Next Article in Journal
Development of an Effective Single-Dose PCV2/CSFV Bivalent Subunit Vaccine Against Classical Swine Fever Virus and Porcine Circovirus Type 2
Previous Article in Journal
Engaging Broader Stakeholders to Accelerate Group A Streptococcus Vaccine Development
Previous Article in Special Issue
Immunity Awareness—Strategies to Improve the Degree of Acceptance of Vaccines: A Systematic Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Long Term Outcomes of Anti-COVID-19 Vaccines in Patients with Systemic Lupus Erythematosus: A Multicentre Study

by
Giovanni Benanti
1,2,3,
Giuseppe A. Ramirez
1,3,4,*,
Tommaso Schioppo
3,5,
Lorenza Maria Argolini
3,6,
Gabriella Moroni
7,
Grazia Bonelli
8,
Renato Alberto Sinico
8,
Federico Alberici
9,
Federica Mescia
9,
Luca Moroni
1,3,4,
Gabriele D. Gallina
1,
Biancamaria Venerandi
1,4,
Francesco Tamborini
10,
Chiara Bellocchi
3,11,12,
Lorenzo Beretta
3,11,
Roberto Caporali
3,6,13,
Enrica Bozzolo
1,2,3,
Lorenzo Dagna
1,3,4 and
Maria Gerosa
3,6,13
1
Unit of Immunology, Rheumatology, Allergy and Rare Diseases, IRCCS Ospedale San Raffaele, 20132 Milan, Italy
2
Unit of General Medicine and Advanced Care, IRCCS Ospedale San Raffaele, 20132 Milan, Italy
3
SMILE (Milan Lupus Cohort), via Olgettina 60, 20132 Milan, Italy
4
Faculty of Medicine, Università Vita-Salute San Raffaele, 20132 Milan, Italy
5
Unit of Rheumatology, ASST Santi Paolo e Carlo, 20132 Milan, Italy
6
ASST Pini CTO, Lupus Clinic, Division of Clinical Rheumatology, 20122 Milan, Italy
7
Department of Biomedical Sciences, Humanitas University, IRCCS Humanitas Research Hospital, 20072 Milan, Italy
8
Renal Unit, Department of Medicine and Surgery, Università degli Studi di Milano Bicocca and ASST-Monza, 20900 Monza, Italy
9
Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25121 Brescia, Italy
10
Fondazione Ca’ Granda IRCCS Ospedale Maggiore Policlinico Milano, Divisione di Nefrologia e Dialisi, 20122 Milan, Italy
11
Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, Referral Centre for Systemic Autoimmune Diseases, 20122 Milan, Italy
12
Department of Clinical Science of Community Health, Section of Internal Medicine, Università degli Studi di Milano, 20122 Milano, Italy
13
Department of Clinical Science of Community Health and Research Center for Adult and Pediatric Rheumatic Diseases, Università degli Studi di Milano, 20122 Milano, Italy
*
Author to whom correspondence should be addressed.
Vaccines 2025, 13(7), 735; https://doi.org/10.3390/vaccines13070735
Submission received: 9 June 2025 / Revised: 30 June 2025 / Accepted: 3 July 2025 / Published: 8 July 2025
(This article belongs to the Special Issue Vaccination and Public Health in the 21st Century)

Abstract

Introduction: Systemic lupus erythematosus (SLE) is associated with infection-related morbidity. The risk of adverse outcomes secondary to infections was exacerbated during the recent COVID-19 pandemic, prompting mass vaccination with the novel mRNA-based and viral-vectored vaccines. Limited data exist on the long-term impact of vaccination in patients with SLE. Methods: A post-vaccine group (PVG, n = 284) from a multicentric cohort of vaccinated patients with SLE from six tertiary referral centres in Northen Italy was compared with a control group (CG, n = 223) of similar demographics observed in the 2015–2019 period to investigate survival, hospitalisation, pregnancy, disease flare, disease progression, infection, and chronic complication accrual rates. Results: We did not observe excess SLE flares, SLE progression, hospitalisation, or pregnancy complications in the PVG. Cardiovascular complications due to comorbidities or to SLE were lower in the PVG than in the CG. Infections were more frequent in the PVG, related to COVID-19 in half of the cases, and were associated with SLE flares. Conclusions: Taken together, these data indicate that anti-COVID-19 vaccines are safe in the long-term when administered to patients with SLE. Stable, non-null rates of chronic comorbidity accrual and hospitalisation point out the existence of persistently unmet needs in patients with SLE.

1. Introduction

The recent pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related disease (COVID-19) posed unprecedented challenges to our society, fuelling ongoing dynamics in communication, politics, and economics, highlighting existing flaws in welfare systems, and synergising with other global crises to affect individual prospects for the future, in addition to physical morbidity and mortality [1,2,3]. Patients with chronic disorders, including systemic autoimmune diseases, proved particularly vulnerable to the impact of the pandemic due to enhanced susceptibility to infections and their complications. Disruption of healthcare systems and accumulation of delays in waiting lists for first or control clinical assessments further exacerbated the pandemic burden for complex patients with one or more causes of morbidity [4,5,6].
Patients with systemic lupus erythematosus (SLE) were found at higher risk of COVID-19-related complications, especially in cases of higher-intensity immunosuppression with glucocorticoids [7,8,9]. Later studies revealed that at least part of this risk might be explained by the disproportionally high frequence of natural anti-type I interferon autoantibodies [10], a known risk factor for severe COVID-19 [11]. Indeed, infections, including COVID-19, are a major cause of morbidity and mortality for patients with SLE and constitute a frequent trigger for disease onset or exacerbation [12,13]. Accordingly, active immunisation through vaccines is highly recommended by national and international guidelines for SLE and other connective tissues diseases [14].
Vaccination played a crucial role in the resolution of the COVID-19 crisis. In fact, the rapid development of highly effective novel vaccination technologies such as mRNA vaccines and viral-vectored vaccines enabled active and widespread immunisation of the population, minimising the risk of unfavourable outcomes for vulnerable subjects and reducing the contagion chain [15,16,17]. Acute and chronic morbidity is significantly more frequent with COVID-19 than with anti-COVID-19 vaccines [18,19,20,21]. Nonetheless, the unprecedented, almost synchronic administration of these new drugs in the whole human population revealed the existence of a panel of potential vaccine-associated adverse events [19,22,23]. While the size of the vaccinated population was sufficiently high to justify the coincidental occurrence of the vast majority of these events as just the expression of basal risk rates [24], misinformation and the viral spread of unverified data synergised with existing trends of mistrust in public and/or academic institutions to foster vaccine hesitancy or fear in the general population [25,26,27,28].
This issue was particularly relevant in selected groups, such as those of patients with immune-mediated disorders. While being underrepresented in, or excluded from, vaccine registration trials, these patients were also potentially more prone to the development of adverse events potentially linked to dysfunctional immune response [29,30]. Observational studies from global registries or homogeneous cohorts have progressively filled this gap, providing initial evidence of short-term safety for anti-COVID-19 vaccination in multiple disease settings, including allergic and autoimmune disorders [31,32]. Limited data exist regarding potential adverse events occurring in the long-term in patients with rheumatic musculoskeletal diseases. To address this issue, we elected SLE as a paradigm of systemic autoimmune disorders and performed a long-term follow-up study in a cohort of vaccinated patients with SLE who were previously analysed in close temporal relation to the receipt of their first doses of anti-COVID-19 vaccines [33].

