Attenzione: i dati modificati non sono ancora stati salvati. Per confermare inserimenti o cancellazioni di voci è necessario confermare con il tasto SALVA/INSERISCI in fondo alla pagina
IRIS Institutional Research Information System - OPENBS Open Archive UniBS
COVID-19 has been suggested as a possible trigger of disease flares in patients with rheumatoid arthritis (RA). However, factors associated with disease flares remain unknown. This study aimed to identify factors associated with breakthrough infection (BIs) and disease flares in patients with RA following COVID-19. We analysed data from RA patients who participated in the COVID-19 vaccination in autoimmune diseases (COVAD) study. Demographic data, patient-reported outcomes, comorbidities, pharmacologic treatment and details regarding disease flares were extracted from the COVAD database. Factors associated with disease flare-ups were determined by multivariate logistic regression analysis. The analysis comprised 1928 patients with RA who participated in the COVAD study. Younger age, Caucasian ethnicity, comorbidities with obstructive chronic pulmonary disease and asthma were associated with COVID-19 breakthrough infection. Moreover, younger age (odds ratio (OR): 0.98, 95% CI 0.96-0.99, p < 0.001), ethnicity other than Asian, past history of tuberculosis (OR: 3.80, 95% CI 1.12-12.94, p = 0.033), treatment with methotrexate (OR: 2.55, 95% CI: 1.56-4.17, p < 0.001), poor global physical health (OR: 1.07, 95% CI 1.00-1.15, p = 0.044) and mental health (OR: 0.91, 95% CI 0.87-0.95, p < 0.001) were independent factors associated disease flares in patients with RA. Our study highlights the impact of socio-demographic factors, clinical characteristics and mental health on disease flares in patients with RA. These insights may help determine relevant strategies to proactively manage RA patients at risk of flares.
Breakthrough SARS-CoV-2 infection and disease flares in patients with rheumatoid arthritis: result from COVAD e-survey study
Cristiana Sieiro Santos;Jun-Peng Chen;Elena Nikiphorou;Chi-Wei Tseng;Carlos Enrique Toro Gutiérrez;Ai Lyn Tan;Arvind Nune;Esha Kadam;Masataka Kuwana;Jessica Day;Sreoshy Saha;Tsvetelina Velikova;James B. Lilleker;Carlo V. Caballero-Uribe;Parikshit Sen;Hector Chinoy;Rohit Aggarwal;Vikas Agarwal;Latika Gupta;Yi-Ming Chen;COVAD study group Mahnoor Javaid;Naitica Darooka;Samuel Katsuyuki Shinjo;Ioannis Parodis;Abraham Edgar Gracia-Ramos;Johannes Knitza;Aarat Patel;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;Russka Shumnalieva;Leonardo Santos Hoff;Lina El Kibbi;Hussein Halabi;Binit Vaidya;ATMTanveer Hasan;Babur Salim;Tamer Gheita;Miguel A. Saavedra;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;MManesh 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;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;Uyi Ima-Edomwonyi;Ibukunoluwa Dedeke;Emorinken Airenakho;Nwankwo Henry Madu;Abubakar Yerima;Hakeem Olaosebikan;A. Becky;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;Lilith Stange Nunez;MCristian 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;MIdania Escalante;Wendy Calapaqui;Ivonne Quezada;Gabriela Arredondo;Akira Yoshida;Keina Yomono;John D. Pauling;Ashima Makol;Tulika Chatterjee;Wanruchada Katchamart;Phonpen Akarawatcharangura Goo;Dzifa Dey;Lorenzo Cavagna;Marcin Milchert;Nelly Ziade &;Oliver Distler
2024-01-01
Abstract
COVID-19 has been suggested as a possible trigger of disease flares in patients with rheumatoid arthritis (RA). However, factors associated with disease flares remain unknown. This study aimed to identify factors associated with breakthrough infection (BIs) and disease flares in patients with RA following COVID-19. We analysed data from RA patients who participated in the COVID-19 vaccination in autoimmune diseases (COVAD) study. Demographic data, patient-reported outcomes, comorbidities, pharmacologic treatment and details regarding disease flares were extracted from the COVAD database. Factors associated with disease flare-ups were determined by multivariate logistic regression analysis. The analysis comprised 1928 patients with RA who participated in the COVAD study. Younger age, Caucasian ethnicity, comorbidities with obstructive chronic pulmonary disease and asthma were associated with COVID-19 breakthrough infection. Moreover, younger age (odds ratio (OR): 0.98, 95% CI 0.96-0.99, p < 0.001), ethnicity other than Asian, past history of tuberculosis (OR: 3.80, 95% CI 1.12-12.94, p = 0.033), treatment with methotrexate (OR: 2.55, 95% CI: 1.56-4.17, p < 0.001), poor global physical health (OR: 1.07, 95% CI 1.00-1.15, p = 0.044) and mental health (OR: 0.91, 95% CI 0.87-0.95, p < 0.001) were independent factors associated disease flares in patients with RA. Our study highlights the impact of socio-demographic factors, clinical characteristics and mental health on disease flares in patients with RA. These insights may help determine relevant strategies to proactively manage RA patients at risk of flares.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/596006
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo
Citazioni
0
1
0
social impact
Conferma cancellazione
Sei sicuro che questo prodotto debba essere cancellato?
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.