Olivia T Laniak, T. Winans, Akshay Patel, Joy Park, Andras Perl
Despite being some of the most anecdotally well-known roads to pathogenesis, the mechanisms governing autoimmune rheumatic diseases are not yet fully understood. The overactivation of the cellular immune system and the characteristic development of autoantibodies have been linked to oxidative stress. Typical clinical manifestations, such as joint swelling and deformities and inflammation of the skin and internal organs, have also been connected directly or indirectly to redox mechanisms. The differences in generation and restraint of oxidative stress provide compelling evidence for the broad variety in pathology among rheumatic diseases and explain some of the common triggers and discordant manifestations in these diseases. Growing evidence of redox mechanisms in pathogenesis has provided a broad array of new potential therapeutic targets. Here, we explore the mechanisms by which oxidative stress is generated, explore its roles in autoimmunity and end-organ damage, and discuss how individual rheumatic diseases exhibit unique features that offer targets for therapeutic interventions.
{"title":"Redox Pathogenesis in Rheumatic Diseases.","authors":"Olivia T Laniak, T. Winans, Akshay Patel, Joy Park, Andras Perl","doi":"10.1002/acr2.11668","DOIUrl":"https://doi.org/10.1002/acr2.11668","url":null,"abstract":"Despite being some of the most anecdotally well-known roads to pathogenesis, the mechanisms governing autoimmune rheumatic diseases are not yet fully understood. The overactivation of the cellular immune system and the characteristic development of autoantibodies have been linked to oxidative stress. Typical clinical manifestations, such as joint swelling and deformities and inflammation of the skin and internal organs, have also been connected directly or indirectly to redox mechanisms. The differences in generation and restraint of oxidative stress provide compelling evidence for the broad variety in pathology among rheumatic diseases and explain some of the common triggers and discordant manifestations in these diseases. Growing evidence of redox mechanisms in pathogenesis has provided a broad array of new potential therapeutic targets. Here, we explore the mechanisms by which oxidative stress is generated, explore its roles in autoimmunity and end-organ damage, and discuss how individual rheumatic diseases exhibit unique features that offer targets for therapeutic interventions.","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":"10 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140654102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Andréasson, T. Olofsson, V. Lagishetty, Z. Alrawi, Eline Klaassens, S. Holster, R. Hesselstrand, Jonathan P Jacobs, J. Wallman, E. Volkmann
OBJECTIVE Emerging research suggests that rheumatoid arthritis (RA) is associated with intestinal dysbiosis. This prospective pilot study evaluates changes in intestinal microbial composition in patients with RA initiating treatment with either methotrexate (MTX) or a tumor necrosis factor inhibitor (TNFi). METHODS Consecutive patients, fulfilling the 2010 American College of Rheumatology/EULAR classification criteria for RA, who started treatment with either MTX or TNFi delivered a stool sample upon initiation of immunosuppression and 3 months later. A 16S ribosomal RNA gene-based validated microbiota test (GA-map Dysbiosis Index Score [DIS], Genetic Analysis, Oslo, Norway) was used to evaluate for the presence and degree of dysbiosis. Fecal levels of Prevotella copri (P. copri) were analyzed by custom-made quantitative polymerase chain reaction. Changes in microbial composition were analyzed in relation to changes in disease activity, as measured by the disease activity score based on 28-joint counts, using C-reactive protein. RESULTS At baseline, dysbiosis was present in 33 of 50 (66%) participants and more common in participants with more than 2 years of disease duration (P = 0.019). At the 3-month follow-up, 27 of 50 (54%) were good treatment responders and the DIS had improved in 14 of 50 (28%). Participants initiating TNFi more often exhibited improvement in the DIS compared with those initiating MTX (P = 0.031). P. copri was identified in 32 of 50 (64%) at baseline. An improvement in disease activity score based on 28-joint counts, using C-reactive protein was associated with a simultaneous decrease in P. copri abundance (rs = 0.30, P = 0.036). CONCLUSION This study affirms that dysbiosis is a feature of RA. Although patients were not randomized to MTX or TNFi, the findings suggest that specific therapies may differentially modulate the gastrointestinal microbiota in RA. The association between P. copri and treatment response requires further study.
