BACKGROUND: The Manhattan Lupus Surveillance Program (MLSP), a population-based retrospective registry of patients with systemic lupus erythematosus (SLE), was used to investigate the prevalence of cardiovascular disease events (CVE) and compare rates among sex, age and race/ethnicity to population-based controls. METHODS: Patients with prevalent SLE in 2007 aged ≥ 20 years in the MLSP were included. CVE required documentation of a myocardial infarction or cerebrovascular accident. We calculated crude risk ratios and adjusted risk ratios (ARR) controlling for sex, age group, race and ethnicity, and years since diagnosis. Data from the 2009-2010 National Health and Nutrition Examination Survey (NHANES) and the 2013-2014 NYC Health and Nutrition Examination Survey (NYC HANES) were used to calculate expected CVE prevalence by multiplying NHANES and NYC HANES estimates by strata-specific counts of patients with SLE. Crude prevalence ratios (PRs) using national and NYC estimates and age standardized prevalence ratios (ASPRs) using national estimates were calculated. RESULTS: CVE occurred in 13.9% of 1,285 MLSP patients with SLE, and risk was increased among men (ARR:1.7, 95%CI:1.2-2.5) and older adults (age > 60 ARR:2.5, 95%CI:1.7-3.8). Compared with non-Hispanic Asian patients, CVE risk was elevated among Hispanic/Latino (ARR:3.1, 95%CI:1.4-7.0) and non-Hispanic Black (ARR:3.5, 95%CI1.6-7.9) patients as well as those identified as non-Hispanic and in another or multiple racial groups (ARR:4.2, 95%CI:1.1-15.8). Overall, CVE prevalence was higher among patients with SLE than nationally (ASPR:3.1, 95%CI:3.0-3.1) but did not differ by sex. Compared with national race and ethnicity-stratified estimates, CVE among patients with SLE was highest among Hispanics/Latinos (ASPR:4.3, 95%CI:4.2-4.4). CVE was also elevated among SLE registry patients compared with all NYC residents. Comparisons with age-stratified national estimates revealed PRs of 6.4 (95%CI:6.2-6.5) among patients aged 20-49 years and 2.2 (95%CI:2.1-2.2) among those ≥ 50 years. Male (11.3, 95%CI:10.5-12.1), Hispanic/Latino (10.9, 95%CI:10.5-11.4) and non-Hispanic Black (6.2, 95%CI:6.0-6.4) SLE patients aged 20-49 had the highest CVE prevalence ratios. CONCLUSIONS: These population-based estimates of CVE in a diverse registry of patients with SLE revealed increased rates among younger male, Hispanic/Latino and non-Hispanic Black patients. These findings reinforce the need to appropriately screen for CVD among all SLE patients but particularly among these high-risk patients.

OBJECTIVE: Leveraging the Manhattan Lupus Surveillance Program (MLSP), a population-based registry of cases of systemic lupus erythematosus (SLE) and related diseases, we investigated the proportion of SLE with concomitant rheumatic diseases, including Sjögren's disease (SjD), antiphospholipid syndrome (APLS), and fibromyalgia (FM), as well as the prevalence of autoantibodies in SLE by sex and race/ethnicity. METHODS: Prevalent SLE cases fulfilled one of three sets of classification criteria. Additional rheumatic diseases were defined using modified criteria based on data available in the MLSP: SjD (anti-SSA/Ro positive and evidence of keratoconjunctivitis sicca and/or xerostomia), APLS (antiphospholipid antibody positive and evidence of a blood clot), and FM (diagnosis in the chart). RESULTS: 1,342 patients fulfilled SLE classification criteria. Of these, SjD was identified in 147 (11.0%, 95% CI 9.2-12.7%) patients with women and non-Latino Asian patients being the most highly represented. APLS was diagnosed in 119 (8.9%, 95% CI 7.3-10.5%) patients with the highest frequency in Latino patients. FM was present in 120 (8.9%, 95% CI 7.3-10.5) patients with non-Latino White and Latino patients having the highest frequency. Anti-dsDNA antibodies were most prevalent in non-Latino Asian, Black, and Latino patients while anti-Sm antibodies showed the highest proportion in non-Latino Black and Asian patients. Anti-SSA/Ro and anti-SSB/La antibodies were most prevalent in non-Latino Asian patients and least prevalent in non-Latino White patients. Men were more likely to be anti-Sm positive. CONCLUSION: Data from the MLSP revealed differences among patients classified as SLE in the prevalence of concomitant rheumatic diseases and autoantibody profiles by sex and race/ethnicity underscoring comorbidities associated with SLE.

BACKGROUND: Environmental factors can influence epigenetic regulation, including DNA methylation, potentially contributing to systemic lupus erythematosus (SLE) development and progression. We compared methylation of the B cell costimulatory CD70 gene, in persons with lupus and controls, and characterized associations with age. RESULTS: In 297 adults with SLE and 92 controls from the Michigan Lupus Epidemiology and Surveillance (MILES) Cohort, average CD70 methylation of CD4(+) T cell DNA across 10 CpG sites based on pyrosequencing of the promoter region was higher for persons with SLE compared to controls, accounting for covariates [β = 2.3, p = 0.011]. Using Infinium MethylationEPIC array data at 18 CD70-annoted loci (CD4(+) and CD8(+) T cell DNA), sites within the promoter region tended to be hypomethylated in SLE, while those within the gene region were hypermethylated. In SLE but not controls, age was significantly associated with pyrosequencing-based CD70 methylation: for every year increase in age, methylation increased by 0.14 percentage points in SLE, accounting for covariates. Also within SLE, CD70 methylation approached a significantly higher level in Black persons compared to White persons (β = 1.8, p = 0.051). CONCLUSIONS: We describe altered CD70 methylation patterns in T lymphocyte subsets in adults with SLE relative to controls, and report associations particular to SLE between methylation of this immune-relevant gene and both age and race, possibly a consequence of "weathering" or accelerated aging which may have implications for SLE pathogenesis and potential intervention strategies.

