Objective: COVID-19 (SARS-CoV-2) has been associated with neurological sequelae even in those patients with mild respiratory symptoms. Patients experiencing cognitive symptoms such as "brain fog" and other neurologic sequelae for 8 or more weeks define "long haulers". There is limited information regarding damage to grey matter (GM) structures occurring in COVID-19 "long haulers". Advanced imaging techniques can quantify brain volume depletions related to COVID-19 infection which is important as conventional Brain MRI often fails to identify disease correlates. 3-dimensional voxel-based morphometry (3D VBM) analyzes, segments and quantifies key brain volumes allowing comparisons between COVID-19 "long haulers" and normative data drawn from healthy controls, with values based on percentages of intracranial volume.
Methods: This is a retrospective single center study which analyzed 24 consecutive COVID-19 infected patients with long term neurologic symptoms. Each patient underwent Brain MRI with 3D VBM at median time of 85 days following laboratory confirmation. All patients had relatively mild respiratory symptoms not requiring oxygen supplementation, hospitalization, or assisted ventilation. 3D VBM was obtained for whole brain and forebrain parenchyma, cortical grey matter (CGM), hippocampus, and thalamus.
Results: The results demonstrate a statistically significant depletion of CGM volume in 24 COVID-19 infected patients. Reduced CGM volume likely influences their long term neurological sequelae and may impair post COVID-19 patient's quality of life and productivity.
Conclusion: This study contributes to understanding effects of COVID-19 infection on patient's neurocognitive and neurological function, with potential for producing serious long term personal and economic consequences, and ongoing challenges to public health systems.
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http://dx.doi.org/10.1186/s12883-023-03049-1 | DOI Listing |
Lancet Reg Health Am
November 2024
Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Background: People with disabilities are at elevated risk of adverse short-term outcomes following hospitalization for acute infectious illness. No prior studies have compared long-term healthcare use among this high-risk population. We compared the healthcare use of adults with disabilities in the one year following hospitalization for COVID-19 vs.
View Article and Find Full Text PDFWien Klin Wochenschr
November 2024
Department of Physical Medicine, Rehabilitation and Occupational Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Background: Early exercise intervention studies showed promising positive effects of physical exercising on post-COVID-19 symptoms; however, little is known about long-term training adherence and what influences it.
Material And Methods: Semi-structured interviews were conducted with 17 participants of the 8‑week original exercise intervention study. Facilitators and barriers were identified via thematic analysis and compared between those participants who continued their regular exercise behavior (continuous exercise group, CEG, n = 7) and those who stopped exercising (discontinuous exercise group, DEG, n = 10).
Nat Commun
September 2024
Department of Emergency Medicine, The University of British Columbia, Vancouver, BC, Canada.
Front Med (Lausanne)
August 2024
Mayo Clinic, Rochester, MN, United States.
Background: Nearly 30% of patients with COVID-19 infection develop post-COVID Syndrome. Knowledge of post-COVID Syndrome is evolving, creating the need for adaptable curricula. Flipped classrooms (FC) are flexible and dynamic with demonstrated utility in continuing medical education (CME), yet there has been no research on application of FCs, or comparisons between livestream and in-person learning, in post-COVID CME.
View Article and Find Full Text PDFJ Patient Rep Outcomes
August 2024
Regeneron Pharmaceuticals, Inc., 1 Rockwood Road, Sleepy Hollow, NY, 10591, USA.
Background: The field of long COVID research is rapidly evolving, however, tools to assess and monitor symptoms and recovery of the disease are limited. The objective of the present study was to develop a new patient-reported outcomes instrument, the Symptoms Evolution of Long COVID‑19 (SE-LC19), and establish its content validity.
Methods: The 40-item SE-LC19 instrument was developed based on patient-relevant empirical evidence from scientific literature and clinical guidelines that reported symptoms specific to long COVID.
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