A juvenilis és felnőttkori dermatomyositises betegek klinikai jellemzői

Absztrakt Bevezetés: A juvenilis és felnőttkori dermatomyositisek szisztémás autoimmun megbetegedések, jellegzetességük a proximális végtagizomzat szimmetrikus gyengesége és típusos bőrtünetek megjelenése. Célkitűzés: A felnőttkori, illetve gyermekkori dermatomyositises betegek összehasonlítása tüneteik, laboratóriumi és immunszerológiai paramétereik, terápiára adott válaszuk, illetve kórlefolyásuk alapján. Módszer: A szerzők a vizsgálatban részt vevő betegek klinikai dokumentációinak retrospektív elemzésével összehasonlították a juvenilis és felnőttkori dermatomyositises betegcsoportokat a célkitűzésben megadott szempontok alapján. A kutatásba 27 juvenilis (átlagéletkor: 8,7 év, átlagos követési idő: 104,6 hónap) és 30 felnőttkori (átlagéletkor: 50,3, átlagos követési idő: 58,1 hónap) dermatomyositises beteget vontak be. Eredmények: A juvenilis dermatomyositises betegek között gyakrabban került sor cyclosporin A és intravénás immunglobulin alkalmazására. A felnőtt korú betegek között az akut betegségkezdet gyakrabban fordult elő. Gyermekekben a tünetek fokozatosan jelentkeznek. Következtetések: A szerzők eredményei egyeznek a szakirodalomban leírtakkal. Megfigyeléseik szerint a két alcsoport klinikailag és terápiás szempontból is különbözik. Betegeik rendszeres gondozása a remisszió elérése után is szükséges – elkerülve ezzel a rossz betegcompliance-t –, ezáltal csökkenthető a relapsusok száma és súlyossága. Orv. Hetil., 2015, 156(37), 1491–1496

A juvenilis és felnőttkori dermatomyositises betegek klinikai jellemzői

A juvenilis és felnőttkori dermatomyositisek szisztémás autoimmun megbetegedések, jellegzetességük a proximális végtagizomzat szimmetrikus gyengesége és típusos bőrtünetek megjelenése. Célkitűzés: A felnőttkori, illetve gyermekkori dermatomyositises betegek összehasonlítása tüneteik, laboratóriumi és immunszerológiai paramétereik, terápiára adott válaszuk, illetve kórlefolyásuk alapján. Módszer: A szerzők a vizsgálatban részt vevő betegek klinikai dokumentációinak retrospektív elemzésével összehasonlították a juvenilis és felnőttkori dermatomyositises betegcsoportokat a célkitűzésben megadott szempontok alapján. A kutatásba 27 juvenilis (átlagéletkor: 8,7 év, átlagos követési idő: 104,6 hónap) és 30 felnőttkori (átlagéletkor: 50,3, átlagos követési idő: 58,1 hónap) dermatomyositises beteget vontak be. Eredmények: A juvenilis dermatomyositises betegek között gyakrabban került sor cyclosporin A és intravénás immunglobulin alkalmazására. A felnőtt korú betegek között az akut betegségkezdet gyakrabban fordult elő. Gyermekekben a tünetek fokozatosan jelentkeznek. Következtetések: A szerzők eredményei egyeznek a szakirodalomban leírtakkal. Megfigyeléseik szerint a két alcsoport klinikailag és terápiás szempontból is különbözik. Betegeik rendszeres gondozása a remisszió elérése után is szükséges – elkerülve ezzel a rossz betegcompliance-t –, ezáltal csökkenthető a relapsusok száma és súlyossága

Long-term safety of COVID vaccination in individuals with idiopathic inflammatory myopathies: results from the COVAD study