OBJECTIVES: Medication access and adherence play key roles in determining patient outcomes. We investigated whether cost-related non-adherence (CRNA) to prescription medications was associated with worse patient-reported outcomes in a population-based systemic lupus erythematosus (SLE) cohort. METHODS: Sociodemographic and prescription data were collected by structured interviews in 2014-2015 from patients meeting SLE criteria in the established Michigan Lupus Epidemiology & Surveillance (MILES) Cohort. We examined the associations between CRNA and potential confounders such as sociodemographics and health insurance coverage, and outcome measures of SLE activity and damage using multivariable linear regression. RESULTS: 462 SLE participants completed the study visit: 430 (93.1%) female, 208 (45%) Black, and mean age 53.3 years. 100 (21.6%) participants with SLE reported CRNA in the preceding 12 months. After adjusting for covariates, CRNA was associated with both higher levels of current SLE disease activity [SLAQ: β coeff 2.7 (95% CI 1.3, 4.1), p < 0.001] and damage [LDIQ β coeff 1.4 (95% CI 0.5, 2.4), p = 0.003]. Race, health insurance status, and fulfilling Fibromyalgia (FM) Survey Criteria were independently associated with both higher (worse) SLAQ and LDIQ scores; female sex was further associated with higher SLAQ scores. CONCLUSION: Patients with SLE who reported CRNA in the previous 12 months had significantly worse self-reported current disease activity and damage scores compared to those not reporting CRNA. Raising awareness and addressing barriers or concerns related to financial implications and accessibility issues in care plans may help to improve these outcomes.

OBJECTIVE: Systemic lupus erythematosus (SLE) affects Black people 2 to 3 times more frequently than non-Black people and is associated with higher morbidity and mortality. In total, 4 studies with predominantly non-Black SLE cohorts highlighted that cardiovascular disease (CVD) is no longer primarily a late complication of SLE. This study assessed the timing and predictors of incident CVD in a predominantly Black population-based SLE cohort. METHODS: Incident SLE cases from the population-based Georgia Lupus Registry were validated as having a CVD event through review of medical records and matching with the Georgia Hospital Discharge Database and the National Death Index. The surveillance period for an incident CVD event spanned a 15-year period, starting from 2 years prior to SLE diagnosis. RESULTS: Among 336 people with SLE, 253 (75%) were Black and 56 (17%) had an incident CVD event. The frequency of CVD events peaked in years 2 and 11 after SLE diagnosis. There was a 7-fold higher risk of incident CVD over the entire 15-year period; this risk was 19-fold higher in the first 12 years in Black people as compared to non-Black people with SLE. Black people with SLE (P < 0.001) and those with discoid rash (hazard ratio 3.2, 95% CI 1.4-7.1) had a higher risk of incident CVD events. CONCLUSION: The frequency of incident CVD events peaked in years 2 and 11 after SLE diagnosis. Being Black or having a discoid rash were strong predictors of an incident CVD event. Surveillance for CVD and preventive interventions, directed particularly toward Black people with recent SLE diagnoses, are needed to reduce racial disparities.

OBJECTIVE: Epidemiologic data for mixed connective tissue disease (MCTD) are limited. Leveraging data from the Manhattan Lupus Surveillance Program (MLSP), a racially/ethnically diverse population-based registry of cases with SLE and related diseases including MCTD, we provide estimates of the prevalence and incidence of MCTD. METHODS: MLSP cases were identified from rheumatologists, hospitals, and population databases using a variety of ICD-9 codes. MCTD was defined as one of the following: 1) fulfillment of our modified Alarcon-Segovia and Kahn criteria which required a positive RNP antibody and the presence of synovitis, myositis, and Raynaud's phenomenon, 2) a diagnosis of MCTD and no other diagnosis of another connective tissue disease (CTD), and 3) a diagnosis of MCTD regardless of another CTD diagnosis. RESULTS: Overall, 258 (7.7%) of cases met a definition of MCTD. Using our modified Alarcon-Segovia and Kahn criteria for MCTD, the age-adjusted prevalence was 1.28 (95%CI 0.72-2.09) per 100 000. Using our definition of a diagnosis of MCTD and no other diagnosis of another CTD yielded an age-adjusted prevalence and incidence of MCTD of 2.98 (95%CI 2.10-4.11) per 100 000 and 0.39 (95%CI 0.22-0.64) per 100 000, respectively. The age-adjusted prevalence and incidence were highest using a diagnosis of MCTD regardless of other CTD diagnoses and were 16.22 (95%CI 14.00-18.43) per 100 000 and 1.90 (95%CI 1.49-2.39) per 100 000 respectively. CONCLUSIONS: The MLSP provided estimates for prevalence and incidence of MCTD in a diverse population. The variation in estimates using different case definitions is reflective of the challenge of defining MCTD in epidemiologic studies.

