Shoulder injury following COVID-19 vaccine administration: a case series and proposed diagnostic algorithm.
Expert Rev Vaccines
; 22(1): 299-306, 2023.
Article
in English
| MEDLINE | ID: covidwho-2276313
ABSTRACT
BACKGROUND:
Shoulder Injury Related to Vaccine Administration (SIRVA) is a preventable adverse event following incorrect vaccine administration, which can result in significant long-term morbidity. There has been a notable surge in reported cases of SIRVA as a rapid national population-based COVID-19 immunization program has been rolled out across Australia.METHODS:
Surveillance of Adverse Events Following Vaccination in the Community (SAEFVIC) in Victoria identified 221 suspected cases of SIRVA following the commencement of the COVID-19 vaccination program, reported between February 2021 and February 2022. This review describes the clinical features and outcomes of SIRVA in this population. Additionally, a suggested diagnostic algorithm is proposed, in order to facilitate early recognition and management of SIRVA.RESULTS:
151 cases were confirmed as SIRVA, with 49.0% having received vaccines at state vaccination centers. 75.5% were suspected incorrect administration site, with most patients experiencing shoulder pain and restricted movement within 24 hours of vaccination, lasting on average 3 months.CONCLUSION:
Improved awareness and education regarding SIRVA is imperative in a pandemic vaccine roll-out. The development of a structured framework for evaluating and managing suspected SIRVA will aid in timely diagnosis and treatment, essential to mitigate potential long-term complications.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Shoulder Injuries
/
COVID-19 Vaccines
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
Topics:
Long Covid
/
Vaccines
Limits:
Humans
Country/Region as subject:
Oceania
Language:
English
Journal:
Expert Rev Vaccines
Journal subject:
Allergy and Immunology
Year:
2023
Document Type:
Article
Affiliation country:
14760584.2023.2189463
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