Assessment of venous disease with different venous disease specific scales in Behçet's disease patients with deep vein thrombosis.

Objectives: Post-thrombotic syndrome (PTS) is a frequent and important consequence of deep vein thrombosis (DVT) for Behcet`s disease (BD) patients. Although various clinical scales are used to diagnose PTS, Villalta scale was accepted as the standard tool to diagnose and grade the severity of PTS. Poor quality of life (Qol) in the general population was defined for patients with PTS, however, studies in BD patients with PTS is limited. Our aim was to compare the performance of different scales to assess venous disease in BD patients with a history of DVT and to assess the relationship with quality of life.Methods: Patients with BD (n = 194, M/F:157/37, age:39.1 ± 9.5 years) with a DVT history were investigated. Villalta, VCSS,CEAP scale and SF 36,Veines scales were used to assess venous disease and QoL respectively.Results: Among BD patients, 120 (61.9 %) patients were classified as having PTS by Villalta and of patients 18% had severe PTS. Half of patients with CEAP score <4 were classified as having PTS. Also, 42% of patients with CEAP>4 and almost two third of VCSS classified severe CVD patients was grouped in severe PTS by Villalta scale. VCSS and Villalta classified PTS patients had decreased disease specific and general Qol scores compared to the patients without PTS. Also, severe PTS group (by VCSS) had decreased veines QoL scores and PCS compared to mild/moderate group.Conclusion: BD patients with DVT have a high risk of PTS. Our results show that both Villalta scale and VCSS should be used to assess venous disease BD patients with DVT. However, VCSS classified severity of PTS can show better correlation with venous disease -specific QoL.

Assessment of α9ß1 integrin as a new diagnostic and therapeutic target in Behcet's disease.

This study aimed to investigate the roles of α9ß1 integrin and its ligands in Behçet's disease (BD) by examining serum levels and gene expressions. 15 healthy controls and 30 BD patients (14 active and 16 inactive) were included in the study. Serum levels of ITGA9, ITGB1, TNC, OPN, VCAM-1, VEGF, TSP1, TGM2, Emilin-1, and vWF, were measured by ELISA. Gene expressions of α9ß1 (ITGA9 and ITGB1) and its ligands (TNC and SPP1) were evaluated by RT-PCR. Laboratory findings (CRP, ESR, HGB, WBC, RBC, neutrophil, lymphocyte, PLT, RDW, MPV, PCT, and HLA-B51) were obtained from the electronic database. Active BD patients had higher serum levels of α9ß1 integrin and its ligands than inactive patients and healthy controls. No significant difference was observed between healthy controls and inactive patients. Gene expressions of ITGB1 and SPP1 were increased in both patient groups compared to healthy controls. ITGA9 and TNC gene expression levels were lower in the active group than in the inactive group. No noticeable differences were found in ITGB1 and SPP1 gene expressions between the patient groups. BD patients exhibited elevated CRP, ESR, WBC, neutrophil, PLT, and PCT levels, while HGB, RBC, and RDW values were lower than healthy controls. Active patients had higher CRP, ESR, WBC, neutrophil, and PLT levels. Significant positive correlations were found between CRP, ESR, WBC, neutrophil, PLT, PCT and serum levels of α9ß1 integrin and its ligands. Increased release of α9ß1 integrin and its ligands is associated with BD, suggesting their potential as markers for disease severity.

Attitudes of patients with a rheumatic disease on drug use in the COVID-19 pandemic.