OBJECTIVE: To characterize the epidemiological trends and mortality of cutaneous lupus erythematosus (CLE) between 1976 and 2018 in Olmsted County, Minnesota. PATIENTS AND METHODS: In this retrospective population-based cohort study, all incident and prevalent CLE cases among adult residents in Olmsted County, Minnesota, between January 1, 1976, and December 31, 2018, were identified and categorized by subtype through medical record review using the resources of the Rochester Epidemiology Project. RESULTS: The overall incidence rate of CLE between 1976 and 2018 was 3.9 (95% CI, 3.4 to 4.5) per 100,000. The incidence of CLE was relatively stable, with no major trend across sexes or age groups. The age- and sex-adjusted prevalence of CLE was 108.9 per 100,000 on January 1, 2015. Mortality in CLE patients was similar to that of the general population, with a standardized mortality ratio of 1.23 (95% CI, 0.88 to 1.66) with no observed trends in mortality over time. CONCLUSION: In the past 4 decades, the incidence of CLE remained stable. Patients with CLE have mortality comparable to that of the general population.

OBJECTIVES: There is paucity of population-based studies investigating the epidemiology of lupus nephritis (LN) in the US and long-term secular trends of the disease and its outcomes. We aimed to examine the epidemiology of LN in a well-defined eight-county region in the US. METHODS: Patients with incident LN between 1976 and 2018 (1976-2009 Olmsted County, 2010-2018 eight-county region) in Minnesota were identified. Age- and sex-specific incidence rates and point prevalence for four decades, adjusted to the projected 2000 US population, were reported. Standardized mortality ratios (SMR), survival rates, and time to end-stage renal disease (ESRD) were estimated. RESULTS: There were 72 patients with incident LN between 1976-2018. Mean age at diagnosis was 38.4 years (SD 16.24), 76% were female, and 69% non-Hispanic White. Average annual LN incidence between 1976 and 2018 was 1 per 100,000 population (95%CI 0.8-1.3) and highest in the 30-39 age group. Between 1976-1989 and 2000-2018 periods, overall incidence of LN increased from 0.7 to 1.3 per 100,000, but this was not statistically significant. Estimated LN prevalence increased from 16.8 in 1985 to 21.2 per 100,000 in 2015. LN had an SMR of 6.33 (95% CI 3.81-9.89) with no improvement in mortality gap in the last four decades. At 10 years, survival was 70%, and 13% had ESRD. CONCLUSION: The incidence and prevalence of LN in this area increased in the last four decades. LN patients have poor outcomes with high rates of ESRD and mortality rates six times that of the general population. This article is protected by copyright. All rights reserved.

OBJECTIVE: Depression is common in individuals with chronic cutaneous lupus erythematosus (CCLE). However, how CCLE may impact patients' psychological well-being is poorly understood, particularly among disproportionally affected populations. We examined the relationships between depression and psychosocial factors in a cohort of predominantly Black patients with primary CCLE (CCLE without systemic manifestations). METHODS: Cross-sectional assessment of individuals with dermatologist-validated diagnosis of primary CCLE. NIH-PROMIS short-forms were used to measure depression, disease-related stigma, social isolation and emotional support. Linear regression analyses (=0.05) were used to test an a priori conceptual model of the relationship between stigma and depression and the effect of social isolation and emotional support on that association. RESULTS: Among 121 participants (87.6%women; 85.1% Black), 37 (30.6%) reported moderate to severe depression. Distributions of examined variables divided equally among those which did (eg, work status, stigma (more), social isolation (more), emotional support (less)) and did not (eg, age, sex, race, marital status) significantly differ by depression. Stigma was significantly associated with depression (b=0.77; 95% CI0.65 to 0.90), whereas social isolation was associated with both stigma (b=0.85; 95% CI 0.72 to 0.97) and depression (b=0.70; 95% CI0.58 to 0.92). After controlling for confounders, stigma remained associated with depression (b=0.44; 95% CI0.23 to 0.66) but lost significance (b=0.12; 95% CI -0.14 to 0.39) when social isolation (b=0.40; 95% CI 0.19 to 0.62) was added to the model. Social isolation explained 72% of the total effect of stigma on depression. Emotional support was inversely associated with depression in the univariate analysis; however, no buffer effect was found when it was added to the multivariate model. CONCLUSION: Our findings emphasise the psychosocial challenges faced by individuals living with primary CCLE. The path analysis suggests that stigmatisation and social isolation might lead to depressive symptoms. Early clinical identification of social isolation and public education demystifying CCLE could help reduce depression in patients with CCLE.

OBJECTIVE: To estimate the incidence and time-to-classification of SLE by the 1997 ACR (ACR97) criteria, the SLICC criteria, and the European Alliance of Associations for Rheumatology/ACR (EULAR/ACR) criteria. METHODS: We identified all incident SLE cases from 2000-2018 in the well-defined Olmsted County population. Clinical data included in the ACR97, SLICC and EULAR/ACR criteria were manually abstracted from medical records. All incident cases met at least one of the three classification criteria. Time-to-classification was estimated from the first documented lupus-attributable disease manifestation to the time of criteria fulfilment by each of the three definitions. Annual incidence rates were age or age/sex adjusted to the 2000 US population. RESULTS: Of 139 incident cases there were 126 cases by the EULAR/ACR criteria, corresponding to an age/sex-adjusted incidence of 4.5 per 100 000 population (95% CI: 3.7, 5.2). The age/sex-incidence was higher than that of the SLICC criteria (113 cases; 4.0 per 100 000 [95% CI: 3.3, 4.7], P = 0.020) and the ACR97 (92 cases; 3.3 per 100 000 [95% CI: 2.6, 3.9], P < 0.001). The median time from first disease manifestation to criteria fulfilment was shorter for the EULAR/ACR criteria (29.4 months) than the ACR97 criteria (47.0 months, P < 0.001) and similar to the SLICC criteria (30.6 months, P = 0.83). CONCLUSION: The incidence of SLE was higher by the EULAR/ACR criteria compared with the ACR97 and the SLICC criteria, and the EULAR/ACR criteria classified patients earlier that the ACR97 criteria but similar to the SLICC criteria.