{"title":"Treatment for Rheumatoid Arthritis Associated With Alterations in the Gastrointestinal Microbiota.","authors":"K. Andréasson, T. Olofsson, V. Lagishetty, Z. Alrawi, Eline Klaassens, S. Holster, R. Hesselstrand, Jonathan P Jacobs, J. Wallman, E. Volkmann","doi":"10.1002/acr2.11673","DOIUrl":"https://doi.org/10.1002/acr2.11673","url":null,"abstract":"OBJECTIVE\u0000Emerging research suggests that rheumatoid arthritis (RA) is associated with intestinal dysbiosis. This prospective pilot study evaluates changes in intestinal microbial composition in patients with RA initiating treatment with either methotrexate (MTX) or a tumor necrosis factor inhibitor (TNFi).\u0000\u0000\u0000METHODS\u0000Consecutive patients, fulfilling the 2010 American College of Rheumatology/EULAR classification criteria for RA, who started treatment with either MTX or TNFi delivered a stool sample upon initiation of immunosuppression and 3 months later. A 16S ribosomal RNA gene-based validated microbiota test (GA-map Dysbiosis Index Score [DIS], Genetic Analysis, Oslo, Norway) was used to evaluate for the presence and degree of dysbiosis. Fecal levels of Prevotella copri (P. copri) were analyzed by custom-made quantitative polymerase chain reaction. Changes in microbial composition were analyzed in relation to changes in disease activity, as measured by the disease activity score based on 28-joint counts, using C-reactive protein.\u0000\u0000\u0000RESULTS\u0000At baseline, dysbiosis was present in 33 of 50 (66%) participants and more common in participants with more than 2 years of disease duration (P = 0.019). At the 3-month follow-up, 27 of 50 (54%) were good treatment responders and the DIS had improved in 14 of 50 (28%). Participants initiating TNFi more often exhibited improvement in the DIS compared with those initiating MTX (P = 0.031). P. copri was identified in 32 of 50 (64%) at baseline. An improvement in disease activity score based on 28-joint counts, using C-reactive protein was associated with a simultaneous decrease in P. copri abundance (rs = 0.30, P = 0.036).\u0000\u0000\u0000CONCLUSION\u0000This study affirms that dysbiosis is a feature of RA. Although patients were not randomized to MTX or TNFi, the findings suggest that specific therapies may differentially modulate the gastrointestinal microbiota in RA. The association between P. copri and treatment response requires further study.","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":"105 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Kurose, T. Satoh, A. Kurose, Y. Ishibashi, M. Uzuki, Y. Wakai, Tomoyuki Sasaki, K. Ishida, K. Ogasawara, T. Sawai
OBJECTIVE We previously reported that CD14+ dendritic-shaped cells exhibit a dendritic morphology, engage in pseudo-emperipolesis with lymphocytes, and express CD90 in the perivascular areas of rheumatoid arthritis (RA) synovial tissues. However, it remains unclear whether these CD14highCD90intermediate(int) cells function as dendritic cells. In this study, we investigated the dendritic cell-differentiation potential of CD14highCD90int cells. METHODS The localization and number of CD14highCD90int cells in RA synovial tissues and peripheral blood were examined. The dendritic cell-differentiation potential of CD14highCD90int cells was examined by measuring interleukin-6 and tumor necrosis factor-α levels in the supernatant and CD83 and human leukocyte antigen (HLA)-DR expression in the cells after induction of dendritic cell differentiation. Synovial cells were co-cultured with lymphocytes, and the activation of these cells was examined. RESULTS CD14highCD90int cells were abundant in RA synovial tissues, including the sublining layer and the pannus areas. Patients with untreated and active RA had significantly higher percentages of CD14highCD90int cells in the peripheral blood and synovial tissues. In RA synovial cells, inflammatory cytokine levels increased with dendritic cell-differentiation culture, but CD83 and HLA-DR expression were significantly increased in the CD14highCD90int cell group. When co-cultured with lymphocytes, cell numbers and inflammatory cytokine levels significantly increased in both groups of synovial cells after dendritic cell induction. CONCLUSION CD14+ cells migrate and spread from the circulating blood to RA synovial tissues while expressing CD90, and CD14highCD90int cells in contact with lymphocytes differentiate into HLA-DR+ dendritic cells, which contribute to chronic inflammation in RA.
