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9 results on '"Lindsay, Jacobsohn"'

1. Using the technology acceptance model to assess clinician perceptions and experiences with a rheumatoid arthritis outcomes dashboard: qualitative study

Author

Catherine Nasrallah, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Mary C. Nakamura, Andrew Gross, Mehrdad Matloubian, Judith Ashouri, Jinoos Yazdany, and Gabriela Schmajuk

Subjects
Rheumatoid arthritis, Patient reported outcomes, Dashboard, Focus Group, Clinician, Perceptions, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Background Improving shared decision-making using a treat-to-target approach, including the use of clinical outcome measures, is important to providing high quality care for rheumatoid arthritis (RA). We developed an Electronic Health Record (EHR) integrated, patient-facing sidecar dashboard application that displays RA outcomes, medications, and lab results for use during clinical visits (“RA PRO dashboard”). The purpose of this study was to assess clinician perceptions and experiences using the dashboard in a university rheumatology clinic. Methods We conducted focus group (FG) discussions with clinicians who had access to the dashboard as part of a randomized, stepped-wedge pragmatic trial. FGs explored clinician perceptions towards the usability, acceptability, and usefulness of the dashboard. FG data were analyzed thematically using deductive and inductive techniques; generated themes were categorized into the domains of the Technology Acceptance Model (TAM). Results 3 FG discussions were conducted with a total of 13 clinicians. Overall, clinicians were enthusiastic about the dashboard and expressed the usefulness of visualizing RA outcome trajectories in a graphical format for motivating patients, enhancing patient understanding of their RA outcomes, and improving communication about medications. Major themes that emerged from the FG analysis as barriers to using the dashboard included inconsistent collection of RA outcomes leading to sparse data in the dashboard and concerns about explaining RA outcomes, especially to patients with fibromyalgia. Other challenges included time constraints and technical difficulties refreshing the dashboard to display real-time data. Methods for integrating the dashboard into the visit varied: some clinicians used the dashboard at the beginning of the visit as they documented RA outcomes; others used it at the end to justify changes to therapy; and a few shared it only with stable patients. Conclusions The study provides valuable insights into clinicians’ perceptions and experiences with the RA PRO dashboard. The dashboard showed promise in enhancing patient-clinician communication, shared decision-making, and overall acceptance among clinicians. Addressing challenges related to data collection, education, and tailoring dashboard use to specific patient populations will be crucial for maximizing its potential impact on RA care. Further research and ongoing improvements in dashboard design and implementation are warranted to ensure its successful integration into routine clinical practice.

Published
2024
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2. A step-by-step roadmap for the development and deployment of an electronic health record sidecar application that tracks patient outcomes: The RA PRO dashboard

Author

Gabriela Schmajuk, Catherine Nasrallah, Beth Berrean, Jonathan Prugh, Cherish Wilson, Alicia Hamblin, Cammie Young, Lindsay Jacobsohn, Julia Kay, Jing Li, Emma Kersey, Meera Subash, Sara Murray, and Jinoos Yazdany

Subjects
Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Objective Despite interest in optimizing the electronic health record (EHR) to facilitate chronic disease care for conditions like rheumatoid arthritis (RA), progress in this area has been slow. EHR sidecar applications offer one solution, but little guidance exists to facilitate their successful development, deployment, and maintenance in the healthcare setting. We aimed to provide a roadmap for how to develop and deploy an EHR sidecar application based on our experience building a new EHR-integrated, patient-facing visualization tool that displayed disease outcomes to RA patients during a clinical visit (the “RA PRO dashboard”) in a large academic health center. Methods We describe the technical design and implementation of the RA PRO dashboard; report clinic workflow adaptations to incorporate this new technology; and discuss the resources required and challenges encountered in maintaining this application. Results The RA PRO dashboard required extensive human-centered design work, regulatory approvals, software development, user testing, integration with Epic-based workflows, and maintenance. Key requirements were prioritized based on the anticipated effects on usefulness and ease of use. Implementation science strategies were used to improve use of the dashboard in clinic and included education for patients, staff, and clinicians; reports of actual use of the dashboard and data quality; and regular meetings between the research team and clinicians to discuss and address barriers to use. Conclusion Successful development and deployment of an EHR-integrated application are resource-intensive and require technical, operational, and educational innovations. The roadmap presented in this study can serve as a resource for future developers.

