Literature DB >> 34109466

Antibody response to inactivated COVID-19 vaccine (CoronaVac) in immune-mediated diseases: a controlled study among hospital workers and elderly.

Emire Seyahi1, Guldaran Bakhdiyarli2, Mert Oztas3, Mert Ahmet Kuskucu4, Yesim Tok4, Necdet Sut5, Guzin Ozcifci6, Ali Ozcaglayan6, Ilker Inanc Balkan7, Nese Saltoglu7, Fehmi Tabak7, Vedat Hamuryudan3.   

Abstract

OBJECTIVE: To assess antibody response to inactivated COVID-19 vaccine in patients with immune-mediated diseases (IMD) among hospital workers and people aged 65 and older.
METHODS: In this cross-sectional study, we studied 82 hospital workers with IMD (mean age: 42.2 ± 10.0 years) and 300 (mean age: 41.7 ± 9.9 years) controls. Among + 65 aged population, we studied 22 (mean age: 71.4 ± 4.5 years) patients and 47 controls (mean age: 70.9 ± 4.8 years). All study subjects had a negative history for COVID-19. Sera were obtained after at least 21 days following the second vaccination. Anti-spike IgG antibody titers were measured quantitatively using a commercially available immunoassay method.
RESULTS: Patients with IMD were significantly less likely to have detectable antibodies than healthy controls both among the hospital workers (92.7% vs 99.7%, p < 0.001) and elderly population (77.3% vs 97.9%, p = 0.011). Among patients with IMD, those using immunosuppressive or immune-modulating drugs (64/75, 85.3%) were significantly less likely to have detectable antibodies compared to those off treatment (29/29, 100%) (p = 0.029). Additionally, a negative association between age and the antibody titer categories among patients (r = - 0.352; p < 0.001) and controls (r = - 0.258; p < 0.001) were demonstrated.
CONCLUSIONS: Among hospital workers, the vast majority of patients with IMD and immunocompetent controls developed a significant humoral response following the administration of the second dose of inactivated COVID-19 vaccine. This was also true for the elderly population, albeit with lower antibody titers. Immunosuppressive use, particularly rituximab significantly reduced antibody titers. Antibody titers were significantly lower among those aged ≥ 60 years both in patient and control populations. Whether these individuals should get a booster dose warrants further studies.

Entities:  

Keywords:  Antibody to S1 spike protein; COVID-19; CoronaVac; Elderly; Hospital workers; Inflammatory diseases; Seroprevalence; Vaccination

Mesh:

Substances:

Year:  2021        PMID: 34109466      PMCID: PMC8188953          DOI: 10.1007/s00296-021-04910-7

Source DB:  PubMed          Journal:  Rheumatol Int        ISSN: 0172-8172            Impact factor:   2.631


Introduction

The COVID-19 pandemic has been globally responsible for 169,118,995 confirmed cases and 3,398,302 deaths as of 30 May 2021 [1]. Multiple potential vaccines against COVID-19 have been developed at an unprecedented speed and as of December 2020, mass vaccination programs were started worldwide. As a result, within 6 months a total of 1,546,316,352 vaccine doses have been administered [1]. As of January 13, 2021, Turkey granted emergency use authorization to ‘CoronaVac’ produced by Chinese biopharmaceutical company Sinovac [2-4]. CoronaVac is a chemically inactivated vaccine developed against SARS-CoV-2 [5, 6]. As the phase III trial of CoronaVac was still ongoing the authorization was based on the published results on phase I and II trials [5, 6] and unpublished results on “interim analyses” [7]. When the current study took place Turkey had made agreement with only Sinovac and CoronaVac was the only vaccine available in the country [2-4]. Current guidelines [8] recommend vaccinating patients with autoimmune and inflammatory rheumatic diseases (AIIRD) whether or not they are using immuno-modulatory agents based on their risk for COVID-19 and these patients are now prioritized for vaccination in many countries [9-11]. Since registration trials of vaccines against SARS-CoV-2 did not include patients with AIIRD [12, 13] and current evidence from pre COVID-19 era literature is scarce, there are many unknown questions at this time. Major concern is the uncertainty about whether these patients can mount a protective immune response to vaccine either because of their inherent immunocompromised status or because of the effect of commonly used biological and non-biological disease modifying anti-rheumatic drugs (DMARDs) [14, 15]. The same concerns are also true for the elderly population who are at increased risk for severe COVID-19 [16] and usually excluded from the vaccine trials. We, therefore, in this study evaluated the humoral immune response of patients with immune-mediated diseases (IMD) to inactivated COVID-19 vaccine compared to immunocompetent controls. Healthcare workers of a single university hospital and elderly population who were prioritized for vaccination during the first months of the vaccination campaign in Istanbul, Turkey constituted our study population.