目的我们以前曾报道过，CD14+树突状细胞表现出树突状形态，与淋巴细胞发生假性过继，并在类风湿性关节炎（RA）滑膜组织的血管周围区域表达 CD90。然而，这些 CD14highCD90 中间（int）细胞是否具有树突状细胞的功能仍不清楚。本研究调查了 CD14highCD90int 细胞的树突状细胞分化潜能。方法：研究人员检测了 RA 滑膜组织和外周血中 CD14highCD90int 细胞的定位和数量。通过测量上清液中白细胞介素-6和肿瘤坏死因子-α的水平以及诱导树突状细胞分化后细胞中CD83和人类白细胞抗原（HLA）-DR的表达，检测CD14highCD90int细胞的树突状细胞分化潜能。结果CD14高CD90int细胞在RA滑膜组织中含量丰富，包括衬底层和脓疱区。未经治疗的活动性 RA 患者外周血和滑膜组织中 CD14highCD90int 细胞的比例明显更高。在 RA 滑膜细胞中，炎性细胞因子水平随树突状细胞分化培养而增加，但 CD14highCD90int 细胞组的 CD83 和 HLA-DR 表达明显增加。结论CD14+细胞从循环血液中迁移并扩散到RA滑膜组织，同时表达CD90，与淋巴细胞接触的CD14highCD90int细胞分化为HLA-DR+树突状细胞，从而导致RA慢性炎症。
{"title":"CD14+ Dendritic-Shaped Cells Functioning as Dendritic Cells in Rheumatoid Arthritis Synovial Tissues.","authors":"R. Kurose, T. Satoh, A. Kurose, Y. Ishibashi, M. Uzuki, Y. Wakai, Tomoyuki Sasaki, K. Ishida, K. Ogasawara, T. Sawai","doi":"10.1002/acr2.11670","DOIUrl":"https://doi.org/10.1002/acr2.11670","url":null,"abstract":"OBJECTIVE\u0000We previously reported that CD14+ dendritic-shaped cells exhibit a dendritic morphology, engage in pseudo-emperipolesis with lymphocytes, and express CD90 in the perivascular areas of rheumatoid arthritis (RA) synovial tissues. However, it remains unclear whether these CD14highCD90intermediate(int) cells function as dendritic cells. In this study, we investigated the dendritic cell-differentiation potential of CD14highCD90int cells.\u0000\u0000\u0000METHODS\u0000The localization and number of CD14highCD90int cells in RA synovial tissues and peripheral blood were examined. The dendritic cell-differentiation potential of CD14highCD90int cells was examined by measuring interleukin-6 and tumor necrosis factor-α levels in the supernatant and CD83 and human leukocyte antigen (HLA)-DR expression in the cells after induction of dendritic cell differentiation. Synovial cells were co-cultured with lymphocytes, and the activation of these cells was examined.\u0000\u0000\u0000RESULTS\u0000CD14highCD90int cells were abundant in RA synovial tissues, including the sublining layer and the pannus areas. Patients with untreated and active RA had significantly higher percentages of CD14highCD90int cells in the peripheral blood and synovial tissues. In RA synovial cells, inflammatory cytokine levels increased with dendritic cell-differentiation culture, but CD83 and HLA-DR expression were significantly increased in the CD14highCD90int cell group. When co-cultured with lymphocytes, cell numbers and inflammatory cytokine levels significantly increased in both groups of synovial cells after dendritic cell induction.\u0000\u0000\u0000CONCLUSION\u0000CD14+ cells migrate and spread from the circulating blood to RA synovial tissues while expressing CD90, and CD14highCD90int cells in contact with lymphocytes differentiate into HLA-DR+ dendritic cells, which contribute to chronic inflammation in RA.","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140689115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Toni J F Michael, Daniel F. B. Wright, Jian S Chan, M. Coleshill, Parisa Aslani, Dyfrig A. Hughes, Richard O Day, Sophie L Stocker
OBJECTIVE Self-monitored point-of-care urate-measuring devices are an underexplored strategy to improve adherence to urate-lowering therapy and clinical outcomes in gout. This study observed patient-led urate self-monitoring practice and assessed its influence on allopurinol adherence, urate control, and health-related quality of life. METHODS People with gout (n = 31) and prescribed allopurinol self-monitored their urate concentrations (HumaSens2.0plus) at baseline and thereafter monthly for 12 months (3 months per quarter). Adherence to allopurinol was measured using medication event monitoring technology (Medication Event Monitoring System cap). Time spent below the target urate concentration (<0.36 mmol/L) was determined. Health-related quality of life was measured using a survey (EuroQoL EQ-5D-5L). Gout flares were recorded. Two-tailed Spearman correlation and the Wilcoxon matched-pairs signed-rank test (P < 0.05) were used for statistical comparisons. RESULTS Most participants were male (94%) and had urate concentrations below the target (74%) at baseline. Overall, seven participants demonstrated repeated periods of "missed doses" (two or fewer allopurinol doses missed consecutively) and "drug holidays" (three or more missed doses). Most participants (94%) persisted with allopurinol. Time spent within the target urate concentration increased 1.3-fold (from 79% to 100%; P = 0.346), and the incidence of gout flares decreased 1.6-fold (from 8 to 5; P = 0.25) in the final quarter compared to that in the first quarter of the study. Health-related quality of life was reduced for participants reporting at least one gout flare (median utility values 0.9309 vs 0.9563, P = 0.04). CONCLUSION Patient-led urate self-monitoring may support the maintenance of allopurinol adherence and improve urate control, thus reducing the incidence of gout flares. Further research on patient-led urate self-monitoring in a randomized controlled study is warranted.
