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.

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.

Unveiling the prevalence and impact of diabetes on COVID-19

Novel Coronavirus (COVID-19) is an infectious respiratory illness caused by the SARS-CoV-2 virus, which is a novel coronavirus first reported in the Wuhan district of China in December 2019. Its outbreak has caused the second biggest ever pandemic known to humankind with recorded death tallies close to 50 lakhs till date. The primary targets of infection and pathogenicity of the virus are the lung pneumocytes whose gradual destruction leads to acute respiratory distress. Increasing number of evidences have indicated that severe consequences from COVID-19 occur mostly in people predisposed with obesity, hypertension, diabetes, or other related comorbidities. This has initiated a collective quest among researchers and scientists to decipher the crosstalk between glycemic markers, viral proteins, and immune mediators/(modulators). Patients with hyperglycemia have elevated levels of proinflammatory cytokines that immediately suggest their susceptibility to the viral infection. However, concentration of ACE-2, the chief receptor for SARS-COV2 entry into host cells, has been found to be significantly repressed in individuals with impaired insulin sensitivity. Thus, the comorbidity puzzle has continued to intrigue scientists, and subsequently, effective management and therapy of diabetic patients with COVID-19 symptoms and vice versa has thrown a big challenge to the medical science. This chapter is a comprehensive report of the studies carried out so far to understand the disease susceptibility of diabetic patients to COVID-19, corresponding immune dysbiosis and more efficient management strategy for better prognosis of COVID-19-infected diabetic individuals. © 2023 Elsevier Inc. All rights reserved.

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.

Indian Multicenter Phase Ii Randomised Controlled Study Comparing Post Stem Cell Maintenance Regimen for Newly Diagnosed Multiple Myeloma (Impose Bortecon Study)

Introduction: Autologous stem cell transplant (ASCT) remains the backbone therapeutic modality with the highest progression-free survival (PFS) and overall survival (OS) benefit even in the era of the novel agents in newly diagnosed multiple myeloma (NDMM). The survival post-transplant can be prolonged using maintenance therapies. The regimen with maximum benefit is still debated, with bortezomib showing PFS benefit even in the high-risk myeloma. Aims & Objectives: This randomized phase II trial is aimed at studying the efficacy (as measured by overall survival (OS), progression- free survival (PFS)), and safety of post-ASCT different maintenance regimens in patients with NDMM. Material(s) and Method(s): Multicentric open-label interventional study with randomized allocation, parallel assignment, with intention-totreat analysis. Recruitment was prospective starting 01 Jan 2017, including all NDMM patients eligible for the study. Remission status was evaluated at D100 and every 6 months for 2y post-ASCT, including MRD analysis by multicolor flow cytometry (MFC) and PET/CT. The four arms included (Arm-A) bortezomib alone (V), (Arm-B) bortezomib in combination with cyclophosphamide and dexamethasone (VCD), (Arm-C) bortezomib in combination with lenalidomide (VR), and (Arm-D) Lenalidomide starting D100 till 2y post-ASCT. Adverse events with CTACE grade<2 were defined as non-serious and the rest as serious. JMP ver. 13 was used for statistical analysis and p<0.05 was considered significant. Kaplan Meier statistics was used for survival analysis. Result(s): A total of 123 patients have enrolled of which 92 patients completed the study protocol and the rest 31 patients were excluded because of protocol deviation due to the COVID pandemic. The median age of the study population was 54.5y (35-76y) with a male preponderance (67%). There was no statistically significant difference between the four arms on the log-rank test in the OS (p-0.99), clinical PFS (p-0.65), biochemical PFS (p-0.6), or MFC-based PFS (p-0.83). There was a statistically significant difference between the four arms on the log-rank test (p-0.0185) on PET/CT-based PFS (PFS being in a descending order VCD>V>VR>R regimen). The all-cause mortality of the study participants was 19.57% (n-18) and the difference in deaths among the various groups was not statistically significant (p-0.85). The tolerability, serious and non-serious adverse were significantly higher amongst Arm D patients. Conclusion(s): We conclude that there was no difference in OS between the different regimens. Patients on Lenalidomide-only therapy had significantly inferior Imaging-PFS.

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.

