Prevalence of risk factors for statin-induced myopathy in rheumatoid arthritis patients

Skeletal muscle disease in rheumatoid arthritis: the center of cardiometabolic comorbidities?

PURPOSE OF REVIEW

Despite its critical roles in body movement, structure, and metabolism, skeletal muscle remains underappreciated in the context of rheumatoid arthritis. In rheumatoid arthritis, chronic inflammation, physical inactivity, and medication toxicities impair skeletal muscle. These skeletal muscle alterations contribute to continued rheumatoid arthritis disparities in physical function and cardiometabolic health.

RECENT FINDINGS

In the prebiologic disease-modifying antirheumatic drug era, rheumatoid arthritis skeletal muscle atrophy was the central feature of 'rheumatoid cachexia,' a hypermetabolic state driven by chronic systemic inflammation and muscle protein degradation. In the current era, rheumatoid arthritis muscle deficits are less visible, yet persist as a key component of 'sarcopenic obesity.' In rheumatoid arthritis sarcopenic obesity, chronic inflammation, physical inactivity, and medication toxicities contribute to muscle contractile deficits, inflammation, altered metabolism, and intramuscular adiposity, a key predictor of rheumatoid arthritis disability and insulin resistance.

SUMMARY

Rheumatoid arthritis skeletal muscle disease in the current era is defined by impaired contractile function (poor strength and endurance) and sarcopenic obesity (decreased muscle mass, increased fat mass, and intramuscular adiposity). These muscle impairments contribute to disability and cardiometabolic disease in rheumatoid arthritis. Management should focus on monitoring of rheumatoid arthritis muscle function and body composition, limiting potentially myotoxic drugs, and prescription of exercise training.

Lipid management in rheumatoid arthritis: a position paper of the Working Group on Cardiovascular Pharmacotherapy of the European Society of Cardiology

Rheumatoid arthritis (RA) is associated with increased cardiovascular morbidity, partly due to alterations in lipoprotein quantity, quality and cell cholesterol trafficking. Although cardiovascular disease significantly contributes to mortality excess in RA, cardiovascular prevention has been largely insufficient. Because of limited evidence, optimal strategies for lipid management (LM) in RA have not been determined yet, and recommendations are largely based on expert opinions. In this position paper, we describe abnormalities in lipid metabolism and introduce a new algorithm for estimation of cardiovascular risk (CVR) and LM in RA. The algorithm stratifies patients according to RA-related factors impacting CVR (such as RA activity and severity and medication). We propose strategies for monitoring of lipid parameters and treatment of dyslipidaemia in RA (including lifestyle, statins and other lipid-modifying therapies, and disease modifying antirheumatic drugs). These opinion-based recommendations are meant to facilitate LM in RA until more evidence is available.

Association between SLCO1B1 -521T>C and -388A>G polymorphisms and risk of statin-induced adverse drug reactions: A meta-analysis

An increasing number of studies have investigated the association between SLCO1B1 -521T>C and -388A>G polymorphisms and the risk of statin-induced adverse drug reactions (ADRs), but the results have been inconsistent. This meta-analysis was performed to gain more insight into the relationship. PubMed, Embase, Cochrane Library and Web of Science were searched for relevant articles published before March 5th, 2015. The quality of included studies was evaluated by the Newcastle-Ottawa Quality scale. Pooled effect estimates (odds ratios [ORs] or hazard ratios [HRs) and corresponding 95 % confidence intervals (CIs) were calculated to assess the association in overall and subgroup analyses for various genetic models. Begg's rank correlation test and Egger's linear regression test were used to examine the publication bias. A total of nine cohort and four case-control studies involving 11, 246 statin users, of whom 2, 355 developing ADRs were included in the analysis. Combined analysis revealed a significant association between the SLCO1B1-521T>C polymorphism and increased risk for ADRs caused by various statins, but the synthesis heterogeneity was generally large (dominant model: pooled effect estimate = 1.85, 95 % CI 1.20-2.85, P = 0.005; I (2) = 80.70 %, Pheterogeneity < 0.001). Subgroup analysis by statin type showed that the ADRs risk was significantly elevated among simvastatin users (dominant model: pooled effect estimate = 3.43, 95 % CI 1.80-6.52, P = 0.001; I (2) = 59.60 %, Pheterogeneity = 0.060), but not among atorvastatin users. No significant relationship was found between the -388A>G polymorphism and ADRs caused by various statins (dominant model: pooled effect estimate = 0.94, 95 % CI 0.79-1.13, P = 0.526; I (2) = 40.10 %, Pheterogeneity = 0.196). The meta-analysis suggests that SLCO1B1 -521T>C polymorphism may be a risk factor for statin-induced ADRs, especially in simvastatin therapy. Conversely, there may be no significant association for -388A>G polymorphism.