2. Materials and Methods

We leveraged on a well-characterised multicentre cohort of patients classified with SLE according to the EULAR/ACR 2019 criteria [34] and undergoing anti-COVID-19 vaccination between December 2020 and October 2021 [33]. This cohort comprises six tertiary referral centres for the treatment of systemic immune-mediated diseases, namely Lupus Clinic at Unit of Immunology, Rheumatology, Allergy and Rare Diseases, IRCCS Ospedale San Raffaele, Milan; Lupus Clinic, Clinical Rheumatology Division of ASST Pini-CTO, Milan; Renal and Rheumatology Units, San Gerardo Hospital, Monza; IRCCS Humanitas Research Hospital; ASST Spedali Civili, Brescia, Italy; and Referral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan. Retrospective follow-up data were collected until May 2024 upon written informed consent under the following protocols: “MLC protocol” (IRCCS Ospedale San Raffaele, ASST Pini CTO, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Ethics Committee Comitato Etico Milano Area 2; approval number 0002450/2020 and San Raffaele Hospital Ethics Committee, approval number 84/INT/2019), protocol NEF0032023 (IRCCS Humanitas, approved by the Ethics Committee of the same institution), protocol “Coorte MaRe” approved by the ethics Committee of ASST Spedali Civili di Brescia n 4945 (ASST Spedali Civili), and protocol 1093/2021 (San Gerardo Hospital, Monza). Data sharing among centres occurred conforming to the European Union prescriptions for data protection [35]. Patients belonging to the original cohort were classified as members of a post-vaccination group (PVG). In parallel, we retrieved data from a control group (CG) consisting of a cohort of patients with SLE fitting the same criteria and observed in the five years preceding COVID-19, as part of a larger observational protocol (“Pan-immuno”, approved by the IRCCS Ospedale San Raffaele Institutional Review Board with reference number 22/INT/2018), conforming to the Declaration of Helsinki.

2.1. Timeframes of Observation

Observations in the PVG started from the date of the first anti-COVID-19 to the last available follow-up visit in May 2024. In the CG, the observation timeframe started with the first visit performed in 2015 and ended with the last available visit up to December 2019. We also calculated the timing from each patient’s baseline observation to the development of complications of special interest, as defined below.

2.2. Short-Term Adverse Events

Data on short-term adverse events related to the first and second vaccine injections were retrieved from the original dataset [33] and were defined as any adverse event occurring up to one month after each injection.

2.3. Long-Term Complications of Special Interest

We assessed seven types of long-term complications of special interest: (1) death; (2) hospitalisation for any cause; (3) disease flares; (4) new SLE-related manifestations; (5) infections; (6) accrual of new chronic comorbidities; (7) pregnancy morbidity. Disease flares were defined as new-onset or relapsing SLE manifestations requiring medium/long-term treatment upgrade and/or causing hospitalisation or death. Temporary, self-resolving manifestations, even if potentially attributable to SLE, were recorded among the short-term adverse events (see above). We recorded whether, during the observation timeframe, patients developed SLE-related manifestations that were not part of the previous clinical history (e.g., new-onset lupus nephritis in a patient with no previous renal involvement). These manifestations were classified according to the nine domains of the 2004 British Isles Lupus Assessment Group (BILAG) index [36]. We recorded all infections causing loss of work/schooldays and/or requiring treatment with antimicrobial treatments and/or causing hospitalisations [13]. We defined four sets of chronic comorbidities of special interest, which were recorded if (a) their diagnosis had been formulated within and (b) the diagnostic work-up or the onset of potential symptoms had not started before the timeframe of observation. A first group of comorbidities consisted of common causes of morbidity and mortality in the general population and encompassed cardiovascular disorders other than hypertension, hypertension, cancer, neurological disorders, and pulmonary disorders. A second set included morbidity with potentially higher social and psychological implications: non-SLE cutaneous disorders, psychiatric disorders, and gonadal failure. A third group of comorbidities encompassed secondary autoimmune diseases such as Sjoegren’s syndrome, rheumatoid arthritis, systemic sclerosis, inflammatory myopathies, anti-synthetase syndrome, Hashimoto’s thyroiditis/Graves’ disease, and coeliac disease. The fourth disease subgroup included comorbidities that were more frequently associated with post-COVID-19 or long-COVID-19 or for which a potential association with anti-COVID-19 vaccines had been hypothesised [18,19,37,38,39,40]: arrhythmia, myocarditis or pericarditis, chronic urticaria/itching, and fibromyalgia. We recorded the number of pregnancies and of pregnancy complications occurring during the observation timeframe.

2.4. General Features

In addition to the follow-up variables of special interest, data were recorded on patients’ demographics, disease onset and general disease characteristics. The BILAG-2004 index [36] was used to estimate SLE extent in patients’ history and SLE activity at the start of the observation timeframe. The Definition Of Remission in SLE (DORIS) criteria were applied to define disease quiescence [41]. Finally, we collected data on immunomodulant and immunosuppressive treatments (including prednisone daily dose) at baseline and at time of the last visit within the observation timeframe.

2.5. Statistical Analysis

Data were analysed using Statacorp STATA® v18.0 and the online OpenEpi tool (www.openepi.com) v3.01. Continuous variables are expressed as median and interquartile range, while categorical variables are expressed as number and percentage on the total population. Comparisons of continuous variables between groups were performed using the Mann–Whitney U-test. Incidence rates and categorical variables were compared by groups through the use of the chi-square tests with Fisher’s exact correction as appropriate. Cox regression was used to determine the potential impact of distinct variables on time-dependent outcomes.

3. Results

3.1. General Features

Follow up data were available from 284 of 452 PVG patients with SLE in the original cohort [33]. Most patients were women (89%) in their sixth decade (30%) and had a median disease duration of 18 (11–27) years at time of vaccination. The median observation timeframe (post-vaccine follow up) was 33 (31–35) months. Musculoskeletal and mucocutaneous domains were the most frequently represented (Supplemental Table S1). A total of 142 (50%) patients were taking immunosuppressants, 57 (20%) biotechnological immunomodulatory drugs (belimumab), and 164 (58%) were taking corticosteroids at time of vaccination. Among patients taking immunosuppressants, only six had biotechnological immunosuppressants; this subgroup was not further analysed due to its excessively small sample size. The majority of patients had been vaccinated with the Pfizer anti-COVID-19 vaccine (n = 243; 86%), while Moderna (n = 34; 12%), Astrazeneca (n = 6; 2%), and Johnson & Johnson (n = 1, <1%) vaccines were less represented. No difference in any of the study outcomes was observed when patients were stratified by specific vaccine. The percentage of patients receiving immunosuppressants and corticosteroids did not change significantly between the start and the end of the observation timeframe. PVG patients were compared with a cohort of 223 CG patients, who were observed for a median time of 32 (18–44) months. Their main clinical features are reported in Supplemental Table S2.

3.2. Short-Term Adverse Events Following Vaccination

Seventy-nine PVG patients (28%) had one or more adverse reactions after the first (n = 45; 16%) and second (n = 62; 22%) vaccine injections. The most frequent adverse reactions were fever (44%), arthralgia (24%), fatigue (20%), local reactions at site of injection (18%), myalgia (14%), gastrointestinal symptoms (14%), and headache (13%; Supplemental Table S3). A history of constitutional symptoms (OR = 2.24, 95% confidence interval, CI = 1.31–3.83; p = 0.003), treatment with belimumab (OR = 1.87, 95%CI = 1.02–3.46; p = 0.044), or conventional synthetic immunosuppressants (OR 1.73, 95%CI = 1.02–2.94; p = 0.040) at time of vaccination constituted risk factors for short-term adverse reactions.

