Risk for Serious Infection With Low-Dose Glucocorticoids in Patients With Rheumatoid Arthritis : A Cohort Study.

BACKGROUND: Low-dose glucocorticoids are frequently used for the management of rheumatoid arthritis (RA) and other chronic conditions, but the safety of long-term use remains uncertain. OBJECTIVE: To quantify the risk for hospitalized infection with long-term use of low-dose glucocorticoids in patients with RA receiving stable disease-modifying antirheumatic drug (DMARD) therapy. DESIGN: Retrospective cohort study. SETTING: Medicare claims data and Optum's deidentified Clinformatics Data Mart database from 2006 to 2015. PATIENTS: Adults with RA receiving a stable DMARD regimen for more than 6 months. MEASUREMENTS: Associations between glucocorticoid dose (none, ≤5 mg/d, >5 to 10 mg/d, and >10 mg/d) and hospitalized infection were evaluated using inverse probability-weighted analyses, with 1-year cumulative incidence predicted from weighted models. RESULTS: 247 297 observations were identified among 172 041 patients in Medicare and 58 279 observations among 44 118 patients in Optum. After 6 months of stable DMARD use, 47.1% of Medicare patients and 39.5% of Optum patients were receiving glucocorticoids. The 1-year cumulative incidence of hospitalized infection in Medicare patients not receiving glucocorticoids was 8.6% versus 11.0% (95% CI, 10.6% to 11.5%) for glucocorticoid dose of 5 mg or less per day, 14.4% (CI, 13.8% to 15.1%) for greater than 5 to 10 mg/d, and 17.7% (CI, 16.5% to 19.1%) for greater than 10 mg/d (all P < 0.001 vs. no glucocorticoids). The 1-year cumulative incidence of hospitalized infection in Optum patients not receiving glucocorticoids was 4.0% versus 5.2% (CI, 4.7% to 5.8%) for glucocorticoid dose of 5 mg or less per day, 8.1% (CI, 7.0% to 9.3%) for greater than 5 to 10 mg/d, and 10.6% (CI, 8.5% to 13.2%) for greater than 10 mg/d (all P < 0.001 vs. no glucocorticoids). LIMITATION: Potential for residual confounding and misclassification of glucocorticoid dose. CONCLUSION: In patients with RA receiving stable DMARD therapy, glucocorticoids were associated with a dose-dependent increase in the risk for serious infection, with small but significant risks even at doses of 5 mg or less per day. Clinicians should balance the benefits of low-dose glucocorticoids with this potential risk. PRIMARY FUNDING SOURCE: National Institute of Arthritis and Musculoskeletal and Skin Diseases.

Medication Interruptions and Subsequent Disease Flares During the COVID-19 Pandemic: A Longitudinal Online Study of Patients With Rheumatic Disease.

OBJECTIVE: We aimed to assess trends in anxiety and interruptions in disease-modifying antirheumatic drug (DMARD) use among patients with rheumatic diseases during the COVID-19 pandemic and to evaluate whether DMARD interruptions were associated with disease flares. METHODS: ArthritisPower, the Vasculitis Patient-Powered Research Network, and other patient organizations invited members to join a 52-week longitudinal study, with baseline surveys completed March 29 to June 30, 2020, with follow-up through May 2021. Logistic regression incorporating generalized estimating equations evaluated associations between interruptions in DMARD use and self-reported disease flares at the next survey, adjusting for demographic characteristics, medications, disease, and calendar time. RESULTS: Among 2,424 patients completing a median of 5 follow-up surveys, the mean age was 57 years, 87% were female, and the most common conditions were rheumatoid arthritis, vasculitis, and psoriatic arthritis. Average Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety T scores decreased from April 2020 (58.7) to May 2021 (53.7) (P < 0.001 for trend). Interruptions in DMARD use decreased from April (11.2%) to December 2020 (7.5%) (P < 0.001) but increased through May 2021 (14.0%) (P < 0.001). Interruptions in DMARD use were associated with a significant increase in severe flares (rated ≥6 of 10) at the next survey (12.9% versus 8.0% [odds ratio (OR) 1.71 (95% confidence interval [95% CI 1.23, 2.36]) although not any flare (OR 1.18 [95% CI 0.89, 1.58])]. CONCLUSION: Anxiety and interruptions in DMARD use initially decreased over time, but DMARD interruptions increased during 2021, possibly related to an increase in COVID-19 cases or vaccine availability. Interruptions in DMARD use were associated with increased rates of severe disease flares, highlighting the importance of avoiding unnecessary DMARD interruptions.

Maximum Daily Temperature, Precipitation, Ultraviolet Light, and Rates of Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 in the United States.

