Literature DB >> 35601057

Prevalence of COVID-19 vaccine reactogenicity among Bangladeshi physicians.

Md Anwarul Azim Majumder1,2, Afzalunnessa Binte Lutfor3, Ahbab Mohammad Fazle Rabbi4, A B M Muksudul Alam5, Mizanur Rahman6, Narayan Saha7, Michael H Campbell2, Mainul Haque8, Kamrun Nessa9, Mohib Ullah Khondoker10, Tapas Ranjan Das11, Sayeeda Rahman12, Fauzia Jahan13, Saidur Rahman Mashreky14, Abrar Wahab14, Md Tosaddeque Hossain Siddiqui15, Karisha Hinkson-Lacorbiniere2, Roksana Ivy5, Rezaul Islam16, Yusuf Haider17, Eliza Omar5, S M Moslehuddin Ahmed18, A M Selim Reza5, A K M Daud19, Muiz Uddin Ahmed Choudhury19, Md Abed Hossain19, Abdul Matin Pappu5, Nusrat Jahan20, Mohammed S Razzaque21.   

Abstract

Increased COVID-19 vaccine hesitancy presents a major hurdle in global efforts to contain the COVID-19 pandemic. This study was designed to estimate the prevalence of adverse events after the first dose of the Covishield (AstraZeneca) vaccine among physicians in Bangladesh. A cross-sectional study was conducted using an online questionnaire for physicians (n = 916) in Bangladesh. Physicians who received at least one dose of the COVID-19 vaccine were included. The study was carried out from April 12 to May 31, 2021. More than 58% of respondents (n = 533) reported one or more adverse events. Soreness of the injected arm (71.9%), tiredness (56.1%), fever (54.4%), soreness of muscles (48.4%), headache (41.5%) and sleeping more than usual (26.8%) were the most commonly reported adverse events. Most vaccine-related reactogenicities were reported by the younger cohorts (<45 years). The majority of respondents reported severity of reactogenicity as "mild," experienced on the day of vaccination, and lasting for 1-3 days. The most common reactogenicity was pain at the injection site; the second most common was tiredness. Almost half (49.2%) of the physicians took acetaminophen (paracetamol) to minimize the effects of vaccine reactogenicity. Multivariate logistic regression analyses showed that physicians with diabetes and hypertension (OR = 2.729 95% CI: 1.282-5.089) and asthma with other comorbidities (OR = 1.885 95% CI: 1.001-3.551) had a significantly higher risk of vaccine-related reactogenicities than physicians without comorbidities. Further safety studies with larger cohorts are required to monitor vaccine safety and provide assurance to potential vaccine recipients.
© 2022 The Authors. FASEB BioAdvances published by the Federation of American Societies for Experimental Biology.

Entities:  

Keywords:  AstraZeneca vaccine; Bangladesh; COVID‐19; physicians; reactogenicity

Year:  2022        PMID: 35601057      PMCID: PMC9111157          DOI: 10.1096/fba.2021-00158

Source DB:  PubMed          Journal:  FASEB Bioadv        ISSN: 2573-9832


INTRODUCTION

Recent studies have demonstrated that high rates of COVID‐19 vaccine hesitancy among both the general population and healthcare professionals (HCPs) present a major hurdle in global efforts to contain the COVID‐19 pandemic. , , , , Public dissemination of evidence for the safety and efficacy of vaccines may encourage vaccine acceptance. In the absence of sufficient vaccine acceptance, universal access to vaccination may not achieve immunization coverage essential to control the ongoing pandemic. In fact, global herd immunity (population vaccine coverage of 60%–80%) is becoming unachievable due to stark disparities in vaccination rates among different countries. , As of 23 February 2022, more than 4.9 billion vaccine doses have been administered worldwide, which is equal to 63.9% of the world population. Several countries have temporarily discontinued the Oxford‐AstraZeneca vaccine over concerns that the vaccine may be linked to an increased risk of blood clots. Although blood clots have been reported as an infrequent side effect in some populations, the risk of clotting due to COVID‐19 infection appears to be greater than that posed by the vaccine. Nonetheless, these concerns may contribute to vaccine hesitancy. , , In addition to these rare, serious complications, more commonly reported symptoms associated with reactogenicity may also contribute to vaccine reluctance. The reactogenicity of COVID‐19 vaccines is emerging.  Thus far, data on vaccine safety and adverse events has been obtained primarily from manufacturer‐sponsored studies. A few clinical trials have published short‐term findings of the efficacy and safety of COVID‐19 vaccines.  Various government agencies monitor vaccine reactogenicity to rapidly detect safety ranges and rare adverse events, as well as provide real‐time data for risk analysis and decision‐making. , , For example, the U.S. Centers for Disease Control (CDC) , and the U.K. Medicines & Healthcare products Regulatory Agency (MHRA) collect self‐reported data from vaccine recipients via online tools. Despite the recognized challenges of self‐reporting symptoms, including inconsistency of data, reporting biases and lack of control groups, health authorities frequently use this approach to make inferences about the wider population of vaccine recipients. , , Bangladesh started vaccination for COVID‐19 from 8 February 2021. To our knowledge, this study is the first to report the prevalence and severity of COVID‐19‐vaccine associated reactogenicity among physicians in Bangladesh. The current study aimed to estimate the prevalence of the AstraZeneca vaccine reactogenicity among physicians who received vaccinations in the initial phase of vaccine roll‐out in Bangladesh. We surveyed only physicians and excluded other contemporary vaccine recipients to document reactogenicity in professionals with training to identify and clearly articulate symptoms. Monitoring the reactogenicity of COVID‐19 vaccines has the potential to identify uncommon adverse responses particular to Bangladeshi cohorts. Documenting reactogenicity is crucial for planning necessary clinical supports following COVID‐19 vaccination in Bangladesh and establishing safety data to promote vaccine acceptance.

