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This article aims to evaluate the possible effect of obesity on quality of life, psychological status, and other clinical variables in Psoriatic arthritis (PsA). PsA patients have been recruited by the Turkish League Against Rheumatism-Network from various centers in Turkey in this cross-sectional study. Patients with a body mass index (BMI) ≥ of 30 kg/m2 were considered obese. Differences among patients with regard to obesity status were assessed with health-related quality of life measures (PsA Quality of Life Questionnaire [PsAQoL]), psychological status (Hospital Anxiety and Depression Scale [HADS]), and disease activity parameters (the Disease Activity index for PSoriatic Arthritis [DAPSA], Disease Activity Score 28-C-reactive protein [DAS28-CRP], Bath Ankylosing Spondylitis Disease Activity Index [BASDAI], Psoriasis Area and Severity Index [PASI]), physical functions (Ankylosing Spondylitis Functional Index [BASFI], Health Assessment Questionnaire [HAQ], and Health Assessment Questionnaire for the spondyloarthropathies [HAQ-S]). Pain was assessed using visual analog scale of pain (VAS-P), and fatigue was evaluated using visual analog scale of fatigue (VAS-F) and Functional Assessment of Chronic Illness Therapy (FACIT). A total of 1033 patients with PsA, 650 (62.9%) non-obese and 383 (37.1%) obese were included in the study. The PsAQoL, HADS-Anxiety, HADS-Depression, DAPSA, DAS28-CRP, BASDAI, BASFI, HAQ and HAQ-S scores of the obese group were higher than the non-obese group (p < 0.05). VAS-P and PASI scores were similar between group of patients with and without obesity. Obese patients had higher median scores of VAS-F and FACIT than non-obese patients (p < 0.05). Linear regression analysis showed that BMI affects the quality of life, depression, and disease activity. Consequently, obesity has significant associations with higher disease activity, lower QoL, risk of anxiety, depression, and fatigue. Therefore, obesity should also be taken into account in the management of PsA patients.

The rheumatoid arthritis impact of disease (RAID) score was developed as a patient-derived composite response index for the evaluation of the disease impact on cases with rheumatoid arthritis (RA). The aim of this study was to evaluate the psychometric properties and performance of RAID score in the real-life settings. Cases with RA from our multi-center, nationwide registry called Biologic and targeted Synthetic antirheumatic drugs Registry RA (BioStaR RA) were included in this cross-sectional observational study. Demographic data, disease duration, pain, patient’s global assessment (PGA) and physician’s global assessment (PhyGA) were recorded. DAS28-ESR, DAS28-CRP, the simplified disease activity index (SDAI) and the clinical disease activity index (CDAI) were assessed as disease activity evaluations. The health assessment questionnaire-disability index (HAQ-DI) and RAID were completed by all the participants. The construct validity was tested by the analysis of correlations between RAID score and scores of PGA, disease activity indexes and HAQ-DI. We also evaluated the discriminatory ability of RAID to distinguish patients with different levels of disease activity and disability and the cut-off values were calculated by ROC analysis. 585 cases with RA were included in this investigation. The RAID score was significantly positively correlated with PGA, all disease activity indexes and HAQ-DI (p < 0.001). The discriminatory ability of RAID score in different disease activity and disability groups was also demonstrated (p < 0.001). To estimate DAS28-ESR (remission/low + moderate + high), RAID score cut-off points were 2.88 (sensitivity 73%, specificity 62%), 3.23 (sensitivity 75%, specificity 60%) and 3.79 (sensitivity 74%, specificity 58%), respectively. Our study indicated that RAID was a reliable tool in daily clinical practice by presenting its correlations with disease activity and disability assessments and by showing its discriminatory ability in these parameters in the real-life experiences.