BACKGROUND: Previous reports have suggested that transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is reduced by higher temperatures and higher humidity. We analyzed case data from the United States to investigate the effects of temperature, precipitation, and ultraviolet (UV) light on community transmission of SARS-CoV-2. METHODS: Daily reported cases of SARS-CoV-2 across the United States from 22 January 2020 to 3 April 2020 were analyzed. We used negative binomial regression modeling to determine whether daily maximum temperature, precipitation, UV index, and the incidence 5 days later were related. RESULTS: A maximum temperature above 52°F on a given day was associated with a lower rate of new cases at 5 days (incidence rate ratio [IRR], 0.85 [0.76, 0.96]; P = .009). Among observations with daily temperatures below 52°F, there was a significant inverse association between the maximum daily temperature and the rate of cases at 5 days (IRR, 0.98 [0.97, 0.99]; P = .001). A 1-unit higher UV index was associated with a lower rate at 5 days (IRR, 0.97 [0.95, 0.99]; P = .004). Precipitation was not associated with a greater rate of cases at 5 days (IRR, 0.98 [0.89, 1.08]; P = .65). CONCLUSIONS: The incidence of disease declines with increasing temperature up to 52°F and is lower at warmer vs cooler temperatures. However, the association between temperature and transmission is small, and transmission is likely to remain high at warmer temperatures.

Risk of COVID-19 in Rheumatoid Arthritis: A National Veterans Affairs Matched Cohort Study in At-Risk Individuals.

OBJECTIVE: Rheumatoid arthritis (RA) and its treatments are associated with an increased risk of infection, but it remains unclear whether these factors have an impact on the risk or severity of COVID-19. The present study was undertaken to assess the risk and severity of COVID-19 in a US Department of Veterans Affairs (VA) cohort of patients with RA and those without RA. METHODS: A matched cohort study using national VA data was conducted. Patients diagnosed as having RA were identified among nondeceased individuals who were active in the VA health care system as of January 1, 2020 and who had received care in a VA medical center in 2019; patients for whom no RA diagnostic code was indicated were matched to the RA patients (1:1) by age, sex, and VA site (non-RA controls). Patients diagnosed as having COVID-19 and those with severe COVID-19 (defined as requiring hospitalization or leading to death) were ascertained from a national VA COVID-19 surveillance database through December 10, 2020. Multivariable Cox models were used to compare the risk of COVID-19 and COVID-19 hospitalization or death between RA patients and non-RA controls, after adjusting for demographic characteristics, comorbidities, health care utilization and access, and county-level COVID-19 incidence rates. RESULTS: This VA cohort of RA patients and non-RA controls (n = 33,886 subjects per group) predominantly comprised male patients (84.5%), and the mean age was 67.8 years. During follow-up, 1,503 patients in the cohort were diagnosed as having COVID-19; among them, 388 patients had severe COVID-19 (hospitalization or death), while in 228 patients, the deaths were not related to COVID-19. In the multivariable model, RA was associated with a higher risk of COVID-19 (adjusted hazard ratio [HR] 1.25 [95% confidence interval (95% CI) 1.13-1.39]) and a higher risk of COVID-19 hospitalization or death (adjusted HR 1.35 [95% CI 1.10-1.66]) as compared to non-RA controls. Use of disease-modifying antirheumatic drugs and prednisone, as well as self-reported Black race, self-reported Hispanic ethnicity, and presence of several chronic conditions, but not seropositivity for RA autoantibodies, were each associated with risk of COVID-19 and severe COVID-19 (hospitalization or death). CONCLUSION: Patients with RA are at higher risk of developing COVID-19 and severe COVID-19 (leading to hospitalization or death) compared to those without RA. With a risk of COVID-19 that approaches that of other recognized chronic conditions, these findings suggest that RA patients should be prioritized for COVID-19 prevention and management strategies.

Social Distancing, Health Care Disruptions, Telemedicine Use, and Treatment Interruption During the COVID-19 Pandemic in Patients With or Without Autoimmune Rheumatic Disease.

BACKGROUND: We aimed to compare concerns, social distancing, health care disruptions, and telemedicine use in patients with autoimmune rheumatic disease (ARD) and non-ARD and to evaluate factors associated with immunomodulatory medication interruptions. METHODS: Patients in a multistate community rheumatology practice network completed surveys from April 2020 to May 2020. Adults with common ARD (rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus) or non-ARD (gout, osteoarthritis, osteoporosis) were evaluated. Concerns about coronavirus disease 2019 (COVID-19), social distancing, health care disruptions, and telemedicine use were compared in patients with ARD versus non-ARD, adjusting for demographics, rural residence, and zipcode-based measures of socioeconomic status and COVID-19 activity. Factors associated with medication interruptions were assessed in patients with ARD. RESULTS: Surveys were completed by 2319/36 193 (6.4%) patients with non-ARD and 6885/64 303 (10.7%) with ARD. Concerns about COVID-19 and social distancing behaviors were similar in both groups, although patients receiving a biologic or Janus kinase (JAK) inhibitor reported greater concerns and were more likely to avoid friends/family, stores, or leaving the house. Patients with ARD were less likely to avoid office visits (45.2% vs. 51.0%, odds ratio [OR] 0.79 [0.70-0.89]) with similar telemedicine use. Immunomodulatory medications were stopped in 9.7% of patients with ARD, usually (86.9%) without a physician recommendation. Compared with patients with an office visit, the likelihood of stopping medication was higher for patients with a telemedicine visit (OR 1.54 [1.19-1.99]) but highest for patients with no visits (OR 2.26 [1.79-2.86]). CONCLUSION: Patients with ARD and non-ARD reported similar concerns about COVID-19 and similar social distancing behaviors. Missed office visits were strongly associated with interruptions in immunomodulatory medication.