BACKGROUND: Anti-rheumatic drugs can increase the predisposition to infection, and patients may be unaware of continuing their treatment during the COVID-19 pandemic. OBJECTIVE: This study aimed to assess whether patients maintain their treatment for rheumatic conditions during the pandemic period and determine the factors responsible for discontinuation. METHODS: Patients were randomly selected from the prospectively collected database of our tertiary referral center. The patients were interviewed by telephone through a standardized closed-ended questionnaire, which is targeting the continuity of the treatment plan and the considerations related to the individual choice. The patients were asked whether they hesitated to visit the hospital for follow-up or intravenous drug administration. RESULTS: A total of 278 patients completed the questionnaire. While 62 of the patients (22.3%) had reduced or interrupted the treatment, only 11 patients (3.9%) stopped the treatment completely. A significant difference was observed between the duration of illness and the discontinuation of treatment. (p = 0.023) There was a significant difference in disease activity between the group that stopped treatment and continued treatment. (p = 0.001) There was no statistically significant difference in other demographic characteristics. One hundred thirty-five patients (48.6%) made the treatment decision by themselves, and 80% continued the treatment. Reasons for stopping the treatment were anxiety (48.4%), not being able to go to the hospital for intravenous treatment (45.1%), and not being able to find the drug (6.5%). CONCLUSION: Since patients with long-term illnesses were found to be significantly more likely to stop their treatment, this group of patients should be monitored.

The roles of M30 and M65 in the assessment of treatment response and prognosis in patients with non-small cell lung cancer, who receive neoadjuvant treatment.

AIM OF THE STUDY: To investigate the efficacy of evaluating prognosis and response to lung cancer treatment using M30 and M65 antigens, which are indicators of necrosis. MATERIAL AND METHODS: Forty-eightpatients with lung cancer, who were planned to receive neoadjuvant chemotherapy, and 38 healthy volunteers were enrolled in the study. Using M30 and M65 levels, cytokeratin 18 levels were measured twice: before and 48 hours after the first chemotherapy treatment. Apoptotic and total necrosis levels were determined by measuring the M65 and M30 levels. RESULTS: The M30 and M65 antigen levels in the patient group were significantly higher than in the control group (p< 0.001). The M30 and M65 antigen levels were significantly higher 48 hours after the chemotherapy compared with before the chemotherapy (p< 0.001). There were no significant differences in M65 levels between patients who responded to treatment and patients who progressed. The M30 levels increased significantly in patients with disease progression (p= 0.694 and p = 0.024, respectively). No significant differences in serum M30 and M65 antigen levels were found when compared between the surviving and deceased patients (p = 0.126 and p = 0.340, respectively). CONCLUSIONS: A significant increase was detected in serum M30 and M65 levels in patients with lung cancer. There was a greater increase in serum M30 levels in patients who did not respond to the chemotherapy. This result gives rise to the thought that evaluating apoptosis and total necrosis through M30 and M65 measurements alone only in patients receiving neoadjuvant chemotherapy would be insufficient for specifying the effectiveness of the treatment.

Methodology of a new inflammatory arthritis registry: TReasure

Background/aim: The TReasure registry, created in 2017, is an observational multicenter cohort that includes inflammatory arthritis patients. This article reviews the methodology and objectives of the TReasure registry established to collect data from rheumatoid arthritis (RA) and spondyloarthritis (SpA) patients. Methodology: Fifteen rheumatology centers in Turkey will contribute data to the TReasure database. The actual proprietor of the database is the Hacettepe Rheumatology Association (HRD) and Hacettepe Financial Enterprises. Pharmaceutical companies that operate in Turkey (in alphabetical or er), Abbvie, Amgen, BMS, Celltrion Healthcare, Novartis, Pfizer, Roche, and UCB, support the TReasure registry. TReasure is a web-based database to which users connect through a URL (https://www.trials-network.org/treasure) with their unique identifier and passwords provided for data entry and access. TReasure records demographic and clinical features, comorbidities, radiology and laboratory results, measures of disease activity, and treatment data. Discussion: TReasure will provide us with various types of data, such as a cross-sectional view of the current nationwide status of the patients currently receiving these treatments, and retrospective data as much as allowed by the participating centers' records. Finally, a high-quality prospective dataset will be built over the ensuing years from patients with a new diagnosis of RA or SpA.