{"title":"Patient-Led Urate Self-Monitoring to Improve Clinical Outcomes in People With Gout: A Feasibility Study.","authors":"Toni J F Michael, Daniel F. B. Wright, Jian S Chan, M. Coleshill, Parisa Aslani, Dyfrig A. Hughes, Richard O Day, Sophie L Stocker","doi":"10.1002/acr2.11666","DOIUrl":"https://doi.org/10.1002/acr2.11666","url":null,"abstract":"OBJECTIVE\u0000Self-monitored point-of-care urate-measuring devices are an underexplored strategy to improve adherence to urate-lowering therapy and clinical outcomes in gout. This study observed patient-led urate self-monitoring practice and assessed its influence on allopurinol adherence, urate control, and health-related quality of life.\u0000\u0000\u0000METHODS\u0000People with gout (n = 31) and prescribed allopurinol self-monitored their urate concentrations (HumaSens2.0plus) at baseline and thereafter monthly for 12 months (3 months per quarter). Adherence to allopurinol was measured using medication event monitoring technology (Medication Event Monitoring System cap). Time spent below the target urate concentration (<0.36 mmol/L) was determined. Health-related quality of life was measured using a survey (EuroQoL EQ-5D-5L). Gout flares were recorded. Two-tailed Spearman correlation and the Wilcoxon matched-pairs signed-rank test (P < 0.05) were used for statistical comparisons.\u0000\u0000\u0000RESULTS\u0000Most participants were male (94%) and had urate concentrations below the target (74%) at baseline. Overall, seven participants demonstrated repeated periods of \"missed doses\" (two or fewer allopurinol doses missed consecutively) and \"drug holidays\" (three or more missed doses). Most participants (94%) persisted with allopurinol. Time spent within the target urate concentration increased 1.3-fold (from 79% to 100%; P = 0.346), and the incidence of gout flares decreased 1.6-fold (from 8 to 5; P = 0.25) in the final quarter compared to that in the first quarter of the study. Health-related quality of life was reduced for participants reporting at least one gout flare (median utility values 0.9309 vs 0.9563, P = 0.04).\u0000\u0000\u0000CONCLUSION\u0000Patient-led urate self-monitoring may support the maintenance of allopurinol adherence and improve urate control, thus reducing the incidence of gout flares. Further research on patient-led urate self-monitoring in a randomized controlled study is warranted.","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":"130 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140725861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Caratsch, C. Lechtenboehmer, M. Caorsi, Karine Oung, F. Zanchi, Y. Aleman, Ulrich A Walker, Patrick Omoumi, Thomas Hügle
OBJECTIVE Automated machine learning (autoML) platforms allow health care professionals to play an active role in the development of machine learning (ML) algorithms according to scientific or clinical needs. The aim of this study was to develop and evaluate such a model for automated detection and grading of distal hand osteoarthritis (OA). METHODS A total of 13,690 hand radiographs from 2,863 patients within the Swiss Cohort of Quality Management (SCQM) and an external control data set of 346 non-SCQM patients were collected and scored for distal interphalangeal OA (DIP-OA) using the modified Kellgren/Lawrence (K/L) score. Giotto (Learn to Forecast [L2F]) was used as an autoML platform for training two convolutional neural networks for DIP joint extraction and subsequent classification according to the K/L scores. A total of 48,892 DIP joints were extracted and then used to train the classification model. Heatmaps were generated independently of the platform. User experience of a web application as a provisional user interface was investigated by rheumatologists and radiologists. RESULTS The sensitivity and specificity of this model for detecting DIP-OA were 79% and 86%, respectively. The accuracy for grading the correct K/L score was 75%, with a κ score of 0.76. The accuracy per DIP-OA class differed, with 86% for no OA (defined as K/L scores 0 and 1), 71% for a K/L score of 2, 46% for a K/L score of 3, and 67% for a K/L score of 4. Similar values were obtained in an independent external test set. Qualitative and quantitative user experience testing of the web application revealed a moderate to high demand for automated DIP-OA scoring among rheumatologists. Conversely, radiologists expressed a low demand, except for the use of heatmaps. CONCLUSION AutoML platforms are an opportunity to develop clinical end-to-end ML algorithms. Here, automated radiographic DIP-OA detection is both feasible and usable, whereas grading among individual K/L scores (eg, for clinical trials) remains challenging.
