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IRIS Institutional Research Information System - OPENBS Open Archive UniBS
Objectives: Disease flares in the post-coronavirus disease 2019 (COVID-19) vaccination period represent a prominent concern, though risk factors are poorly understood. We studied these flares among patients with idiopathic inflammatory myopathies (IIMs) and other autoimmune rheumatic diseases (AIRDs).
Methods: The COVAD-1 and -2 global surveys were circulated in early 2021 and 2022, respectively, and we captured demographics, comorbidities, AIRDs details, COVID-19 infection history and vaccination details. Flares of IIMs were defined as (a) patient self-reported, (b) immunosuppression (IS) denoted, (c) clinical sign directed and (d) with >7.9-point minimal clinically significant improvement difference worsening of Patient-Reported Outcomes Measurement Information System (PROMIS) PROMISPF10a score. Risk factors of flares were analysed using regression models.
Results: Of 15 165 total respondents, 1278 IIMs (age 63 years, 70.3% female, 80.8% Caucasians) and 3453 AIRDs were included. Flares of IIM were seen in 9.6%, 12.7%, 8.7% and 19.6% patients by definitions (a) to (d), respectively, with a median time to flare of 71.5 (10.7-235) days, similar to AIRDs. Patients with active IIMs pre-vaccination (OR 1.2; 95% CI 1.03, 1.6, P = 0.025) were prone to flares, while those receiving rituximab (OR 0.3; 95% CI 0.1, 0.7, P = 0.010) and AZA (OR 0.3, 95% CI 0.1, 0.8, P = 0.016) were at lower risk. Female gender and comorbidities predisposed to flares requiring changes in IS. Asthma (OR 1.62; 95% CI 1.05, 2.50, P = 0.028) and higher pain visual analogue score (OR 1.19; 95% CI 1.11, 1.27, P < 0.001) were associated with disparity between self-reported and IS-denoted flares.
Conclusion: A diagnosis of IIMs confers an equal risk of flares in the post-COVID-19 vaccination period to AIRDs, with active disease, female gender and comorbidities conferring a higher risk. Disparity between patient- and physician-reported outcomes represents a future avenue for exploration.
Flares in IIMs and the timeline following COVID-19 vaccination: a combined analysis of the COVAD-1 and -2 surveys
Naveen R;Parikshit Sen;Zoltán Griger;Jessica Day;Mrudula Joshi;Arvind Nune;Elena Nikiphorou;Sreoshy Saha;Ai Lyn Tan;Samuel Katsuyuki Shinjo;Nelly Ziade;Tsvetelina Velikova;Marcin Milchert;Kshitij Jagtap;Ioannis Parodis;Abraham Edgar Gracia-Ramos;Lorenzo Cavagna;Masataka Kuwana;Johannes Knitza;Yi Ming Chen;Ashima Makol;Vishwesh Agarwal;Aarat Patel;John D Pauling;Chris Wincup;Bhupen Barman;Erick Adrian Zamora Tehozol;Jorge Rojas Serrano;Ignacio García-De La Torre;Iris J Colunga-Pedraza;Javier Merayo-Chalico;Okwara Celestine Chibuzo;Wanruchada Katchamart;Phonpen Akarawatcharangura Goo;Russka Shumnalieva;Leonardo Santos Hoff;Lina El Kibbi;Hussein Halabi;Binit Vaidya;Syahrul Sazliyana Shaharir;A T M Tanveer Hasan;Dzifa Dey;Carlos Enrique Toro Gutiérrez;Carlo V Caballero-Uribe;James B Lilleker;Babur Salim;Tamer Gheita;Tulika Chatterjee;Oliver Distler;Miguel A Saavedra;Hector Chinoy;Vikas Agarwal;Rohit Aggarwal;Latika Gupta;COVAD Study Group authors: Sinan Kardes;Laura Andreoli;Daniele Lini;Karen Schreiber;Melinda Nagy Vince;Yogesh Preet Singh;Rajiv Ranjan;Avinash Jain;Sapan C. Pandya;Rakesh Kumar Pilania;Aman Sharma;M. Manesh Manoj;Vikas Gupta;Chengappa G. Kavadichanda;Pradeepta Sekhar Patro;Sajal Ajmani;Sanat Phatak;Rudra Prosad Goswami;Abhra Chandra Chowdhury;Ashish Jacob Mathew;Padnamabha Shenoy;Ajay Asranna;Keerthi Talari Bommakanti;Anuj Shukla;Arunkumar R. Pande;Kunal Chandwar;Akanksha Ghodke;Hiya Boro;Zoha Zahid Fazal;Döndü Üsküdar Cansu;Reşit Yıldırım;Armen Yuri Gasparyan;Nicoletta Del Papa;Gianluca Sambataro;Atzeni Fabiola;Marcello Govoni;Simone Parisi;Elena Bartoloni Bocci;Gian Domenico