Patients and methods

Vaccination program in Turkey

On January 14, 2021, a mass vaccination campaign started first with healthcare workers and then continued with the elderly after January 28 (Fig. 1). Vaccine inoculation was done with two shots of CoronaVac 4 weeks apart.
Fig. 1

Study enrollment

Study enrollment

Study population

This cross-sectional study was conducted at Cerrahpasa Medical Faculty of Istanbul University-Cerrahpasa during the first months of the vaccination roll-out, between January 14 and May 2, 2021. Hospital workers (aged between 21 and 64) and elderly people (aged between 65 and 90) who attended the COVID-19 vaccine center for their scheduled vaccine appointment constituted the source of our study population. Those who volunteered to participate in the study fulfilled a standardized survey (electronic supplement material) that assessed demographic and health-related characteristics. The survey form was distributed to eligible participants at the day of the first dose of vaccination. The survey included questions about basic demographic information, body and height measures, smoking status, current medications, previous COVID-19 diagnosis, and history of rheumatic diseases, inflammatory disease, malignancy (solid organ or hematologic), transplantation, or immune-suppressive use. Comorbid diseases were identified according to Charlson index list [17]. Those who had contracted COVID-19 verified with positive PCR test or those who were considered symptomatic for COVID-19 infection but had negative PCR test were not included in the study. Moreover, only those who got two shots of CoronaVac were studied. Figure 1 shows the flowchart of the enrollment of patients and controls. Patients with IMD were defined as all those who had a history of inflammatory disease including rheumatic diseases, psoriasis, inflammatory bowel diseases and multiple sclerosis currently under medical treatment or off treatment or any condition that requires chronic immunosuppressive use. These patients with IMD were later interviewed with telephone to collect information about disease duration and current and previous treatments. Immunosuppressive use during the vaccination period and the last three months before the vaccination was specifically sought. Thus, we identified 98 patients with IMD among the hospital workers population and 25 patients with IMD among the elderly population. We assigned two separate age and gender matched control groups for the two patient groups with an allocation ratio of 1:3 to study age effect better in a large control population. Therefore, as control groups, we planned to study 300 and 75 individuals with no IMD selected consecutively among the eligible candidates of the hospital workers and elderly populations, respectively. Patients and controls were invited for blood collection 3 weeks after their second dose of vaccination. A total of 104 patients (82 hospital workers and 22 elderly) and 347 controls (300 hospital workers and 47 elderly) accepted our invitation. It has to be noted that most of the elderly who refused our invitation expressed their concerns about coming to the hospital because of the ongoing pandemic. All blood samples were collected between March 9 and May 2, 2021.

Description of disease subgroups and treatment regimens

We preferred to label the patient population as patients with IMD although all rheumatic or inflammatory diseases included here are not immune mediated. To study the effect of different disease subgroups and immunosuppressive agents we combined all 104 patients with IMD (hospital workers and elderly) and categorized into subgroups. We defined disease subsets as rheumatoid arthritis (RA) (n = 19); connective tissue diseases (CTD) (n = 17), spondylarthropathies (SPA)/inflammatory bowel diseases (IBD) (n = 29), Behcet’s syndrome (BS) (n = 16), familial Mediterranean fever (FMF) (n = 10), multiple sclerosis (MS) (n = 5) and vasculitis (n = 7). One kidney transplant recipient was excluded from these analyses. We categorized treatment regimens as rituximab (RTX)-based treatment (n = 7), non-RTX biological agents-based treatment (n = 25), conventional DMARDs-based treatment (n = 27), colchicine (n = 13) and other immune-modulating drugs (such as fingolimod: n = 1 and dimethyl fumarate: n = 2) and no treatment (n = 29).

Antibody testing

All sera samples were aliquoted after centrifugation of peripheral blood tubes at 800 × g for 12 min and sera samples were kept in – 20 ℃ until the study day. Minimum 100 μL of serum was required for analysis. For detection of antibodies against receptor binding domain of the S1 spike protein (anti-spike SARS-CoV-2 IgG) we used the commercially available Elecsys® Anti-SARS-CoV-2 assay (Roche Diagnostics International Ltd, Rotkreuz, Switzerland) [18]. Quantitative results were determined using in vitro immunoassay. A cut-off value of ≥ 0.8 U/mL was accepted as positive according to the manufacturer’s instructions [18]. The upper limit of detection by the assay was 250 U/mL.

