IMPAIRED HEALTH-RELATED QUALITY OF LIFE IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHIES: A CROSS-SECTIONAL ANALYSIS FROM AN INTERNATIONAL E-SURVEY

BackgroundComprehensive and large-scale assessment of health-related quality of life in patients with idiopathic inflammatory myopathies (IIMs) worldwide is lacking. The second COVID-19 vaccination in autoimmune disease (COVAD-2) study [1] is an international, multicentre, self-reported e-survey assessing several aspects of COVID-19 infection and vaccination as well as validated patient-reported outcome measures (PROMs) to outline patient experience in various autoimmune diseases (AIDs), with a particular focus on IIMs.ObjectivesTo investigate physical and mental health in a global cohort of IIM patients compared to those with non-IIM autoimmune inflammatory rheumatic diseases (AIRDs), non-rheumatic AIDs (NRAIDs), and those without AIDs (controls), using Patient-Reported Outcome Measurement Information System (PROMIS) global health data obtained from the COVAD-2 survey.MethodsDemographics, AID diagnoses, comorbidities, disease activity, treatments, and PROMs were extracted from the COVAD-2 database. The primary outcomes were PROMIS Global Physical Health (GPH) and Global Mental Health (GMH) scores. Secondary outcomes included PROMIS physical function short form-10a (PROMIS PF-10a), pain visual analogue scale (VAS), and PROMIS Fatigue-4a scores. Each outcome was compared between IIMs, non-IIM AIRDs, NRAIDs, and controls. Factors affecting GPH and GMH scores in IIMs were identified using multivariable regression analysis.ResultsA total of 10,502 complete responses from 1582 IIMs, 4700 non-IIM AIRDs, 545 NRAIDs, and 3675 controls, which accrued as of May 2022, were analysed. Patients with IIMs were older [59±14 (IIMs) vs. 48±14 (non-IIM AIRDs) vs. 45±14 (NRAIDs) vs. 40±14 (controls) years, p<0.001] and more likely to be Caucasian [82.7% (IIMs) vs. 53.2% (non-IIM AIRDs) vs. 62.4% (NRAIDs) vs. 34.5% (controls), p<0.001]. Among IIMs, dermatomyositis (DM) and juvenile DM were the most common (31.4%), followed by inclusion body myositis (IBM) (24.9%). Patients with IIMs were more likely to have comorbidities [68.1% (IIMs) vs. 45.7% (non-IIM AIRDs) vs. 45.1% (NRAIDs) vs. 26.3% (controls), p<0.001] including mental disorders [33.4% (IIMs) vs. 28.2% (non-IIM AIRDs) vs. 28.4% (NRAIDs) vs. 17.9% (controls), p<0.001].GPH median scores were lower in IIMs compared to NRAIDs or controls [13 (interquartile range 10–15) IIMs vs. 13 (11–15) non-IIM AIRDs vs. 15 (13–17) NRAIDs vs. 17 (15–18) controls, p<0.001] and PROMIS PF-10a median scores were the lowest in IIMs [34 (25–43) IIMs vs. 40 (34–46) non-IIM AIRDs vs. 47 (40–50) NRAIDs vs. 49 (45–50) controls, p<0.001]. GMH median scores were lower in AIDs including IIMs compared to controls [13 (10–15) IIMs vs. 13 (10–15) non-IIM AIRDs vs. 13 (11–16) NRAIDs vs. 15 (13–17) controls, p<0.001]. Pain VAS median scores were higher in AIDs compared to controls [3 (1–5) IIMs vs. 4 (2–6) non-IIM AIRDs vs. 2 (0–4) NRAIDs vs. 0 (0–2) controls, p<0.001]. Of note, PROMIS Fatigue-4a median scores were the highest in IIMs [11 (8–14) IIMs vs. 8 (10–14) non-IIM AIRDs vs. 9 (7–13) NRAIDs vs. 7 (4–10) controls, p<0.001].Multivariable regression analysis in IIMs identified older age, male sex, IBM, comorbidities including hypertension and diabetes, active disease, glucocorticoid use, increased pain and fatigue as the independent factors for lower GPH scores, whereas coexistence of interstitial lung disease, mental disorders including anxiety disorder and depression, active disease, increased pain and fatigue were the independent factors for lower GMH scores.ConclusionBoth physical and mental health are significantly impaired in patients with IIMs compared to those with non-IIM AIDs or those without AIDs. Our results call for greater attention to patient-reported experience and comorbidities including mental disorders to provide targeted approaches and optimise global well-being in patients with IIMs.Reference[1]Fazal ZZ, Sen P, Joshi M, et al. COVAD survey 2 long-term outcomes: unmet need and protocol. Rheumatol Int. 2022;42:2151–58.AcknowledgementsThe authors a e grateful to all respondents for completing the questionnaire. The authors also thank The Myositis Association, Myositis India, Myositis UK, the Myositis Global Network, Cure JM, Cure IBM, Sjögren's India Foundation, EULAR PARE for their contribution to the dissemination of the survey. Finally, the authors wish to thank all members of the COVAD study group for their invaluable role in the data collection.Disclosure of InterestsAkira Yoshida: None declared, Yuan Li: None declared, Vahed Maroufy: None declared, Masataka Kuwana Speakers bureau: Boehringer Ingelheim, Ono Pharmaceuticals, AbbVie, Janssen, Astellas, Bayer, Asahi Kasei Pharma, Chugai, Eisai, Mitsubishi Tanabe, Nippon Shinyaku, Pfizer, Consultant of: Corbus, Mochida, Grant/research support from: Boehringer Ingelheim, Ono Pharmaceuticals, Naveen Ravichandran: None declared, Ashima Makol Consultant of: Boehringer-Ingelheim, Parikshit Sen: None declared, James B. Lilleker: None declared, Vishwesh Agarwal: None declared, Sinan Kardes: None declared, Jessica Day Grant/research support from: CSL Limited, Marcin Milchert: None declared, Mrudula Joshi: None declared, Tamer A Gheita: None declared, Babur Salim: None declared, Tsvetelina Velikova: None declared, Abraham Edgar Gracia-Ramos: None declared, Ioannis Parodis Grant/research support from: Amgen, AstraZeneca, Aurinia Pharmaceuticals, Eli Lilly, Gilead Sciences, GlaxoSmithKline, Janssen Pharmaceuticals, Novartis, and F. Hoffmann-La Roche, Elena Nikiphorou Speakers bureau: Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, Eli Lilly, Consultant of: Celltrion, Pfizer, Sanofi, Gilead, Galapagos, AbbVie, Eli Lilly, Grant/research support from: Pfizer, Eli Lilly, Ai Lyn Tan Speakers bureau: AbbVie, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, UCB, Consultant of: AbbVie, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, UCB, Arvind Nune: None declared, Lorenzo Cavagna: None declared, Miguel A Saavedra Consultant of: AbbVie, GlaxoSmithKline, Samuel Katsuyuki Shinjo: None declared, Nelly Ziade Speakers bureau: AbbVie, Boehringer-Ingelheim, Eli Lilly, Janssen, Pfizer, Roche, Consultant of: AbbVie, Boehringer-Ingelheim, Eli Lilly, Janssen, Pfizer, Roche, Grant/research support from: AbbVie, Boehringer-Ingelheim, Eli Lilly, Janssen, Pfizer, Roche, Johannes Knitza: None declared, Oliver Distler Speakers bureau: AbbVie, Amgen, Bayer, Boehringer Ingelheim, Janssen, Medscape, Novartis, Consultant of: 4P-Pharma, AbbVie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Horizon, Inventiva, Janssen, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe, Novartis, Prometheus, Redxpharma, Roivant, Sanofi, Topadur, Grant/research support from: AbbVie, Amgen, Boehringer Ingelheim, Kymera, Mitsubishi Tanabe, Novartis, Roche, Hector Chinoy Grant/research support from: Eli Lilly, UCB, Vikas Agarwal: None declared, Rohit Aggarwal Consultant of: Mallinckrodt, Octapharma, CSL Behring, Bristol Myers-Squibb, EMD Serono, Kezar, Pfizer, AstraZeneca, Alexion, Argenx, Boehringer Ingelheim (BI), Corbus, Janssen, Kyverna, Roivant, Merck, Galapagos, Actigraph, Abbvie, Scipher, Horizontal Therapeutics, Teva, Biogen, Beigene, ANI Pharmaceutical, Nuvig, Capella, CabalettaBio, Grant/research support from: Bristol Myers-Squibb, Pfizer, Mallinckrodt, Janssen, Q32, EMD Serono, Boehringer Ingelheim, Latika Gupta: None declared.

