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Samar Al Emadi,1 Nawal Nouman Hadwan,1 Rawan Saleh,1 Eman Satti,1 Rajvir Singh2 1Department of Rheumatology, Hamad Medical Corporation, Doha, Qatar; 2Medical Research Center, Statistics, Hamad Medical Corporation, Doha, QatarCorrespondence: Samar Al Emadi, Department of Rheumatology, Hamad General Hospital, PO Box 3050, Doha, Qatar, Tel +974 55550087, Email salemadi@hamad.qaIntroduction: Spondyloarthritis (SpA) most commonly presents at childbearing age; thus, pregnancy is of concern. However, data on pregnancy outcomes in these patients are limited.Purpose: This study aimed to retrospectively describe pregnancy outcomes in patients with SpA from the Middle East.Patients and Methods: We reviewed the electronic health records of all pregnant women attending a specialized pregnancy and rheumatic disease clinic between 2016 and 2022. All pregnant patients diagnosed with axial spondyloarthritis (axSpA) and peripheral SpA were included. Data on adverse maternal and fetal outcomes were collected.Results: Fifty-seven eligible pregnancies were identified from hospital records: 10 pregnancies ended in early miscarriage. Forty-seven pregnancies resulted in live singleton births, 25 in patients with peripheral SpA and 22 with axSpA. Human leukocyte antigen B27 was positive in 7 (15%) patients and only in women with axSpA. Twenty-nine (64%) patients received treatment throughout pregnancy. Consistent biologic disease-modifying antirheumatic drug (bDMARD) use was high, in eight (32%) patients with peripheral SpA and in nine (41%) with axSpA. A conventional synthetic disease-modifying anti-rheumatic drug (csDMARD) was used as treatment in 11 (50%) patients with peripheral SpA and two (8%) with axSpA. Twenty-two (53%) neonates were delivered by cesarean section, 19 (40%) by normal vaginal delivery and three (6%) by assisted delivery. Additionally, 44 (94%) deliveries were at term, and 42 (91%) neonates had a normal birth weight. Exploration of a subgroup showed no difference in reported outcomes between patients treated with bDMARD and those treated with csDMARD.Conclusion: This descriptive study reports a high rate of favorable pregnancy outcomes in patients with SpA. There was no evidence to suggest a difference in pregnancy outcomes between women with axSpA and those with peripheral SpA. This study was one of the first reports from the Middle East. Further studies with larger sample size are warranted.Keywords: axial spondyloarthritis, pregnancy, pregnancy outcomes, neonatal health, maternal health

We present comprehensive guidelines for osteoporosis management in Qatar. Formulated by the Qatar Osteoporosis Association, the guidelines recommend the age-dependent Qatar fracture risk assessment tool for screening, emphasizing risk-based treatment strategies and discouraging routine dual-energy X-ray scans. They offer a vital resource for physicians managing osteoporosis and fragility fractures nationwide., Purpose: Osteoporosis and related fragility fractures are a growing public health issue with an impact on individuals and the healthcare system. We aimed to present guidelines providing unified guidance to all healthcare professionals in Qatar regarding the management of osteoporosis., Methods: The Qatar Osteoporosis Association formulated guidelines for the diagnosis and management of osteoporosis in postmenopausal women and men above the age of 50. A panel of six local rheumatologists who are experts in the field of osteoporosis met together and conducted an extensive review of published articles and local and international guidelines to formulate guidance for the screening and management of postmenopausal women and men older than 50 years in Qatar., Results: The guidelines emphasize the use of the age-dependent hybrid model of the Qatar fracture risk assessment tool for screening osteoporosis and risk categorization. The guidelines include screening, risk stratification, investigations, treatment, and monitoring of patients with osteoporosis. The use of a dual-energy X-ray absorptiometry scan without any risk factors is discouraged. Treatment options are recommended based on risk stratification., Conclusion: Guidance is provided to all physicians across the country who are involved in the care of patients with osteoporosis and fragility fractures., (© 2024. The Author(s).)

Background: Though biologic agents have significantly improved the treatment of inflammatory arthritis (rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis), high costs, stringent regulations, strict reimbursement criteria, and existing patents have limited patient access to treatments. While being highly similar in quality, safety, and efficacy to biologic reference products, biosimilars can reduce the financial burden and prevent underutilization of medication., Objective: The objective of this initiative was to develop an evidence-based consensus of overarching principles and recommendations aimed at standardizing the use of biosimilars in treating inflammatory arthritis in the Gulf region., Methods: A task force of practicing rheumatologists, a clinical pharmacist, a health economist, patients, regulators, and payors from across the Gulf region developed recommendations and overarching principles based on the outputs of a systematic literature review conducted to address Patient-Intervention-Comparison-Outcome (PICO) questions specific to key challenges regarding the use of biosimilars for the treatment of inflammatory arthritis in the region. As the data before 2017 have been previously reviewed in another publication, the current review focused on data published between January 2017 and August 2022 (PROSPERO ID CRD42022364002). Consensus on each statement required a level of agreement of 70% or greater., Results: Consensus was reached for five overarching principles and nine recommendations by the task force. The principles emphasize the importance of improving the awareness, understanding, and perception of biosimilars, as well as the need for regulated regional real-world data generation and protocols to make biosimilars a viable and affordable treatment option for all patients. The consensus recommendations advocate the need for shared treatment decisions between rheumatologists and patients when considering biosimilars. They further recommend that confirmation of a biosimilar's efficacy and safety in a single indication is sufficient for extrapolation to other diseases for which the reference product has been approved. Finally, there is a need for pharmacovigilance and national health policies governing the adoption and prescription of biosimilars in clinical practice across the region., Conclusions: These are the first consensus recommendations for the Gulf region based on a systematic literature review and Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines, integrating clinical evidence with clinical expertise to optimize decision making for the use of biosimilars in patients with inflammatory arthritis. They were formulated based on predominantly international data because of the limited regional data and therefore can be generalized to serve as recommendations for healthcare professionals in other parts of the world., (© 2024. The Author(s).)

