ACR Open Rheumatology最新文献

Objective: To describe the pattern and risk factors for antimalarial (AM)-induced retinopathy in patients with rheumatic diseases.

Methods: A retrospective chart review was conducted at an urban Canadian center for patients with AM use of more than 3 months and documented retinopathy screening. Univariate and multivariate regression analyses were performed to determine risk factors for retinopathy. Sensitivity analyses included stratification of analysis by method of screening and by hydroxychloroquine (HCQ) versus chloroquine (CQ).

Results: A total of 613 patients were included in the final analysis, with systemic lupus erythematosus (SLE) (n = 259) as the most common diagnosis. Definite AM-induced retinal toxicity was observed in 12 patients, 11 of whom had SLE. The earliest diagnosis of toxicity occurred after 5.4 years of AM therapy, and the prevalence beyond 5 years was 3.1%. In univariate analysis, a diagnosis of SLE (P = 0.009; odds ratio [OR]: 15.66; 95% confidence interval [CI]: 2.01-122.05), the daily weight-based dose of HCQ (P = 0.044; OR: 1.49; 95% CI: 1.01-2.20), cumulative CQ dose (P = 0.014; OR: 4.80; CI: 1.37-16.84), and daily CQ weight-based dose (P = 0.0001; OR: 5.70; 95% CI: 2.41-13.49) were significantly associated with toxicity. In multivariate analysis, diagnosis of SLE (P = 0.022; OR: 12.14; 95% CI: 1.44-102.44) and daily CQ weight-based dose (P = 0.005; OR: 1.83; 95% CI: 1.83-26.75) were significant after adjusting for standard covariates.

Conclusion: The risk of AM-induced retinopathy increases after 5 years of therapy. There may be higher rates of toxicity in patients with SLE because of longer duration of treatment, higher weight-based dosages, and more CQ use in this population, and SLE may be an independent risk factor.

Objective: To describe patients' perspectives on the burden associated with methotrexate (MTX) or tumor necrosis factor inhibitor (TNFi) use in psoriatic arthritis (PsA) and rheumatoid arthritis (RA).

Methods: Between May 2019 and March 2020, patients receiving MTX and/or a TNFi for either PsA or RA were randomly sampled from the FORWARD data bank and were invited to participate in semistructured telephone interviews. Interviews explored patients' perspectives on treatment burden and experiences with MTX and TNFi and were conducted until data saturation was achieved. Interviews were recorded, transcribed, and analyzed using a grounded theory approach and NVivo v12.0 software.

Results: Overall, 25 patients with PsA and 24 patients with RA participated in the interviews. Participants were predominantly women (mean age: 67 years). Nine major themes related to treatment burden were explored, including treatment side effects and their management, psychological burden, effect on daily functioning and work participation, challenges with accessing and administering therapies, financial difficulties or economic impact, and family planning or breastfeeding. Patients receiving MTX mostly reported side effects as the major burden, while cost and concerns with accessing and administering medication were major challenges reported by TNFi users. Treatment discontinuation due to lack of effectiveness was high for PsA, while discontinuation due to medication cost was high for RA.

Conclusion: Patients experience a wide range of burden associated with treatments used for PsA and RA. Health care practitioners should consider these challenges when prescribing therapy and strive toward reducing this burden by understanding patients' concerns and needs and involving them in decision making.

Objective: Dashboards can support person-centered care by helping people partner with their clinicians to coproduce care based on preferences, shared decision-making, and evidence-based treatments. We engaged caregivers of children with juvenile idiopathic arthritis (JIA), adults with rheumatoid arthritis (RA), and clinicians in a pilot study to assess their experiences and the utility and impact of an electronic previsit questionnaire and point-of-care dashboard to support coproduction of rheumatology care.

Methods: We employed a mixed-methods design to assess users' perceptions of a customized electronic health record rheumatology module at four pediatric rheumatology practices and two adult rheumatology practices. We surveyed a convenience sample of caregivers of children with JIA (n = 113), adults with RA (n = 116), and clinicians (n = 12). We conducted semistructured interviews with 13 caregivers and patients and six care teams. Experiences were evaluated using descriptive statistics and thematic analyses.