Statistical methods

Numeric results were expressed as mean ± standard deviation or median (minimum–maximum), and categorical results were expressed as n (%). Categorical variables were compared using Pearson, Yates or Fisher chi-square test and continuous variables with Student’s t test or Mann–Whitney U test. Spearmen correlation test was used to investigate association between antibody titer and age. We calculated age adjusted Charlson comorbidity index as reported [17]. We analyzed antibody titers categorically. In the current study, among 300 controls (< 65 years of age), 109 (36.3%) had antibody titers > 250 U/mL, 88 (29.3%) had between 250 and 117 U/mL and 103 (34.3%) < 117 U/mL. Therefore, we identified high, medium and low titers as upper 35th (> 250 U/mL), middle 30th (between 250 and 117 U/mL) and lower 35th percentile (< 117 U/mL). The effect of age (≥ 60 years), gender, body mass index, smoking and having IMD on positive antibody test was investigated using multivariate logistic regression analysis. A p value of less than 0.05 was accepted as statistical significance. IBM SPSS Statistics for Windows, v.20.0 (IBM Corp., Armonk, NY, USA) was used in the statistical analysis.

Results

Among hospital workers, we studied 82 (29 M/ 53 F; mean age: 42.2 ± 10.0 years) patients with IMD and 300 (107 M/ 193 F; mean age: 41.7 ± 9.9 years) controls (Table 1 and 2). Among + 65 aged population, on the other hand, we studied 22 (6 M/ 16 F; mean age: 71.4 ± 4.5 years) patients with IMD and 47 controls (23 M/ 24 F; mean age: 70.9 ± 4.8 years).
Table 1

Demographic and clinical characteristics of the patients with immune-mediated diseases

Hospital workers, n = 82Elderly population, n = 22
M/F, n29/536/16
Mean age, SD years42.2 ± 10.071.4 ± 4.5
Disease duration, median [IQR] years8.0 [4.8–15.0]9 [2.5–17.8]
Diagnosis, n (%)
 Rheumatoid arthritis11 (13.4)8 (36.4)
 Connective tissue diseasesa12 (14.6)5 (22.7)
 Spondylarthropathiesb23 (28.0)1 (4.5)
 Behçet’s syndrome14 (17.1)2 (9.1)
 Familial Mediterranean fever9 (11.0)1 (4.5)
 Vasculitis4 (4.9)3 (13.7)
 Inflammatory bowel diseases3 (3.7)2 (9.1)
 Otherc6 (7.3)0
Medical treatment, n (%)
 Off treatment for at least 3 months27 (32.9)2 (9.1)
 Currently under medical treatment55 (67.1)20 (90.9)
  Prednisolone7 (12.1)10 (50.0)
  Biological agentsd23 (39.7)9 (45.0)
  Conventional DMARDse21 (36.2)6 (30.0)
  Colchicine15 (25.9)1 (5.0)
  Hydroxychloroquine7 (12.1)5 (25.0)

aHospital workers (systemic lupus erythematosus: n = 8, Sjögren syndrome: n = 4); elderly (systemic lupus erythematosus: n = 1, Sjögren syndrome: n = 3, polymyositis: n = 1)

bHospital workers (ankylosing spondylitis: n = 16, psoriasis or psoriatic arthritis: n = 7); elderly (ankylosing spondylitis: n = 1)

cHospital workers (multiple sclerosis: n = 5, kidney transplant recipient: n = 1)

dHospital workers (anti-TNF agents: n = 14, secukinumab: n = 3, rituximab: n = 4, interferon-alpha: n = 1, anakinra: n = 1); elderly (anti-TNF agents: n = 3, rituximab: n = 3, tocilizumab: n = 2, interferon-alpha: n = 1)

eHospital workers (methotrexate: n = 8, azathioprine: n = 6, leflunomide: n = 1, sulfasalazine: n = 3, mycophenolic acid: n = 2, tacrolimus: n = 1); elderly (methotrexate: n = 3, azathioprine: n = 2, leflunomide: n = 1)

Table 2

Demographic characteristics, comorbidity and antibody titers in patient and control groups among hospital workers and elderly population

Hospital workersElderly population
Patients with IMD(n = 82)Controls(n = 300)pPatients with IMD(n = 22)Controls(n = 47)p
Age, mean ± SD, year

42.2 ± 10.0

(min:22, max:64)

41.7 ± 9.9

(min:21, max:62)

0.681

71.4 ± 4.5

(min:65, max:81)

70.9 ± 4.8

(min:65, max:82)