Objective: Approximately one third of individuals worldwide have not received a COVID-19 vaccine. Although studies have investigated risk factors linked to severe COVID-19 among unvaccinated people with rheumatic diseases (RDs), we know less about whether these factors changed as the pandemic progressed. We aimed to identify risk factors associated with severe COVID-19 in unvaccinated individuals in different pandemic epochs corresponding to major variants of concern., Methods: Patients with RDs and COVID-19 were entered into the COVID-19 Global Rheumatology Alliance Registry between March 2020 and June 2022. An ordinal logistic regression model (not hospitalized, hospitalized, and death) was used with date of COVID-19 diagnosis, age, sex, race and/or ethnicity, comorbidities, RD activity, medications, and the human development index (HDI) as covariates. The main analysis included all unvaccinated patients across COVID-19 pandemic epochs; subanalyses stratified patients according to RD types., Results: Among 19,256 unvaccinated people with RDs and COVID-19, those who were older, male, had more comorbidities, used glucocorticoids, had higher disease activity, or lived in lower HDI regions had worse outcomes across epochs. For those with rheumatoid arthritis, sulfasalazine and B-cell-depleting therapy were associated with worse outcomes, and tumor necrosis factor inhibitors were associated with improved outcomes. In those with connective tissue disease or vasculitis, B-cell-depleting therapy was associated with worse outcomes., Conclusion: Risk factors for severe COVID-19 outcomes were similar throughout pandemic epochs in unvaccinated people with RDs. Ongoing efforts, including vaccination, are needed to reduce COVID-19 severity in this population, particularly in those with medical and social vulnerabilities identified in this study., (© 2023 American College of Rheumatology.)

Objective: To describe obstetric outcomes based on COVID-19 vaccination status, in women with rheumatic and musculoskeletal diseases (RMDs) who developed COVID-19 during pregnancy., Methods: Data regarding pregnant women entered into the COVID-19 Global Rheumatology Alliance registry from 24 March 2020-25 February 2022 were analysed. Obstetric outcomes were stratified by number of COVID-19 vaccine doses received prior to COVID-19 infection in pregnancy. Descriptive differences between groups were tested using the chi-squared or Fisher's exact test., Results: There were 73 pregnancies in 73 women with RMD and COVID-19. Overall, 24.7% (18) of pregnancies were ongoing, while of the 55 completed pregnancies, 90.9% (50) of pregnancies resulted in livebirths. At the time of COVID-19 diagnosis, 60.3% (n = 44) of women were unvaccinated, 4.1% (n = 3) had received one vaccine dose while 35.6% (n = 26) had two or more doses. Although 83.6% (n = 61) of women required no treatment for COVID-19, 20.5% (n = 15) required hospital admission. COVID-19 resulted in delivery in 6.8% (n = 3) of unvaccinated women and 3.8% (n = 1) of fully vaccinated women. There was a greater number of preterm births (PTB) in unvaccinated women compared with fully vaccinated 29.5% (n = 13) vs 18.2% (n = 2)., Conclusions: In this descriptive study, unvaccinated pregnant women with RMD and COVID-19 had a greater number of PTB compared with those fully vaccinated against COVID-19. Additionally, the need for COVID-19 pharmacological treatment was uncommon in pregnant women with RMD regardless of vaccination status. These results support active promotion of COVID-19 vaccination in women with RMD who are pregnant or planning a pregnancy., (© The Author(s) 2022. Published by Oxford University Press on behalf of the British Society for Rheumatology.)

Objective: Some patients with rheumatic diseases might be at higher risk for coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS). We aimed to develop a prediction model for COVID-19 ARDS in this population and to create a simple risk score calculator for use in clinical settings., Methods: Data were derived from the COVID-19 Global Rheumatology Alliance Registry from March 24, 2020, to May 12, 2021. Seven machine learning classifiers were trained on ARDS outcomes using 83 variables obtained at COVID-19 diagnosis. Predictive performance was assessed in a US test set and was validated in patients from four countries with independent registries using area under the curve (AUC), accuracy, sensitivity, and specificity. A simple risk score calculator was developed using a regression model incorporating the most influential predictors from the best performing classifier., Results: The study included 8633 patients from 74 countries, of whom 523 (6%) had ARDS. Gradient boosting had the highest mean AUC (0.78; 95% confidence interval [CI]: 0.67-0.88) and was considered the top performing classifier. Ten predictors were identified as key risk factors and were included in a regression model. The regression model that predicted ARDS with 71% (95% CI: 61%-83%) sensitivity in the test set, and with sensitivities ranging from 61% to 80% in countries with independent registries, was used to develop the risk score calculator., Conclusion: We were able to predict ARDS with good sensitivity using information readily available at COVID-19 diagnosis. The proposed risk score calculator has the potential to guide risk stratification for treatments, such as monoclonal antibodies, that have potential to reduce COVID-19 disease progression., (© 2022 The Authors. ACR Open Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)

