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Sharing our progress toward recovery

Research Summaries

Discover what the latest science from the RECOVER Initiative means for our ability to understand, diagnose, prevent, and treat Long COVID.

This page contains descriptions of findings from RECOVER research studies. These descriptions use plain language and a format that is easy to understand.

If you want to learn more about the scientific discoveries described here, you can also browse and search the complete list of RECOVER Publications.

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43 Results

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Short Summary
EHR Adult

Powers, JP; McIntee, TJ; Bhatia, A; et al., Communications Medicine

This RECOVER study looked at the similarities and differences between Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) in electronic health records (EHRs). Both illnesses can make people feel exhausted for long periods of time. Researchers studied the EHRs of 6.5 million adults and found some similarities between people who had diagnoses of either Long COVID or ME/CFS. Problems like trouble breathing, feeling very tired, and difficulty focusing were seen in the EHRs of both people with Long COVID diagnoses and those with ME/CFS diagnoses. But there were also some differences. People with a diagnosis of Long COVID were more likely to have problems with their heart and lungs in their EHRs. People with a diagnosis of ME/CFS were more likely to have pain, trouble sleeping, and problems with mood or thinking in their EHRs. Researchers looked at the symptoms listed in people’s EHRs, regardless of diagnosis. They found that about half the people with symptoms that looked like Long COVID also had symptoms that looked like ME/CFS. This research is important because Long COVID and ME/CFS can look similar. That means people with either illness may benefit from some of the same treatments.

Short Summary
EHR Pediatric

Lorman, V; Bailey, LC; Song, X; et al., PLOS Digital Health

This RECOVER study aimed to better understand how Long COVID affects kids in different ways. Researchers looked at the electronic health records (EHRs) of pediatric patients under the age of 21 who had signs of Long COVID. The study focused on children who were generally healthy and did not have serious long-term health problems before they got sick with COVID-19. Researchers used a special computer method to look for patterns of symptoms in children’s EHRs. This helped them find groups of kids who had similar health problems after having COVID-19, meaning that they had similar experiences with Long COVID. They found that more than half of the children in the study had heart, lung, and breathing problems related to Long COVID. Other common symptoms included muscle and joint pain, mood and thinking problems, stomach issues, headaches, and feeling tired. These findings give researchers a clearer picture of how Long COVID shows up in kids, which can guide future studies.

Short Summary
EHR Pregnant Women

Zang, C; Guth, D; Bruno, AM; et al., Nature Communications

This RECOVER study looked at whether pregnancy made it more or less likely to get Long COVID. Researchers compared the electronic health records (EHRs) of pregnant women who had COVID-19 during pregnancy to those of non-pregnant women of the same age who also had COVID-19. They found that even though many pregnant women got Long COVID, they were less likely to get it than non-pregnant women their age who had COVID-19. But, certain risk factors increased the chances of Long COVID among pregnant women. These included identifying as Black, being age 35 or older, having COVID-19 earlier in pregnancy, being overweight, and having other health conditions. This study shows that even though many pregnant women have Long COVID, they are less likely to get it than women who are not pregnant.

Short Summary
EHR Adult Pediatric Pregnant Women

Mandel, HL; Shah, SN; Bailey, LC; et al., Journal of Medical Internet Research

This RECOVER report looked at how using electronic health records (EHRs) to study Long COVID can be both helpful and challenging. EHRs are digital records with a patient’s health information. One good thing about using EHRs is that researchers can use computer programs to find people who might have Long COVID based on their symptoms. This can help researchers figure out what might increase the risk of getting Long COVID, like age and other health problems. EHRs also provide quick access to health records from many patients, which speeds up Long COVID research. A main problem with studying EHRs is that the information in them is not always complete or consistent because different medical providers enter it in different ways. This makes it harder for researchers to find patterns or other details they need to better understand Long COVID. Even with these challenges, the researchers explain that looking at EHRs can still help us better understand Long COVID and improve the lives of people with Long COVID.

Short Summary
EHR Pediatric Broad Symptoms

Zhang, D; Stein, R; Lu, Y; et al.; Researching COVID to Enhance Recovery (RECOVER) Initiative, JAMA Network Open

This RECOVER study looked at whether children and teens who had COVID-19 were more likely to have stomach problems later. To do this, researchers compared electronic health record (EHR) data from over 1.5 million US children and teens who had COVID-19 with those who didn’t. The study found that kids who had COVID-19 were 25% more likely to have stomach issues, like belly pain, even after recovering from COVID-19. Specifically, 8.64% of kids who had COVID-19 experienced new stomach problems within a few months of having COVID-19 while only 6.85% of kids who didn’t have COVID-19 had stomach problems. This was true not only a few months after getting COVID-19 but also up to 2 years later. Doctors should be aware that kids who had COVID-19 might have more stomach problems. Knowing this can help doctors check for symptoms early and provide the right care.