OBJECTIVE: Using the Manhattan Lupus Surveillance Program (MLSP), a multi-racial/ethnic population-based registry, we compared three commonly used classification criteria for Systemic Lupus Erythematosus (SLE) to identify unique cases and determine the incidence and prevalence of SLE using the EULAR/ACR criteria. METHODS: SLE cases were defined as fulfilling 1997 ACR, SLICC, or EULAR/ACR classification criteria. We quantified the number of cases uniquely associated with each and the number fulfilling all three. Prevalence and incidence using the EULAR/ACR classification criteria and associated 95% confidence intervals (CI) were calculated. RESULTS: 1,497 cases fulfilled at least one of the three classification criteria, with 1,008 (67.3%) meeting all three classifications, 138 (9.2%) fulfilling only SLICC criteria, 35 (2.3%) fulfilling only ACR criteria and 34 (2.3%) uniquely fulfilling EULAR/ACR criteria. Patients solely satisfying EULAR/ACR criteria had fewer than four manifestations. The majority classified only by the ACR criteria did not meet any of the defined immunologic criteria. Patients fulfilling only SLICC criteria did so based on the presence of features unique to this system. Using the EULAR/ACR classification criteria, age-adjusted overall prevalence and incidence rates of SLE in Manhattan were 59.6 (95%CI:55.9-63.4) and 4.9 (95%CI 4.3-5.5) per 100,000 population, with age-adjusted prevalence and incidence rates highest among non-Hispanic Black females. CONCLUSION: Applying the three commonly used classification criteria to a population-based registry identified patients with SLE fulfilling only one validated definition. The most recently developed EULAR/ACR classification criteria revealed similar prevalence and incidence estimates to those previously established for the ACR and SLICC classification schemes.

OBJECTIVES: To determine the trends in incidence, prevalence and mortality of systemic lupus erythematosus (SLE) in a US population over four decades. METHODS: We identified all the patients with SLE in Olmsted County, Minnesota who fulfilled the European Alliance of Associations for Rheumatology (EULAR)/American College of Rheumatology (ACR) criteria for SLE during 1976-2018. Age-specific and sex-specific incidence and prevalence dates were adjusted to the standard 2000 projected US population. The EULAR/ACR score was used as a proxy for disease severity. Standardised mortality ratio (SMR) was estimated. RESULTS: There were 188 incident SLE cases in 1976-2018 (mean age 46.3±SD 16.9; 83% women). Overall age-adjusted and sex-adjusted annual SLE incidence per 100 000 population was 4.77 (95% CI 4.09 to 5.46). Incidence was higher in women (7.58) than men (1.89). The incidence rate increased from 3.32 during 1976-1988 to 6.44 during 2009-2018. Incidence rates were higher among the racial and ethnic minority populations than non-Hispanic whites. The EULAR/ACR score did not change significantly over time. Overall prevalence increased from 30.6 in 1985 to 97.4 in 2015. During the study period, there was no improvement in SMR over time (p=0.31). CONCLUSIONS: The incidence and prevalence of SLE are increasing in this US population. The increase in incidence may be at least partially explained by the rising ethnic/racial diversity of the population. There was no evidence that the severity of SLE has changed over time. The survival gap between SLE and the general population remains unchanged. As the US population grows more diverse, we might continue to see an increase in the incidence of SLE.

Arthritis is associated with joint pain, disability, and physical inactivity, potentially resulting in poor quality of life. The Centers for Disease Control and Prevention analyzed 2019 Behavioral Risk Factor Surveillance System data to estimate state-specific arthritis prevalence and, among adults with arthritis, the prevalence of physical inactivity, fair/poor self-rated health status, and severe joint pain. Among adults with arthritis, age-standardized prevalences of physical inactivity, fair/poor health status, and severe joint pain were high in all states and highest in southeastern states. Increased promotion and use of evidence-based public health interventions for arthritis may improve health-promoting behaviors and health outcomes among adults with arthritis.

Pain has been established as a major public health problem in the United States (U.S.) with 50 million adults experiencing chronic pain and 20 million afflicted with high-impact chronic pain (i.e., chronic pain that interferes with life or work activities). High financial and social costs are associated with chronic pain. Over the past two decades, pain management has been complicated by the marked increase in opioids prescribed to treat chronic non-cancer pain and by the concurrent opioid crisis. Monitoring the prevalence of chronic pain and pain management is especially important because pain management is changing in uncertain ways. We review potential U.S. chronic pain surveillance systems, present potential difficulties of chronic pain surveillance, and explore how to address chronic pain surveillance in the current opioid era. We consider case definitions, severity, anatomic site, and varieties of chronic pain management strategies in reviewing and evaluating national surveys for chronic pain surveillance. Based on the criteria evaluated, the National Health Interview Survey offers the best single source for pain surveillance as the pain-related questions administered are brief, valid, and cover a broad scope of pain-related phenomenon. Perspective: This review article describes data sources that can be leveraged to conduct national chronic pain surveillance in the United States, explores case defining or pain-related questions administered, and evaluates them against eight surveillance attributes.