Background: Differences in the distribution of individual-level clinical risk factors across regions do not fully explain the observed global disparities in COVID-19 outcomes. We aimed to investigate the associations between environmental and societal factors and country-level variations in mortality attributed to COVID-19 among people with rheumatic disease globally., Methods: In this observational study, we derived individual-level data on adults (aged 18-99 years) with rheumatic disease and a confirmed status of their highest COVID-19 severity level from the COVID-19 Global Rheumatology Alliance (GRA) registry, collected between March 12, 2020, and Aug 27, 2021. Environmental and societal factors were obtained from publicly available sources. The primary endpoint was mortality attributed to COVID-19. We used a multivariable logistic regression to evaluate independent associations between environmental and societal factors and death, after controlling for individual-level risk factors. We used a series of nested mixed-effects models to establish whether environmental and societal factors sufficiently explained country-level variations in death., Findings: 14 044 patients from 23 countries were included in the analyses. 10 178 (72·5%) individuals were female and 3866 (27·5%) were male, with a mean age of 54·4 years (SD 15·6). Air pollution (odds ratio 1·10 per 10 μg/m 3 [95% CI 1·01-1·17]; p=0·0105), proportion of the population aged 65 years or older (1·19 per 1% increase [1·10-1·30]; p<0·0001), and population mobility (1·03 per 1% increase in number of visits to grocery and pharmacy stores [1·02-1·05]; p<0·0001 and 1·02 per 1% increase in number of visits to workplaces [1·00-1·03]; p=0·032) were independently associated with higher odds of mortality. Number of hospital beds (0·94 per 1-unit increase per 1000 people [0·88-1·00]; p=0·046), human development index (0·65 per 0·1-unit increase [0·44-0·96]; p=0·032), government response stringency (0·83 per 10-unit increase in containment index [0·74-0·93]; p=0·0018), as well as follow-up time (0·78 per month [0·69-0·88]; p<0·0001) were independently associated with lower odds of mortality. These factors sufficiently explained country-level variations in death attributable to COVID-19 (intraclass correlation coefficient 1·2% [0·1-9·5]; p=0·14)., Interpretation: Our findings highlight the importance of environmental and societal factors as potential explanations of the observed regional disparities in COVID-19 outcomes among people with rheumatic disease and lay foundation for a new research agenda to address these disparities., Funding: American College of Rheumatology and European Alliance of Associations for Rheumatology., Competing Interests: MID reports research support from Pfizer for unrelated work. AS reports grants from a consortium of 13 companies (AbbVie, Bristol Myers Squibb, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, Merck, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB) supporting the German RABBIT register, and personal fees from lectures for AbbVie, Merck, Roche, Bristol Myers Squibb, and Pfizer, outside of the submitted work. EFM reports that the Portuguese League Against Rheumatic Diseases received support for specific activities: grants from Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal SA, Merck, Celgene, Medac, Pharmakern, the Global Alliance for Patient Access; grants and non-financial support from Pfizer; and non-financial support from Grünenthal GmbH, outside of the submitted work. KLH reports receiving speaker fees from Abbvie and grant income from Bristol Myers Squibb, UCB, and Pfizer, unrelated to this work. KLH is also supported by the National Institute for Health Research (NIHR) Manchester Biomedical Research Centre. LG reports research grants from Amgen, Galapagos, Janssen, Lilly, Pfizer, Sandoz, and Sanofi; and consulting fees from AbbVie, Amgen, Bristol Myers Squibb, Biogen, Celgene, Galapagos, Gilead, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, and UCB, all unrelated to this work. LC has not received fees or personal grants from any laboratory, but her institute works by contract for laboratories among other institutions, such as Abbvie Spain, Eisai, Gebro Pharma, Merck Sharp & Dohme España, SA Pharma, Novartis Farmaceutica, Pfizer, Roche Farma, Sanofi, Aventis, Astellas Pharma, Actelion Pharmaceuticals España, Grünenthal GmbH, and UCB Pharma. JAS has performed consultancy for AbbVie, Boehringer Ingelheim, Bristol Myers Squibb, Gilead, Inova Diagnostics, Janssen, and Optum, unrelated to this work. LW has received consulting or speaking fees from Aurinia Pharma, outside of the submitted work. MFU-G reports grant or research support from Jannsen and Pfizer, unrelated to this work. The Swedish Rheumatology Quality Register, with LL as register holder, has agreements with Abbvie, Amgen, Eli Lilly, Gilead, Novartis, Pfizer, Sanofi, Sobi, and UCB for register data analyses, unrelated to this work. CR has received consulting or speaker fees from Abbvie, Amgen, AstraZeneca, BMS, Biogen, Eli Lilly, Glenmark, GlaxoSmithKline, Merck, Mylan, and Pfizer; and grants from Biogen, Lilly, and Nordic Pharma, all unrelated to this work. MJS has received speaker fees from Abbvie, AstraZeneca, Novartis, and Pfizer. AR has received speaker fees from Janssen, Pfizer, and Novartis. GP-E reports reports personal consulting fees, speaking fees, or both from Pfizer, GlaxoSmithKline, Janssen, Sandoz, and Sanofi, outside of the submitted work. PCR reports personal consulting fees, speaking fees, or both from Abbvie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB; and travel assistance from Roche. PMM has received consulting fees, speaker fees, or both from Abbvie, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, Merck, Novartis, Pfizer, Roche, and UCB, unrelated to this work. PMM is supported by the NIHR University College London Hospitals Biomedical Research Centre. ES is a Board Member of the Canadian Arthritis Patient Alliance, a patient-run, volunteer-based organisation whose activities are largely supported by independent grants from pharmaceutical companies. JWL has received research funding from Pfizer, outside of the submitted work. JSH is supported by grants from the Rheumatology Research Foundation and has salary support from the Childhood Arthritis and Rheumatology Research Alliance. JSH has performed consulting for Novartis, Sobi, and Biogen, unrelated to this work. PS reports honorarium for doing social media for American College of Rheumatology journals. RG reports personal fees, speaking fees, or both from Abbvie, Janssen, Novartis, Pfizer, and Cornerstones; and travel assistance from Pfizer. SB reports non-branded consulting fees for AbbVie, Horizon, and Novartis; and is employed by Pfizer. ZSW reports grant support from Bristol Myers Squibb and Principia–Sanofi; and performed consultancy for Viela Bio and MedPace, outside of the submitted work. ZSW's work is supported by grants from the National Institutes of Health. JY has performed consulting for Eli Lilly, Pfizer, Aurinia, and AstraZeneca, outside of the submitted work. All other authors declare no competing interests., (Published by Elsevier Ltd.)

