COVID-19 Vaccine Does Not Increase the Risk of Disease Flare-Ups among Patients with Autoimmune and Immune-Mediated Diseases
by
, , ,
Larisa Pinte
1,2,*
,
Florentina Negoi
2,
Georgeta Daniela Ionescu
2,
Simona Caraiola
1,2,
Daniel Vasile Balaban
1,3
,
Camelia Badea
1,2,
Diana Mazilu
1,4,
Bianca Dumitrescu
1,5,
Bogdan Mateescu
1,2,
Ruxandra Ionescu
1,4,
Magda Ileana Parvu
2 and
Cristian Baicus
1,2
1
Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
2
Internal Medicine, Rheumatology and Gastroenterology Departments, Colentina Clinical Hospital, 072202 Bucharest, Romania
3
Gastroenterology and Internal Medicine Departments, Dr. Carol Davila Central Military Emergency University Hospital, 01082 Bucharest, Romania
4
Rheumatology and Internal Medicine Departments, Sf. Maria Clinical Hospital, 011172 Bucharest, Romania
5
Rheumatology Department, Ion Stoia Clinical Centre of Rheumatic Diseases, 030167 Bucharest, Romania
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2021, 11(12), 1283; https://doi.org/10.3390/jpm11121283
Submission received: 3 November 2021
/
Revised: 18 November 2021
/
Accepted: 28 November 2021
/
Published: 2 December 2021
(This article belongs to the Special Issue COVID-19 Vaccination: Clinical Response, Influencing Factors, Development Prospects)
Abstract
:Background: Reports describing post-vaccine autoimmune phenomena, in previously healthy individuals, increased the concerns regarding the risk of disease flare-ups in patients with immune diseases. We aimed to assess the potential risk of disease flare-up, after receiving the COVID-19 (Coronavirus disease 2019) vaccine, during a follow-up period of 6 months. Methods: We performed a prospective cohort study, enrolling the patients with autoimmune- and immune-mediated diseases who voluntarily completed our questionnaire, both online and during hospital evaluations. Based on their decision to receive the vaccine, the patients were divided into two groups (vaccinated and non-vaccinated). Participants who chose not to receive the vaccine served as a control group in terms of flare-ups. Results: A total of 623 patients, 416 vaccinated and 207 non-vaccinated, were included in the study during hospital evaluations (222/623) and after online (401/623) enrolment. There was no difference concerning the risk of flare-up between vaccinated and non-vaccinated patients (1.16, versus 1.72 flare-ups/100 patients-months, p = 0.245). The flare-ups were associated with having more than one immune disease, and with a previous flare-up during the past year. Conclusions: We did not find an increased risk of flare-up following COVID-19 vaccination in patients with autoimmune-/immune-mediated diseases, after a median follow-up of 5.9 months. According to our results, there should not be an obvious reason for vaccine hesitancy among this category of patients.
Keywords:
COVID-19; SARS-CoV-2; vaccine; autoimmune; immune-mediated diseases; flare-up; disease activity; safety1. Introduction
The last recommendations published by The European League Against Rheumatism (EULAR) support vaccination in patients with autoimmune and immune-mediated diseases (AID-IMD) during the quiescent phase of the disease and before starting immunosuppressive treatment if possible [1]. It is well known that the rate of vaccination is suboptimal in these patients, attributed to low rates of referral for vaccination [2] and concerns related to disease flare-up. Until now, epidemiological studies did not support the hypothesis that vaccines may reactivate or may induce AID-IMD [3]. There were reported a few cases of Guillain–Barre syndrome after Influenza vaccine and rare cases of systemic lupus erythematosus exacerbation after papilloma vaccination [4,5]. Due to the risk of COVID-19 (Coronavirus disease 2019) infection, AID-IMD patients were included in the second line of vaccination. However, this decision caused concerns regarding the COVID-19 vaccine’s safety and its effect on disease activity. After the vaccination begun in a large population, case series of post-vaccine immune phenomena were published [6,7]. Disease flare-up in patients with AID-IMD in clinical remission was reported [8,9]. Providing reliable study results concerning this subject is important for future research prospects.
The aim of the study was to assess the potential risk of disease flare-up in AID-IMD patients after receiving the COVID-19 vaccine, during a follow-up period of 6 months.
2. Materials and Methods
We performed a prospective cohort study, enrolling the patients on the basis of a questionnaire handled both online, via a Survey Monkey link posted on social media patient groups, as well as in person during regular face-to-face evaluations, and including all consecutive patients presenting to four participant tertiary care centers, from 5 February until 7 May 2021. The questions gathered data regarding demographics, disease activity and treatment, as well as details on post-vaccine adverse events and flare-ups. Subjects were asked to provide their telephone number as ID and follow-up contact information. We adhered to Strengthening the Reporting of Observational Studies in Epidemiology reporting guidelines [10]. The study was conducted in accordance with the General Data Protection Regulation of the European Union, applied from 25 May 2018, and approved by the Ethics committee of Colentina Clinical Hospital (3/08.02.2021). Filling out of the questionnaire was conducted after reading the information page on the survey, which implied the informed consent for the inclusion in the study. The flow diagram of the study is presented in Figure 1.
