Artikel ; Online: Shoulder injury following COVID-19 vaccine administration: a case series and proposed diagnostic algorithm.
2023 Band 22, Heft 1, Seite(n) 299–306
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 ... ...
| 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. |
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| Mesh-Begriff(e) | Humans ; Algorithms ; COVID-19/diagnosis ; COVID-19/prevention & control ; COVID-19 Testing ; COVID-19 Vaccines/administration & dosage ; Shoulder Injuries ; Vaccination ; Vaccines ; Victoria/epidemiology | |||||
| Chemische Substanzen | COVID-19 Vaccines ; Vaccines | |||||
| Sprache | Englisch | |||||
| Erscheinungsdatum | 2023-03-09 | |||||
| Erscheinungsland | England | |||||
| Dokumenttyp | Review ; Journal Article | |||||
| ZDB-ID | 2181284-6 | |||||
| ISSN | 1744-8395 ; 1476-0584 | |||||
| ISSN (online) | 1744-8395 | |||||
| ISSN | 1476-0584 | |||||
| DOI | 10.1080/14760584.2023.2189463 | |||||
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| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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