Aim: To determine characteristics associated with more severe outcomes in a global registry of people with systemic lupus erythematosus (SLE) and COVID-19., Methods: People with SLE and COVID-19 reported in the COVID-19 Global Rheumatology Alliance registry from March 2020 to June 2021 were included. The ordinal outcome was defined as: (1) not hospitalised, (2) hospitalised with no oxygenation, (3) hospitalised with any ventilation or oxygenation and (4) death. A multivariable ordinal logistic regression model was constructed to assess the relationship between COVID-19 severity and demographic characteristics, comorbidities, medications and disease activity., Results: A total of 1606 people with SLE were included. In the multivariable model, older age (OR 1.03, 95% CI 1.02 to 1.04), male sex (1.50, 1.01 to 2.23), prednisone dose (1-5 mg/day 1.86, 1.20 to 2.66, 6-9 mg/day 2.47, 1.24 to 4.86 and ≥10 mg/day 1.95, 1.27 to 2.99), no current treatment (1.80, 1.17 to 2.75), comorbidities (eg, kidney disease 3.51, 2.42 to 5.09, cardiovascular disease/hypertension 1.69, 1.25 to 2.29) and moderate or high SLE disease activity (vs remission; 1.61, 1.02 to 2.54 and 3.94, 2.11 to 7.34, respectively) were associated with more severe outcomes. In age-adjusted and sex-adjusted models, mycophenolate, rituximab and cyclophosphamide were associated with worse outcomes compared with hydroxychloroquine; outcomes were more favourable with methotrexate and belimumab., Conclusions: More severe COVID-19 outcomes in individuals with SLE are largely driven by demographic factors, comorbidities and untreated or active SLE. Patients using glucocorticoids also experienced more severe outcomes., Competing Interests: Competing interests: MFU-G has received research grants from Pfizer and Janssen, not related to this manuscript. AD-G is supported by the Rheumatology Research Foundation (Scientist Development Award) and the Centers for Disease Control and Prevention. CR-S has received research grants from Janssen, not related to this manuscript. AEC has received consulting fees from AstraZeneca, BMS and GSK, all unrelated to this manuscript. LW has received consulting fees and speaker’s honoraria from Aurinia Pharma unrelated to this manuscript. GJP-E reports no competing interests related to this work. Outside of this work, he reports personal consulting and/or speaking fees from Pfizer, GSK, Janssen and Sanofi (all

Objective The effectiveness and safety of SARS-CoV-2 vaccines in patients with autoimmune rheumatic diseases (ARDs) treated with immunomodulators remain uncertain. Therefore, this study aimed to evaluate whether the humoral immune response to the BNT162b2 vaccine differs between patients without and with ARDs treated with immunomodulators. Methods We retrospectively reviewed 3208 electronic medical records from the database of the Hamad Medical Corporation (HMC) outpatient rheumatology clinics to capture patients with ARDs and control patients without autoimmune inflammatory diseases. All patients who were SARS-CoV-2 infection-naïve, had received two doses of BNT162b2 vaccination, and had been serologically tested using Elecsys® anti-SARS-CoV-2 S immunoassays (Roche Holdings AG, Basel, Switzerland), were included in the analysis. Patients with ARD were classified into six subgroups according to the received ARD immunomodulators: methotrexate monotherapy (MTXM), a combination of conventional synthetic disease-modifying antirheumatic drugs (Cs-DMARDs), tumor necrosis factor inhibitor (TNF-i), rituximab, interleukin-6 inhibitor (IL6-i), and Janus kinase inhibitor (JAK-i). Samples with an anti-SARS-CoV-2 S titer of <0.8 and <132 binding antibody unit (BAU)/mL were defined as negative and poor seroconversion, respectively. The overall mean of anti-SARS-CoV-2 S titer and its level at <0.8 and <132 were compared between the six subgroups of patients with ARD and the controls by performing an unpaired  t -test and Chi-squared or Fisher's exact test as appropriate. Results The mean (SD) age of 110 patients with ARDs and 20 controls was 47.1 (12) and 59.3 (8.9) years (P < 0.001), respectively, and women predominated both groups (60% vs .  75%, P = 0.20). The most frequently prescribed Cs-DMARDs was methotrexate in 50 (45.5%) patients, followed by TNF-i in 46 (41.8%), rituximab in 20 (18.2%), JAK-i in 12 (10.9%), and IL6-i in 7 (6.4%) patients. The mean (SD) anti-SARS-CoV-2 S antibody titer of only the rituximab subgroup significantly differed from the controls (P = 0.012). Conclusion The most prevalent ARD immunomodulators (Cs-DMARDs, TNF-i, JAK-i, and IL6-i) were associated with comparable seroconversion rates to the BNT162b2 vaccine. In comparison, rituximab was significantly associated with decreased immunogenicity., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Alsaed et al.)

Objective: Pregnant women with autoimmune rheumatic diseases are considered to have a high risk of obstetric complications with the emergence of the Coronavirus disease (COVID-19) pandemic. Therefore, we aimed to assess the impact of COVID-19 on this high-risk group., Methods: This cross-sectional cohort study (March to December 2020) was conducted at the largest tertiary center in Qatar (Hamad Medical Corporation). Eighty consecutive patients following up at the center during pregnancy were surveyed through telephonic interviews. Data on COVID-19 and pregnancy outcomes were extracted from electronic hospital records., Results: Eighty pregnant women with autoimmune rheumatic diseases were included. Among them, 17 (21.3%) (95% confidence interval [CI]: 12.9-31.8%) were diagnosed with COVID-19, five were hospitalized, and only one required intensive care unit admission. The proportion of adverse obstetric outcomes in the cohort was 29.5% (n = 23; 95% CI: 19.7-40.9%). Prematurity (n = 14; 19.4%) and caesarean section (n = 30; 41.1%) were the most prevalent adverse events. There was no statistical difference in adverse pregnancy outcomes between women with and without COVID-19., Conclusion: COVID-19 did not affect pregnancy outcomes in women with autoimmune rheumatic diseases., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2022, Satti et al.)

