2022
Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry
Izadi Z, Gianfrancesco M, Aguirre A, Strangfeld A, Mateus E, Hyrich K, Gossec L, Carmona L, Lawson‐Tovey S, Kearsley‐Fleet L, Schaefer M, Seet A, Schmajuk G, Jacobsohn L, Katz P, Rush S, Al‐Emadi S, Sparks J, Hsu T, Patel N, Wise L, Gilbert E, Duarte‐García A, Valenzuela‐Almada M, Ugarte‐Gil M, Ribeiro S, de Oliveira Marinho A, de Azevedo Valadares L, Di Giuseppe D, Hasseli R, Richter J, Pfeil A, Schmeiser T, Isnardi C, Torres A, Alle G, Saurit V, Zanetti A, Carrara G, Labreuche J, Barnetche T, Herasse M, Plassart S, Santos M, Rodrigues A, Robinson P, Machado P, Sirotich E, Liew J, Hausmann J, Sufka P, Grainger R, Bhana S, Costello W, Wallace Z, Yazdany J, Registry G. 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 2022, 4: 872-882. PMID: 35869686, PMCID: PMC9350083, DOI: 10.1002/acr2.11481.Peer-Reviewed Original ResearchAcute respiratory distress syndromeRisk score calculatorCOVID-19 acute respiratory distress syndromeRespiratory distress syndromeScore calculatorCOVID-19 diagnosisDistress syndromeRheumatic diseasesCoronavirus disease 2019 acute respiratory distress syndromeIndependent registriesCOVID-19 disease progressionRegression modelsKey risk factorsRisk stratificationARDS outcomeRisk factorsDisease progressionHighest mean AUCHigh riskPatientsMean AUCClinical settingRegistryMonoclonal antibodiesSyndrome
2021
OP0288 MACHINE LEARNING ALGORITHMS TO PREDICT COVID-19 ACUTE RESPIRATORY DISTRESS SYNDROME IN PATIENTS WITH RHEUMATIC DISEASES: RESULTS FROM THE GLOBAL RHEUMATOLOGY ALLIANCE PROVIDER REGISTRY
Izadi Z, Gianfrancesco M, Hyrich K, Strangfeld A, Gossec L, Carmona L, Mateus E, Lawson-Tovey S, Trupin L, Rush S, Schmajuk G, Jacobsohn L, Katz P, Al Emadi S, Wise L, Gilbert E, Valenzuela-Almada M, Duarte-Garcia A, Sparks J, Hsu T, D’silva K, Serling-Boyd N, Bhana S, Costello W, Grainger R, Hausmann J, Liew J, Sirotich E, Sufka P, Wallace Z, Machado P, Robinson P, Yazdany J. OP0288 MACHINE LEARNING ALGORITHMS TO PREDICT COVID-19 ACUTE RESPIRATORY DISTRESS SYNDROME IN PATIENTS WITH RHEUMATIC DISEASES: RESULTS FROM THE GLOBAL RHEUMATOLOGY ALLIANCE PROVIDER REGISTRY. Annals Of The Rheumatic Diseases 2021, 80: 175.2-176. DOI: 10.1136/annrheumdis-2021-eular.446.Peer-Reviewed Original ResearchAcute respiratory distress syndromeDevelopment of acute respiratory distress syndromeTime of COVID-19 diagnosisNegative predictive valuePositive predictive valueGlobal Rheumatology AllianceRheumatic diseasesBristol-Myers SquibbGrant/research supportPredictive valueArea under curveCOVID-19 Global Rheumatology AllianceRisk factors associated with acute respiratory distress syndromeGlobal cohort of patientsPre-existing rheumatic diseaseRisk of acute respiratory distress syndromeAnti-CD20 monoclonal antibodyAcute respiratory distress syndrome diagnosisTumor necrosis factor inhibitorsBristol-MyersCOVID-19 diagnosisRespiratory distress syndromeCohort of patientsInterstitial lung diseaseLife-threatening complications