3.3. Long-Term Complications

3.3.1. General Outcomes

Three patients, two in the PVG and one in the CG, died during the observation timeframe. At the last visit, 211 (75%) patients in the PVG met DORIS remission criteria. There were 80 hospitalisations, affecting 61 patients in the PVG and 59 affecting 45 patients in the CG. Hospitalisation rates were similar in the PVG (1.59 events/100 person-months) and in the CG (1.16/100 person-months, p = 0.054; Figure 1). The most frequent cause of hospitalisation in the PVG was diagnostics [n = 18 (30%)] (mainly kidney biopsy)], followed by general surgery [n = 10 (16%)], orthopaedic surgery [n = 8 (13%)], and infections [n = 8 (13%)]. In the CG, the main causes of hospitalisation were infections [n = 11, (24%)], followed by cardiovascular events [n = 9 (20%)], general surgery [n = 7 (15%)], neurological events [n = 6 (13%)], and diagnostics [n = 5 (11%); Table 1].
In the PVG, similar frequencies of hospitalisations were observed among patients who experienced vs. who did not experience a short-term adverse event after any vaccination dose [16 (21%) vs. 45 (22%); p = 1.000]. Higher hospitalisation rates were observed among patients taking [34/112 (30%)] vs. not taking prednisone doses equal to or higher than 5 mg/day [27/168 (16%); p = 0.005]. No differences were found after stratification either by immunosuppressants, belimumab, BILAG domain involvement, or active BILAG domains at the time of vaccination.

3.3.2. Infections

A total of 138 (49%) PVG patients reported at least one infectious episode, and 123 (43%) patients reported at least one COVID-19 infection in the follow-up period. Infection prevalence was lower in the CG (35%). Accordingly, infection incidence rate was greater in the PVG than in the CG (2.89 vs. 1.65/100 person-months; p < 0.001). Short-term adverse reactions to vaccines and disease activity at time of vaccination did not predict the eventual occurrence of infection in the PVG. Compared to patients not receiving immunosuppressants, patients with conventional synthetic immunosuppressants had a higher prevalence of infections [80/141 (57%) vs. 58/143 (41%); p = 0.009]. Patients taking belimumab had no significant difference on infection prevalence. Higher infection rates were also observed in patients with a history of renal involvement [100/184 (54%) vs. 38/100 (38%) in patients with no history of nephritis; p = 0.009].

3.3.3. SLE Flares and Progression

Post-vaccination flares occurred in 68/284 (24%) PVG patients, yielding a flare rate of 0.76/100 person-months. This was comparable to flares observed in the CG (0.90/100 person-months, p = 0.382; Figure 2). Compared to quiescent disease, higher flare rates were observed in patients with active constitutional [5/7 (71%) vs. 23/276 (63%); p = 0.010], musculoskeletal [13/32 (41%) vs. 55/251 (22%); p = 0.027], or mucocutaneous [ 8/17 (47%) vs. 60/266 (23%); p = 0.036] domain at time of vaccination. No differences were observed in terms of SLE flare rates when stratifying by corticosteroid, belimumab, or conventional immune suppressant treatment or by occurrence of short-term adverse reactions. Patients in the PVG who experienced at least one infection had an increased proportion of disease flares compared to patients with no infections [25/146 (17%) vs. 43/138 (31%); p = 0.008].
Disease progression with the development of active disease in unprecedented BILAG domains was observed in n = 26 (9%) of subjects in the PVG and n = 34 (15%) in the CG, yielding comparable incidence rates (0.30 vs. 0.50/100 person-months; p = 0.063; Figure 3). The most frequent domains involved in the progression were musculoskeletal and mucocutaneous for the PVG and cardiopulmonary and haematologic for the CG (Table 2). Accordingly, PVG patients had more new musculoskeletal manifestations [n = 17 (6%) vs. n = 3 (1%); p = 0.010] but significantly less haematological manifestations [n = 0 (0%) vs. n = 12 (6%); p < 0.001) and cardiopulmonary manifestation [n = 3 (1%) vs. n = 11 (5%); p = 0.012] than patients in the CG. No differences among PVG patients were observed based on therapy, short-term adverse events, infections history, disease history, or active disease domain at the time of vaccination.

3.3.4. Chronic Comorbidities

A total of 34 PVG patients accrued one or more new chronic comorbidities during the observation timeframe. The most frequent cause of morbidity was cancer (n = 10 patients, 4%), followed by cardiovascular disorders (n = 6 patients, 2%), end-stage kidney disease (n = 5 patients, 2%), other autoimmune-diseases (n = 5 patients, 2%), and pulmonary disorders (n = 4 patients, 1%). Most new cancer diagnoses (7/10) were performed in the 2021–2022 period. No difference in new chronic comorbidities prevalence was observed based upon the use of immunosuppressants, belimumab, or corticosteroids or based on any short-term adverse reactions. A higher frequency of new chronic comorbidities was observed in patients without a history of cardiopulmonary manifestations [27/216 (13%) vs. 2/68 (3%); p = 0.021] or patients with active haematological manifestations [6/25 (24%) vs. 23/259 (9%); p = 0.030].
No excess rates of new chronic comorbidity accrual were observed in the PVG compared to the CG. The CG had an increased rate of new cardiovascular diseases (0.35 vs. 0.07 per 100-person month; p < 0.001), neurological disorders (0.09 vs. 0/100 person-month; p = 0.007), psychiatric disorders (0.08 vs. 0/100 person-months; p = 0.016), and fibromyalgia (0.05 vs. 0/100 person-months; p = 0.082; Table 3).

3.3.5. Pregnancies

During the timeframe of observation, we recorded 11 pregnancies in 9 subjects in the PVG and 16 in 15 subjects in the CG (Table 4). Among the PVG, one patient developed pre-eclampsia, one patient developed a chorioamnionitis, and one developed lupus nephritis. Except for one spontaneous abortion in the first trimester and one infant diagnosed with 18th chromosome trisomy, all other pregnancies had favourable foetal outcomes. In the CG, pregnancy complications were recorded in six cases, with three spontaneous abortions, one pre-term delivery following CMV infection, one case of lupus nephritis, and one case of non-infectious endocarditis. No significant differences were observed. No difference in pregnancy number and pregnancy-related adverse event was observed based on therapy, short-term adverse events, or disease history at vaccination.