0.675
Gender, female, n (%)53 (64.6)193 (64.3)0.96016 (72.7)24 (51.1)0.089
BMI, mean ± SD25.98 ± 4.4425.06 ± 3.810.06528.64 ± 6.0828.25 ± 4.600.776
Smoking (current and past), n (%)51 (62.2)136 (45.3)0.00413 (59.1)26 (55.3)0.800
Charlson comorbidity index, median (min–max)1 (0–3)0 (0–2) < 0.0015 (2–10)3 (2–8)0.001
Detectable antibody, n (%)76 (92.7)299 (99.7) < 0.00117 (77.3)46 (97.9)0.011
Antibody titers0.4430.045
High (> 250 U/mL)28 (34.1)109 (36.3)2 (9.1)7 (14.9)
Medium (117 ≤ and ≤ 250 U/mL)21 (25.6)88 (29.3)09 (19.1)
Low (< 117 U/mL)33 (40.2)103 (34.3)20 (90.9)31 (66.0)

IMD immune-mediated diseases; BMI body mass index; min minimum; max maximum

Demographic and clinical characteristics of the patients with immune-mediated diseases aHospital workers (systemic lupus erythematosus: n = 8, Sjögren syndrome: n = 4); elderly (systemic lupus erythematosus: n = 1, Sjögren syndrome: n = 3, polymyositis: n = 1) bHospital workers (ankylosing spondylitis: n = 16, psoriasis or psoriatic arthritis: n = 7); elderly (ankylosing spondylitis: n = 1) cHospital workers (multiple sclerosis: n = 5, kidney transplant recipient: n = 1) dHospital workers (anti-TNF agents: n = 14, secukinumab: n = 3, rituximab: n = 4, interferon-alpha: n = 1, anakinra: n = 1); elderly (anti-TNF agents: n = 3, rituximab: n = 3, tocilizumab: n = 2, interferon-alpha: n = 1) eHospital workers (methotrexate: n = 8, azathioprine: n = 6, leflunomide: n = 1, sulfasalazine: n = 3, mycophenolic acid: n = 2, tacrolimus: n = 1); elderly (methotrexate: n = 3, azathioprine: n = 2, leflunomide: n = 1) Demographic characteristics, comorbidity and antibody titers in patient and control groups among hospital workers and elderly population 42.2 ± 10.0 (min:22, max:64) 41.7 ± 9.9 (min:21, max:62) 71.4 ± 4.5 (min:65, max:81) 70.9 ± 4.8 (min:65, max:82) IMD immune-mediated diseases; BMI body mass index; min minimum; max maximum

Clinical characteristics and immunosuppressive treatment of the patients with IMD

Patients with IMD had various diagnoses with the majority being rheumatic diseases as shown in Table 1. Apart from rheumatic diseases, patients have psoriasis (n = 3), inflammatory bowel diseases (n = 5), and multiple sclerosis (n = 5). There was one kidney transplant recipient included in the study because of his using immunosuppressive drugs. At the time of vaccination and for at least 3 months before vaccination, 32.9% and 9.1% of the patients among the hospital workers and elderly, respectively, were not using any immunosuppressive, corticosteroids or colchicine. Biological disease modifying anti-rheumatic drugs (DMARD’s) and conventional DMARD’s were the most commonly used drugs by the two patient groups (Table 1).

Antibody results

Study groups Mean time interval after the second dose of vaccination to blood collection was 30.7 ± 9.0 days for the whole study population (patients: 27.3 ± 7.6; min–max: 19–68; controls: 31.7 ± 9.1; min–max: 19–57). Patients with IMD and their respective controls were similar with regards to age, gender and body mass index (Table 2). Age adjusted Charlson comorbidity index was significantly higher among patients with IMD compared to controls in both hospital workers and elderly population (Table 2). Among hospital workers, patients with IMD were less likely to have detectable antibodies than controls (92.7% vs 99.7%, p < 0.001) (Table 2). This was also true for those patients with IMD in the elderly population (77.3% vs 97.9%, p = 0.011) (Table 2). While categorical antibody titers did not differ between patients and controls among hospital workers; elderly patients had significantly lower levels compared to elderly controls (p = 0.045) as shown in Table 2 and Fig. 2.
Fig. 2

Distribution of categorized antibody titers in the study groups

Patients with IMD (hospital workers and elderly population combined) The frequency of those with detectable antibody did not differ between different subgroups (RA: 15/19, 78.9%; CTD: 14/17, 82.4%; SPA/IBD: 28/29, 96.6%; BS: 15/16, 93.8%; FMF: 10/10, 100%; MS: 5/5, 100% and vasculitis: 5/7, 71.4%; p = 0.170). On the other hand, categorized antibody titers showed significant difference across disease subgroups (p = 0.037), as shown in Fig. 3A. While patients with vasculitis and CTD had the lowest titers, patients with FMF, BS and MS had the highest titers (Fig. 3A).
Fig. 3

