Taussia Boadi, Amar Dhand, Leah Santacroce, Neil Pillai, Komel Safdar, Mia T Chandler, Ariel Childs, Monica Crespo-Bosque, Gina Curry, Mary Dollear, Alice Eggleston, Daniel Erickson, Dieufort Fleurissaint, Denice Garrett, Gail Granville, Tyler Green, Magdalena Hamielec, Elena Losina, Karen Mancera-Cuevas, Mary Ann Nelson, Chisa Nosamiefan, Bisola Ojikutu, Tonya S Roberson, Mary Beth Son, Marie Jacques Toussaint, Michael York, Rosalind Ramsey-Goldman, Candace H Feldman
{"title":"Mapping the Social Network Structure and Composition of Black Individuals with Rheumatic and Musculoskeletal Conditions.","authors":"Taussia Boadi, Amar Dhand, Leah Santacroce, Neil Pillai, Komel Safdar, Mia T Chandler, Ariel Childs, Monica Crespo-Bosque, Gina Curry, Mary Dollear, Alice Eggleston, Daniel Erickson, Dieufort Fleurissaint, Denice Garrett, Gail Granville, Tyler Green, Magdalena Hamielec, Elena Losina, Karen Mancera-Cuevas, Mary Ann Nelson, Chisa Nosamiefan, Bisola Ojikutu, Tonya S Roberson, Mary Beth Son, Marie Jacques Toussaint, Michael York, Rosalind Ramsey-Goldman, Candace H Feldman","doi":"10.1002/acr.80151","DOIUrl":"10.1002/acr.80151","url":null,"abstract":"<p><strong>Objectives: </strong>Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health-related behaviors to inform future community-based, peer-led interventions.</p><p><strong>Methods: </strong>We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social networks of Black individuals with rheumatic conditions in Boston and Chicago. We used egocentric network analyses to quantify network composition, and descriptive statistics and Welch's two-sample t-tests to assess network characteristics and behavioral concordance between participants and their network members.</p><p><strong>Results: </strong>We mapped the social networks of 40 individuals with rheumatic conditions in Boston and Chicago. All participants self-identified as Black, with 6 indicating Hispanic or Latino ethnicity. One participant self-identified as male. Networks had a median size of 10, with 54% of all possible ties present and an average of 5 structurally distinct connections within each network. Boston networks had a larger proportion of kin (71%) compared to those in Chicago (40%). There was greater diversity in sex and education within Boston networks. Chicago networks displayed morelanced strong and weak ties and higher prevalence of health problems within networks. Smoking and drinking behaviors clustered within networks across both sites, which may reflect patterns of behavioral homophily or social influence.</p><p><strong>Conclusions: </strong>Differences in network density, constraint, and diversity highlight structural and relational patterns that may influence how health behaviors develop. They also reveal network configurations that position individuals to act as bridges, introducing new information and behaviors into communities where medical mistrust and systemic inequities undermine health messaging.</p>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148863495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Debendra Pattanaik, Roxanna Sabghi, Govind S Bindra, Syed Raza
{"title":"Variations in the Adult Rheumatology Fellowship Training in the United States: Opportunities and Challenges.","authors":"Debendra Pattanaik, Roxanna Sabghi, Govind S Bindra, Syed Raza","doi":"10.1002/acr.80023","DOIUrl":"10.1002/acr.80023","url":null,"abstract":"<p><strong>Objective: </strong>Adult rheumatology fellowship training programs in the United States exhibit considerable curricular diversity while staying within the framework provided by American College of Rheumatology (ACR) and Accreditation Council for Graduate Medical Education (ACGME). This study aims to characterize the variation in key training components across programs, providing a descriptive overview of current practices.</p><p><strong>Methods: </strong>We developed a set of survey questions using Qualtrics to capture curricular elements among ACGME-accredited adult rheumatology fellowship programs in the United States. One current trainee from each program was invited to participate.</p><p><strong>Results: </strong>We received responses from 91 out of 126 programs available at the time of study, leading to a response rate of 72.2%. Although most programs incorporate core elements recommended by ACGME and ACR, substantial variability was observed in areas such as ambulatory and inpatient training, elective offerings, procedural experience, didactic structure, interdisciplinary exposure, mentorship, and research opportunities.</p><p><strong>Conclusion: </strong>Our findings highlight the diverse approaches taken by rheumatology fellowship programs in structuring their curricula. Rather than advocating for uniformity, this variability may reflect the adaptability of programs to local resources and institutional strengths. Further exploration of how these differences influence educational outcomes could inform future efforts to enhance rheumatology training.