Therapeutic drug monitoring of adalimumab in RA: no predictive value of adalimumab serum levels and anti-adalimumab antibodies for prediction of response to the next bDMARD.

BACKGROUND: After adalimumab treatment failure, tumour necrosis factor inhibition (TNFi) and non-TNFi biological disease-modifying anti-rheumatic drugs (bDMARDs) are equally viable options on a group level as subsequent treatment in rheumatoid arthritis (RA) based on the current best evidence synthesis. However, preliminary data suggest that anti-adalimumab antibodies (anti-drug antibodies, ADA) and adalimumab serum levels (ADL) during treatment predict response to a TNFi as subsequent treatment. OBJECTIVE: To validate the association of presence of ADA and/or low ADL with response to a subsequent TNFi bDMARD or non-TNFi bDMARD. Sub-analyses were performed for primary and secondary non-responders. METHODS: A diagnostic test accuracy retrospective cohort study was done in consenting RA patients who discontinued adalimumab after >3 months of treatment due to inefficacy and started another bDMARD. Inclusion criteria included the availability of (random timed) serum samples between ≥8 weeks after start and ≤2 weeks after discontinuation of adalimumab, and clinical outcome measurements Disease Activity Score in 28 joints - C-reactive protein (DAS28-CRP) between 3 to 6 months after treatment switch. Test characteristics for EULAR (European League Against Rheumatism) good response (DAS28-CRP based) after treatment with the next (non-)TNFi bDMARD were assessed using area under the receiver operating characteristic and sensitivity/specificity. RESULTS: 137 patients were included. ADA presence was not predictive for response in switchers to a TNFi (sensitivity/specificity 18%/75%) or a non-TNFi (sensitivity/specificity 33%/70%). The same was true for ADL levels in patients that switched to a TNFi (sensitivity/specificity 50%/52%) and patients that switched to a non-TNFi (sensitivity/specificity 32%/69%). Predictive value of ADA and ADL were similar for both primary and secondary non-responders to adalimumab. CONCLUSIONS: In contrast to earlier research, we could not find predictive value for response to a second TNFi or non-TNFi for either ADA or random timed ADL.

Impact of risk factors associated with cardiovascular outcomes in patients with rheumatoid arthritis.

OBJECTIVES: Patients with rheumatoid arthritis (RA) have an excess risk of cardiovascular disease (CVD). We aimed to assess the impact of CVD risk factors, including potential sex differences, and RA-specific variables on CVD outcome in a large, international cohort of patients with RA. METHODS: In 13 rheumatology centres, data on CVD risk factors and RA characteristics were collected at baseline. CVD outcomes (myocardial infarction, angina, revascularisation, stroke, peripheral vascular disease and CVD death) were collected using standardised definitions. RESULTS: 5638 patients with RA and no prior CVD were included (mean age: 55.3 (SD: 14.0) years, 76% women). During mean follow-up of 5.8 (SD: 4.4) years, 148 men and 241 women developed a CVD event (10-year cumulative incidence 20.9% and 11.1%, respectively). Men had a higher burden of CVD risk factors, including increased blood pressure, higher total cholesterol and smoking prevalence than women (all p<0.001). Among the traditional CVD risk factors, smoking and hypertension had the highest population attributable risk (PAR) overall and among both sexes, followed by total cholesterol. The PAR for Disease Activity Score and for seropositivity were comparable in magnitude to the PAR for lipids. A total of 70% of CVD events were attributable to all CVD risk factors and RA characteristics combined (separately 49% CVD risk factors and 30% RA characteristics). CONCLUSIONS: In a large, international cohort of patients with RA, 30% of CVD events were attributable to RA characteristics. This finding indicates that RA characteristics play an important role in efforts to reduce CVD risk among patients with RA.

Stopping Tumor Necrosis Factor Inhibitor Treatment in Patients With Established Rheumatoid Arthritis in Remission or With Stable Low Disease Activity: A Pragmatic Multicenter, Open-Label Randomized Controlled Trial.