Published
2024
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3. Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry

Author

Zara Izadi, Milena A. Gianfrancesco, Alfredo Aguirre, Anja Strangfeld, Elsa F. Mateus, Kimme L. Hyrich, Laure Gossec, Loreto Carmona, Saskia Lawson‐Tovey, Lianne Kearsley‐Fleet, Martin Schaefer, Andrea M. Seet, Gabriela Schmajuk, Lindsay Jacobsohn, Patricia Katz, Stephanie Rush, Samar Al‐Emadi, Jeffrey A. Sparks, Tiffany Y‐T Hsu, Naomi J. Patel, Leanna Wise, Emily Gilbert, Alí Duarte‐García, Maria O. Valenzuela‐Almada, Manuel F. Ugarte‐Gil, Sandra Lúcia Euzébio Ribeiro, Adriana deOliveira Marinho, Lilian David deAzevedo Valadares, Daniela Di Giuseppe, Rebecca Hasseli, Jutta G. Richter, Alexander Pfeil, Tim Schmeiser, Carolina A. Isnardi, Alvaro A. Reyes Torres, Gelsomina Alle, Verónica Saurit, Anna Zanetti, Greta Carrara, Julien Labreuche, Thomas Barnetche, Muriel Herasse, Samira Plassart, Maria José Santos, Ana Maria Rodrigues, Philip C. Robinson, Pedro M. Machado, Emily Sirotich, Jean W. Liew, Jonathan S. Hausmann, Paul Sufka, Rebecca Grainger, Suleman Bhana, Wendy Costello, Zachary S. Wallace, Jinoos Yazdany, and Global Rheumatology Alliance Registry

Subjects
Diseases of the musculoskeletal system, RC925-935
Abstract

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.

Published
2022
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4. Factors associated with severe COVID-19 in people with idiopathic inflammatory myopathy: results from the COVID-19 Global Rheumatology Alliance physician-reported registry

Author

Carlo Alberto Scirè, Laure Gossec, Loreto Carmona, Jinoos Yazdany, Pedro M Machado, Guillermo J Pons-Estel, Christophe Richez, Marie Holmqvist, Rebecca Grainger, Jean W Liew, Emily Sirotich, Philip C Robinson, Kristin M D’Silva, Su-Ann Yeoh, Milena Gianfrancesco, Kimme L Hyrich, Lindsay Jacobsohn, Saskia Lawson-Tovey, Elsa F Mateus, Suleman Bhana, Jonathan S Hausmann, Paul Sufka, Tiffany Y-T Hsu, Arundathi Jayatilleke, Martin Schäfer, Ana Carolina de Oliveira e Silva Montandon, Paula Jordan, Samuel Katsuyuki Shinjo, Zachary Wallace, Sofía Ornella, Monique Gore-Massy, Victor R Pimentel-Quiroz, Monica Vasquez del Mercado, Edgard Torres dos Reis Neto, Laurindo Ferreira da Rocha Junior, Maria Eugenia D'Angelo Exeni, and Edson Velozo

Subjects
Medicine
Abstract

Objectives To investigate factors associated with severe COVID-19 in people with idiopathic inflammatory myopathy (IIM).Methods Demographic data, clinical characteristics and COVID-19 outcome severity of adults with IIM were obtained from the COVID-19 Global Rheumatology Alliance physician-reported registry. A 3-point ordinal COVID-19 severity scale was defined: (1) no hospitalisation, (2) hospitalisation (and no death) and (3) death. ORs were estimated using multivariable ordinal logistic regression. Sensitivity analyses were performed using a 4-point ordinal scale: (1) no hospitalisation, (2) hospitalisation with no oxygen (and no death), (3) hospitalisation with oxygen/ventilation (and no death) and 4) death.Results Of 348 patients, 48% were not hospitalised, 39% were hospitalised (and did not die) and 13% died. Older age (OR=1.59/decade, 95% CI 1.31 to 1.91), high disease activity (OR=3.50, 95% CI 1.25 to 9.83; vs remission), ≥2 comorbidities (OR=2.63, 95% CI 1.39 to 4.98; vs none), prednisolone-equivalent dose >7.5 mg/day (OR=2.40, 95% CI 1.09 to 5.28; vs no intake) and exposure to rituximab (OR=2.71, 95% CI 1.28 to 5.72; vs conventional synthetic disease-modifying antirheumatic drugs only) were independently associated with severe COVID-19. In addition to these variables, in the sensitivity analyses, male sex (OR range: 1.65–1.83; vs female) was also significantly associated with severe outcomes, while COVID-19 diagnosis after 1 October 2020 (OR range: 0.51–0.59; vs on/before 15 June 2020) was significantly associated with less severe outcomes, but these associations were not significant in the main model (OR=1.57, 95% CI 0.95 to 2.59; and OR=0.61, 95% CI 0.37 to 1.00; respectively).Conclusions This is the first large registry data on outcomes of COVID-19 in people with IIM. Older age, male sex, higher comorbidity burden, high disease activity, prednisolone-equivalent dose >7.5 mg/day and rituximab exposure were associated with severe COVID-19. These findings will enable risk stratification and inform management decisions for patients with IIM.