Categorized antibody titers between disease subgroups (A) and different treatment regimens (B). RA rheumatoid arthritis, CTD connective tissue disease, SPA spondyloarthropathies, IBD inflammatory bowel diseases, BS Behcet’s syndrome, FMF familial Mediterranean fever, MS multiple sclerosis. Patient with kidney transplant recipient was excluded from disease subgroup analysis RTX rituximab, DMARD disease modifying anti-rheumatic drug. aOther immune-modulating drugs such as fingolimod and dimethyl fumarate

Analysis between different treatment regimen subgroups showed significant differences with regard to positivity (p < 0.001) and categorized antibody titers (p < 0.001) (Table 3). Those who were receiving rituximab-based treatment (1/7, 14.3%), were significantly less likely to have detectable antibodies compared to those who were using non-RTX biological agents-based treatment (22/25, 88%), conventional DMARDs-based treatment (25/27, 92.6%), colchicine and MS drugs (16/16, 100%) or no treatment (29/29, 100%) (p < 0.001). Categorized antibody titers are shown in Table 3 and Fig. 3B. It is apparent that those who are using either biological agents (particularly RTX) or conventional DMARDs had significantly reduced antibody titers compared to those who are not using any immunosuppressive treatment (Table 3 and Fig. 3B). On the other hand, colchicine and immune-modulating drugs used in MS seemed to not affect antibody titers.
Table 3

Detectable antibody test and categorized antibody titers among patients with immune-mediated diseases (hospital workers and elderly combined)

RTX based regimenn = 7Non-RTX biological agents-based regimenn = 25Conventional DMARDs-based regimenn = 27Colchicine or other drugsan = 16No treatmentn = 29p
Detectable antibody, n (%)1 (14.3)22 (88.0)25 (92.6)16 (100.0)29 (100.0) < 0.001
Categorized antibody titers < 0.001
High (> 250 U/mL)07 (28.0)5 (18.5)4 (25.0)15 (51.7)
Medium (117 ≤ and ≤ 250 U/mL)02 (8.0)3 (11.1)9 (56.2)7 (24.1)
Low (< 117 U/mL)7 (100.0)16 (64.0)19 (70.4)3 (18.8)7 (24.1)

RTX rituximab, DMARD disease modifying anti-rheumatic drug

aOther immune-modulating drugs such as fingolimod and dimethyl fumarate

Age effect on categorized antibody titers Additionally, we found a negative association between age and categorized antibody titers among patients with IMD (r = − 0.352; p < 0.001) as well as among the controls (r = − 0.258; p < 0.001). As shown in Fig. 4, both in patients (Fig. 4A) and controls (Fig. 4B), antibody titers started to decrease after third decade of life and dropped significantly after the sixth (p < 0.001 for both patients and controls).
Fig. 4

Categorized antibody titers according to decades among patients (A) and controls (B)

Multivariate logistic regression analysis The effect of age (≥ 60 years), gender, body mass index, smoking and having IMD were investigated using multivariate logistic regression analysis in the whole study cohort. Being diagnosed as IMD [OR 17.31; 95% CI (3.57–85.95), p < 0.001] and being 60 years or more [OR 4.32; 95% CI (1.20–15.50), p = 0.025] were found to be independently associated with having negative antibody result. Distribution of categorized antibody titers in the study groups Categorized antibody titers between disease subgroups (A) and different treatment regimens (B). RA rheumatoid arthritis, CTD connective tissue disease, SPA spondyloarthropathies, IBD inflammatory bowel diseases, BS Behcet’s syndrome, FMF familial Mediterranean fever, MS multiple sclerosis. Patient with kidney transplant recipient was excluded from disease subgroup analysis RTX rituximab, DMARD disease modifying anti-rheumatic drug. aOther immune-modulating drugs such as fingolimod and dimethyl fumarate Detectable antibody test and categorized antibody titers among patients with immune-mediated diseases (hospital workers and elderly combined) RTX rituximab, DMARD disease modifying anti-rheumatic drug aOther immune-modulating drugs such as fingolimod and dimethyl fumarate Categorized antibody titers according to decades among patients (A) and controls (B)