Limited evidence on long-term COVID-19 vaccine safety in patients with idiopathic inflammatory myopathies (IIMs) continues to contribute to vaccine hesitancy. We studied delayed-onset vaccine adverse events (AEs) in patients with IIMs, other systemic autoimmune and inflammatory disorders (SAIDs), and healthy controls (HCs), using data from the second COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. A validated self-reporting e-survey was circulated by the COVAD study group (157 collaborators, 106 countries) from Feb-June 2022. We collected data on demographics, comorbidities, IIM/SAID details, COVID-19 history, and vaccination details. Delayed-onset (> 7 day) AEs were analyzed using regression models. A total of 15165 respondents undertook the survey, of whom 8759 responses from vaccinated individuals [median age 46 (35-58) years, 74.4% females, 45.4% Caucasians] were analyzed. Of these, 1390 (15.9%) had IIMs, 50.6% other SAIDs, and 33.5% HCs. Among IIMs, 16.3% and 10.2% patients reported minor and major AEs, respectively, and 0.72% (n = 10) required hospitalization. Notably patients with IIMs experienced fewer minor AEs than other SAIDs, though rashes were expectedly more than HCs [OR 4.0; 95% CI 2.2-7.0, p < 0.001]. IIM patients with active disease, overlap myositis, autoimmune comorbidities, and ChadOx1 nCOV-19 (Oxford/AstraZeneca) recipients reported AEs more often, while those with inclusion body myositis, and BNT162b2 (Pfizer) recipients reported fewer AEs. Vaccination is reassuringly safe in individuals with IIMs, with AEs, hospitalizations comparable to SAIDs, and largely limited to those with autoimmune multimorbidity and active disease. These observations may inform guidelines to identify high-risk patients warranting close monitoring in the post-vaccination period

Flares in autoimmune rheumatic diseases in the post-COVID-19 vaccination period-a cross-sequential study based on COVAD surveys

Objective: Flares of autoimmune rheumatic diseases (AIRDs) following COVID-19 vaccination are a particular concern in vaccine-hesitant individuals. Therefore, we investigated the incidence, predictors and patterns of flares following vaccination in individuals living with AIRDs, using global COVID-19 Vaccination in Autoimmune Diseases (COVAD) surveys. Methods: The COVAD surveys were used to extract data on flare demographics, comorbidities, COVID-19 history, and vaccination details for patients with AIRDs. Flares following vaccination were identified as patient-reported (a), increased immunosuppression (b), clinical exacerbations (c) and worsening of PROMIS scores (d). We studied flare characteristics and used regression models to differentiate flares among various AIRDs. Results: Of 15 165 total responses, the incidence of flares in 3453 patients with AIRDs was 11.3%, 14.8%, 9.5% and 26.7% by definitions a-d, respectively. There was moderate agreement between patient-reported and immunosuppression-defined flares (K = 0.403, P = 0.022). Arthritis (61.6%) and fatigue (58.8%) were the most commonly reported symptoms. Self-reported flares were associated with higher comorbidities (P = 0.013), mental health disorders (MHDs) (P < 0.001) and autoimmune disease multimorbidity (AIDm) (P < 0.001).In regression analysis, the presence of AIDm [odds ratio (OR) = 1.4; 95% CI: 1.1, 1.7; P = 0.003), or a MHD (OR = 1.7; 95% CI: 1.1, 2.6; P = 0.007), or being a Moderna vaccine recipient (OR = 1.5; 95% CI: 1.09, 2.2; P = 0.014) were predictors of flares. Use of MMF (OR = 0.5; 95% CI: 0.3, 0.8; P = 0.009) and glucocorticoids (OR = 0.6; 95% CI: 0.5, 0.8; P = 0.003) were protective.A higher frequency of patients with AIRDs reported overall active disease post-vaccination compared with before vaccination (OR = 1.3; 95% CI: 1.1, 1.5; P < 0.001). Conclusion: Flares occur in nearly 1 in 10 individuals with AIRDs after COVID vaccination; people with comorbidities (especially AIDm), MHDs and those receiving the Moderna vaccine are particularly vulnerable. Future avenues include exploring flare profiles and optimizing vaccine strategies for this group

Flares in IIMs and the timeline following COVID-19 vaccination: a combined analysis of the COVAD-1 and -2 surveys