Sebastiani;Enrico Fusaro;Marco Sebastiani;Luca Quartuccio;Franco Franceschini;Pier Paolo Sainaghi;Giovanni Orsolini;Rossella De Angelis;Maria Giovanna Danielli;Vincenzo Venerito;Silvia Grignaschi;Alessandro Giollo;Alessia Alluno;Florenzo Ioannone;Marco Fornaro;Lisa S. Traboco;Suryo Anggoro Kusumo Wibowo;Jesús Loarce-Martos;Sergio Prieto-González;Raquel Aranega Gonzalez;Akira Yoshida;Ran Nakashima;Shinji Sato;Naoki Kimura;Yuko Kaneko;Takahisa Gono;Stylianos Tomaras;Fabian Nikolai Proft;Marie-Therese Holzer;Margarita Aleksandrovna Gromova;Or Aharonov;Zoltán Griger;Ihsane Hmamouchi;Imane El Bouchti;Zineb Baba;Margherita Giannini;François Maurier;Julien Campagne;Alain Meyer;Daman Langguth;Vidya Limaye;Merrilee Needham;Nilesh Srivastav;Marie Hudson;Océane Landon-Cardinal;Wilmer Gerardo Rojas Zuleta;Álvaro Arbeláez;Javier Cajas;José António Pereira Silva;João Eurico Fonseca;Olena Zimba;Doskaliuk Bohdana;Uyi Ima-Edomwonyi;Ibukunoluwa Dedeke;Emorinken Airenakho;Nwankwo Henry Madu;Abubakar Yerima;Hakeem Olaosebikan;Becky A.;Oruma Devi Koussougbo;Elisa Palalane;Ho So;Manuel Francisco Ugarte-Gil;Lyn Chinchay;José Proaño Bernaola;Victorio Pimentel;Hanan Mohammed Fathi;Reem Hamdy A. Mohammed;Ghita Harifi;Yurilís Fuentes-Silva;Karoll Cabriza;Jonathan Losanto;Nelly Colaman;Antonio Cachafeiro-Vilar;Generoso Guerra Bautista;Enrique Julio Giraldo Ho;Raúl González;Lilith Stange Nunez;M. Cristian Vergara;Jossiell Then Báez;Hugo Alonzo;Carlos Benito Santiago Pastelin;Rodrigo García Salinas;Alejandro Quiñónez Obiols;Nilmo Chávez;Andrea Bran Ordóñez;Gil Alberto Reyes Llerena;Radames Sierra-Zorita;Dina Arrieta;Eduardo Romero Hidalgo;Ricardo Saenz;M. Idania Escalante;Wendy Calapaqui;Ivonne Quezada;Gabriela Arredondo.
2024-01-01
Abstract
Objectives: Disease flares in the post-coronavirus disease 2019 (COVID-19) vaccination period represent a prominent concern, though risk factors are poorly understood. We studied these flares among patients with idiopathic inflammatory myopathies (IIMs) and other autoimmune rheumatic diseases (AIRDs).
Methods: The COVAD-1 and -2 global surveys were circulated in early 2021 and 2022, respectively, and we captured demographics, comorbidities, AIRDs details, COVID-19 infection history and vaccination details. Flares of IIMs were defined as (a) patient self-reported, (b) immunosuppression (IS) denoted, (c) clinical sign directed and (d) with >7.9-point minimal clinically significant improvement difference worsening of Patient-Reported Outcomes Measurement Information System (PROMIS) PROMISPF10a score. Risk factors of flares were analysed using regression models.
Results: Of 15 165 total respondents, 1278 IIMs (age 63 years, 70.3% female, 80.8% Caucasians) and 3453 AIRDs were included. Flares of IIM were seen in 9.6%, 12.7%, 8.7% and 19.6% patients by definitions (a) to (d), respectively, with a median time to flare of 71.5 (10.7-235) days, similar to AIRDs. Patients with active IIMs pre-vaccination (OR 1.2; 95% CI 1.03, 1.6, P = 0.025) were prone to flares, while those receiving rituximab (OR 0.3; 95% CI 0.1, 0.7, P = 0.010) and AZA (OR 0.3, 95% CI 0.1, 0.8, P = 0.016) were at lower risk. Female gender and comorbidities predisposed to flares requiring changes in IS. Asthma (OR 1.62; 95% CI 1.05, 2.50, P = 0.028) and higher pain visual analogue score (OR 1.19; 95% CI 1.11, 1.27, P < 0.001) were associated with disparity between self-reported and IS-denoted flares.
Conclusion: A diagnosis of IIMs confers an equal risk of flares in the post-COVID-19 vaccination period to AIRDs, with active disease, female gender and comorbidities conferring a higher risk. Disparity between patient- and physician-reported outcomes represents a future avenue for exploration.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/600005
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.