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Study Unexpectedly Finds Only 7 Health Symptoms Directly Related To ‘Long COVID’ | NEWS-Line for Pharmacists

Study Unexpectedly Finds Only 7 Health Symptoms Directly Related To ‘Long COVID’


In a new study, a team of University of Missouri researchers made an unexpected discovery: People experiencing long-lasting effects from COVID-19 — known as “long COVID” or post-COVID conditions — are susceptible to developing only seven health symptoms for up to a year following the infection. They are: fast-beating heart, hair loss, fatigue, chest pain, shortness of breath, joint pain and obesity.

To develop their findings, the team reviewed Oracle Cerner real-world data from electronic medical records containing de-identified information for medical research purposes. After examining data from a total of 52,461 patients at 122 healthcare facilities across the United States, the researchers selected the top 47 most commonly reported health symptoms from long COVID to examine for this study.

Then, the researchers looked for any comparisons in the reported health symptoms — many also shared by other viral respiratory infections — among people in three different subgroups:

People diagnosed with COVID-19 but do not have any common viral respiratory infections like influenza or pneumonia

People with common viral respiratory infections but do not have COVID-19

People who do not have COVID-19 or any other common viral respiratory infections.

“Despite an overwhelming number of long COVID symptoms previously reported by other studies, we only found a few symptoms specifically related to an infection from SARS-CoV-2, the virus that causes COVID-19,” said Chi-Ren Shyu, director of the MU Institute for Data Science and Informatics and the corresponding author of the study. “Before we examined the data, I thought we would find an ample amount of the symptoms to be specifically associated with long COVID, but that wasn’t the case.”

Shyu, who is also the Paul K. and Dianne Shumaker Professor in the Department of Electrical Engineering and Computer Science at the MU College of Engineering, said the results could benefit ongoing efforts by fellow researchers to study various impacts of COVID-19.

“Now, researchers will be able to better understand how SARS-CoV-2 may mutate or evolve by creating new connections that we may not have known about before,” Shyu said. “Going forward we can use electronic medical records to quickly detect subgroups of patients who may have these long-term health conditions.”

Adnan Qureshi, a professor of neurology in the MU School of Medicine, doctor of neurology with MU Health Care and co-author of the study, said the findings will provide health care providers with much-needed information about what to ask and look for when visiting with a patient who has symptoms of long COVID.

Qureshi said the study’s results could also benefit researchers examining other aspects of COVID-19, such as the impact of the virus on the brain or the immune system. He said the concept of long COVID was developed after clinicians started noticing a group of people who were dubbed “survivors” of COVID-19 were “not necessarily normal anymore.”

“The survivors still have symptoms that are at times disabling and preventing them from going back to work or the activities of their daily life,” Qureshi said. “This is not because the COVID-19 infection is still active, but instead the infection has caused long-term consequences, or sequelae, in the form of a post-COVID syndrome that could persist for months or even years. Our research was able to identify long-term sequelae that are distinctive to COVID-19 and separate the post-COVID syndrome from other post-viral syndromes.”

“COVID-specific long-term sequelae in comparison to common viral respiratory infections: an analysis of 17,487 infected adult patients,” was published in the journal Open Forum Infectious Diseases. Other co-authors were Jane Armer and William Baskett at MU, and Daniel Shyu at University of Minnesota. The study was supported by a grant from the National Institutes of Health (5T32LM012410). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funding agencies.

Source: University of Missouri

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