ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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.
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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.
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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.
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Science, technology, engineering, and mathematics (STEM) education has gained traction in Asia very quickly in response to political calls for more experts who can lead economies out of the COVID-19 pandemic. What does this book have to offer to the STEM education fraternity? A lens into how Asian economies take on and fuel STEM education and research. © 2022 selection and editorial matter, Tang Wee Teo, Aik-Ling Tan and Paul Teng;individual chapters, the contributors.
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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.
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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.
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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.
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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.
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INTRODUCTION: Effectiveness of COVID-19 control interventions relies significantly on behavioural modifications of its population. Differing adoption rates impacts subsequent COVID-19 control. Hence, positive and sustained behavioural modification is essential for disease control. We describe the adoption rates of behavioural modifications for Singapore's "circuit-breaker" (CB), the national public health response to the COVID-19 crisis, among the general population in the community. METHODS: We conducted an interrupted-time series study using retrospective secondary data. We compared the proportion of Singaporeans who reported adopting specific behaviour modifications before, during and after CB. Behaviours of interest were working from home, performing hand hygiene, using face mask in public, and avoiding crowded areas. We compared change in incidence rates for community COVID-19 cases among the general population across the same time periods. RESULTS: There was an increase in face mask usage (+46.9%, 95% confidence interval [CI] 34.9-58.8, P<0.01) and working from home (+20.4%, 95% CI 11.7-29.2, P<0.01) during CB than before CB in Singapore. Other self-reported behaviours showed no statistically significant difference. Change in daily incidence rates of community COVID-19 cases decreased from additional 0.73 daily case before CB to 0.55 fewer case per day during CB (P<0.01). There was no significant difference among all behaviour adoption rates after CB. Daily incidence of community cases continued to decrease by 0.11 case daily after CB. CONCLUSION: Community incidence of COVID-19 in Singapore decreased during CB and remained low after CB. Use of face masks and social-distancing compliance through working from home increased during CB. However, it is unlikely to influence other sources of COVID-19 such as imported cases or within foreign worker dormitories.
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Objectives Continuous positive airway pressure (CPAP) may be a useful treatment strategy for patients with severe COVID-19 pneumonia but its effectiveness in preventing mechanical ventilation is unknown. We aimed to evaluate the outcomes of COVID-19 patients treated with CPAP and determine predictors of CPAP response. Methods This was a retrospective observational cohort study which took place in the intensive care unit at Royal Papworth Hospital (RPH) in Cambridge, UK. We included all consecutive patients with confirmed COVID-19 pneumonia who were transferred from neighbouring hospitals between 14th March and 6th May, 2020 for consideration of ventilatory support. We instituted the use of CPAP for all patients who arrived in RPH not intubated and were not making satisfactory progress on supplemental oxygen alone. Results Of 33 self-ventilating patients included in this study, 22 (66.7%) were male and the mean age was 54±13. 23 patients received CPAP. They were more hypoxaemic than those treated with oxygen alone (PaO2/FiO2 ratio;84.3±19.0 vs 170.0±46.0 mmHg, p= 0.001). There was a significant improvement in PaO2/FiO2 ratio 1-2 hours after CPAP initiation (167.4±49.0 from 84.3±19.0 mmHg, p= 0.001) with no indication that CPAP augmented minute ventilation (pH actually fell from 7.48±0.04 to 7.45±0.04, p=0.000 and PaCO2 increased from 4.55±0.78 mmHg to 4.88±0.83 mmHg, p=0.001). 14 (61%) patients responded to CPAP and 9 required intubation. There was no difference between these two groups in terms of the severity of baseline hypoxaemia but CPAP responders had significantly lower C-reactive protein, interleukin-6 and D-dimer (see table 1). CT pulmonary angiogram was performed in 6 out of 9 intubated patients and demonstrated pulmonary emboli in 5 of them. All patients were discharged from ICU and there were no fatalities. Conclusions In this cohort, CPAP was an effective treatment modality to improve hypoxaemia and prevent invasive ventilation in a substantial proportion of patients with severe respiratory failure. Accepting the small sample size, we also found that raised biomarkers of inflammation (CRP and IL-6) and coagulopathy (D-Dimer) to be more useful predictors of CPAP responsiveness than the severity of hypoxaemia, and could help to guide intubation decisions in this clinical setting.
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P54 Table 1Comparison of respiratory parameters and laboratory biomarkers between continuous positive airway pressure responders and non-respondersCPAP responders (n= 14)CPAP non-responders (n= 9)P valueAge, mean±SD, years54±1254±180.89PaO2/FiO2 ratio prior to CPAP therapy, mean±SD, mmHg 84.5±16.0 83.9±23.00.94PaO2/FiO2 ratio change on CPAP therapy, mean±SD, mmHg +83.7±43.0 +82.4±40 0.95pH prior to CPAP therapy, mean±SD 7.47±0.037.49±0.040.39pH change on CPAP, mean±SD-0.02±0.02-0.04±0.030.11PaCO2 prior to CPAP therapy, mean±SD, mmHg 4.6±0.664.4±0.980.44PaCO2 change on CPAP, mean±SD, mmHg +0.23±0.4+0.51±0.420.13*Tidal Volume on CPAP, mean±SD, ml 475±179498±1860.80RR before CPAP therapy, mean±SD, minute-1 28±9 29±4 0.8 RR change on CPAP, mean±SD, minute-1 +1.6±7.0+0.9±9.10.84CRP, mean±SD, mg/L176±83274±630.01IL-6, median±IQR, pg/mL30±47139±1480.04D-dimer, median±IQR, ng/mL321±267 941±19900.001High sensitivity troponin, median±IQR, ng/L 11.0±4.29.7±34.00.57N/L ratio, median±IQR7.9±10.08.8±8.90.55Serum ferritin, mean±SD, ug/L1407±10791396±10560.9Abbreviations: CPAP= continuous positive airway pressure, SD= standard deviation, PaO2/FiO2 ratio= ratio of arterial oxygen partial pressure to fractional inspired oxygen, RR=respiratory rate, CRP= C-reactive protein, IL-6= interleukin-6, IQR= interquartile range, N/L= neutrophil/lymphocyte.*Tidal Volume was recorded following CPAP initiation in 13 CPAP responders and 6 non-responders.