Objective: To describe the point prevalence of hip symptoms, radiographic hip osteoarthritis (rHOA), severe rHOA, and symptomatic rHOA (sxHOA) at five time points in the longitudinal, population-based Johnston County Osteoarthritis Project (JoCoOA). Design(s): Data were from 3068 JoCoOA participants who attended up to five study visits (1991-2018). Standardized supine pelvis radiographs were read by a single, expert musculoskeletal radiologist with high reliability. The four outcomes were: 1) self-reported hip symptoms: "On most days, do you have pain, aching, or stiffness in your right/left hip?"; 2) rHOA: Kellgren-Lawrence grade (KLG) of 2-4; 3) severe rHOA: KLG of 3-4; and 4) sxHOA: both symptoms and rHOA in the same joint. Weighted point prevalence and 95% confidence intervals (CI) were generated overall and by age group (45-54, 55-64, 65-74, 75+ years), sex, race (Black/White), and body mass index (BMI; 18.5-24.9; 25-29.9; 30+ kg/m2). Result(s): At the most recent follow-up (2017-2018), the point prevalence (%) of hip symptoms, rHOA, severe rHOA, and sxHOA were 30% (95% CI 25%, 35%), 53% (95% CI 48%, 58%), 9% (95% CI 6%, 12%), and 15% (95% CI 11%, 19%), respectively. RHOA and severe rHOA were most prevalent in those 75+ years. Women were more likely than men to have hip symptoms and sxHOA. No consistent trends were noted by race or BMI. Conclusion(s): These updated point prevalence estimates demonstrate a large and increasing burden of HOA in the general population, particularly with aging. Black and White individuals were affected similarly in this cohort. Copyright © 2022 The Authors

OBJECTIVE: To estimate the annual incidence rate of SLE in the USA. METHODS: A meta-analysis used sex/race/ethnicity-specific data spanning 2002-2009 from the Centers for Disease Control and Prevention network of four population-based state registries to estimate the incidence rates. SLE was defined as fulfilling the 1997 revised American College of Rheumatology classification criteria. Given heterogeneity across sites, a random effects model was employed. Applying sex/race/ethnicity-stratified rates, including data from the Indian Health Service registry, to the 2018 US Census population generated estimates of newly diagnosed SLE cases. RESULTS: The pooled incidence rate per 100 000 person-years was 5.1 (95% CI 4.6 to 5.6), higher in females than in males (8.7 vs 1.2), and highest among black females (15.9), followed by Asian/Pacific Islander (7.6), Hispanic (6.8) and white (5.7) females. Male incidence was highest in black males (2.4), followed by Hispanic (0.9), white (0.8) and Asian/Pacific Islander (0.4) males. The American Indian/Alaska Native population had the second highest race-specific SLE estimates for females (10.4 per 100 000) and highest for males (3.8 per 100 000). In 2018, an estimated 14 263 persons (95% CI 11 563 to 17 735) were newly diagnosed with SLE in the USA. CONCLUSIONS: A network of population-based SLE registries provided estimates of SLE incidence rates and numbers diagnosed in the USA.

Arthritis is a highly prevalent and disabling condition among U.S. adults (1); arthritis-attributable functional limitations and severe joint pain affect many aspects of health and quality of life (2). Self-management education (self-management) and physical activity can reduce pain and improve the health status and quality of life of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively. To assess self-reported self-management class attendance and health care provider physical activity counseling among adults with doctor-diagnosed arthritis, CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. In 2019, an age-standardized state median of one in six (16.2%) adults with arthritis reported ever attending a self-management class, and 69.3% reported ever receiving health care provider counselling to be physically active. Prevalences of both differed by state and sociodemographic characteristics; decreased with lower educational attainment, joint pain severity, and urbanicity; and were lower in men than in women. Health care providers can play an important role in promoting self-management class attendance and physical activity by counseling arthritis patients about their benefits and referring patients to evidence-based programs (3).

Primary care providers (PCPs) can offer counseling to adults with arthritis on physical activity, which can reduce pain and improve physical function, mental health, and numerous other health outcomes. We analyzed cross-sectional 2018 DocStyles data for 1,366 PCPs who reported they always or sometimes recommend physical activity to adults with arthritis. Most PCPs sampled (88.2%) recommended walking, swimming, or cycling; 65.5% did not recommend any evidence-based, arthritis-appropriate physical activity programs recognized by the Centers for Disease Control and Prevention. Opportunities exist for public health awareness campaigns to educate PCPs about evidence-based physical activity programs proven to optimize health for adults with arthritis when more than counseling is needed.

The numerous health benefits of physical activity include reduced risk for chronic disease and improved mental health and quality of life (1). Physical activity can improve physical function and reduce pain and fall risk among adults with arthritis, a group of approximately 100 conditions affecting joints and surrounding tissues (most commonly osteoarthritis, fibromyalgia, gout, rheumatoid arthritis, and lupus) (1). Despite these benefits, the 54.6 million U.S. adults currently living with arthritis are generally less active than adults without arthritis, and only 36.2% of adults with arthritis are aerobically active (i.e., meet aerobic physical activity guidelines*) (2). Little is known about which physical activities adults with arthritis engage in. CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data to examine the most common nonwork-related physical activities among adults with arthritis who reported any physical activity during the past month, nationally and by state. In 2019, 67.2% of adults with arthritis reported engaging in physical activity in the past month; among these persons, the most commonly reported activities were walking (70.8%), gardening (13.3%), and weightlifting (7.3%). In 45 U.S. states, at least two thirds of adults with arthritis who engaged in physical activity reported walking. Health care providers can help inactive adults with arthritis become active and, by encouraging physical activity and referring these persons to evidence-based physical activity programs, improve their health and quality of life.