Discussion

In this study of the antibody response to two doses of inactivated SARS-CoV-2 vaccine among patients with IMD and a large cohort of controls, the majority had detectable anti-spike antibody responses. This was also true for the elderly. However, those who were using immunosuppressives (either biological or conventional DMARD’s) were found to have significantly lower levels of antibody titers than those who were off treatment. Additionally, the study revealed a significant negative association between age and antibody titers in both patient and control populations. Finally, having IMD and being older (≥ 60 years) were found to be independently associated with a negative antibody response in the whole study population. Antibody response to vaccine against SARS-CoV-2 in patients with IMD or patients on immunosuppression has been investigated in a few studies recently [19-24] and notably in all, mRNA vaccine was studied. To our knowledge, ours is the first with chemically inactivated vaccine (CoronaVac). The results of the current study are important in that, we were able to investigate patients with IMD and elderly two different populations primarily at risk for severe COVID-19 and usually omitted from the vaccine trials [12, 13, 16]. Our study revealed that patients with vasculitis and CTD had significantly lower levels of antibody titers compared to those with RA, SPA/IBH, BS, FMF and MS. Those who were using any immunosuppressive drug (either conventional or biological) were significantly less likely to develop high antibody titers compared to those who were not. This effect was more pronounced among those receiving RTX-based regimens of whom only one in seven patients developed positive antibody response. Colchicine and immune-modulating drugs used in MS on the other hand did not seem to have a negative impact on the antibody response. Our results are in line with the recent literature [19-24]. Reduced antibody titers and negative effect of DMARDs among patients with IMD were reported in the majority of the studies investigating mRNA vaccine response. It appears that, almost all DMARDs including Janus kinase inhibitors and methotrexate blunt humoral responses, while B cell depletion and glucocorticoids exert the strongest effect. On the other hand, Simon et al. suggested that the delayed and reduced antibody response was associated with inherent disease itself rather than the concomitant treatment [24]. Moreover, it appears that the situation is much worse for the solid organ transplant recipients [25-27]. An inadequate antibody response to mRNA SARS-CoV-2 vaccination was demonstrated in several patient populations [25-27]. Similar observations can be found in other inactivated vaccine studies such as those against influenza or hepatitis [28-33]. These vaccines could be able to induce significant humoral responses in patients with autoimmune diseases. However, the antibody response was observed to be blunted in those treated with methotrexate, azathioprine, mycophenolate mofetil or with CD20-depleting antibodies. Immunosenescence, described as the impairment of both innate and adaptive immune functions in the elderly is rather well known [34-36]. It results in increased susceptibility to infectious diseases and a diminished vaccine effectiveness. Compared to younger individuals, in older people, the amount of post-vaccination antibody titers is significantly reduced. Moreover, the titers decline more rapidly. Comorbidities such as cardiovascular disease, diabetes, and obesity could also contribute to the lower humoral response in the elderly. It has to be noted that, age adjusted Charlson comorbidity index was also significantly higher in the elderly in our study. It has to be reminded that the presence of antibodies does not explain whether they ensure protection from COVID-19. There is also a need to establish a threshold antibody titer for protective immunity. This study has several limitations. We did not assess the neutralizing activity of the vaccinee serum against SARS-CoV-2 or determine T cell responses. We could not quantitate exact antibody titers of those with upper limit (> 250 U/mL) determined by the immunoassay. This led us to do categoric analysis of antibody titers, which may have resulted loss of data. Sample size of the patients with IMD and elderly was small. All patients and controls had a negative history for COVID-19, however, we did not test anti–SARS-CoV-2 antibodies on the day of the first vaccine injection. This is especially important as the great majority of the study population was composed of hospital workers. Nevertheless, it has to be said that the most of the hospital workers have been tested for COVID-19 more frequently than the general population throughout the pandemic. Finally, we did not assess formally side effects of the vaccine nor evaluated exacerbations after vaccination in patients with IMD or the elderly.

Conclusions

We found a robust antibody response to inactivated vaccine against SARS-CoV-2 among patients with IMD as well as immunocompetent controls. This was also true for the elderly. However, those who were using immunosuppressive treatment (particularly rituximab) and elderly had reduced antibody titers. Caution, close surveillance and perhaps earlier revaccination could be recommended for those using immunosuppressives and the elderly. Further studies should assess whether the low antibody titers are associated with diminished protection against COVID-19. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 16 KB)
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Journal:  J Korean Med Sci       Date:  2021-03-29       Impact factor: 2.153

