This study aims to investigate discriminatory ability of the Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Neutrophil Percentage-to-Albumin Ratio (NPAR), in differentiating Behçet's Syndrome (BS) organ involvements from mucocutaneous involvement. This retrospective cohort study analyzed 436 patients diagnosed with BS from 2018 to 2023. Patients were categorized into three groups based on organ involvement: vascular, only mucocutaneous, and other organ involvement. Receiver Operating Characteristic (ROC) analysis was used to evaluate the discriminatory ability (mucocutaneous vs rest, vascular vs rest). DeLong's test was used to determine statistical differences in discriminatory power between the models. Out of 436, 115 patients had vascular involvement. SII, SIRI, and NPAR were notably elevated in the vascular involvement group (p < 0.001). ROC analysis revealed that, SII, SIRI and NPAR showed discriminative ability for vascular involvement with AUCs of 0.87 for SII, 0.87 for SIRI, and 0.88 for NPAR. Pairwise comparisons using DeLong's test indicated that all three models performed similarly. SII, SIRI, and NPAR are promising noninvasive biomarkers for predicting vascular involvement. These indices, derived from routine laboratory tests, could enhance early screening and may improve patient outcomes by enabling timely intervention.

Background: The integration of artificial intelligence (AI) in medicine has progressed from rule-based systems to advanced models and is showing potential in clinical decision-making. In this study, the psychological impact of AI collaboration in clinical practice is assessed, highlighting its role as a support tool for medical residents. This study aimed to compare clinical decision-making approaches of junior rheumatology residents with both trained and untrained AI models in clinical reasoning, pre-diagnosis, first-line, and second-line management stages. Methods: Ten junior rheumatology residents and two GPT-4 models (trained and untrained) responded to 10 clinical cases, encompassing diagnostic and treatment challenges in inflammatory arthritis. The cases were evaluated using the Revised-IDEA (R-IDEA) scoring system and additional case management metrics. In addition to scoring clinical case performance, residents’ attitudes toward AI integration in clinical practice were assessed through a structured questionnaire, focusing on perceptions of AI’s potential after reviewing the trained GPT-4’s answers. Results: Trained GPT-4 outperformed residents across all stages, achieving significantly higher median R-IDEA scores and superior performance in pre-diagnosis, first-line, and second-line management phases. Residents expressed a positive attitude toward AI integration, with 60% favoring AI as a supportive tool in clinical practice, anticipating benefits in competence, fatigue, and burnout. Conclusions: Trained GPT-4 models outperform junior residents in clinical reasoning and management of rheumatology cases. Residents’ positive attitudes toward AI suggest its potential as a supportive tool to enhance confidence and reduce uncertainty in clinical practice. Trained GPT-4 may be used as a supplementary tool during the early years of residency.

Objectives: This study aims to evaluate nailfold capillaroscopic pattern in patents with fibromyalgia and to assess the relation of capillaroscopic parameters with clinical variables and disease-related measures. Patients and methods: This cross-sectional, case-control study included 60 participants (4 males, 56 females; mean age: 44.0±8.2 years; range, 26 to 64 years) between August 2019 and November 2019. All participants were divided into two groups as the primary fibromyalgia group (n=30) who met the 2016 modified American College of Rheumatology Diagnostic Criteria for Fibromyalgia and the control group (n=30) consisting of age- and sex-matched healthy individuals. Nailfold capillaroscopy was performed by a digital microscope under a magnification of 200X. Capillary density, capillary loop diameter, number of dilated, giant and neoangiogenic capillaries, capillary shape, number of avascular areas, micro-aneurysms and micro-hemorrhages were evaluated by an assessor who was blind to the group allocation. In the fibromyalgia group, Widespread Pain Index, Symptom Severity Scale scores, and Fibromyalgia Severity scores were calculated. Health status and presence of benign joint hypermobility syndrome (BJHS) were evaluated using the Fibromyalgia Impact Questionnaire (FIQ) and revised Brighton criteria, respectively. Results: Of the capillaroscopic parameters, the mean capillary loop diameter, number of micro-aneurysms, avascular areas, and neoangiogenic capillaries were significantly higher in the patient group compared to the controls (p

Background: The aim of this study is to determine the demographic, clinical and laboratory characteristics of the patients who followed up with the diagnosis of sarcoidosis, to investigate the distribution frequency of rheumatological findings and to examine the disease management from the perspective of rheumatology. Methods: Patients who were followed up with the diagnosis of sarcoidosis in the rheumatology clinic of Ankara City Hospital between November 2019 and November 2022 were evaluated. Demographic, clinical, radiological, serological, laboratory, and histopathological findings, and rheumatological, systemic, and locomotor system examination findings of the patients were obtained from the medical data registered in the hospital. Results: A total of seventy sarcoidosis patients (48.98 +/- 11.78 years, %75 female) were included in the study. Joint involvement was observed in 64.3% of cases, skin involvement in 48.6% of cases, and ocular involvement in 25.7% of cases. The ankle was the most frequently involved joint, followed by the knee and small joints in the foot. Corticosteroids were the most used therapeutic agent, and pulmonary and joint findings were the most common reasons for starting treatment. Conclusions: Sarcoidosis is a disease that mimics many diseases, misdiagnosis and treatment should be avoided with a good and fast differential diagnosis. Clinicians, especially rheumatologists, should remember sarcoidosis more frequently and keep it in mind in the differential diagnosis.