</p>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":" ","pages":"1270-1276"},"PeriodicalIF":4.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13511400/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146199963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathryn L. Bacon PhD, David T. Felson MD, MPH, S. Reza Jafarzadeh PhD, Jeffrey M. Hausdorff PhD, Eran Gazit MSc, Ali Guermazi MD, PhD, Frank W. Roemer MD, Neil A. Segal MD, MS, Cora E. Lewis MD, MSPH, Michael C. Nevitt PhD, Deepak Kumar PT, PhD, the Multicenter Osteoarthritis Study Investigators
{"title":"Association of Wearable Sensor–Derived Gait Measures With Cartilage Damage Over Two Years Among Adults With or at Risk of Knee Osteoarthritis","authors":"Kathryn L. Bacon PhD, David T. Felson MD, MPH, S. Reza Jafarzadeh PhD, Jeffrey M. Hausdorff PhD, Eran Gazit MSc, Ali Guermazi MD, PhD, Frank W. Roemer MD, Neil A. Segal MD, MS, Cora E. Lewis MD, MSPH, Michael C. Nevitt PhD, Deepak Kumar PT, PhD, the Multicenter Osteoarthritis Study Investigators","doi":"10.1002/acr.80018","DOIUrl":"10.1002/acr.80018","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Gait affects knee loading. Modifying gait could reduce load and protect against cartilage loss. Our objective is to look for modifiable gait parameters and determine their relation to worsening cartilage damage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We studied participants from the Multicenter Osteoarthritis Study (MOST) ages 45 to 90 years with, or at risk for, knee osteoarthritis (OA). Gait assessment used inertial measurement units (APDM, Inc) on the pelvis and ankles during a 20-m walk. Knee magnetic resonance imaging (MRI) was acquired at baseline and two years later. Cartilage damage worsening was assessed using MRI Osteoarthritis Knee Scores in 14 knee subregions. We examined change (yes/no) in each subregion. We used ensemble machine learning to discriminate subregions with and without cartilage damage. Predictors tested included gait variables, radiographic OA, baseline cartilage damage, age, sex, height, weight, depressive symptoms, and race/clinic site. Data were split 70% training and 30% test sets. We identified the 10 variables that, across 100 repetitions, most frequently contributed to risk of damage. We used G-computation to evaluate causal risk differences of worsening cartilage damage for each variable.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We studied 1,703 participants (mean [±SD] age 61.4 [±9.4] years, 56% female). At two years, 46% had worse cartilage damage in at least one knee subregion. Of gait variables, longer step length was associated with increased risk of damage, especially in knees with more baseline damage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Longer step length was associated with worse cartilage damage over two years. Interventions to shorten step length might reduce risk of worsening cartilage damage.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1229-1238"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146177598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victoria K. Shanmugam MBBS, FRCP, FACR, FACP, CCD, Carmen Ufret-Vincenty PhD, Xinrui Li PhD, Anne Deslattes-Mays PhD, Richard H. Scheuermann PhD, Belinda Seto PhD, Susan Gregurick PhD
{"title":"Common Data Elements in Autoimmune Disease Research","authors":"Victoria K. Shanmugam MBBS, FRCP, FACR, FACP, CCD, Carmen Ufret-Vincenty PhD, Xinrui Li PhD, Anne Deslattes-Mays PhD, Richard H. Scheuermann PhD, Belinda Seto PhD, Susan Gregurick PhD","doi":"10.1002/acr.70026","DOIUrl":"10.1002/acr.70026","url":null,"abstract":"","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1098-1100"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145832908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frank Cai MD, Kirtan Patolia MD, Rebecca D. Sullenger MPH, David Howell MD, PhD, Shih-Hsiu J. Wang MD, PhD, Bangchen Wang MD, PhD, Megan E. B. Clowse MD, MPH, Lena Eder MD, Jeffrey Shen MD