Short Summary
EHR Pediatric Health Disparities Risk Factors

Rao, S; Azuero-Dajud, R; Lorman, V; et al.; RECOVER EHR and RECOVER Pediatric Cohorts, eClinicalMedicine

This RECOVER study looked at whether some children were more likely to have long-term breathing or brain/nerve problems after having COVID-19. Researchers studied the electronic health records (EHRs) of 771,725 pediatric patients under the age of 21 across the US. They found that children under 5 years of age and Hispanic White children had a higher chance of having breathing problems linked to Long COVID. This was also true if they lived in low-income areas or had other breathing problems before getting COVID-19. Children ages 12–17 years old and non-Hispanic White children were more likely to have brain and nerve problems related to Long COVID, especially if they already had other problems related to the brain and nerves. These findings show that race and ethnicity may affect how children experience Long COVID. Factors like where children live and how easy it is for them to get healthcare could play a role in these differences. This research shows why it’s important to understand these factors, so all children can get the care they need after having COVID-19.

Short Summary
EHR Pediatric Health Disparities Risk Factors

Zhang, D; Zhang, B; Wu, Q; et al., Nature Communications

This RECOVER study looked at how a child’s race or ethnicity might affect their chances of developing long-term health problems after getting COVID-19. Researchers studied data from 225,723 children and teens across 13 US hospitals and clinics from March 2020 to October 2022. They compared children who were diagnosed with COVID-19 or had a positive COVID-19 test to those who never tested positive. The study found that children with COVID-19 were more likely to develop many health problems weeks or months after getting COVID-19 than those who never had it. These problems included trouble breathing, feeling very tired (fatigue), and mental health problems.

Researchers also found that the chance of having these problems was different depending on a child's race or ethnicity. For example, Hispanic children with severe COVID-19 were more likely to have hair loss after getting sick than Non-Hispanic White children with severe cases. Non-Hispanic Black children with less severe COVID-19 were more likely to experience cognitive symptoms (related to thinking, memory, or concentration) than Non-Hispanic White children with less severe COVID-19. In children with less severe COVID-19, Asian American/Pacific Islander children were more likely to have more fever, chills, and respiratory symptoms (related to breathing) than Non-Hispanic White children. This study shows that long-term health problems in children and teens after COVID-19 may be different between racial and ethnic groups. This can help doctors better understand and treat Long COVID in people who are more likely to get it.

Short Summary
EHR Pediatric Vaccination

Wu, Q; Zhang, B; Tong, J; et al.; RECOVER Consortium, eClinicalMedicine

This RECOVER study looked at how well the Pfizer COVID-19 vaccine, called BNT162b2, protected children and teens from long-term health problems after having COVID-19, also known as Long COVID. Researchers studied the electronic health records (EHRs) from more than 385,000 children and adolescents across 13 hospitals and clinics during the Delta and Omicron waves. In the Delta wave, researchers studied the EHRs of 112,590 adolescents ages 12 to 20. Of these, 88,811 adolescents were vaccinated before getting COVID-19. In the Omicron wave, they studied the EHRs of 188,894 children ages 5 to 11 years old, and 84,735 adolescents ages 12 to 20. Of these, 101,277 children, and 37,724 adolescents were vaccinated before getting COVID-19. In the Delta period, the researchers found that vaccinated adolescents were 95% less likely to develop Long COVID. In the Omicron period, the vaccine lowered the risk of Long COVID by 60% in children and 75% in adolescents. The study also showed that the vaccine’s main benefit in preventing Long COVID in children and adolescents came from preventing them from getting COVID-19 in the first place.

Short Summary
EHR Adult

Tong, J; Li, L; Reps, JM; et al., Statistics in Medicine

This RECOVER study focused on a problem that happens when scientists study rare events. When scientists have very few cases of rare events to study, the usual ways of studying data can give misleading results. One way to fix this is to combine data from many hospitals or clinics so there are more cases to study. But, sharing detailed patient information raises concerns about privacy, so patient privacy must be protected when combining data from multiple healthcare centers.

In this study, RECOVER researchers created a new tool called ODAP-B, which combines information more accurately without sharing patient details. This is because it only needs a summary of patient data, not full health records. By using ODAP-B, researchers can better understand what increases the chance of a rare event happening while protecting patient privacy.

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