Background: Severe COVID-19 is thought to be caused by immune overdrive and cytokine storm. One of the cytokine storm syndromes frequently induced by infections is secondary hemophagocytic lymphohistiocytosis (HLH) which can be assessed using H-score. In this study, we aimed to evaluate the rate of patients with COVID-19 who meet HLH criteria based on H-score and the association of H-score with poor outcomes., Methods: In a prospective cohort study of 19 patients with COVID-19 requiring ICU stay from March to May, 2020, we collected demographic and clinical data that focused on H-score's variables and COVID-19 outcomes. H-score ≥ 169 was used to determine the percentage of patients who met the HLH criteria. Mann-Whitney, Kruskal-Wallis, and Spearman rho tests and multiple regression analyses were carried out to evaluate the associated factors. The optimal H-score cut-off to predict poor COVID-19 outcome (need for intubation ± ECMO) was determined using receiver operating characteristic (ROC) analysis., Results: In 669 patients with severe COVID-19 with a mean ± SD age of 50.3  ±  12.8 years, which comprised 95% men; 66% required intubation, 4% ECMO, and 16% died. Only 2% had an H-score ≥ 169. Patients with poor outcomes had a higher mean (SD) H-score than those without; intubation (96.0 [50.0] vs 75.0 [35.0], p < 0.01), ECMO (113.0 [25.0] vs 93.0 [50.0], p < 0.01) and death (98.0 [62.0] vs 93.0 [48.0], p < 0.01). Factors associated with H-score were diabetes (β coeff = - 10.4, p < 0.01), abdominal pain (β coeff = 19.1, p < 0.01), duration of COVID-19 symptoms (β coeff = - 0.7, p = 0.049), and days before ICU admission (β coeff = - 1.2, p = 0.01). H-score showed a fair ability to discriminate COVID-19 outcomes (AUC 0.61, 95% CI 0.54-0.67). An H-score of 85 was the optimal cut-off with a sensitivity 69% and 1-specificity 53%., Conclusion: Despite its association with severity in COVID-19, H-score's ability to predict poor outcomes was only fair, indicating differences in the cytokine storm faced in COVID-19 compared with that during secondary HLH., (© 2022 Alam, Becetti, Alamlih, Cackamvalli, Veettil, Awadh, Ibrahim, Al Emadi, licensee HBKU Press.)

Objective: While COVID-19 vaccination prevents severe infections, poor immunogenicity in immunocompromised people threatens vaccine effectiveness. We analysed the clinical characteristics of patients with rheumatic disease who developed breakthrough COVID-19 after vaccination against SARS-CoV-2., Methods: We included people partially or fully vaccinated against SARS-CoV-2 who developed COVID-19 between 5 January and 30 September 2021 and were reported to the Global Rheumatology Alliance registry. Breakthrough infections were defined as occurring ≥14 days after completion of the vaccination series, specifically 14 days after the second dose in a two-dose series or 14 days after a single-dose vaccine. We analysed patients' demographic and clinical characteristics and COVID-19 symptoms and outcomes., Results: SARS-CoV-2 infection was reported in 197 partially or fully vaccinated people with rheumatic disease (mean age 54 years, 77% female, 56% white). The majority (n=140/197, 71%) received messenger RNA vaccines. Among the fully vaccinated (n=87), infection occurred a mean of 112 (±60) days after the second vaccine dose. Among those fully vaccinated and hospitalised (n=22, age range 36-83 years), nine had used B cell-depleting therapy (BCDT), with six as monotherapy, at the time of vaccination. Three were on mycophenolate. The majority (n=14/22, 64%) were not taking systemic glucocorticoids. Eight patients had pre-existing lung disease and five patients died., Conclusion: More than half of fully vaccinated individuals with breakthrough infections requiring hospitalisation were on BCDT or mycophenolate. Further risk mitigation strategies are likely needed to protect this selected high-risk population., Competing Interests: Competing interests: KLH reports she has received non-personal speaker’s fees from AbbVie and grant income from BMS, UCB and Pfizer, all unrelated to this manuscript; KLH is supported by the NIHR Manchester Biomedical Research Centre. LG reports personal consultant fees from AbbVie, Amgen, BMS, Biogen, Celgene, Gilead, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis and UCB, and grants from Amgen, Lilly, Janssen, Pfizer, Sandoz, Sanofi and Galapagos, all unrelated to this manuscript. AS reports research grants from a consortium of 14 companies (among them AbbVie, BMS, Celltrion, Fresenius Kabi, Gilead/Galapagos, Lilly, Mylan/Viatris, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis and UCB) supporting the German RABBIT register and personal fees from lectures for AbbVie, MSD, Roche, BMS, Lilly and Pfizer, all unrelated to this manuscript. LC has not received fees or personal grants from any laboratory, but her institute works by contract for laboratories among other institutions, such as AbbVie Spain, Eisai, Gebro Pharma, Merck Sharp & Dohme España, Novartis Farmaceutica, Pfizer, Roche Farma, Sanofi-Aventis, Astellas Pharma, Actelion Pharmaceuticals España, Grünenthal and UCB Pharma. EF-M reports personal consultant fees from Boehringer Ingelheim Portugal and that LPCDR received support for specific activities: grants from AbbVie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal, MSD, Celgene, Medac, Pharmakern and GAfPA; grants and non-financial support from Pfizer; and non-financial support from Grünenthal, outside the submitted work. IB reports personal consultant fees from AbbVie, Novartis, Pfizer and Janssen, all unrelated to this manuscript. JZ reports speaker fees from AbbVie, Novartis and Janssen/Johnson & Johnson, all unrelated to this manuscript. GR-C reports personal consultant fees from Eli Lilly and Novartis, all unrelated to this manuscript. JS is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers: R01 AR077607, P30 AR070253 and P30 AR072577), and the R Bruce and Joan M Mickey Research Scholar Fund. JS has received research support from Amgen and Bristol Myers Squibb and performed consultancy for Bristol Myers Squibb, Gilead, Inova, Janssen and Optum, unrelated to this work. LW receives speaker’s bureau fees from Aurinia Pharma, unrelated to this manuscript. SB reports no competing interests related to this work. He reports non-branded consulting fees for AbbVie, Horizon and Novartis (all <$10 000). MGM has no competing interests related to this work. She serves as a patient consultant for BMS, BI JNJ and Aurinia (all <$10 000). RG reports no competing interests related to this work. Outside of this work she reports personal and/or speaking fees from AbbVie, Janssen, Novartis, Pfizer and Cornerstones and travel assistance from Pfizer (all <$10 000). JH reports no competing interests related to this work. He is supported by grants from the Rheumatology Research Foundation and has salary support from the Childhood Arthritis and Rheumatology Research Alliance. He has performed consulting for Novartis, Sobi and Biogen, all unrelated to this work (<$10 000). ESi reports non-financial support from Canadian Arthritis Patient Alliance, outside the submitted work. PS reports personal fees from the American College of Rheumatology/Wiley Publishing, outside the submitted work. ZW reports grant support from Bristol Myers Squibb and Principia/Sanofi and performed consultancy for Viela Bio and MedPace, outside the submitted work. His work is supported by grants from the National Institutes of Health. PMM has received consulting/speaker’s fees from AbbVie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this study. PMM is supported by the National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC). PCR reports no competing interests related to this work. Outside of this work PCR reports personal fees from AbbVie, Atom Bioscience, Eli Lilly, Gilead, GlaxoSmithKline, Janssen, Kukdong, Novartis, UCB, Roche and Pfizer; meeting attendance support from BMS, Pfizer and UCB; and grant funding from Janssen, Novartis, Pfizer and UCB Pharma (all <$10 000). JY reports no competing interests related to this work. Her work is supported by grants from the National Institutes of Health (K24 AR074534 and P30 AR070155). Outside of this work, she has received research grants or performed consulting for Gilead, BMS Foundation, Pfizer, Aurinia and AstraZeneca., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Hip fracture data were retrieved from electronical medical records for the years 2017-2019 in the State of Qatar and used to create a FRAX® model to facilitate fracture risk assessment. Hip fracture rates were comparable with estimates from Saudi Arabia, Abu Dhabi, and Kuwait but fracture probabilities varied due to differences in mortality., Objective: This paper describes the epidemiology of osteoporotic fractures in the State of Qatar that was used to develop the country-specific fracture prediction FRAX® tool., Methods: Hip fracture data were retrieved from electronic medical records for the years 2017-2019 in the State of Qatar. The age and sex specific incidence of hip fracture in Qatari residents and national mortality rates were used to create a FRAX® model. Fracture probabilities were compared with those from neighboring countries having FRAX models., Results: Hip fracture rates were comparable with estimates from Saudi Arabia, Abu Dhabi and Kuwait. In contrast, probabilities of a major osteoporotic fracture or hip fracture were lower in Qatar than in Kuwait but higher than those in Abu Dhabi and Saudi Arabia due to differences in mortality., Conclusion: The FRAX model should enhance accuracy of determining fracture probability among the Qatari population and help guide decisions about treatment., (© 2022. The Author(s).)