MATERIALS AND METHODS

Study design and participants

A cross‐sectional survey was conducted among physicians working in different government and private sector academic institutes and hospitals in Bangladesh. Inclusion criteria were physicians who received at least one dose of the AstraZenica COVID‐19 vaccine. The study was conducted from 12 April 2021 to 31 May 2021.

Data collection

We asked physicians to complete a self‐administered online survey (via the Google Docs® platform) adapted for Bangladesh from an instrument developed by researchers working in Barbados (Hinkson‐Lacorbiniere and team). The questionnaire was validated by a multinational panel of public health specialists and amended as per their suggestions. A pilot study was conducted among 29 respondents who were excluded from the formal evaluation, and further adjustment was done based on their inputs. The modified questionnaire included demographic information, vaccination status (single dose or both required doses), history of COVID‐19 infection and presence of comorbidities (including diabetes, hypertension, lung disease, kidney disease and cancer). Vaccine reactogenicity was recorded in terms of time of symptom onset (same day, 1–3 days post‐vaccination, 4–7 post‐vaccination), severity (Severe—I had to seek medical attention; Moderate—I had to stop my daily activities; Mild—I was still able to do most daily activities), duration (1 day, 2–3 days, 4–7 days, still present) and whether treatment measures were taken (yes, no). Additionally, the questionnaire elicited physicians’ awareness of thromboembolic events and thrombocytopenia following vaccination. The survey was conducted and reported based on the checklist for reporting results of internet e‐surveys (CHERRIES). Because the survey was time sensitive, we recruited participants using convenience sampling by sharing the survey link via social networks (Facebook, Messenger, WhatsApp and Viber) and e‐mail. Investigators took the advantage of social media groups, professional associations and healthcare organizations to promote the survey. Participation in the survey was voluntary and anonymous. All the participants gave consent before participation. No identifiable personal information was collected or stored.

Ethical approval

Prior ethical approval was granted by the Research Ethics Committee of Shaheed Suhrawardy Medical College, Dhaka, Bangladesh (No: ShSMCH/Ethical/2021/09).

Statistical analysis

We calculated the reported prevalence of reactogenic events and their relationship with recorded demographic information. The primary outcome variable of interest was the presence of reactogenicity following COVID‐19 vaccination. Further, bivariate analyses were performed to examine the link between existing comorbidities, demographic characteristics and reported adverse events. Multivariate logistic regression was performed to investigate the individual effects of predictor variables on reactogenic symptoms. All statistical analysis was performed using IBM SPSS 22.

RESULTS

Responders’ characteristics

The demographic characteristics of the participants are shown in Table 1. A total of 916 physicians completed the questionnaire. The majority of respondents were male (52.8%) and were employed in the public/government sector (60.6%). Many of the respondents (35%) were those between 31‐40 years. More than half of the respondents (52.2%) reported no history of chronic diseases. More than a quarter of respondents (28.5%) had tested positive for COVID‐19 infection, and about three‐quarters (78.3%) had received both first and second doses of COVID‐19 vaccination at the time of the survey. All participants received the Covishield (AstraZeneca) vaccine, which was the only available vaccine in Bangladesh during the study period.
TABLE 1

Demographic and background information of study respondents (n = 916)

