Prevalence and Correlates of Metabolic Syndrome in Patients With Rheumatoid Arthritis in Argentina:

Prevalence of Metabolic Syndrome in Patients With Rheumatoid Arthritis: An Updated Systematic Review and Meta-Analysis

Introduction

Rheumatoid arthritis (RA) due to systemic inflammation and insulin resistance increases the risk of cardiovascular disease and reduces life expectancy. In order to develop cardiac death prevention strategies, it is necessary to estimate the prevalence of metabolic syndrome (MetS) in these patients.

Methods

This systematic review and meta-analysis was performed to estimate the prevalence of MetS among patients with RA. International databases (i.e., Scopus, PubMed, Web of Science, and Google Scholar) were searched during the period of October 1 and October 10, 20121. Heterogeneity among the included studies was assessed through the Cochrane Q test statistics and I² test. Finally, a random-effects meta-analysis model was computed to estimate the pooled prevalence of MetS.

Results

Sixty-one articles with 96 groups and a sample size of 13,644 people were analyzed. The pooled prevalence of MetS was 32% (95% CI: 29.6–34.4). The highest prevalence of MetS is related to studies conducted in Asia (32.7%, 95% CI: 29–36.3) and Europe (32.7%, 95% CI: 27.5.37.9) and the lowest Prevalence was also related to studies conducted in Africa (28%, 95% CI: 28.8–32.2). The prevalence of MetS in men was 33% (95% CI: 26–39) and 34% (95% CI: 29–40) in women. Findings by diagnostic criteria showed that the highest and lowest prevalence of MetS was related to ATP III (37.5%, 95% CI: 30.9–44.2) and EGIR (14.4%, 95% CI: 10.5–18.5), respectively.

Conclusions

MetS is highly prevalent in patients with RA and identification of high-risk patients is necessary to prevent cardiovascular mortality.

Prevalence of metabolic syndrome in patients with rheumatoid arthritis in eastern China-A hospital based study

OBJECTIVE

The purpose of this hospital clinic based study was to evaluate the potential risk factors associated with the prevalence of MetS in RA population.

METHODS

From January 2015 to October 2018, 717 patients with RA and 717 healthy controls who were treated or performed physical examination in Tianjin First Central Hospital were enrolled in this study. The basic disease diagnoses were recorded. A questionnaire was performed on all participants to assess the demographic details of the RA cohort. Moreover, laboratory indicators related to glucose and lipid metabolism in patients with RA were also detected. The potential risk factors for MetS were also analyzed.

RESULTS

The prevalence of MetS were 31.2% and 34.2% in case and control groups, respectively (P = .22). There were lower levels of HDL-C, obesity, TG, LDL-C and TC in case group than control group (all P < .05). The hypertension levels in healthy controls was decreased in compared with patients with RA (P < .05). Nevertheless, in patients with RA, complement 3 (OR: 1.02; 95% CI: 1.01-1.03, P = .007) and less glucocorticoids use (OR: 0.63, 95% CI: 0.39-0.99, P = .046) were associated with MetS.

CONCLUSION

The prevalence of MetS was not associated with RA. Complement 3 may be associated with the higher prevalence of MetS in patients with RA. Glucocorticoids treatment may be associated with MetS.

CCR2/CCL2 and CMKLR1/RvE1 chemokines system levels are associated with insulin resistance in rheumatoid arthritis

Rheumatoid arthritis (RA) has been associated with insulin resistance (IR). Due to an excess in storage of white adipose tissue, IR has an inflammatory process that overlaps with RA. This is performed by the activation/migration of monocytes carried out by the CCR2/CCL2 and CMKLR1/RvE1 chemokines systems. Furthermore, these can potentiate chronic inflammation which is the central axis in the immunopathogenesis of RA. We evaluated the association between the relative expression of CCR2 and CMKLR1 and the serum levels of their ligands CCL2 and RvE1, in the context of adiposity status with IR as a comorbidity in RA. We studied 138 controls and 138 RA-patients classified with and without IR. We evaluated adiposity, RA activity, IR status and immunometabolic profiles by routine methods. Insulin, CCL2 and RvE1 serum levels were determined by ELISA. Relative expression of CCR2, CMKLR1 and RPS28 as constitutive gene by SYBR green RT-qPCR and 2-ΔΔCT method. Increased measurements were observed of body adiposity and metabolic status as follows: RA with IR>control group with IR>RA without IR> control group without IR. CCR2 and CMKLR1 relative expression was increased in RA without IR versus control without IR. CCR2: 2.3- and 1.3-fold increase and CMKLR1: 3.5- and 2.7-fold increase, respectively. Whereas, CCR2 expression correlates with CMKLR1 expression (rho = 0.331) and IR status (rho = 0.497 to 0.548). CMKLR1 expression correlates with inflammation markers (rho = 0.224 to 0.418). CCL2 levels were increased in the RA groups but levels of RvE1 were increased in RA without IR. We conclude that in RA with IR, the chemokine receptors expression pattern showed a parallel increase with their respective ligands. RA and IR in conjunction with the pathological distribution of body fat mass might exacerbate chronic inflammation. These results suggest that high CCL2 levels and compensatory RvE1 levels might not be enough to resolve the inflammation by themselves.