Published
2022
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5. SARS-CoV-2 breakthrough infections among vaccinated individuals with rheumatic disease: results from the COVID-19 Global Rheumatology Alliance provider registry

Author

Gözde Kübra Yardımcı, Laure Gossec, Loreto Carmona, Zara Izadi, Jinoos Yazdany, Pedro M Machado, Anja Strangfeld, Rebecca Grainger, Emily Sirotich, Carly Harrison, Philip C Robinson, Jean Liew, Milena Gianfrancesco, Kimme L Hyrich, Lindsay Jacobsohn, Saskia Lawson-Tovey, Stephanie Rush, Suleman Bhana, Paul Sufka, Julija Zepa, Abdurrahman Tufan, Martin Schäfer, Claire Cook, Fatemah Abutiban, Jeffrey Sparks, Leanna Wise, Zachary Wallace, Naomi J Patel, Samar Al Emadi, Inita Bulina, Christine Graver, Emily Kowalski, Jonathan Hausmann, Clairissa Ja, Elsa Frãzao-Mateus, Frances Stafford, Dfiza Dey, Genevieve Katigbak, Lauren Kaufman, Marco Ulises Martínez-Martínez, Greta Reyes-Cordero, Evelyn Salido, Ellison Smith, David Snow, and Monique Gore-Massy

Subjects
Medicine
Published
2022
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6. Association Between Race/Ethnicity and <scp>COVID</scp> ‐19 Outcomes in Systemic Lupus Erythematosus Patients From the United States: Data From the <scp>COVID</scp> ‐19 Global Rheumatology Alliance

Author

Manuel F. Ugarte‐Gil, Graciela S. Alarcón, Andrea M. Seet, Zara Izadi, Anna D. Montgomery, Alí Duarte‐García, Emily L. Gilbert, Maria O. Valenzuela‐Almada, Leanna Wise, Jeffrey A. Sparks, Tiffany Y.‐T. Hsu, Kristin M. D'Silva, Naomi J. Patel, Emily Sirotich, Jean W. Liew, Jonathan S. Hausmann, Paul Sufka, Rebecca Grainger, Suleman Bhana, Zachary Wallace, Lindsay Jacobsohn, Anja Strangfeld, Elsa F. Mateus, Kimme L. Hyrich, Laure Gossec, Loreto Carmona, Saskia Lawson‐Tovey, Lianne Kearsley‐Fleet, Martin Schaefer, Pedro M. Machado, Philip C. Robinson, Milena Gianfrancesco, and Jinoos Yazdany

Subjects
Race, Rheumatology, Ethnicity, SLE, COVID-19, Systemic Lupus Erythematosus, United States
Abstract

Objective: To determine the association between race/ethnicity and COVID-19 outcomes in individuals with systemic lupus erythematosus (SLE).Methods: Individuals with SLE from the United States with data entered into the COVID-19 Global Rheumatology Alliance (GRA) registry between 24 March 2020 and 27 August 2021 were included. Variables included age, sex, race and ethnicity (White, Black, Hispanic, other), comorbidities, disease activity, pandemic time period, glucocorticoid dose, antimalarials, and immunosuppressive drug use. The ordinal outcome categories were: not hospitalized, hospitalized with no oxygenation, hospitalized with any ventilation or oxygenation, and death. We constructed ordinal logistic regression models evaluating the relationship between race/ethnicity and COVID-19 severity, adjusting for possible confounders.Results: We included 523 patients; 486 (90.7%) were female and the mean age was 46.6 (SD: 14.0) years. Three hundred and fifty-eight (74.6%) patients were not hospitalized; 40 (8.3%) patients were hospitalized without oxygen, 64 (13.3%) patients were hospitalized with any oxygenation and 18 (3.8%) died. In a multivariable model, Black [OR=2.73 (1.36-5.53)] and Hispanic [OR=2.76 (1.34-5.69)] individuals had higher odds of more severe outcomes than White individuals. Conclusions: Black and Hispanic individuals with SLE experienced more severe COVID-19 outcomes, which is consistent with findings in the US general population. These results likely reflect socioeconomic and health disparities and suggest that more aggressive efforts are needed to prevent and treat infection in this population.