2.1. Participants
Based on their decision to receive the vaccine, the patients were divided into two groups (vaccinated and non-vaccinated). The same questions were addressed to both groups as they were monitored by telephone every 2 months for increases in their disease activity and vaccine-related adverse effects. Participants who chose not to receive the vaccine served as a control group in terms of flare-ups. The patients who decided to receive the vaccine during the follow-up period were included in the vaccinated group, beginning with the vaccination time (first dose). The follow-up period started from the date of the first dose (for the vaccinated group) or from enrolment (for the non-vaccinated group), and lasted until the flare-up was reported or, in the absence of flare-up, until the last evaluation.
We considered the patients to be lost to follow-up if they: (a) withdrew their consent to participate in the research, or (b) did not respond to two consecutive telephone visits including the last one.
The primary outcome measure was the time to first flare, while secondary outcomes included incidence of flare-ups between the two groups (vaccinated and non-vaccinated), as well as vaccine-related adverse effects.
A flare-up was defined as typical symptoms of increase in disease activity that were associated with one of the following: (a) hospital admission, (b) inflammation and biological indicators, and/or (c) treatment adjustments (increase in dose, frequency, or type of medication).
We also documented the timespan from the diagnosis of the immune pathology until enrolment as well as flare-ups reported in the year prior to vaccination/enrolment.
2.2. Data Sources/Measurement
The same questions were addressed to both groups (vaccinated and non-vaccinated). Flare-up prior to vaccination or enrolment was measured based on the date provided by the patients upon enrolment. The clinical and biological features evaluated in order to establish an increase in disease activity were addressed based on the disease activity scales currently used for each pathology, and were included in the study as a Supplementary File.
2.3. Sample Size
With an estimated flare-up incidence in the control group of 5%, we calculated a sample size of 868 patients able to detect a difference to an incidence of at least twice that in the vaccinated group, with an alpha error of 5% and a beta error of 20%.
2.4. Data Analysis
Variables with a non-Gaussian distribution were reported as median (min, max) and assessed using nonparametric tests (Mann–Whitney U test). The nominal variables were reported as number (%), and compared by X2 test, or Fisher’s exact test when appropriate. The time until flare-up in the two groups was compared by the Log Rank test in bivariate analysis, and by the Cox model in multivariable analysis. In the multivariable model, the variables associated with flare-ups with a p-value ≤ 0.10 were introduced, and the regression was ruled stepwise and backward in order to highlight the potential suppressors [11]. Microsoft Excel 2018 (Microsoft Corporation, USA) and IBM SPSS Statistics for Windows, version 20 (IBM Corp., Armonk, NY, USA) were used. p values <0.05 were considered statistically significant.
3. Results
A total of 651 surveys were considered potentially eligible, 232 gathered during medical visits and 419 collected online. After eligibility assessment, a total of 623 patients, 416 vaccinated and 207 non-vaccinated, were included in the study.
The vaccinated group consisted mostly of patients enrolled online (299, 71.9%), the majority being women (339/416, 81.5%), with a median age of 50 years (21, 88). The non-vaccinated group included mostly patients enrolled during hospital evaluations, mostly women (183/207, 88.4%), with a median age of 48 years (19, 73).
The types of COVID-19 vaccines administered were Comirnaty (BioNTech/Pfizer, Germany, Mainz) (86%), Vaxzevria (Oxford/AstraZeneca, Nijmegen, Netherlands) (9%), Spikevax (Moderna Biotech, Cambridge, USA) (3%), and Janssen vaccine (Johnson & Johnson, Leiden, Netherlands) (2%).
There was no difference between the two groups in terms of age, comorbidities, number of autoimmune diseases associated, and years from disease diagnosis or disease flare-up during the year prior vaccination/enrolment. Having an autoimmune rheumatic and musculoskeletal disease (AIRD), or taking corticosteroids, synthetic disease-modifying anti-rheumatic drugs (DMARDs) or azathioprine decreased the immunization rate.
More than half (250, 60.7%) of the participants had already received the first dose before enrolling in the study.
The distribution of the variables in the flare-up and non-flare-up groups as well in the vaccinated/non-vaccinated groups are presented in Table 1.
Top symptoms after vaccine administration included pain at injection site, fatigue, headache, chills, joint pain, and myalgia. Overall, no specific difference between AIRD and non-AIRD patients was observed in terms of adverse events. Apart from one patient who developed anaphylactic shock after the second dose, no other life-threatening events were observed. The reported adverse effects were self-limiting and none of them required hospitalization or a change in the immunomodulatory therapy. The top symptoms reported after each dose are listed in Table 2.
A total of 31 participants (7.5%) reported stopping their background medication before vaccination in order to optimize vaccine immunogenicity. There was no difference concerning the risk of flare-up between the patients who stopped their treatment, and those who did not (4/31 versus 21/385, p = 0.105).
The median follow-up time was 180 days (min = 8, max = 246): 187 days (8, 246) in vaccinated patients, versus 170 days (16, 237) in non-vaccinated patients, p < 0.001.
During the follow-up period, a total of 42 flare-ups were reported, 25/416 (6%) in the vaccinated group and 17/207 (8%) in the non-vaccinated group, p = 0.302.
In addition, there was no significant difference concerning the types of COVID-19 vaccines administrated in terms of flare-up development: Comirnaty (BioNTech/Pfizer) (19/359, 5%), Vaxzevria (Oxford/AstraZeneca) (4/37, 11%) or Spikevax (Moderna Biotech) (2/12, 17%), p = 0.43.
