Approximately 10% to 20% of individuals with previous SARS-CoV-2 infection may develop long-COVID syndrome, characterized by various physical and mental health issues, including pain. Previous studies suggested an association between small fibre neuropathy and pain in long-COVID cases. In this case-control study, our aim was to identify small fibre neuropathy in patients experiencing painful long-COVID syndrome. Clinical data, quantitative sensory testing, and skin biopsies were collected from 26 selected patients with painful long-COVID syndrome. We also examined 100 individuals with past COVID-19 infection, selecting 33 patients with painless long-COVID syndrome, characterized mainly by symptoms such as brain fog and fatigue, and 30 asymptomatic post-COVID-19 controls. Demographic and clinical variables were compared among these groups. Among the 26 patients with painful long-COVID syndrome, 12 had skin biopsy and/or quantitative sensory testing abnormalities compatible with small fibre neuropathy. Demographic and clinical data did not differ across patients with small fibre neuropathy, patients with painless long-COVID syndrome, and asymptomatic post-COVID-19 controls. This case-control study showed that approximately 50% of patients experiencing painful long-COVID syndrome had small fibre neuropathy. However, in our patient cohort, this specific post-COVID-19 complication was unrelated to demographic and COVID-19 clinical variables. Approximately half of our sample of patients with painful long-COVID symptoms met diagnostic criteria for small fibre neuropathy.

Small fibre neuropathy frequently underlies the painful long-COVID syndrome / Falco, Pietro; Litewczuk, Daniel; Di Stefano, Giulia; Galosi, Eleonora; Leone, Caterina; De Stefano, Gianfranco; Di Pietro, Giuseppe; Tramontana, Lorenzo; Ciardi, Maria Rosa; Pasculli, Patrizia; Zingaropoli, Maria Antonella; Arendt-Nielsen, Lars; Truini, Andrea. - In: PAIN. - ISSN 0304-3959. - (2024), pp. 1-9. [10.1097/j.pain.0000000000003259]

Small fibre neuropathy frequently underlies the painful long-COVID syndrome

Falco, Pietro;Litewczuk, Daniel;Di Stefano, Giulia;Galosi, Eleonora;De Stefano, Gianfranco;Tramontana, Lorenzo;Ciardi, Maria Rosa;Pasculli, Patrizia;Zingaropoli, Maria Antonella;Truini, Andrea
2024

Abstract

Approximately 10% to 20% of individuals with previous SARS-CoV-2 infection may develop long-COVID syndrome, characterized by various physical and mental health issues, including pain. Previous studies suggested an association between small fibre neuropathy and pain in long-COVID cases. In this case-control study, our aim was to identify small fibre neuropathy in patients experiencing painful long-COVID syndrome. Clinical data, quantitative sensory testing, and skin biopsies were collected from 26 selected patients with painful long-COVID syndrome. We also examined 100 individuals with past COVID-19 infection, selecting 33 patients with painless long-COVID syndrome, characterized mainly by symptoms such as brain fog and fatigue, and 30 asymptomatic post-COVID-19 controls. Demographic and clinical variables were compared among these groups. Among the 26 patients with painful long-COVID syndrome, 12 had skin biopsy and/or quantitative sensory testing abnormalities compatible with small fibre neuropathy. Demographic and clinical data did not differ across patients with small fibre neuropathy, patients with painless long-COVID syndrome, and asymptomatic post-COVID-19 controls. This case-control study showed that approximately 50% of patients experiencing painful long-COVID syndrome had small fibre neuropathy. However, in our patient cohort, this specific post-COVID-19 complication was unrelated to demographic and COVID-19 clinical variables. Approximately half of our sample of patients with painful long-COVID symptoms met diagnostic criteria for small fibre neuropathy.
2024
neuropathy; sars-cov-2; long-covid
01 Pubblicazione su rivista::01a Articolo in rivista
Small fibre neuropathy frequently underlies the painful long-COVID syndrome / Falco, Pietro; Litewczuk, Daniel; Di Stefano, Giulia; Galosi, Eleonora; Leone, Caterina; De Stefano, Gianfranco; Di Pietro, Giuseppe; Tramontana, Lorenzo; Ciardi, Maria Rosa; Pasculli, Patrizia; Zingaropoli, Maria Antonella; Arendt-Nielsen, Lars; Truini, Andrea. - In: PAIN. - ISSN 0304-3959. - (2024), pp. 1-9. [10.1097/j.pain.0000000000003259]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1710995
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