REDUCED HEALTH-RELATED QUALITY OF LIFE USING PROMIS IN PATIENTS WITH SYSTEMIC SCLEROSIS: A CROSS-SECTIONAL ANALYSIS FROM THE INTERNATIONAL COVAD-2 E-SURVEY

BackgroundThe second COVID-19 vaccination in autoimmune disease (COVAD-2) study [1] is an international, multicentre, self-reported e-survey designed to evaluate several facets covering COVID-19 infection and vaccination as well as validated patient-reported outcome measures (PROMs) in a variety of autoimmune diseases (AIDs), including systemic sclerosis (SSc). Detailed assessment of the health-related quality of life (HRQOL) and its drivers in patients with SSc is lacking.ObjectivesTo assess physical and mental health in a global cohort of SSc patients in comparison with non-SSc autoimmune inflammatory rheumatic diseases (AIRDs), non-rheumatic AIDs (NRAIDs), and those without AIDs (controls) using Patient-Reported Outcome Measurement Information System (PROMIS) global health data from the COVAD-2 survey.MethodsThe COVAD-2 database was used to extract demographics, AID diagnosis, comorbidities, disease activity, current therapies, and PROMs. PROMIS global physical health (GPH), global mental health (GMH) scores, PROMIS physical function short form-10a (PROMIS PF-10a), pain visual analogue scale (VAS), and PROMIS Fatigue-4a scores were compared between SSc, non-SSc AIRDs, NRAIDs, and controls. Outcomes were also compared between diffuse cutaneous SSc (dcSSc) vs limited cutaneous SSc (lcSSc). Multivariable regression analysis was performed to identify factors influencing GPH and GMH scores in SSc.ResultsA total of 10,502 complete responses from 276 SSc, 6006 non-SSc AIRDs, 545 NRAIDs, and 3675 controls as of May 2022 were included in the analysis. Respondents with SSc were older [SSc vs. non-SSc AIRDs vs. NRAIDs vs. controls: 55 (14) vs. 51 (15) vs. 45 (14) vs. 40 (14) years old, mean (SD), p < 0.001]. Among patients with SSc, 129 (47%) had dcSSc and 147 (53%) had lcSSc. SSc patients reported a significantly higher prevalence of ILD [SSc vs. non-SSc AIRDs vs. NRAIDs vs. controls: 30.4% vs. 5.5% vs. 1.5% vs. 0.2%, p < 0.001], and treatment with MMF [SSc vs. non-SSc AIRDs vs. NRAIDs vs. controls: 26.4% vs. 9.5% vs. 1.1% vs. 0%, p < 0.001].Patients with SSc had lower GPH and PROMIS PF-10a scores [SSc vs. non-SSc AIRDs vs. NRAIDs vs. controls: 13 (11–15) vs. 13 (11–15) vs. 15 (13–17) vs. 17 (15–18), median (IQR), p < 0.001;39 (33–46) vs. 39 (32–45) vs. 47 (40–50) vs. 49 (45–50), p < 0.001, respectively] and higher Pain VAS and PROMIS Fatigue-4a scores compared to those with NRAIDs or controls [SSc vs. non-SSc AIRDs vs. NRAIDs vs. controls: 3 (2–5) vs. 3 (1–6) vs. 2 (0–4) vs. 0 (0–2), p < 0.001;11 (8–14) vs. 11 (8–14) vs. 9 (7–13) vs. 7 (4–10), p < 0.001, respectively]. Patients with AIDs including SSc had lower GMH scores compared to controls [SSc vs. non-SSc AIRDs vs. NRAIDs vs. controls: 12.5 (10–15) vs. 13 (10–15) vs. 13 (11–16) vs. 15 (13–17), p < 0.001].Among SSc patients, GPH, GMH, and PROMIS PF-10a scores were lower in dcSSc compared to lcSSc [dcSSc vs. lcSSc: 12 (10–14) vs. 14 (11–15), p < 0.001;12 (10-14) vs. 13 (10-15), p<0.001;38 (30–43) vs. 41 (34–47), p < 0.001, respectively]. Pain VAS and PROMIS Fatigue-4a scores were higher in dcSSc compared to lcSSc [4 (2–6) vs. 3 (1–5), p < 0.001;12 (8–15) vs. 9 (8–13), p < 0.001, respectively].The independent factors for lower GPH scores in SSc were older age, Asian ethnicity, glucocorticoid use, and higher pain and fatigue scales, while mental health disorders and higher pain and fatigue scales were independently associated with lower GMH scores.ConclusionIn a global cohort, patient-reported physical and mental health were significantly worse in patients with SSc in comparison to those with non-SSc AIDs and without AIDs. Our findings support the critical need for more attention to patient's subjective experiences including pain and fatigue to improve the HRQOL in patients with SSc.Reference[1]Fazal ZZ, Sen P, Joshi M, et al. COVAD survey 2 long-term outcomes: unmet need and protocol. Rheumatol Int. 2022;42: 2151–58.Acknowledgements:NIL.Disclosure of InterestsKeina Yomono: None declared, Yuan Li: None dec ared, Vahed Maroufy: None declared, Naveen Ravichandran: None declared, Akira Yoshida: None declared, Kshitij Jagtap: None declared, Tsvetelina Velikova Speakers bureau: Pfizer and AstraZeneca, Parikshit Sen: None declared, Lorenzo Cavagna: None declared, Vishwesh Agarwal: None declared, Johannes Knitza: None declared, Ashima Makol: None declared, Dey Dzifa: None declared, Carlos Enrique Toro Gutierrez: None declared, Tulika Chatterjee: None declared, Aarat Patel: None declared, Rohit Aggarwal Consultant of: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Kyverna Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, Roivant, Merck, Galapagos, Actigraph, Scipher, Horizon Therepeutics, Teva, Beigene, ANI Pharmaceuticals, Biogen, Nuvig, Capella Bioscience, and CabalettaBio, Grant/research support from: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Kyverna Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, Roivant, Merck, Galapagos, Actigraph, Scipher, Horizon Therepeutics, Teva, Beigene, ANI Pharmaceuticals, Biogen, Nuvig, Capella Bioscience, and CabalettaBio, Latika Gupta: None declared, Masataka Kuwana Speakers bureau: Abbvie, Asahi-Kasei, Astellas, Boehringer-Ingelheim, Chugai, Eisai, MBL, Mochida, Nippon Shinyaku, Ono Pharmaceuticals, Tanabe-Mitsubishi, Consultant of: Astra Zeneka, Boehringer-Ingelheim, Chugai, Corbus, GSK, Horizon, Tanabe-Mitsubishi, Grant/research support from: Boehringer-Ingelheim, Vikas Agarwal: None declared.

COMPARATIVE DISEASE BURDEN IN PATIENTS WITH RHEUMATOID ARTHRITIS, PSORIATIC ARTHRITIS OR ANKYLOSING SPONDYLITIS: DATA FROM COVAD PATIENT-REPORTED E-SURVEY

BackgroundRheumatoid arthritis (RA) and spondyloarthritis, including either Psoriatic Arthritis (PsA) and Ankylosing Spondylitis (AS), are some of the most diagnosed autoimmune rheumatic diseases (AIRDs) in rheumatologists' routine clinical practice [1]. Understanding patients' health and functional status is crucial to provide personalized management strategies to optimize disease control and enhance the quality of life.ObjectivesWe aimed to compare disease burden in patients with RA, PsA or AS by assessing Patient-Reported Outcome Measurement Information System (PROMIS) Physical Health, Global Mental Health, Physical Function and Fatigue 4a together with VAS Pain.MethodsData were obtained in the international COVID vaccination in autoimmune rheumatic diseases study second e-survey (COVAD study). Demographics, AIRD diagnosis, disease activity, PROMIS Global Physical health, PROMIS Global Mental Health, PROMIS Physical Function SF10 and PROMIS Fatigue 4a score were extracted from the COVAD study database. For this study, we only included patients with self-reported RA or spondyloarthritis (either PsA or AS) undergoing active treatment with conventional synthetic disease-modifying drugs (DMARDs) and/or biologic DMARDs, who answered all the survey questions. Active disease was defined as the patient's perception of their disease as active in the four weeks before their first COVID-19 vaccine shot. Analysis of Variance with Bartlett's and Tukey's test was used to compare continuous variables between groups.ResultsFrom January to June 2022, n.1907 patients with RA, female 87.62% (1671/1907), with mean age (±SD) 50.95 ±13.67, n.311 patients with PsA, female 67.20% (209/311), with a mean age of 50.42 ±12.70, and n.336 patients with AS, male 51.31% (209/311), with a mean age of 43.13 ±12.75 years, responded to the COVAD e-survey.In those with active disease, neither physical health, global mental health, physical function, fatigue, nor pain were different among groups (Table 1, Figure 1). Patients with inactive AS had higher mean global physical health scores than RA patients (13.13 ±2.93 VS RA 12.48 ±2.90, p=0.01, Table 1). Those with inactive RA or PsA showed more severe fatigue (PsA 10.58 ±2.22, RA 10.45 ±4.08 VS 9.4 ±4.13, p =0.01 for both). Patients with inactive RA also reported poorer physical function and more residual pain than those with AS (37.79 ±8.86 VS 41.13 ±7.79, p<0.001;3.87 ±2.45 VS 3.34 ±2.39, p=0.01, respectively). Similarly, residual pain was perceived as higher in patients with inactive PsA than those with AS (4.04 ±2.50 VS 3.34 ±2.39, p=0.01)ConclusionDisease burden is roughly comparable in patients with active RA, PsA or AS. Patients with inactive RA and PsA suffer higher disease burden than those with inactive AS.Reference[1]Mease PJ, Liu M, Rebello S, Kang H, Yi E, Park Y, Greenberg JD. Comparative Disease Burden in Patients with Rheumatoid Arthritis, Psoriatic Arthritis, or Axial Spondyloarthritis: Data from Two Corrona Registries. Rheumatol Ther. 2019 Dec;6(4):529-542.Table 1.Patient-Reported Outcome Measures between groups.Inactive diseaseAS (n.185)PsA (n.179)RA (n.1167)MeanSDMeanSDMeanSDPROMIS Global Physical Health13.13*2.9512.433.2712.482.90p=0.01, VS RAPROMIS Global Mental Health13.313.3612.973.3312.843.17PROMIS Fatigue 4a9.44.1310.58*4.2210.45*4.08p=0.01, bothPROMIS Physical Function SF10 Score41.137.3939.279.0137.79*8.86p<0.001, VS ASVAS Pain3.342.394.04*2.503.87*2.45p=0.01, bothActive DiseaseAS (n.35)PsA (n.38)RA (n.189)MeanSDMeanSDMeanSDPROMIS Global Physical Health11.053.1910.102.7611.243.41PROMIS Global Mental Health11.313.2610.843.6311.893.30PROMIS Fatigue 4a12.944.8712.844.4211.754.68PROMIS Physical Function SF10 Score35.829.6233.528.7634.909.80VAS Pain4.682.775.02.544.682.61Figure 1.Violin plots showing kernel densities, quartiles and median for Patient-Reported Outcome Measures for patients with RA, PsA and AS, stratified by disease activity status.[Figure omitted. See PDF]Acknowledgements:NIL.Disclosure of InterestsVincenzo Venerito: None declared, Marc Fornaro: None declared, Florenzo Iannone: None declared, Lorenzo Cavagna: None declared, Masataka Kuwana: None declared, Vishwesh Agarwal: None declared, Naveen Ravichandran: None declared, Jessica Day Grant/research support from: JD has received research funding from CSL Limited., Mrudula Joshi: None declared, Sreoshy Saha: None declared, Syahrul Sazliyana Shaharir: None declared, Wanruchada Katchamart: None declared, Phonpen Akarawatcharangura Goo: None declared, Lisa Traboco: None declared, Yi-Ming Chen: None declared, Parikshit Sen: None declared, James B. Lilleker Speakers bureau: JBL has received speaker honoraria/participated in advisory boards for Sanofi Genzyme, Roche, and Biogen. None is related to this manuscript., Consultant of: JBL has received speaker honoraria/participated in advisory boards for Sanofi Genzyme, Roche, and Biogen. None is related to this manuscript., Arvind Nune: None declared, John Pauling: None declared, Chris Wincup: None declared, Ai Lyn Tan Speakers bureau: ALT has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Nelly Ziade Speakers bureau: NZ has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre;none are related to this manuscript, Grant/research support from: NZ has received speaker fees, advisory board fees, and research grants from Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre;none are related to this manuscript, Marcin Milchert: None declared, Abraham Edgar Gracia-Ramos: None declared, Carlo Vinicio Caballero: None declared, COVAD Study: None declared, Vikas Agarwal: None declared, Rohit Aggarwal Speakers bureau: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Grant/research support from: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Latika Gupta: None declared.

