<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10(6)</volume><submitter>Furer V</submitter><pubmed_abstract>Treatment with rituximab (RTX) blunts SARS-CoV-2 vaccination-induced humoral response. We sought to identify predictors of a positive immunogenic response to the BNT162b2 mRNA vaccine in patients with autoimmune inflammatory rheumatic diseases (AIIRD) treated with RTX (AIIRD-RTX). We analyzed 108 AIIRD-RTX patients and 122 immunocompetent controls vaccinated with BNT162b2 mRNA participating in a multicenter vaccination study. Immunogenicity was defined by positive anti-SARS-CoV-2 S1/S2 IgG. We used a stepwise backward multiple logistic regression to identify predicting factors for a positive immunogenic response to vaccination and develop a predicting calculator, further validated in an independent cohort of AIIRD-RTX BNT162b2 mRNA vaccinated patients (&lt;i>n&lt;/i> = 48). AIIRD-RTX patients who mounted a seropositive immunogenic response significantly differed from patients who did not by a lower number of RTX courses (median (range) 3 (1-10) vs. 5 (1-15), &lt;i>p&lt;/i> = 0.007; lower cumulative RTX dose (mean ± SD) 6943.11 ± 5975.74 vs. 9780.95 ± 7240.12 mg, &lt;i>p&lt;/i> = 0.033; higher IgG level prior to last RTX course (mean ± SD), 1189.78 ± 576.28 vs. 884.33 ± 302.31 mg/dL, &lt;i>p&lt;/i> = 0.002), and extended interval between RTX treatment and vaccination, 469.82 ± 570.39 vs. 162.08 ± 160.12 days, &lt;i>p&lt;/i> = 0.0009, respectively. Patients with ANCA-associated vasculitis and inflammatory myositis had a low likelihood of a seropositive immunogenic response compared to patients with rheumatoid arthritis, odds ratio (OR) 0.209, 95% confidence interval (CI) 0.046-0.96, &lt;i>p&lt;/i> = 0.044 and OR 0.189, 95% CI 0.036-0.987, &lt;i>p&lt;/i> = 0.048, respectively. Based on these findings, we constructed a calculator predicting the probability of a seropositive immunogenic response following BNT162b2 mRNA vaccination which performed with 90.5% sensitivity, 59.3% specificity, and 63.3% positive and 88.9% negative predictive values. In summary, the predicting calculator could guide clinicians for optimal timing of BNT162b2 mRNA vaccination in AIIRD-RTX patients.</pubmed_abstract><journal>Vaccines</journal><pagination>901</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9229869</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Predictors of Immunogenic Response to the BNT162b2 mRNA COVID-19 Vaccination in Patients with Autoimmune Inflammatory Rheumatic Diseases Treated with Rituximab.</pubmed_title><pmcid>PMC9229869</pmcid><pubmed_authors>Gazitt T</pubmed_authors><pubmed_authors>Nevo S</pubmed_authors><pubmed_authors>Kharouf F</pubmed_authors><pubmed_authors>Balbir-Gurman A</pubmed_authors><pubmed_authors>Broyde A</pubmed_authors><pubmed_authors>Levartovsky D</pubmed_authors><pubmed_authors>Peleg H</pubmed_authors><pubmed_authors>Braun-Moscovici Y</pubmed_authors><pubmed_authors>Higazi N</pubmed_authors><pubmed_authors>Kaufman I</pubmed_authors><pubmed_authors>Elias M</pubmed_authors><pubmed_authors>Eviatar T</pubmed_authors><pubmed_authors>Zisapel M</pubmed_authors><pubmed_authors>Polachek A</pubmed_authors><pubmed_authors>Feld J</pubmed_authors><pubmed_authors>Elalouf O</pubmed_authors><pubmed_authors>Furer V</pubmed_authors><pubmed_authors>Zisman D</pubmed_authors><pubmed_authors>Haddad A</pubmed_authors><pubmed_authors>Pel S</pubmed_authors><pubmed_authors>Paran D</pubmed_authors><pubmed_authors>Elkayam O</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predictors of Immunogenic Response to the BNT162b2 mRNA COVID-19 Vaccination in Patients with Autoimmune Inflammatory Rheumatic Diseases Treated with Rituximab.</name><description>Treatment with rituximab (RTX) blunts SARS-CoV-2 vaccination-induced humoral response. We sought to identify predictors of a positive immunogenic response to the BNT162b2 mRNA vaccine in patients with autoimmune inflammatory rheumatic diseases (AIIRD) treated with RTX (AIIRD-RTX). We analyzed 108 AIIRD-RTX patients and 122 immunocompetent controls vaccinated with BNT162b2 mRNA participating in a multicenter vaccination study. Immunogenicity was defined by positive anti-SARS-CoV-2 S1/S2 IgG. We used a stepwise backward multiple logistic regression to identify predicting factors for a positive immunogenic response to vaccination and develop a predicting calculator, further validated in an independent cohort of AIIRD-RTX BNT162b2 mRNA vaccinated patients (&lt;i>n&lt;/i> = 48). AIIRD-RTX patients who mounted a seropositive immunogenic response significantly differed from patients who did not by a lower number of RTX courses (median (range) 3 (1-10) vs. 5 (1-15), &lt;i>p&lt;/i> = 0.007; lower cumulative RTX dose (mean ± SD) 6943.11 ± 5975.74 vs. 9780.95 ± 7240.12 mg, &lt;i>p&lt;/i> = 0.033; higher IgG level prior to last RTX course (mean ± SD), 1189.78 ± 576.28 vs. 884.33 ± 302.31 mg/dL, &lt;i>p&lt;/i> = 0.002), and extended interval between RTX treatment and vaccination, 469.82 ± 570.39 vs. 162.08 ± 160.12 days, &lt;i>p&lt;/i> = 0.0009, respectively. Patients with ANCA-associated vasculitis and inflammatory myositis had a low likelihood of a seropositive immunogenic response compared to patients with rheumatoid arthritis, odds ratio (OR) 0.209, 95% confidence interval (CI) 0.046-0.96, &lt;i>p&lt;/i> = 0.044 and OR 0.189, 95% CI 0.036-0.987, &lt;i>p&lt;/i> = 0.048, respectively. Based on these findings, we constructed a calculator predicting the probability of a seropositive immunogenic response following BNT162b2 mRNA vaccination which performed with 90.5% sensitivity, 59.3% specificity, and 63.3% positive and 88.9% negative predictive values. In summary, the predicting calculator could guide clinicians for optimal timing of BNT162b2 mRNA vaccination in AIIRD-RTX patients.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jun</publication><modification>2025-04-19T17:50:58.211Z</modification><creation>2025-02-19T01:34:33.371Z</creation></dates><accession>S-EPMC9229869</accession><cross_references><pubmed>35746508</pubmed><doi>10.3390/vaccines10060901</doi></cross_references></HashMap>