VariablesNumber of observationsPercentages
Gender of respondent
Male48452.8
Female43247.2
Age of respondents (in years)
21–3014215.5
31–4032135.0
41–5023325.4
51–6016117.6
61–70525.7
71–8010.1
Workplace of respondent
Private34437.6
Public/government55560.6
Other research institutions141.5
Work type of respondents (detailed)
Medical colleges/universities and affiliated hospitals49153.6
Government Hospitals21022.9
Private hospitals11913.0
Others9610.5
Vaccination status
First dose only19321.1
Both first and second doses71778.3
COVID−19 test status
Tested positive (RT‐PCR)26128.5
Never tested586.3
No59164.5
Timing of getting infected with COVID−19
Before the 1st dose20021.8
Between 1st dose and 2nd dose687.4
After the 2nd dose50.5
Prior presence of any chronic illness a
No illness47852.2
Diabetes313.4
Diabetes; Hypertension454.9
Diabetes; Hypertension and other comorbidities242.6
Diabetes and other comorbidities151.6
Hypertension and other comorbidities16417.9
Obesity and other comorbidities394.3
Asthma and other comorbidities636.9
Other comorbidities323.5
Measures take to alleviate adverse effects a
Drug taken: Paracetamol45149.2
Drug taken: Ibuprofen101.1
Drug taken: Other pain killer202.2
Cold bath/shower/sponge515.6
Sleep21223.3
Drinking more water20522.4
Nothing worked242.6
Nothing taken424.6
Other actions131.4
Experienced similar adverse effects from other vaccines (e.g. BCG, HPV)
Yes10411.4
No39042.5
Don't remember42246.1
Awareness: Risk of blood clotting after vaccination
Yes69075.3
No14515.8
Don't know818.8
Awareness: Risk of low platelets (thrombocytopenia) after vaccination
Yes50655.2
No27830.3
Don't know13214.4

Multiple answers.

Demographic and background information of study respondents (n = 916) Multiple answers.

Prevalence of vaccine reactogenicity

The prevalence of vaccine reactogenicity among respondents is shown in Figure 1. More than 58% (n = 533) respondents reported one or more reactogenic symptoms. The six most commonly reported adverse events were “soreness of the injected arm” (71.9%), “tiredness” (56.1%), “fever” (54.4%), soreness of muscles” (48.4%), “headache” (41.5%) and “sleeping more than usual” (26.8%). Most respondents characterized the severity of symptoms as mild. However, some respondents did rate their experience of symptoms as severe. The most common severe symptoms were fever (9.4%) and tiredness (20.1%). Only 11.5% of the respondents recalled similar adverse events from previous vaccinations for other diseases (e.g., BCG, HPV). Approximately half (49.2%) of the respondents took acetaminophen to treat reactogenic symptoms. Other actions taken to treat symptoms were sleep (23.1%) and drinking water (22.4%). More than 75% of the respondents were aware of the risk of thromboembolic events, and more than half (55.5%) were mindful of thrombocytopenia.
FIGURE 1

Prevalence of reactogenicity among respondents after receiving the first dose of Covishield (AstraZeneca) vaccine

Prevalence of reactogenicity among respondents after receiving the first dose of Covishield (AstraZeneca) vaccine The observed types of reactogenicity, including onset and duration, are summarized in Table 2. For most respondents, these adverse events appeared on the same day of vaccination, except for tiredness (24%), which appeared 2–3 days post vaccination. For 46.5% of participants, soreness in the arm occurred on the same day of vaccination; same‐day fever was reported by 34.3% of respondents. However, most respondents reported duration of 1–3 days for these frequently observed reactogenicities. For 45.8% of participants, soreness in the arm lasted for 1–3 days, followed by fever (31.5%). Tiredness persisted for 7 days for 7.7% of participants and beyond 7 days for 3.9%.
TABLE 2

Summary of six most commonly reported reactogenic symptoms (n = 533)