Three of the 25 flare-ups were reported after receiving the first dose, while the rest developed after the second dose. The three flare-ups reported after the first dose started on days 8, 10 and 12, respectively. Furthermore, 16% (4/25) of the flare-ups started on day 2, 16% (4/25) between days 14 and 21 and 56% (14/25) 21 days after the second dose. The length of flare-up was <7 days in 30% of the patients, 8–21 days in 22% of the patients and >30 days in 48% of the patients. However, there was no difference regarding the median length of flare-up between the two groups: 30 days (4, 149) in the vaccinated and 27.5 days (14, 164) in the non-vaccinated patients, p = 0.803.
The incidence-densities of the flare-ups in the vaccinated and non-vaccinated groups were 1.16 and 1.72/100 patients-months, respectively (p = 0.245, Log Rank test) (Figure 2).
4. Discussion
Reports describing post-vaccine autoimmune phenomena, such as Guillain–Barre syndrome, thrombotic thrombocytopenia, myocarditis and hyper-inflammatory pathologies [12,13], in previously healthy individuals, increased the concerns regarding the risk of disease flare-up development.
Since pilot studies that allowed the marketing authorization for Spikevax (Moderna Biotech) and Janssen COVID-19 vaccines excluded immunosuppressed subjects, and only 0.3% of the participants in the Comirnaty (BioNTech/Pfizer)clinical trials had rheumatic diseases [14], official data regarding vaccine safety was lacking.
Despite all concerns, receiving the COVID-19 vaccine did not increase the risk of flare-ups among patients with autoimmune-/immune-mediated diseases, according to our results.
We did not find an increased risk of flare-up following COVID-19 vaccination in AID-IMD patients, after a median follow-up of 5.9 months (180 days).
In addition, various studies including the preliminary data from the EULAR COVID-19 Vaccination Registry [15] showed an acceptable safety profile for COVID-19 vaccines, showing no evidence of significant disease flare-ups across different AID-IMD [16,17,18,19].
Since the association between vaccination and flare-ups was not significant, we looked for a possible suppressor variable which should have been associated simultaneously with the outcome (flare), and the risk factor (vaccination), and only corticotherapy met this criterion. We adjusted for corticotherapy (both as a quantitative variable (dosage) and as a nominal variable (corticotherapy yes/no)), but this did not affect the relation between vaccination and flare. We adjusted also for the other potential confounders, which were associated with flare-up with a p ≤ 0.10 (Table 1). In fact, corticotherapy was not associated anymore with flare-ups, after we adjusted for having a flare-up in the previous year.
However, vaccine-related decisions regarding background medication adjustments should be approached from a risk–benefit perspective.
The main strength of the study is that it evaluates vaccine safety in terms of flare-ups among AID-IMD patients comparing the vaccinated and non-vaccinated AID-IMD individuals. As we know, the previous studies only presented the incidences of flare-ups among the vaccinated patients, while this is the first study including a control cohort (patients not vaccinated).
Another strength is the medium-term follow-up (median, 5.9 months). Nevertheless, based on the results published until now, it appears that most of the flare-ups usually occurred in the first week following vaccine administration [20,21]; as such, post-vaccination long-term follow-up might not be required. The fact that almost half of the flare-ups reported in our study developed 21 days after vaccine administration raises the possibility that not all of them were vaccine associated.
This study is limited by the observational design and the convenience heterogeneous sample obtained by enrolling patients with a wide spectrum of autoimmune /immune-mediated diseases. Several systemic autoimmune diseases, such as systemic lupus erythematosus, systemic sclerosis and autoimmune thyroid disease, are included statistically less often in the group of vaccinated patients, but this only means that, for a number of diseases, the number of exposed patients is larger than the number of non-exposed, a fact which does not influence the results. A real limitation of the study is that it has no statistical power to draw conclusions for the diseases that had a small number of included patients, but results could be drawn for the autoimmune and immune-mediated diseases in general, which was the objective of this study.
There were more vaccinated patients among those recruited by internet (possibly because they might have been younger, and more educated/high internet users), but the incidence of flare-ups was the same among all the patients, regardless the mean of recruitment. In order to be a confounding factor, an independent variable has to be associated with the outcome (here, the flare). In our study, neither the vaccination status, nor the gender or the enrolment mean were associated with the outcome in bivariate analysis, so we did not need to adjust for gender or enrolment mean in the multivariable analysis.
Furthermore, most of the patients received the Comirnaty (BioNTech/Pfizer) vaccine; as such, a comparative analysis between vaccine types could not be performed.
Another limitation of the study is that flare-ups were self-reported, and the flare-up-related data were not objectively presented by healthcare providers. However, in order to avoid differential misclassification, telephone interviews were performed by specially trained staff who addressed the same follow-up questions to all participants and classified the flare–ups based on the objective criteria previously described in the methods section (the Disease activity evaluation chart is available in the Supplementary Materials).
5. Conclusions
We did not find an increased risk of flare-up following COVID-19 vaccination in patients with autoimmune-/immune-mediated diseases, after a median follow-up of 5.9 months.
According to our results, there should not be an obvious reason for vaccine hesitancy among patients with autoimmune and immune-mediated diseases.
