune disease. COVID-19 severity ranged from no symptoms to being in the hospital and needing a breathing machine. The study also looked at which types of autoimmune diseases were most common after having COVID-19. Autoimmune diseases happen when the body’s immune system attacks its own healthy cells by mistake. Researchers used electronic health records (EHRs) from 3 nationwide research networks to study people who had COVID-19 between April 2020 and April 2021. They found that the most common autoimmune diseases in both children and adults after having COVID-19 were thyroid disease, a skin condition called psoriasis, and a gut problem called inflammatory bowel disease. In adults, inflammatory arthritis and Sjögren’s disease (an autoimmune disease that causes dry eyes, dry mouth, and joint pain) were also common. In children, Type 1 diabetes and autoimmune diseases involving blood were also found. The study's main finding was that people who were more severely ill from COVID-19 had a higher chance of developing an autoimmune disease than those who were less sick. This means that people with more severe illness likely had stronger immune reactions to COVID-19. This study shows a strong relationship between having severe COVID-19 and developing an autoimmune disease after getting COVID-19.

This paper builds on an earlier RECOVER study about Long COVID symptoms in school-age children (ages 6 to 11 years old) and teenagers (ages 12 to 17 years old). In this study, RECOVER researchers focused on two younger age groups that they did not study before, including infants and toddlers (ages 0 to 2 years old) and preschool-age children (ages 3 to 5 years old). The study compared symptoms in children who had COVID-19 in the past with those who never had it. Researchers created new tools to help figure out which young children were most likely to have Long COVID based on their age group and symptom patterns. The symptoms that were most likely to be signs of Long COVID in infants and toddlers were poor appetite for a long period of time, trouble sleeping, coughing, and stuffy nose. For preschool-age children, the most likely signs were daytime tiredness, sleepiness or low energy, and coughing. Children with these symptoms often had worse overall health, lower quality of life, and delays in development. The tools from this study can be used in future studies to better understand Long COVID in young children and develop ways to care for them. This study is important because it shows that Long COVID symptoms in young children are different from those in older children and adults.

This RECOVER study looked at how COVID-19 can impact people’s physical abilities. Researchers looked at 3 groups of adults in the RECOVER study: people who never had COVID-19, people who had COVID-19 in the last 3 months, and people who had COVID-19 more than 3 months ago. They wanted to know if people who had COVID-19 were more likely to have trouble with daily activities like walking, climbing stairs, or getting in and out of a chair compared to those who never had COVID-19. To measure physical ability, participants were asked to sit in a chair and stand up as many times as they could in 30 seconds. This study didn't find big differences in physical abilities between the groups, but those who had severe COVID-19 and long-lasting symptoms faced more challenges. This study is important because the findings show that COVID-19 may have long-term impacts on physical function.