Metabolic syndrome in rheumatoid arthritis patients: Relationship among its clinical components

BACKGROUND

Metabolic syndrome (MetS) prevalence in rheumatoid arthritis (RA) patients is known to vary considerably across the world. This study aimed to determine the prevalence of MetS in RA patients from western Mexico and to analyze the interrelation of the MetS components with the clinical variables of RA.

METHODS

This case-control study included 216 RA patients and 260 control subjects (CS). MetS prevalence was determined according to the NCEP/ATP III and the Latin American Consensus of the Latin American Diabetes Association (ALAD) criteria.

RESULTS

MetS was observed in 30.6% RA patients and 33.3% of controls (p > 0.05) according to NCEP/ATP III and 28.7% in RA patients and 31.1% for controls using ALAD criteria. Total cholesterol, LDL-C, and Castelli's I-II indexes were lower in RA (p < 0.001) than in CS. The RA patients with MetS had more swollen joints than those without MetS (p = 0.018). In RA patients with MetS, DAS-28 score correlated with smoking index (rho = 0.4601, p = 0.0004) and VLDL-C (rho = 0.3108, p = 0.0056); similarly, rheumatoid factor (RF) correlated with age (rho = 0.2031, p = 0.0027), smoking index (rho = 0.3404, p < 0.0001), triglycerides (rho = 0.1958, p = 0.0039), and VLDL-C (rho = 0.1761, p = 0.0162).

CONCLUSIONS

The MetS prevalence in RA patients from western Mexico is not higher than controls; however, in RA patients with MetS, some inflammatory markers are associated with MetS components; thus, the control of MetS in RA could be beneficial to regulate disease activity.

Basal metabolic rate and Charlson Comorbidity Index are independent predictors of metabolic syndrome in patients with rheumatoid arthritis

OBJECTIVE

To prospectively analyze predictors of metabolic syndrome (MetS) in patients with rheumatoid arthritis (RA) during 2years of follow-up.

METHODS

We recruited 319 consecutive patients with RA who did not have MetS. MetS was defined in accordance with the modified National Cholesterol Education Program/Adult Treatment Panel III 2005 for Asian populations. Sociodemographic data, laboratory findings, disease activity data, and medication history were collected during face-to-face interviews at baseline and follow-up. Independent predictors of MetS were assessed by univariate and multivariate logistic regression analyses.

RESULTS

Of the 247 patients with RA who completed the 2-year follow-up, 37 (15.0%) developed MetS. At baseline, these patients were older and had higher body mass index, waist circumference, waist-hip ratio, skeletal muscle mass, body fat mass, percent body fat, and Charlson Comorbidity Index scores, as well as lower basal metabolic rate (BMR). Moreover, these patients with MetS took less hydroxychloroquine and more oral hypoglycemic agents; they also had lower European Quality of Life Health-state Questionnaire scores. After exclusion of variables associated with MetS composition, multivariate analysis identified BMR (odds ratio [OR]=0.205, 95% confidence interval [CI]: 0.078-0.541, P=0.001) and Charlson Comorbidity Index score (OR=2.191, 95% CI: 1.280-3.751, P=0.004) as significant predictors of MetS.

CONCLUSIONS

Our study showed that the annual incidence rate of MetS was 11.5% in patients with RA. Moreover, the development of MetS was associated with BMR and Charlson Comorbidity Index score at baseline.