To develop Best Practice Guidelines (BPG) for the use of Telehealth in Rheumatology in the Arab region, to identify the main barriers and facilitators of telehealth, and to provide rheumatologists with a practical toolkit for the implementation of telehealth. Guidelines were drafted by a core steering committee from the Arab League of Associations for Rheumatology (ArLAR) after performing a literature search. A multidisciplinary task force (TF), including 18 rheumatologists, 2 patients, and 2 regulators from 15 Arab countries, assessed the BPG using 3 rounds of anonymous online voting by modified Delphi process. The statements were included in the final BPG without further voting if ≥ 80% of TF members indicated high agreement. The voting on barriers and facilitators was performed through one voting round. The toolkit was developed based on available literature and discussions during the Delphi rounds. Four General Principles and twelve Statements were formulated. A teleconsultation was specifically defined for the purpose of these guidelines. The concept of choice in telehealth was highlighted, emphasizing patient confidentiality, medical information security, rheumatologist's clinical judgment, and local jurisdictional regulations. The top barrier for telehealth was the concern about the quality of care. The toolkit emphasized technical aspects of teleconsultation and proposed a triage system. The ArLAR BPG provide rheumatologists with a series of strategies about the most reliable, productive, and rational approaches to apply telehealth., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Objective: To describe coronavirus disease 2019 (COVID-19) and pregnancy outcomes in patients with rheumatic disease who were pregnant at the time of infection., Methods: Since March 2020, the COVID-19 Global Rheumatology Alliance has collected cases of patients with rheumatic disease with COVID-19. We report details of pregnant women at the time of COVID-19 infection, including obstetric details separately ascertained from providers., Results: We report on 39 patients, including 22 with obstetric detail available. The mean and median age was 33 years, range 24-45 years. Rheumatic disease diagnoses included rheumatoid arthritis (n = 9), systemic lupus erythematosus (n = 9), psoriatic arthritis/other inflammatory arthritides (n = 8), and antiphospholipid syndrome (n = 6). Most had a term birth (16/22), with 3 preterm births, 1 termination, and 1 miscarriage; 1 woman had yet to deliver at the time of report. One-quarter (n = 10/39) of pregnant women were hospitalized following COVID-19 diagnosis. Two of 39 (5%) required supplemental oxygen (both hospitalized); no patients died. The majority did not receive specific medication treatment for their COVID-19 (n = 32/39, 82%), and 7 patients received some combination of antimalarials, colchicine, anti-interleukin 1β, azithromycin, glucocorticoids, and lopinavir/ritonavir., Conclusion: Women with rheumatic diseases who were pregnant at the time of COVID-19 had favorable outcomes. These data have limitations due to the small size and methodology; however, they provide cautious optimism for pregnancy outcomes for women with rheumatic disease particularly in comparison to the increased risk of poor outcomes that have been reported in other series of pregnant women with COVID-19., (© 2022 The Journal of Rheumatology.)

