Frontiers in Neurology (Oct 2022)

Characterization of autonomic symptom burden in long COVID: A global survey of 2,314 adults

  • Nicholas W. Larsen,
  • Lauren E. Stiles,
  • Lauren E. Stiles,
  • Ruba Shaik,
  • Logan Schneider,
  • Srikanth Muppidi,
  • Cheuk To Tsui,
  • Linda N. Geng,
  • Hector Bonilla,
  • Mitchell G. Miglis,
  • Mitchell G. Miglis

DOI
https://doi.org/10.3389/fneur.2022.1012668
Journal volume & issue
Vol. 13

Abstract

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BackgroundAutonomic dysfunction is a known complication of post-acute sequelae of SARS-CoV-2 (PASC)/long COVID, however prevalence and severity are unknown.ObjectiveTo assess the frequency, severity, and risk factors of autonomic dysfunction in PASC, and to determine whether severity of acute SARS-CoV-2 infection is associated with severity of autonomic dysfunction.DesignCross-sectional online survey of adults with PASC recruited through long COVID support groups between October 2020 and August 2021.Participants2,413 adults ages 18–64 years with PASC including patients who had a confirmed positive test for COVID-19 (test-confirmed) and participants who were diagnosed with COVID-19 based on clinical symptoms alone.Main measuresThe main outcome measure was the Composite Autonomic Symptom 31 (COMPASS-31) total score, used to assess global autonomic dysfunction. Test-confirmed hospitalized vs. test-confirmed non-hospitalized participants were compared to determine if the severity of acute SARS-CoV-2 infection was associated with the severity autonomic dysfunction.Key resultsSixty-six percent of PASC patients had a COMPASS-31 score >20, suggestive of moderate to severe autonomic dysfunction. COMPASS-31 scores did not differ between test-confirmed hospitalized and test-confirmed non-hospitalized participants [28.95 (15.62, 46.60) vs. 26.4 (13.75, 42.10); p = 0.06].ConclusionsEvidence of moderate to severe autonomic dysfunction was seen in 66% of PASC patients in our study, independent of hospitalization status, suggesting that autonomic dysfunction is highly prevalent in the PASC population and independent of the severity of acute COVID-19 illness.

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