4. Discussion

In this multicentre study focusing on the long-term health status of patients with SLE having received anti-COVID-19 vaccines, we observed relatively low rates of complications following the 2020–2021 campaign where the novel mRNA and viral-vectored vaccine platforms were introduced. Furthermore, we did not detect significant changes in survival, hospitalisation rates, disease stability, accrual of new chronic causes of morbidity, and pregnancy outcomes in comparison to the pre-COVID-19/pre-vaccine era. Patients experiencing short-term adverse events to anti-COVID-19 vaccination had no higher risk of long-term morbidity or adverse outcomes. Higher baseline activity and/or receiving deeper immune suppression conferred a higher risk of flares and hospitalisation. Higher infection rates were calculated in the cohort observed during the COVID-19 pandemic compared to the CG, especially in subjects taking immunosuppressants or with a history of lupus nephritis. Indeed, most PVG patients reporting one or more infections had COVID-19.
A crucial principle in vaccinology is the ability of vaccines to uncouple antimicrobial protection through immunisation from infection morbidity. Aberrant deployment of the immune system in SLE and other immune-mediated disorders has historically prompted conjectures about potential risks of unsolicited vaccine-induced inflammation in patients with these disorders. In line with consolidated evidence with other vaccine platforms [42,43,44], our data show that anti-COVID-19 vaccines do not associate with excess SLE flare rates in the long-term [45], nor with disease progression and involvement of unprecedented BILAG domains. These data suggest that anti-COVID-19 vaccines do not induce persistent perturbations of the immune response in patients with SLE. In parallel, we observed that patients in the PVG did not experience higher rates of accumulation of new chronic comorbidities compared to the CG. New cancers were the most frequent comorbidities, and, while the overall incidence was comparable between the two groups, they were mainly diagnosed (7/10) in 2021–2022. This is consistent with an observed delay in cancer screening and diagnosis at the 2020 peak of the pandemic, due to disruptions of healthcare services [46,47]. Interestingly, we observed lower rates of new cardiovascular comorbidities and/or SLE-related manifestations in the PVG compared to the CG. Furthermore, patients with established cardiopulmonary morbidity had lower rates of further morbidity accrual. These data might subtend improved control and prevention of cardiac and pulmonary conditions in patients with more recent follow up, possibly also due to changes in practice and scientific knowledge secondary to the COVID-19 pandemic [48,49].
Despite the established role of infectious agents (especially of viral origin) in triggering SLE flares [12,13,50], vaccination rates in patients with SLE remain suboptimal [9,25,26,27,51,52]. While part of this phenomenon might be attributed to insufficient knowledge sharing among tertiary and primary settings of care for patients with SLE [50], significant barriers are also constituted by the spread of misinformation through social media platforms and mass-media, along with widespread loss of trust in academic/public institutions [53]. Lack of long-term safety data about the new mRNA-based or viral-vectored vaccines due to their emergency approval at the peak of the COVID-19 pandemic has further fuelled vaccine hesitancy. Our data suggest that, in line with consolidated knowledge with other vaccines [54], anti-COVID-19 immunisation does not associate with safety signals of concern in the short- [55,56,57,58,59,60,61] and long-term in vulnerable subjects, such as patients with SLE. Conversely, infections remain a major cause of morbidity in patients with SLE and other rheumatic musculoskeletal diseases, especially in case of deep immunosuppression [16]. In line with previous reports [62,63], we indeed observed that immunosuppression was a major risk factor for vaccine failure and development of clinically overt COVID-19. COVID-19 contributed to the relatively higher rate of infections observed in the PVG compared to the CG. Infections, in turn, were associated with higher rates of SLE flares. While supporting a model of SLE as a disease with generalised dysfunction of the immune response [13,64], this evidence confirms that vaccination might possibly prove as crucial as immunosuppression in preventing disease-related complications, being them either autoimmune phenomena or simply infections.
Patients in the PVG had similar hospitalisation rates to patients observed in the pre-COVID-19 era; in line with previous reports, about 10% of patients required hospitalisation at least once over the course of one year [65]. While this finding is further reassuring in terms of the potential impact of anti-COVID-19 vaccination in patients with SLE, it might also suggest that improvements are still warranted for an optimal management of patients’ needs. Indeed, worsening trends in the socioeconomical stability of healthcare systems, with potential overload of hospital-based care due to insufficient development of local facilities [66,67,68], might exacerbate existing limitations to the early detection and tackling of clinical destabilisation in frail patients, including patients with SLE [69].
Globally, our results indicate that anti-COVID-19 vaccines do not add to the baseline risk of morbidity of patients with SLE. However, multiple limitations should be considered for an appropriate interpretation of these data. First, this study focused on a distinct, though paradigmatic, autoimmune disease, restricting the potential generalisability of our findings to other immune-mediated diseases. Second, data collection was retrospective, which introduced a potential risk of underreporting for minor manifestations. This might have been further exacerbated by heterogeneity between the PVG and the CG, with the latter being observed in a more remote timeframe. Third, we did not collect data about the number of booster doses effectively received by the patients after the first two injections. Similarly, we had no information about vaccine coverage for non-SARS-CoV-2 pathogens, preventing a comprehensive analysis of factors conferring susceptibility to infections in our study cohorts. Moreover, while no difference was observed among specific vaccine platforms, the small sample size of non-mRNA-based vaccines prevents accurate conclusions about their specific long-term safety profile. Fourth, in the absence of experimental data about antibody and/or T-cell responses after vaccination, we were unable to correlate post-vaccine COVID-19 infection rates with quantitative measures of effective immunisation. Similarly, since no precise data on the timing and type of infections were available, we could not establish whether COVID-19 carries a different risk profile for inducing disease flares compared to other infections. Therefore, this long-term analysis is limited to safety assessment. Last, although we did not observe significant changes in pregnancy rates and in the frequency of pregnancy morbidity, we did not have complete information on pregnancy intention among PVG and CG patients in their fertile age, preventing the acquisition of definite data about fertility.

5. Conclusions

Our data suggest that anti-COVID-19 vaccines are safe in patients with SLE and do not adversely impact the disease course, pregnancy, or the overall health status. Since infections are known to precipitate disease flares, our data add to the evidence that vaccinations have a beneficial impact on SLE patients and support practices aiming at mitigating vaccination hesitancy. Further studies in other cohorts are warranted to confirm our results and/or extend their applicability to other chronic diseases.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/vaccines13070735/s1, Table S1: disease characteristics according to BILAG domains among patients in the PVG at time of the first vaccine dose; Table S2: disease characteristics according to BILAG domains among patients in the CG at the start of follow-up; Table S3: short-term adverse events in the PVG.

Author Contributions

Conceptualization, G.A.R., M.G., L.D., L.B., R.C., and R.A.S.; formal analysis G.B. (Giovanni Benanti), L.D., L.B., R.C., and R.A.S.; data acquisition T.S., L.M.A., G.M., G.B. (Grazia Bonelli), F.A., F.M., L.M., G.D.G., F.T., B.V., C.B., G.A.R., G.B. (Giovanni Benanti), and E.B.; data curation: L.D., L.B., R.C., and R.A.S.; writing—original draft preparation, G.B. (Giovanni Benanti) and G.A.R.; writing—review and editing, G.A.R., G.B. (Giovanni Benanti), L.D., L.B., R.A.S., R.C., and E.B.; supervision, E.B., L.D., R.A.S., L.B., L.M., R.C., and M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by Ethics Committee Comitato Etico Milano Area 2 (approval no. 0002450/2020) and by the Ethics Committee of IRCCS Humanitas, protocol “Coorte MaRe” approved by the ethics Committee of ASST Spedali Civili di Brescia n 4945 (ASST Spedali Civili), and protocol 1093/2021 (San Gerardo Hospital, Monza).

Informed Consent Statement

Informed consent was obtained from all subjects involved in this study.

Data Availability Statement

The authors might share source data supporting this manuscript upon reasonable request to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest in connection with this paper.

