| Literature DB >> 35639259 |
Pankti Mehta1, Armen Yuri Gasparyan2, Olena Zimba3, George D Kitas4,5.
Abstract
Patients with systemic lupus erythematosus (SLE) form a vulnerable group in terms of the impact of the COVID-19 pandemic on disease management. We conducted this overview by searches through Medline/PubMed, Scopus, and the Directory of Open Access Journals (DOAJ). The prevalence and severity of COVID-19, efficacy of COVID-19 vaccination, impact on the management of SLE, and the attitudes of SLE patients to COVID-19 and vaccination were explored. After screening and due exclusions, 198 studies were included for the final review. Patients with SLE have a greater risk of acquiring COVID-19 (0.6-22%) and related hospitalization (30%), severe disease (13.5%), and death (6.5%) than the general population. Older age, male gender, comorbidities, moderate or high disease activity, and glucocorticoid, rituximab, and cyclophosphamide use are associated with unfavorable outcomes, whereas methotrexate and belimumab use showed no association with outcomes. COVID-19 vaccines are safe in SLE with minimal risk of severe flares (< 2%). Vaccine efficacy is negatively associated with glucocorticoids. The overall attitude of patients towards vaccination is positive (54-90%). The pandemic has negatively affected access to medical care, hospitalizations, procurement of drugs, employment, and the mental health of patients which need to be addressed as part of holistic care in SLE. Key Points • Lupus patients are at a greater risk of acquiring COVID-19, related hospitalization, severe disease, and death than the general population. • COVID-19 vaccines are relatively safe for lupus patients with minimal risk of severe flares. • Lupus patients' attitude towards COVID-19 vaccination is predominantly positive.Entities:
Keywords: COVID-19; COVID-19 vaccines; Glucocorticoids; Immunosuppressive agents; Mental health; Pandemics; Rituximab; SARS-CoV-2; Systemic; Vaccine efficacy
Mesh:
Substances:
Year: 2022 PMID: 35639259 PMCID: PMC9152659 DOI: 10.1007/s10067-022-06227-7
Source DB: PubMed Journal: Clin Rheumatol ISSN: 0770-3198 Impact factor: 3.650
Fig. 1Methodology of comprehensive and systematic searches through databases and registers
Studies of frequency of COVID-19 and its severity in lupus patients
| Study | Country | Type of study | SLE, | COVID-19, (PCR, presumptive) | Severe infections, | Hospitalizations, | Deaths, | Prevalence of COVID-19 in SLE, % | Prevalence of COVID-19 in general population, % | Drugs |
|---|---|---|---|---|---|---|---|---|---|---|
| Ramirez et al. 2020 [ | Italy (SMILE, Milan Lupus Consortium) | Q (web-based) | 417 | 5, 9 | - | 1(0.8) | 3.2 | 4 | No effect of HCQ (I) | |
| Pablos et al. 2020 [ | Spain | R | 2253 | - | - | - | - | 0.62 | 0.58 | - |
| Holubar et al. 2020 [ | France | T | 120 | -, 8 | - | 0 | - | 6.6 | 0.11 | No effect of HCQ (I) |
| Cordtz et al. 2021 [ | Denmark | Nationwide cohort study | 2533 | 95 | - | 18(18.9) | 3.7 | - | No effect of HCQ or GC, 3 times higher risk than general population (H) | |
| Fasano et al. 2020 [ | Italy (Napoli) | T | 268 | 1, 50 | 0 | 0 | 0 | 22.6 | - | No effect of HCQ (I) |
| Gendebiun et al. 2020 [ | Belgium | T | 225 | 5, 13 | 2 (11) | 0 | 8 | - | No effect of HCQ (H, I). Higher risk with Belimumab and GC (H) | |