Diabetes mellitus and arthritis: is it a risk factor or comorbidity?: A systematic review and meta-analysis

BACKGROUND

Investigators have explored the association between diabetes mellitus and arthritis for a long time; however, there are uncertainties and inconsistencies among various studies. In this study, we tried to explore the relationship between diabetes mellitus and the overall risk of arthritis, as well as the potential modifiers for this relationship.

METHODS

We conducted a comprehensive literature search through PubMed and identified 36 eligible studies. The overall analyses, subgroup analyses, as well as sensitivity analyses, were conducted to illustrate the association between diabetes mellitus and arthritis. Study quality was evaluated using the Newcastle-Ottawa Quality Assessment Scale. All statistical analyses were conducted using STATA SE version 13.0.

RESULTS

In our study, 36 eligible studies were identified and involved in the meta-analysis. The overall association between diabetes mellitus and arthritis is 1.61 (95% confidence interval [CI]: 1.14-2.28, P = .007). The association exists only in nongouty arthritis, where we observed the estimated odds ratio (OR) 1.33 (95% CI: 1.05-1.67, P < .001). The opposite point estimates from different types of diabetes may indicate possible different associations for type I (OR: 0.98, 95% CI: 0.18-5.39, P = .985) or type II diabetes (OR: 1.28, 95% CI: 0.88-1.84, P = .194).

CONCLUSION

Diabetes mellitus performs more likely as a comorbidity of arthritis rather than a risk factor; however, more studies will be helpful to increase the confidence of identifying the association between diabetes and arthritis.

Metabolic syndrome and its components among rheumatoid arthritis patients: A comprehensive updated systematic review and meta-analysis

BACKGROUND

Estimating the current global prevalence of metabolic syndrome (MetS), and its components, among rheumatoid arthritis (RA) patients is necessary in order to formulate preventative strategies and to ensure there are adequate community resources available for these patients. Furthermore, the association between RA and MetS is controversial and has not previously been comprehensively assessed. Therefore, the present study aimed to: 1) determine the prevalence of MetS, and its components, among RA patients across the world 2) update the odds ratio of MetS in RA patients, compared to healthy controls, using a comprehensive systematic review and meta-analysis.

METHODS

International databases, including: the Web of Science, PubMed, Scopus, Embase, CINAHL and other relevant databases were searched to identify English language articles which reported the prevalence and risk of MetS in RA patients between January 2000 and August 2016. The meta-analysis only included studies which clearly described the time and location of the study, utilised adequate sampling strategies, and appropriate statistical analyses.

RESULTS

The meta-analyses of prevalence (70 studies [n = 12612]) and risk (43 studies [n = 35220]) of MetS in RA patients were undertaken separately. The overall pooled prevalence of MetS was 30.65% (95% CI: 27.87-33.43), but this varied from 14.32% (95% CI: 10.59-18.05) to 37.83% (95% CI: 31.05-44.61), based upon the diagnostic criteria used. The prevalence of MetS also varied slightly between males (31.94%, 95% CI: 24.37-39.51) and females (33.03%, 95% CI: 28.09-37.97), but this was not statistically significant. The overall pooled odds ratio (OR) of MetS in RA patients, compared to healthy controls, was 1.44 (95% CI: 1.20-1.74), but this ranged from 0.70 (95% CI: 0.27-1.76) to 4.09 (95% CI: 2.03-8.25), depending on the criteria used. The mean age and diagnostic criteria of MetS were identified as sources of heterogeneity in the estimated odds ratios between studies (P<0.05).

CONCLUSIONS

According to the high prevalence of MetS in RA patients, and high risk of MetS, measuring metabolic syndrome in RA patients is strongly recommended. Furthermore, as high waist circumference (WC) is the most common metabolic syndrome component, more attention must be paid to nutrition and weight loss among those with RA.

Metabolic syndrome is associated with disease activity in patients with rheumatoid arthritis

OBJECTIVE

To investigate the association between metabolic syndrome (MS) and disease activity in patients with rheumatoid arthritis (RA).

METHODS

Siriraj Rheumatoid Arthritis registry is a prospective cohort study establishing since May 2011. A total of 267 patients who had complete data in February 2015 were included in these analyses. All clinical and laboratory data related to disease activity, functional status, and parameters of MS according to the 2001 National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) were collected. Univariate and backward stepwise multivariate analyses were performed to identify factors associated with MS.

