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Sarcopenia and Multisensory Integration Deficit in Post-COVID Syndrome Patients: The Clinical, Ultrasound and Robotic
Antonella LoMauro1, Fabrizio Gervasoni, Vincenzo Ricci
1From the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy (ALM); Physical and Rehabilitation Medicine Unit, "Luigi Sacco" University Hospital, Asst Fatebenefratelli Sacco, Milan, Italy (FG, VR, GS, AA); Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy (LP); and Department of Physical and Rehabilitation Medicine, Hacettepe University Medical School, Ankara, Turkey (LÖ).
Introduction:
Post-COVID syndrome affects relatively young outpatients with fatigue as the mostly reported symptom. We wondered whether sarcopenia could play a role.
Methods:
Seventy-four outpatients (median age: 53.8 yrs, 45 females), reporting fatigue and persistent mild neurological/motor deficits, completed the Clinical, Ultrasound and Robotic Evaluation protocol 4.8 mos after the infection.
Results:
The incidence of sarcopenia was 41%. Sarcopenic patients were older (62.7 vs. 46.4 yrs, P < 0.001), they experienced longer infection (33 vs. 24 days, P = 0.006) and higher incidence of hospitalization (86.6 vs. 29.5%, P < 0.001), they did not report more fatigue (44.5 vs. 48, P = 0.424), but they walked slower (1.27 vs. 1.5 m/sec, P = 0.027).After multivariable adjustment using multiple logistic regression, sarcopenia was dependent on age (odds ratio = 1.09) and on the duration of the disease (odds ratio = 1.04).When expressed as z score, in 79% of patients, the sway path during elastic balance shifted significantly toward negative values with closed eye, indicating multisensory integration deficit.
Conclusions:
Post-COVID syndrome in relatively young outpatients complaining mild motor deficit is associated with high incidence of sarcopenia. In addition, they have multisensory integration deficit that further contributes to symptoms. The Clinical, Ultrasound and Robotic Evaluation protocol is able to objectivize symptoms that common diagnostic tool cannot reveal.
To Claim Cme Credits:
Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME.
To Claim Cme Credits:
Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME.
Cme Objectives:
Upon completion of this article, the reader should be able to: (1) Determine the best diagnostic algorithm for the diagnosis of sarcopenia; (2) Identify and treat two additional factors that help to explain and understand the symptoms reported by relatively young post-COVID syndrome patients; and (3) Extend their diagnostic capability through the use of technology.
Level:
Advanced.
Accreditation:
The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s) ™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Level:
Advanced.
Accreditation:
The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s) ™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
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