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Research Summaries

Discover what the latest science from RECOVER 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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In this RECOVER study, researchers looked at whether children who received steroids soon after getting COVID-19 were less likely to develop Long COVID. Steroids are medicines that help with inflammation (swelling and irritation) in the body. Researchers reviewed the electronic health records (EHRs) of more than 850,000 children under 19 years old who had a positive COVID-19 test, a COVID-19 diagnosis, or received antiviral medicines for COVID-19 between March 2020 and April 2024. Researchers then compared children who received steroids within 12 days of getting COVID-19 to those who did not. They also looked at children who were hospitalized and children who were treated at home. Researchers found that steroid use was not linked to a lower risk of developing Long COVID. However, children who were not hospitalized with COVID-19 and took steroids had a lower risk of experiencing stomach problems associated with Long COVID. This study is important because it shows that early steroid use was not linked to a lower risk of Long COVID in children. More research is needed to understand which treatments may help prevent long-term symptoms from developing in children who get COVID-19.


In this RECOVER study, researchers looked at the relationship between a young person’s weight and their health after getting COVID-19. Researchers reviewed the electronic health records (EHRs) of over 139,000 children and young adults, ages 5–20 years, across the US. They grouped participants based on their body mass index (BMI). BMI is a number that helps show whether someone is at a healthy weight, is overweight, has obesity, or has severe obesity based on their height and weight. The researchers checked if any new health problems were added to participants’ EHRs between 1 and 6 months after getting COVID-19. The study found that children and young adults with severe obesity were much more likely to develop health problems after getting COVID-19. These included problems related to the heart, like high blood pressure, and stomach problems, like diarrhea and heartburn. The researchers also checked whether participants had mental health issues after getting COVID-19. Those results were less clear and may have been due to other factors. This study is important because it shows that doctors should be thinking about the weight of children and young adults affected by COVID-19. If a child is overweight or has obesity and gets COVID-19, doctors should monitor their heart and stomach health to make sure they receive the care they need. 


This RECOVER study looked at whether COVID-19 was linked to a higher risk for dyslipidemia (unusual levels of fats or cholesterol in the blood) or a high body mass index (BMI) in children and young adults. BMI is a number that helps show if someone's weight is in the healthy range for their height. A higher BMI can be a sign that a person may be overweight or have obesity. Researchers looked at the electronic health records (EHRs) of over one million children and young adults, from birth to age 21, across 25 different children’s hospitals in the US. Researchers followed the health of children and young adults for up to 6 months after they got COVID-19 for the first time and compared them to a group of children and young adults who did not get COVID-19. Researchers found that children and young adults who got COVID-19 were about 24% more likely to develop dyslipidemia and 15% more likely to develop a high or unhealthy BMI than those who never had COVID-19. These findings are important because they show that COVID-19 may be linked to a higher risk of health problems related to blood fats and weight. These findings also highlight the need for closer follow-up of children and young adults during their recovery from COVID-19.  


Short Summary
EHR Adult

Hawkins, KL; Dandachi, D; Verzani, Z; et al., Clinical Infectious Diseases

This RECOVER study looked at whether people with Human Immunodeficiency Virus (HIV) are more likely to get Long COVID after having COVID-19. HIV is a virus that attacks the body’s immune system. Researchers used electronic health records (EHRs) from 2 nationwide research networks of people ages 21 and older who had COVID-19. They divided them into 2 groups: people with HIV and people without HIV. Researchers used 2 methods to find people in the groups who might have Long COVID. One used a computer system that looked for Long COVID symptoms in medical records. The other looked for official diagnosis codes that doctors enter when they think someone has Long COVID. They found that people with HIV may have a slightly higher risk of being diagnosed with Long COVID when looking for Long COVID symptoms in medical records. However, they found that there was no clear link between having HIV and receiving the official diagnosis code for Long COVID. This suggests that Long COVID may be missed in people with long-term health problems like HIV.