Background: Patients with primary systemic vasculitis or polymyalgia rheumatica might be at a high risk for poor COVID-19 outcomes due to the treatments used, the potential organ damage cause by primary systemic vasculitis, and the demographic factors associated with these conditions. We therefore aimed to investigate factors associated with COVID-19 outcomes in patients with primary systemic vasculitis or polymyalgia rheumatica., Methods: In this retrospective cohort study, adult patients (aged ≥18 years) diagnosed with COVID-19 between March 12, 2020, and April 12, 2021, who had a history of primary systemic vasculitis (antineutrophil cytoplasmic antibody [ANCA]-associated vasculitis, giant cell arteritis, Behçet's syndrome, or other vasculitis) or polymyalgia rheumatica, and were reported to the COVID-19 Global Rheumatology Alliance registry were included. To assess COVID-19 outcomes in patients, we used an ordinal COVID-19 severity scale, defined as: (1) no hospitalisation; (2) hospitalisation without supplemental oxygen; (3) hospitalisation with any supplemental oxygen or ventilation; or (4) death. Multivariable ordinal logistic regression analyses were used to estimate odds ratios (ORs), adjusting for age, sex, time period, number of comorbidities, smoking status, obesity, glucocorticoid use, disease activity, region, and medication category. Analyses were also stratified by type of rheumatic disease., Findings: Of 1202 eligible patients identified in the registry, 733 (61·0%) were women and 469 (39·0%) were men, and their mean age was 63·8 years (SD 17·1). A total of 374 (31·1%) patients had polymyalgia rheumatica, 353 (29·4%) had ANCA-associated vasculitis, 183 (15·2%) had giant cell arteritis, 112 (9·3%) had Behçet's syndrome, and 180 (15·0%) had other vasculitis. Of 1020 (84·9%) patients with outcome data, 512 (50·2%) were not hospitalised, 114 (11·2%) were hospitalised and did not receive supplemental oxygen, 239 (23·4%) were hospitalised and received ventilation or supplemental oxygen, and 155 (15·2%) died. A higher odds of poor COVID-19 outcomes were observed in patients who were older (per each additional decade of life OR 1·44 [95% CI 1·31-1·57]), were male compared with female (1·38 [1·05-1·80]), had more comorbidities (per each additional comorbidity 1·39 [1·23-1·58]), were taking 10 mg/day or more of prednisolone compared with none (2·14 [1·50-3·04]), or had moderate, or high or severe disease activity compared with those who had disease remission or low disease activity (2·12 [1·49-3·02]). Risk factors varied among different disease subtypes., Interpretation: Among patients with primary systemic vasculitis and polymyalgia rheumatica, severe COVID-19 outcomes were associated with variable and largely unmodifiable risk factors, such as age, sex, and number of comorbidities, as well as treatments, including high-dose glucocorticoids. Our results could be used to inform mitigation strategies for patients with these diseases., Funding: American College of Rheumatology and the European Alliance of Associations for Rheumatology., Competing Interests: SES reports funding from a Vasculitis Clinical Research Consortium (VCRC)–Vasculitis Foundation Fellowship (the VCRC is part of the Rare Diseases Clinical Research Network, an initiative of the Office of Rare Diseases Research, National Center for Advancing Translational Science [NCATS], and is funded by a collaboration between NCATS and the National Institute of Arthritis and Musculoskeletal and Skin Diseases [NIAMS; U54 AR057319]). RC reports speaker's fees from Janssen, Roche, Sanofi, and Abbvie outside the submitted work. CH received funding under a sponsored research agreement from Vifor Pharmaceuticals, outside the submitted work. SLM has received consulting fees from AbbVie; consulting fees from AstraZeneca; other from Roche-Chugai; consulting fees from Sanofi; and non-financial support from Roche, all outside the submitted work; and is a patron of the patient charity PMRGCAuk. PM is a Medical Research Council-GlaxoSmithKline (MRC-GSK) EMINENT clinical training fellow, who has received project funding from this organisation, outside the submitted work; has received funding from the National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre (UCLH BRC); reports grants from MRC-GSK; reports personal fees from Swedish Orphan Biovitrum and Lilly; and reports consultancy fees from Abbvie and Pfizer, all outside the submitted work. LN reports being a trustee of the charity PMR-GRA Scotland. JSA reports grants from the National Institute of Health (NIH) and NIAMS, the Rheumatology Research Foundation, the Brigham Research Institute, the R Bruce and Joan M Mickey Research Scholar Fund, and Amgen; grants and personal fees from Bristol-Myers Squibb; and personal fees from Gilead, Inova, Janssen, Optum, and Pfizer, all outside the submitted work. AD-G is supported by the US Centers for Disease Control and Prevention, the Rheumatology Research Foundation Scientist Development Award, the Robert D and Patricia E Kern Center for the Science of Health Care Delivery, and the Women's Health Career Enhancement Award outside the submitted work. KLH reports receiving speaker's fees from Abbvie; grant income from Bristol-Myers Squibb, UCB Pharma, and Pfizer, all outside the submitted work; and is supported by the NIHR Manchester Biomedical Research Centre outside the submitted work. RG reports non-financial support from Pfizer Australia and Janssen Australia; and personal fees from Pfizer Australia, Cornerstones, Janssen New Zealand, and Novartis, all outside the submitted work. UM-L is supported by grants from the German Ministry of Research and Education and the German Research Foundation outside the submitted work. MAG reports funding from the NIH and the NIAMS. PCR reports personal fees from Abbvie and Gilead; grants and personal fees from Janssen, Novartis, UCB Pharma, and Pfizer; non-financial support from Bristol-Myers Squibb and Pfizer; and personal fees from Lilly and Roche, all outside the submitted work. JY reports no competing interests related to this work; is supported by grants from NIH (K24 AR074534 and P30 AR070155); and reports consulting fees from Eli Lilly, Pfizer, Aurinia, and AstraZeneca, all outside the submitted work. PMM has received consulting or speaker's fees from Abbvie, Bristol-Myers Squibb, Celgene, Eli Lilly, Galapagos, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, Roche, and UCB Pharma, all outside the submitted work (all <$10 000); and is supported by the NIHR UCLH BRC outside the submitted work. ES is a board member of the Canadian Arthritis Patient Alliance, which is a patient-run, volunteer-based organisation, whose activities are largely supported by independent grants from pharmaceutical companies. JWL reports grants from Pfizer, outside the submitted work. JSH reports no competing interests related to this work; is supported by grants from the Rheumatology Research Foundation; receives salary support from the Childhood Arthritis and Rheumatology Research Alliance; and reports consulting fees for Novartis, Swedish Orphan Biovitrum, and Biogen, all outside the submitted work (<$10 000). PS reports no competing interests related to this work, but reports receiving honorarium for editing social media for the American College of Rheumatology journals (<$10 000). SBh reports receiving non-branded consulting fees from AbbVie, Amgen, Horizon, Novartis, and Pfizer (<$10 000 from each)outside the submitted work. ZSW reports receiving grant support from Bristol-Myers Squibb and Principia-Sanofi; has consulted for Viela Bio and MedPace; and is supported by grants from the National Institutes of Health, all outside the submitted work. AS reports personal fees for lectures from AbbVie, Celltrion, Lilly, Merck Sharp & Dohme, Roche, Bristol-Myers Squibb, and Pfizer outside the submitted work. EFM has received grants from Abbvie, Novartis, Lilly Portugal, Amgen Biofarmacêutica, Grünenthal SA, Merck Sharp & Dohme, Medac, and A Menarini Portugal-Farmacêutica SA; grants and non-financial support from Pfizer; and non-financial support from Grünenthal, all outside the submitted work. LG reports research grants from Amgen, Galapagos, Janssen, Lilly, Pfizer, Sandoz, and Sanofi; consulting fees from AbbVie, Amgen, Bristol-Myers Squibb, Biogen, Celgene, Galapagos, Gilead, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, and UCB Pharma, all outside the submitted work. LC declares no competing interests related to this study, but her institute works by contract for laboratories among other institutions, such as Abbvie Spain, Eisai, Gebro Pharma, Merck Sharp & Dohme España SA, Novartis Farmaceutica, Pfizer, Roche Farma, Sanofi Aventis, Astellas Pharma, Actelion Pharmaceuticals España, Grünenthal, and UCB Pharma. NJP reports grants from NIH during the conduct of the study. MU-G reports grants from Pfizer and Janssen, outside the submitted work. SBa reports grants and personal fees from Alexion Pharma, outside the submitted work. RV reports grants from Novartis, Pfizer, and Bristol-Myers Squibb, outside the submitted work. All other authors declare no competing interests., (© 2021 Elsevier Ltd. All rights reserved.)

