Abstract
Introduction/Aims
There are limited studies on the association of COVID‐19 vaccination with neuralgic amyotrophy (NA). Therefore, we evaluated the association between COVID‐19 vaccination and the occurrence of NA.
Methods
We explored unexpected safety signals for NA related to COVID‐19 vaccination through disproportionality analysis using VigiBase, the World Health Organization's pharmacovigilance database.
Results
On October 15, 2021, 335 cases of NA were identified in the database. The median time to onset of NA after vaccination was around 2 weeks. A significant signal of disproportionality of NA was observed for the ChAdOx1 nCoV‐19 vaccine (AstraZeneca) (information component [IC]025 = 0.33, reporting odds ratio [ROR]025 = 1.30) and two mRNA‐based COVID‐19 vaccines (BNT162b2 [Pfizer and BioNTech] and mRNA‐1273 [Moderna]) (IC025 = 1.74, ROR025 = 3.82) compared with the entire database. However, when compared with influenza vaccines, we did not detect any signal of disproportionality of NA for both the ChAdOx1 nCoV‐19 vaccine (IC025 = −2.71, ROR025 = 0.05) and mRNA‐based COVID‐19 vaccines (IC025 = −1.38, ROR025 = 0.13).
Discussion
A weak association was observed between NA and COVID‐19 vaccines. However, the risk did not surpass that of influenza vaccines.
Keywords: COVID‐19, neuralgic amyotrophy, Parsonage‐Turner syndrome, SARS‐CoV‐2, vaccination
Abbreviations
- ADR
adverse drug reaction
- CI
confidence interval
- IC
information component
- MedDRA
Medical Dictionary for Drug Regulatory Activities
- NA
neuralgic amyotrophy
- PT
preferred term
- ROR
reporting odds ratio
- WHO
World Health Organization
1. INTRODUCTION
Neuralgic amyotrophy (NA) typically starts with severe unilateral shoulder and arm pain, followed by motor weakness and atrophy and less severe sensory deficits due to involvement of the brachial plexus or of its individual branches.1, 2 Recent infection and vaccination are known to be the most frequent risk factors for its development, accounting for 25% and 15% of reported NA cases, respectively. 1 Its pathophysiology has not been unequivocally determined; however, molecular mimicry and bystander activation of immune‐mediated mechanisms against the brachial plexus in genetically susceptible people may be causes. 2 Several patients with NA have been reported after COVID‐19 vaccination, suggesting an association between these events.3, 4
The aim of this study was to assess for any association between NA and COVID‐19 vaccination using VigiBase, the World Health Organization (WHO) global pharmacovigilance database.
2. METHODS
Disproportionality analysis is a method to evaluate the extent to which the incidence of adverse drug reactions (ADRs) increases for specific drugs compared with the subject with no relationship.5, 6 Bayesian disproportionality analyses of the ADRs of BNT162b2 (Pfizer and BioNTech), mRNA‐1273 (Moderna), and ChAdOx1 nCoV‐19 (AstraZeneca) vaccinations were performed using case safety reports in VigiBase, a deduplication database of the WHO, as described in previous work.5, 6, 7, 8, 9, 10 In brief, on October 15, 2021, all cases of NA reported as ADRs from BNT162b2, mRNA‐1273, or ChAdOx1 nCoV‐19 vaccination in VigiBase that used the following preferred terms (PTs) from the Medical Dictionary for Drug Regulatory Activities (MedDRA) were extracted: “neuralgic amyotrophy,” “radiculitis brachial,” and “brachial plexopathy.” 11 Clinical data (age, sex, type of vaccine, time to onset of NA symptoms, reporting regions, seriousness, and final outcomes) were acquired from VigiBase. Time to onset (days) of NA was determined by calculating the interval between vaccination date and occurrence date of the ADR. A serious ADR was defined as one resulting in significant disability, hospitalization, life‐threatening symptoms, or fatality, following the ICH E2B criteria. 12 Final outcomes were classified as recovered, recovered with sequelae, recovering, not recovered, death, or unknown. 12 Sequelae were defined as any permanent injuries or complications that resulted from ADRs. 12 Subgroup analyses were performed according to the type of vaccine (mRNA‐based COVID‐19 vaccines or ChAdOx1 nCoV‐19 vaccine). To reduce selection bias, patients who received BNT162b2 or mRNA‐1273 were analyzed as a combined group, as recommended by VigiBase.
