Ethnic Disparities in Atherosclerotic Cardiovascular Disease Incidence and Prevalence Among Rheumatoid Arthritis Patients in the United States: a Systematic Review

An assessment of cardiovascular disease hospitalizations and disparities by race in patients with rheumatic disease hospitalizations in Alaska, 2015-2018

BACKGROUND

There is an increased risk of cardiovascular disease in people with many rheumatic diseases. The primary objective of this study was to evaluate cardiovascular disease hospitalizations in Alaska for people with and without a rheumatic disease diagnosis and assess disparities by race, with a focus on Alaska Native and American Indian people.

METHODS

This study used the Alaska Health Facilities Data Reporting Program data on inpatient hospitalizations from 2015 to 2018. We identified people with a rheumatic disease diagnosis based on any hospitalization with a set of rheumatic disease diagnoses and compared them to people hospitalized but without a rheumatic disease diagnosis. We determined the odds of cardiovascular disease hospitalization by rheumatic disease diagnosis and assessed the influence of race and other factors, using univariate analyses and multivariable models.

RESULTS

People with a rheumatic disease diagnosis other than osteoarthritis had higher odds of cardiovascular disease hospitalization. The odds ratio was highest in people with gout compared to other rheumatic diseases. In multivariable models, there was an interaction between race and rheumatic disease status. Specifically, having gout increased the odds of cardiovascular disease hospitalization for people of all races, while having a rheumatic disease other than gout or osteoarthritis increased the odds of cardiovascular disease hospitalization in Alaska Native/American Indian people but not in people of other races.

CONCLUSIONS

The association between rheumatic disease status and cardiovascular disease hospitalization in Alaska varied by type of rheumatic disease and race. This adds substantially to the literature on associations between rheumatic disease and cardiovascular disease in Indigenous North American populations.

Newly developed cardiovascular risk factors in rheumatoid arthritis patients initiating biologic treatment

Introduction

Rheumatoid arthritis (RA) is a risk factor (RF) for cardiovascular (CV) disease, a leading cause of mortality in RA patients.

Material and methods

Consecutive records of RA patients with high disease activity screened upon biologic therapy initiation were reviewed between January 2001 and 2018. Patients with at least 6-month follow-up and baseline disease activity scores were enrolled (n = 353) and stratified into manifest CV disorder ("overt CVD"), any traditional CV risk factor ("atCVrisk") and no CV risk factor ("vlCVrisk") groups.

Results

Overall, mean (SD) patient age was 51.4 (±12.2) years, and 291 (82.4%) subjects were female. Median follow-up was 41.9 (IQR 18.6, 80) months. Overall, 89 (25.2%) individuals developed at least one new CV RF, of which 65 (18.4%) acquired one and 24 (6.8%) two or more. Incident lipid disorders (42, 11.9%), followed by hypertension (14, 4%), atrial fibrillation (17, 4.8%) and venous thromboembolism (VTE) (16, 4.5%), were common. Incident major adverse cardiac events (MACE) were not reported in the vlCVrisk group, in contrast to atCVrisk (n = 8, 4.2%) or overt CVD (n = 4, 18.2%). Age was a significant predictor of incident CV risk factor (HR 1.04, 95% CI: 1.02-1.07; p < 0.01). In age-adjusted analyses, only baseline body mass index (BMI) (HR 1.11, 95% CI: 1.04-1.18; p < 0.01), but not ever smoking (p = 0.93), male sex (p = 0.26), positive RF (p = 0.24), positive ACPA (p = 0.90), or baseline disease activity (p = 0.19), were independent predictor of incident CV risk factors.

Conclusions

Patients with RA initiating biologics should be screened for cardiometabolic risk factors, especially at an older age. The presence of at least one risk factor may be linked to a worse long-term prognosis.