Thirty-four percent of residents preferred to work in university hospitals after residency while 57% of residents who planned to pursue fellowship training preferred to practice at university hospitals after their fellowship. [...]an academically oriented career was the most desirable career choice. According to pediatric residents from Canada, the most important factors affecting their decisions are structured hours, lifestyle, financial considerations, interest in specific disease/patient population, and location.2 Surgical residents from the United States of America (USA) are most influenced by the potential of that specialty in their state.3 Factors such as acquisition of special skills, challenging diagnostic problems, role models and mentors are regarded by ophthalmology residents from the USA.4 There is a lack of data assessing factors that influence the career and subspecialty decisions of PRM residents in Turkey. [...]in this study, we aimed to determine the preferences of PRM residents in Turkey for future career choices, subspecialty training plans, and practice location and to identify the factors that influence those preferences. Private hospitals were the second preferred practice location and training and research hospitals were the third (Figure 6). [...]an academically oriented career was the most desirable career choice. [...]our results cannot be generalized to countries where compulsory service is not enforced. [...]understanding the career preferences of residents may assist in shaping residency program planning and future strategies of the Ministry of Health.

Rheumatoid arthritis (RA [MIM 180300]) is a complex, polygenic inflammatory autoimmune disease, resulting from interactions between genetic and environmental factors. Some of the RA-associated HLA-DRB1 alleles have shared epitope, but their distribution varies among different racial/ethnic groups. This study was aimed at investigating the distribution of HLA-DRB1 alleles in patients with RA in eastern Black Sea region of Turkey. DNA samples of 320 patients with RA and 360 healthy controls were studied for the determination of HLA-DRB1 allele distribution using PCR–SSP method. The allele frequencies of HLA-DRB1*01, *04, and *09 were higher in patients with RA compared with the controls ( P  < 0.005, P  < 0.0001, and P  < 0.01, respectively). On the other hand, in patients with RA, HLA-DRB1*13 allele was lower than the controls ( P  < 0.001). Of the HLA-DRB1*04 subgroups, *0401 (40.83% vs. 18.75%, P  < 0.001) was the most frequent allele in patients with RA, while DRB1*0402 (30.00% vs. 12.50%, P  < 0.005) allele in the controls. HLA-DRB1 allele frequencies in the patients with RA and the controls showed Hardy–Weinberg rule compliance. Results of this study indicate that HLA-DRB1*01, *04, and *09 alleles were associated with RA, and HLA-DRB1*13 was protective allele against RA. Among the subgroups of HLA-DRB1*04, *0401 was detected to be RA associated, while *0402 was being protective. These results have some differences compared with previous reports originating from other regions of Turkey.

Abstract Osteitis condensans ilii (OCI) is a benign pathology causing chronic back and hip pain. Although the definitive cause is uncertain, mechanical stress is a significant factor in the development of the disease. Bilateral involvement of the sacroiliac joint is typical. We describe a case of unilateral OCI with unilateral sclerosis observed at radiography in a 34-year-old patient presenting with chronic back and hip pain, together with a review of the literature.

Objective: Our aim was to identify the relationship of osteoporosis (OP) risk factors with bone mineral density (BMD) in patients admitted our outpatient clinic in Trabzon. Materials and Methods: Two hundred one patients with OP or osteopenia were included in this study. Sociodemographic characteristics of the patients were recorded and a standardized interview was employed by the researcher physician. BMD values were measured by dual energy X-ray absorptiometry at lumbar spine and femoral neck. Results: The mean age of the patients was 61.47±10.57 years (182 females/19 males). One hundred fifteen patients (57.2%) were osteoporotic and 86 (42.8%) were osteopenic. A significant negative correlation was found between age and femoral neck T scores. The number of pregnancies showed a significant negative correlation with lumbar T scores. Body mass index and daily tea consumption showed a negligible positive correlation with femoral neck T scores. No association was found between age at menarche, age at menopause, total lactation duration, daily calcium intake and T scores of lumbar spine and femoral neck. Conclusions: Identification of regional OP risk factors may be useful for the OP risk management of patients in clinical practice.