Prevention of cardiovascular disease in rheumatoid arthritis

The increased risk of cardiovascular disease (CVD) in rheumatoid arthritis (RA) has been recognized for many years. However, although the characteristics of CVD and its burden resemble those in diabetes, the focus on cardiovascular (CV) prevention in RA has lagged behind, both in the clinical and research settings. Similar to diabetes, the clinical picture of CVD in RA may be atypical, even asymptomatic. Therefore, a proactive screening for subclinical CVD in RA is warranted. Because of the lack of clinical trials, the ideal CVD prevention (CVP) in RA has not yet been defined. In this article, we focus on challenges and controversies in the CVP in RA (such as thresholds for statin therapy), and propose recommendations based on the current evidence. Due to the significant contribution of non-traditional, RA-related CV risk factors, the CV risk calculators developed for the general population underestimate the true risk in RA. Thus, there is an enormous need to develop adequate CV risk stratification tools and to identify the optimal CVP strategies in RA. While awaiting results from randomized controlled trials in RA, clinicians are largely dependent on the use of common sense, and extrapolation of data from studies on other patient populations. The CVP in RA should be based on an individualized evaluation of a broad spectrum of risk factors, and include: 1) reduction of inflammation, preferably with drugs decreasing CV risk, 2) management of factors associated with increased CV risk (e.g., smoking, hypertension, hyperglycemia, dyslipidemia, kidney disease, depression, periodontitis, hypothyroidism, vitamin D deficiency and sleep apnea), and promotion of healthy life style (smoking cessation, healthy diet, adjusted physical activity, stress management, weight control), 3) aspirin and influenza and pneumococcus vaccines according to current guidelines, and 4) limiting use of drugs that increase CV risk. Rheumatologists should take responsibility for the education of health care providers and RA patients regarding CVP in RA. It is immensely important to incorporate CV outcomes in testing of anti-rheumatic drugs.

Expression of mRNA transcripts encoding membrane transporters detected with whole transcriptome sequencing of human brain and liver

BACKGROUND

Membrane transporters control the influx and efflux of endogenous and xenobiotic substrates, including nutrients and drugs, across cellular membranes.

OBJECTIVE

Whole transcriptome sequencing enables simultaneous analysis of overall and allele-specific mRNA expression, and the detection of multiple RNA isoforms.

METHODS

Here we characterize variation in RNA transcripts emanating from gene loci encoding transporters based on RNAseq data from 10 human brains (including cocaine overdose and normal brain tissues) and 12 normal livers.

RESULTS

mRNA expression was detected in 65% of transporter genes in either tissue, with many genes generating multiple mRNA transcripts. Single-nucleotide polymorphisms within transporters with previous evidence for pharmacogenomics impact were detected. We also identified noncoding RNAs in the vicinity of transporter genes with potential regulatory functions.

CONCLUSION

The results obtained with RNAseq provide detailed information on transporter mRNA expression at the molecular level, affording new avenues for the study of membrane transport, with relevance to drug efficacy and toxicity.

Initiation and adherence to secondary prevention pharmacotherapy after myocardial infarction in patients with rheumatoid arthritis: a nationwide cohort study

OBJECTIVES

To examine whether rheumatoid arthritis (RA) is associated with less optimal secondary prevention pharmacotherapy after first-time myocardial infarction (MI).