SYSTEMIC SCLEROSIS AND COVID-19 VACCINE-ASSOCIATED DELAYED ADVERSE EVENTS: INSIGHTS FROM THE COVAD-2 STUDY

BackgroundWe have previously reported short term safety of the COVID-19 vaccination in patients with Systemic sclerosis (SSc) but delayed adverse events (ADEs) (occurring >7 days post-vaccination) are poorly characterized in this rare yet vulnerable disease group.ObjectivesWe analyzed delayed COVID-19 vaccine-related ADEs among patients with SSc, other systemic autoimmune and inflammatory disorders (SAIDs) and healthy controls (HC) using data from the ongoing 2nd global COVID-19 Vaccination in Autoimmune Diseases (COVAD-2) study [1].MethodsThe COVAD-2 study was a cross-sectional, patient self-reporting e-survey utilizing an extensively validated, pilot tested questionnaire, translated into 19 languages, circulated by a group of 157 physicians across 106 countries from February to June 2022.We captured data on demographics, SSc/SAID disease characteristics (including skin subset, treatment history and self-reported disease activity), autoimmune and non-autoimmune comorbidities, COVID-19 infection history and course, and vaccination details including delayed ADEs as defined by the CDC.Delayed ADEs were categorized into local injection site pain/soreness;minor and major systemic ADEs, and hospitalizations. We descriptively analyzed the risk factors for overall and specific ADEs in SSc and SAIDs, and further triangulated clinically significant variables in binominal logistic regression analysis with adjustment for age, gender, ethnicity, comorbidity, and immunosuppressive therapy to analyze the survey responses.ResultsFrom among 17 612 respondents, 10 041 patients (median age 51 (18-58) years, 73.4% females, 44.9% Caucasians) vaccinated against COVID-19 at least once (excluding incomplete responses and trial participants) were included for analysis. Of these, 2.6 % (n=258) had SSc, 63.7% other SAIDs, and 33.7% were HCs. BNT162b2 Pfizer (69.4%) was the most administered vaccine, followed by MRNA-1273 Moderna (32.25%) and ChadOx1 nCOV-19 Oxford/AstraZeneca (12.4%) vaccines.Among the patients with SSc, 18.9% reported minor while 8.5% experienced major delayed ADEs, and 4.6% reported hospitalization. These values were comparable to those of the ADEs reported in other SAIDs and HCs. Patients with SSc reported higher frequency of difficulty in breathing than HCs [OR=2.3 (1.0-5.1), p=0.042].Individuals receiving Oxford/AstraZeneca reported more minor ADEs [OR=2.5 (1.0-6.0), p=0.045];whereas patients receiving Moderna were less likely to develop myalgia and body ache [OR=0.1 (0.02-1.0), p=0.047 and OR=0.2 (0.05-1.0), p=0.044 respectively].Patients with diffuse cutaneous SSc experienced minor ADEs and specifically fatigue more frequently [OR=2.1 (1.1-4.4), p=0.036, and OR=3.9 (1.3-11.7), p=0.015] than those with limited cutaneous SSc. Self-reported active disease pre-vaccination did not confer any increased risk of vaccine ADEs in the adjusted analysis. Unlike our previous observations in myositis, autoimmune and non-autoimmune comorbidities did not affect the risk of delayed ADEs in SSc. SSc patients with concomitant myositis reported myalgia [OR=3.4 (1.1-10.7), p=0.035] more frequently, while those with thyroid disorders were more prone to report a higher frequency of joint pain [OR=5.5 (1.5-20.2), p=0.009] and dizziness [OR=5.9 (1.3-27.6), p=0.024] than patients with SSc alone. Patients with SSc-interstitial lung disease did not report increased frequency of ADEs.ConclusionA diagnosis of SSc did not confer a higher risk of delayed post COVID-19 vaccine-related ADEs than other SAIDs and HCs. Diffuse cutaneous phenotype and certain co-existing autoimmune conditions including myositis and thyroid disease can increase the risk of minor ADEs. These patients may benefit from pre-vaccination counselling, close monitoring, and early initiation of appropriate care in the post COVID-19 vaccination period.Reference[1]Fazal ZZ, Sen P, Joshi M, Ravichandran N, Lilleker JB, et al. COVAD survey 2 long-term outcomes: unmet need and protocol. Rheumatol Int 2022 Dec;42(12):2151-2158AcknowledgementsCOVAD Study Team.Disclosure of InterestsBo dana Doskaliuk: None declared, Parikshit Sen: None declared, Mrudula Joshi: None declared, Naveen Ravichandran: None declared, Ai Lyn Tan Speakers bureau: Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, UCB, Consultant of: Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, UCB, Samuel Katsuyuki Shinjo: None declared, Sreoshy Saha: None declared, Nelly Ziade Speakers bureau: Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis,Boehringer Ingelheim, Janssen, and Pierre Fabre, Consultant of: Pfizer, Roche, Abbvie, Eli Lilly,NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and Pierre Fabre, Grant/research support from: Pfizer, Roche, Abbvie, Eli Lilly, NewBridge, Sanofi-Aventis, Boehringer Ingelheim, Janssen, and.Pierre Fabre, Tulika Chatterjee: None declared, Masataka Kuwana: None declared, Johannes Knitza: None declared, Oliver Distler Speakers bureau: 4P-Pharma, Abbvie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Horizon, Inventiva, Janssen, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe, Novartis, Prometheus, Redxpharma, Roivant, Sanofi and Topadur, Consultant of: 4P-Pharma, Abbvie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Horizon, Inventiva, Janssen, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe, Novartis, Prometheus, Redxpharma, Roivant, Sanofi and Topadur, Grant/research support from: 4P-Pharma, Abbvie, Acceleron, Alcimed, Altavant, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galderma, Galapagos, Glenmark, Gossamer, iQvia, Horizon, Inventiva, Janssen, Kymera, Lupin, Medscape, Merck, Miltenyi Biotec, Mitsubishi Tanabe, Novartis, Prometheus, Redxpharma, Roivant, Sanofi and Topadur, Rohit Aggarwal Consultant of: Mallinckrodt, Octapharma, CSL Behring, Bristol Myers-Squibb, EMD Serono, Kezar, Pfizer, AstraZeneca, Alexion, Argenx, Boehringer Ingelheim, Corbus, Janssen, Kyverna, Roivant, Merck, Galapagos, Actigraph, Abbvie, Scipher, Horizontal Therapeutics, Teva, Biogen, Beigene, ANI Pharmaceutical, Nuvig, Capella, CabalettaBio, Grant/research support from: Mallinckrodt, Pfizer, Bristol Myers-Squibb, Q32, EMD Serono, Janssen, Boehringer Ingelheim (BI), Ashima Makol: None declared, Latika Gupta: None declared, Vikas Agarwal: None declared.