Adverse effectThe severity of adverse eventsTime of appearanceDuration adverse events last
SevereModerateMildTotalThat same dayBetween 2–3 daysBetween 4–7 daysTotalSame day1–3 days4‐7days>7 daysTotal
Soreness of the injected arm30 (5.6%)74 (13.9%)279 (52.3%)383 (71.9%)248 (46.5%)128 (24.0%)6 (1.1%)382 (71.7%)57 (10.7%)244 (45.8%)65 (12.2%)6 (1.1%)366 (68.7%)
Soreness of muscles27 (5.1%)84 (15.8%)147 (27.6%)258 (48.4%)132 (24.8%)106 (19.9%)3 (0.6%)241 (45.2%)39 (7.3%)160 (30.0%)30 (5.6%)6 (1.1%)229 (43.0%)
Fever50 (9.4%)87 (16.3%)153 (28.7%)290 (54.4%)183 (34.3%)96 (18.0%)2 (0.4%)281 (52.7%)87 (16.3%)168 (31.5%)15 (2.8%)6 (1.1%)276 (51.8%)
Headache34 (6.4%)63 (11.8%)124 (23.3%)221 (41.5%)125 (23.5%)74 (13.9%)4 (0.8%)203 (38.1%)49 (9.2%)124 (23.3%)23 (4.3%)15 (2.8%)211 (39.6%)
Tiredness35 (6.6%)107 (20.1%)157 (29.5%)299 (56.1%)107 (20.1%)128 (24.0%)11 (2.1%)246 (46.2%)42 (7.9%)127 (23.8%)41 (7.7%)21 (3.9%)231 (43.3%)
Sleeping more than usual16 (3.0%)57 (10.7%)70 (13.1%)143 26.8%)64 (12.0%)54 (10.1%)4 (0.8%)122 (22.9%)36 (6.8%)56 (10.5%)18 (3.4%)19 (3.6%)129 (24.2%)
Summary of six most commonly reported reactogenic symptoms (n = 533) The prevalence of reactogenicity among physicians stratified by gender and age is shown in Table 3. Females reported a higher incidence of reactogenicity compared to males. Fever, vision trouble, sleeping more than usual, rash/itching over the injected arm, and nausea were significantly more common among females (p < 0.05). Most of the adverse events were reported by respondents <45 years, irrespective of gender. Adverse events classified as “other” are shown in Appendix 1. Four case studies describing these reports are contained in Appendix 2.
TABLE 3

Prevalence of reactogenic symptoms among physicians stratified by gender and age

Adverse eventsGenderAge
Male (n = 269)Female (n = 264)Total p‐value21–44 years old a (n = 370)45+ years old b (n = 160)Total p‐value
Soreness of the injected arm200 (74.3%)199 (75.4%)3990.518303 (81.9%)94 (58.8%)3970.092
Soreness of muscles136 (50.1%)127 (48.1%)2630.678197 (53.2%)64 (40.0%)2610.486
Fever147 (54.7%)147 (55.7%)2940.007* 218 (58.9%)74 (46.3%)2920.101
Headache114 (42.4%)110 (41.7%)2240.257168 (45.4%)56 (35.0%)2240.398
Vision trouble6 (2.2%)13 (4.9%)190.039* 16 (4.3%)3 (1.9%)190.729
Tiredness148 (55.0%)159 (60.2%)3070.090236 (63.8%)70 (43.8%)3060.919
Sleeping more than usual66 (24.5%)83 (31.4%)1490.076118 (31.9%)30 (18.8%)1480.407
Sleeping less than usual22 (8.2%)22 (8.3%)440.92531 (8.4%)13 (8.1%)440.039*
Sleeping more than usual3 (1.1%)8 (3.0%)110.038* 7 (1.9%)4 (2.5%)110.750
Had more energy6 (2.2%)4 (1.5%)100.4229 (2.4%)1 (0.6%)100.558
Less anxious21 (7.8%)14 (5.3%)350.10325 (6.8%)10 (6.3%)350.241
Swelling of the injected arm31 (11.5%)48 (18.2%)790.02369 (18.6%)10 (6.3%)790.164
Swelling all over/allergic reaction3 (1.1%)6 (2.3%)90.4077 (1.9%)2 (1.3%)90.912
Rash/itching over the injected arm4 (1.4%)16 (6.0%)200.003* 15 (4.0%)5 (3.2%)200.768
Diarrhea12 (4.4%)16 (6.0%)280.49919 (51.4%)8 (5.0%)270.464
Nausea20 (7.43%)33 (12.5%)530.038* 44 (11.9%)9 (5.6%)530.586
Vomiting6 (2.2%)9 (3.4%)150.42613 (3.5%)2 (1.3%)150.915

21‐44 years: Younger participants.

45+ years: Older participants.

Significance: p < 0.05.

Prevalence of reactogenic symptoms among physicians stratified by gender and age 21‐44 years: Younger participants. 45+ years: Older participants. Significance: p < 0.05.

Determinants of adverse events

Findings from binary logistic regression analyses are presented in Table 4. All age groups had a significant impact on having adverse events than the physicians with younger age group. Physicians aged 61–70 years were almost 96% less likely to have an adverse event than physicians in their twenties (OR = 0.041 with 95% CI lies between 0.016 and 0.105). Existing comorbidity has an impact on having adverse events as well. Physicians with diabetes and hypertension were 2.72 times more likely to have an adverse event than physicians without prior conditions. Asthma and other comorbidities (OR = 1.885 95% CI: 1.001–3.551) also significantly increased the risk of reactogenicities than physicians without comorbidities.
TABLE 4

Logistic regression coefficients and odds ratios (95% CI) for determinants reactogenic symptoms