OBJECTIVE: Tumor necrosis factor inhibitor (TNFi) biologic agents are an effective treatment for rheumatoid arthritis (RA). It is unclear whether patients whose disease is in remission or who have stable low disease activity need to continue use of TNFi or can stop this treatment. This study was undertaken to assess whether patients with established RA who are in remission or have stable low disease activity can effectively and safely stop their TNFi therapy. METHODS: The study was designed as a pragmatic multicenter, open-label randomized controlled trial. Inclusion criteria were a diagnosis of RA according to the American College of Rheumatology 1987 classification criteria, as well as use of a TNFi for at least 1 year along with a stable dose of disease-modifying antirheumatic drugs and a Disease Activity Score in 28 joints (DAS28) of <3.2 over the 6 months preceding trial inclusion. Patients were randomized in a 2:1 ratio to either stop or continue treatment with their current TNFi. Flare was defined as a DAS28 of ≥3.2 during the 12-month follow-up period and an increase in score of ≥0.6 compared to the baseline DAS28. RESULTS: In total, 531 patients were allocated to the stop group and 286 to the TNFi continuation group. At 12 months, more patients had experienced a flare in the stop group (272 [51.2%] of 531) than in the continuation group (52 [18.2%] of 286; P < 0.001). The hazard ratio for occurrence of a flare after stopping TNFi was 3.50 (95% confidence interval [95% CI] 2.60-4.72). The mean DAS28 in the stop group was significantly higher during the follow-up period compared to that in the continuation group (P < 0.001). Of the 195 patients who restarted TNFi treatment after experiencing a flare and within 26 weeks after stopping, 165 (84.6%) had regained a DAS28 of <3.2 by 6 months later, and the median time to a regained DAS28 of <3.2 was 12 weeks (95% Cl 10.7-13.3). There were more hospitalizations in the stop group than in the continuation group (6.4% versus 2.4%). CONCLUSION: Stopping TNFi treatment results in substantially more flares than does continuation of TNFi in patients with established RA in remission or with stable low disease activity.

[A woman with an eschar]. / Een vrouw met een eschar.

A 65-year-old woman had an eschar after a holiday to Spain. A skin biopsy showed findings consistent with an ulcer but tested negative for fungi, atypical mycobacteria and Leishmania parasites. Rickettsia conorii serology was negative. The diagnosis necrotic arachnidism was made based on the clinical picture.

Increased cardiovascular risk factors in different rheumatic diseases compared with the general population.

OBJECTIVES: To study the prevalence of cardiovascular risk factors among patients attending a rheumatology outpatient clinic in comparison with the general population. METHODS: Cross-sectional comparison between a rheumatic outpatient cohort of consecutive patients (n = 1233) between 36 and 75 years of age attending the Arthritis Center Twente (ACT) in the year 2009: RA (n = 546), gout (n = 129), OA (n = 168), CTD (n = 85), PMR (n = 91) and chronic localized or generalized pain syndromes (CPSs; n = 214) and a random sample from a long-lasting population-based health study in the Netherlands (n = 4523). The main outcome measures were hypertension (systolic blood pressure ≥ 140 mmHg and/or a diastolic blood pressure ≥ 90 mmHg and/or the use of antihypertensive medication), abnormal cholesterol profile (total cholesterol ≥ 6.5 mmol/l, and/or high-density lipoprotein < 0.9 mmol/l and/or use of lipid lowering medication), overweight (BMI ≥ 25 kg/m(2)), obesity (BMI ≥ 30 kg/m(2)) and cigarette smoking habits (self-reported current smoking). RESULTS: Compared with the general population, patients with rheumatic diseases have a significantly higher prevalence of hypertension (P(ACT) = 68%, P(general) = 57%), being overweight (P(ACT) = 72%, P(general) = 62%), obesity (P(ACT) = 30%, P(general) = 17%) and cigarette smoking (P(ACT) = 26%, P(general) = 21%). The worst risk profile was found in gout patients, with higher prevalence of all cardiovascular risk factors studied. CONCLUSION: Lifestyle-associated potentially modifiable cardiovascular risk factors are over-represented along the whole spectrum of chronic rheumatic diseases, and not only in RA, as suggested by preceding studies.