Published
2022
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7. Characteristics associated with poor COVID-19 outcomes in people with psoriasis, psoriatic arthritis and axial spondyloarthritis:data from the COVID-19 PsoProtect and Global Rheumatology Alliance physician-reported registries

Author

Pedro M Machado, Martin Schäfer, Satveer K Mahil, Jean Liew, Laure Gossec, Nick Dand, Alexander Pfeil, Anja Strangfeld, Anne Constanze Regierer, Bruno Fautrel, Carla Gimena Alonso, Carla G S Saad, Christopher E M Griffiths, Claudia Lomater, Corinne Miceli-Richard, Daniel Wendling, Deshire Alpizar Rodriguez, Dieter Wiek, Elsa F Mateus, Emily Sirotich, Enrique R Soriano, Francinne Machado Ribeiro, Felipe Omura, Frederico Rajão Martins, Helena Santos, Jonathan Dau, Jonathan N Barker, Jonathan Hausmann, Kimme L Hyrich, Lianne Gensler, Ligia Silva, Lindsay Jacobsohn, Loreto Carmona, Marcelo M Pinheiro, Marcos David Zelaya, María de los Ángeles Severina, Mark Yates, Maureen Dubreuil, Monique Gore-Massy, Nicoletta Romeo, Nigil Haroon, Paul Sufka, Rebecca Grainger, Rebecca Hasseli, Saskia Lawson-Tovey, Suleman Bhana, Thao Pham, Tor Olofsson, Wilson Bautista-Molano, Zachary S Wallace, Zenas Z N Yiu, Jinoos Yazdany, Philip C Robinson, and Catherine H Smith

Subjects
Adult, Male, Ankylosing, Aging, Clinical Sciences, Immunology, Psoriatic, Autoimmunity, Autoimmune Disease, General Biochemistry, Genetics and Molecular Biology, Rheumatology, Clinical Research, Physicians, Humans, Psoriasis, Immunology and Allergy, Registries, Glucocorticoids, Arthritis, COVID-19, Interleukin-12, Arthritis & Rheumatology, Good Health and Well Being, Public Health and Health Services, Axial Spondyloarthritis, Spondylitis
Abstract

ObjectivesTo investigate factors associated with severe COVID-19 in people with psoriasis (PsO), psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA).MethodsDemographic data, clinical characteristics and COVID-19 outcome severity of adults with PsO, PsA and axSpA were obtained from two international physician-reported registries. A three-point ordinal COVID-19 severity scale was defined: no hospitalisation, hospitalisation (and no death) and death. ORs were estimated using multivariable ordinal logistic regression.ResultsOf 5045 cases, 18.3% had PsO, 45.5% PsA and 36.3% axSpA. Most (83.6%) were not hospitalised, 14.6% were hospitalised and 1.8% died. Older age was non-linearly associated with COVID-19 severity. Male sex (OR 1.54, 95% CI 1.30 to 1.83), cardiovascular, respiratory, renal, metabolic and cancer comorbidities (ORs 1.25–2.89), moderate/high disease activity and/or glucocorticoid use (ORs 1.39–2.23, vs remission/low disease activity and no glucocorticoids) were associated with increased odds of severe COVID-19. Later pandemic time periods (ORs 0.42–0.52, vs until 15 June 2020), PsO (OR 0.49, 95% CI 0.37 to 0.65, vs PsA) and baseline exposure to TNFi, IL17i and IL-23i/IL-12+23i (OR 0.57, 95% CI 0.44 to 0.73; OR 0.62, 95% CI 0.45 to 0.87; OR 0.67, 95% CI 0.45 to 0.98; respectively; vs no disease-modifying antirheumatic drug) were associated with reduced odds of severe COVID-19.ConclusionOlder age, male sex, comorbidity burden, higher disease activity and glucocorticoid intake were associated with more severe COVID-19. Later pandemic time periods, PsO and exposure to TNFi, IL17i and IL-23i/IL-12+23i were associated with less severe COVID-19. These findings will enable risk stratification and inform management decisions for patients with PsO, PsA and axSpA during COVID-19 waves or similar future respiratory pandemics.

