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Izadi Z, Gianfrancesco MA, Aguirre A, Strangfeld A, Mateus EF, Hyrich KL, Gossec L, Carmona L, Lawson‐Tovey S, Kearsley‐Fleet L, Schaefer M, Seet AM, Schmajuk G, Jacobsohn L, Katz P, Rush S, Al‐Emadi S, Sparks JA, Hsu TY, Patel NJ, Wise L, Gilbert E, Duarte‐García A, Valenzuela‐Almada MO, Ugarte‐Gil MF, Ribeiro SLE, de Oliveira Marinho A, de Azevedo Valadares LD, Giuseppe DD, Hasseli R, Richter JG, Pfeil A, Schmeiser T, Isnardi CA, Reyes Torres AA, Alle G, Saurit V, Zanetti A, Carrara G, Labreuche J, Barnetche T, Herasse M, Plassart S, Santos MJ, Rodrigues AM, Robinson PC, Machado PM, Sirotich E, Liew JW, Hausmann JS, Sufka P, Grainger R, Bhana S, Costello W, Wallace ZS, Yazdany J. 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 Rheumatol 2022; 4:872-882. [PMID: 35869686 PMCID: PMC9350083 DOI: 10.1002/acr2.11481] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 05/31/2022] [Indexed: 11/09/2022] Open
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.
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Affiliation(s)
| | | | | | | | - Elsa F. Mateus
- Portuguese League Against Rheumatic DiseasesLisbonPortugal
| | - Kimme L. Hyrich
- The University of Manchester and National Institute for Health Research Manchester Biomedical Research Centre, Manchester University and NHS Foundation TrustManchesterUK
| | - Laure Gossec
- INSERM, Sorbonne Universite and Hopital Universitaire Pitie Salpetriere, AP‐HPParisFrance
| | | | - Saskia Lawson‐Tovey
- The University of Manchester and National Institute for Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust and Manchester Academic Health Science CentreManchesterUK
| | - Lianne Kearsley‐Fleet
- The University of Manchester and Manchester Academic Health Science CentreManchesterUK
| | | | | | - Gabriela Schmajuk
- University of CaliforniaSan Francisco and San Francisco Department of Veterans Affairs Medical Center
| | | | | | | | | | - Jeffrey A. Sparks
- Brigham and Women's Hospital and Harvard Medical SchoolBostonMassachusetts
| | - Tiffany Y‐T Hsu
- Brigham and Women's Hospital and Harvard Medical SchoolBostonMassachusetts
| | - Naomi J. Patel
- Massachusetts General Hospital and Harvard Medical SchoolBoston
| | - Leanna Wise
- University of Southern CaliforniaLos Angeles
| | | | | | | | - Manuel F. Ugarte‐Gil
- Universidad Científica del Sur and Hospital Nacional Guillermo Almenara IrigoyenEsSalud, LimaPeru
| | | | | | | | | | - Rebecca Hasseli
- Justus‐Liebig University Giessen, Campus KerckhoffGiessenGermany
| | | | - Alexander Pfeil
- Jena University Hospital and Friedrich Schiller University JenaJenaGermany
| | - Tim Schmeiser
- Rheumatology im Veedel (Private Practice)CologneGermany
| | | | | | | | | | - Anna Zanetti
- Italian Society for Rheumatology and University of Milano‐BicoccaMilanItaly
| | - Greta Carrara
- Italian Society for Rheumatology and University of Milano‐BicoccaMilanItaly
| | | | - Thomas Barnetche
- FHU ACRONIM, Centre for Autoimmune Systemic Rare Diseases, Bordeaux University HospitalBordeauxFrance
| | - Muriel Herasse
- Filière des Maladies Autoimmunes et Autoinflammatoires Rares, Hôpital Huriez, Centre Hospitalier Universitaire de LilleLilleFrance
| | - Samira Plassart
- Filière des Maladies Autoimmunes et Autoinflammatoires Rares, Hôpital Huriez, Centre Hospitalier Universitaire de LilleLilleFrance
| | - Maria José Santos
- Hospital Garcia de Orta, Almada, Portugal, and Instituto de Medicina Molecular Faculdade Medicina and Rheumatic Diseases Portuguese RegisterLisbonPortugal
| | - Ana Maria Rodrigues
- Rheumatic Diseases Portuguese Register, Sociedade Portuguesa de Reumatologia, Nova Medical School, and Hospital dos LusiadasLisbonPortugal
| | - Philip C. Robinson
- The University of Queensland, Brisbane, Queensland, Australia, and Royal Brisbane and Women's Hospital, Metro North Hospital and Health ServiceHerstonQueenslandAustralia
| | - Pedro M. Machado
- University College London, University College London Hospitals NHS Foundation Trust and Northwick Park Hospital, London North West University Healthcare NHS TrustLondonUK
| | - Emily Sirotich
- McMaster University, Hamilton, Ontario, Canada, and Canadian Arthritis Patient AllianceTorontoOntarioCanada
| | - Jean W. Liew
- Boston University School of MedicineBostonMassachusetts
| | - Jonathan S. Hausmann
- Beth Israel Deaconess Medical Center, Harvard Medical School and Boston Children's HospitalBostonMassachusetts