VariablesβSE (β)Exp(β) with 95% CI
Gender of respondent
Male (ref)
Female−0.0070.1580.993 (0.729, 1.353)
Age of respondents (in years)
21–30 (ref)
31–40−0.762**0.2640.467 (0.278, 0.783)
41–50−1.243***0.2800.289 (0.167, 0.500)
51–60−1.842***0.3210.159 (0.084, 0.298)
61–70−3.205***0.4840.041 (0.016, 0.105)
Work type of respondents (detailed)
Medical college/hospital (ref)
Medical university/hospital−0.0770.2940.926 (0.521, 1.647)
Private hospital0.2230.2451.250 (0.773, 2.021)
District hospital0.802*0.4182.231 (0.984, 5.058)
Government specialized hospital−0.3060.2490.737 (0.452, 1.200)
Upazilla health complex0.5710.3721.771 (0.855, 3.669)
Institute of health technology0.9241.1212.520 (0.280, 22.677)
Dental college−1.4921.2180.225 (0.021, 2.446)
Others−0.0390.2760.962 (0.560, 1.651)
Prior presence of any chronic illness
No illness (ref)
Diabetes0.1300.4341.139 (0.486, 2.667)
Diabetes; Hypertension1.004**0.3852.729 (1.282, 5.089)
Diabetes; Hypertension and other diseases0.3040.4571.356 (0.554, 3.319)
Diabetes and other diseases0.7260.6142.066 (0.620, 6.880)
Hypertension and other diseases0.1940.2131.214 (0.799, 1.842)
Obesity and other diseases0.707*0.4222.027 (0.886, 4.636)
Asthma and other diseases0.634*0.3231.885 (1.001, 3.551)
Other diseases0.4830.4351.621 (0.691, 3.802)

Reference category is denoted by (ref). Significance: ***p < 0.01, **p < 0.05, *p < 0.1.

Logistic regression coefficients and odds ratios (95% CI) for determinants reactogenic symptoms Reference category is denoted by (ref). Significance: ***p < 0.01, **p < 0.05, *p < 0.1.