Supplementary Materials
Author Contributions
Conceptualization, L.P. and C.B. (Cristian Baicus); Data curation, L.P., S.C., C.B. (Camelia Badea), D.M., G.D.I., B.D., B.M. and R.I.; Formal analysis, L.P. and C.B. (Cristian Baicus); Investigation, L.P., S.C., D.V.B., G.D.I., F.N., R.I. and C.B. (Cristian Baicus); Methodology, L.P., S.C., B.M., M.I.P. and C.B. (Cristian Baicus); Project administration, L.P., F.N. and C.B. (Cristian Baicus); Resources, L.P., S.C., D.V.B., C.B. (Camelia Badea), D.M., G.D.I., F.N., B.D., B.M., R.I. and M.I.P.; Software, L.P. and C.B. (Cristian Baicus); Supervision, L.P. and C.B. (Cristian Baicus); Validation, L.P., C.B. (Camelia Badea), M.I.P. and C.B. (Cristian Baicus); Visualization, L.P. and C.B. (Cristian Baicus); Writing—original draft, L.P.; Writing—review and editing, L.P., S.C., D.V.B., D.M., B.D. and C.B. (Cristian Baicus). All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Ethics Committee of Colentina Clinical Hospital (3/08.02.2021).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study. Patients in whom the survey was applied during face-to-face evaluations were enrolled after signing the informed consent. For respondents who accessed the survey online, consent to participate in the research was given by reading the introductory paragraph and opening the questionnaire items.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Furer, V.; Rondaan, C.; Heijstek, M.W.; Agmon-Levin, N.; Van Assen, S.; Bijl, M.; Breedveld, F.C.; D’Amelio, R.; Dougados, M.; Kapetanovic, M.C.; et al. 2019 update of EULAR recommendations for vaccination in adult patients with autoimmune inflammatory rheumatic diseases. Ann. Rheum. Dis. 2019, 79, 39–52. [Google Scholar] [CrossRef]
- Ng, B.; McBain, L.; Grainger, R. Rheumatologists fail to advise people with RA to get immunised, which matters if you are under 65: An audit in a New Zealand rheumatology service. N. Z. Med. J. 2016, 129, 27906921. [Google Scholar]
- Dudley, M.Z.; Halsey, N.A.; Omer, S.B.; Orenstein, W.A.; O’Leary, S.T.; Limaye, R.J.; Salmon, D.A. The state of vaccine safety science: Systematic reviews of the evidence. Lancet Infect. Dis. 2020, 20, e80–e89. [Google Scholar] [CrossRef]
- Segal, Y.; Calabrò, M.; Kanduc, D.; Shoenfeld, Y. Human papilloma virus and lupus: The virus, the vaccine and the disease. Curr. Opin. Rheumatol. 2017, 29, 331–342. [Google Scholar] [CrossRef]
- Baker, B.; Guimarães, L.E.; Tomljenovic, L.; Agmon-Levin, N.; Shoenfeld, Y. The safety of human papilloma virus-blockers and the risk of triggering autoimmune diseases. Expert Opin. Drug Saf. 2015, 14, 1387–1394. [Google Scholar] [CrossRef]
- Ishay, Y.; Kenig, A.; Tsemach-Toren, T.; Amer, R.; Rubin, L.; Hershkovitz, Y.; Kharouf, F. Autoimmune phenomena following SARS-CoV-2 vaccination. Int. Immunopharmacol. 2021, 99, 107970. [Google Scholar] [CrossRef]
- Baimukhamedov, C. Arthritis of the left elbow joint after vaccination against SARS-CoV-2 infection. Int. J. Rheum. Dis. 2021, 24, 1218–1220. [Google Scholar] [CrossRef] [PubMed]
- Terracina, K.A.; Tan, F.K. Flare of rheumatoid arthritis after COVID-19 vaccination. Lancet Rheumatol. 2021, 3, e469–e470. [Google Scholar] [CrossRef]
- Li, X.; Tong, X.; Yeung, W.W.Y.; Kuan, P.; Yum, S.H.H.; Chui, C.S.L.; Lai, F.T.T.; Wan, E.Y.F.; Wong, C.K.H.; Chan, E.W.Y.; et al. Two-dose COVID-19 vaccination and possible arthritis flare among patients with rheumatoid arthritis in Hong Kong. Ann. Rheum. Dis. 2021. Epub ahead of print. [Google Scholar] [CrossRef] [PubMed]
- von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Obser-vational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Ann. Intern. Med. 2007, 147, 573–577. [Google Scholar] [CrossRef] [Green Version]
- Katz, M.H. Outcome variables in multivariable analysis. In Multivariable Analysis; Cambridge University Press (CUP): Cambridge, UK, 2011; pp. 25–73. [Google Scholar]
- Selected Adverse Events Reported after COVID-19 Vaccination|CDC. Available online: https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html (accessed on 22 September 2021).