| Marques et al. 2020 [ | Brazil (ReumaCov Brasil register) | P | - | 110 | 14 (12.7) | 20(18) | 11(10) | No effect of HCQ (I). GC and CYC (unfavorable outcomes) | ||
| Walters et al. 2020 [ | USA | P | 262 children | 11, 6 | 0 | 0 | 0 | |||
| Gartshteyn et al. 2020 [ | USA (Columbia lupus cohort and New York Presbyterian–Columbia database) | Case series | 450, 835 | 10, 8 | 3 (33) | 7(38) | - | 4 | 2 | - |
| Mathain et al. 2020[ | France | Case series | - | 17 | 11(64.7) | 14(82.3) | 2(11.7) | - | - | - |
| Zen et al. 2020[ | Italy (Padua cohort) | T | 397 | 1, 74 | - | - | - | 18.8 | - | - |
| Fernandez-Gutierrez et al. 2021 [ | USA (NYU Lupus Cohort, NYU-Bellevue EPIC reports, WARCOV referrals) | Q (web-based) | - | 42, 41 | 4 of 42(9) | 24 of 42(58.9) | 4 of 41 (9) | - | - | Non-White race, comorbidity, BMI (H) |
| Bertoglio et al. 2021[ | Brazil | Nationwide cohort study | - | 319, 63 (all hospitalized) | 251(65.7) | 382 | 154 (40) | - | - | - |
| Mageau et al. 2021[ | France | Hospital based | - | 190 (all hospitalized) | 190 (100), only severe cases included | 190 (0.2) | 62(32.6) | - | - | - |
| Espinosa et al. 2021[ | Spain | T | 400 | 4, 26 | 3(10) | 3(10) | 0 | 7.5 | 1.5 | No effect of HCQ (I) |
| Zucchi et al. 2021[ | Italy (Pisa) | T | 330 | 5, 1 | 2 (33) | 3(50) | 0 | 1.5 | - | No effect of HCQ. GC and biologics may increase risk (I) |
| Attauabi et al. 2021[ | Denmark | Population-based cohort study | 1159 | 9 | - | - | - | 2.14 | 1.84 | Older age, comorbidities, stopping IS (H), GC (severe disease) |
| Ramirez et al. 2021[ | Italy | Q (web-based) | 334 | 19, 9 | - | - | – | 8.3 | - | Active disease, GC, AZA, CsA, age (I) No effect of HCQ, Belimumab |
| Shobha et al. 2021[ | India | P | 561 | 4 | 0.7 | 0.22 | Lung disease, no effect of HCQ (I) | |||
| Saadoun et al. 2021[ | Europe | P | 605 | 28 | - | - | - | 4.6 | - | - |
| Clemente et al. 2021[ | Spain | R | 8 children | 1(12.5) | ||||||
| Schioppo et al. 2021[ | Italy | R | 830 | 51 | 3 (5) | 3(5) | - | 6.1 | - | GC and major organ disease were risk factors for symptomatic COVID-19 |
| Bachiller-Corral et al. 2021 [ | Spain | R | - | 254 | - | 4(1.5) | 2(0.75) | - | RTX (H) | |
| Assar et al. 2022[ | Iran | P | 260 | 58 | - | - | - | 22.3 | - | GC > 20 mg (I) |
| Ugarte-Gill et al. 2022, [ | Global | Registry based | - | 1606 | 213(13.5%) | 488(30.1%) | 105(6.5%) | - | - | Older age, male, not on treatment, GC, high disease activity and comorbidities (severe outcomes). RTX, MMF and CYC (poor outcomes) Belimumab and MTX showed no association |
Studies that have included cases of COVID-19 confirmed with RT PCR and presumptive cases with symptoms suggestive of COVID-19 without confirmation by RT PCR
Q questionnaire, T telephonic, R retrospective, P prospective, I infection, H hospitalization, GC glucocorticoid, AZA azathioprine, CsA cyclosporine, HCQ hydroxychloroquine, MTX methotrexate, PCR polymerase chain reaction
Fig. 2Factors associated with severity of COVID-19 in lupus patients. CYC, cyclophosphamide; MMF, mycophenolate mofetil; AZA, azathioprine
Studies of COVID-19 vaccination in lupus patients
| Study | Country | Vaccine | SLE, N | Local adverse events | Systemic adverse events | Severe adverse events | Flare | Positive humoral | Negative humoral |