COVID-19 VACCINE SAFETY DURING PREGNANCY AND BREASTFEEDING IN WOMEN WITH AUTOIMMUNE DISEASES: RESULTS FROM THE COVAD STUDY

Background:COVID-19 vaccine hesitancy among pregnant and breastfeeding women with autoimmune diseases (AID) is often attributed to the fear of adverse events (AE) and disease flares (DF). No data are available regarding COVID-19 vaccine safety in this population.Objectives:We aimed at describing delayed-onset (>7 days) vaccine-related AE (minor and major), DF, and related AID treatment modifications from the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.Methods:Among complete responses from 9201 participants as of June 21, 2022, 6787 (73.8%) were women. Six subgroups were identified upon diagnosis of AID vs healthy controls (HC) and their pregnancy/breastfeeding status at the time of any dose of vaccine (Figure 1).Figure 1.Flowchart of the study. AID: autoimmune diseases;HC: healthy controls;rAID: rheumatic AID;nrAID: non-rheumatic AID.[Figure omitted. See PDF]ResultsForty pregnant and 52 breastfeeding AID patients were identified and their vaccination rates (at least one dose) was 100% and 96.2%, respectively (Table 1). Overall AE, minor AE, and major AE were reported significantly more frequently by pregnant than non-pregnant patients (45% vs. 26%, p=0.01;40% vs. 25.9%, p=0.03;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. Post-vaccination DF were reported by 17.5% of pregnant and 20% of breastfeeding patients, and by 18% of age- and disease-matched control patients (n=2315). All DF in pregnant/breastfeeding patients were managed with glucocorticoids and a fifth of them required initiation or change in immunosuppressive treatment.Table 1.Characteristics of female subjects according to groups. Percentages in parenthesis. *Pregnancy/breastfeeding status at the time of the survey and/or at the time of at least one dose of COVID-19 vaccine. Chi squared test: ~ p=0.01;° p=0.03;§ p<0.01.Total Women (n=6787)Group A Non-pregnant, non-breastfeeding with AID (n=4862)Group B Pregnant with AID* (n=40)Group C Breastfeeding with AID* (n=52)Group D Non-pregnant, non-breastfeeding HC (n=1749)Group E Pregnant HC* (n=31)Group F Breastfeeding HC* (n=53)Age (median, IQR)47, 35-5850, 38-6134, 31-35.2533, 30-3539, 29-4934, 30-36.533, 30-36Caucasian3225 (47.5)2634 (54.1)12 (30)22 (42.3)538 (30.8)7 (22.6)12 (22.6)No comorbidities3027 (44.6)1815 (37.3)19 (47.5)36 (69.2)1102 (63)17 (54.8)38 (71.7)Number of vaccinated women, n (%)6632 (97.7)4753 (97.8)40 (100)50 (96.2)1710 (97.8)30 (96.8)49 (92.5)≥3 doses4850 (71.5%)3583 (73.7%)26 (65%)33 (63.5%)1155 (66%)23 (74.2%)30 (56.6%)No AE4950 (74.6)3517 (74)~22 (55)~36 (72)1312 (76.7)22 (73.3)36 (73.5)Injection site (arm) pain and soreness630 (9.5)471 (9.9)7 (17.5)7 (14)138 (8.1)2 (6.7)5 (10.2)Minor AE1614 (24.3)1232 (25.9)°16 (40)°12 (24)338 (19.8)7 (23.3)10 (20.4)Major AE285 (4.3)196 (4.6)§7 (17.5)§1 (2)77 (4.5)1 (3.3)3 (6.1)Hospitalization74 (1.1)51 (1.1)2 (5)0 (0)20 (1.2)0 (0)1 (2)ConclusionThis study provides the first insights into the safety of COVID-19 vaccination during the antenatal period in women with AID. While AEs were more commonly reported by pregnant patients with AID, these were no higher than among pregnant healthy controls without AID. These observations are reassuring, likely to strengthen physician-patient communication and overcome hesitancy as the benefits for the mother and fetus by passive immunization are likely to overweigh the potential risks of AE and DF.Reference[1]Fazal ZZ, et al;COVAD Study Group. COVAD survey 2 long-term outcomes: unmet need and protocol. Rheumatol Int 2022;42:2151-2158.AcknowledgementsThe authors are grateful to all respondents, to all patients support groups, and to all COVAD Study Group collaborators from 106 Countries.Disclosure of InterestsNone Declared.

FLARES AFTER COVID-19 INFECTION IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHIES: RESULTS FROM THE COVAD STUDY

BackgroundViral infections are known triggers of disease flares in idiopathic inflammatory myopathies (IIMs). Reports of post-COVID-19 flares of IIMs have raised suspicion of a possible role of SARS-COV-2 in their onset [1,2]. However, despite rising flare rates in this vulnerable patient group during the pandemic, the risk factors for post-COVID-19 IIMs flares remain unknown [3,4].ObjectivesDisease flares among patients with idiopathic inflammatory myopathies (IIMs) can lead to significant disability, though are poorly explored in the post-COVID-19 period. We analysed risk factors for post-COVID-19 flares in a global sample of IIM patients in a subset analysis as part of the ongoing COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.MethodsA cross-sectional patient self-reporting survey was circulated by the international COVAD study group (157 collaborators, 106 countries) to patients with autoimmune diseases and healthy controls from February-June 2022. Data was collected on demographics, autoimmune disease details, treatment history, comorbidities, COVID-19 history and course and COVID-19 vaccination details. Patients with IIMs who flared post COVID-19 were compared to those who did not using the χ2 test, factors found significant in univariate analysis and deemed clinically important, underwent multivariable analysis (binary logistic regression using the Enter method) with adjustment for age, gender, ethnicity, vaccine type, immunosuppression, autoimmune and non-autoimmune comorbidities, COVID-19 antibody status, and clinical symptoms of COVID-19. Statistical analyses were performed using IBM SPSS version 28.0, with statistical significance considered at p<0.05.Results15,165 respondents completed the survey of whom 1,169 contracted COVID-19. Of these, 207 had IIMs [median (IQR) age 57.0 (47.0-67.0), 71% female, 74.4% Caucasian]. We noted with concern that nearly a third of patients with IIMs (63/207, 30.4%) reported experiencing a flare. A past medical history significant for Asthma, (34.9% vs 6.9%, multivariable OR: 7.1;95%CI: 3.1-16.4, p<0.001) and specific clinical symptoms during COVID-19 including joint pains (multivariable OR: 6.05;95%CI: 1.60-22.9, p=0.008), and difficulty in breathing (multivariable OR: 3.43;95%CI: 1.09-10.8, p=0.036) were found to confer conferred a higher risk of flares (Table 1).Table 1Patient Reported Flares following COVID-19 infection among IIM patientsTotal IIMs (n=207)IIMs with flare after COVID-19 (n=63)IIMs without flare after COVID-19 (n=144)OR (95%CI)PAge (median, IQR) years57.0 (47.0-67.0)53.0 (47.0-62.0)59.0 (47.0-69.0)-0.024GenderMale Female60 (29.0) 147 (71.0)7 (11.1) 56 (88.9)53 (36.8) 91 (63.2)0.2 (0.09-0.5)< 0.001ComorbiditiesAsthma ILD32 (15.5) 31 (15.0)22 (34.9) 11 (17.5)10 (6.9) 20 (13.9)7.1 (3.1-16.4) 1.3 (0.5-2.9)<0.001 00.508Clinical features in previous COVID-19 infectionFatigue Myalgia Arthralgia Difficulty in breathing134 (64.7) 94 (45.4) 56 (27.1) 41 (19.8)52 (82.5) 44 (69.8) 36 (57.1) 27 (42.9)82 (56.9) 50 (34.7) 20 (13.9) 14 (9.7)3.5 (1.7-7.4) 4.3 (2.3-8.2) 8.2 (4.1-16.4) 6.9 (3.3-14.6)<0.001 <0.001 <0.001 <0.001ConclusionWe observed a high frequency of patients with IIM experiencing post-COVID-19 disease flares. A past history of Asthma and those with certain acute COVID-19 symptoms were at higher risk.References[1]Saud A, Naveen R, Aggarwal R, Gupta L. COVID-19 and Myositis: What We Know So Far. Curr Rheumatol Rep 2021;23:63.[2]Gokhale Y, Patankar A, Holla U, Shilke M, Kalekar L, Karnik ND, et al. Dermatomyositis during COVID-19 Pandemic (A Case Series): Is there a Cause Effect Relationship? J Assoc Physicians India 2020;68:20–4.[3]Gupta L, Lilleker JB, Agarwal V, Chinoy H, Aggarwal R. COVID-19 and myositis - unique challenges for patients. Rheumatology (Oxford) 2021;60:907–10.[4]Naveen R, Sundaram TG, Agarwal V, Gupta L. Teleconsultation experience with the idiopathic inflammatory myopathies: a prospective observational cohort study during the COVID-19 pandemic. Rheumatol Int 2021;41:67–76.Acknowledgements:NIL.Disclosure of InterestsSa dia Sasha Ali: None declared, Naveen Ravichandran: None declared, Parikshit Sen: None declared, Jessica Day Grant/research support from: JD has received research funding from CSL Limited., Mrudula Joshi: None declared, Sreoshy Saha: None declared, Rohit Aggarwal Consultant of: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Grant/research support from: RA has a consultancy relationship with and/or has received research funding from the following companies: Bristol Myers-Squibb, Pfizer, Genentech, Octapharma, CSL Behring, Mallinckrodt, AstraZeneca, Corbus, Kezar, Abbvie, Janssen, Alexion, Argenx, Q32, EMD-Serono, Boehringer Ingelheim, and Roivant., Vikas Agarwal: None declared, Hector Chinoy Speakers bureau: Speaker for UCB, and Biogen. HC was supported by the National Institution for Health Research Manchester Biomedical Research Centre Funding Scheme., Grant/research support from: Has received grant support from Eli Lilly and UCB, consulting fees from Novartis, Eli Lilly, Orphazyme, Astra Zeneca, Oliver Distler Speakers bureau: OD has consultancy relationships with and/or has received research funding from or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon (Curzion), Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Mitsubishi Tanabe, Novartis, Roche, Roivant, Sanofi, Serodapharm, Topadur and UCB. Patent issued "mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Consultant of: OD has consultancy relationships with and/or has received research funding from or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon (Curzion), Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Mitsubishi Tanabe, Novartis, Roche, Roivant, Sanofi, Serodapharm, Topadur and UCB. Patent issued "mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Grant/research support from: OD has consultancy relationships with and/or has received research funding from or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon (Curzion), Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Mitsubishi Tanabe, Novartis, Roche, Roivant, Sanofi, Serodapharm, Topadur and UCB. Patent issued "mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Carlo Vinicio Caballero: None declared, Carlos Enrique Toro Gutierrez: None declared, Dey Dzifa: None declared, Ashima Makol: None declared, Ai Lyn Tan Speakers bureau: Has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Consultant of: has received honoraria for advisory boards and speaking for Abbvie, Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB., Samuel Katsuyuki Shinjo: None declared, Vishwesh Agarwal: None declared, Latika Gupta: None declared.