Results: Caregivers of children with JIA and adults with RA reported the dashboards were useful during discussions (88%) and helped them talk about what mattered most (82%), make health care decisions (83%), and create a treatment plan (77%). Clinicians provided similar feedback. Two-thirds (67%) of caregivers and adults and 55% of clinicians would recommend the dashboard to peers. System usability scores (77.1 ± 15.6) were above average. Dashboards helped users make sense of health information, communicate more effectively, and make decisions. Improvements to the dashboards and workflows could enhance patient self-management and clinician efficiency.

Conclusion: Visual point-of-care dashboards can support caregivers, patients, and clinicians to coproduce rheumatology care. Findings demonstrate a need to spread and scale for broader benefit and impact.

Background: Biomarkers have been proposed as tools to aid in the identification and prognostication of interstitial lung disease (ILD) in rheumatoid arthritis (RA). We performed a systematic review of studies evaluating peripheral blood biomarkers and their association with RA-ILD and its prognosis.

Methods: Medline, Embase, the Cochrane Library, and Scopus were queried for relevant studies, with the final search update on July 12, 2021. We included studies evaluating peripheral blood biomarkers for the identification and/or prognostication of RA-ILD, extracting the performance of individual biomarkers for identifying RA-ILD, and predicting prognosis. Modified versions of the Quality Assessment of Diagnostic Accuracy Studies 2 and the Quality in Prognosis Studies tools were used for quality assessment.

Results: Seventy studies met eligibility criteria. Study and patient characteristics, analytical methods, strength and consistency of associations, and study quality were heterogeneous. A total of 92 biomarkers were positively associated and 12 were negatively associated with RA-ILD among patients with RA in one or more report. Only a small number of biomarkers were evaluated in multiple cohorts using adjusted analyses. Biomarkers most strongly associated with RA-ILD overlapped with those identified for idiopathic pulmonary fibrosis. Few prognostic biomarkers of RA-ILD were identified.

Conclusion: Several peripheral blood biomarkers are associated with the presence of RA-ILD, but few have been assessed in multivariable models, have been externally validated, have discriminated RA-ILD from other lung disease, or have prognosticated the disease course. High-quality studies investigating and validating peripheral biomarkers in RA-ILD are needed before they can be employed in clinical care.

Objective: Our objective was to evaluate the factors associated with regional variation of rheumatoid arthritis (RA) disease burden in the US.

Methods: In a retrospective cohort analysis of Rheumatology Informatics System for Effectiveness (RISE) registry data, seropositivity, RA disease activity (Clinical Disease Activity Index [CDAI], Routine Assessment of Patient Index Data-version 3 [RAPID3]), socioeconomic status (SES), geographic region, health insurance type, and comorbidity burden were recorded. An Area Deprivation Index score of more than 80 defined low SES. Median travel distance to practice sites' zip codes was calculated. Linear regression was used to analyze associations between RA disease activity and comorbidity adjusting for age, sex, geographic region, race, and insurance type.

Results: Enrollment data for 184,722 patients with RA from 182 RISE sites were analyzed. Disease activity was higher in African American patients, in those from Southern regions, and in those with Medicaid or Medicare coverage. Greater comorbidity was prevalent in patients in the South and those with Medicare or Medicaid coverage. There was moderate correlation between comorbidity and disease activity (Pearson coefficient: RAPID3 0.28, CDAI 0.15). High-deprivation areas were mainly in the South. Less than 10% of all participating practices cared for more than 50% of all Medicaid recipients. Patients living more than 200 miles away from specialist care were located mainly in Southern and Western regions.

Conclusion: A disproportionately large portion of socially deprived, high comorbidity, and Medicaid-covered patients with RA were cared for by a minority of rheumatology practices. Studies are needed in high-deprivation areas to establish more equitable distribution of specialty care for patients with RA.

Objective: Rheumatic diseases are associated with increased rates of hospitalized infection, but few studies have included Indigenous North American populations. Our objective was to evaluate the association of rheumatic disease diagnosis during a hospitalization with odds of hospitalized infections in Alaska and assess differences by race.