In our country, it is a subspecialty after completing the residency in either physical medicine and rehabilitation or internal medicine. Since the number of rheumatologists is inadequate in our country, physical medicine and rehabilitation specialists are intensely interested in the diagnosis, treatment, and rehabilitation of rheumatic diseases in addition to musculoskeletal and neurological diseases. [...]they do not reflect the entire disease picture including impairment, limitations, restrictions, and social participation. [...]the ASAS Health Index, a composite index, was developed for the assessment of SpA patients at the basis of International Classification of Functioning, Disability and Health. Moderate disease activity (1.3-2) may also be a target for treatment because low disease activity definition does not exist within the ASDAS. Since low disease activity may be misperceived that there is no disease activity, the term 'moderate disease activity' was preferred to reflect low-moderate disease activity.22 Expert panel discussed whether a 'window of opportunity' period as it is in RA existed for ax-SpA or not. The improvement in MRI scores at the end of the first year was 35.2% in SSZ, and 69.2% in ETA groups. [...]studies on efficacy of SSZ in early stage are required.11,32,43 Recommendation 9 Use of bDMARDs (the current practice is to start with a TNFi) should be considered for the patients with high disease activity despite standard treatments (LoA=9.75±0.58).

Patients with rheumatoid arthritis (RA) have increased morbidity and mortality due to cardiovascular (CV) comorbidities. The association of CV diseases (CVD) and traditional CV risk factors has been debated, depending on patient and RA characteristics. This study aimed to find the prevalence of CVD and CV risk factors in patients with RA. A multi-center cross-sectional study was performed on RA patients using the BioSTAR (Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs Registry) in September 2022. Socio-demographic, clinical, and follow-up data were collected. Myocardial infarction, ischemic heart disease, peripheral vascular disorders, congestive heart failure, ischemic stroke, and transient ischemic attack were regarded as major adverse cardiovascular events (MACEs). CVD was defined as the presence of at least one clinical situation of MACE. Group 1 and Group 2 included patients with and without CVD. Prevalence rates of CVD and traditional CV risk factors were the primary outcomes. Secondary outcomes were the differences in the clinical characteristics between patients with and without CVD. An analysis of 724 patients with a mean age of 55.1 ± 12.8 years diagnosed with RA was conducted. There was a female preponderance (79.6%). The prevalence rate of CVD was 4.6% (n = 33). The frequencies of the diseases in the MACE category were ischemic heart disease in 27, congestive heart failure in five, peripheral vascular disorders in three, and cerebrovascular events in three patients. The patients with CVD (Group 1) were significantly male, older, and had higher BMI (p = 0.027, p < 0.001, and p = 0.041). Obesity (33.4%) and hypertension (27.2%) were the two CV risk factors most frequently. Male sex (HR = 7.818, 95% CI 3.030–20.173, p < 0.001) and hypertension (HR = 4.570, 95% CI 1.567–13.328, p = 0.005) were the independent risk factors for CVD. The prevalence of CVD in RA patients was 4.6%. Some common risk factors for CVD in the general population, including male sex, older age, and hypertension, were evident in RA patients. Male sex and hypertension were the independent risk factors for developing CVD in patients with RA.

This study aimed to investigate the duration of diagnostic delay in patients with psoriatic arthritis (PsA) and identify potential contributing factors using a comprehensive, population-based approach. Data were obtained from the Turkish League Against Rheumatism (TLAR)-Network, involving patients who met the CASPAR criteria. Diagnostic delay was defined as time interval from symptom onset to PsA diagnosis, categorized as ≤ 2 years and > 2 years. Temporal trends were assessed by grouping patients based on the year of diagnosis. Various factors including demographics, clinical characteristics, disease activity, quality of life, physical function, disability, fatigue, and well-being were examined. Logistic regression models were used to identify factors associated with diagnostic delay. Among 1,134 PsA patients, mean diagnostic delay was 35.1 months (median: 12). Approximately 39.15% were diagnosed within 3 months, and 67.02% were diagnosed within 24 months. Patients experiencing longer delays had higher scores in Psoriatic Arthritis Quality of Life Questionnaire (PsAQoL), Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), patient’s global assessment (PtGA) and physician’s global assessment (PhGA). Diagnostic delay has decreased over time, with median delay falling from 60 to 24 months throughout pre-2010 and 2015–2019 terms. Several factors were identified as significant contributors to delayed diagnosis, including lower levels of education (OR = 2.63), arthritis symptoms preceding skin manifestations (OR = 1.72), low back pain at first visit (OR = 1.60), symptom onset age (OR = 0.96), and psoriasis subtype (OR = 0.25). Timely diagnosis of PsA is crucial for effective management and improved outcomes. Despite recent improvements, about one-third of PsA patients still experience delays exceeding 2 years. By identifying influential factors such as education level, arthritis symptoms preceding skin manifestations, initial visit symptoms, age of symptom onset, and psoriasis subtype, healthcare practitioners may create specific techniques to help in early detection and intervention.