Factors Associated with Intensive Care Unit Admission and Mortality in COVID-19 Infection during May-August 2020 Period

Objective: COVID-19 infection causes severe pneumonia and multi-organ failure in adults, increases morbidity and mortality. Our study aimed to determine the factors affecting intensive care unit admission and mortality in hospitalized COVID-19 patients.Methods: The demographic, clinical, and laboratory data of hospitalized patients due to COVID-19 between May 1, 2020 and August 1, 2020 were evaluated retrospectively. Patients who were admitted to the intensive care unit or died during follow-up were included in the study group, and patients who were followed in the inpatient settings and survived consisted the control group. The data obtained at the time of hospitalization were evaluated statistically.Results: A total of 473 patients were included in the study. The median age of the patients was 53 years (40-68 years), and 269 (56.9%) were male. During the follow-up, 93(19.7%) patients were admitted to the intensive care unit (ICU). Of the 468 patients for whom follow-up data were available, 62(13.2%) patients died. Patients with older age and comorbid diseases had higher ICU admission and mortality rates (p<0.001 andp<0.001). ICU admission rate was higher in patients with cough (p=0.002), myalgia (p=0.016), and dyspnea (p<0.001) during hospital admission. At the same time, dyspnea was more common in patients who died (p<0.001), and myalgia was more common in surviving patients (p=0.020). Labora-tory values associated with both ICU admission and mortality were glucose (p<0.001,p<0.001), AST (p<0.001,p<0.001), serum creatinine (p<0.001,p<0.001), direct bilirubin (p<0.001,p=0.009), albumin (p<0.001,p<0.001), CRP (C-reactive protein) (p<0.001,p<0.001), procalcitonin (p<0.001,p<0.001), leukocyte count (p<0.001,p<0.001), lymphocyte count (p<0.001,p<0.001), neutrophil count (p=0.007,p<0.001), hemoglobin (p<0.001,p<0.001), troponin (p<0.001,p<0.001), D-dimer (p<0.001,p<0.001), ferritin (p<0.001,p<0.001), prothrombin time (p<0.001,p<0.001) and INR (international normalized ratio) (p<0.001,p<0.001) levels.Conclusions: Determining the parameters that define high-risk COVID-19 infected patients in the early period can con-tribute to reduce ICU admissions and mortality by improving patient management and resource utilization in hospitals.

Post Covid-19 Syndrome in Patients with Autoimmune Rheumatic Diseases: Results from the Covid-19 Vaccination in Autoimmune Diseases (Covad) Study

Background/Aims Post COVID-19 syndrome (PCS) is an emerging cause of morbidity and poor quality of life in COVID-19 survivors. We aimed to assess the prevalence, risk factors, outcomes, and association with disease flares of PCS in patients with autoimmune rheumatic diseases (AIRDs) and non-rheumatic autoimmune diseases (nrAIDs), both vulnerable groups understudied in the current literature using data from the 2nd COVID-19 Vaccination in Autoimmune Diseases (COVAD) global multicentre patient self-reported e-survey. Methods The survey was circulated from February to July 2022 by the international COVAD Study Group (157 collaborators from 106 countries), and demographics, comorbidities, AIRD/nrAID status, COVID-19 history, vaccination details, and PROMIS physical and mental function were recorded. PCS was defined as symptom resolution time >90 days following acute COVID-19. Predictors of PCS were analysed using regression models for the different groups. Results 7666 total respondents completed the survey. Of these, 2650 respondents with complete responses had positive COVID-19 infection, and 1677 (45.0% AIRDs, 12.5% nrAIDs, 42.5% HCs) completed the survey >90 days post acute COVID-19. Of these, 136 (8.1%) had PCS. Prevalence of PCS was higher in AIRDs (10.8%) than healthy controls HCs (5.3%) (OR: 2.1;95%CI: 1.4-3.1, p=0.002). Across the entire cohort, a higher risk of PCS was seen in women (OR: 2.9;95%CI: 1.1-7.7, p=0.037), patients with long duration of AIRDs/ nrAIDs (OR 1.01;95%CI: 1.0-1.02, p=0.016), those with comorbidities (OR: 2.8;95%CI: 1.4-5.7, p=0.005), and patients requiring oxygen supplementation for severe acute COVID-19 (OR: 3.8;95%CI: 1.1- 13.6, p=0.039). Among patients with AIRDs, comorbidities (OR 2.0;95%CI: 1.08-3.6, p=0.026), and advanced treatment (OR: 1.9;95%CI: 1.08-3.3, p=0.024), or intensive care (OR: 3.8;95%CI: 1.01-14.4, p=0.047) for severe COVID-19 were risk factors for PCS. Notably, patients who developed PCS had poorer PROMIS global physical [15 (12-17) vs 12 (9-15)] and mental health [14 (11-16) vs 11 (8-14)] scores than those without PCS. Conclusion Individuals with AIRDs have a greater risk of PCS than HCs. Associated comorbid conditions, and advanced treatment or intensive care unit admission for severe COVID-19 confer a higher risk of PCS. It is imperative to identify risk factors for PCS for immediate multidisciplinary management in anticipation of poor physical and mental health.

Flares Following Covid-19 Vaccination in Patients with Idiopathic Inflammatory Myopathies: Combined Analysis from the Covid-19 Vaccination in Autoimmune Diseases (Covad) Studies

Background/Aims Flares following COVID-19 vaccination are an emerging concern among patients with rare rheumatic disease like idiopathic inflammatory myositis (IIMs), whereas data and understanding of this is rather limited. We aimed to study the prevalence, characteristics and determinants of IIM flares following COVID-19 vaccination. Methods CoVAD (COVID-19 Vaccination In Autoimmune Diseases) surveys are global patient self-reported e-surveys from 109 countries conducted in 2021 and 2022. Flares of IIM were defined by 4 definitions;a. patient self-reported, b. physician and immunosuppression (IS) denoted, c. sign directed (new erythematous rash, or worsening myositis or arthritis), d. MCID worsening of PROMISPF10a score between the patients who had taken both surveys. Descriptive statistics and multivariate regression were used to describe the predictors of flare. Cox-regression analysis was used to differentiate flares by IIM subtypes. Results Among the 1,278 IIM patients, aged 63 (50-71) years, 276 (21.5%) were dermatomyositis, 237 (18.5%) IBM, 899 (70.3%) were female and most were Caucasian (80.8%). Flares of IIM were seen in 123/1278 (9.6%), 163/1278 (12.7%), 112/1278 (8.7%), and 16/96 (19.6%) by definitions a-d respectively with median time to flare being 71.5 (10.7- 235) days. Muscle weakness (69.1%), and fatigue (56.9%) were the most common symptoms of flare. The predictors of self-reported flare were: inactive/disease in remission prior to first dose of vaccine (OR=4.3, 95%CI=2.4-7.6), and anxiety disorder (OR=2.2, 95%CI=1.1-4.7). Rituximab use (OR=0.3, 95%CI=0.1-0.7) and IBM (OR=0.3, 95%CI=0.1-0.7) were protective. Physician defined flares were seen more often in females, mixed ethnicity, and those with asthma, ILD, and anxiety disorder (OR ranging 1.6-7.0, all p<0.05). Notably, overlap myositis (OM) had higher HR for flare compared to polymyositis (HR=2.3, 95%CI=1.2-4.4, p=0.010). Conclusion Nearly one in ten individuals with IIM develop flares after vaccination, more so among women, those with overlap myositis, and inactive disease prior to vaccination. Formal definition of flares in IIM is needed.