DISCUSSION

The study estimated the prevalence of reactogenicity after the first dose of the AstraZeneca vaccine among Bangladeshi physicians. To the best of our knowledge, this is the first study of its type in Bangladesh. A key strength of this survey is the accuracy and reliability of symptom reporting by medical professionals. ,  We found that over half (58.2%) of respondents reported at least one reactogenic side effect after the first dose of vaccine. Two studies of the general population in Bangladesh at approximately the same time as the current study reported similar prevalence of adverse events: 50.9% in February‐June 2021 and 54.1% in May 2021. Compared to Bangladesh, higher vaccine reactogenicity has been reported in studies of HCPs in India (65.9% and 69.7% ), South Korea (99.8%, 98.1%, 90.9%, and 93% ), Germany, Czech Republic (94.6%),  Togo (71.6%),  Nepal (85%), Saudi Arabia (96.1%), Ethiopia (68.4%) and Ghana (80.7%). However, lower rates were found among HCPs in two studies from India—40% and 56.9%. These disparities may be due to greater representation of elderly participants (≥65 years), as older adults generally exhibit milder symptoms.  Jeon et al. noted the higher incidence (0% vs. 8.9%) and greater severity of reactogenic events in a younger age group compared to a study conducted by Voysey et al. with participants ≥65 years. In the present study, 5.8% of respondents were ≥60 years old, which may be one of the reasons for lower reported adverse events. Further, our study found that physicians aged 61–70 years were almost 96% less likely to have adverse events than physicians in their twenties. Similar age‐related findings were reported in other studies of Covisheild, , Pfizer‐BioNTech and Moderna vaccine recipients. Reactogenicity is usually induced by innate and adaptive immune responses leading to the release of chemokine and cytokines. Reactogenic symptoms are the result of chemokines and cytokines that mimic systemic immune response and include fever, tiredness, fatigue, pain and headache. Similarly, the release of inflammatory mediators due to immune response at the injection site leads to local reactions. These symptoms are evidence of effective vaccination.  The most commonly reported reactogenicity in our study was pain at the injection site, which was more prevalent among females and younger respondents. These findings are consistent with those of previous studies on the vaccination of HCPs. The most common reactogenicity reported in our study coincides with other studies conducted among HCPs , , , , and studies conducted among the general population. , As in other studies, , , , , , ,  most of our respondents experienced mild symptoms that were self‐limiting and resolved within a few days (1–3 days). Approximately half of the respondents took acetaminophen to treat symptoms, which is more than reported in other recent studies. One‐quarter of respondents in a general‐population Bangladeshi study used acetaminophen to minimize vaccine‐associated discomfort, as did 33.3% of HCPs in an Ethiopian study. We found that fever, vision trouble, sleeping more than usual, rash/itching over the injected arm and nausea were more commonly reported by females (p < 0.05). From the detailed frequency distribution, we found that female physicians experienced vaccine reactogenicity earlier than their male counterparts and that symptoms usually disappeared within 1–3 days in female physicians (not shown in tables of result section). Studies demonstrated that increased experience of adverse vaccination‐related events in women is related to estradiol, which can induce a more robust immune responses following vaccination. , Females typically exhibit higher innate, humoral and cellular immune responses to viral infections as well as in response to vaccines. Specific manifestations of gender differences in immune response have been documented in several studies. Females tend to have more robust immune responses due to greater generation of antibodies and a more robust T‐cell response. Further, females exhibit higher levels of antibody response, humoral response and cell‐mediated immune response to antigenic stimulation, vaccination and infection.  This higher vaccine reactogenicity is associated with higher basal and post‐vaccination IgG levels and increased B cell numbers and functions compared to men. , Finally, higher body fat content in females may reduce the distribution and clearance of medications. We found that existing comorbidities increased the likelihood of adverse reactogenic events. Physicians with “diabetes and hypertension” and “obesity and other complications” had a double risk of reactogenicity. A recent general‐population Bangladeshi study reported similar findings with an odds ratio of reactogenic symptoms after the first vaccine dose of 1.8 for participants with comorbidities. An Ethiopian study of HCPs also found that the presence of comorbidities doubled the risk of reactogenicity. Despite an increased risk of adverse vaccine reactions, people with underlying medical conditions are also at increased risk of COVID‐19 infections.  The World Health Organization (WHO) Strategic Advisory Group of Experts (SAGE) on Immunization clinical trials with the Oxford‐AstraZeneca (Covishield) vaccine (AZD1222) concluded that people with comorbidities (obesity, cardiovascular disease, respiratory disease and diabetes) had an increased risk of severe COVID‐19. For most people with comorbidities, the benefits of COVID‐19 vaccination outweigh the risks of adverse events. In Appendix 1, we list the adverse events reported by respondents in the ‘other’ categories. Earlier studies have not revealed some of these infrequent adverse events (e.g., cracked teeth, meningismus, severe eye pain, menstrual irregularities including spotting, excessive menstrual bleeding, decreased urine output and hematuria). Because these are idiosyncratic events, their clinical significance is unclear. We present four case studies of clinically significant adverse events (Appendix 2). One of the surveyed physicians complained of sudden vertigo and lost consciousness for a few seconds which occurred 2.5 h following vaccination. After regaining consciousness, ECG suggested acute myocardial infraction, and the physician required surgical intervention for blockage in the left anterior descending artery. Another physician reported menstrual irregularities with spotting lasting for 15 days. Severe neck pain and severe pain while walking (spasm of bilateral quadriceps muscles) were experienced by another physician. The last case study describes the experience of vertigo and orthostatic hypotension starting immediately after vaccination and persisting for 3 days. These unusual complications should be carefully documented, but their relationship to immunization is not established. Similarly, a UK‐based phase 2/3 trial identified 13 serious adverse events (SAEs), but none were established to be related to vaccination.  Voysey et al. reported 175 SAEs occurring in 168 of 11,636 participants, of which only three events were shown to be related to vaccination.

Study limitations

Because of sampling limitations, there is a possibility that survey results might not generalize to the entire HCP population of Bangladesh. However, since all participants were physicians, we believe that their reporting of reactogenicity is exceptionally accurate. This study design explicitly does not address the general population. Broader multicentric studies are required to obtain a true picture of reactogenicity in the general population after both or booster doses of vaccination. Additionally, we evaluated only short‐term reactogenicity, and surveillance will be needed to determine possible long‐term effects of vaccination. More robust probability sampling will provide better understanding of prevalence and underlying causes of reactogenic and other adverse vaccination‐related events.

CONCLUSION

The majority of vaccine recipients in our study reported reactogenicity, but symptoms were mild and of short duration. The most common reactogenic symptoms were pain at the injection site and tiredness. Reactogenicity was reported more frequently among females and younger age groups. Vaccine recipients and healthcare staff should be aware of possible reactogenicity and management protocols to ensure that vaccination benefits are maximized relative to risks. Further studies on vaccine safety are required for monitoring and to assure the public regarding safety of available vaccines.

CONFLICT OF INTEREST

The authors have no conflict of interest to declare.