- Baicus, C.; Delcea, C.; Pinte, L.; Dan, G.A. Hyper-inflammation after COVID-19 mARN vaccination: At the crossroads of multisystem inflammatory disease and adult-onset Still’s disease. Does terminology matter? Romanian J. Intern. Med. 2021. Epub ahead of print. [Google Scholar] [CrossRef]
- Negahdaripour, M.; Shafiekhani, M.; Moezzi, S.M.I.; Amiri, S.; Rasekh, S.; Bagheri, A.; Mosaddeghi, P.; Vazin, A. Administration of COVID-19 Vaccines in ImmunocompromisedPatients. Int. Immunopharmacol. 2021, 99, 108021. [Google Scholar] [CrossRef]
- Machado, P.M.; Lawson-Tovey, S.; Hyrich, K.; Carmona, L.; Gossec, L.; Mateus, E.; Strangfeld, A.; Raffeiner, B.; Goulenok, T.; Brocq, O.; et al. LB0002 COVID-19 Vaccine Safety in Patients with Rheumatic and Musculoskeletal Disease. Ann. Rheum. Dis. 2021, 80, 199–200. [Google Scholar] [CrossRef]
- Furer, V.; Eviatar, T.; Zisman, D.; Peleg, H.; Paran, D.; Levartovsky, D.; Zisapel, M.; Elalouf, O.; Kaufman, I.; Meidan, R.; et al. Immunogenicity and safety of the BNT162b2 mRNA COVID-19 vaccine in adult pa-tients with autoimmune inflammatory rheumatic diseases and in the general population: A multicentre study. Ann. Rheum. Dis. 2021, 80, 1330–1338. [Google Scholar] [CrossRef]
- Geisen, U.M.; Berner, D.K.; Tran, F.; Sümbül, M.; Vullriede, L.; Ciripoi, M.; Reid, H.M.; Schaffarzyk, A.; Longardt, A.C.; Franzenburg, J.; et al. Immunogenicity and safety of anti-SARS-CoV-2 mRNA vaccines in patients with chronic inflammatory conditions and immunosuppressive therapy in a monocentric cohort. Ann. Rheum. Dis. 2021, 80, 1306–1311. [Google Scholar] [CrossRef] [PubMed]
- Cherian, S.; Paul, A.; Ahmed, S.; Alias, B.; Manoj, M.; Santhosh, A.K.; Varghese, D.R.; Krishnan, N.; Shenoy, P. Safety of the ChAdOx1 nCoV-19 and the BBV152 vaccines in 724 patients with rheumatic diseases: A post-vaccination cross-sectional survey. Rheumatol. Int. 2021, 41, 1441–1445. [Google Scholar] [CrossRef]
- Di Filippo, M.; Cordioli, C.; Malucchi, S.; Annovazzi, P.; Cavalla, P.; Clerici, V.T.; Ragonese, P.; Nociti, V.; Radaelli, M.; Laroni, A.; et al. mRNA COVID-19 vaccines do not increase the short-term risk of clinical relapses in multiple sclerosis. J. Neurol. Neurosurg. Psychiatry 2021. Epub ahead of print. [Google Scholar] [CrossRef] [PubMed]
- Watad, A.; De Marco, G.; Mahajna, H.; Druyan, A.; Eltity, M.; Hijazi, N.; Haddad, A.; Elias, M.; Zisman, D.; Naffaa, M.; et al. Immune-Mediated Disease Flares or New-Onset Disease in 27 Subjects Following mRNA/DNA SARS-CoV-2 Vaccination. Vaccines 2021, 9, 435. [Google Scholar] [CrossRef] [PubMed]
- Barbhaiya, M.; Levine, J.M.; Bykerk, V.P.; Jannat-Khah, D.; Mandl, L.A. Systemic rheumatic disease flares after SARS-CoV-2 vaccination among rheumatology outpatients in New York City. Ann. Rheum. Dis. 2021, 80, 1352–1354. [Google Scholar] [CrossRef]
- Wells, G.; Becker, J.-C.; Teng, J.; Dougados, M.; Schiff, M.; Smolen, J.; Aletaha, D.; Van Riel, P.L.C.M. Validation of the 28-joint Disease Activity Score (DAS28) and European League Against Rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate. Ann. Rheum. Dis. 2008, 68, 954–960. [Google Scholar] [CrossRef]
- Arora, S.; Isenberg, D.A.; Castrejon, I. Measures of Adult Systemic Lupus Erythematosus: Disease Activity and Damage. Arthritis Rheum. 2020, 72, 27–46. [Google Scholar] [CrossRef]
- Seror, R.; Ravaud, P.; Mariette, X.; Bootsma, H.; Theander, E.; Hansen, A.; Ramos-Casals, M.; Doerner, T.; Bombardieri, S.; Hachulla, E.; et al. EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI): Development of a consensus patient index for primary Sjögren’s syndrome. Ann. Rheum. Dis. 2011, 70, 968–972. [Google Scholar] [CrossRef]
- Medscape Home Page. Available online: https://reference.medscape.com/calculator/299/basdai (accessed on 27 October 2021).
- Louden, B.A.; Pearce, D.J.; Lang, W.; Feldman, S.R. A simplified psoriasis area severity index (SPASI) for rating psoriasis severity in clinic patients. Dermatol. Online J. 2004, 10, 7. [Google Scholar] [CrossRef] [PubMed]
- Schoels, M.M.; Aletaha, D.; Alasti, F.; Smolen, J.S. Disease activity in psoriatic arthritis (PsA): Defining remission and treatment success using the DAPSA score. Ann. Rheum. Dis. 2015, 75, 811–818. [Google Scholar] [CrossRef]
- Valentini, G.; Bencivelli, W.; Bombardieri, S.; D’Angelo, S.; Della Rossa, A.; Silman, A.J.; Black, C.M.; Czirjak, L.; Nielsen, H.; Vlachoyiannopoulos, P.G. European Scleroderma Study Group to define disease activity criteria for systemic sclerosis. III. Assessment of the construct validity of the preliminary activity criteria. Ann. Rheum. Dis. 2003, 62, 901–903. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- European Vasculitis Society Home Page. Available online: https://vasculitis.org/disease-scoring/ (accessed on 2 November 2021).
- Burns, T.M.; Conaway, M.; Sanders, D.B. The MG Composite. Neurology 2010, 74, 1434–1440. [Google Scholar] [CrossRef] [Green Version]
- Kaunzner, U.W.; Al-Kawaz, M.; Gauthier, S.A. Defining Disease Activity and Response to Therapy in MS. Curr. Treat. Options Neurol. 2017, 19, 20. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
The flow diagram of the study describing the methods: participant’s recruitment, inclusions, exclusions and follow-up.
Figure 1.
The flow diagram of the study describing the methods: participant’s recruitment, inclusions, exclusions and follow-up.
Figure 2.
The Kaplan–Meier curves for the flare-ups in the vaccinated and non-vaccinated groups.
Table 1.
The distribution of the variables in the flare-up and non-flare-up groups as well in the vaccinated/non-vaccinated groups.
Table 1.
The distribution of the variables in the flare-up and non-flare-up groups as well in the vaccinated/non-vaccinated groups.
| Patients with and without Flare | Vaccinated and Non-Vaccinated Patients | |||||||
|---|---|---|---|---|---|---|---|---|
| Flare-Up (n = 42) | Non-Flare-Up (n = 581) | p Value | Missing | Vaccinated (n = 416) | Non-Vaccinated (n = 207) | p Value | Missing | |
| Enrolled online | 31 (73.8%) | 30 (63.7%) | 0.243 | 299 (71.9%) | 102 (49.3%) | <0.001 | ||
| Vaccinared | 25 (59.5%) | 391 (67.3%) | 0.312 | - | - | - | ||
| Gender (F) | 37 (88.1%) | 485 (83.5%) | 0.522 | 339 (81.5%) | 183 (88.4%) | 0.028 | ||
| Age (y) | 46 (21, 83) | 49 (19, 88) | 0.126 | 50 (21, 88) | 48 (19, 73) | 0.290 | ||
| Immune disease and comorbidities | ||||||||
| Charlson index | 2 (0, 6) | 1 (0, 10) | 0.512 | 1 (0, 9) | 1 (0, 10) | 0.354 | ||
| More than one immune disease | 16 (38.1%) | 118 (20.3%) | 0.011 | 83 (20%) | 51 (24.6%) | 0.180 | ||
| Number of immune diseases/patient | 1 (1, 4) | 1 (1, 6) | 0.006 | 1 (1, 4) | 1 (1, 6) | 0.142 | ||
| Immune pulmonary involvement | 6 (14.3%) | 59 (10.2%) | 0.429 | 40 (9.6%) | 25 (12.1%) | 0.404 | ||
| AIRD 1 | 26 (61.9%) | 369 (63.5%) | 0.869 | 239 (57.5%) | 156 (75.4%) | <0.001 | ||
| Rheumatoid arthritis | 7 (16.7%) | 91 (15.7%) | 0.827 | 59 (14.2%) | 39 (18.8%) | 0.161 | ||
| Systemic lupus erythematosus | 9 (21.4%) | 88 (15.1%) | 0.273 | 48 (11.5%) | 49 (23.7%) | <0.001 | ||
| Sjögren’s syndrome/Sicca 2 | 7 (16.7%) | 71 (12.2%) | 0.466 | 50 (12%) | 28 (13.5%) | 0.608 | ||
| Ankylosing spondylitis | 2 (4.8%) | 63 (10.8%) | 0.298 | 48 (11.5%) | 17 (8.2%) | 0.214 | ||
| Psoriatic arthritis/psoriasis | 4 (9.5%) | 49 (8.4%) | 0.774 | 32 (7.7%) | 21 (10.1%) | 0.360 | ||
| Systemic sclerosis/limited scleroderma | 1 (2.4%) | 30 (5.2%) | 0.714 | 14 (3.4%) | 17 (8.2%) | 0.011 | ||
| Antiphospholipid syndrome | 3 (7.1%) | 22 (3.8%) | 0.234 | 12 (2.9%) | 13 (6.3%) | 0.051 | ||
| Systemic vasculitis | 2 (4.8%) | 15 (2.6%) | 0.320 | 8 (1.9%) | 9 (4.3%) | 0.114 | ||
| Other AIRD 3 | 1 (2.4%) | 14 (2.4%) | 1 | 9 (2.2%) | 6 (2.9%) | 0.586 | ||
| Non-AIRD | 16 (38.1%) | 212 (36.5%) | 0.869 | 177 (42.5%) | 51 (24.6%) | <0.001 | ||
| Inflammatory bowel disease | 5 (11.9%) | 39 (6.7%) | 0.207 | 34 (8.2%) | 10 (4.8%) | 0.138 | ||
| Celiac disease | 1 (2.4%) | 18 (3.1%) | 1 | 14 (3.4%) | 5 (2.4%) | 0.626 | ||
| Primary biliary cholangitis | 1 (2.4%) | 8 (1.4%) | 0.469 | 4 (1%) | 5 (2.4%) | 0.167 | ||
| Autoimmune hepatitis | 0 (0%) | 11 (1.9%) | 1 | 8 (1.9%) | 3 (1.4%) | 1 | ||
