Revista Brasileira de Reumatologia (English Edition)最新文献

Objectives

Rheumatoid arthritis (RA) patients should receive cardiovascular (CV) risk assessment. For this purpose CV risk calculators are available. In addition, parameters of vascular function can be measured and used for risk prediction. Aim of the present study was to assess the association of these two concepts.

Methods

287 RA patients (58.4 ± 12.6 years) and 232 controls (49.9 ± 13.4 years) were included in this cross-sectional study. We calculated 10 year CV risk with SCORE and QRISK2. For SCORE we used the recommended multiplier of 1.5 in eligible RA patients and estimated the risk also in patients younger than 40 years (mSCORE (0–65)). Augmentation index (AIx) and central pulse pressure (PP), markers of vascular integrity and CV risk, were assessed by pulse wave analysis (PWA). Primary endpoint was the correlation of AIx and the estimated CV risk using mSCORE (0–65).

Results

In RA patients AIx showed a statistically significant correlation with mSCORE (0–65) (rho = 0.3374; p < 0.0001) and QRISK2 (rho = 0.3307; p < 0.0001). The correlations of central PP with mSCORE (0–65) (rho = 0.4692; p < 0.0001) and QRISK2 (rho = 0.5828; p < 0.0001) were also statistically significant. Increasing quartiles of central PP were associated with an increased odds of being in the “high risk” category according to SCORE (OR 2.18; 95% CI 1.58–3.01) or QRISK2 (OR 2.18; 95% CI 1.75–2.72). In control patients we also found a correlation of AIx and central PP with SCORE (0–65) and QRISK2.

Conclusions

Parameters of central haemodynamics correlate with calculated CV risk. However, both do not give exactly the same information. The question arises whether a combination of both concepts would result in an improved CV risk prediction.

Objective

To assess the prevalence of fatigue in a Brazilian population with early rheumatoid arthritis using multiple instruments, and the predictors of these instruments by differents independent variables.

Methods

Cross-sectional study with direct interview and medical records review. Fatigue, dependent variable, was assessed using eight instruments: Profile of Mood States (POMS), Multidimensional Assessment of Fatigue scale (MAF), Fatigue Severity Scale (FSS), Bristol Rheumatoid Arthritis Fatigue Multidimensional Questionnaire (BRAF-MDQ), Numerical Rating Scales (BRAF-NRS), Short-form Survey 36 (SF-36), Functional Assessment of Chronic Illness Therapy Fatigue Scale (FACIT-F) and Visual Analogic Scale for Fatigue (VASf). Independent variables: sociodemographic, clinical and serological, were measured using medical records and direct interview. Disability and disease activity were assessed using the Health Assessment Questionnaire (HAQ) and disease activity assessed using the Disease Activity Score 28 joints (DAS28). The scores of scales demonstrated the level of fatigue and multiple linear regression method used in statistical analysis to demonstrate prediction models.

Results

A total of 80 patients was assessed, and 57 reported clinically relevant fatigue (VASf > 2), representing 71.25% prevalence point (51 women [89.5%], mean age 48.35 ± 15 years, and mean disease duration of 4.92 ± 3.8 years). Eight predictive models showed statistical significance, one for each fatigue instrument. The highest coefficient of determination (R²) was 56% for SF-36 and the lowest (R² = 21%) for FSS. The HAQ was the only independent variable to predict fatigue on all instruments.

Conclusion

Clinically relevant fatigue is a highly prevalent symptom and is mostly predicted by disability and age in the population assessed.

Objectives

To evaluate, in an endemic country, the long-term efficacy of latent tuberculosis infection (LTBI) screening and primary prophylaxis in patients with JIA receiving TNF blockers.

Methods

This was a retrospective cohort that included JIA patients eligible to anti-TNF therapy. Patients were screened for LTBI prior to anti-TNF using tuberculin skin test (TST), chest X-ray and history of exposure to TB. Subjects were regularly followed at 2-month intervals.

Results

Sixty-nine JIA patients with current age of 17.4 ± 5.8 years, mean disease duration of 5.0 ± 4.9 years were included. Forty-seven patients received a single anti-TNF, while 22 patients switched to another anti-TNF once or twice: 57 were treated with etanercepte, 33 patients with adalimumab and 3 infliximab. LTBI screening was positive in three patients: one had TST-positive and history of TB exposure and two had solely TST-positive. No active TB was diagnosed during the study period (median of follow-up was 3.8 years).

Conclusion

Long-term evaluation revealed that LTBI screening and primary prophylaxis before anti-TNF treatment was effective in a high-risk country and TST was the most sensitive parameter to identify these patients.