METHODS

The authors identified all patients with first-time MI in the Danish National Patient Register from 2002 to 2009 and gathered individual level information including pharmacy records from nationwide registers. Initiation of standard care post-MI secondary prevention drugs, that is, aspirin, β-blockers, clopidogrel, renin angiotensin system (RAS) blockers and statins, was determined after discharge. In addition, adherence to each drug was evaluated as the proportion of patients on treatment during follow-up and time to first treatment gap.

RESULTS

A total of 66 107 MI patients (37% women) were discharged alive; 877 were identified as RA patients (59% women). Thirty days after discharge, RA was associated with significantly lower initiation of aspirin (OR 0.80 (0.67-0.96)), β-blockers (0.77 (0.65-0.92)) and statins (0.69 (0.58-0.82)), while initiation of RAS blockers (0.80 (0.57-1.11)) and clopidogrel (0.88 (0.75-1.02)) was non-significantly reduced. These estimates were virtually unchanged at day 180 and the results were corroborated by Cox regression analyses. Adherence to statins was lower in RA patients relative to non-RA patients (HR for treatment gap of 90 days: 1.26 (1.07-1.48)), while no significant differences were found in adherence to the other drugs.

CONCLUSIONS

In this nationwide study of unselected patients with first-time MI, a reduced initiation of secondary prevention pharmacotherapy was observed in RA patients. This undertreatment may contribute to the increased cardiovascular disease burden in RA and the underlying mechanisms warrant further study.

Statins and Cardiovascular Risk in Rheumatic Diseases

Chronic inflammatory rheumatic diseases are associated with an increased risk of cardiovascular (CV) atherosclerotic events. The inflammatory state, which is the hallmark of chronic rheumatic diseases, is the important driving force for accelerated atherogenesis. Since the control of traditional risk factors alone is insufficient in reducing the risk, much attention has been directed towards the potential use of statins. Statins, a family of drugs that suppress cholesterol biosynthesis by inhibiting the hydroxymethyl glutaryl coenzyme A reductase, have been shown to significantly reduce CV-related morbidity and mortality. In addition to lower lipid levels, several non-lipid lowering pleiotropic effects, including anti-inflammatory and immunomodulatory activities, make statins potential therapeutic agents in chronic rheumatic diseases. However, lipid metabolism in chronic rheumatic diseases is complex, since inflammatory states can induce alterations in lipid levels and function, so that cholesterol target levels from general guidelines may not be adequate in chronic inflammatory rheumatic diseases. Larger trials are needed to refine the precise benefits and health-utility associated with this therapy.

Statin use in rheumatoid arthritis in relation to actual cardiovascular risk: evidence for substantial undertreatment of lipid-associated cardiovascular risk?

BACKGROUND

Cardiovascular disease (CVD) is partially attributed to traditional cardiovascular risk factors, which can be identified and managed based on risk stratification algorithms (Framingham Risk Score, National Cholesterol Education Program, Systematic Cardiovascular Risk Evaluation and Reynolds Risk Score). We aimed to (a) identify the proportion of at risk patients with rheumatoid arthritis (RA) requiring statin therapy identified by conventional risk calculators, and (b) assess whether patients at risk were receiving statins.

METHODS

Patients at high CVD risk (excluding patients with established CVD or diabetes) were identified from a cohort of 400 well characterised patients with RA, by applying risk calculators with or without a x1.5 multiplier in specific patient subgroups. Actual statin use versus numbers eligible for statins was also calculated.

RESULTS

The percentage of patients identified as being at risk ranged significantly depending on the method, from 1.6% (for 20% threshold global CVD risk) to 15.5% (for CVD and cerebrovascular morbidity and mortality) to 21.8% (for 10% global CVD risk) and 25.9% (for 5% CVD mortality), with the majority of them (58.1% to 94.8%) not receiving statins. The application of a 1.5 multiplier identified 17% to 78% more at risk patients.

CONCLUSIONS

Depending on the risk stratification method, 2% to 26% of patients with RA without CVD have sufficiently high risk to require statin therapy, yet most of them remain untreated. To address this issue, we would recommend annual systematic screening using the nationally applicable risk calculator, combined with regular audit of whether treatment targets have been achieved.