RESULTS

Most (88%) were female with the mean age±standard deviation of 59±11.1 years old. MS was found in 43 patients (16%). Patients with MS had a significantly lower proportion of patients with remission (time-adjusted mean of disease activity score 28 or DAS28<2.6) than those with non-MS (2.3% vs. 16.5%, P=0.02). Multiple logistic regression analysis identified 3 independent factors associated with MS including body mass index [OR 1.2, 95% CI 1.1 to 1.3], educational level≤12 years [OR 5.92, 95% CI 1.47 to 23.83], and disease remission [OR 0.11, 95% CI 0.01 to 0.93]. This model correctly predicted 84% of cases.

CONCLUSION

Remission rate is significantly lower in RA patients with MS. Disease activity of RA, body mass index, and educational level are associated with metabolic syndrome in patients with RA.

Metabolic syndrome in patients with rheumatoid arthritis followed at a University Hospital in Northeastern Brazil

INTRODUCTION

Patients with rheumatoid arthritis (RA) are 30-60% more likely to develop cardiovascular disease (CV) than the general population. Metabolic syndrome (MS), defined by a number of cardiovascular risk factors, confers a greater risk of CVdisease and diabetes. The association of MS with RA is not yet fully understood and its prevalence varies from 19 to 63% across studies.

OBJECTIVES

To assess the prevalence of MS in a population of RA patients followed in a hospital in Northeastern Brazil and analyze associations of demographic and clinical factors with MS.

METHODS

Outpatients with RA were evaluated in a cross-sectional study regarding demographic, clinical, laboratory and anthropometric data. The criteria for defining MS were those adopted by NCEPIII (2005) and IDF (2006).

RESULTS

110 patients with RA were studied; 97.3% were female, with a mean age of 55.5 years (SD=12.9) and duration of illness of 11.2 years (SD=7.3). The MS prevalence from NCEPIII (2005) and IDF (2005) were, respectively, 50% and 53.4%. Advanced age (57.9±11.9 versus 52.9±13.5; p=0.04) and smoking load >20 packs/year (29% versus 9%, p=0.008) were associated with MS. The major components of the metabolic syndrome were abdominal obesity (98.1%), hypertension (80%) and low HDL cholesterol (72.2%).

CONCLUSIONS

RA patients in a tertiary center in Northeastern Brazil showed high prevalence of MS. It is worth noting that almost all patients had MS and abdominal obesity, which has important practical implications. In addition to the components of MS, age and smoking were associated with this syndrome.

Hydroxychloroquine's Efficacy as an Antiplatelet Agent Study in Healthy Volunteers: A Proof of Concept Study

BACKGROUND

With the inflammatory model of atherosclerosis taking center stage, anti-inflammatory drugs hold a promising place in the therapy of cardiovascular disease (CVD). Recent studies showed that hydroxychloroquine (HCQ) was protective against thrombovascular events in lupus erythematosus and traditional cardiovascular risk factors in patients with rheumatoid arthritis. Some preliminary experimental data have shown that it may prevent platelet activation too.

OBJECTIVE

To evaluate the antiplatelet activity of HCQ when given alone and in combination with aspirin (ASA) and compare it with ASA alone and ASA plus clopidogrel (CLOP) in healthy human volunteers.

METHODS

In part 1 of the study, 8 volunteers were given HCQ for 7 days. In part 2, 12 volunteers were randomly assigned in a 1:1:1 ratio to the 3 groups in which 2 of the 3 treatments, ASA, ASA plus CLOP, and ASA plus HCQ, were given in the 2 treatment periods separated by a 14-day washout period using the incomplete block design. Inhibition of platelet aggregation (IPA) was measured by light transmission aggregometry.

RESULTS

When arachidonic acid (AA) was used as agonist, HCQ given alone showed a significant reduction in platelet aggregation (11.0% ± 4.2%, P = .03). The IPA was significantly increased when ASA plus HCQ was compared with ASA alone (31.2% ± 8.1%, P = .002). This synergistic effect was not seen with adenosine diphosphate and collagen as agonists. Levels of serum 11-dehydrothromboxane B2, a stable marker of thromboxane A2 production, were not significantly different between the groups. There was also a significant decrease in fibrinogen and erythrocyte sedimentation rate values when HCQ was used alone or in combination with ASA.

CONCLUSION

This study suggests that HCQ has antiplatelet properties possibly through the AA pathway (downstream to thromboxane A2 production). With possible additional beneficial effects over the traditional CVD risk factors, larger studies in the future might explore HCQ's potential as an antiplatelet agent.