{"title":"The Plot Thickens: From a Classic Presentation to Bilateral Renal Lesions","authors":"Frank Cai MD, Kirtan Patolia MD, Rebecca D. Sullenger MPH, David Howell MD, PhD, Shih-Hsiu J. Wang MD, PhD, Bangchen Wang MD, PhD, Megan E. B. Clowse MD, MPH, Lena Eder MD, Jeffrey Shen MD","doi":"10.1002/acr.80019","DOIUrl":"10.1002/acr.80019","url":null,"abstract":"","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1089-1097"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Didem Saygin MD, Matthew Diller PhD, Varsha Surampudi PhD, Mark Bodkin, Payam Noroozi Farhadi MD, Christopher A. Mecoli MD, MS, Audrey Kessel, Rohit Aggarwal MD, MS, Helene Alexanderson PhD, RPT, Anthony Amato MD, PhD, Christie M. Bartels MD, Olivier Benveniste MD, Michelle Best, Hector Chinoy PhD, FRCP, MSc, Ingrid de Groot, Brian Feldman MD, PhD, Adam M. Huber MD, MSc, Hanna Kim MD, Susan Kim MD, Linda Kobert, Valerie Leclair MD, Manuel Lubinus, Pedro M. Machado MD, PhD, Andrew Mammen MD, PhD, Liza J. McCann MBBS, Tahseen Mozaffar MD, Chester Oddis MD, Julie J. Paik MD, MS, Angelo Ravelli MD, Nicolino Ruperto MD, MPH, Jens Schmidt MD, FEAN, Ellen Werner, Victoria Werth MD, Adam Schiffenbauer MD, Richard H. Scheuermann PhD, Lisa G. Rider MD, for the IMACS Myositis CDE Working Group
{"title":"Standardized Interoperable Data Collection for Myositis Research: Developing Expert Consensus on Common Data Elements for Myositis Outcome Measures","authors":"Didem Saygin MD, Matthew Diller PhD, Varsha Surampudi PhD, Mark Bodkin, Payam Noroozi Farhadi MD, Christopher A. Mecoli MD, MS, Audrey Kessel, Rohit Aggarwal MD, MS, Helene Alexanderson PhD, RPT, Anthony Amato MD, PhD, Christie M. Bartels MD, Olivier Benveniste MD, Michelle Best, Hector Chinoy PhD, FRCP, MSc, Ingrid de Groot, Brian Feldman MD, PhD, Adam M. Huber MD, MSc, Hanna Kim MD, Susan Kim MD, Linda Kobert, Valerie Leclair MD, Manuel Lubinus, Pedro M. Machado MD, PhD, Andrew Mammen MD, PhD, Liza J. McCann MBBS, Tahseen Mozaffar MD, Chester Oddis MD, Julie J. Paik MD, MS, Angelo Ravelli MD, Nicolino Ruperto MD, MPH, Jens Schmidt MD, FEAN, Ellen Werner, Victoria Werth MD, Adam Schiffenbauer MD, Richard H. Scheuermann PhD, Lisa G. Rider MD, for the IMACS Myositis CDE Working Group","doi":"10.1002/acr.80032","DOIUrl":"10.1002/acr.80032","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Recent progress has been made in developing validated myositis outcome measures. However, critical deficiencies remain for data standardization across myositis registries. Although the National Institutes of Health (NIH) Common Data Elements (CDE) Repository has been developed to facilitate standardized data collection and sharing, few myositis-specific CDEs currently exist. We developed CDEs for myositis outcome measures using novel data science strategies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data dictionaries of myositis registries were examined to understand how outcome measures are currently captured. We used the Linked data Modeling Language, an open-source data modeling framework, to develop computable CDEs. After drafting CDEs for myositis core set measures (CSMs), an international conference was held with an expert myositis panel to reach consensus on the coding of CDEs and prioritize additional measures for CDE creation, using Delphi and modified nominal group techniques. This workflow was repeated for the prioritized measures in the second phase.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A workflow was established for CDE creation. CDEs for 10 myositis CSMs were drafted. After receiving comments to improve their coding, universal agreement among participants was reached for CSM CDEs. The prioritized measures for future CDEs included myositis response and classification criteria, damage measures, physical function measures, and Patient-Reported Outcomes Measurement Information System instruments. CDEs for 18 additional measures were discussed at a second consensus conference. Similarly, high agreement rates were achieved, except for flare criteria. Altogether, 852 new CDEs were created for 27 myositis forms and achieved consensus, readying their deposit in the NIH CDE Repository.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Leveraging multispecialty expertise in myositis and its patient communities and data science expertise of the National Library of Medicine, the first myositis-specific CDEs have been developed to accelerate the ability to conduct interoperable myositis clinical studies and therapeutic trials. The workflow established here should also benefit creation of CDEs and data sharing for other autoimmune diseases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1101-1111"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147363835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danielle Dawson MPH, Kurt J. Greenlund PhD, Kamil E. Barbour PhD