The association between spondyloarthritis and cardiovascular (CV) diseases is complex with variable outcomes. This study aimed to assess the prevalence rates of CV diseases and to analyze the impact of CV risk factors on CV disease in patients with spondyloarthritis. A multi-center cross-sectional study using the BioSTAR (Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs Registry) database was performed on patients with spondyloarthritis. Socio-demographic, laboratory, and clinical data were collected. Patients with and without major adverse cardiovascular events (MACE) were grouped as Group 1 and Group 2. The primary outcome was the overall group’s prevalence rates of CV disease and CV risk factors. The secondary outcome was the difference in socio-demographic and clinical characteristics between the groups and predictive risk factors for CV disease. There were 1457 patients with a mean age of 45.7 ± 10.9 years. The prevalence rate for CV disease was 3% (n = 44). The distribution of these diseases was coronary artery disease (n = 42), congestive heart failure (n = 4), peripheral vascular disorders (n = 6), and cerebrovascular events (n = 4). Patients in Group 1 were significantly male (p = 0.014) and older than those in Group 2 (p < 0.001). There were significantly more patients with hypertension, diabetes mellitus, chronic renal failure, dyslipidemia, and malignancy in Group 1 than in Group 2 (p < 0.05). Smoking (36.7%), obesity (24.4%), and hypertension (13.8%) were the most prevalent traditional CV risk factors. Hypertension (HR = 3.147, 95% CI 1.461–6.778, p = 0.003), dyslipidemia (HR = 3.476, 95% CI 1.631–7.406, p = 0.001), and cancer history (HR = 5.852, 95% CI 1.189–28.810, p = 0.030) were the independent predictors for CV disease. A multi-center cross-sectional study using the BioSTAR (Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs Registry) database was performed on patients with spondyloarthritis. Socio-demographic, laboratory, and clinical data were collected. Patients with and without major adverse cardiovascular events (MACE) were grouped as Group 1 and Group 2. The primary outcome was the overall group’s prevalence rates of CV disease and CV risk factors. The secondary outcome was the difference in socio-demographic and clinical characteristics between the groups and predictive risk factors for CV disease. There were 1457 patients with a mean age of 45.7 ± 10.9 years. The prevalence rate for CV disease was 3% (n = 44). The distribution of these diseases was coronary artery disease (n = 42), congestive heart failure (n = 4), peripheral vascular disorders (n = 6), and cerebrovascular events (n = 4). Patients in Group 1 were significantly male (p = 0.014) and older than those in Group 2 (p < 0.001). There were significantly more patients with hypertension, diabetes mellitus, chronic renal failure, dyslipidemia, and malignancy in Group 1 than in Group 2 (p < 0.05). Smoking (36.7%), obesity (24.4%), and hypertension (13.8%) were the most prevalent traditional CV risk factors. Hypertension (HR = 3.147, 95% CI 1.461–6.778, p = 0.003), dyslipidemia (HR = 3.476, 95% CI 1.631–7.406, p = 0.001), and cancer history (HR = 5.852, 95% CI 1.189–28.810, p = 0.030) were the independent predictors for CV disease. The prevalence rate of CV disease was 3.0% in patients with spondyloarthritis. Hypertension, dyslipidemia, and cancer history were the independent CV risk factors for CV disease in patients with spondyloarthritis.