Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry
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 set...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-10-01
|
| Series: | ACR Open Rheumatology |
| Online Access: | https://doi.org/10.1002/acr2.11481 |
| _version_ | 1797995767699341312 |
|---|---|
| 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 Global Rheumatology Alliance Registry |
| author_facet | 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 Global Rheumatology Alliance Registry |
| author_sort | Zara Izadi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T10:06:56Z |
| format | Article |
| id | doaj.art-09d83890d8f2409abe26d8307e2633b3 |
| institution | Directory Open Access Journal |
| issn | 2578-5745 |
| language | English |
| last_indexed | 2024-04-11T10:06:56Z |
| publishDate | 2022-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | ACR Open Rheumatology |
| spelling | doaj.art-09d83890d8f2409abe26d8307e2633b32022-12-22T04:30:12ZengWileyACR Open Rheumatology2578-57452022-10-0141087288210.1002/acr2.11481Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance RegistryZara Izadi0Milena A. Gianfrancesco1Alfredo Aguirre2Anja Strangfeld3Elsa F. Mateus4Kimme L. Hyrich5Laure Gossec6Loreto Carmona7Saskia Lawson‐Tovey8Lianne Kearsley‐Fleet9Martin Schaefer10Andrea M. Seet11Gabriela Schmajuk12Lindsay Jacobsohn13Patricia Katz14Stephanie Rush15Samar Al‐Emadi16Jeffrey A. Sparks17Tiffany Y‐T Hsu18Naomi J. Patel19Leanna Wise20Emily Gilbert21Alí Duarte‐García22Maria O. Valenzuela‐Almada23Manuel F. Ugarte‐Gil24Sandra Lúcia Euzébio Ribeiro25Adriana deOliveira Marinho26Lilian David deAzevedo Valadares27Daniela Di Giuseppe28Rebecca Hasseli29Jutta G. Richter30Alexander Pfeil31Tim Schmeiser32Carolina A. Isnardi33Alvaro A. Reyes Torres34Gelsomina Alle35Verónica Saurit36Anna Zanetti37Greta Carrara38Julien Labreuche39Thomas Barnetche40Muriel Herasse41Samira Plassart42Maria José Santos43Ana Maria Rodrigues44Philip C. Robinson45Pedro M. Machado46Emily Sirotich47Jean W. Liew48Jonathan S. Hausmann49Paul Sufka50Rebecca Grainger51Suleman Bhana52Wendy Costello53Zachary S. Wallace54Jinoos Yazdany55Global Rheumatology Alliance RegistryUniversity of California San FranciscoUniversity of California San FranciscoUniversity of California San FranciscoDeutsches Rheuma‐Forschungszentrum Berlin Berlin GermanyPortuguese League Against Rheumatic Diseases Lisbon PortugalThe University of Manchester and National Institute for Health Research Manchester Biomedical Research Centre, Manchester University and NHS Foundation Trust Manchester UKINSERM, Sorbonne Universite and Hopital Universitaire Pitie Salpetriere, AP‐HP Paris FranceInstituto de Salud Musculoesquelética Madrid SpainThe University of Manchester and National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust and Manchester Academic Health Science Centre Manchester UKThe University of Manchester and Manchester Academic Health Science Centre Manchester UKGerman Rheumatism Research Center Berlin GermanyUniversity of California San FranciscoUniversity of California San Francisco and San Francisco Department of Veterans Affairs Medical CenterUniversity of California San FranciscoUniversity of California San FranciscoUniversity of California San FranciscoHamad Medical Corporation Doha QatarBrigham and Women's Hospital and Harvard Medical School Boston MassachusettsBrigham and Women's Hospital and Harvard Medical School Boston MassachusettsMassachusetts General Hospital and Harvard Medical School BostonUniversity of Southern California Los AngelesMayo Clinic Jacksonville FloridaMayo Clinic Rochester MinnesotaMayo Clinic Rochester MinnesotaUniversidad Científica del Sur and Hospital Nacional Guillermo Almenara Irigoyen EsSalud, Lima PeruUniversidade Federal do Amazonas Manaus BrazilFundação Hospitalar do Acre Rio Branco BrazilUniversidade Federal de Pernambuco Recife BrazilKarolinska Institutet Stockholm SwedenJustus‐Liebig University Giessen, Campus Kerckhoff Giessen GermanyHeinrich‐Heine‐University Düsseldorf Düsseldorf GermanyJena University Hospital and Friedrich Schiller University Jena Jena GermanyRheumatology im Veedel (Private Practice) Cologne GermanyArgentine Society of Rheumatology Buenos Aires ArgentinaHospital Italiano de Buenos Aires Buenos Aires ArgentinaHospital Italiano de Buenos Aires Buenos Aires ArgentinaHospital Privado Universitario de Córdoba Córdoba ArgentinaItalian Society for Rheumatology and University of Milano‐Bicocca Milan ItalyItalian Society for Rheumatology and University of Milano‐Bicocca Milan ItalyCentre Hospitalier Universitaire de Lille Lille FranceFHU ACRONIM, Centre for Autoimmune Systemic Rare Diseases, Bordeaux University Hospital Bordeaux FranceFilière des Maladies Autoimmunes et Autoinflammatoires Rares, Hôpital Huriez, Centre Hospitalier Universitaire de Lille Lille FranceFilière des Maladies Autoimmunes et Autoinflammatoires Rares, Hôpital Huriez, Centre Hospitalier Universitaire de Lille Lille FranceHospital Garcia de Orta, Almada, Portugal, and Instituto de Medicina Molecular Faculdade Medicina and Rheumatic Diseases Portuguese Register Lisbon PortugalRheumatic Diseases Portuguese Register, Sociedade Portuguesa de Reumatologia, Nova Medical School, and Hospital dos Lusiadas Lisbon PortugalThe University of Queensland, Brisbane, Queensland, Australia, and Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service Herston Queensland AustraliaUniversity College London, University College London Hospitals NHS Foundation Trust and Northwick Park Hospital, London North West University Healthcare NHS Trust London UKMcMaster University, Hamilton, Ontario, Canada, and Canadian Arthritis Patient Alliance Toronto Ontario CanadaBoston University School of Medicine Boston MassachusettsBeth Israel Deaconess Medical Center, Harvard Medical School and Boston Children's Hospital Boston MassachusettsHealthPartners St. Paul MinnesotaUniversity of Otago Wellington Wellington New ZealandPfizer Inc. New York New YorkIrish Children's Arthritis Network Tipperary IrelandMassachusetts General Hospital and Harvard Medical School BostonUniversity of California San FranciscoObjective 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.https://doi.org/10.1002/acr2.11481 |