{"title":"Systemic Lupus Erythematosus Mortality Among Decedents Aged ≥15 Years—United States, 2018–2023","authors":"Danielle Dawson MPH, Kurt J. Greenlund PhD, Kamil E. Barbour PhD","doi":"10.1002/acr.70042","DOIUrl":"10.1002/acr.70042","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Systemic lupus erythematosus (SLE) is a chronic autoimmune condition that can lead to death. To examine SLE as an underlying and contributing cause of death, the Centers for Disease Control and Prevention (CDC) analyzed 2018 to 2023 mortality data for persons aged ≥15 years overall and by age, sex, race and ethnicity, and region.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Death certificate data for persons aged ≥15 years with any mention of SLE (<i>International Classification of Diseases, Tenth Revision</i> [ICD-10] code M32) were analyzed using the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER) system. We calculated age-adjusted death rates and assessed patterns by sex, age, race and ethnicity, and region. Underlying and contributing causes of death were evaluated using ranked cause-of-death lists and ICD-10 subchapters.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>During 2018 to 2023, 14,936 deaths had any mention of SLE listed on the death certificates. Of these deaths, 6,414 (42.9%) listed SLE as the underlying cause. The age-adjusted SLE mortality rate per million population was greater among females (5.97) than males (1.16), non-Hispanic African American persons (10.70) than persons of other non-Hispanic racial groups (range 2.46–5.62), Hispanic persons (3.98) than non-Hispanic persons (3.59), and people in the South (4.37) than people in other regions. When SLE was listed as a contributing cause of death, the leading underlying causes were heart disease (0.93), cancer (0.56), and COVID-19 (0.51). The overall age-adjusted SLE mortality rates were significantly higher in 2020 and 2021 than in all other study years, indicating the likely impact of the COVID-19 pandemic on SLE mortality.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Overall management of SLE, comorbidities, and infections in patients with SLE, as well as interventions targeting groups (eg, African American persons) disproportionately impacted by SLE, may reduce overall SLE mortality.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1188-1194"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145951430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sophie Hu BSc, Marie-Eve Carrier MSc, Marie-Claude Geoffroy PhD, Meira Golberg MMath, Linda Kwakkenbos PhD, Susan J. Bartlett PhD, Catherine Fortuné, Amy Gietzen, Karen Gottesman BA, Geneviève Guillot PDt, Laura K. Hummers MD, Amanda Lawrie-Jones, Vanessa L. Malcarne PhD, Michelle Richard DSW, Maureen Sauvé BA, Luc Mouthon MD, Andrea Benedetti PhD, Brett D. Thombs PhD, the SPIN Investigators
{"title":"Differential Item Functioning on the Patient Health Questionnaire 8 by Disease Subtype, Language, Sex, and Age Among People With Systemic Sclerosis: A Scleroderma Patient-Centered Intervention Network Cohort Study","authors":"Sophie Hu BSc, Marie-Eve Carrier MSc, Marie-Claude Geoffroy PhD, Meira Golberg MMath, Linda Kwakkenbos PhD, Susan J. Bartlett PhD, Catherine Fortuné, Amy Gietzen, Karen Gottesman BA, Geneviève Guillot PDt, Laura K. Hummers MD, Amanda Lawrie-Jones, Vanessa L. Malcarne PhD, Michelle Richard DSW, Maureen Sauvé BA, Luc Mouthon MD, Andrea Benedetti PhD, Brett D. Thombs PhD, the SPIN Investigators","doi":"10.1002/acr.70041","DOIUrl":"10.1002/acr.70041","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation. The objective of this study was to evaluate differential item functioning (DIF) in items of the 8-item Patient Health Questionnaire (PHQ-8) across SSc subtypes. We also assessed the PHQ-8 for DIF across language (English and French), sex, and age.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Participants enrolled in the Scleroderma Patient-Centered Intervention Network Cohort who completed the PHQ-8 at enrollment between April 2014 and October 2020 were included. Confirmatory factor analysis (CFA) was used to evaluate the unidimensional structure of the PHQ-8, and DIF analyses based on SSc subtype, language, sex, and age were conducted using Multiple Indicators Multiple Causes models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In total, 2,191 participants were included. CFA with several covarying error terms supported a one-factor structure for the PHQ-8 (Tucker–Lewis Index = 0.99, Comparative Fit Index = 0.98, Root Mean Square Error of Approximation = 0.08). We did not identify statistically significant DIF based on SSc subtype. Statistically significant DIF was found in one item for language, one item for sex, and two items for age. However, the effect of DIF on overall PHQ-8 scores was negligeable in all cases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>We did not find evidence that the PHQ-8 performs differently across SSc subtypes, language of administration, sex, and age groups.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1140-1148"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acr.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146008582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Amara Ogbonnaya MD, Sandra G. Williams MD, PhD, Raphael A. Kirou BS, Marissa Lightbourne MD, MPH, Rebecca J. Brown MD, MHSc