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Jatuworapruk K, Montgomery A, Gianfrancesco M, Conway R, Durcan L, Graef ER, Jayatilleke A, Keen H, Kilian A, Young K, Carmona L, Cogo AK, Duarte‐García A, Gossec L, Hasseli R, Hyrich KL, Langlois V, Lawson‐Tovey S, Malcata A, Mateus EF, Schafer M, Scirè CA, Sigurdardottir V, Sparks JA, Strangfeld A, Xavier RM, Bhana S, Gore‐Massy M, Hausmann J, Liew JW, Sirotich E, Sufka P, Wallace Z, Machado PM, Yazdany J, Grainger R, Robinson PC. Characteristics and Outcomes of People With Gout Hospitalized Due to
COVID
‐19: Data From the
COVID
‐19 Global Rheumatology Alliance
Physician‐Reported
Registry. ACR Open Rheumatol 2022; 4:948-953. [PMID: 36000538 PMCID: PMC9539246 DOI: 10.1002/acr2.11495] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 12/15/2022] Open
Abstract
Objective To describe people with gout who were diagnosed with coronavirus disease 2019 (COVID‐19) and hospitalized and to characterize their outcomes. Methods Data on patients with gout hospitalized for COVID‐19 between March 12, 2020, and October 25, 2021, were extracted from the COVID‐19 Global Rheumatology Alliance registry. Descriptive statistics were used to describe the demographics, comorbidities, medication exposures, and COVID‐19 outcomes including oxygenation or ventilation support and death. Results One hundred sixty‐three patients with gout who developed COVID‐19 and were hospitalized were included. The mean age was 63 years, and 85% were male. The majority of the group lived in the Western Pacific Region (35%) and North America (18%). Nearly half (46%) had two or more comorbidities, with hypertension (56%), cardiovascular disease (28%), diabetes mellitus (26%), chronic kidney disease (25%), and obesity (23%) being the most common. Glucocorticoids and colchicine were used pre‐COVID‐19 in 11% and 12% of the cohort, respectively. Over two thirds (68%) of the cohort required supplemental oxygen or ventilatory support during hospitalization. COVID‐19‐related death was reported in 16% of the overall cohort, with 73% of deaths documented in people with two or more comorbidities. Conclusion This cohort of people with gout and COVID‐19 who were hospitalized had high frequencies of ventilatory support and death. This suggests that patients with gout who were hospitalized for COVID‐19 may be at risk of poor outcomes, perhaps related to known risk factors for poor outcomes, such as age and presence of comorbidity.
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Affiliation(s)
| | | | | | | | - Laura Durcan
- Beaumont Hospital and Royal College of Surgeons of Ireland Dublin
| | | | - Aruni Jayatilleke
- Lewis Katz School of Medicine at Temple University Philadelphia Pennsylvania
| | - Helen Keen
- The University of Western Australia Western Australia
| | - Adam Kilian
- Saint Louis University School of Medicine St. Louis Missouri
| | | | | | - Adriana Karina Cogo
- Hospital Interzonal Luis Guemes, Haedo, and Hospital San Juan de Dios Castelar, Buenos Aires Argentina
| | | | - Laure Gossec
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, and AP‐HP, Pitié‐Salpêtrière Hospital Paris France
| | - Rebecca Hasseli
- University Hospital Giessen, Justus‐Liebig‐University Giessen Germany
| | - Kimme L. Hyrich
- The University of Manchester and National Institute of Health Research Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre Manchester UK
| | | | | | - Armando Malcata
- Serviço de reumatologia do Centro Hospitalar e Universitário de Coimbra, and Reuma.pt, Sociedade Portuguesa de Reumatologia Lisbon Portugal
| | - Elsa F Mateus
- Portuguese League Against Rheumatic Diseases (LPCDR) Lisbon Portugal
| | - Martin Schafer
- Epidemiology and Health Care Research, German Rheumatism Research Center Berlin (DRFZ) Berlin Germany
| | | | | | - Jeffrey A. Sparks
- Brigham and Women's Hospital and Harvard Medical School Boston Massachusetts
| | - Anja Strangfeld
- Epidemiology and Health Care Research, German Rheumatism Research Center Berlin (DRFZ) Berlin Germany
| | - Ricardo M. Xavier
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul (UFRGS) Porto Alegre Brazil
| | | | | | - Jonathan Hausmann
- Boston Children's Hospital, Beth Israel Deaconess Medical Center Boston Massachusetts
| | - Jean W. Liew
- Boston University School of Medicine Boston Massachusetts
| | - Emily Sirotich
- McMaster University, Hamilton, Ontario, Canada; Canadian Arthritis Patient Alliance
| | | | - Zach Wallace
- Massachusetts General Hospital and Harvard Medical School Boston
| | - Pedro M. Machado
- University College London; National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, University College London Hospitals NHS Foundation Trust; and Northwick Park Hospital, London North West University Healthcare NHS Trust London UK
| | | | | | - Philip C. Robinson
- Royal Brisbane & Women's Hospital and University of Queensland School of Clinical Medicine Herston Queensland Australia
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