7.  Effect of Immunosuppression on the Immunogenicity of mRNA Vaccines to SARS-CoV-2 : A Prospective Cohort Study.

Authors:  Parakkal Deepak; Wooseob Kim; Michael A Paley; Monica Yang; Alexander B Carvidi; Emanuel G Demissie; Alia A El-Qunni; Alem Haile; Katherine Huang; Baylee Kinnett; Mariel J Liebeskind; Zhuoming Liu; Lily E McMorrow; Diana Paez; Niti Pawar; Dana C Perantie; Rebecca E Schriefer; Shannon E Sides; Mahima Thapa; Maté Gergely; Suha Abushamma; Sewuese Akuse; Michael Klebert; Lynne Mitchell; Darren Nix; Jonathan Graf; Kimberly E Taylor; Salim Chahin; Matthew A Ciorba; Patricia Katz; Mehrdad Matloubian; Jane A O'Halloran; Rachel M Presti; Gregory F Wu; Sean P J Whelan; William J Buchser; Lianne S Gensler; Mary C Nakamura; Ali H Ellebedy; Alfred H J Kim
Journal:  Ann Intern Med       Date:  2021-08-31       Impact factor: 25.391

8.  Safety, tolerability, and immunogenicity of an inactivated SARS-CoV-2 vaccine in healthy adults aged 18-59 years: a randomised, double-blind, placebo-controlled, phase 1/2 clinical trial.

Authors:  Yanjun Zhang; Gang Zeng; Hongxing Pan; Changgui Li; Yaling Hu; Kai Chu; Weixiao Han; Zhen Chen; Rong Tang; Weidong Yin; Xin Chen; Yuansheng Hu; Xiaoyong Liu; Congbing Jiang; Jingxin Li; Minnan Yang; Yan Song; Xiangxi Wang; Qiang Gao; Fengcai Zhu
Journal:  Lancet Infect Dis       Date:  2020-11-17       Impact factor: 25.071

9.  American College of Rheumatology Guidance for COVID-19 Vaccination in Patients With Rheumatic and Musculoskeletal Diseases: Version 3.

Authors:  Jeffrey R Curtis; Sindhu R Johnson; Donald D Anthony; Reuben J Arasaratnam; Lindsey R Baden; Anne R Bass; Cassandra Calabrese; Ellen M Gravallese; Rafael Harpaz; Andrew Kroger; Rebecca E Sadun; Amy S Turner; Eleanor Anderson Williams; Ted R Mikuls
Journal:  Arthritis Rheumatol       Date:  2021-08-04       Impact factor: 15.483

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  27 in total

1.  Higher antibody responses after mRNA-based vaccine compared to inactivated vaccine against SARS-CoV-2 in Behcet's syndrome.

Authors:  Ayse Ozdede; Okan Kadir Nohut; Zeynep Atli; Yeşim Tuyji Tok; Sabriye Guner; Erkan Yilmaz; Didar Ucar; Ugur Uygunoglu; Vedat Hamuryudan; Emire Seyahi
Journal:  Rheumatol Int       Date:  2022-07-02       Impact factor: 3.580

2.  Effectiveness of delayed second dose of AZD1222 vaccine in patients with autoimmune rheumatic disease.

Authors:  Pankti Mehta; Aby Paul; Sakir Ahmed; Somy Cherian; Ameya Panthak; Janet Benny; Padmanabha Shenoy
Journal:  Clin Rheumatol       Date:  2022-06-28       Impact factor: 3.650

3.  Predictors of Immunogenic Response to the BNT162b2 mRNA COVID-19 Vaccination in Patients with Autoimmune Inflammatory Rheumatic Diseases Treated with Rituximab.

Authors:  Victoria Furer; Tali Eviatar; Devy Zisman; Hagit Peleg; Yolanda Braun-Moscovici; Alexandra Balbir-Gurman; Daphna Paran; David Levartovsky; Michael Zisapel; Ofir Elalouf; Ilana Kaufman; Adi Broyde; Ari Polachek; Joy Feld; Amir Haddad; Tal Gazitt; Muna Elias; Nizar Higazi; Fadi Kharouf; Sara Pel; Sharon Nevo; Ori Elkayam
Journal:  Vaccines (Basel)       Date:  2022-06-06

4.  Heterologous booster COVID-19 vaccination elicited potent immune responses in HCWs.

Authors:  Neşe Saltoğlu; Harika Öykü Dinç; İlker İnanç Balkan; Günay Can; Doğukan Özbey; Ayşe Nur Beytur; Elif Keskin; Beyhan Budak; Okan Aydoğan; Bilgül Mete; Rıdvan Karaali; Sevgi Ergin; Bekir Kocazeybek
Journal:  Diagn Microbiol Infect Dis       Date:  2022-07-01       Impact factor: 2.983

5.  Immunogenicity and safety of the CoronaVac inactivated vaccine in patients with autoimmune rheumatic diseases: a phase 4 trial.