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: Signifcant gaps are present in the evidence of the spectrum and severity of COVID-19 infection in idiopathic infammatory myopathies (IIM). IIM patients 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 (1). 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 IIM (2). Objectives: This study aimed to compare disease spectrum and severity and COVID-19 BI in patients with IIM, other systemic autoimmune and infammatory diseases (SAIDs) and healthy controls (HCs). Methods: We developed an extensive 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 defned as COVID-19 infection occurring more than 2 weeks after receiving 1st or 2nd dose of a COVID-19 vaccine. We analyzed data from the baseline survey for descriptive and intergroup comparative statistics based on data distribution and variable type. Results: 10900 respondents [mean age 42 (30-55) years, 74% females and 45% Caucasians] were analyzed. 1,227 (11.2%) had IIM, 4,640 (42.6%) had other SAIDs, and 5,033 (46.2%) were HC. 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%). IIM patients were older, had a higher Caucasian representation and higher Pfzer uptake than other SAIDs, and HC. A higher proportion of IIM patients received immu-nosuppressants than other SAIDs. IIMs were at a lower risk of symptomatic pre-vaccination COVID-19 infection compared to SAIDs [multivariate OR 0.6 (0.4-0.8)] and HCs [multivariate OR 0.39 (0.28-0.54)], yet at a higher risk of hospitalization due to COVID-19 compared to SAIDs [univariate OR 2.3 (1.2-3.5)] and HCs [multivariate OR 2.5 (1.1-5.8)]. BIs were very uncommon in IIM patients, with only 17 (1.4%) reporting BI. IIM patients were at a higher risk of contracting COVID-19 prior to vaccination than ≤2 weeks of vaccination [univariate OR 8 (4.1-15)] or BI [univariate OR 4.6 (2.7-8.0)]. BIs were equally severe compared to when they occurred prior to vaccination in IIMs, and were comparable between IIM, SAIDs, and HC (Figure 1), though BI disease duration was shorter in IIMs than SAIDs (7 vs 11 days, p 0.027). 13/17 IIM patients with BI were on immunosuppressants. Conclusion: IIM patients experienced COVID-19 infection less frequently prior to vaccination but were at a higher risk of hospitalization and requirement for oxygen therapy compared with patients with HC. Breakthrough COVID-19 infections were rare (1.4%) in vaccinated IIM patients, and were similar to HC and SAIDs, except for shorter disease duration in IIM.

IMPAIRED PROMIS PHYSICAL FUNCTION in IDIOPATHIC INFLAMMATORY MYOPATHY PATIENTS: RESULTS from the MULTICENTER COVAD PATIENT REPORTED E-SURVEY

Background: Evaluation of physical function is fundamental in the management of idiopathic infammatory myopathies (IIMs). Patient-Reported Outcome Measurement Information System (PROMIS) is a National Institute of Health initiative established in 2004 to develop patient-reported outcome measures (PROMs) with improved validity and efficacy. PROMIS Physical Function (PF) short forms have been validated for use in IIMs [1]. Objectives: To investigate the physical function status of IIM patients compared to those with non-IIM autoimmune diseases (AIDs) and healthy controls (HCs) utilizing PROMIS PF data obtained in the coronavirus disease-2019 (COVID-19) Vaccination in Autoimmune Diseases (COVAD) study, a large-scale, international self-reported e-survey assessing the safety of COVID-19 vaccines in AID patients [2]. Methods: The survey data regarding demographics, IIM and AID diagnosis, disease activity, and PROMIS PF short form-10a scores were extracted from the COVAD study database. The disease activity (active vs inactive) of each patient was assessed in 3 different ways: (1) physician's assessment (active if there was an increased immunosuppression), (2) patient's assessment (active vs inactive as per patient), and (3) current steroid use. These 3 defnitions of disease activity were applied independently to each patient. PROMIS PF-10a scores were compared between each disease category (IIMs vs non-IIM AIDs vs HCs), stratifed by disease activity based on the 3 defnitions stated above, employing negative binominal regression model. Multivariable regression analysis adjusted for age, gender, and ethnicity was performed clustering countries, and the predicted PROMIS PF-10a score was calculated based on the regression result. Factors affecting PROMIS PF-10a scores other than disease activity were identifed by another multivariable regression analysis in the patients with inactive disease (IIMs or non-IIM AIDs). Results: 1057 IIM patients, 3635 non-IIM AID patients, and 3981 HCs responded to the COVAD survey until August 2021. The median age of the respondents was 43 [IQR 30-56] years old, and 74.8% were female. Among IIM patients, dermatomyositis was the most prevalent diagnosis (34.8%), followed by inclusion body myositis (IBM) (23.6%), polymyositis (PM) (16.2%), anti-syn-thetase syndrome (11.8%), overlap myositis (7.9%), and immune-mediated necrotizing myopathy (IMNM) (4.6%). The predicted mean of PROMIS PF-10a scores was signifcantly lower in IIMs compared to non-IIM AIDs or HCs (36.3 [95% (CI) 35.5-37.1] vs 41.3 [95% CI 40.2-42.5] vs 46.2 [95% CI 45.8-46.6], P < 0.001), irrespective of disease activity or the defnitions of disease activity used (physician's assessment, patient's assessment, or steroid use) (Figure 1). The largest difference between active IIMs and non-IIM AIDs was observed when the disease activity was defned by patient's assessment (35.0 [95% CI 34.1-35.9] vs 40.1 [95% CI 38.7-41.5]). Considering the subgroups of IIMs, the scores were signifcantly lower in IBM in comparison with non-IBM IIMs (P < 0.001). The independent factors associated with low PROMIS PF-10a scores in the patients with inactive disease were older age, female gender, and the disease category being IBM, PM, or IMNM. Conclusion: Physical function is signifcantly impaired in IIMs compared to non-IIM AIDs or HCs, even in patients with inactive disease. The elderly, women, and IBM groups are the worst affected, suggesting that developing targeted strategies to minimize functional disability in certain groups may improve patient reported physical function and disease outcomes.

