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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.
ABSTRACT
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.
ABSTRACT
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).
ABSTRACT
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.
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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.
ABSTRACT
The NHS workforce is exhausted. The fallout from the COVID-19 pandemic is ever present and likely to continue for the foreseeable future. We have been utilising appreciative inquiry methodology to redress the level of negativity, and restore wellbeing and cohesiveness within our elective theatre team. Appreciative inquiry is an asset-based philosophy that can be used as a change management tool. Two of the main principles of appreciative inquiry are: 'what we choose to focus on will expand', and 'we can create our future by how we interpret our current reality'. We wanted to channel these principles to help us focus on the specific contributions from team members and how those contributions create the atmosphere in our operating theatres. Methods Our elective theatre lists usually close with a debrief session, which now incorporate The Well (see Fig. 1). The Well helps to identify moments in the working day that were effective or went well. Each team member picks discussion points and shares the story of what they noticed that was successful. We also collected feedback on the new format for the debrief session. Results All the stories were collated, and the top three themes were: making connections, shared decision-making, communication. Two examples shared during the sessions: 'There was a change to the list order, but this did not impact on the running of the list. There was a flow of communication between us - we were in sync.' and 'Decisions were shared - there was a complex patient and the decisions needed to be made early. The dialogue between the team was open.' Feedback on the session format included: 'I enjoy the stories shared during The Well session and I pay more attention to what is going on around me during the list so I can contribute more to the discussion.' 'The Well feels purposeful and it shows a level of appreciation that was not captured by the usual "thank you for your help today".' Discussion The Well has been well received and feedback shows that the appreciative inquiry methodology has helped to create and deepen connections between team members. We hope by sharing the stories of what has gone well we can encourage these behaviours to happen more often and flourish within our workplace. (Figure Presented).