Short Summary
EHR Adult

Vekaria, V; Thiruvalluru, RK; Verzani, Z; et al., JAMA Network Open

In this RECOVER study, researchers wanted to find out if adults with a serious mental illness (SMI)—like major depression, schizophrenia, or bipolar disorder—were more likely to develop Long COVID. To do this, researchers looked at the electronic health records (EHRs) of more than 1.6 million adults across the US. They found that adults with an SMI had a higher chance of developing Long COVID than adults without an SMI. This may be because SMIs can cause stress and problems with a person’s immune system, which could make them more likely to develop long-lasting symptoms after having COVID-19. Among adults with an SMI, higher rates of Long COVID were seen in older people, non-Hispanic Black and Hispanic people, people with public health insurance, people with other long-term illnesses like heart disease or diabetes, and people who were hospitalized after they got COVID-19 for the first time. This study is important because it shows that healthcare teams should look at SMIs in addition to other risk factors to help prevent and treat Long COVID.


Short Summary
EHR Pediatric

Botdorf, M; Dickinson, K; Lorman, V; et al., Applied Clinical Informatics

This RECOVER study tested a new way to identify Long COVID in children. Researchers created a special computer-based tool, called a computable phenotype (CP), that scans electronic health records (EHRs) for specific codes and symptoms linked to Long COVID. To test the CP, researchers scanned records for nearly 340,000 children who had COVID-19. Doctors then checked a smaller group of 651 children’s records to see how well it worked. The study showed that the CP was able to successfully find that a child had Long COVID. But it sometimes marked symptoms that fit in with health problems someone had before getting COVID-19 (pre-existing conditions), so it wasn’t clear if those symptoms were due to COVID-19. When the researchers updated the CP to pay closer attention to pre-existing conditions, it became more accurate at identifying Long COVID from EHRs. This study is important because it provides a faster and more consistent way for researchers to identify Long COVID in large groups of children. This tool can help doctors give better care to children with Long COVID.


In this RECOVER study, researchers wanted to find out if natural language processing (NLP) could be used to identify Long COVID symptoms in children. NLP is a tool that can help find details in electronic health records (EHRs) beyond what is usually looked at in EHRs, such as diagnosis or billing codes (known as standard EHR data). Researchers used an NLP tool to look for 25 signs of Long COVID in children: 21 symptoms (like pain or extreme tiredness) and 4 types of daily life challenges (such as trouble with school). They compared children who had been diagnosed with Long COVID to those who had COVID-19 but did not develop Long COVID. The NLP tool analyzed more than 48,000 doctors’ notes within the EHRs of more than 10,000 children across 12 hospitals. Researchers found that the NLP tool identified almost all 25 symptoms much more often in the children who had Long COVID. The NLP tool also often identified patients’ symptoms that were not recognized when researchers only looked at standard EHR data. The study shows that using NLP to read EHR notes can help researchers better understand the symptoms and daily challenges that children with Long COVID experience when compared to looking only at codes and medication lists. This supports the idea that NLP should be used when doing scientific studies that need to identify children with Long COVID.


Short Summary
EHR Adult

Anzalone, AJ; Krichevsky, S; Yoo, YJ; et al., Clinical Journal of the American Society of Nephrology

In this RECOVER study, researchers wanted to understand the connection between Long COVID and chronic kidney disease (CKD) in adults who had COVID-19. CKD is long-term, permanent damage to the kidneys. Researchers looked at the electronic health records (EHRs) of more than 2 million adults across 59 health systems in the US to see if people with CKD were more likely to develop Long COVID. The study found that, compared to people without CKD, those who had even mild cases of CKD were more likely to get Long COVID after COVID-19. Researchers also found that, compared to adults who did not get Long COVID, those who developed Long COVID and had healthy kidneys before getting COVID-19 were more likely to develop new CKD or have worsened kidney function within a year. These findings show how Long COVID and kidney disease can affect each other and highlight how important it is for doctors to monitor people’s kidney health after they get COVID-19.


In this RECOVER study, researchers looked at whether getting COVID-19 a second time increases a child’s or teenager’s risk of developing Long COVID. Researchers compared the electronic health records (EHRs) of more than 400,000 children and teens who had COVID-19 once with the EHRs of about 58,000 children and teens who had COVID-19 twice during the Omicron period. They found that children and teens who had COVID-19 twice were two times more likely to be diagnosed with Long COVID compared to those who only had it once. Children and teens who got COVID-19 twice also experienced other health problems more often, like being very tired, headaches, stomach pain, and heart or kidney problems. This study is important because it shows that children and teens are much more likely to develop Long COVID after getting COVID-19 more than once. These findings show why it is important to continue learning about ways to protect children and teens from getting COVID-19.