Long COVID Linked to Lasting Airways Disease

Disease of the small airways in the lungs is a potential long-lasting effect of COVID-19, according to a new study. The study found that small airways disease occurred independently of initial infection severity. The long-term consequences are unknown.

“There is some disease happening in the small airways independent of the severity of COVID-19,” said study senior author Alejandro P. Comellas, M.D.

Early reports indicate that more than 50% of adult survivors of SARS-CoV-2 infection experience post-acute sequelae of COVID-19 (PASC), more commonly known as “long COVID.” Respiratory symptoms, including cough and dyspnea, are reported by nearly 30% of patients with long COVID, including those who experienced mild infection.

The study grew out of observations from University of Iowa clinicians that many patients with initial SARS-CoV-2 infection who were either hospitalized or treated in the ambulatory setting later showed signs of chronic lung disease such as shortness of breath and other respiratory symptoms.

Dr. Comellas and colleagues put a protocol in place to perform both inspiratory and expiratory CT in these patients.

Inspiratory CT, performed after patients inhale, is the standard imaging technique for viewing lung tissue, but post-exhalation expiratory scans are needed to assess air trapping, a condition in which people are not able to empty their lungs when they breathe out.

Air trapping is found in many obstructive airway diseases, such as asthma and chronic obstructive pulmonary disease (COPD).

For the study, the researchers compared CT findings in people who had COVID-19 and persistent symptoms with those of a healthy control group.

The researchers detected air trapping on expiratory chest CT images in the COVID-19 group.

The mean percentage of total lung affected by air trapping ranged from slightly more than 25% in the ambulatory group to almost 35% in the hospitalized group, compared with only 7.2% in healthy controls.

Air trapping persisted in eight of the nine participants who underwent imaging more than 200 days after diagnosis.

These imaging results show a high prevalence of long-lasting air trapping, regardless of the initial severity of infection.

Quantitative analysis of expiratory chest CT images, performed with the help of a sophisticated type of artificial intelligence known as supervised machine learning, showed evidence of small airways disease.

While small airways disease is not fully understood, evidence suggests it may be related to either inflammation or remodeling of the small airways that prevents air from being able to be exhaled from the lungs.

“For the first time, we’re describing small airways disease in this population of COVID-19 patients with persistent symptoms,” Dr. Comellas said.

“Something is going on in the distal airways related to either inflammation or fibrosis that is giving us a signal of air trapping.”

“If a portion of patients continues to have small airways disease, then we need to think about the mechanisms behind it,” he said. “It could be something related to inflammation that’s reversible, or it may be something related to a scar that is irreversible, and then we need to look at ways to prevent further progression of the disease.”


Sources:

Josalyn L. Cho, Raul Villacreses, Prashant Nagpal, Junfeng Guo, Alejandro A. Pezzulo, Andrew L. Thurman, Nabeel Y. Hamzeh, Robert J. Blount, Spyridon Fortis, Eric A. Hoffman, Joseph Zabner, Alejandro P. Comellas. Quantitative Chest CT Assessment of Small Airways Disease in Post-Acute SARS-CoV-2 Infection. Radiology, 2022; DOI: 10.1148/radiol.212170

Brett M. Elicker. What Are the Long-term Pulmonary Sequelae of COVID-19 Infection? Radiology, 2022; DOI: 10.1148/radiol.220449

Materials provided by Radiological Society of North America. Note: Content may be edited for style and length.

Radiological Society of North America. “‘Long COVID’ linked to lasting airways disease.” ScienceDaily. ScienceDaily, 15 March 2022. <www.sciencedaily.com/releases/2022/03/220315105608.htm>.

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