References

  1. Mauro, M.; Giancotti, M. Italian responses to the COVID-19 emergency: Overthrowing 30 years of health reforms? Health Policy 2021, 125, 548–552. [Google Scholar] [CrossRef] [PubMed]
  2. Paudel, D.; Neupane, R.C.; Sigdel, S.; Poudel, P.; Khanal, A.R. COVID-19 Pandemic, Climate Change, and Conflicts on Agriculture: A Trio of Challenges to Global Food Security. Sustainability 2023, 15, 8280. [Google Scholar] [CrossRef]
  3. De Luca Picione, R.; Martini, E.; Cicchella, S.; Forte, S.; Carranante, M.; Tateo, L.; Rhodes, P. The impact of Covid-19 pandemic: Psycho-social perception of the crisis and sense-making processes. Community Psychol. Glob. Perspect. 2021, 7, 103–128. [Google Scholar]
  4. Maddock, J.; Parsons, S.; Di Gessa, G.; Green, M.J.; Thompson, E.J.; Stevenson, A.J.; Kwong, A.S.; McElroy, E.; Santorelli, G.; Silverwood, R.J.; et al. Inequalities in healthcare disruptions during the COVID-19 pandemic: Evidence from 12 UK population-based longitudinal studies. BMJ Open 2022, 12, e064981. [Google Scholar] [CrossRef]
  5. Talarico, R.; Aguilera, S.; Alexander, T.; Amoura, Z.; Antunes, A.M.; Arnaud, L.; Avcin, T.; Beretta, L.; Bombardieri, S.; Burmester, G.R.; et al. The impact of COVID-19 on rare and complex connective tissue diseases: The experience of ERN ReCONNET. Nat. Rev. Rheumatol. 2021, 17, 177–184. [Google Scholar] [CrossRef]
  6. Shukla, P.; Lee, M.; Whitman, S.A.; Pine, K.H. Delay of routine health care during the COVID-19 pandemic: A theoretical model of individuals’ risk assessment and decision making. Soc. Sci. Med. 2022, 307, 115164. [Google Scholar] [CrossRef]
  7. Gianfrancesco, M.; Hyrich, K.L.; Al-Adely, S.; Carmona, L.; Danila, M.I.; Gossec, L.; Izadi, Z.; Jacobsohn, L.; Katz, P.; Lawson-Tovey, S.; et al. Characteristics associated with hospitalisation for COVID-19 in people with rheumatic disease: Data from the COVID-19 Global Rheumatology Alliance physician-reported registry. Ann. Rheum. Dis. 2020, 79, 859–866. [Google Scholar] [CrossRef] [PubMed]
  8. Pablos, J.L.; Galindo, M.; Carmona, L.; Lledó, A.; Retuerto, M.; Blanco, R.; Gonzalez-Gay, M.A.; Martinez-Lopez, D.; Castrejón, I.; Alvaro-Gracia, J.M.; et al. Clinical outcomes of hospitalised patients with COVID-19 and chronic inflammatory and autoimmune rheumatic diseases: A multicentric matched cohort study. Ann. Rheum. Dis. 2020, 79, 1544–1549. [Google Scholar] [CrossRef] [PubMed]
  9. Ramirez, G.A.; Argolini, L.M.; Bellocchi, C.; Moroni, L.; Della-Torre, E.; Farina, N.; Caporali, R.F.; Beretta, L.; Gerosa, M.; Bozzolo, E.P.; et al. Impact of the COVID-19 pandemic in patients with systemic lupus erythematosus throughout one year. Clin. Immunol. 2021, 231, 108845. [Google Scholar] [CrossRef]
  10. Mathian, A.; Breillat, P.; Dorgham, K.; Bastard, P.; Charre, C.; Lhote, R.; Quentric, P.; Moyon, Q.; Mariaggi, A.A.; Mouries-Martin, S.; et al. Lower disease activity but higher risk of severe COVID-19 and herpes zoster in patients with systemic lupus erythematosus with pre-existing autoantibodies neutralising IFN-α. Ann. Rheum. Dis. 2022, 81, 1695–1703. [Google Scholar] [CrossRef]
  11. Bastard, P.; Rosen, L.B.; Zhang, Q.; Michailidis, E.; Hoffmann, H.H.; Zhang, Y.; Dorgham, K.; Philippot, Q.; Rosain, J.; Béziat, V.; et al. Autoantibodies against type I IFNs in patients with life-threatening COVID-19. Science 2020, 370, eabd4585. [Google Scholar] [CrossRef] [PubMed]
  12. Joo, Y.B.; Kim, K.J.; Park, K.S.; Park, Y.J. Influenza infection as a trigger for systemic lupus erythematosus flares resulting in hospitalization. Sci. Rep. 2021, 11, 4630. [Google Scholar] [CrossRef] [PubMed]
  13. Ramirez, G.A.; Calabrese, C.; Secci, M.; Moroni, L.; Gallina, G.D.; Benanti, G.; Bozzolo, E.P.; Matucci-Cerinic, M.; Dagna, L. Infection-Associated Flares in Systemic Lupus Erythematosus. Pathogens 2024, 13, 934. [Google Scholar] [CrossRef] [PubMed]
  14. 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. 2020, 79, 39–52. [Google Scholar] [CrossRef]
  15. Rappuoli, R.; Alter, G.; Pulendran, B. Transforming vaccinology. Cell 2024, 187, 5171–5194. [Google Scholar] [CrossRef]
  16. Kawano, Y.; Patel, N.J.; Wang, X.; Cook, C.E.; Vanni, K.M.; Kowalski, E.N.; Banasiak, E.P.; Qian, G.; DiIorio, M.; Hsu, T.Y.; et al. Temporal trends in COVID-19 outcomes among patients with systemic autoimmune rheumatic diseases: From the first wave through the initial Omicron wave. Ann. Rheum. Dis. 2022, 81, 1742–1749. [Google Scholar] [CrossRef]
  17. Baden, L.R.; El Sahly, H.M.; Essink, B.; Kotloff, K.; Frey, S.; Novak, R.; Diemert, D.; Spector, S.A.; Rouphael, N.; Creech, C.B.; et al. Efficacy and Safety of the mRNA-1273 SARS-CoV-2 Vaccine. N. Engl. J. Med. 2021, 384, 403–416. [Google Scholar] [CrossRef]
  18. Katsoularis, I.; Jerndal, H.; Kalucza, S.; Lindmark, K.; Fonseca-Rodríguez, O.; Connolly, A.-M.F. Risk of arrhythmias following COVID-19: Nationwide self-controlled case series and matched cohort study. Eur. Heart J. Open 2023, 3, oead120. [Google Scholar] [CrossRef]
  19. Patone, M.; Mei, X.W.; Handunnetthi, L.; Dixon, S.; Zaccardi, F.; Shankar-Hari, M.; Watkinson, P.; Khunti, K.; Harnden, A.; Coupland, C.A.C.; et al. Risk of Myocarditis After Sequential Doses of COVID-19 Vaccine and SARS-CoV-2 Infection by Age and Sex. Circulation 2022, 146, 743–754. [Google Scholar] [CrossRef]
  20. Chang, R.; Yen-Ting Chen, T.; Wang, S.I.; Hung, Y.M.; Chen, H.Y.; Wei, C.J. Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study. eClinicalMedicine 2023, 56, 101783. [Google Scholar] [CrossRef]
  21. Flacco, M.E.; Acuti Martellucci, C.; Soldato, G.; Di Martino, G.; Carota, R.; De Benedictis, M.; Di Marco, G.; Parruti, G.; Di Luzio, R.; Caponetti, A.; et al. COVID-19 Vaccination Did Not Increase the Risk of Potentially Related Serious Adverse Events: 18-Month Cohort Study in an Italian Province. Vaccines 2022, 11, 31. [Google Scholar] [CrossRef]
  22. Thanborisutkul, K.; Kulalert, P.; Methaset, K.; Nanthapisal, S.; Chunthatikul, T.; Phangpanya, N.; Charoenying, P.; Atsawutmangkru, W.; Srijaroen, S.; Punyashthira, P.; et al. Incidence and Factors Associated with Self-Reported Skin Symptoms of Allergic Reactions to COVID-19 Vaccines. Vaccines 2025, 13, 289. [Google Scholar] [CrossRef]
  23. Nitz, J.N.; Ruprecht, K.K.; Henjum, L.J.; Matta, A.Y.; Shiferaw, B.T.; Weber, Z.L.; Jones, J.M.; May, R.; Baio, C.J.; Fiala, K.J.; et al. Cardiovascular Sequelae of the COVID-19 Vaccines. Cureus 2025, 17, e82041. [Google Scholar] [CrossRef] [PubMed]
  24. Sahoo, D.P. Causal Overgeneralization of COVID-19 Vaccine Adverse Events Undermines Scientific Integrity: A Technical Report. Cureus 2025, 17, e82121. [Google Scholar] [CrossRef]
  25. Solomon, D.H.; Bucala, R.; Kaplan, M.J.; Nigrovic, P.A. The “Infodemic” of COVID-19. Arthritis Rheumatol. 2020, 72, 1806–1808. [Google Scholar] [CrossRef]
  26. Horton, R. Offline: Managing the COVID-19 vaccine infodemic. Lancet 2020, 396, 1474. [Google Scholar] [CrossRef] [PubMed]
  27. Turner, P.J.; Larson, H.; Dubé, È.; Fisher, A. Vaccine Hesitancy: Drivers and How the Allergy Community Can Help. J. Allergy Clin. Immunol. Pract. 2021, 9, 3568–3574. [Google Scholar] [CrossRef] [PubMed]
  28. Gianfredi, V.; Berti, A.; Stefanizzi, P.; D’Amico, M.; De Lorenzo, V.; Moscara, L.; Di Lorenzo, A.; Venerito, V.; Castaldi, S. COVID-19 Vaccine Knowledge, Attitude, Acceptance and Hesitancy among Pregnancy and Breastfeeding: Systematic Review of Hospital-Based Studies. Vaccines 2023, 11, 1697. [Google Scholar] [CrossRef]
  29. Torrente López, A.; Hermosilla, J.; Navas, N.; Cuadros-Rodríguez, L.; Cabeza, J.; Salmerón, A. The Relevance of Monoclonal Antibodies in the Treatment of COVID-19. Vaccines 2021, 9, 557. [Google Scholar] [CrossRef]