Arthritis has been the most frequently reported main cause of disability among U.S. adults for >15 years (1), was responsible for >$300 billion in arthritis-attributable direct and indirect annual costs in the U.S. during 2013 (2), is linked to disproportionately high levels of anxiety and depression (3), and is projected to increase 49% in prevalence from 2010-2012 to 2040 (4). To update national prevalence estimates for arthritis and arthritis-attributable activity limitation (AAAL) among U.S. adults, CDC analyzed combined National Health Interview Survey (NHIS) data from 2016-2018. An estimated 58.5 million adults aged ≥18 years (23.7%) reported arthritis; 25.7 million (10.4% overall; 43.9% among those with arthritis) reported AAAL. Prevalence of both arthritis and AAAL was highest among adults with physical limitations, few economic opportunities, and poor overall health. Arthritis was reported by more than one half of respondents aged ≥65 years (50.4%), adults who were unable to work or disabled* (52.3%), or adults with fair/poor self-rated health (51.2%), joint symptoms in the past 30 days (52.2%), activities of daily living (ADL)(†) disability (54.8%), or instrumental activities of daily living (IADL)(§) disability (55.9%). More widespread dissemination of existing, evidence-based, community-delivered interventions, along with clinical coordination and attention to social determinants of health (e.g., improved social, economic, and mental health opportunities), can help reduce widespread arthritis prevalence and its adverse effects.

OBJECTIVE: To describe point prevalence of knee symptoms, radiographic knee osteoarthritis (rKOA), severe rKOA, and symptomatic rKOA at four time points in the longitudinal, population-based Johnston County Osteoarthritis Project (JoCo OA). METHODS: Data were from 2573 JoCo OA participants with up to 18 years of follow-up (1999-2018) and standardized fixed-flexion knee radiographs read by a single, reliable expert musculoskeletal radiologist. The four outcomes were 1) self-reported knee symptoms, defined by "On most days, do you have pain, aching, or stiffness in your right/left knee?"; 2) rKOA, defined as a Kellgren-Lawrence grade (KLG) of 2 to 4); 3) severe rKOA, defined as a KLG of 3 or 4; and 4) symptomatic rKOA, defined as both symptoms and rKOA in the same joint. Weighted prevalence estimates and 95% confidence intervals (CIs) were generated overall and by age group, sex, race, and body mass index (BMI). RESULTS: Most recently (2017-2018, T4), the overall prevalence (percentage) of knee symptoms, rKOA, severe rKOA, and symptomatic rKOA was 41% (95% CI: 35-47%), 61% (95% CI: 56-67%), 35% (95% CI: 30-40%), and 30% (95% CI: 24-35%), respectively. From time point T1 to T4, prevalence increased for rKOA, severe rKOA, and symptomatic rKOA but not for knee symptoms. The prevalence of both severe rKOA (17-39%) and symptomatic rKOA (23-30%) was consistently higher among women. The prevalence of all outcomes was higher among those with higher BMI and among Black participants at all time points, particularly rKOA (35-69%) and severe rKOA (22-46%). CONCLUSION: These updated estimates demonstrate a large and increasing burden of knee OA, particularly among women and Black individuals.

Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease with manifestations that vary widely in severity. Although minority populations are at higher risk for SLE and have more severe outcomes (1), population-based estimates of mortality by race and ethnicity are often lacking, particularly for Asian and Hispanic/Latino persons. Among 812 patients in the California Lupus Surveillance Project (CLSP) during 2007-2009 (2,3), who were matched to the 2007-2017 National Death Index (NDI), 16.6% had died by 2017. This proportion included persons of White (14.4%), Black (25%), Asian (15.3%), and Hispanic/Latino (15.5%) race/ethnicity. Standardized mortality ratios (SMRs) of observed-to-expected deaths among persons with SLE within each racial/ethnic group were 2.3, 2.0, 3.8, and 3.9, respectively. These findings provide the first population-based estimates of mortality among Asian and Hispanic/Latino persons with SLE. Coordination of robust care models between primary care providers and rheumatologists could ensure that persons with SLE receive a timely diagnosis and appropriate treatments that might help address SLE-associated mortality.

OBJECTIVE: Epidemiologic data for systemic lupus erythematosus (SLE) is limited, particularly for racial/ethnic subpopulations in the United States (U.S.). Leveraging data from the Centers for Disease Control and Prevention (CDC) National Lupus Registry network of population-based SLE registries, a meta-analysis estimating U.S. SLE prevalence was performed. METHODS: The CDC National Lupus Registry network included four registries in unique states and a fifth in the Indian Health Service (IHS). All registries used the 1997 revised American College of Rheumatology (ACR) classification criteria for the SLE case definition. Case finding spanned either 2002-2004 or 2007-2009. A random effects model was employed given heterogeneity across sites. Applying sex/race-stratified estimates to the 2018 Census population, an estimate for the number of SLE cases in the U.S. was generated. RESULTS: 5,417 cases fulfilled the ACR SLE classification criteria. Pooled prevalence from the four state-specific registries was 72.8/100,000 (95%CI:65.3,81.0), 9 times higher for females than males (128.7 vs 14.6), and highest among Black females (230.9), followed by Hispanic (120.7), white (84.7) and Asian/Pacific Islander females (84.4). Male prevalence was highest in Black males (26.7) followed by Hispanic (18.0), Asian/Pacific Islander (11.2), and white males (8.9). The American Indian/Alaska Native had the highest race-specific SLE estimates for females (270.6/100,000) and males (53.8/100,000). In 2018, 204,295 persons (95% CI:160,902,261,725) in the U.S. fulfilled ACR SLE classification criteria. CONCLUSIONS: A coordinated network of population-based SLE registries provided more accurate estimates for SLE prevalence and numbers affected in the U.S.

PURPOSE: To examine primary care providers' (PCPs) physical activity assessment and recommendation behaviors for adults with arthritis. DESIGN: Cross-sectional. SETTING: 2018 DocStyles online national market research survey of US physicians and nurse practitioners. SAMPLE: 1,389 PCPs seeing adults with arthritis. MEASURES: 2 independent behaviors (assessment and recommendation) as 3 non-mutually exclusive groups: "always assesses," "always recommends," and "both" ("always assesses and recommends"). ANALYSIS: Calculated percentages of each group (overall and by PCP characteristics), and multivariable-adjusted prevalence ratios (PRs) using binary logistic regression. RESULTS: Among PCPs, 49.2% always assessed and 57.7% always recommended physical activity; 39.7% did both. Across all 3 groups, percentages were highest for seeing ≥20 adults with arthritis weekly ("both": 56.4%; "always assesses": 66.7%; "always recommends": 71.3%) and lowest among obstetrician/gynecologists ("both": 26.9%; "always assesses": 36.8%; "always recommends": 40.7%). Multivariable-adjusted associations were strongest for seeing ≥20 adults with arthritis weekly (referent: 1-9 adults) and each of "always assesses" (PR = 1.5 [95% confidence interval (CI): 1.3-1.8] and "both" (PR = 1.6 [95% CI: 1.4-1.9]). CONCLUSIONS: Approximately 40% of PCPs sampled always engaged in both behaviors (assessing and recommending physical activity) with adults with arthritis; seeing a high volume of adults with arthritis was consistently related to engaging in each behavior. Evidence-based approaches to support PCP counseling include offering provider education and training, raising awareness of available resources, and using health system supports.

OBJECTIVE: To analyze trends in opioid prescriptions during visits to office-based physicians made by adults with arthritis in the US from 2006 to 2015. METHODS: We analyzed nationally representative data on patient visits to office-based physicians from the National Ambulatory Medical Care Survey (NAMCS) 2006-2015. Visit percentages for first- and any-listed diagnosis of arthritis by age groups and sex are reported. Time points were grouped into 2-year intervals to increase the reliability of estimates. Annual percentage point change and 95% CI were reported from linear regression models. RESULTS: During 2006-2015, the percentage of visits to office-based physicians by adults with a first-listed diagnosis of arthritis increased from 4.1% (95%CI: 3.5%-4.7%) in 2006-2007 to 5.1% (95% CI: 3.9%-6.6%) in 2014-2015 (p=.033). Among these visits, the percentage of visits with opioids prescribed increased from 16.5% (95%CI: 13.1%-20.5%) in 2006-2007 to 25.6% (95%CI: 17.9%-34.6%) in 2014-2015 (p=.017). The percentage of visits with any-listed diagnosis of arthritis increased from 6.6% (95%CI: 5.9%-7.4%) in 2006-2007 to 8.4% (95%CI: 7.0%-10.0%) in 2014-2015 (p=.001). Among these visits the percentage of visits with opioids prescribed increased from 17.4% (95%CI: 14.6%-20.4%) in 2006-2007 to 25.0% (95%CI: 19.7%-30.8%) in 2014-2015 (p=.004). CONCLUSION: During 2006-2015, the percentage of arthritis visits by adults to office-based physicians increased and the percentage of opioids prescribed at these visits increased as well. NAMCS data will allow continued monitoring of these trends after guidelines were implemented.

INTRODUCTION: Limited estimates of prescribed opioid use among adults with arthritis exist. All-cause (i.e., for any condition) prescribed opioid dispensed (referred to as opioid prescription in the remainder of this abstract) in the past 12 months among U.S. adults aged ≥18 years (n=35,427) were studied, focusing on adults with arthritis (n=12,875). METHODS: In 2018-2019, estimates were generated using Medical Expenditure Panel Survey data: (1) 2015 prevalence of 1 or more opioid prescriptions to U.S. adults overall and by arthritis status and (2) in 2014-2015, among adults with arthritis, multivariable-adjusted associations between 1 or more opioid prescriptions and sociodemographic characteristics, health status, and healthcare utilization characteristics. RESULTS: In 2015, the age-standardized prevalence of 1 or more opioid prescriptions among adults with arthritis (29.6%) was almost double of that for all adults (15.4%). Adults with arthritis represented more than half of all adults (55.3%) with at least 1 opioid prescription; among those with 1 or more prescriptions, 43.2% adults had 4 or more prescriptions. The strongest multivariable-adjusted associations with 1 or more opioid prescriptions were ambulatory care visits (1-4: prevalence ratios=1.9-2.0, 5-8: prevalence ratios=2.5-2.7, 9 or more: prevalence ratios=3.4-3.7) and emergency room visits (1: prevalence ratios=1.6, 2-3: prevalence ratios=1.9-2.0, 4 or more: prevalence ratios=2.4); Ref for both: no visits. CONCLUSIONS: Adults with arthritis are a high-need target group for improving pain management, representing more than half of all U.S. adults with 1 or more opioid prescriptions. The association with ambulatory care visits suggests that providers have routine opportunities to discuss comprehensive and integrative pain management strategies, including low-cost evidence-based self-management approaches (e.g., physical activity, self-management education programs, cognitive behavioral therapy). Those with multiple opioid prescriptions may need extra support if transitioning to nonopioid and nonpharmacologic pain management strategies.