|---|---|---|---|---|---|---|---|---|---|
| Bartels et al. 2021[ | Denmark, web-based Q | BNT162b2 | 182 | 78%, pain most common | 81%, headache and fatigue most common, greater than HC | 1.8% | - | - | - |
| Machado et al. 2021 [ | Europe, EULAR COVAX, physician-reported registry | BNT162b2, AZD1222, mRNA-1273 | 369 | Pain (20%) | Fatigue (12%), headache (6%) | 0.5% | 3%, severe < 1% | - | - |
| Moyon et al. 2022[ | France, P | BNT162b2 | 136 | Pain (67.5%) | Fatigue (39.7%), Headache 25% | - | 0.02% (mild) | Baseline Ig levels, B lymphocyte % | MMF, MTX |
| Izmirly et al. 2021[ | USA, NYU lupus cohort, P | BNT162b,/mRNA-1273, Ad26.COV2.S | 90 vs 20 HC | - | - | - | 11%, 1.3% severe | IS, normal dsDNA. 28% IgG response < 100U/, lower antibody response in SLE | |
| Ferri et al. 2021[ | Italy, P | BNT162b2, mRNA-1273 | 38 | Headache | - | - | 0.05% | - | MMF, RTX, GC |
| Zavala Flores et al., 2021 BNT162b2[ | Peru, prospective P | BNT162b2 | 100 | Pain (90%) | - | - | 27%, severe 2% | - | - |
| Esquivel-Valerio et al., 2021[ | Mexico, cross-sectional observational study | AZD1222, Ad5-nCoV2, Ad26.COV2.S, mRNA-1273, BNT162b2, and CoronaVac | 25 | Pain (70%) | Fatigue (78%), headache (30%) | none | - | - | - |
| Sattui et al., Liew et al., 2021[ | Global Rheumatology Alliance | AZD1222, Ad5-nCoV2, Ad26.COV2.S, mRNA-1273, BNT162b2, and CoronaVac | 391 | Fatigue (33%), headache (27%) | 0.2% | 13%, 4.6% required change in drugs | Breakthrough infections in 2.5% | ||
| Conolly et al. 2021 [ | USA, web- based Q | BNT162b2, mRNA-1273 | 91 | Pain (89%) | Fatigue (58%), headache (50%) | ||||
| So et al. [ | Hong Kong | Comirnaty, CoronaVac | 68 | 70 | 66% | 0 | 0 | Comirnaty | GC, MMF 92% had neutralizing antibodies (versus 100% controls) |
SLE systemic lupus erythematosus, MMF mycophenolate mofetil, RTX rituximab, GC glucocorticoids, IS immunosuppressant, Ig immunoglobulin, MTX methotrexate, USA United States of America, NYU New York University, RNA ribonucleic acid
Cases of new-onset SLE after COVID-19 vaccination
| Study | Age/sex | Nationality/race | Vaccine | Timing | Organ involvement | Serology | Treatment | Outcome |
|---|---|---|---|---|---|---|---|---|
| Kaur et al. [ | 54/M | Asian | BNT162b2 | 2 weeks post the second dose | ACLE, hematologic, ?lupus nephritis, NPSLE | ANA, anti-dsDNA, SSA, SSB, Smith, RNP, Histone low C3, C4 | GC, MMF | Improved |
| Raviv et al. [ | 24/M | Israeli | BNT162b2 | 2 days post first dose | ACLE | ANA, anti- nucleosome, ribosomal P | HCQ, topical steroids | Improved |
| Hidaka et al. [ | 53/F, VKH, Hashimoto and BA | Japanese | BNT162b2 | 2 weeks post the second dose | Evans | ANA, Lupus anticoagulant, low C3, C4 | GC | Improved |
| Baez-Nigron and Vila [ | 27/F, T1DM, family history of SLE | mRNA 1273 | 2 weeks post the 2nd dose | MSK, Lupus Nephritis | ANA, anti-dsDNA, SSA, SSB, low C3, C4 | GC, MMF | Improved | |
| Zavala Miranda et al. [ | 23/F | AZD1222 | 1 week post the first dose | Lupus nephritis | ANA, low C3, C4 | GC, MMF, HCQ | Improved | |
| Zengarinin et al. [ | 30/F | Italian | BNT162b2 | 10 days post the second dose | SCLE, hematologic | ANA, anti-dsDNA, SSA, smith, RNP, nucleosome, histone, low C3, C4 | GC | Improved |