{"title":"Detection and Grading of Radiographic Hand Osteoarthritis Using an Automated Machine Learning Platform.","authors":"L. Caratsch, C. Lechtenboehmer, M. Caorsi, Karine Oung, F. Zanchi, Y. Aleman, Ulrich A Walker, Patrick Omoumi, Thomas Hügle","doi":"10.1002/acr2.11665","DOIUrl":"https://doi.org/10.1002/acr2.11665","url":null,"abstract":"OBJECTIVE\u0000Automated machine learning (autoML) platforms allow health care professionals to play an active role in the development of machine learning (ML) algorithms according to scientific or clinical needs. The aim of this study was to develop and evaluate such a model for automated detection and grading of distal hand osteoarthritis (OA).\u0000\u0000\u0000METHODS\u0000A total of 13,690 hand radiographs from 2,863 patients within the Swiss Cohort of Quality Management (SCQM) and an external control data set of 346 non-SCQM patients were collected and scored for distal interphalangeal OA (DIP-OA) using the modified Kellgren/Lawrence (K/L) score. Giotto (Learn to Forecast [L2F]) was used as an autoML platform for training two convolutional neural networks for DIP joint extraction and subsequent classification according to the K/L scores. A total of 48,892 DIP joints were extracted and then used to train the classification model. Heatmaps were generated independently of the platform. User experience of a web application as a provisional user interface was investigated by rheumatologists and radiologists.\u0000\u0000\u0000RESULTS\u0000The sensitivity and specificity of this model for detecting DIP-OA were 79% and 86%, respectively. The accuracy for grading the correct K/L score was 75%, with a κ score of 0.76. The accuracy per DIP-OA class differed, with 86% for no OA (defined as K/L scores 0 and 1), 71% for a K/L score of 2, 46% for a K/L score of 3, and 67% for a K/L score of 4. Similar values were obtained in an independent external test set. Qualitative and quantitative user experience testing of the web application revealed a moderate to high demand for automated DIP-OA scoring among rheumatologists. Conversely, radiologists expressed a low demand, except for the use of heatmaps.\u0000\u0000\u0000CONCLUSION\u0000AutoML platforms are an opportunity to develop clinical end-to-end ML algorithms. Here, automated radiographic DIP-OA detection is both feasible and usable, whereas grading among individual K/L scores (eg, for clinical trials) remains challenging.","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":"11 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauren He, Guy Katz, Akrithi U Garren, Ben Kellogg, Michael Macklin, Courtney Bair, Iman Qaiser, Sabahat Usmani, Meridith Balbach, Benjamin D. Lueck, Matthew Sparks, Lisa Criscione-Schreiber, David L. Leverenz
OBJECTIVE RheumMadness is an online learning collaborative that seeks to actively engage the rheumatology community. The objective of this manuscript is to analyze the educational experience of RheumMadness over two years. METHODS Direct measures of participant engagement were obtained using web-based analytics. An electronic survey was created after the tournament to capture self-reported engagement and educational experience using the Community of Inquiry framework. Data were analyzed according to the following objectives: (1) compare demographics, engagement, and educational experience of participants between 2021 and 2022; (2) describe the educational experience of those who created scouting reports; (3) explore the impact of RheumMadness on early learners (medical students and residents). RESULTS Compared with 2021, the 2022 tournament had more participants who submitted a bracket, more early learners, and more scouting report creators. Self-reported engagement and educational experience was high in both years of the tournament among all participants. Over 85% of scouting report creators reported that making a report was a fun and valuable learning experience. Early learners reported significantly higher levels of knowledge integration, sense of belonging in the rheumatology community, social connection, and overall learning experience compared with more advanced participants. Eighty-five percent of early learners reported that RheumMadness increased their interest in rheumatology. CONCLUSION RheumMadness expanded from 2021 to 2022, engaging more participants in collaborative learning. Our results demonstrate that RheumMadness is particularly impactful among medical students and residents by helping them explore rheumatology topics and connect with the rheumatology community.