Published
2023
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8. Environmental and societal factors associated with COVID-19-related death in people with rheumatic disease: an observational study

Author

Zara Izadi, Milena A Gianfrancesco, Gabriela Schmajuk, Lindsay Jacobsohn, Patricia Katz, Stephanie Rush, Clairissa Ja, Tiffany Taylor, Kie Shidara, Maria I Danila, Katherine D Wysham, Anja Strangfeld, Elsa F Mateus, Kimme L Hyrich, Laure Gossec, Loreto Carmona, Saskia Lawson-Tovey, Lianne Kearsley-Fleet, Martin Schaefer, Samar Al-Emadi, Jeffrey A Sparks, Tiffany Y-T Hsu, Naomi J Patel, Leanna Wise, Emily Gilbert, Alí Duarte-García, Maria O Valenzuela-Almada, Manuel F Ugarte-Gil, Lotta Ljung, Carlo A Scirè, Greta Carrara, Eric Hachulla, Christophe Richez, Patrice Cacoub, Thierry Thomas, Maria J Santos, Miguel Bernardes, Rebecca Hasseli, Anne Regierer, Hendrik Schulze-Koops, Ulf Müller-Ladner, Guillermo Pons-Estel, Romina Tanten, Romina E Nieto, Cecilia N Pisoni, Yohana S Tissera, Ricardo Xavier, Claudia D Lopes Marques, Gecilmara C S Pileggi, Philip C Robinson, Pedro M Machado, Emily Sirotich, Jean W Liew, Jonathan S Hausmann, Paul Sufka, Rebecca Grainger, Suleman Bhana, Monique Gore-Massy, Zachary S Wallace, Jinoos Yazdany, Brahim Dahou, Gimena Gómez, Karen Roberts, Roberto M Baez, Vanessa V Castro Coello, María J Haye Salinas, Federico N Maldonado, Alvaro A Reyes, Gelsomina Alle, Hernán Maldonado Ficco, Romina Nieto, Carla Gobbi, Yohana Tissera, Cecilia Pisoni, Alba Paula, Juan A Albiero, Maria M Schmid, Micaela Cosatti, Maria J Gamba, Carlevaris Leandro, María A Cusa, Noelia German, Veronica Bellomio, Lorena Takashima, Mariana Pera, Karina Cogo, Maria S Gálvez Elkin, María A Medina, Veronica Savio, Romina Rojas Tessel, Rodolfo P Alamino, Marina L Werner, Sofía Ornella, Luciana Casalla, Maria de la Vega, María Severina, Mercedes García, Luciana Gonzalez Lucero, Cecilia Romeo, Sebastián Moyano, Tatiana Barbich, Ana Bertoli, Andrea Baños, Sandra Petruzzelli, Carla Matellan, Silvana Conti, Maria A Lazaro, Gustavo F Rodriguez Gil, Fabian Risueño, Maria I Quaglia, Julia Scafati, Natalia L Cuchiaro, Jonathan E Rebak, Susana I Pineda, María E Calvo, Eugenia Picco, Josefina G Yanzi, Pablo Maid, Debora Guaglianone, Julieta S Morbiducci, Sabrina Porta, Natalia Herscovich, José L Velasco Zamora, Boris Kisluk, Maria S Castaños Menescardi, Rosana Gallo, María V Martire, Carla Maldini, Cecilia Goizueta, Sabrina S de la Vega Fernandez, Carolina Aeschlimann, Gisela Subils, Eva Rath, Yves Piette, Mieke Devinck, Bea Maeyaert, Francinne Machado Ribeiro, Sandra L Euzebio Ribeiro, Marcelo Pinheiro, Sebastián Ibáñez, Anne-Marie Chassin Trubert, Lingli Dong, Lui Cajas, Marko Barešić, Branimir Anić, Melanie-Ivana Ćulo, Tea A Pavelić, Kristina K Stranski, Boris Karanovic, Jiri Vencovsky, Marta Píchová, Maria Filkova, Hesham Hamoud, Dimitrios Vassilopoulos, Gabriela M Guzman Melgar, Ho So, Márta Király, Mahdi Vojdanian, Alexandra Balbir Gurman, Fatemah Abutiban, Julija Zepa, Inita Bulina, Loreta Bukauskiene, Beatriz E Zazueta Montiel, Angel A Castillo Ortiz, Erick Zamora Tehozol, David Vega Morales, Diana Cervántes Rosete, Eduardo Martín Nares, Tatiana S Rodriguez Reyna, Marina Rull Gabayet, Deshiré Alpízar Rodríguez, Fedra Irazoque, Xochitl Jimenez, Lenny Geurts van Bon, Theo Zijlstra, Monique Hoekstra, Nasra Al Adhoubi, Babur Salim, Enrique Giraldo, Ariel Salinas, Manuel Ugarte Gil, Jarosław Nowakowski, Richard Conway, Rachael Flood, Geraldine McCarthy, Ioana Felea, Ileana Filipescu, Simona Rednic, Laura Groseanu, Maria M Tamas, Vanda Mlynarikova, Martina Skamlova, Martin Zlnay, Dagmar Mičeková, Lubica Capova, Zelmira Macejova, Emőke Šteňová, Helena Raffayova, Gabriela Belakova, Eva Strakova, Marieta Senčarová, Soňa Žlnayová, Anna Sabová, Daniela Spisakova, Mária Oetterová, Olga Lukacova, Martina Bakosova, Alojzija Hocevar, Natalia de la Torre Rubio, Juan J Alegre Sancho, Montserrat Corteguera Coro, Juan C Cobeta Garcia, Maria C Torres Martin, Jose Campos, Jose A Gomez Puerta, Gozd K Yardimci, Servet Akar, Ozan C Icacan, Selda ÇELİK, Viktoriia Vasylets, Su-Ann Yeoh, Claire Vandevelde, Sasha Dunt, Jane Leeder, Elizabeth Macphie, Rosaria Salerno, Christine Graver, Katie Williams, Sheila O'Reilly, Kirsty Devine, Jennifer Tyler, Elizabeth Warner, James Pilcher, Samir Patel, Elena Nikiphorou, Laura Chadwick, Caroline M Jones, Beverley Harrison, Lucy Thornton, Diana O'Kane, Lucia Fusi, Audrey Low, Sarah Horton, Shraddha Jatwani, Sara Baig, Hammad Bajwa, Vernon Berglund, Angela Dahle, Walter Dorman, Jody Hargrove, Maren Hilton, Nicholas Lebedoff, Susan Leonard, Jennifer Morgan, Emily Pfeifer, Archibald Skemp, Jeffrey Wilson, Anne Wolff, Eduardo Cepeda, Derrick Todd, Denise Hare, Cassandra Calabrese, Christopher Adams, Arezou Khosroshahi, Adam Kilian, Douglas White, Melanie Winter, Theodore Fields, Caroline Siegel, Nicole Daver, Melissa Harvey, Neil Kramer, Concetta Lamore, Suneya Hogarty, Karen Yeter, Faizah Siddique, Byung Ban, Tamar Tanner, Eric Ruderman, William Davis, Robert Quinet, Evangeline Scopelitis, Karen Toribio, Tameka Webb Detiege, Jerald Zakem, Khurram Abbass, Gilbert Kepecs, Lilliam Miranda, Michael Guma, Ammar Haikal, Sushama Mody, Daric Mueller, Arundathi Jayatilleke, JoAnn Zell, Alison Bays, Kathryn Dao, Fatemeh Ezzati, Deborah Parks, David Karp, Guillermo Quiceno, Izadi, Z, Gianfrancesco, M, Schmajuk, G, Jacobsohn, L, Katz, P, Rush, S, Ja, C, Taylor, T, Shidara, K, Danila, M, Wysham, K, Strangfeld, A, Mateus, E, Hyrich, K, Gossec, L, Carmona, L, Lawson-Tovey, S, Kearsley-Fleet, L, Schaefer, M, Al-Emadi, S, Sparks, J, Hsu, T, Patel, N, Wise, L, Gilbert, E, Duarte-Garcia, A, Valenzuela-Almada, M, Ugarte-Gil, M, Ljung, L, Scire, C, Carrara, G, Hachulla, E, Richez, C, Cacoub, P, Thomas, T, Santos, M, Bernardes, M, Hasseli, R, Regierer, A, Schulze-Koops, H, Muller-Ladner, U, Pons-Estel, G, Tanten, R, Nieto, R, Pisoni, C, Tissera, Y, Xavier, R, Lopes Marques, C, Pileggi, G, Robinson, P, Machado, P, Sirotich, E, Liew, J, Hausmann, J, Sufka, P, Grainger, R, Bhana, S, Gore-Massy, M, Wallace, Z, Yazdany, J, Dahou, B, Gomez, G, Roberts, K, Baez, R, Castro Coello, V, Haye Salinas, M, Maldonado, F, Reyes, A, Alle, G, Maldonado Ficco, H, Gobbi, C, Paula, A, Albiero, J, Schmid, M, Cosatti, M, Gamba, M, Leandro, C, Cusa, M, German, N, Bellomio, V, Takashima, L, Pera, M, Cogo, K, Galvez Elkin, M, Medina, M, Savio, V, Rojas Tessel, R, Alamino, R, Werner, M, Ornella, S, Casalla, L, de la Vega, M, Severina, M, Garcia, M, Gonzalez Lucero, L, Romeo, C, Moyano, S, Barbich, T, Bertoli, A, Banos, A, Petruzzelli, S, Matellan, C, Conti, S, Lazaro, M, Rodriguez Gil, G, Risueno, F, Quaglia, M, Scafati, J, Cuchiaro, N, Rebak, J, Pineda, S, Calvo, M, Picco, E, Yanzi, J, Maid, P, Guaglianone, D, Morbiducci, J, Porta, S, Herscovich, N, Velasco Zamora, J, Kisluk, B, Castanos Menescardi, M, Gallo, R, Martire, M, Maldini, C, Goizueta, C, de la Vega Fernandez, S, Aeschlimann, C, Subils, G, Rath, E, Piette, Y, Devinck, M, Maeyaert, B, Machado Ribeiro, F, Euzebio Ribeiro, S, Pinheiro, M, Ibanez, S, Chassin Trubert, A, Dong, L, Cajas, L, Baresic, M, Anic, B, Culo, M, Pavelic, T, Stranski, K, Karanovic, B, Vencovsky, J, Pichova, M, Filkova, M, Hamoud, H, Vassilopoulos, D, Guzman Melgar, G, So, H, Kiraly, M, Vojdanian, M, Balbir Gurman, A, Abutiban, F, Zepa, J, Bulina, I, Bukauskiene, L, Zazueta Montiel, B, Castillo Ortiz, A, Zamora Tehozol, E, Vega Morales, D, Cervantes Rosete, D, Martin Nares, E, Rodriguez Reyna, T, Rull Gabayet, M, Alpizar Rodriguez, D, Irazoque, F, Jimenez, X, Geurts van Bon, L, Zijlstra, T, Hoekstra, M, Al Adhoubi, N, Salim, B, Giraldo, E, Salinas, A, Ugarte Gil, M, Nowakowski, J, Conway, R, Flood, R, Mccarthy, G, Felea, I, Filipescu, I, Rednic, S, Groseanu, L, Tamas, M, Mlynarikova, V, Skamlova, M, Zlnay, M, Micekova, D, Capova, L, Macejova, Z, Stenova, E, Raffayova, H, Belakova, G, Strakova, E, Sencarova, M, Zlnayova, S, Sabova, A, Spisakova, D, Oetterova, M, Lukacova, O, Bakosova, M, Hocevar, A, de la Torre Rubio, N, Alegre Sancho, J, Corteguera Coro, M, Cobeta Garcia, J, Torres Martin, M, Campos, J, Gomez Puerta, J, Yardimci, G, Akar, S, Icacan, O, Celik, S, Vasylets, V, Yeoh, S, Vandevelde, C, Dunt, S, Leeder, J, Macphie, E, Salerno, R, Graver, C, Williams, K, O'Reilly, S, Devine, K, Tyler, J, Warner, E, Pilcher, J, Patel, S, Nikiphorou, E, Chadwick, L, Jones, C, Harrison, B, Thornton, L, O'Kane, D, Fusi, L, Low, A, Horton, S, Jatwani, S, Baig, S, Bajwa, H, Berglund, V, Dahle, A, Dorman, W, Hargrove, J, Hilton, M, Lebedoff, N, Leonard, S, Morgan, J, Pfeifer, E, Skemp, A, Wilson, J, Wolff, A, Cepeda, E, Todd, D, Hare, D, Calabrese, C, Adams, C, Khosroshahi, A, Kilian, A, White, D, Winter, M, Fields, T, Siegel, C, Daver, N, Harvey, M, Kramer, N, Lamore, C, Hogarty, S, Yeter, K, Siddique, F, Ban, B, Tanner, T, Ruderman, E, Davis, W, Quinet, R, Scopelitis, E, Toribio, K, Webb Detiege, T, Zakem, J, Abbass, K, Kepecs, G, Miranda, L, Guma, M, Haikal, A, Mody, S, Mueller, D, Jayatilleke, A, Zell, J, Bays, A, Dao, K, Ezzati, F, Parks, D, Karp, D, Quiceno, G, and Repositório da Universidade de Lisboa

Subjects
health care disparity, Immunology, air pollution, cohort analysi, mortality rate, Autoimmune Disease, Article, coronavirus disease 2019, biocontainment, Rheumatology, male, cardiovascular disease, environmental factor, death, geographic distribution, Immunology and Allergy, follow up, controlled study, human, population density, outcome assessment, rheumatic disease, diabetes mellitu, adult, Prevention, market, temperature, mortality, United Kingdom, Europe, aged, female, workplace, Good Health and Well Being, human development, particulate matter 2.5, statistical analysi, North America, incidence, life expectancy, social aspect, COVID-19 Global Rheumatology Alliance Registry, observational study, demographic
Abstract

Published by Elsevier Ltd., 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/m3 [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, MAG is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers K01 AR070585 and K24 AR074534 [JY]). KDW is supported by the Department of Veterans Affairs and the Rheumatology Research Foundation Scientist Development award. JAS is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grant numbers K23 AR069688, R03 AR075886, L30 AR066953, P30 AR070253, and P30 AR072577), the Rheumatology Research Foundation (K Supplement Award and R Bridge Award), the Brigham Research Institute, and the R. Bruce and Joan M. Mickey Research Scholar Fund. NJP is supported by the National Institute of Arthritis and Musculoskeletal and Skin Diseases (T32-AR-007258). AD-G is supported by grants from the Centers for Disease Control and Prevention and the Rheumatology Research Foundation. RH was supported by the Justus-Liebig University Giessen Clinician Scientist Program in Biomedical Research to work on this registry. JY is supported by grants from the National Institutes of Health (K24 AR074534 and P30 AR070155).

Published
2022

9. Country-Level Factors Associated With COVID-19-Related Death in People With Rheumatic Disease: Results From the COVID-19 Global Rheumatology Alliance Registry

Author

Zara Izadi, Milena A. Gianfrancesco, Gabriela Schmajuk, Lindsay Jacobsohn, Patricia Katz, Stephanie Rush, Clairissa Ja, Tiffany Taylor, Kie Shidara, Maria I. Danila, Katherine D. Wysham, Anja Strangfeld, Elsa Frãzao Mateus, Kimme L. Hyrich, Laure Gossec, Loreto Carmona, Saskia Lawson-Tovey, Lianne Kearsley-Fleet, Martin Schaefer, Samar Al-Emadi, Jeffrey A. Sparks, Tiffany Y-T Hsu, Naomi J. Patel, Leanna Wise, Emily Gilbert, Alí Duarte-García, Maria O. Valenzuela-Almada, Manuel F. Ugarte-Gil, Lotta Ljung, Carlo A. Scirè, Greta Carrara, Eric Hachulla, Christophe RICHEZ, Patrice CACOUB, Thierry Thomas, Maria J. Santos, Miguel Bernardes, Rebecca Hasseli, Anne Regierer, Hendrik Schulze-Koops, Ulf Müller-Ladner, Guillermo Pons-Estel, Romina Tanten, Romina E. Nieto, Cecilia Nora Pisoni, Yohana S. Tissera, Ricardo Xavier, Claudia D. Lopes Marques, Gecilmara Cristina Salviato Pileggi, Philip C. Robinson, Pedro M. Machado, Emily Sirotich, Jean W. Liew, Jonathan S. Hausmann, Paul Sufka, Rebecca Grainger, Suleman Bhana, Monique Gore-Massy, Zachary S. Wallace, Jinoos Yazdany, and Global Rheumatology Alliance Registry

Subjects
History, Polymers and Plastics, Business and International Management, Industrial and Manufacturing Engineering
Published
2022
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