Autoimmune multimorbidity and fatigue in women with idiopathic inflammatory myopathies: an international, patient-reported, e-survey

Background: Idiopathic inflammatory myopathies are a group of rare systemic autoimmune rheumatic diseases with substantial heterogeneity. We aimed to investigate gender differences in patient-reported outcomes and treatment regimens of people with idiopathic inflammatory myopathies. Method(s): This international, patient-reported, e-survey was conducted worldwide. We used data from the COVID-19 vaccination in autoimmune disease (COVAD) study, a large-scale, international, self-reported e-survey assessing the safety of COVID-19 vaccination in patients older than 18 years with autoimmune rheumatic diseases, including idiopathic inflammatory myopathies. The COVAD study was conducted in more than 80 health-care centres, including hospitals, clinics, and universities located in more than 50 countries worldwide and on social media platforms, such as Facebook and Twitter. The COVAD e-survey was open between April 1, 2021, and Dec 31, 2021. We extracted survey data regarding demographics;autoimmune rheumatic disease diagnosis;autoimmune multimorbidity (three or more autoimmune rheumatic disease diagnoses for each patient);current corticosteroid or immunosuppressant use;and patient-reported outcomes, including fatigue and pain Visual Analogue Scale (VAS), and PROMIS short form-physical function 10a (PF-10a). Gender was reported by participants with three options (men, women, or do not wish to disclose). Patient-reported outcomes and corticosteroid or immunosuppressant use were compared between men and women. Participants with inclusion body myositis were analysed separately due to the substantial difference in treatment and disease outcomes compared with other idiopathic inflammatory myopathy subtypes. Factors affecting each patient-reported outcome were determined using multivariable analysis. Finding(s): The survey data were extracted on Aug 31, 2021, and 1202 complete responses from participants with idiopathic inflammatory myopathies were analysed. Five patients who did not wish to disclose gender were excluded. 845 (70.6%) of the remaining 1197 were women. Women were younger than men (median 58 years [IQR 48-68] vs 69 years [58-75];p=0.00010). Autoimmune multimorbidity was more common in women than in men (94 [11.1%] of 845 vs 11 [3.1%] of 352;p<0.0001). Corticosteroid use was similar in men and women with idiopathic inflammatory myopathies (except for inclusion body myositis), whereas the distribution of immunosuppressants was different, with higher hydroxychloroquine use in women (131 [18.3%] of 717 vs 11 [6.9%] of 159 in men;p=0.0082). The median fatigue VAS was significantly higher in women than in men (5 [IQR 3-7] vs 4 [2-6];p=0.0036), whereas the gender difference in pain VAS (median 3 [IQR 1-5] in women vs 2 [0-4] in men;p=0.064) and PROMIS PF-10a scores (38 [31-45] vs 39 [30-47];p=0.29) was non-significant. There were no significant differences in patient-reported outcomes and treatment in participants with inclusion body myositis. The multivariable analysis of idiopathic inflammatory myopathies (except for inclusion body myositis) revealed that female sex, residence in high-income countries, a diagnosis of overlap myositis, and autoimmune multimorbidity were independent risk factors for higher fatigue VAS. Interpretation(s): Women with Idiopathic inflammatory myopathies frequently have autoimmune multimorbidity and increased fatigue compared with men, calling for greater attention and further research on targeted treatment approaches. Funding(s): None.Copyright © 2022 Elsevier Ltd

Covid-19 Outcomes in Patients with Dermatomyositis: A Registry-Based Cohort Analysis

Background. Rheumatic diseases (RDs) like Dermatomyositis (DM) are previously known to be vulnerable to various infections due to its aggressive activity mandating high dose immunosuppressive therapy. The severity of COVID-19 in RDs is limited in literature due to the heterogeneous nature of the condition. Therefore, specific details on mortality are essential to navigate any precautions required in the treatment. This study aimed to determine outcomes of COVID-19 in DM as compared to controls, and identify the risk association of gender, race, interstitial lung disease, neoplasms, and use of immunosuppressants. Methods. Retrospective data of individuals with DM and healthy controls (HCs), with COVID-19, between January and August 2020 was retrieved from the Tri-NetX database. A one-to-one matched COVID-19 positive control was selected using propensity score (PS) matching. We assessed COVID-19 outcomes such as mortality, hospitalisation, ICU admission, severe COVID-19, mechanical ventilation (MV), acute kidney injury (AKI), venous thromboembolism (VTE), ischemic stroke, acute respiratory distress syndrome (ARDS), renal replacement therapy (RRT) and sepsis. Subgroup analyses included gender, race, interstitial lung disease (ILD), cancer patients, disease-modifying rheumatic drugs (DMARDs) use, and glucocorticoids (GC) use. Results. We identified 5,574 DM patients with COVID-19, and 5,574 HCs with COVID-19. DM patients with COVID-19 had a lower risk of mortality [RR 0.76], hospitalisation [RR 0.8], severe COVID-19 [RR 0.76], AKI [RR 0.83], and sepsis [RR 0.73] in comparison to HCs. Males and African Americans were more likely to develop AKI [RR 1.35, 1.65], while African Americans were at a higher risk of severe COVID-19 [RR 1.62] and VTE [RR 1.54]. DM patients with ILD were also at a higher risk of severe COVID-19 infection [RR 1.64], and VTE [RR 2.06]. DM patients receiving DMARDs and glucocorticoids had a higher risk of hospitalisation [RR 1.46, 2.12], and sepsis [RR 3.25] (Table I). Subgroup analysis of neoplasms amongst DM patients with COVID-19 had inadequate numbers for meaningful comparison. Conclusions. DM patients are protected from certain poor clinical outcomes of COVID-19, including severe COVID-19, hospitalisation, and mortality, in comparison to healthy individuals. However, certain subgroups with DM have worse outcomes. Men, African Americans, and patients with interstitial lung disease, exhibited higher risk of severe COVID-19. DMARDs and glucocorticoid use were associated with frequent hospitalisations and severe sepsis.

Covid-19 Severity and Vaccine Breakthrough Infections in Idiopathic Inflammatory Myopathies, Other Systemic Autoimmune and Inflammatory Diseases, and Healthy Individuals: Results from the Covid-19 Vaccination in Autoimmune Diseases (Covad) Study

Background. Significant gaps are present in the evidence of the spectrum and severity of COVID-19 infection in idiopathic inflammatory myopathies (IIMs). Patients with IIMs typically require immunosuppressive therapy, may have multiple disease sequelae, and frequent comorbidities, and thus may be more susceptible to severe COVID-19 infection and complications. The possibility of attenuated immunogenicity and reduced efficacy of COVID-19 vaccines due to concomitant immunosuppressive medication is a major concern in these patients, and there is little data available on COVID-19 vaccine breakthrough infections (BI) in IIMs Methods. We developed an extensive patient self-reporting electronic-survey (COVAD survey) featuring 36 questions to collect respondent demographics, SAID details, COVID-19 infection history, COVID-19 vaccination details, 7-day post vaccination adverse events and patient reported outcome measures using the PROMIS tool. After pilot testing, validation, translation into 18 languages on the online platform surveymonkey.com, and vetting by international experts, the COVAD survey was circulated in early 2021 by a multicenter study group of >110 collaborators in 94 countries. BI was defined as COVID-19 infection occurring more than 2 weeks after receiving 1st dose of a COVID-19 vaccine. We analysed data from the baseline survey for descriptive and intergroup comparative statistics based on data distribution and variable type. Results. Data from 10,900 respondents [42 (30-55) years, 74% females, 45% Caucasians] were analysed. Most were HCs (47%), followed by SAIDs (42%) and IIMs (11%). All respondents included in the final analysis had received a single dose of the vaccine and 69% had received 2 primary doses. Pfizer (39.8%) was the most common vaccine received, followed by Oxford/AstraZeneca (13.4%), and Covishield (10.9%). IIM patients were older, had a higher Caucasian representation and higher Pfizer uptake than other SAIDs, and HC. A higher proportion of IIM patients received immunosuppressants than other SAIDs. After adjustment for covariates, COVID-19 severity and BIs were comparable among patients with IIMs, SAIDs, and HCs, except for all-cause hospitalisation prior to vaccination (IIMs vs. HCs, OR=2.5, 95%CI 1.1-5.8) and COVID-19 cases prior to vaccination (IIMs vs. SAIDs, OR=0.6, 95%CI 0.4-0.8, and IIMs vs HCs, OR=0.4, 95%CI 0.3-0.5). BIs in IIMs were uncommon, with only 17 (1.4%) patients reporting BIs, of whom 13 were on immunosuppressants, and 3 required hospitalisation. Unvaccinated individuals with IIMs were at 4.6 (95%CI 2.7-8.0) times higher odds for developing COVID-19, and the 2nd vaccine dose had a protective effect on BI occurrence (Figure 1). Conclusion. IIMs patients reported fewer COVID-19 prior to vaccination than SAIDs and HCs, but had higher odds of all-cause hospitalisation than HCs. Vaccination protected patients with IIMs against COVID-19. COVID-19 breakthrough infections were uncommon in IIMs, with a similar symptom profile, disease duration, and severity in comparison to patients with SAIDs and HCs.