Time-averaged DAS28 and HAQ predict cardiovascular disease in patients with rheumatoid arthritis: data from KORONA registry

OBJECTIVE

To evaluate the predictive role of time-averaged disease activity score (DAS)28 and Health Assessment Questionnaire (HAQ) on cardiovascular disease (CVD) events in patients with rheumatoid arthritis (RA).

METHODS

Patients with RA were recruited from 23 tertiary hospitals. Baseline and annual follow-up data of demographic, laboratory, questionnaire, RA-associated parameters, and occurrence of CVD were collected. Patients were divided into three groups according to time-averaged DAS28: 1) remission (&lt;2.6), 2) low (2.6-3.2), 3) moderate (3.2-5.1), and 4) high (&gt;5.1). Kaplan-Meier curves was performed to compare the cumulative probability of CVD. Hazard ratios of each factor on the occurrence of CVD were obtained using Cox regression analyses.

RESULTS

A total of 4,034 RA patients with 826 for remission, 938 for low, 2,002 for moderate, and 268 for high time-averaged DAS28 groups were included. Baseline age, disease duration, ESR, CRP, DAS28, and HAQ scores were higher in the high time-averaged DAS28 group. The incidence rate of CVD was 2.86, 2.71, 3.53, and 8.13 events per 1,000 person-years for the remission, low, moderate, and high time-averaged DAS28 groups, respectively. The incidence rate ratio of CVD in the high time-averaged DAS28 group were 3.01 (95% CI 1.20-8.50) when compared to low time-averaged DAS28 group. The cumulative hazard for CVD in the high time-averaged DAS28 group was significantly high (log-rank P&lt;0.01). In multivariate Cox regression analysis, age, high time-averaged DAS28, and time-averaged HAQ&gt;0.5, were positively associated with CVD events in RA patients.

CONCLUSIONS

In patients with RA, time-averaged DAS28 and HAQ could predict the occurrence of CVD.

TRIAL REGISTRATION

Clinical Research Information Service of South Korea https://cris.nih.go.kr: KCT0000086, registered May 26, 2009.

Epigenome association study for DNA methylation biomarkers in buccal and monocyte cells for female rheumatoid arthritis

Genetics (i.e., mutations) has been assumed to be the major factor in rheumatoid arthritis (RA) etiology, but accounts for a minority of the variance in disease risk for RA. In contrast to genetics, the environment can have dramatic impacts on epigenetics that associate with disease etiology. The current study used buccal cells and purified blood monocytes from two different clinical cohorts involving Caucasian or African American female populations with or without arthritis. The differential DNA methylation regions (DMRs) between the control and RA populations were identified with an epigenome-wide association study. The DMRs (i.e., epimutations) identified in the buccal cells and monocytes were found to be distinct. The DMR associated genes were identified and many have previously been shown to be associated with arthritis. Observations demonstrate DNA methylation epimutation RA biomarkers are cell type specific and similar findings were observed with the two racial background populations. Rheumatoid arthritis susceptibility epigenetic diagnosis appears feasible and may improve the clinical management of RA and allowpreventative medicine considerations.

The Key Comorbidities in Patients with Rheumatoid Arthritis: A Narrative Review

Comorbidities in patients with rheumatoid arthritis (RA) are often associated with poor health outcomes and increased mortality. Treatment decisions should take into account these comorbidities due to known or suspected associations with certain drug classes. In clinical practice, it is critical to balance potential treatment benefit against the possible risks for comorbidities as well as the articular manifestations of RA. This review summarises the current literature relating to prevalence and risk factors for the important comorbidities of cardiovascular disease, infections, lymphomas and nonmelanoma skin cancers in patients with RA. The impact on patient outcomes and the interplay between these comorbidities and the therapeutic options currently available, including tumour necrosis factor inhibitors and newer biological therapies, are also explored. As newer RA therapies are developed, and patients gain wider and earlier access to advanced therapies, in part due to the emergence of biosimilars, it is important to consider the prevention or treatment of comorbidities as part of the overall management of RA.