COVID-19 Convalescent Plasma Donor Deferral Experience in a Tertiary Care Hospital: A Retrospective Study

Introduction: Corona virus disease also named as severe respiratorycorona virus 2 (SARS-COV 2) has emerged as global pandemic with3,40,00,500 cases in India till date and 23,82,72,207 cases worldwide.Lack of evidence of effective treatment modalities for covid 19 anddelay in vaccination led to experimenting with classical and historicalinterventions as treatment options. In past convalescent plasma hasbeen proven effectiveness against various viral diseases.Aims &Objectives:1. Analyzing the reason for convalescent plasma donor deferral.2. Assessment of IgG COVID 19 antibody levels for convalescentplasma donor3. Enumerating donation frequency and stage of deferral.Materials &Methods: Donor were recruited as per ICMR protocolversion 1.6 PLACID trial and ICMR bulletin released thereafter. Apre set convalescent plasma donor selection criteria &screeninginvestigation were designed according to national guideline. All thepotential donor were screened telephonically and in person by medical expert from blood center. The retrospective analysis of CCPdonor deferral record from May 2020 to April 2021 was done. Frequency of donation was noted. Stage of deferral were defined as (1)Pre donation, (2) Screening, (3) Medical examination, (4) Phlebotomy. Brief physical examination and COVID 19 Ig G antibodywork up was done on fully automated Vitros Electro Chemiluminescence system.Result: Total number of donors screened were 992, out of which 544were deferred. Most common deferral was due to low antibody titre(50.55%), Unclear vein (8.63%), Anaemia (7.4%) High Blood Pressure (5.51%), Low Blood Pressure (2.20%), and others reasons33.08%. Average IgG antibody levels against COVID 19 in our set upwas 4.6 AU (Absorbance Unit/ml9). However the benchmark set byICMR advisory was 13 AU. Most deferrals were observed at Medicalexamination Stage. 11% of the donors deferred were repeat donors.Conclusions: The deferral rate in Convalescent plasma donors (55%)was much higher as compared to deferral rates observed in wholeblood donors (10-15%).Higher rates were mostly due to stricter donorselection criteria and low antibody levels prevailing in Indian population post COVID.

Concurrent Presentation of Acute Myeloid Leukemiawith COVID 19: A Diagnostic Challenge