Concerns, Healthcare Use, and Treatment Interruptions in Patients With Common Autoimmune Rheumatic Diseases During the COVID-19 Pandemic.

OBJECTIVE: To assess concerns and healthcare-related behaviors of patients with autoimmune rheumatic diseases during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Adults from the United States with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), and systemic lupus erythematosus (SLE) from the ArthritisPower Patient-Powered Research Network and CreakyJoints patient community completed surveys. Concerns and behaviors were compared among patients with different autoimmune conditions, disease-modifying antirheumatic drug (DMARD) use, and geographic measures of urban status, income, education, and COVID-19 activity. RESULTS: Among 1517 participants (925 RA, 299 PsA, 185 AS, 108 SLE), mean age was 55.1 years, 88.3% were female, and 89.5% were White. COVID-19 concerns were similar across the country and were higher in biologic users (P < 0.001). Avoidance of doctor's office visits (56.6%) or laboratory testing (42.3%) and use of telehealth (29.5%) were more common in urban areas. Among participants receiving a DMARD without COVID-19 or other respiratory illness, 14.9% stopped a DMARD, with 78.7% of DMARD interruptions not recommended by a physician. DMARD stopping was more common in participants with lower socioeconomic status (SES) and in participants who avoided an office visit (OR 1.46, 95% CI 1.04-2.04) or reported lack of telehealth availability OR 2.26 (95% CI 1.25-4.08). CONCLUSION: In the early months of the COVID-19 pandemic, patients with RA, PsA, AS, and SLE frequently avoided office visits and laboratory testing. DMARD interruptions commonly occurred without the advice of a physician and were associated with SES, office visits, and telehealth availability, highlighting the need for adequate healthcare access and attention to vulnerable populations during the pandemic.

Cell Phone Activity in Categories of Places and Associations With Growth in Cases of COVID-19 in the US.

Importance: It is unknown how well cell phone location data portray social distancing strategies or if they are associated with the incidence of coronavirus disease 2019 (COVID-19) cases in a particular geographical area. Objective: To determine if cell phone location data are associated with the rate of change in new COVID-19 cases by county across the US. Design, Setting, and Participants: This cohort study incorporated publicly available county-level daily COVID-19 case data from January 22, 2020, to May 11, 2020, and county-level daily cell phone location data made publicly available by Google. It examined the daily cases of COVID-19 per capita and daily estimates of cell phone activity compared with the baseline (where baseline was defined as the median value for that day of the week from a 5-week period between January 3 and February 6, 2020). All days and counties with available data after the initiation of stay-at-home orders for each state were included. Exposures: The primary exposure was cell phone activity compared with baseline for each day and each county in different categories of place. Main Outcomes and Measures: The primary outcome was the percentage change in COVID-19 cases 5 days from the exposure date. Results: Between 949 and 2740 US counties and between 22 124 and 83 745 daily observations were studied depending on the availability of cell phone data for that county and day. Marked changes in cell phone activity occurred around the time stay-at-home orders were issued by various states. Counties with higher per-capita cases (per 100 000 population) showed greater reductions in cell phone activity at the workplace (ß, -0.002; 95% CI, -0.003 to -0.001; P < 0.001), areas classified as retail (ß, -0.008; 95% CI, -0.011 to -0.005; P < 0.001) and grocery stores (ß, -0.006; 95% CI, -0.007 to -0.004; P < 0.001), and transit stations (ß, -0.003, 95% CI, -0.005 to -0.002; P < 0.001), and greater increase in activity at the place of residence (ß, 0.002; 95% CI, 0.001-0.002; P < 0.001). Adjusting for county-level and state-level characteristics, counties with the greatest decline in workplace activity, transit stations, and retail activity and the greatest increases in time spent at residential places had lower percentage growth in cases at 5, 10, and 15 days. For example, counties in the lowest quartile of retail activity had a 45.5% lower growth in cases at 15 days compared with the highest quartile (SD, 37.4%-53.5%; P < .001). Conclusions and Relevance: Our findings support the hypothesis that greater reductions in cell phone activity in the workplace and retail locations, and greater increases in activity at the residence, are associated with lesser growth in COVID-19 cases. These data provide support for the value of monitoring cell phone location data to anticipate future trends of the pandemic.