Authors:  Ana C Medeiros-Ribeiro; Nadia E Aikawa; Carla G S Saad; Emily F N Yuki; Tatiana Pedrosa; Solange R G Fusco; Priscila T Rojo; Rosa M R Pereira; Samuel K Shinjo; Danieli C O Andrade; Percival D Sampaio-Barros; Carolina T Ribeiro; Giordano B H Deveza; Victor A O Martins; Clovis A Silva; Marta H Lopes; Alberto J S Duarte; Leila Antonangelo; Ester C Sabino; Esper G Kallas; Sandra G Pasoto; Eloisa Bonfa
Journal:  Nat Med       Date:  2021-07-30       Impact factor: 53.440

6.  Guidelines on COVID-19 vaccination in patients with immune-mediated rheumatic diseases: a Brazilian Society of Rheumatology task force.

Authors:  Anna Carolina Faria Moreira Gomes Tavares; Ana Karla Guedes de Melo; Vítor Alves Cruz; Viviane Angelina de Souza; Joana Starling de Carvalho; Ketty Lysie Libardi Lira Machado; Lilian David de Azevedo Valadares; Edgard Torres Dos Reis Neto; Rodrigo Poubel Vieira de Rezende; Maria Fernanda Brandão de Resende Guimarães; Gilda Aparecida Ferreira; Alessandra de Sousa Braz; Rejane Maria Rodrigues de Abreu Vieira; Marcelo de Medeiros Pinheiro; Sandra Lúcia Euzébio Ribeiro; Blanca Elena Gomes Rios Bica; Kátia Lino Baptista; Izaias Pereira da Costa; Claudia Diniz Lopes Marques; Maria Lúcia Lemos Lopes; José Eduardo Martinez; Rina Dalva Neubarth Giorgi; Lícia Maria Henrique da Mota; Marcos Antônio Araújo da Rocha Loures; Eduardo Dos Santos Paiva; Odirlei André Monticielo; Ricardo Machado Xavier; Adriana Maria Kakehasi; Gecilmara Cristina Salviato Pileggi
Journal:  Adv Rheumatol       Date:  2022-01-17

Review 7.  A Systematic Review on COVID-19 Vaccine Strategies, Their Effectiveness, and Issues.

Authors:  Shahad Saif Khandker; Brian Godman; Md Irfan Jawad; Bushra Ayat Meghla; Taslima Akter Tisha; Mohib Ullah Khondoker; Md Ahsanul Haq; Jaykaran Charan; Ali Azam Talukder; Nafisa Azmuda; Shahana Sharmin; Mohd Raeed Jamiruddin; Mainul Haque; Nihad Adnan
Journal:  Vaccines (Basel)       Date:  2021-11-24

Review 8.  Short-term effectiveness of COVID-19 vaccines in immunocompromised patients: A systematic literature review and meta-analysis.

Authors:  Alexandre R Marra; Takaaki Kobayashi; Hiroyuki Suzuki; Mohammed Alsuhaibani; Bruna Marques Tofaneto; Luigi Makowski Bariani; Mariana de Amorim Auler; Jorge L Salinas; Michael B Edmond; Michelle Doll; José Mauro Kutner; João Renato Rebello Pinho; Luiz Vicente Rizzo; João Luiz Miraglia; Marin L Schweizer
Journal:  J Infect       Date:  2022-01-01       Impact factor: 38.637

9.  Monoclonal Antibodies for the Prevention and Treatment of COVID-19 Disease in Patients With Hematological Malignancies: Two Case Reports and a Literature Review.

Authors:  David Klank; Martin Hoffmann; Bernd Claus; Florian Zinke; Raoul Bergner; Peter Paschka
Journal:  Hemasphere       Date:  2021-10-27

10.  Immunogenicity and safety of the CoronaVac vaccine in patients with cancer receiving active systemic therapy.

Authors:  Cengiz Karacin; Tulay Eren; Esra Zeynelgil; Goksen Inanc Imamoglu; Mustafa Altinbas; Ibrahim Karadag; Fatma Bugdayci Basal; Irem Bilgetekin; Osman Sutcuoglu; Ozan Yazici; Nuriye Ozdemir; Ahmet Ozet; Yesim Yildiz; Selin Akturk Esen; Gokhan Ucar; Dogan Uncu; Bedia Dinc; Musa Baris Aykan; İsmail Erturk; Nuri Karadurmus; Burak Civelek; İsmail Çelik; Yakup Ergun; Mutlu Dogan; Omur Berna Oksuzoglu
Journal:  Future Oncol       Date:  2021-08-03       Impact factor: 3.404

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