| spellingShingle | 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 Global Rheumatology Alliance Registry Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry ACR Open Rheumatology |
| title | Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry |
| title_full | Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry |
| title_fullStr | Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry |
| title_full_unstemmed | Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry |
| title_short | Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry |
| title_sort | development of a prediction model for covid 19 acute respiratory distress syndrome in patients with rheumatic diseases results from the global rheumatology alliance registry |
| url | https://doi.org/10.1002/acr2.11481 |
| work_keys_str_mv | AT zaraizadi developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT milenaagianfrancesco developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT alfredoaguirre developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT anjastrangfeld developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT elsafmateus developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT kimmelhyrich developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT lauregossec developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT loretocarmona developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT saskialawsontovey developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT liannekearsleyfleet developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT martinschaefer developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT andreamseet developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT gabrielaschmajuk developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT lindsayjacobsohn developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT patriciakatz developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT stephanierush developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT samaralemadi developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT jeffreyasparks developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT tiffanyythsu developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT naomijpatel developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT leannawise developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT emilygilbert developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT aliduartegarcia developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT mariaovalenzuelaalmada developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT manuelfugartegil developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT sandraluciaeuzebioribeiro developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT adrianadeoliveiramarinho developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT liliandaviddeazevedovaladares developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT danieladigiuseppe developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT rebeccahasseli developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT juttagrichter developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT alexanderpfeil developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT timschmeiser developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT carolinaaisnardi developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT alvaroareyestorres developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT gelsominaalle developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT veronicasaurit developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT annazanetti developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT gretacarrara developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT julienlabreuche developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT thomasbarnetche developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT murielherasse developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT samiraplassart developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT mariajosesantos developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT anamariarodrigues developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT philipcrobinson developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT pedrommachado developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT emilysirotich developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT jeanwliew developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT jonathanshausmann developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT paulsufka developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT rebeccagrainger developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT sulemanbhana developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT wendycostello developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT zacharyswallace developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT jinoosyazdany developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry AT globalrheumatologyallianceregistry developmentofapredictionmodelforcovid19acuterespiratorydistresssyndromeinpatientswithrheumaticdiseasesresultsfromtheglobalrheumatologyallianceregistry |