| Myasthenia gravis | 6 (14.3%) | 22 (3.8%) | 0.008 | 15 (3.6%) | 13 (6.3%) | 0.151 | ||
| Multiple sclerosis | 1 (2.4%) | 24 (4.1%) | 1 | 17 (4.1%) | 8 (3.9%) | 1 | ||
| Hematological diseases 4 | 1 (2.4%) | 4 (0.7%) | 0.295 | 4 (1%) | 1 (0.5%) | 1 | ||
| Cutaneous diseases 5 | 1 (2.4%) | 16 (2.8%) | 1 | 12 (2.9%) | 5 (2.4%) | 1 | ||
| Autoimmune thyroid disease | 9 (21.4%) | 128 (22%) | 1 | 109 (26.2%) | 28 (13.5%) | <0.001 | ||
| Other non-AIRD 6 | 6 (14.3%) | 44 (6.7%) | 0.136 | 40 (9.6%) | 10 (4.8%) | 0.042 | ||
| Treatment | ||||||||
| Corticosteroids | 16 (38.1%) | 120 (20.7%) | 0.012 | 71 (17.1%) | 65 (31.4%) | <0.001 | ||
| Corticosteroid dose (mg) | 10 (5, 45) | 10 (2,5, 40) | 0.015 | 29 | 6.25 (5, 20) | 10 (3, 45) | <0.001 | 29 |
| Synthetic DMARDs 7 | 12 (28.6%) | 226 (38.9%) | 0.194 | 143 (34.4%) | 95 (45.9%) | 0.007 | ||
| Hydroxychloroquine | 8 (19%) | 125 (21.5%) | 0.846 | 81 (19.5%) | 52 (25.1%) | 0.119 | ||
| Methotrexate | 2 (4.8%) | 64 (11%) | 0.298 | 42 (10.1%) | 24 (11.6%) | 0.582 | ||
| Sulfasalazine | 2 (4.8%) | 48 (8.3%) | 0.566 | 34 (8.2%) | 16 (7.7%) | 1 | ||
| Leflunomide | 1 (2.4%) | 20 (3.4%) | 1 | 10 (2.4%) | 11 (5.3%) | 0.096 | ||
| Biologic DMARDs 7 | 10 (23.8%) | 119 (20.6%) | 0.561 | 89 (21.4%) | 40 (19.4%) | 0.600 | ||
| Mycophenolate mofetil | 1 (2.4%) | 17 (2.9%) | 1 | 13 (3.1%) | 5 (2.4%) | 0.801 | ||
| Azathioprine | 5 (11.9%) | 40 (6.9%) | 0.216 | 23 (5.5%) | 22 (10.6%) | 0.031 | ||
| Flare-up-related variables | ||||||||
| Disease diagnosis-enrollement/vaccine (years) | 11 (1, 40) | 9 (0, 56) | 0.608 | 29 | 9 (0, 50) | 10 (0, 56) | 0.999 | 29 |
| Flare-up in the year prior enrolement/vaccination | 22 (73.3%) | 189 (47.4%) | 0.007 | 194 | 130 (46.8%) | 81 (53.6%) | 0.189 | 194 |
| Enrollment/vaccination-flare-up timelaps (months) | - | - | - | 6.13 (0, 8) | 5.57 (1, 8) | <0.001 | ||
| COVID-19 8 prior enrollement/vaccine | 4 (9.5%) | 81 (13.9%) | 0.640 | 75 (18%) | 10 (4.8%) | <0.001 | ||
| Adverse events after dose 1 | 24 (92.3%) | 283 (72.4%) | 0.022 | 307/416 | - | - | ||
| Adverse events after dose 2 | 21 (80.8%) | 252 (64.5%) | 0.134 | 273/416 | - | - | ||
| Treatment adjustment before vaccination | 4 (16%) | 27 (6.9%) | 0.105 | 31/416 | - | - | ||
| Treatment adjustment before flare | 3/42 (7.1%) | - | - | 1 (4%) | 2 (11.8%) | 0.556 | ||
| Average length of flare-up (days) | 30 (4, 164) | - | - | 4 | 30 (4, 149) | 27.5 (14, 164) | 0.803 | 4 |
| Still having flare-up at the last assessment | 19 (45.2%) | 18 (3.2%) | <0.001 | 21 | 18 (4.5%) | 19 (9.6%) | 0.018 | 21 |
| Flare-up management | ||||||||
| Hospitalization | 15/42 | - | - | 10/25 | 5/17 | - | ||
| Treatment adjustment | 36/42 | - | - | 21/25 | 15/17 | - | ||
1 AIRD—autoimmune rheumatic diseases; 2 Sicca-Sicca syndrome (xerostomia, xeroftalmia); 3 Other AIRD—dermatomyositis/polymyositis and mixed connective tissue disease; 4 Hematological diseases—hemolytic anemia, paroxysmal nocturnal hemoglobinuria, idiopathic thrombocytopenia; 5 Cutaneous diseases—vitiligo, cutaneous lupus, cutaneous vasculitis, pemphigus; 6 Other non AIRD—sarcoidosis, type-1 diabetes mellitus, hyper IgD syndrome; 7 DMARDs-disease-modifying anti-rheumatic drugs; 8 COVID-19-Coronavirus disease 2019. Statistical significant values are marked with Bold.
Table 2.