  30. Wraith, D.C.; Goldman, M.; Lambert, P.H. Vaccination and autoimmune disease: What is the evidence? Lancet 2003, 362, 1659–1666. [Google Scholar] [CrossRef]
  31. Mormile, I.; Della Casa, F.; Petraroli, A.; Furno, A.; Granata, F.; Portella, G.; Rossi, F.W.; de Paulis, A. Immunogenicity and Safety of mRNA Anti-SARS-CoV-2 Vaccines in Patients with Systemic Lupus Erythematosus. Vaccines 2022, 10, 1221. [Google Scholar] [CrossRef] [PubMed]
  32. Petrou, D.; Marinaki, S.; Kriki, P.; Flouda, S.; Venetsanopoulou, A.; Voulgari, P.; Sardeli, A.; Drouzas, K.; Panagoutsos, S.; Liapis, G.; et al. Safety Profile of SARS-CoV-2 Vaccination in Patients with Lupus Nephritis: A Retrospective Study. J. Clin. Med. 2025, 14, 406. [Google Scholar] [CrossRef] [PubMed]
  33. Gerosa, M.; Schioppo, T.; Argolini, L.M.; Sciascia, S.; Ramirez, G.A.; Moroni, G.; Sinico, R.A.; Bonelli, G.; Alberici, F.; Mescia, F.; et al. The Impact of Anti-SARS-CoV-2 Vaccine in Patients with Systemic Lupus Erythematosus: A Multicentre Cohort Study. Vaccines 2022, 10, 663. [Google Scholar] [CrossRef] [PubMed]
  34. Aringer, M.; Costenbader, K.; Daikh, D.; Brinks, R.; Mosca, M.; Ramsey-Goldman, R.; Smolen, J.S.; Wofsy, D.; Boumpas, D.T.; Kamen, D.L.; et al. 2019 European League Against Rheumatism/American College of Rheumatology classification criteria for systemic lupus erythematosus. Ann. Rheum. Dis. 2019, 78, 1151–1159. [Google Scholar] [CrossRef]
  35. European-Commission. Article 29 Data Protection Working Party; 0829/14/EN WP216; European-Commission: Brussels, Belgium, 2014. [Google Scholar]
  36. Isenberg, D.A.; Rahman, A.; Allen, E.; Farewell, V.; Akil, M.; Bruce, I.N.; D’Cruz, D.; Griffiths, B.; Khamashta, M.; Maddison, P.; et al. BILAG 2004. Development and initial validation of an updated version of the British Isles Lupus Assessment Group’s disease activity index for patients with systemic lupus erythematosus. Rheumatology 2005, 44, 902–906. [Google Scholar] [CrossRef]
  37. Yamamura, Y.; Nakashima, C.; Kagawa, N.; Aoyama, Y.; Yamamoto, A.; Kawahira, H.; Kubota, Y.; Nakajima, S.; Nakahara, T.; Fuyuno, Y.; et al. Cutaneous Adverse Events Following COVID-19 Vaccination in Japan: A Questionnaire Survey. Cureus 2025, 17, e80257. [Google Scholar] [CrossRef]
  38. Yacoub, M.R.; Ferlito, A.; Nettis, E. Chronic urticaria: Not only after COVID-19 vaccination. Curr. Opin. Allergy Clin. Immunol. 2024, 24, 404–408. [Google Scholar] [CrossRef]
  39. Liu, A.; Liao, P.; Jiang, H.; Huang, S.; Li, S.; Wei, J.C.; Ying, Z. COVID- 19 vaccination reduces new-onset fibromyalgia risk in survivors. BMC Med. 2025, 23, 255. [Google Scholar] [CrossRef]
  40. Calabrese, L.H.; Calabrese, C. Long COVID for the Rheumatologist: Current Understanding and Approach to Management. Rheum. Dis. Clin. N. Am. 2025, 51, 29–43. [Google Scholar] [CrossRef]
  41. van Vollenhoven, R.F.; Bertsias, G.; Doria, A.; Isenberg, D.; Morand, E.; Petri, M.A.; Pons-Estel, B.A.; Rahman, A.; Ugarte-Gil, M.F.; Voskuyl, A.; et al. 2021 DORIS definition of remission in SLE: Final recommendations from an international task force. Lupus Sci. Med. 2021, 8, e000538. [Google Scholar] [CrossRef]
  42. Abdelahad, M.; Ta, E.; Kesselman, M.M.; Demory Beckler, M. A Review of the Efficacy of Influenza Vaccination in Autoimmune Disease Patients. Cureus 2021, 13, e15016. [Google Scholar] [CrossRef] [PubMed]
  43. Holvast, A.; Huckriede, A.; Wilschut, J.; Horst, G.; De Vries, J.J.; Benne, C.A.; Kallenberg, C.G.; Bijl, M. Safety and efficacy of influenza vaccination in systemic lupus erythematosus patients with quiescent disease. Ann. Rheum. Dis. 2006, 65, 913–918. [Google Scholar] [CrossRef] [PubMed]
  44. Adawi, M.; Bragazzi, N.L.; McGonagle, D.; Watad, S.; Mahroum, N.; Damiani, G.; Conic, R.; Bridgewood, C.; Mahagna, H.; Giacomelli, L.; et al. Immunogenicity, safety and tolerability of anti-pneumococcal vaccination in systemic lupus erythematosus patients: An evidence-informed and PRISMA compliant systematic review and meta-analysis. Autoimmun. Rev. 2019, 18, 73–92. [Google Scholar] [CrossRef]
  45. Iaccarino, L.; Bettio, S.; Reggia, R.; Zen, M.; Frassi, M.; Andreoli, L.; Gatto, M.; Piantoni, S.; Nalotto, L.; Franceschini, F.; et al. Effects of Belimumab on Flare Rate and Expected Damage Progression in Patients With Active Systemic Lupus Erythematosus. Arthritis Care Res. 2017, 69, 115–123. [Google Scholar] [CrossRef]
  46. Mok, C.C.; Chan, K.L.; Tse, S.M. Hesitancy for SARS-CoV-2 vaccines and post-vaccination flares in patients with systemic lupus erythematosus. Vaccine 2022, 40, 5959–5964. [Google Scholar] [CrossRef]
  47. Chehab, G.; Richter, J.G.; Brinks, R.; Fischer-Betz, R.; Winkler-Rohlfing, B.; Schneider, M. Vaccination coverage in systemic lupus erythematosus-a cross-sectional analysis of the German long-term study (LuLa cohort). Rheumatology 2018, 57, 1439–1447. [Google Scholar] [CrossRef] [PubMed]
  48. Rovere Querini, P.; De Lorenzo, R.; Conte, C.; Brioni, E.; Lanzani, C.; Yacoub, M.R.; Chionna, R.; Martinenghi, S.; Vitali, G.; Tresoldi, M.; et al. Post-COVID-19 follow-up clinic: Depicting chronicity of a new disease. Acta Biomed. 2020, 91, 22–28. [Google Scholar] [CrossRef]
  49. Song, S.; Guo, C.; Wu, R.; Zhao, H.; Li, Q.; Dou, J.H.; Guo, F.S.; Wei, J. Impact of the COVID-19 pandemic on cardiovascular mortality and contrast analysis within subgroups. Front. Cardiovasc. Med. 2024, 11, 1279890. [Google Scholar] [CrossRef]
  50. Mosca, M.; Andersen, J.; Wildman, P.; Manzi, S.; Amoura, Z.; Bultink, I.; Monticielo, O.A.; Navarra, S.; Pettersson, S. A charter to improve care for systemic lupus erythematosus. Clin. Exp. Rheumatol. 2025, 43, 517–525. [Google Scholar] [CrossRef]
  51. Ichikawa, T.; Kishida, D.; Shimojima, Y.; Yajima, N.; Oguro, N.; Yoshimi, R.; Sakurai, N.; Hidekawa, C.; Sada, K.-e.; Miyawaki, Y.; et al. Trust in Health Information Sources Among Patients With Systemic Lupus Erythematosus in the Social Networking Era: The TRUMP2-SLE Study. J. Rheumatol. 2025, 52, jrheum.2024-1088. [Google Scholar] [CrossRef]
  52. Miyachi, T.; Takita, M.; Senoo, Y.; Yamamoto, K. Lower trust in national government links to no history of vaccination. Lancet 2020, 395, 31–32. [Google Scholar] [CrossRef] [PubMed]
  53. Piga, M.; Tselios, K.; Viveiros, L.; Chessa, E.; Neves, A.; Urowitz, M.B.; Isenberg, D. Clinical patterns of disease: From early systemic lupus erythematosus to late-onset disease. Best Pract. Res. Clin. Rheumatol. 2023, 37, 101938. [Google Scholar] [CrossRef] [PubMed]
  54. Sim, J.J.L.; Lim, C.C. Influenza Vaccination in Systemic Lupus Erythematosus: Efficacy, Effectiveness, Safety, Utilization, and Barriers. Am. J. Med. 2022, 135, 286–296.e9. [Google Scholar] [CrossRef] [PubMed]
  55. Lee, J.; Dhillon, N.; Pope, J. All-cause hospitalizations in systemic lupus erythematosus from a large Canadian referral centre. Rheumatology 2013, 52, 905–909. [Google Scholar] [CrossRef]
  56. Petri, M.; Genovese, M. Incidence of and risk factors for hospitalizations in systemic lupus erythematosus: A prospective study of the Hopkins Lupus Cohort. J. Rheumatol. 1992, 19, 1559–1565. [Google Scholar]
  57. Ramirez, G.A.; Gerosa, M.; Beretta, L.; Bellocchi, C.; Argolini, L.M.; Moroni, L.; Della Torre, E.; Artusi, C.; Nicolosi, S.; Caporali, R.; et al. COVID-19 in systemic lupus erythematosus: Data from a survey on 417 patients. Semin. Arthritis Rheum. 2020, 50, 1150–1157. [Google Scholar] [CrossRef]
  58. An, Z.; Figueroa-Parra, G.; Zhou, X.; Li, Y.; Jaquith, J.; McCarthy-Fruin, K.; Sletten, J.; Warrington, K.J.; Weyand, C.; Crowson, C.S.; et al. Immune responses and disease biomarker long-term changes following COVID-19 mRNA vaccination in a cohort of rheumatic disease patients. Front. Immunol. 2023, 14, 1224702. [Google Scholar] [CrossRef]
