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Objective: Flares of autoimmune rheumatic diseases (AIRDs) following COVID-19 vaccination are a particular concern in vaccine-hesitant individuals. Therefore, we investigated the incidence, predictors and patterns of flares following vaccination in individuals living with AIRDs, using global COVID-19 Vaccination in Autoimmune Diseases (COVAD) surveys.
Methods: The COVAD surveys were used to extract data on flare demographics, comorbidities, COVID-19 history, and vaccination details for patients with AIRDs. Flares following vaccination were identified as patient-reported (a), increased immunosuppression (b), clinical exacerbations (c) and worsening of PROMIS scores (d). We studied flare characteristics and used regression models to differentiate flares among various AIRDs.
Results: Of 15 165 total responses, the incidence of flares in 3453 patients with AIRDs was 11.3%, 14.8%, 9.5% and 26.7% by definitions a-d, respectively. There was moderate agreement between patient-reported and immunosuppression-defined flares (K = 0.403, P = 0.022). Arthritis (61.6%) and fatigue (58.8%) were the most commonly reported symptoms. Self-reported flares were associated with higher comorbidities (P = 0.013), mental health disorders (MHDs) (P < 0.001) and autoimmune disease multimorbidity (AIDm) (P < 0.001).In regression analysis, the presence of AIDm [odds ratio (OR) = 1.4; 95% CI: 1.1, 1.7; P = 0.003), or a MHD (OR = 1.7; 95% CI: 1.1, 2.6; P = 0.007), or being a Moderna vaccine recipient (OR = 1.5; 95% CI: 1.09, 2.2; P = 0.014) were predictors of flares. Use of MMF (OR = 0.5; 95% CI: 0.3, 0.8; P = 0.009) and glucocorticoids (OR = 0.6; 95% CI: 0.5, 0.8; P = 0.003) were protective.A higher frequency of patients with AIRDs reported overall active disease post-vaccination compared with before vaccination (OR = 1.3; 95% CI: 1.1, 1.5; P < 0.001).
Conclusion: Flares occur in nearly 1 in 10 individuals with AIRDs after COVID vaccination; people with comorbidities (especially AIDm), MHDs and those receiving the Moderna vaccine are particularly vulnerable. Future avenues include exploring flare profiles and optimizing vaccine strategies for this group.
Flares in autoimmune rheumatic diseases in the post-COVID-19 vaccination period-a cross-sequential study based on COVAD surveys
Kshitij Jagtap;R Naveen;Jessica Day;Parikshit Sen;Binit Vaidya;Arvind Nune;Elena Nikiphorou;Ai Lyn Tan;Vishwesh Agarwal;Sreoshy Saha;Samuel Katsuyuki Shinjo;Nelly Ziade;Mrudula Joshi;Tsvetelina Velikova;Marcin Milchert;Ioannis Parodis;Abraham Edgar Gracia-Ramos;Lorenzo Cavagna;Masataka Kuwana;Johannes Knitza;Ashima Makol;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 Akawatcharangura Goo;Russka Shumnalieva;Yi-Ming Chen;Leonardo Santos Hoff;Lina El Kibbi;Hussein Halabi;Syahrul Sazliyana Shaharir;A T M Tanveer Hasan;Dzifa Dey;Carlos Enrique Toro Gutiérrez;Carlo Vinicio Caballero-Uribe;James B Lilleker;Babur Salim;Tamer Gheita;Tulika Chatterjee;Miguel A Saavedra;Oliver Distler;COVAD Study Group;Hector Chinoy;Vikas Agarwal;Rohit Aggarwal;Latika Gupta;Zoltán Griger;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;Manesh Manoj M;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;Lilith Stange Nunez;Cristian Vergara M;Jossiell Then Báez;Hugo Alonzo;Carlos Benito Santiago Pastelin;Rodrigo García Salinas;Alejandro Quiñónez Obiols;Nilmo Chávez;Andrea Bran Ordóñez;Sandra Argueta;Gil Alberto Reyes Llerena;Radames Sierra-Zorita;Dina Arrieta;Eduardo Romero Hidalgo;Ricardo Saenz;Idania Escalante M;Wendy Calapaqui;Ivonne Quezada;and Gabriela Arredondo.
2023-01-01
Abstract
Objective: Flares of autoimmune rheumatic diseases (AIRDs) following COVID-19 vaccination are a particular concern in vaccine-hesitant individuals. Therefore, we investigated the incidence, predictors and patterns of flares following vaccination in individuals living with AIRDs, using global COVID-19 Vaccination in Autoimmune Diseases (COVAD) surveys.
Methods: The COVAD surveys were used to extract data on flare demographics, comorbidities, COVID-19 history, and vaccination details for patients with AIRDs. Flares following vaccination were identified as patient-reported (a), increased immunosuppression (b), clinical exacerbations (c) and worsening of PROMIS scores (d). We studied flare characteristics and used regression models to differentiate flares among various AIRDs.
Results: Of 15 165 total responses, the incidence of flares in 3453 patients with AIRDs was 11.3%, 14.8%, 9.5% and 26.7% by definitions a-d, respectively. There was moderate agreement between patient-reported and immunosuppression-defined flares (K = 0.403, P = 0.022). Arthritis (61.6%) and fatigue (58.8%) were the most commonly reported symptoms. Self-reported flares were associated with higher comorbidities (P = 0.013), mental health disorders (MHDs) (P < 0.001) and autoimmune disease multimorbidity (AIDm) (P < 0.001).In regression analysis, the presence of AIDm [odds ratio (OR) = 1.4; 95% CI: 1.1, 1.7; P = 0.003), or a MHD (OR = 1.7; 95% CI: 1.1, 2.6; P = 0.007), or being a Moderna vaccine recipient (OR = 1.5; 95% CI: 1.09, 2.2; P = 0.014) were predictors of flares. Use of MMF (OR = 0.5; 95% CI: 0.3, 0.8; P = 0.009) and glucocorticoids (OR = 0.6; 95% CI: 0.5, 0.8; P = 0.003) were protective.A higher frequency of patients with AIRDs reported overall active disease post-vaccination compared with before vaccination (OR = 1.3; 95% CI: 1.1, 1.5; P < 0.001).
Conclusion: Flares occur in nearly 1 in 10 individuals with AIRDs after COVID vaccination; people with comorbidities (especially AIDm), MHDs and those receiving the Moderna vaccine are particularly vulnerable. Future avenues include exploring flare profiles and optimizing vaccine strategies for this group.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/600006
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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.