Disproportionalities were analyzed by calculating the information component (IC), which is the logarithmic measure of intensity of the association between a drug and an ADR. A 95% lower end of IC (IC025) greater than 0 was considered statistically significant. 13 We also determined the reporting odds ratio (ROR) values for sensitivity analyses. 14 A lower end of the ROR (ROR025) 95% confidence interval (CI) of at least 1 was considered significant. 15 We performed two analyses with two control groups (the entire database, including all drugs and vaccines, and database restricted to influenza vaccines). Statistical analyses were conducted using R version 3.3.3 (R Foundation for Statistical Computing, Vienna, Austria) and SAS version 9.4 (SAS Institute, Cary, North Carolina). Qualitative and quantitative variables are presented as frequency (%) and median (interquartile range), retrospectively. We used the Kruskal‐Wallis test followed by the Mann‐Whitney U test to compare the time to onset and the outcomes of NA between each vaccine type. Bonferroni correction used for multiple comparisons. The calculated P value was multiplied by 3 (the number of comparisons) and displayed in the form of an adjusted P value. An adjusted P ≤ 0.05 was considered significant. Chi‐square tests were used to calculate odds ratio for residual neurological sequelae (recovered with sequelae, recovering, not recovered, and death at last follow‐up) of NA between vaccines. Cases with missing outcomes data were excluded from the analyses. 12 Our study was approved by the institutional review board of Ewha Woman's University Seoul Hospital (EUMC‐2021‐08‐021).
3. RESULTS
On October 15, 2021, from among 1 731 147 ADR reports related to COVID‐19 vaccines, we identified 335 (0.02%) NA cases (including 219 NA cases, 93 radiculitis brachial cases, and 23 brachial plexopathy cases) reported as ADRs of the BNT162b2 (n = 197), mRNA‐1273 (n = 78), and ChAdOx1 nCoV‐19 (n = 60) vaccines. The clinical characteristics of COVID‐19 vaccine–related NA are presented in Table 1. For all types of COVID‐19 vaccines, the most common age group in which NA occurred was 45 to 64 years. There was no significant difference in the time to onset of NA among the ChAdOx1 nCoV‐19, BNT162b2, and mRNA‐1273 vaccines. The outcomes of each vaccine group are presented in Table 2.
TABLE 1.
Characteristics of COVID‐19 vaccine–related neuralgic amyotrophy cases reported in the pharmacovigilance database of the World Health Organization
| Neuralgic amyotrophy (N = 335) | |||
|---|---|---|---|
| ChAdOx1 nCoV‐19 (n = 60) | BNT162b2 (n = 197) | mRNA‐1273 (n = 78) | |
| Age, years | |||
| ≤11 | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| 12‐17 | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| 18‐44 | 11 (18.3%) | 63 (32.0%) | 21 (26.9%) |
| 45‐64 | 41 (68.3%) | 70 (35.5%) | 34 (43.6%) |
| 65‐74 | 3 (5.0%) | 14 (7.1%) | 19 (24.4%) |
| ≥75 | 2 (3.3%) | 11 (5.6%) | 2 (2.6%) |
| Unknown | 3 (5.0%) | 39 (19.8%) | 2 (2.6%) |
| Sex | |||
| Male | 28 (46.7%) | 83 (42.1%) | 34 (43.6%) |
| Female | 31 (51.7%) | 114 (57.9%) | 44 (56.4%) |
| Unknown | 1 (1.7%) | 0 (0.0%) | 0 (0.0%) |
| Continent | |||
| Africa | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Americas | 2 (3.3%) | 104 (52.8%) | 56 (71.8%) |
| Asia | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Europe | 58 (96.7%) | 92 (46.7%) | 22 (28.2%) |
| Oceania | 0.0 (0.0%) | 1 (0.5%) | 0 (0.0%) |
| Seriousness | |||
| Yes | 49 (81.7%) | 98 (49.7%) | 31 (39.7%) |
| No | 11 (18.3%) | 99 (50.3%) | 47 (60.3%) |
| Time to onset, days | 15.5 [4.0‐28.8] | 10 [4‐15] | 10 [3‐22] |
| Outcome | |||
| Recovered | 2 (3.3%) | 82 (41.6%) | 42 (53.8%) |
| Recovered with sequelae | 1 (1.7%) | 2 (1.0%) | 0 (0.0%) |
| Recovering | 13 (21.7%) | 56 (28.4%) | 24 (30.8%) |
| Not recovered | 36 (60.0%) | 49 (24.9%) | 10 (12.8%) |
| Death | 0 (0.0%) | 0 (0.0%) | 1 (1.3%) |
| Unknown | 8 (13.3%) | 8 (4.1%) | 1 (1.3%) |
Note: Data expressed as number (%) or median [interquartile range].
TABLE 2.
Patients with neuralgic amyotrophy who had sequelae after COVID‐19 vaccination
| ChAdOx1 nCoV‐19, | BNT162b2, | mRNA‐1273, | ChAdOx1 nCoV‐19 vs BNT162b2 | ChAdOx1 nCoV‐19 vs mRNA‐1273 | BNT162b2 vs mRNA‐1273 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| n (%) | n (%) | n (%) | P value | Odds ratio (95% CI) | Adjusted P value | Odds ratio (95% CI) | Adjusted P value | Odds ratio (95% CI) | Adjusted P value | |
| Sequelae (n = 318) a | 37 (71.15%) | 51 (26.98%) | 11 (14.29%) | <.0001 | 29.75 (7.81‐128.00) | <0.0001 | 70.64 (15.77‐312.60) | <0.0001 | 2.38 (1.15‐5.20) | 0.13 |
Abbreviation: CI, confidence interval.
Patients with unreported outcome of neuralgic amyotrophy were not included in the analysis. Total analyzed adverse drug reaction reports of neuralgic amyotrophy included 318 patients (ChAdOx1 nCoV‐19, n = 52; BNT162b2, n = 189; mRNA‐1273, n = 77).
When compared with the entire database, a significant signal of disproportionality of NA was noted overall and for each type of COVID‐19 vaccine (overall: IC025 = 1.46, ROR025 = 3.20; mRNA‐based COVID‐19 vaccines: IC025 = 1.74, ROR025 = 3.82; ChAdOx1 nCoV‐19 vaccine: IC025 = 0.33, ROR025 = 1.30). However, when compared with the database with influenza vaccines alone, none of the COVID‐19 vaccines showed any significant signal of disproportionality (Figure 1).
FIGURE 1.

Forest plot with the odds ratio and information component values of neuralgic amyotrophy related to mRNA‐based (BNT162b2, mRNA‐1273) and ChAdOx1 nCoV‐19 vaccines compared with the entire database and influenza vaccines in VigiBase.