Purpose: The purpose of this study was to evaluate the utility of corneal confocal microscopy (CCM) in identifying small nerve fiber damage and immune cell activation in patients with systemic lupus erythematosus (SLE)., Methods: This cross-sectional comparative study included 39 consecutive patients with SLE and 30 healthy control participants. Central corneal sensitivity was assessed using a Cochet-Bonnet contact corneal esthesiometer and a laser scanning CCM (Heidelberg, Germany) was used to quantify corneal nerve fiber density (CNFD), nerve branch density (CNBD), nerve fiber length (CNFL), and Langerhans cell (LC) density., Results: Age was comparable among patients with SLE (33.7 ± 12.7) and controls (35.0 ± 13.7 years, P = 0.670) and the median duration of disease was 3.0 years (2.0-10.0 years). CNBD (P = 0.003) and CNFL (P = 0.019) were lower and mature LC density (P = 0.002) was higher, but corneal sensitivity (P = 0.178) and CNFD (P = 0.198) were comparable in patients with SLE compared with controls. The SELENA-SLEDAI score correlated with CNFD (ρ = -0.319, P = 0.048) and CNFL (ρ = -0.373, P = 0.019), and the total and immature LC densities correlated with CNBD (ρ = -0.319. P = 0.048, and ρ = -0.328, P = 0.041, respectively). Immature LC density was higher (P = 0.025), but corneal sensitivity and nerve fiber parameters were comparable between patients with (33%) and without neuropsychiatric symptoms and SLE., Conclusions: Corneal confocal microscopy identifies distal corneal nerve fiber loss and increased immune cell density in patients with SLE and corneal nerve loss was associated with disease activity., Translational Relevance: Corneal confocal microscopy may enable the detection of subclinical corneal nerve loss and immune cell activation in SLE.

Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. In addition to their useful applications, an alarming concern in regard to the physical infrastructure security, safety and privacy has arisen due to the potential of their use in malicious activities. To address this problem, we propose a novel solution that automates the drone detection and identification processes using a drone's acoustic features with different deep learning algorithms. However, the lack of acoustic drone datasets hinders the ability to implement an effective solution. In this paper, we aim to fill this gap by introducing a hybrid drone acoustic dataset composed of recorded drone audio clips and artificially generated drone audio samples using a state-of-the-art deep learning technique known as the Generative Adversarial Network. Furthermore, we examine the effectiveness of using drone audio with different deep learning algorithms, namely, the Convolutional Neural Network, the Recurrent Neural Network and the Convolutional Recurrent Neural Network in drone detection and identification. Moreover, we investigate the impact of our proposed hybrid dataset in drone detection. Our findings prove the advantage of using deep learning techniques for drone detection and identification while confirming our hypothesis on the benefits of using the Generative Adversarial Networks to generate real-like drone audio clips with an aim of enhancing the detection of new and unfamiliar drones.