Methods: We used hospital discharge data from the Alaska Health Facilities Data Reporting Program from 2015 to 2018. We identified people with a rheumatic disease diagnosis based on any hospital discharge diagnosis of a set of rheumatic diseases and compared them to people hospitalized but without a rheumatic disease diagnosis. We determined odds of hospitalized infection by rheumatic disease diagnosis status and type, race, and type of infection. Using multivariable modeling, we determined factors associated with hospitalized infection.

Results: Having a rheumatic disease diagnosis other than osteoarthritis was associated with 1.90 higher odds of hospitalized infection overall, whereas people of Alaska Native/American Indian (AN/AI) race with rheumatic disease had 2.44 higher odds. The odds varied by rheumatic disease and were increased in all rheumatic diseases except osteoarthritis (0.73). The most common type of hospitalized infection was sepsis, but opportunistic infections and pneumonia were most associated with a rheumatic disease diagnosis. On multivariable analysis, having a rheumatic disease diagnosis other than osteoarthritis, being of older age, and being of AN/AI race were associated with increased odds of hospitalized infection, with an interaction between race and rheumatic disease status.

Conclusion: This study confirmed the association of hospitalized infections with rheumatic disease diagnosis (other than osteoarthritis) during hospitalization and identified disparities by race.

Objective: Metabolic dysregulation frequently co-occurs with obesity, which has been shown to be a risk factor for lower extremity osteoarthritis (OA). We evaluated the association between metabolic syndrome (MetS), alone and in combination with obesity, and hip OA.

Methods: In two parallel cross-sectional analyses, we studied 403 women from the Study of Osteoporotic Fractures (SOF) and 2354 men from the Osteoporotic Fractures in Men (MrOS) study. We used multivariable logistic regression to evaluate associations of obesity (body mass index ≥30 kg/m² ) and/or MetS (three of five National Cholesterol Education Program Adult Treatment Panel III criteria) with clinical hip OA, defined as a modified Croft score of 2 or more or total hip replacement, and pain or limited range of motion. Our analysis adjusted for demographics.

Results: Approximately 3.5% of SOF women and 5.4% of MrOS men had clinical hip OA. Among women, obesity was not associated with hip OA, yet those with MetS had a 365% higher odds of hip OA (95% CI: 1.37-15.83). Among men, those who had obesity had a 115% higher odds of hip OA (95% CI: 1.39-3.32), yet MetS was not associated with hip OA. There was no interaction between MetS, obesity, and hip OA in either women or men.

Conclusion: In women, but not in men, MetS was associated with hip OA. In men, but not in women, obesity was associated with hip OA. These findings suggest that mechanical effects of obesity may predominate in the pathogenesis of hip OA in men, whereas metabolic effects predominate in women.

Objective: To better understand the symptoms and impacts of Raynaud phenomenon (RP) in patients with systemic sclerosis (SSc) and to evaluate the content validity and usability of a new electronic patient-reported outcome (PRO) measure for RP: the Raynaud Diary.

Methods: The Raynaud Diary was developed as a daily eDiary for assessing the number and duration of symptomatic Raynaud attacks; worst pain, numbness, tingling, and discomfort in the fingers; and overall disease severity, captured using the Raynaud's Condition Score. The Raynaud Diary was debriefed in two waves of qualitative interviews with adults with self-reported RP secondary to SSc. All interviews included open-ended questions about participants' experiences of RP.

Results: Participants (N = 39) had a mean age of 55.1 years, and 87% were female. Frequently reported RP symptoms were color change (reported by all participants), numbness (90%), tingling (82%), pain (77%), and discomfort (72%). Common attack triggers included temperature-related factors and stress. Participants reported being unable to be outside or do outdoor activities and had problems gripping objects. All participants demonstrated understanding of the Raynaud Diary instructions. Most participants indicated that they would be able to use the Raynaud Diary to record the worst severity of individual RP symptoms in the previous 24 hours.

Conclusion: Patients with RP secondary to SSc bear a heavy symptom burden. The Raynaud Diary is a content valid PRO measure that captures the most frequent symptoms of RP in patients with SSc.