  59. Tani, C.; Cardelli, C.; Depascale, R.; Gamba, A.; Iaccarino, L.; Doria, A.; Bandeira, M.; Dinis, S.P.; Romão, V.C.; Gotelli, E.; et al. Long-term outcomes of COVID-19 vaccination in patients with rare and complex connective tissue diseases: The ERN-ReCONNET VACCINATE study. J. Transl. Autoimmun. 2023, 7, 100221. [Google Scholar] [CrossRef]
  60. Doskaliuk, B.; Ravichandran, N.; Sen, P.; Day, J.; Joshi, M.; Nune, A.; Nikiphorou, E.; Saha, S.; Tan, A.L.; Shinjo, S.K.; et al. Long-term safety of COVID vaccination in individuals with idiopathic inflammatory myopathies: Results from the COVAD study. Rheumatol. Int. 2023, 43, 1651–1664. [Google Scholar] [CrossRef]
  61. Carvajal, R.; Zabalza, A.; Carbonell-Mirabent, P.; Martínez-Gómez, X.; Esperalba, J.; Pappolla, A.; Rando, A.; Cobo-Calvo, A.; Tur, C.; Rodriguez, M.; et al. Vaccine Safety and Immunogenicity in Patients With Multiple Sclerosis Treated With Natalizumab. JAMA Netw. Open 2024, 7, e246345. [Google Scholar] [CrossRef]
  62. Ferri, C.; Ursini, F.; Gragnani, L.; Raimondo, V.; Giuggioli, D.; Foti, R.; Caminiti, M.; Olivo, D.; Cuomo, G.; Visentini, M.; et al. Impaired immunogenicity to COVID-19 vaccines in autoimmune systemic diseases. High prevalence of non-response in different patients’ subgroups. J. Autoimmun. 2021, 125, 102744. [Google Scholar] [CrossRef] [PubMed]
  63. Petri, M.; Joyce, D.; Haag, K.; Fava, A.; Goldman, D.W.; Zhong, D.; Xiao, S.; Milstone, A.; Magder, L.S. Effect of Systemic Lupus Erythematosus and Immunosuppressive Agents on COVID-19 Vaccination Antibody Response. Arthritis Care Res. 2023, 75, 1878–1885. [Google Scholar] [CrossRef] [PubMed]
  64. Draborg, A.H.; Duus, K.; Houen, G. Epstein-Barr virus and systemic lupus erythematosus. Clin. Dev. Immunol. 2012, 2012, 370516. [Google Scholar] [CrossRef]
  65. Angelini, M.; Teglia, F.; Astolfi, L.; Casolari, G.; Boffetta, P. Decrease of cancer diagnosis during COVID-19 pandemic: A systematic review and meta-analysis. Eur. J. Epidemiol. 2023, 38, 31–38. [Google Scholar] [CrossRef]
  66. Wong, H.J.; Morra, D.; Caesar, M.; Carter, M.W.; Abrams, H. Understanding hospital and emergency department congestion: An examination of inpatient admission trends and bed resources. Cjem 2010, 12, 18–26. [Google Scholar] [CrossRef] [PubMed]
  67. Eklund, K.; Wilhelmson, K. Outcomes of coordinated and integrated interventions targeting frail elderly people: A systematic review of randomised controlled trials. Health Soc. Care Community 2009, 17, 447–458. [Google Scholar] [CrossRef] [PubMed]
  68. Cassini, A.; Plachouras, D.; Eckmanns, T.; Abu Sin, M.; Blank, H.P.; Ducomble, T.; Haller, S.; Harder, T.; Klingeberg, A.; Sixtensson, M.; et al. Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study. PLoS Med. 2016, 13, e1002150. [Google Scholar] [CrossRef]
  69. Mosca, M.; Bruce, I.N.; Andersen, J.; Ugarte-Gil, M.F.; Arnaud, L. Challenges and opportunities in access to care for systemic lupus erythematosus patients across Europe and worldwide. Rheumatology 2024, 63, 1772–1778. [Google Scholar] [CrossRef]
Figure 1. Kaplan–Meier curve and at-risk table for hospitalisation-free survival in the post-vaccine group (PVG; red) and the control group (CG; blue). No significant difference was observed between the two groups. CG–control group; PVG–post-vaccination group.
Figure 1. Kaplan–Meier curve and at-risk table for hospitalisation-free survival in the post-vaccine group (PVG; red) and the control group (CG; blue). No significant difference was observed between the two groups. CG–control group; PVG–post-vaccination group.
Vaccines 13 00735 g001
Figure 2. Kaplan–Meier curve for Flare-Free Survival in the PVG (red) and CG (blue). No significant difference was observed between the two groups. CG–control group; PVG post-vaccination group.
Figure 2. Kaplan–Meier curve for Flare-Free Survival in the PVG (red) and CG (blue). No significant difference was observed between the two groups. CG–control group; PVG post-vaccination group.
Vaccines 13 00735 g002
Figure 3. Kaplan–Meier Curve for Progression-Free Survival in the PVG (red) and CG (blue). No significant difference was observed between the two groups. CG–control group; PVG–post-vaccination group.
Figure 3. Kaplan–Meier Curve for Progression-Free Survival in the PVG (red) and CG (blue). No significant difference was observed between the two groups. CG–control group; PVG–post-vaccination group.
Vaccines 13 00735 g003
Table 1. Specific causes of hospitalisation. Percentages of each specific cause are referred to the total number of hospitalised patients. Some patients had multiple hospitalisations. CG–control group; PVG–post-vaccination group.
Table 1. Specific causes of hospitalisation. Percentages of each specific cause are referred to the total number of hospitalised patients. Some patients had multiple hospitalisations. CG–control group; PVG–post-vaccination group.
Hospitalised Patients by Cause of Hospitalisation: N (%)CG (n = 45/223)PVG (n = 61/284)p-Value
Cardiovascular Events9 (20)5 (8)0.063
Diagnostics5 (11)18 (30)0.999
Infections11 (24)8 (13)0.843
Flares3 (7)3 (5)0.073
Neurological Event6 (13)2 (3)0.806
Cancer9 (20)5 (8)0.631
Kidney Transplant2 (4)1 (2)0.999
C-section01 (2)0.999
Orthopaedic Surgery3 (7)8 (13)0.367
Other Surgery7 (15)10 (16)0.428
Table 2. Disease progression by accrual of new BILAG domains. Percentages of specific new BILAG manifestations are expressed as a fraction of the total number of patients with at least one new disease manifestation. BILAG–British Isles Lupus Assessment Group; CG–control group; PVG–post-vaccination group.
Table 2. Disease progression by accrual of new BILAG domains. Percentages of specific new BILAG manifestations are expressed as a fraction of the total number of patients with at least one new disease manifestation. BILAG–British Isles Lupus Assessment Group; CG–control group; PVG–post-vaccination group.
Patients with New Manifestations: N (%)CG (n = 34/223)PVG (n = 26/284)p-Value
Cardiopulmonary domain11 (32)3 (12)0.012
Haematological domain12 (35)0 (0)<0.001
Musculoskeletal domain3 (1)17 (65)0.010
Neuropsychiatric domain1 (3)0 (0)0.440
Ophthalmic domain1 (3)0 (0)0.440
Renal domain4 (11)3 (12)0.705
Mucocutaneous domain4 (11)4 (15)0.754
Table 3. Incidence Rates of chronic comorbidities of special interest per 100 person-month. CG–control group; PVG–post-vaccination group; ESRD–end stage renal disease.
Table 3. Incidence Rates of chronic comorbidities of special interest per 100 person-month. CG–control group; PVG–post-vaccination group; ESRD–end stage renal disease.
Incidence Rates
(Events/100 Person-Months)
CG (n = 223)PVG (n = 284)p-Value
Cancer0.090.110.852
Cardiovascular disorders0.350.07<0.001
Cutaneous disorders0.030.010.850
Fibromyalgia0.050.000.082
Gonadal failure0.010.000.900
Neurological disorders0.090.000.007
Psychiatric disorders0.080.000.016
Pulmonary disorders0.030.050.961
Other autoimmune diseases0.070.060.892
ESRD0.030.060.633
Table 4. Pregnancies and pregnancy-related outcomes in CG and PVG (% over number of pregnancies). CG–control group; PVG–post-vaccination group.
Table 4. Pregnancies and pregnancy-related outcomes in CG and PVG (% over number of pregnancies). CG–control group; PVG–post-vaccination group.
Item CG (n = 223) PVG (n = 284)p-Value
At least one pregnancy: N (%)15 (7)9 (3)0.054
Number of pregnancies: N1611-
Adverse foetal outcomes: N (%) *3 (19)2(18)0.999
Adverse maternal events: N (%) *6 (38)3 (27)0.897
* Percentage expressed as a fraction of the number of total pregnancies.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Benanti, G.; Ramirez, G.A.; Schioppo, T.; Argolini, L.M.; Moroni, G.; Bonelli, G.; Sinico, R.A.; Alberici, F.; Mescia, F.; Moroni, L.; et al. Long Term Outcomes of Anti-COVID-19 Vaccines in Patients with Systemic Lupus Erythematosus: A Multicentre Study. Vaccines 2025, 13, 735. https://doi.org/10.3390/vaccines13070735