4. DISCUSSION
We found that NA showed some association with mRNA‐based COVID‐19 vaccines and the ChAdOx1 nCoV‐19 vaccine when compared with entire database; however, the signal of disproportionality did not surpass that of the influenza vaccines. NA appeared to be more strongly associated with mRNA‐based COVID‐19 vaccines than the ChAdOx1 nCoV‐19 vaccine (yet ChAdOx1 nCoV‐19 vaccination led to more frequent residual deficits) in our study. A stronger association of NA with mRNA‐based COVID‐19 vaccines was speculated in previous case reports.3, 4 The cause of this outcome is unclear. Type I interferon responses elicited by mRNA vaccines may play a significant role in NA development. 16 Post‐vaccination NA appeared around 2 weeks after first‐dose vaccination in our study. The time interval between vaccination and NA coincides with the well‐known point at which the immune response is maximized after infection or vaccination and suggests a possible association between NA and COVID‐19 vaccination.17, 18
Our study has several limitations. First, VigiBase is a passive reporting database open to physicians and the lay population, and thus may be subject to reporting bias. Second, VigiBase does not offer radiological/laboratory information and does not record the number of vaccinations per patient. Third, ADR in countries where reports are not linked to VigiBase may be omitted. However, VigiBase is composed of the data sent from national drug‐monitoring centers after their primary review. Disproportionality analysis using VigiBase permits rapid assessment of whether clinical ADRs are associated with a drug, based on large‐scale ADR reports from more than 130 countries. The advantage of these methodological approaches was well established in previous studies.6, 19, 20 VigiBase itself evaluates whether drug‐related ADRs are reported more frequently with one drug than with another, but not does confirm causality. Therefore, these results remain to be confirmed through in a future prospective epidemiological study.
The reporting of NA within 1 month of COVID‐19 vaccination suggests that clinicians and epidemiologists should continue to pay attention to the possibility of NA outbreaks associated with the COVID‐19 vaccine. Even if there is a relationship between COVID‐19 vaccination and NA, the risk of NA occurrence after COVID‐19 vacations may be low and similar to that seen with influenza vaccination.
ETHICAL PUBLICATION STATEMENT
We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.
AUTHOR CONTRIBUTIONS
Concept and design: Drs Kim, Park, Min, Hong, and Song; acquisition, analysis, or interpretation of data: Drs Kim, Park, Min, Hong, and Song; drafting of the manuscript: Drs Kim, Park, Min, Hong, and Song; critical revision of the manuscript for important intellectual content: Drs Kim, Park, Hong, and Song; statistical analysis: Dr Song; administrative, technical, or material support: Dr Song; supervision: Dr Song. Dr Song has full access to all data in the study and takes responsibility for the integrity of the data and the accuracy of data analysis.
CONFLICT OF INTEREST
The authors declare not potential conflicts of interest.
ACKNOWLEDGMENTS
We would like to thank VigiBase for allowing us access to the data. The data supplied to VigiBase come from various sources, and the likelihood of a causal relationship is not the same in all reports.
The information does not represent the opinions of the Uppsala Monitoring Center or the World Health Organization.
Kim J‐E, Park J, Min YG, Hong Y‐H, Song T‐J. Associations of neuralgic amyotrophy with COVID‐19 vaccination: Disproportionality analysis using the World Health Organization pharmacovigilance database. Muscle & Nerve. 2022;66(6):766‐770. doi: 10.1002/mus.27734
Jee‐Eun Kim and Jin Park contributed equally to this study.
Funding information the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Grant/Award Number: 2021R1F1A1048113; World Health Organization
DATA AVAILABILITY STATEMENT
Anonymized data used in this study are publicly shared by the Uppsala Monitoring Centre or the World Health Organization and can be obtained from VigiBase.