BACKGROUND: Medication access and adherence are important determinants of health outcomes. We investigated factors associated with access and cost-related non-adherence to prescriptions in a population-based cohort of systemic lupus erythematosus (SLE) patients and controls. METHODS: Detailed sociodemographic and prescription data were collected by structured interview in 2014-2015 from participants in the Michigan Lupus Epidemiology & Surveillance (MILES) Cohort. We compared access between cases and frequency-matched controls and examined associated factors in separate multivariable logistic regression models. RESULTS: 654 participants (462 SLE cases, 192 controls) completed the baseline visit; 584 (89%) were female, 285 (44%) black, and mean age was 53 years. SLE cases and controls reported similar frequencies of being unable to access prescribed medications (12.1% vs 9.4%, respectively; p=NS). SLE patients were twice as likely as controls to report cost-related prescription non-adherence in the preceding 12 months to save money (21.7% vs 10.4%; p=0.001), but also more likely to ask their doctor for lower cost alternatives (23.8% vs 15.6%, p=0.02). Disparities were found in association with income, race and health insurance status, but main findings persisted after adjusting for these and other variables in multivariable models. CONCLUSION: SLE patients were more likely than controls from the general population to report cost-related prescription non-adherence, including skipping doses, taking less medicine and delaying filling prescriptions, yet less than 1 in 4 patients asked providers for lower cost medications. Consideration of medication costs in patient decision-making could provide a meaningful avenue for improving access and adherence to medications.

OBJECTIVE: We examined psychometric performance of Patient-Reported Outcomes Measurement Information System (PROMIS) measures in a racially/ethnically and linguistically diverse cohort with systemic lupus erythematosus (SLE). METHODS: Data were from the California Lupus Epidemiology Study, a multiracial/multiethnic cohort of individuals with physician-confirmed SLE. The majority (n = 332) attended in-person research visits that included interviews conducted in English, Spanish, Cantonese, or Mandarin. Up to 12 PROMIS short forms were administered (depending on language availability). An additional 99 individuals completed the interview by phone only. Internal consistency was examined with Cronbach's alpha and item-total correlations. Correlations with the Short Form 36 subscales and both self-reported and physician-assessed disease activity assessed convergent validity. All analyses were repeated within each racial/ethnic group. Differences in scores by race/ethnicity were examined in bivariate analyses and by multiple regression analyses controlling for age, sex, disease duration, and disease damage and activity. RESULTS: The total sample was 30.0% white, 22.3% Hispanic, 10.9% African American, 33.7% Asian, and 3.0% other race/ethnicity. Seventy-seven percent of interviews were conducted in-person. Non-English interviews were conducted in 26.0% of the Hispanic subjects and 18.6% of the Asian subjects. Each scale demonstrated adequate reliability and validity overall and within racial/ethnic groups. Minimal floor effects were observed, but ceiling effects were noted. Missing item responses were minimal for most scales, except for items related to work. No differences were noted by mode of administration or by language of administration among Hispanics and Asians. After accounting for differences in disease status, age, and sex, few differences in mean scores between whites and other racial/ethnic groups were noted. CONCLUSION: PROMIS measures appear reliable and valid in persons with lupus across racial/ethnic groups.

What is already known about this topic? Persons with arthritis have unique challenges because the interplay between anxiety, depression, and chronic pain is cyclical, with each having the potential to exacerbate the others. What is added by this report? In 2017, frequent mental distress and history of depression were commonly reported by adults with arthritis in all states, with clustering of high prevalence of frequent mental distress in Appalachian and southern states. What are the implications for public health practice? All adults with arthritis might benefit from systematic mental health screening by their health care team (if needed, referral to mental health services) and participation in evidence-based interventions such as physical activity and self-management education programs whose proven benefits include reduced pain and improved mental health. © 2020 Department of Health and Human Services. All rights reserved.

Objective Epidemiological data for primary discoid lupus erythematosus (pDLE) remain limited, particularly for racial/ethnic populations in the USA. The Manhattan Lupus Surveillance Program (MLSP) is a population-based retrospective registry of cases with SLE and related diseases including pDLE in Manhattan and was used to provide estimates of the prevalence and incidence of pDLE across major racial/ethnic populations. Methods MLSP cases were identified from rheumatologists, hospitals and population databases. Two case definitions were used for pDLE: the primary case definition which was any physician diagnosis found in the chart and a secondary case definition which was limited to cases diagnosed by a rheumatologist and/or dermatologist. Rates among Manhattan residents were age-adjusted, and capture-recapture analyses were conducted to assess case under-ascertainment. Results Based on the primary definition, age-adjusted overall prevalence and incidence rates of pDLE among Manhattan residents were 6.5 and 0.8 per 100 000 person-years, which increased to 9.0 and 1.3 after capture-recapture adjustment. Prevalence and incidence rates were approximately two and six times higher, respectively, among women compared with men (p<0.0001). Higher prevalence was also found among non-Latino blacks (23.5) and Latinos (8.2) compared with non-Latino whites (1.8) and non-Latino Asians (0.6) (p<0.0001). Incidence was highest among non-Latino blacks (2.4) compared with all other racial/ethnic groups. Similar relationships were observed for the secondary case definition. Conclusion Data from the MLSP provide epidemiological estimates for pDLE among the major racial/ethnic populations in the USA and reveal disparities in pDLE prevalence and incidence by sex and race/ethnicity among Manhattan residents.