| Patil et al. [ | 22/F, family history of Hashimoto | Indian | AZD1222 | 2 weeks post the second dose | MSK, hematologic, MC, lupus nephritis | ANA, anti-dsDNA, nucleosome, histone, low C3, C4 | GC, MMF | Improved |
| Alrashdi et al. [ | 22/F | Saudi | BNT162b2 | 1 week post the first dose | ACLE, pancreatitis, hematologic | ANA, anti-dsDNA, low C3, C4 | GC, Azathioprine | |
| Nune et al. [ | 24/M | Caucasian | BNT162b2 | 2 weeks post the second dose | MSK, MC, hematologic | ANA, anti-dsDNA, low C3, C4 | GC, MTX | Improved |
| Molina-Rios et al. [ | 42/F | 2 weeks post the first dose | MSK, PE | ANA, anti-dsDNA, b2GPI, Lupus anticoagulant | GC, Azathioprine, anticoagulation | Improved |
C complement, dsDNA double-stranded deoxyribonucleic acid, ANA anti-nuclear antibody, SS Sjogren’s syndrome, RNP ribonucleoprotein, GPI glycoprotein I, GC glucocorticoid, MMF mycophenolate mofetil, MTX methotrexate, HCQ hydroxychloroquine, ACLE acute cutaneous lupus erythematosus, SCLE subacute cutaneous lupus erythematosus, SLE systemic cutaneous lupus erythematosus, NP neuropsychiatric, MSK musculoskeletal, MC mucocutaneous, PE pulmonary embolism
Studies of the impact of the COVID-19 pandemic on lupus patients
| Study | Country | Type | Hospital visits | Hospitalizations | Disease activity-same | Disease activity increase | Disease activity decrease | Drug supply | Others | |
|---|---|---|---|---|---|---|---|---|---|---|
| Ramirez et al. 2021[ | Italy | Q (web-based) | 326 | Missed appointments (68%) | - | 54% | 17% | 4% | - | - |
| Salido et al. 2021[ | Philippines | Q (web-based) | 405 | - | - | 66% | - | - | 40% suffered from irregular HCQ supply with resultant myalgias, rashes | - |
| Zucchi et al. 2021[ | Italy | T | 330 | - | - | - | 8% (mild-mod) | - | 11% discontinued drugs | - |
| Hausmann et al. 2021[ | Global | Q (web-based) | 2882 | - | - | - | - | - | 18% discontinued drugs | COVID protective behavior (100%), 13% decrease in employment |
| Rathi et al. 2020[ | India, INSPIRE cohort | Q (web-based) | 1040 | Missed appointments (54%), difficulty in getting investigations (37%) | 32% | - | 25% | - | Difficulty in procuring drugs (36%) | Financial difficulties in 25% |
| Tharwat et al. 2021 [ | Egypt | Q (web-based) | 200 | 71% faced difficulty in hospitalization | - | - | 50% | - | Procuring drugs (70%) | - |
| Plantinga et al. 2022 [ | USA (GOAL cohort) | Q (web-based) | 245 | Difficulty in access to medical care (42%) | - | - | - | - | Procuring drugs (21%) | Less physically active (55%) Less sleep (54%) |
| Scherlinger. 2022 [ | France | Nationwide Q (web-based) | 536 | Difficulty in access to medical care (25%) | - | - | 31% | - | - | Sleep disorders (54%), anxiety 47%, depression (42%), PTSD (39%) associated with financial issues, access to medical care, Unemployment (25%) |
| Sloan et al. 2021[ | UK | Q (web-based) | 87 | Difficulty in access to medical care (70%) | - | - | - | - | - | - |
| Ammitzbol et al. 2021[ | Denmark | Q (web-based) | 405 | - | - | - | 24% | - | 10% discontinued drugs | Depression (19%), reduction in exercise capacity (60%) |
| Garrido-Cumbrera et al. 2021[ | Spain (REUMAVID) | Q (web-based) | 97 | Difficulty in access to medical care (> 50%) | - | - | - | - | - | Anxiety (32%), depression (21%) |
Q questionnaire, T telephonic, PTSD post-traumatic stress disorder