| Literature DB >> 34313952 |
Carl H Göbel1,2, Axel Heinze3, Sarah Karstedt3, Mascha Morscheck3, Lilian Tashiro3, Anna Cirkel4,3, Qutyaba Hamid5,6, Rabih Halwani5,6, Mohamad-Hani Temsah7, Malte Ziemann8, Siegfried Görg8, Thomas Münte4, Hartmut Göbel3.
Abstract
INTRODUCTION: The most frequently reported neurological adverse event of ChAdOx1 nCoV-19 (AZD1222) vaccine is headache in 57.5%. Several cases of cerebral venous thrombosis (CVT) have developed after vaccination. Headache is the leading symptom of CVT. For the differential diagnosis of headaches attributed to this vaccine and headaches attributed to CVT, it is of central clinical importance whether and, if so, how the phenotypes and course of these headaches can be differentiated. The study aims to examine in detail the phenotype of headache attributed to this vaccine.Entities:
Keywords: COVID-19; Cerebral venous thrombosis; ChAdOx1 nCoV-19 (AZD1222) vaccine; Headache; ICHD-3; International Classification of Headache Disorders; Novel coronavirus SARS-CoV-2; Side effects; Vaccination
Year: 2021 PMID: 34313952 PMCID: PMC8314854 DOI: 10.1007/s40122-021-00296-3
Source DB: PubMed Journal: Pain Ther
Demographic data of patients
| Parameter | Value |
|---|---|
| 2464 | |
| Sex, no. (%) | |
| Female | 1534 (84.7%) |
| Male | 276 (15.2%) |
| Age at vaccination (years) | |
| Arithmetic mean | 39.0 |
| Standard deviation | 12.7 |
| Median | 39 |
| Range | 18–78 |
| Height (cm) | 170.2 ± 8.1 |
| Body weight (kg) | 75.8 ± 18.6 |
Fig. 1Age distribution (years) of participants
Fig. 2Relative frequency distribution of headaches after previous vaccinations
Fig. 3Frequency distribution of history of other headache disorders
Fig. 4Frequency distribution of comorbid diseases
Fig. 5Cumulative frequency distribution of latency (h) between vaccination and onset of headache
Fig. 6Cumulative frequency distribution of duration (h) of headache attributed to COVID-19 vaccination
Fig. 7Frequency distribution of headache location
Fig. 8Frequency distribution of headache side lateralization
Fig. 9Frequency distribution of radiation of pain
Fig. 10Frequency distribution of headache character
Fig. 11Frequency distribution of headache intensity
Fig. 12Frequency distribution of effect of routine physical activity on headache
Fig. 13Frequency distribution of migraine-like accompanying symptoms
Fig. 14Frequency distribution of further accompanying symptoms
Comparison of patients with pre-existing primary headaches (migraine, tension-type headache, or cluster headache) with patients without pre-existing primary headaches with regard to quantitative parameters of headaches attributed to COVID-19 vaccination with the ChAdOx1 nCoV-19 (AZD1222) vaccine
| Migraine | Tension-type headache | Cluster headache | No primary headaches | |
|---|---|---|---|---|
| Latency between vaccination and onset of headache (hours) | 14.3 ± 20.6 | 14.2 ± 20.0 | 9.4 ± 4.5 | 14.8 ± 22.9 |
| Duration of headache attributed to COVID-19 vaccination (hours) | 20.9 ± 32.6 | 16.8 ± 35.2 | 22.0 ± 35.6 | 13.0 ± 18.5 |
| Intensity of headache attributed to COVID-19 vaccination (VRS 0–5) | 3.7 ± 0.8 | 3.5 ± 0.8 | 3.6 ± 0.9 | 3.2 ± 0.9 |
Arithmetic mean and standard deviation. Statistical analysis using t test
Group comparison of women and men with regard to quantitative parameters of headaches attributed to COVID-19 vaccination with the ChAdOx1 nCoV-19 (AZD1222) vaccine
| Women | Men | ||
|---|---|---|---|
| Latency between vaccination and onset of headache (hours) | 14.3 ± 20.9 | 15.6 ± 23.8 | |
| Duration of headache attributed to COVID-19 vaccination (hours) | 17.3 ± 33.4 | 13.7 ± 16.6 | |
| Intensity of headache attributed to COVID-19 vaccination (VRS 0–5) | 3.6 ± 0.9 | 3.2 ± 0.8 | |
Arithmetic mean and standard deviation. Statistical analysis using t test
Age group comparison of participants aged ≥ 55 years and < 55 years with regard to quantitative parameters of headaches attributed to COVID-19 vaccination with the ChAdOx1 nCoV-19 (AZD1222) vaccine
| ≥ 55 | < 55 | ||
|---|---|---|---|
| Latency between vaccination and onset of headache (hours) | 15.4 ± 19.9 | 14.3 ± 21.7 | |
| Duration of headache attributed to COVID-19 vaccination (hours) | 15.7 ± 22.4 | 16.9 ± 32.7 | |
| Intensity of headache attributed to COVID-19 vaccination (VRS 0–5) | 3.2 ± 0.9 | 3.6 ± 0.8 | |
Arithmetic mean and standard deviation. Statistical analysis using t test
Fig. 15Frequency distribution of medication used
Fig. 16Frequency of medication rated as most effective
Proposal for diagnostic criteria of headaches attributed to COVID-19 vaccination with the ChAdOx1 nCoV-19 (AZD1222) vaccine
| The most frequently reported neurological adverse event of ChAdOx1 nCoV-19 (AZD1222) vaccine is headache in 57.5%. |
| Several cases of cerebral venous thrombosis (CVT) have developed after vaccination. Headache is the leading symptom of CVT. |
| For the differential diagnosis of headaches attributed to this vaccine and other primary or secondary headaches, it is of central clinical importance whether and, if so, how the phenotypes and course of these headaches can be differentiated. |
| The study aims to analyze and describe in detail the phenotype of headache attributed to ChAdOx1 nCoV-19 (AZD1222) vaccine. |
| Headaches attributed to COVID-19 vaccination with the ChAdOx1 nCoV-19 (AZD1222) vaccine demonstrate an extensive complex of symptoms. |
| The specific set of accompanying symptoms, along with the temporal and spatial headache characteristics describe a characteristic headache phenotype for headaches attributed to COVID-19 vaccination. |
| The findings have several important clinical implications for the differentiation of post-vaccinal headache and headache due to cerebral venous thrombosis as a complication of vaccination. |
| On the basis of this analysis and by analogy to the ICHD-3, we are proposing new diagnostic criteria of headaches attributed to COVID-19 vaccination with the ChAdOx1 nCoV-19 (AZD1222) vaccine. |