AMA Style

Benanti G, Ramirez GA, Schioppo T, Argolini LM, Moroni G, Bonelli G, Sinico RA, Alberici F, Mescia F, Moroni L, et al. Long Term Outcomes of Anti-COVID-19 Vaccines in Patients with Systemic Lupus Erythematosus: A Multicentre Study. Vaccines. 2025; 13(7):735. https://doi.org/10.3390/vaccines13070735

Chicago/Turabian Style

Benanti, Giovanni, Giuseppe A. Ramirez, Tommaso Schioppo, Lorenza Maria Argolini, Gabriella Moroni, Grazia Bonelli, Renato Alberto Sinico, Federico Alberici, Federica Mescia, Luca Moroni, and et al. 2025. "Long Term Outcomes of Anti-COVID-19 Vaccines in Patients with Systemic Lupus Erythematosus: A Multicentre Study" Vaccines 13, no. 7: 735. https://doi.org/10.3390/vaccines13070735

APA Style

Benanti, G., Ramirez, G. A., Schioppo, T., Argolini, L. M., Moroni, G., Bonelli, G., Sinico, R. A., Alberici, F., Mescia, F., Moroni, L., Gallina, G. D., Venerandi, B., Tamborini, F., Bellocchi, C., Beretta, L., Caporali, R., Bozzolo, E., Dagna, L., & Gerosa, M. (2025). Long Term Outcomes of Anti-COVID-19 Vaccines in Patients with Systemic Lupus Erythematosus: A Multicentre Study. Vaccines, 13(7), 735. https://doi.org/10.3390/vaccines13070735

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop