Davis, John M

ObjectiveTo examine trends in glucocorticoid (GC) use and dosing among patients diagnosed with rheumatoid arthritis (RA) over time.MethodsA population‐based inception cohort of RA patients diagnosed during 1980–2007 was followed longitudinally through their medical records until death, migration, or December 31, 2008. GC start and stop dates were collected, along with doses in prednisone equivalents.ResultsThe study population comprised 349 patients (68% women) diagnosed in 1980–1994 and 464 (69% women) diagnosed in 1995–2007, with a median followup of 15.3 and 5.7 years, respectively. A higher proportion of patients started GCs in their first year of disease in 1995–2007 (68% versus 36%; P < 0.001), but the starting dose (mean 8.7 versus 10.3 mg; P = 0.08) and cumulative dose in the first year of use (mean 1.8g [mean daily dose 4.9 mg] versus 2.1 gm [mean daily dose 5.8 mg]; P = 0.48) were not different. A higher proportion also discontinued GCs in their first year of disease in the 1995–2007 cohort (P < 0.001). These differences in GC initiation and discontinuation persisted throughout followup. Prevalence of GC use was higher in the 1995–2007 cohort for the first 3 years of disease.ConclusionMore patients are starting GCs early in their disease course now compared to previously, which is consistent with established treatment guidelines. A higher proportion are also discontinuing GCs, but the proportion of patients taking GCs at any given point of disease during the first 4 years is higher now than previously. Despite early addition of a disease‐modifying antirheumatic drug, some patients may not be able to discontinue GCs over the long term.

ObjectiveTo determine whether the impact of aging on cardiovascular disease (CVD) risk in patients with rheumatoid arthritis (RA) differs from that in the general population (as estimated by the Framingham Risk Score [FRS]).MethodsA population‐based inception cohort of Olmsted County, Minnesota residents ages ≥30 years who fulfilled the American College of Rheumatology 1987 criteria for RA in 1988–2008 was assembled and followed up until death, migration, or July 1, 2012. Data on CVD events were collected by medical records review. The 10‐year FRS for CVD was calculated. Cox models adjusted for FRS were used to examine the influence of age on CVD risk.ResultsThe study included 563 patients with RA without prior CVD (mean age 55 years, 72% women, and 69% seropositive [i.e., rheumatoid factor and/or anti–citrullinated protein antibody positive]). During a mean followup of 8.2 years, 98 patients developed CVD (74 seropositive and 24 seronegative), but the FRS predicted only 59.7 events (35.4 seropositive and 24.3 seronegative). The gap between observed and predicted CVD risk increased exponentially across age, and the effect of age on CVD risk in seropositive RA was nearly double its effect in the general population, with additional log(age) coefficients of 2.91 for women (P = 0.002) and 2.06 for men (P = 0.027).ConclusionOur findings indicate that age exerts an exponentially increasing effect on CVD risk in seropositive RA, but no increased effect among seronegative patients. The causes of accelerated aging in patients with seropositive RA deserve further investigation.

ObjectiveTo study left ventricular (LV) geometry in patients with rheumatoid arthritis (RA) and no history of heart failure compared with that in subjects with neither RA nor a history of heart failure, and to determine the impact of RA on LV remodeling.MethodsA cross‐sectional, community‐based study was conducted among adult (age ≥50 years) patients with RA and age‐ and sex‐matched subjects with neither RA nor a history of heart failure. All participants underwent standard 2‐dimensional Doppler echocardiography. LV geometry was classified into the following 4 categories based on relative wall thickness and sex‐specific cutoffs for the LV mass index: concentric remodeling, concentric hypertrophy, eccentric hypertrophy, or normal geometry.ResultsAmong 200 patients with RA and 600 age‐ and sex‐matched subjects without RA, the mean age was 65 years, and 74% of the individuals in both cohorts were female. Compared with subjects without RA, patients with RA were significantly more likely to have abnormal LV geometry (odds ratio [OR] 1.44, 95% confidence interval [95% CI] 1.03–2.00), even after adjusting for cardiovascular risk factors and comorbidities. Among subjects with abnormal LV geometry, the odds of concentric LV remodeling were significantly increased in patients with RA (OR 4.73, 95% CI 2.85–7.83). In linear regression analyses, the LV mass index appeared to be lower in patients with RA who were currently receiving corticosteroids (β ± SE −0.082 ± 0.027, P = 0.002), even after adjusting for cardiovascular risk factors and comorbidities.ConclusionRA was strongly associated with abnormal LV remodeling (particularly concentric LV remodeling) among RA patients without heart failure. This association remained significant after adjustment for cardiovascular risk factors and comorbidities. RA disease–related factors may promote changes in LV geometry. The biologic mechanisms underlying LV remodeling warrant further investigation.

Abstract The advent of improved biomarkers promises to enhance the clinical care for patients with rheumatoid arthritis (RA) and other immune-mediated disorders. We have developed an innovative approach to broadly assess the cytokine responsiveness of human PBMCs using a multistimulant panel and multiplexed immunoassays. The objective of this study was to demonstrate this concept by determining whether cytokine profiles could discriminate RA patients according to disease stage (early versus late) or severity. A 10-cytokine profile, consisting of IL-12, CCL4, TNF-α, IL-4, and IL-10 release in response to stimulation with anti-CD3/anti-CD28, CXCL8 and IL-6 in response to CMV and EBV lysate, and IL-17A, GM-CSF, and CCL2 in response to human heat shock protein 60, easily discriminated the early RA group from controls. These data were used to create an immune response score, which performed well in distinguishing the early RA patients from controls and also correlated with several markers of disease severity among the patients with late RA. In contrast, the same 10-cytokine profile assessed in serum was far less effective in discriminating the groups. Thus, our approach lays the foundation for the development of immunologic “signatures” that could be useful in predicting disease course and monitoring the outcomes of therapy among patients with immune-mediated diseases.