Introduction: COVID-19 disease caused due to infection with thenovel coronavirus (SARS CoV-2) is causing havoc worldwide eversince its first appearance in Wuhan, China in December 2019.Although the awareness regarding the disease has increased manifoldsince its inception in December 2019, the treatment of patients withalready suppressed immune status owing to hematological malignancies and other comorbidities is a challenge. Patients withleukemias and COVID-19 show a higher fatality rate of 37%.Thetime-lapse between disease presentation and diagnosis is alsoincreased due to COVID-19 as many symptoms are overshadoweddue to the typical presentation of COVID-19.Aims &Objectives: The aim is to diagnose the patients with leukemias at the very onset of disease during this pandemic as theoutcome is very poor so that the management and follow-up of thepatients begin at the earliest.Materials &Methods: We are presenting case series of four patientsof COVID-19 with coexistent AML. The diagnosis was establishedwith the correlation of flow cytometry, bone marrow examination,and radiology.Interestingly all the patients diagnosed with AML were not havingany clinical abnormality before the COVID-19 infection so we feelthat this is a de-novo presentation of AML with COVID-19 and canonly speculate about the coronavirus per se causing the hematologicalmalignancy. However, more data is required to confirm this association, particularly the role of IL-6 and its direct effect in the causationof hematological malignancy.Result: One of the patients was in the intensive care unit for a weekhowever patient's condition deteriorated and he could not survive.Rest of them are under follow-up.Conclusions: Concurrent presentation of AML and COVID-19 ischallenging from a diagnostic and management point of view. Therehave been few case reports in patients with leukemia getting infectedwith COVID-19 but to the best of our knowledge, these are possiblythe first few cases of AML occurring in concurrence with COVID-19infection detected incidentally without any prior history of any significant disease. These cases highlight the association ofhematological malignancies with the current pandemic and also difficulty in their management.

Impact of coronavirus (Covid-19) outbreak on society, air quality, and economy in india: A study of three “p”s of sustainability in India

The outbreak of novel coronavirus (COVID-19) pandemic forced affected countries to implement strict lockdown to contain the spread of this disease before the advent of the vaccine. This containment resulted in social and economic crisis globally. This study evaluated the impact of COVID-19 on three “P” s of sustainability (Planet, People, and Profit) in India. A comparative analysis was conducted by evaluating the available secondary data in different sectors during the pre-lockdown and lockdown period. Seven major air quality parameters: particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ammonia (NH3), carbon monoxide (CO), and ozone (O3) were studied in six states of India to review the ambient air quality status. Stratified random sampling technique was used in this study for collective portrayal of the country’s air quality. A drastic cutback of the level of PM2.5 and PM10 with significant increase of O3 was observed in the lockdown phase for most of the selected monitoring stations. A significant change in level of PM2.5 and PM10 was observed when t-test was performed in between the pre-lockdown and lockdown period. Improvement of ambient air quality was also observed considering the air quality index (AQI) during lockdown. The trend and volatility of two broad Indian stock market indices, SENSEX and NIFTY-50, were analyzed, and results showed that both the indices have recovered during the forty-day lockdown phase. The potential effects of the crisis on various sectors of Indian economy were assessed in this study, and a set of policy recommendations for these sectors were suggested. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Hematogones: Mimicker and morphological confounder in a case of precursor T lymphoblastic leukemia

Aims & Objectives: B-lymphocyte progenitors, namely the hematogones may pose problems in morphological assessment of bone marrow, especially so when evaluating a marrow for remission status following chemotherapy. Here we describe a case of Precursor T lymphoblastic leukemia (T-ALL) when evaluated for remission status revealed 16% blasts, which on immunophenotypic analysis turned out to be hematogones. Patients/Materials & Methods: A 03 yr old female child, who was on therapy for Precursor T lymphoblastic leukemia, was lost to follow up after induction chemotherapy due to the Covid-19 scenario. Subsequently when the patient turned up, bone marrow was done to look for remission status. Results: Bone marrow on morphological assessment revealed 17% blasts and the disease was thought to have relapsed. However on clinical assessment, the patient was well preserved, her organomegaly had regressed with normal peripheral counts. Hence the marrow aspirate was subjected to flow cytometry, which revealed 12% cells in progenitor region, however these cells to our surprise turned out to be CD19 positive B-lymphoid progenitors and were negative for CD3 which is a specific marker for T cells. This was followed by T-ALL MRD analysis which revealed MRD negative status. The patient was put on subsequent phases of chemotherapy. Discussion & Conclusion: Hematogones are non neoplastic precursors of B-lymphocytes and are increased at times, confusing the morphologists. Increased levels (more than 5%) are seen to occur in cases following chemotherapy when marrow is recovering, posing a greater challenge in morphological assessment of remission status. Hemotogones are also known to increase in Non Hodgkin Lymphoma, following bone marrow transplantation, HIV cases and in thrombocytopenia cases. Highest number of hematogones (19%) is seen in a T-ALL case following chemotherapy, which is similar to our case. A panel of antibodies on flow cytometry could distinguish these hematogones from the neoplastic B lymphoblasts, which is essential in management of acute leukemias.