AUTHOR CONTRIBUTIONS

Majumder MAA, Lutfor AB, Razzaque MS, Alam ABMM: planned & designed the study. Lutfor AB, Alam ABMM, Majumder MAA, Siddiqui MTH, Nessa K, Khondoker MU, Rahman M, Saha N, Jahan F, Ivy R, Islam R, Haider Y, Haque M, Omar E, Ahmed SMM, Reza AMS, Daud AKM, Choudhury MUA, Hossain MA, Rahman S, Pappu AM: actively collected the data. Majumder MAA, Lutfor AB, Razzaque MS, Mashreky SR, Rahman S, Rabbi AMF, Wahab A: wrote the manuscript. Rabbi AMF, Mashreky SR, Wahab A, Majumder MAA: analyzed the data. Hinkson‐Lacorbiniere K: developed the original questionnaire and edited the manuscript. Majumder MAA, Lutfor AB, Razzaque MS, Mashreky SR, Rahman S, Rabbi AMF & Wahab A: Modified the questionnaire. Campbell MH: critically read the manuscript, edited the manuscript & provided useful suggestions on data analysis. All authors: critically reviewed the manuscript and approved the final draft. Majumder MAA, Lutfor AB, MuAlam ABMM have full access to all the data and take responsibility for the integrity of the data.

Vertigo (n = 3)

Orthostatic hypotension (n = 1)

Myalgia (n = 2)

Severe backache (n = 2)

Cracked teeth (n = 1)

Muscle cramp (n = 2)

joint pain (n = 2)

Sore throat (n = 2)

Meningismus (n = 1)

Severe eye pain (n = 1)

Severe back ache radiating to both legs (n = 1)

Dizziness (n = 1)

Abdominal pain (n = 1)

Menstrual irregularities including spotting (n = 1)

Excessive menstrual bleeding (n = 1)

Decreased urine output (n = 1)

Migraine (n = 1)

Palpitation (n = 2)

Hematuria (n = 1)

Severe thirst (n = 1)

Unconsciousness (n = 1)

Case study 1

Age: 63 years

Gender: Male

Co‐morbidity: Diabetes

Vaccine status: First dose only

The participant received the vaccine at about 11 a.m. on 13.02.2021. About 2.5 h later, he had sudden vertigo with the tingling whole of the left upper extremity and immediately became unconscious for a few seconds. After gaining consciousness, he had severe bouts of vomiting. The participant had no chest pain, no compression chest, no dyspnoea, but exhibited profuse sweating. Tingling left upper extremity was persisting. He had an ECG with very high ST elevations suggesting acute myocardial infarction (AMI). He took Ecosprin 4, clopidogrel 4, Emistat 1 & anti‐ulcerent. He then was rushed to Dhaka (capital city). On his way, initially, he felt chest compression and took Nitroglycerin sublingually. When he arrived in Dhaka, all of his discomforts disappeared, and he started to feel quite better. He had an angiogram which revealed two long segment blocks in the left anterior descending artery. Two days later, two stentings were done, and the patient returned home 2 days after surgery.

Past history: He never had any dyspnoea, chest pain, compression, any sudden sweating or discomfort on going up (4 to 7/8 stairs at stress). He was a chain smoker of 20+ sticks/day. He was taking no medicine to control diabetes, which was always 10–14 mmol/L since 2006. He was not on exercise for diabetes mellitus.

Case study 2

Age: 28 years

Gender: Female

Co‐morbidity: No illness

Vaccine status: First dose only

Her menstrual cycle changed. The menstrual cycle started 15 days after vaccination and lasted for 15 days. She had not experienced this previously. She was also experiencing spotting.

Case study 3

Age: 30 years

Gender: Male

Co‐morbidity: Nonalcoholic fatty liver disease

Vaccine status: Taken both dosages

The participant experienced severe neck pain and had severe pain and spasms of the bilateral quadriceps muscles, causing unbearable pain while walking. The pain was relieved by hot compression, analgesics and topical Vollygel (diclofenac gel) application on affected muscles.

Case study 4

Age: 34 years

Gender: Male

Co‐morbidity: No illness

Vaccine status: Taken both dosages

The respondent experienced vertigo and orthostatic hypotension, which started immediately after vaccination and lasted for 3 days.

  26 in total

1.  Non-life-threatening adverse reactions from COVID-19 vaccine; a cross-sectional study with self-reported symptoms among Ghanaian healthcare workers.

Authors:  Dorcas Serwaa; Felix Osei-Boakye; Charles Nkansah; Selasie Ahiatrogah; Emmanuel Lamptey; Ratif Abdulai; Maxwell Hubert Antwi; Eric Yaw Wirekoh; Ernest Owusu; Tonnies Abeku Buckman; Mark Danquah
Journal:  Hum Vaccin Immunother       Date:  2021-09-21       Impact factor: 4.526

2.  Age-associated changes in the impact of sex steroids on influenza vaccine responses in males and females.

Authors:  Tanvi Potluri; Ashley L Fink; Kristyn E Sylvia; Santosh Dhakal; Meghan S Vermillion; Landon Vom Steeg; Sharvari Deshpande; Harish Narasimhan; Sabra L Klein
Journal:  NPJ Vaccines       Date:  2019-07-12       Impact factor: 7.344

3.  Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK.