Autoimmune multimorbidity and higher fatigue VAS in women with idiopathic inflammatory myopathies: Results from the international COVAD patient-reported e-survey

Background/Purpose: Idiopathic inflammatory myopathies (IIMs) are a group of rare systemic autoimmune rheumatic diseases (AIRDs) with considerable heterogeneity. Little is reported about gender difference in patient-reported outcomes (PROs) of those with IIMs, which have a significant impact on health-related quality of life. We aimed to investigate the gender difference in PROs and treatment regimens of IIM patients utilizing data obtained in the COVID-19 vaccination in autoimmune disease (COVAD) study, a large-scale, international self-reported e-survey assessing the safety of COVID-19 vaccination in patients with various AIRDs including IIMs. Method(s): The COVAD study was launched in April 2021 and continued until December 31, 2021. The survey data regarding demographics, AIRD diagnosis, autoimmune multimorbidity (defined as three or more AIRD diagnoses for each patient), disease activity, current corticosteroid or immunosuppressant use, and PROs including fatigue and pain VAS, PROMIS Short Form -Physical Function 10a (PROMIS PF-10a), general health status, and ability to carry out routine activities were extracted from the COVAD database. Each PRO, disease activity, and treatments were compared between women and men. Patients with inclusion body myositis (IBM) were analyzed separately due to significant difference in treatment regimens and outcomes compared to other IIM subtypes. Factors affecting each PRO were determined by multivariable analysis. Result(s): 1197 complete responses from IIM patients as of August 2021 were analyzed. 845 (70.6%) patients were women. Women were younger (58 [48-68] vs. 69 [58-75] years old, median [interquartile range (IQR)], P0.001), and more likely to suffer from autoimmune multimorbidity compared to men (11.1% vs. 3.1%, P 0.001;Table 1). In patients with non-IBM IIMs, disease activity and corticosteroid use were comparable in both genders, while the distribution of immunosuppressant use was different (P = 0.002), with more hydroxychloroquine use in women (18.3% vs. 6.9%). The median fatigue VAS was significantly higher in women than in men (5 [IQR 3-7] vs. 4 [IQR 2-6], P = 0.004), whereas gender difference in the other PROs was not statistically significant (Table 2). In patients with IBM, on the other hand, no significant gender differences in PROs and treatment regimens were observed. The multivariable analysis in non-IBM IIMs revealed women, living in high-income countries, overlap myositis, and autoimmune multimorbidity as independent factors for higher fatigue VAS. Conclusion(s): Women with IIMs frequently suffer from autoimmune multimorbidity, and also experience more fatigue compared to men, calling for greater attention and further research on targeted treatment approaches. (Table Presented).

COVID19 vaccination-related short-term adverse events in patients with idiopathic inflammatory myositis and autoimmune multimorbidity: Results from the COVAD survey

Background: COVID-19 vaccines are safe & effective, though patients with rheumatic diseases like idiopathic inflammatory myositis (IIMs), and those with multiple comorbidities continue to be hesitant. Adverse events after vaccination are not extensively studied in those with multiple coexisting autoimmune diseases. Patients with IIM often have multiple autoimmune rheumatic and autoimmune non-rheumatic comorbidities (IIM-AIDs), with potentially increased risk of AEs. The COVAD study aimed to assess COVID-19 vaccination-related AEs till 7 days post-vaccination in IIM-AIDs compared to IIMs and healthy controls (HCs) group. Method(s): T he C OVAD s tudy g roup c omprised > 110 c ollaborators across 94 countries. The study was conducted from March-December 2021. A survey monkey platform-based self-reported online survey captured data related to COVID-19 vaccination-related AEs in IIMs, AIDs, and HCs. We compared COVID-19 vaccination-related AEs among IIM-AID patients and IIM alone and HCs, adjusting for age, gender, ethnicity, vaccine type, immunosuppression, and numbers of AIDs, using binary logistic regression. Statistically significant results following multivariate regression are reported. Result(s): Among 6099 participants, 1387 (22.7%) IIM, 4712 (77.2%) HC, 66.3% females, were included from 18 882 respondents: 573 (41.0%) people with IIM-AIDs;814 (59.0%) with IIM without other AIDs;and 4712 HCs. People with IIM were older [median 54 (45-66) IIM-AIDs, 64 (50-73) IIM, 34 (26-47) HC years, P < 0.001]. BNT162b2 (Pfizer) (37.5%) and ChAdOx1nCoV-19 (Oxford) (11.1%) were the most common vaccines. When compared to IIM alone, IIM-AID patients reported higher overall AEs [OR 1.5 (1.1-2.1)], minor AE [OR 1.5 (1.1-2.1)] &major AE [OR 3 (1.5-5.8)]. IIM-AIDs patients also reported higher body ache, nausea, headache, & fatigue (OR ranging 1.3-2.3). After adjusting for the number of AIDs, the major AEs equalized but overall AEs, & minor AEs, such as fatigue remained higher. When compared to HCs, IIM-AIDs patients reported similar overall AEs, minor AEs but higher major AEs [OR 2 (1.2-3.3)] nausea/ vomiting [OR 1.4 (1.01-2)], headache [OR 1.2 (1.01-1.6)], and fatigue [OR 1.3 (1.03-1.6)]. Dermatomyositis with AIDs (n = 183) reported higher major AEs [OR 4.3 (1.5-12)] compared to DM alone (n = 293). Active IIM with AIDs (n = 482) reported higher overall AEs [OR 1.5 (1.1-2.2)], minor AEs [OR 1.5 (1.1-2.2)] and major AEs [OR 2.6 (1.2-5.2)] compared to active IIM alone (n = 643). Conclusion(s): COVID-19 vaccination is safe with minimal to no risks of short-term AEs in patients with IIM without other concomitant autoimmune diseases. The presence of autoimmune multimorbidity conferred higher self-reported short-term risks of overall, major, and minor COVID-19 vaccination-related AEs 7 days post-vaccination, particularly in those with active IIM.

Vaccine hesitancy among patients with idiopathic inflammatory myopathies and rheumatic diseases patients in 2021-2022: Covad survey

Background: Patients with comorbidities and active rheumatic disease have increased morbidity and hospitalization following SARS-CoV- 2 infection. While vaccination has decreased this, many unknown factors still influence COVID-19 vaccine hesitancy. The data on predictors of vaccine hesitancy is regional and scarce. We aimed to analyze the factors influencing vaccine hesitancy in 2022 and compare them with those in 2021 through multicentre international e-surveys (The COVID-19 Vaccination in Autoimmune Diseases Studies -COVAD study 1 and 2). Method(s): COVAD 1 and 2 are multi-centre international e-survey with 152 collaborators in 106 countries including patients with idiopathic inflammatory myopathies (IIM), autoimmune rheumatic diseases (AIRDs), other autoimmune diseases (AIDs), and healthy controls (HCs) conducted in March-December 2021 and February-June 2022 (ongoing), respectively. Descriptive and multivariable regression adjusting for age, gender, ethnicity, and stratified by country of residence was performed. Result(s): Among the 18 882 (2021) and 7666 complete responses (2022), and 3109 (16.5%) and 387 (5.1%) did not receive any COVID-19 vaccine, respectively. The prevalence of vaccine hesitancy has decreased [OR 0.26 (0.24-0.3), P < 0.001]. Among the 387 vaccine non-recipients in 2022, numbers were as follows: IIM 69 (17%), AIRDs 179 (46%), other AIDs 80 (20.6%), and HC 59 (15%). The reasons for vaccine hesitancy in 2022 included: doctor advising against it 47 (12%), do not believe in the science behind the vaccine 79 (21%), long-term safety concerns 152 (39%), awaiting more safety data 105 (27%), and not recommended due to recent infection 30 (7%). Compared to AIRDs and HCs, IIM patients were more disbelievers of the science behind the vaccine [OR 1.8 (1.08-3.2), P = 0.023 AIRDs, OR 4 (1.9-8.1), P < 0.001 HC], had more long-term safety concerns [OR 1.9 (1.2-2.9), P = 0.001 AIRDs, OR 5.4 (3-9.6), P < 0.001 HC] and had more doctors recommending against the vaccine [OR 12.9 (2.8-59), P < 0.001 HC]. Vaccine non-recipients had higher pain visual analog score (VAS) (P < 0.001), lower fatigue VAS (P = 0.003), lower PROMIS10a physical health (P < 0.001), and mental health scores (P = 0.015). The factors predicting vaccine hesitancy in regression were lower PROMIS10a global physical health score [OR 0.9 (0.8-0.97), P = 0.014] and Caucasian ethnicity [OR 4.2 (1.7-10.3), P = 0.001]. Compared to 2021, doctor's advising against vaccination [OR 2.5 (1.8-3.6), P < 0.001] and long-term safety concerns [OR 3.6 (2.9-4.6), P < 0.001] were more frequent causes of vaccine hesitancy overall whereas vaccine non-availability [OR 0.05 (0.02-0.11), P < 0.001] and have scheduled the vaccination but not received [OR 0.1 (0.06-0.3), P < 0.001] were less frequent causes in 2022. Conclusion(s): Overall, the prevalence of COVID-19 vaccine hesitancy has decreased. Long-term safety concerns and the need for more safety data are now the major reasons for vaccine hesitancy. Caucasian ethnicity and lower physical health scores are predictors of vaccine hesitancy. The increase in physicians recommending against vaccination calls for more physician awareness to mitigate vaccine hesitancy.

The Effect of Covid-19 on the Management of Acute Ureteric Colic in a Tertiary Hospital

Introduction: The Covid-19 pandemic forced changes to care pathways. We have analysed the difference in provision of care to patients presenting with ureteric colic during the pandemic (PC) compared to a pre-pandemic cohort (PPC). Method: A list was generated of all CT KUB scans requested in the emergency department. Imaging and notes were reviewed to identify acute ureteric colic presentations in September to December 2019 and 2020. Statistical significance was calculated using either the Student T-test or Chi-squared test. Results: There were 92 patients in the PC, and 107 in the PPC. Primary treatment was provided for more patients during the pandemic (25% vs 10%, p<0.05), mainly by extracorporeal shockwave therapy (ESWL, 21% vs 7%, p<0.05). The rate of conservative management (64% vs 76%, p>0.05), temporising stent (11% vs 14%, p>0.05), and nephrostomy insertion (1% vs 1%, p>0.05) was similar in PC and PPC. The PC had a shorter time to intervention (17 vs 39 days, p<0.05), to ESWL (4 vs 12 days, p>0.05), to ureteroscopy (35 vs 45 days, p>0.05), and to stone passage confirmation (44 vs 91 days, p<0.05) respectively. There was no follow up for 15% and 30% respectively (p<0.05). Conclusion: During the pandemic, a reduction in electives created capacity for urgent interventions, (21% vs 7% ESWL, 4 vs 12 waiting days). Accordingly, the stone passage confirmation time was more than halved (44 vs 91 days). In accordance with recommendations from NICE, TISU and GIRFT, this demonstrates the importance of ringfencing ESWL, particularly as we emerge from the pandemic.