{"title":"RheumMadness Over Two Years: Engaging Participants in Active Learning and Connecting Early Trainees to the Rheumatology Community.","authors":"Lauren He, Guy Katz, Akrithi U Garren, Ben Kellogg, Michael Macklin, Courtney Bair, Iman Qaiser, Sabahat Usmani, Meridith Balbach, Benjamin D. Lueck, Matthew Sparks, Lisa Criscione-Schreiber, David L. Leverenz","doi":"10.1002/acr2.11661","DOIUrl":"https://doi.org/10.1002/acr2.11661","url":null,"abstract":"OBJECTIVE\u0000RheumMadness is an online learning collaborative that seeks to actively engage the rheumatology community. The objective of this manuscript is to analyze the educational experience of RheumMadness over two years.\u0000\u0000\u0000METHODS\u0000Direct measures of participant engagement were obtained using web-based analytics. An electronic survey was created after the tournament to capture self-reported engagement and educational experience using the Community of Inquiry framework. Data were analyzed according to the following objectives: (1) compare demographics, engagement, and educational experience of participants between 2021 and 2022; (2) describe the educational experience of those who created scouting reports; (3) explore the impact of RheumMadness on early learners (medical students and residents).\u0000\u0000\u0000RESULTS\u0000Compared with 2021, the 2022 tournament had more participants who submitted a bracket, more early learners, and more scouting report creators. Self-reported engagement and educational experience was high in both years of the tournament among all participants. Over 85% of scouting report creators reported that making a report was a fun and valuable learning experience. Early learners reported significantly higher levels of knowledge integration, sense of belonging in the rheumatology community, social connection, and overall learning experience compared with more advanced participants. Eighty-five percent of early learners reported that RheumMadness increased their interest in rheumatology.\u0000\u0000\u0000CONCLUSION\u0000RheumMadness expanded from 2021 to 2022, engaging more participants in collaborative learning. Our results demonstrate that RheumMadness is particularly impactful among medical students and residents by helping them explore rheumatology topics and connect with the rheumatology community.","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":"43 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140751998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01Epub Date: 2023-08-31DOI: 10.1002/acr2.11607
Mahmut S Kaymakci, Mohanad M Elfishawi, Matthew J Koster, Kenneth J Warrington
{"title":"Clinical Image: Scleral melt in granulomatosis with polyangiitis.","authors":"Mahmut S Kaymakci, Mohanad M Elfishawi, Matthew J Koster, Kenneth J Warrington","doi":"10.1002/acr2.11607","DOIUrl":"10.1002/acr2.11607","url":null,"abstract":"","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":" ","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10789297/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10483785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01Epub Date: 2023-08-28DOI: 10.1002/acr2.11597
Prashant Kaushik, David L Ray, Jon D Wilson
{"title":"Clinical Images: Sporadic inclusion body myositis in American Indian/Alaska Native patient with overlap of rheumatoid arthritis and Sjögren disease.","authors":"Prashant Kaushik, David L Ray, Jon D Wilson","doi":"10.1002/acr2.11597","DOIUrl":"10.1002/acr2.11597","url":null,"abstract":"","PeriodicalId":7084,"journal":{"name":"ACR Open Rheumatology","volume":" ","pages":"631"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10716806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10108916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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