REFERENCES
- 1. Van Eijk JJ, Groothuis JT, Van Alfen N. Neuralgic amyotrophy: an update on diagnosis, pathophysiology, and treatment. Muscle Nerve. 2016;53:337‐350. [DOI] [PubMed] [Google Scholar]
- 2. van Alfen N, van Engelen BG. The clinical spectrum of neuralgic amyotrophy in 246 cases. Brain. 2006;129:438‐450. [DOI] [PubMed] [Google Scholar]
- 3. Min YG, Kim JE, Hwang JY, Shin JY, Sung JJ, Hong YH. Parsonage‐Turner syndrome following COVID‐19 vaccination. J Neurol Neurosurg Psychiatry. Published online April 6, 2022. 2022;jnnp‐2021‐328182. doi: 10.1136/jnnp-2021-328182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Garg RK, Paliwal VK. Spectrum of neurological complications following COVID‐19 vaccination. Neurol Sci. 2022;43:3‐40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Bate A, Lindquist M, Edwards IR, et al. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol. 1998;54:315‐321. [DOI] [PubMed] [Google Scholar]
- 6. Salem JE, Manouchehri A, Moey M, et al. Cardiovascular toxicities associated with immune checkpoint inhibitors: an observational, retrospective, pharmacovigilance study. Lancet Oncol. 2018;19:1579‐1589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Lindquist M. VigiBase, the WHO global ICSR database system: basic facts. Ther Innov Regul Sci. 2008;42:409‐419. [Google Scholar]
- 8. Park J, Kim D, Song TJ. A disproportionality analysis for association of systemic capillary leak syndrome with COVID‐19 vaccination using the World Health Organization pharmacovigilance database. Vaccine. 2022;10:835‐842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Park J, Park MS, Kim HJ, Song TJ. Association of cerebral venous thrombosis with mRNA COVID‐19 vaccines: a disproportionality analysis of the World Health Organization pharmacovigilance database. Vaccine. 2022;10:799‐808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Kim JE, Park J, Song TJ. A disproportionality analysis for the association of central nervous system demyelinating diseases with COVID‐19 vaccination using the World Health Organization pharmacovigilance database. Mult Scler. 2022;28(13):2112‐2123. doi: 10.1177/13524585221109397. [DOI] [PubMed] [Google Scholar]
- 11. Brown EG, Wood L, Wood S. The Medical Dictionary for Regulatory Activities (MedDRA). Drug Saf. 1999;20:109‐117. [DOI] [PubMed] [Google Scholar]
- 12. International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. Maintenance of the ICH guideline on clinical safety data management: data elements for transmission of individual case safety reports E2B(R2). https://admin.ich.org/sites/default/files/inline-files/e2b_r2_guideline.pdf. Accessed March 9, 2021.
- 13. Norén GN, Hopstadius J, Bate A. Shrinkage observed‐to‐expected ratios for robust and transparent large‐scale pattern discovery. Stat Methods Med Res. 2013;22:57‐69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Rothman KJ, Lanes S, Sacks ST. The reporting odds ratio and its advantages over the proportional reporting ratio. Pharmacoepidemiol Drug Saf. 2004;13:519‐523. [DOI] [PubMed] [Google Scholar]
- 15. De Bruin ML, Pettersson M, Meyboom RHB, Hoes AW, Leufkens HGM. Anti‐HERG activity and the risk of drug‐induced arrhythmias and sudden death. Eur Heart J. 2005;26:590‐597. [DOI] [PubMed] [Google Scholar]
- 16. Heinz FX, Stiasny K. Distinguishing features of current COVID‐19 vaccines: knowns and unknowns of antigen presentation and modes of action. NPJ Vaccines. 2021;6:104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Naaber P, Tserel L, Kangro K, et al. Dynamics of antibody response to BNT162b2 vaccine after six months: a longitudinal prospective study. Lancet Reg Health Eur. 2021;10:100208. doi: 10.1016/j.lanepe.2021.100208. Online ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Addo IY, Dadzie FA, Boadi C, Boadu EF. Duration of immunity following full vaccination against SARS‐CoV‐2: a systematic review. Arch Public Health. 2022;80:200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Slade BA, Leidel L, Vellozzi C, et al. Postlicensure safety surveillance for quadrivalent human papillomavirus recombinant vaccine. JAMA. 2009;302:750‐757. [DOI] [PubMed] [Google Scholar]
- 20. Dolladille C, Ederhy S, Sassier M, et al. Immune checkpoint inhibitor rechallenge after immune‐related adverse events in patients with cancer. JAMA Oncol. 2020;6:865‐871. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Anonymized data used in this study are publicly shared by the Uppsala Monitoring Centre or the World Health Organization and can be obtained from VigiBase.