{"title":"Rheumatologic Manifestations of Patients With Type B Insulin Resistance","authors":"S. Amara Ogbonnaya MD, Sandra G. Williams MD, PhD, Raphael A. Kirou BS, Marissa Lightbourne MD, MPH, Rebecca J. Brown MD, MHSc","doi":"10.1002/acr.80022","DOIUrl":"10.1002/acr.80022","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objectives of this study were to identify laboratory and clinical features associated with type B insulin resistance (TBIR), a rare condition caused by autoantibodies that inhibit the insulin receptor, most frequently occurring in the setting of systemic lupus erythematosus (SLE), and to increase awareness of this rare, life-threatening condition.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Thirty-eight patients with TBIR who were seen at the National Institutes of Health between 1976 and 2024 were included. Retrospective chart review was performed to assign primary rheumatologic diagnoses, characterize endocrinologic laboratory measurements, and identify clinical and laboratory manifestations of SLE, including hypocomplementemia, cytopenias, and autoantibody seropositivity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>SLE was the most frequent underlying diagnosis (81.5%); one patient each had Sjögren disease and primary biliary cholangitis. Patients were predominantly female (89.5%) and Black/African American (84.2%). The median Systemic Lupus Erythematosus Disease Activity Index 2000 score was 14 (interquartile range 7). High or very high U1 RNP autoantibodies were seen in >50% of patients. TBIR was associated with a high prevalence of acute neuropathies of the seventh and/or eighth cranial nerve (18.4%), angioedema (10.5%), and uveitis (5%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>TBIR can be a rare complication of SLE, is associated with the presence of high-titer U1 RNP autoantibodies, and may co-occur with other rare SLE manifestations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1195-1200"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acr.80022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146218313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Cury Ribeiro PT, MSc, PhD, Sarah E. Lamb PT, DPhil, J. Haxby Abbott DPT, FNZCP, PhD
{"title":"Moderators of the Effects of Exercise and Manual Therapy for People With Knee and Hip Osteoarthritis: A Secondary Analysis of a Randomized Clinical Trial","authors":"Daniel Cury Ribeiro PT, MSc, PhD, Sarah E. Lamb PT, DPhil, J. Haxby Abbott DPT, FNZCP, PhD","doi":"10.1002/acr.80021","DOIUrl":"10.1002/acr.80021","url":null,"abstract":"<div>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aimed to investigate potential moderators influencing the effects of manual therapy and exercise therapy on pain and functional outcomes in individuals with knee and/or hip osteoarthritis, using data from the MOA trial. This is a secondary analysis of data from the MOA trial that compares the clinical effectiveness of manual therapy and/or exercise therapy in addition to usual care for patients with hip and/or knee osteoarthritis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 206 participants were analyzed. The primary outcome measure was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) composite score after one year. The secondary outcome measures were WOMAC pain and function scores. We used linear regression models for assessing whether the effect of randomized interventions on pain and function was moderated by body mass index (BMI), pain self-efficacy, quadriceps strength, mental health, and education.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>BMI moderated the treatment effects of manual therapy interventions on WOMAC composite (β −4.1, 95% confidence interval [CI] −6.6 to −1.7), function (β −3.3, 95% CI −5.1 to −1.6), and pain scores (β −0.6, 95% CI −1.3 to 0.0) when compared to usual care. A negative β reflects an improvement in outcome associated with each one-unit increase in BMI. Mental health moderated (β 16.8, 95% CI 2.2–31.4) treatment effects of manual therapy interventions when compared to usual care. No other moderation effect was identified.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our findings suggest manual therapy may prove to be a more suitable treatment for people with higher BMI and should undergo further trials. Future trials should continue to explore which variables moderate treatment effects when testing effectiveness of nonsurgical interventions in patients with hip or knee osteoarthritis.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"78 9","pages":"1239-1246"},"PeriodicalIF":4.1,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/acr.80021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146218362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}