Authors:  Merryn Voysey; Sue Ann Costa Clemens; Shabir A Madhi; Lily Y Weckx; Pedro M Folegatti; Parvinder K Aley; Brian Angus; Vicky L Baillie; Shaun L Barnabas; Qasim E Bhorat; Sagida Bibi; Carmen Briner; Paola Cicconi; Andrea M Collins; Rachel Colin-Jones; Clare L Cutland; Thomas C Darton; Keertan Dheda; Christopher J A Duncan; Katherine R W Emary; Katie J Ewer; Lee Fairlie; Saul N Faust; Shuo Feng; Daniela M Ferreira; Adam Finn; Anna L Goodman; Catherine M Green; Christopher A Green; Paul T Heath; Catherine Hill; Helen Hill; Ian Hirsch; Susanne H C Hodgson; Alane Izu; Susan Jackson; Daniel Jenkin; Carina C D Joe; Simon Kerridge; Anthonet Koen; Gaurav Kwatra; Rajeka Lazarus; Alison M Lawrie; Alice Lelliott; Vincenzo Libri; Patrick J Lillie; Raburn Mallory; Ana V A Mendes; Eveline P Milan; Angela M Minassian; Alastair McGregor; Hazel Morrison; Yama F Mujadidi; Anusha Nana; Peter J O'Reilly; Sherman D Padayachee; Ana Pittella; Emma Plested; Katrina M Pollock; Maheshi N Ramasamy; Sarah Rhead; Alexandre V Schwarzbold; Nisha Singh; Andrew Smith; Rinn Song; Matthew D Snape; Eduardo Sprinz; Rebecca K Sutherland; Richard Tarrant; Emma C Thomson; M Estée Török; Mark Toshner; David P J Turner; Johan Vekemans; Tonya L Villafana; Marion E E Watson; Christopher J Williams; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2020-12-08       Impact factor: 79.321

4.  Adverse Reactions Following the First Dose of ChAdOx1 nCoV-19 Vaccine and BNT162b2 Vaccine for Healthcare Workers in South Korea.

Authors:  Seongman Bae; Yun Woo Lee; So Yun Lim; Ji Hyang Lee; Joon Seo Lim; Sojeong Lee; Soyeon Park; Sun Kyung Kim; Young Ju Lim; Eun Ok Kim; Jiwon Jung; Hyouk Soo Kwon; Tae Bum Kim; Sung Han Kim
Journal:  J Korean Med Sci       Date:  2021-05-03       Impact factor: 2.153

5.  Adverse Events Following Immunization Associated with Coronavirus Disease 2019 Vaccination Reported in the Mobile Vaccine Adverse Events Reporting System.

Authors:  Minji Jeon; Jehun Kim; Chi Eun Oh; Jin Young Lee
Journal:  J Korean Med Sci       Date:  2021-05-03       Impact factor: 2.153

6.  COVID-19 Vaccine: Side Effects After the First Dose of the Oxford AstraZeneca Vaccine Among Health Professionals in Low-Income Country: Ethiopia.

Authors:  Yoseph Solomon; Tewodros Eshete; Bersabeh Mekasha; Wubshet Assefa
Journal:  J Multidiscip Healthc       Date:  2021-09-16

7.  A prospective observational safety study on ChAdOx1 nCoV-19 corona virus vaccine (recombinant) use in healthcare workers- first results from India.

Authors:  Upinder Kaur; Bisweswar Ojha; Bhairav Kumar Pathak; Anup Singh; Kiran R Giri; Amit Singh; Agniva Das; Anamika Misra; Ashish Kumar Yadav; Sangeeta Kansal; Sankha Shubhra Chakrabarti
Journal:  EClinicalMedicine       Date:  2021-07-23

8.  Safety of ChAdOx1 nCoV-19 Vaccine: Independent Evidence from Two EU States.

Authors:  Abanoub Riad; Andrea Pokorná; Mohamed Mekhemar; Jonas Conrad; Jitka Klugarová; Michal Koščík; Miloslav Klugar; Sameh Attia
Journal:  Vaccines (Basel)       Date:  2021-06-18

9.  Adverse reactions to Pfizer-BioNTech vaccination of healthcare workers at Malta's state hospital.

Authors:  Sarah Cuschieri; Michael Borg; Steve Agius; Jorgen Souness; Andre Brincat; Victor Grech
Journal:  Int J Clin Pract       Date:  2021-07-19       Impact factor: 3.149

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.