Israel Medical Association Journal

Background: In rheumatoid arthritis (RA), females usually have a worse prognosis. To date, the influence of physician gender in the evaluation of RA activity is still largely unknown.

Objectives: To investigate the discrepancy in RA disease activity assessment between male and female physicians and to compare patient and evaluator perception of disease activity and global health (GH) status.

Methods: One female and one male rheumatologist evaluated 154 RA patients recording tender and swollen joint count, GH, evaluator global assessment (EGA), and patient global assessment (PGA) disease activity. A third rheumatologist calculated DAS28, CDAI, and SDAI. Difference was evaluated by Wilcoxon test. Physician–patient agreement was assessed by intraclass correlation coefficient.

Results: GH, PGA, and DAS28 were higher when recorded by the female examiner. Male EGA was higher than female. Among male patients, PGA was higher when collected by the female examiner. The probability of being judged as having an active disease did not rely on physician gender. The agreement with the physician’s evaluation of disease activity was high. PGA values were higher than EGA in both examiners. The physician–patient agreement was moderate for the male examiner and good for the female. The female physician had a higher agreement with both genders.

Conclusions: Subjective measure of disease activity differs between female and male rheumatologists, contributing to a different evaluation of disease activity. Patients have a higher perception of disease activity compared to physicians. The stronger agreement between female physicians and patients may be related to a more emphatic setting established by the female physician

Background: Behçet’s disease (BD) is an inflammatory disorder potentially leading to life- and sight-threatening complications. No laboratory marker correlating with disease activity or predicting the occurrence of disease manifestations is currently available.

Objectives: To determine an association between serum amyloid-A (SAA) levels and disease activity via the BD Current Activity Form (BDCAF), to evaluate disease activity in relation to different SAA thresholds, to examine the association between single organ involvement and the overall major organ involvement with different SAA thresholds, and to assess the influence of biologic therapy on SAA levels.

Methods: We collected 95 serum samples from 64 BD patients. Related demographic, clinical, and therapeutic data were retrospectively gathered.

Results: No association was identified between SAA levels and BD disease activity (Spearman's rho = 0.085, P = 0.411). A significant difference was found in the mean BDCAF score between patients presenting with SAA levels < 200 mg/L and those with SAA levels > 200 mg/L (P = 0.027). SAA levels > 200 mg/L were associated with major organ involvement (P = 0.008). A significant association was found between SAA levels > 150 mg/dl and ocular (P = 0.008), skin (P = 0.002), and mucosal (P = 0.012) manifestations. Patients undergoing biologic therapies displayed more frequently SAA levels < 200 mg/L vs. patients who were not undergoing biologic therapies (P = 0.012).

Conclusions: Although SAA level does not represent a biomarker for disease activity, it might be a predictor of major organ involvement and ocular disease relapse at certain thresholds in patients with BD.

Background: The goals of treatment for rheumatoid arthritis (RA) are remission and low disease activity (LDA). However, many patients do not reach or maintain these targets with regard to disease control. 

Objective: To identify predictive factors of remission/LDA in a cohort of RA patients who started treatment with first line tumor necrosis factor-inhibitors (TNF-i). 

Methods: We included 308 RA patients treated with first line TNF-i for 2 years to evaluate remission/LDA based on the 28-joint disease activity score (DAS28). Predictive factors considered for achievement of remission/LDA were: gender, age at the time of TNF-i treatment, early arthritis, baseline C-reactive protein (CRP) and erythrocyte sedimentation rate levels, RF/anti-citrullinated protein antibody positivity, good/moderate European League Against Rheumatism response at 6 months, co-morbidities, and concomitant disease modifying antirheumatic drugs (DMARDs). Intention to treat, receiver operating characteristic curve, and univariate and multivariate analyses by logistic regression were performed. 

Results: Positive predictors of remission/LDA in both the univariate and the multivariate analyses were: male gender, age at the time of TNF-i treatment ≤ 54 years, negative baseline CRP, and concomitant DMARDs. The presence of any co-morbidity resulted to be a negative predictor of remission/LDA in both the univariate and the multivariate analyses. 

Conclusions: Demographic and clinical features were identified as reliable predictors of both the achievement and the maintenance of treatment targets in a cohort of RA patients treated for 2 years with first line TNF-i. 

 

 Background:  Pomegranate extract (POMx) consumption has been shown to reduce the incidence and severity of collagen-induced arthritis in mice.

Objectives:  To investigate whether pomegranate consumption affects disease activity in patients with rheumatoid arthritis (RA), in relation to their serum oxidative status.

Methods:  In this pilot 12 week open-labeled study eight patients with active RA consumed POMx (10 ml/day) for 12 weeks. Patients’ joint status and serum oxidative status (lipid peroxidation, total thiols group, paraoxonase 1 activity) were evaluated at baseline and at week 12.

Results:  Six patients completed the study. POMx consumption significantly (P < 0.02) reduced the composite Disease Activity Index (DAS28) by 17%, which could be related mostly to a significant (P < 0.005) reduction in the tender joint count (by 62%). These results were associated with a significant (P < 0.02) reduction in serum oxidative status and a moderate but significant (P < 0.02) increase in serum high density lipoprotein-associated paraoxonase 1 (PON1) activity. The addition of POMx to serum from RA patients reduced free radical-induced lipid peroxidation by up to 25%.

Conclusions:  The pomegranate consumption reduced DAS28 in RA patients, and this effect could be related to the antioxidative property of pomegranates. Dietary supplementation with pomegranates may be a useful complementary strategy to attenuate clinical symptoms in RA patients.

Background: Previous studies have suggested that prolactin may serve as an indicator of disease progression in breast cancer.

Objectives: To evaluate the use of PRL as a serum tumor marker in patients with breast cancer.

Methods: PRL serum level was determined in 99 breast cancer patients and compared with CA 15-3 serum level.

Results: Elevated serum level of PRL (>20 ng/ml) was found in 8 of 99 patients (8.1%). A stratified analysis of prolactin levels according to therapy revealed that PRL levels was increased in 8 of 55 untreated patients (14.5%), but not in patients who received hormonal or chemotherapy in the 3 months preceding the test (0/42 patients, P=0.009). However, mean PRL level was similar in patients with no evidence of disease activity and in patients with active disease (10.2 vs. 8.2 ng/ml, NS). In comparison, CA 15-3 mean level was significantly lower in patients with no evidence of disease as compared to patients with active disease (18.2 vs. 144.7 units/ml, P<0.001). PRL level was increased in 6 of 60 patients (10%) with no evidence of disease and in 2 of 39 (5.2%) with active disease (NS). In comparison, CA 15-3 level was increased in 3 of 60 patients (5%) with no evidence of disease and in 24 of 39 (61.5%) with active disease (P<0.001).

Conclusions: PRL levels are decreased following hormonal or chemotherapy in patients with breast cancer and there is no correlation between PRL serum level and the state of disease. Further studies are needed to clarify a possible clinical significance of hyperprolactinemia in a subset of patients with breast cancer.

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PRL = prolactin