COVID-19 OUTCOMES in PATIENTS with DERMATOMYOSITIS: A REGISTRY-BASED COHORT ANALYSIS

Background: Dermatomyositis (DM) patients have fewer risks of COVID-19 infection compared to the general population, however, certain subgroups with DM have worse outcomes. Men. African Americans, those with interstitial lung disease, exhibited higher risks of severe COVID-19. DMARD and glucocorticoid use was associated with frequent hospitalisations and severe sepsis. Objectives: Rheumatic diseases (RDs) like DM, are previously known to be vulnerable towards various types of infections due to its aggressive activity mandating high dose immunosuppressive therapy. The severity of COVID-19 in RDs is limited in literature due to the heterogeneous nature of the condition. Therefore, specifc details on mortality is essential to navigate any precautions required in the treatment. Methods: Retrospective data of individuals with DM and COVID-19 and the general population with COVID-19 between January 2020 to August 2020 was retrieved from the TriNetX database. A one-to-one matched COVID-19 positive control was selected using propensity score (PS) matching. We assessed COVID-19 outcomes such as mortality, hospitalisation, ICU admission, severe COVID-19, mechanical ventilation (MV), acute kidney injury (AKI), venous thromboembo-lism (VTE), ischemic stroke, acute respiratory distress syndrome (ARDS), renal replacement therapy (RRT) and sepsis. Subgroup analyses included gender, race, ILD, cancer patients, disease-modifying rheumatic drugs (DMARDs) use, and glucocorticoids (GC) use (Figure 1). Results: We identifed 5,574 DM patients with COVID-19, and 5,574 general population with COVID-19 (controls). DM with COVID-19 had a lower risk of mortality in comparison to controls [RR 0.76], hospitalisation [RR 0.8], severe COVID-19 [RR 0.76], AKI [RR 0.83], and sepsis [RR 0.73]. Males and African Americans were more likely to develop AKI [RR 1.35, 1.65], while African Americans had higher odds for severe COVID-19 [RR 1.62] and VTE [RR 1.54]. DM with ILD group also experienced higher odds for severe COVID-19 infection [RR 1.64], and VTE [RR 2.06] (Figure 1). DM patients receiving DMARDs and glucocorticoids had higher odds for hospitalisation [RR 1.46, 2.12], and sepsis [RR 3.25] Subgroup analysis of neoplasms amongst DM patients with COVID-19 was inadequate for meaningful comparison (Figure 1). Conclusion: DM patients are protected for certain aspects of COVID-19 disease, including severe COVID-19, hospitalization, and mortality. The African American race, male gender, ILD, DMARDS and glucocorticoid users, are associated with poor outcomes.

COVID-19 VACCINATION-RELATED ADVERSE EVENTS among AUTOIMMUNE DISEASE PATIENTS: RESULTS from the COVID-19 VACCINATION in AUTOIMMUNE DISEASES (COVAD) STUDY

Background: COVID-19 vaccines have been proven to be safe and effective in the healthy population at large. However, signifcant gaps remain in the evidence of their safety in patients with systemic autoimmune and infammatory disorders (SAIDs). Patients and rheumatologists have expressed concerns regarding vaccination triggered allergic reactions, thrombogenic events, and other adverse events (ADEs) contributing to vaccine hesitancy (1) Objectives: This study aimed to assess and compare short term COVID-19 vaccination associated ADEs in patients with SAIDs and healthy controls (HC) seven days post-vaccination, as well as between patients with SAIDs receiving different vaccines. Methods: We developed an comprehensive, patient self-reporting electronic-survey to collect respondent demographics, SAID details, COVID-19 infection history, COVID-19 vaccination details, 7-day post vaccination adverse events and patient reported outcome measures using the PROMIS tool. After pilot testing, validation, translation into 18 languages on the online platform surveymonkey.com, and vetting by international experts, the survey was circulated in early 2021 by a multicenter study group of >110 collaborators in 94 countries. ADEs were categorized as injection site pain, minor ADEs, major ADEs, and hospitalizations. We analyzed data from the baseline survey for descriptive and intergroup comparative statistics based on data distribution and variable type (data as median, IQR). Results: 10900 respondents [42 (30-55) years, 74% females and 45% Caucasians] were analyzed. 5,867 patients (54%) with SAIDs were compared with 5033 HCs. All respondents included in the fnal analysis had received a single dose of the vaccine and 69% had received 2 primary doses. Pfzer (39.8%) was the most common vaccine received, followed by Oxford/AstraZeneca (13.4%), and Covishield (10.9%). Baseline demographics differed by an older SAID population (mean age 42 vs. 33 years) and a greater female predominance (M:F= 1:4.7 vs. 1:1.8) compared to HCs. 79% had minor and only 3% had major vaccine ADEs requiring urgent medical attention overall. In adjusted analysis, among minor ADEs, abdominal pain [mul-tivariate OR 1. 6 (1.14-2.3)], dizziness [multivariate OR 1. 3 (1.2-1.5)], and headache [multivariate OR 1.67 (1.3-2.2)], were more frequent in SAIDs than HCs. Overall major ADEs [multivariate OR 1. 9 (1.6-2.2)], and throat closure [multivar-iate OR 5.7 (2.9-11.3)] were more frequent in SAIDs though absolute risk was small (0-4%) and rates of hospitalization were similarly small in both groups, with a small absolute risk (0-4%). Specific minor ADEs frequencies were different among different vaccine types, however, major ADEs and hospitalizations overall were rare (0-4%) and comparable across vaccine types in patients with SAIDs (Figure 1). Conclusion: Vaccination against COVID-19 is relatively safe and tolerable in patients with SAIDs. Certain minor vaccine ADEs are more frequent in SAIDs than HCs in this study, though are not severe and do not require urgent medical attention. SAIDs were at a higher risk of major ADEs than HCs, though absolute risk was small, and did not lead to increased hospitalizations. There are small differences in minor ADEs between vaccine types in patients with SAIDs.

HIGH FATIGUE SCORES in PATIENTS with IDIOPATHIC INFLAMMATORY MYOPATHIES: A MULTIGROUP COMPARATIVE STUDY from the COVAD E-SURVEY

Background: Idiopathic inflammatory myopathies (IIM) are a rare, multisystem, heterogeneous diseases, and contribute to high psychological burden. The patients' perception of physical health, deteriorating independence and social and environmental relationships may not always be a direct function of disease activity. To face with these aspects, several worldwide specialized organization have recommended the use of patient reported outcome measures (PROMs) both in clinical trials and observational studies to highlight patient's perception of the disease (1). Unfortunately, data on fatigue scores in IIM is limited. Objectives: We compared fatigue VAS scores in patients with IIM, autoimmune diseases (AIDs) and healthy controls (HCs) and triangulated them with PROMIS physical function in a large international cohort made up of answers from the e-survey regarding the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. Methods: Data of 16327 respondents was extracted from the COVAD database on August 31th 2021. VAS fatigue scores were compared between AID, HC and IIM using univariate followed by multivariate analysis after adjusting for baseline differences. We further performed a propensity score matched analysis on 1827 subjects after adjusting for age, gender and ethnicity. The Kruskal-Wallis test was used for continuous variables and chi-square test for categorical variables, and Bonferroni's correction was applied for the post hoc analyses considering IIMs as a reference group. Results: We analyzed answers from 6988 patients, with a mean age of 43.8 years (SD 16.2). The overall percentage of female was 72% and the population ethnicity was mainly composed of White (55.1%), followed by Asian (24.6%), and Hispanic (13.8%). The overall fatigue VAS was 3.6 mm (SD 2.7). IIMs VAS was 4.8 mm (SD 2.6), AIDs 4.5 mm (SD 2.6), and HC 2.8 mm (SD 2.6) (P <0,001). VAS fatigue scores of IIMs were comparable with AIDs (P 0.084), albeit signifcantly higher than the HCs (P <0,001). Notably, fatigue VAS was lower in IIMs than AIDs in two distinct subsets: inactive disease as defned by the patient's perception and the 'excellent' general health condition group, where IIMs had worse scores (P <0,05). Interestingly, fatigue VAS was comparable in active disease defned by physician assessment, patient perception, based on general functional status, or when defned by steroid dose being prescribed. Notably, after propensity matched analysis of patients adjusting for gender, age and ethnicity (1.827 answers, I.e. 609 subjects per group, P =1) the differences disappeared and IIMs and AIDs had comparable fatigue levels across all levels of disease activity, although the fatigue discrepancies with HCs were substantially confrmed. After application of a multivariate linear regression analysis we found that lower fatigue VAS scores were related to HC (P <0,001), male gender (P <0,001), Asian and Hispanic ethnicities (P <0,001 and 0,003). Conclusion: Our study confrms that there is a higher prevalence of fatigue in all the AIDs patients, with comparable VAS scores between IIMs and other AIDs. We can also read our data commenting that females and/or Caucasians patients suffer a higher impact of this manifestation of chronic autoimmune diseases upon their lives. This is why these subjects, to our judgement, should be carefully evaluated during outpatients visits and to whom we should spend some extra time to discuss health related issues and how to improve them.