Objectives

To evaluate the frequency of four serum biomarkers in RA patients and their relatives and identify possible associations with clinical findings of the disease.

Methods

This was a transversal analytical study. Anti-cyclic citrullinated peptide (anti-CCP), anti-mutated citrullinated vimentin (anti-MCV) and IgA-rheumatoid factor (RF) were determined by ELISA and IgM-RF by latex agglutination in 210 RA patients, 198 relatives and 92 healthy controls from Southern Brazil. Clinical and demographic data were obtained through charts review and questionnaires.

Results

A higher positivity for all antibodies was observed in RA patients when compared to relatives and controls (p < 0.0001). IgA-RF was more frequent in relatives compared to controls (14.6% vs. 5.4%, p = 0.03, OR = 2.98; 95% CI = 1.11–7.98) whereas anti-CCP was the most common biomarker among RA patients (75.6%). Concomitant positivity for the four biomarkers was more common in patients (46.2%, p < 0.0001). Relatives and controls were mostly positive for just one biomarker (20.2%, p < 0.0001 and 15.2%, p = 0.016, respectively). No association was observed between the number of positive biomarkers and age of disease onset, functional class or tobacco exposure. In seronegative patients predominate absence of extra articular manifestations (EAMs) (p = 0.01; OR = 3.25; 95% CI = 1.16–10.66). Arthralgia was present in positive relatives, regardless the type of biomarker.

Conclusions

A higher number of biomarkers was present in RA patients with EAMs. Positivity of biomarkers was related to arthralgia in relatives. These findings reinforce the link between distinct biomarkers and the pathophysiologic mechanisms of AR.

The present study aimed to update the literature review on the prevalence of fibromyalgia published in 2006. A bibliographical survey was carried out from 2005 to 2014 in the MEDLINE, Web of Science, Embase, LILACS and SciELO databases and 3274 records were identified. Five researchers selected the studies, following the inclusion criteria: studies that obtained the prevalence of fibromyalgia. Fibromyalgia studies in associated diseases were excluded. When screening by title and abstract, 2073 irrelevant articles were excluded. The full texts of 210 articles were evaluated for eligibility and this review included 39 studies, described in 41 articles. The selected studies were grouped into four categories: (A) prevalence of fibromyalgia in the general population; (B) prevalence of fibromyalgia in women; (C) prevalence of fibromyalgia in rural and urban areas; (D) prevalence of fibromyalgia in special populations. The literature shows values of fibromyalgia prevalence in the general population between 0.2 and 6.6%, in women between 2.4 and 6.8%, in urban areas between 0.7 and 11.4%, in rural areas between 0.1 and 5.2%, and in special populations values between 0.6 and 15%. This literature review update shows a significant increase in fibromyalgia prevalence studies in the world. The new 2010 American College of Rheumatology criteria have not been widely used yet and the COPCORD (Community-oriented program for control of Rheumatic Diseases) methodology has increased the quality of studies on the prevalence of rheumatic diseases in general.

Background

Systemic blockade of TNF-α in Rheumatoid arthritis with insulin resistance seems to produce more improvement in insulin sensitivity in normal weight patients with Rheumatoid arthritis than in obese patients with Rheumatoid arthritis, suggesting that systemic-inflammation and obesity are independent risk factors for insulin resistance in Rheumatoid arthritis patients.

Objectives

To evaluate the insulin resistance in: normal weight patients with Rheumatoid arthritis, overweight patients with Rheumatoid arthritis, obese Rheumatoid arthritis patients, and matched control subjects with normal weight and obesity; and its association with major cytokines involved in the pathogenesis of the disease.

Methods

Assessments included: body mass index, insulin resistance by Homeostasis Model Assessment, ELISA method, and enzymatic colorimetric assay.

Results

Outstanding results from these studies include: (1) In Rheumatoid arthritis patients, insulin resistance was well correlated with body mass index, but not with levels of serum cytokines. In fact, levels of cytokines were similar in all Rheumatoid arthritis patients, regardless of being obese, overweight or normal weight (2) Insulin resistance was significantly higher in Rheumatoid arthritis with normal weight than in normal weight (3) No significant difference was observed between insulin resistances of Rheumatoid arthritis with obesity and obesity (4) As expected, levels of circulating cytokines were significantly higher in Rheumatoid arthritis patients than in obesity.

Conclusions

Obesity appears to be a dominant condition above inflammation to produce IR in RA patients. The dissociation of the inflammation and obesity components to produce IR suggests the need of an independent therapeutic strategy in obese patients with RA.