Objectives: Disease flares in the post-coronavirus disease 2019 (COVID-19) vaccination period represent a prominent concern, though risk factors are poorly understood. We studied these flares among patients with idiopathic inflammatory myopathies (IIMs) and other autoimmune rheumatic diseases (AIRDs). Methods: The COVAD-1 and -2 global surveys were circulated in early 2021 and 2022, respectively, and we captured demographics, comorbidities, AIRDs details, COVID-19 infection history and vaccination details. Flares of IIMs were defined as (a) patient self-reported, (b) immunosuppression (IS) denoted, (c) clinical sign directed and (d) with >7.9-point minimal clinically significant improvement difference worsening of Patient-Reported Outcomes Measurement Information System (PROMIS) PROMISPF10a score. Risk factors of flares were analysed using regression models. Results: Of 15 165 total respondents, 1278 IIMs (age 63 years, 70.3% female, 80.8% Caucasians) and 3453 AIRDs were included. Flares of IIM were seen in 9.6%, 12.7%, 8.7% and 19.6% patients by definitions (a) to (d), respectively, with a median time to flare of 71.5 (10.7-235) days, similar to AIRDs. Patients with active IIMs pre-vaccination (OR 1.2; 95% CI 1.03, 1.6, P = 0.025) were prone to flares, while those receiving rituximab (OR 0.3; 95% CI 0.1, 0.7, P = 0.010) and AZA (OR 0.3, 95% CI 0.1, 0.8, P = 0.016) were at lower risk. Female gender and comorbidities predisposed to flares requiring changes in IS. Asthma (OR 1.62; 95% CI 1.05, 2.50, P = 0.028) and higher pain visual analogue score (OR 1.19; 95% CI 1.11, 1.27, P < 0.001) were associated with disparity between self-reported and IS-denoted flares. Conclusion: A diagnosis of IIMs confers an equal risk of flares in the post-COVID-19 vaccination period to AIRDs, with active disease, female gender and comorbidities conferring a higher risk. Disparity between patient- and physician-reported outcomes represents a future avenue for exploration

COVID-19 vaccine safety during pregnancy and breastfeeding in women with autoimmune diseases: results from the COVAD study

Objectives: We investigated COVID-19 vaccine safety in pregnant and breastfeeding women with autoimmune diseases (AID) in the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. Methods: Delayed-onset (>7 days) vaccine-related adverse events (AE), disease flares (DF), and AID-related treatment modifications were analyzed upon diagnosis of AID versus healthy controls (HC) and the pregnancy/breastfeeding status at the time of at least one dose of vaccine. Results: Among the 9201 participants to the self-administered online survey, 6787 (73.8%) were women. Forty pregnant and 52 breastfeeding patients with AID were identified, of whom the majority had received at least one dose of COVID-19 vaccine (100% and 96.2%, respectively). AE were reported significantly more frequently in pregnant than in non-pregnant patients (overall AE 45% vs 26%, p= 0.01; minor AE 40% vs 25.9%, p= 0.03; major AE 17.5% vs 4.6%, p< 0.01), but no difference was found in comparison with pregnant HC. No difference was observed between breastfeeding patients and HC with respect to AE. Post-vaccination DF were reported by 17.5% of pregnant and 20% of breastfeeding patients, and by 18.3% of age- and disease-matched non-pregnant and non-breastfeeding patients (n = 262). All pregnant/breastfeeding patients who experienced a DF were managed with glucocorticoids; 28.6% and 20% of them required initiation or change in immunosuppressants, respectively. Conclusion: This study provides reassuring insights into the safety of COVID-19 vaccines administered to women with AID during the gestational and post-partum periods, helping overcome hesitant attitudes, as the benefits for the mother and the fetus by passive immunization appear to outweigh potential risks

Breakthrough SARS-CoV-2 infection and disease flares in patients with rheumatoid arthritis: result from COVAD e-survey study

COVID-19 has been suggested as a possible trigger of disease flares in patients with rheumatoid arthritis (RA). However, factors associated with disease flares remain unknown. This study aimed to identify factors associated with breakthrough infection (BIs) and disease flares in patients with RA following COVID-19. We analysed data from RA patients who participated in the COVID-19 vaccination in autoimmune diseases (COVAD) study. Demographic data, patient-reported outcomes, comorbidities, pharmacologic treatment and details regarding disease flares were extracted from the COVAD database. Factors associated with disease flare-ups were determined by multivariate logistic regression analysis. The analysis comprised 1928 patients with RA who participated in the COVAD study. Younger age, Caucasian ethnicity, comorbidities with obstructive chronic pulmonary disease and asthma were associated with COVID-19 breakthrough infection. Moreover, younger age (odds ratio (OR): 0.98, 95% CI 0.96-0.99, p < 0.001), ethnicity other than Asian, past history of tuberculosis (OR: 3.80, 95% CI 1.12-12.94, p = 0.033), treatment with methotrexate (OR: 2.55, 95% CI: 1.56-4.17, p < 0.001), poor global physical health (OR: 1.07, 95% CI 1.00-1.15, p = 0.044) and mental health (OR: 0.91, 95% CI 0.87-0.95, p < 0.001) were independent factors associated disease flares in patients with RA. Our study highlights the impact of socio-demographic factors, clinical characteristics and mental health on disease flares in patients with RA. These insights may help determine relevant strategies to proactively manage RA patients at risk of flares