Top symptoms reported after the 1st and 2nd COVID-19 vaccine doses.
| 1st Dose (n = 416) | 2nd Dose (n = 407) | |||||||
|---|---|---|---|---|---|---|---|---|
| Non-AIRD 1 (n = 134, 75.7%) | AIRD (n = 173, 72.4%) | p Value (0.499) | Total Adverse Events (n = 307) | Non-AIRD (n = 125, 70.6%) | AIRD (n = 148, 61.9%) | p Value (0.076) | Total Adverse Events (n = 273) | |
| Pain in injection site | 81 (45.3%) | 99 (41.4%) | 0.485 | 180 | 86 (48%) | 82 (34.3%) | 0.005 | 168 |
| Local swelling | 9 (5%) | 6 (2.5%) | 0.192 | 15 | 6 (3.4%) | 4 (1.7%) | 0.338 | 10 |
| Local redness | 22 (12.3%) | 23 (9.6%) | 0.427 | 45 | 8 (4.5%) | 7 (2.9%) | 0.435 | 15 |
| Fatigue | 46 (25.7%) | 51 (21.3%) | 0.349 | 97 | 41 (22.9%) | 52 (21.8%) | 0.813 | 93 |
| Headache | 33 (18.4%) | 44 (18.4%) | 1 | 77 | 24 (13.4%) | 25 (10.5%) | 0.361 | 49 |
| Myalgia | 24 (13.4%) | 35 (14.6) | 0.777 | 59 | 25 (14%) | 25 (10.5%) | 0.289 | 50 |
| New/increased joint pain | 25 (14%) | 35 (14.7%) | 0.888 | 60 | 10 (5.6%) | 20 (8.4%) | 0.340 | 30 |
| Chills | 24 (13.4%) | 35 (14.6%) | 0.777 | 59 | 28 (15.6%) | 34 (14.5%) | 0.782 | 62 |
| Fever | 8 (4.5%) | 13 (5.4%) | 0.822 | 21 | 22 (12.3%) | 24 (10%) | 0.528 | 46 |
| Allergic reactions | 3 (1.7%) | 2 (0.8%) | 0.655 | 5 | 1 (0.6%) | 0 (0%) | 0.427 | 1 |
| Skin rash | 3 (1.7%) | 3 (1.3%) | 1 | 6 | 1 (0.6%) | 0(0%) | 0.428 | 1 |
| Anaphylactic shock | 0 (0%) | 0 (0%) | 0 | 0 | 0 (0%) | 1 (0.4%) | 1 | 1 |
| Lymphadenopathy | 4 (2.2%) | 5 (2.1%) | 1 | 9 | 5 (2.9%) | 4 (1.7%) | 0.501 | 9 |
| Paresthesia | 1 (0.6%) | 6 (2.5%) | 0.247 | 7 | 2 (1.2%) | 5 (2.1%) | 0.704 | 7 |
| Digestive symptoms | 4 (2.2%) | 5 (2.1%) | 1 | 9 | 7 (4%) | 12 (5%) | 0.813 | 19 |
| Dizziness | 2 (1.1%) | 7 (2.9%) | 0.311 | 9 | 6 (3.5%) | 6(2.5%) | 0.569 | 12 |
| Cough | 3 (1.7%) | 0 (0%) | 0.078 | 3 | 1 (0.6%) | 0 (0%) | 0.420 | 1 |
1 AIRD—autoimmune rheumatic diseases. Statistical significant values are marked with Bold.
Table 3.
Determinants of the flare-ups (Cox model).
| Variable | B | p | OR with 95%CI 1 |
|---|---|---|---|
| More than one immune disease | 0.667 | 0.079 | 1.9 (0.92–4.09) |
| Corticotherapy | 0.438 | 0.255 | 1.5 (0.73–3.3) |
| Vaccine | −0.630 | 0.094 | 0.53 (0.25–1.11) |
| Flare-up during the previous year | 0.972 | 0.019 | 2.64 (1.17–5.97) |
OR-odds ratio, CI 1-confidence interval.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Pinte, L.; Negoi, F.; Ionescu, G.D.; Caraiola, S.; Balaban, D.V.; Badea, C.; Mazilu, D.; Dumitrescu, B.; Mateescu, B.; Ionescu, R.; et al. COVID-19 Vaccine Does Not Increase the Risk of Disease Flare-Ups among Patients with Autoimmune and Immune-Mediated Diseases. J. Pers. Med. 2021, 11, 1283. https://doi.org/10.3390/jpm11121283
AMA Style
Pinte L, Negoi F, Ionescu GD, Caraiola S, Balaban DV, Badea C, Mazilu D, Dumitrescu B, Mateescu B, Ionescu R, et al. COVID-19 Vaccine Does Not Increase the Risk of Disease Flare-Ups among Patients with Autoimmune and Immune-Mediated Diseases. Journal of Personalized Medicine. 2021; 11(12):1283. https://doi.org/10.3390/jpm11121283
Chicago/Turabian StylePinte, Larisa, Florentina Negoi, Georgeta Daniela Ionescu, Simona Caraiola, Daniel Vasile Balaban, Camelia Badea, Diana Mazilu, Bianca Dumitrescu, Bogdan Mateescu, Ruxandra Ionescu, and et al. 2021. "COVID-19 Vaccine Does Not Increase the Risk of Disease Flare-Ups among Patients with Autoimmune and Immune-Mediated Diseases" Journal of Personalized Medicine 11, no. 12: 1283. https://doi.org/10.3390/jpm11121283
APA StylePinte, L., Negoi, F., Ionescu, G. D., Caraiola, S., Balaban, D. V., Badea, C., Mazilu, D., Dumitrescu, B., Mateescu, B., Ionescu, R., Parvu, M. I., & Baicus, C. (2021). COVID-19 Vaccine Does Not Increase the Risk of Disease Flare-Ups among Patients with Autoimmune and Immune-Mediated Diseases. Journal of Personalized Medicine, 11(12), 1283. https://doi.org/10.3390/jpm11121283
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
