Ramazan Emre Yiğit

Objectives: This study aimed to evaluate the predictability of the homozygous M694V genotype in paediatric FMF patients and to develop a clinical scoring system to enhance disease management strategies. Methods: This nationwide, multicentre, cross-sectional study included 3981 paediatric FMF patients with biallelic pathogenic variants in exon 10 of the Mediterranean fever gene. Patients were divided into two groups: group 1 (homozygous M694V) and group 2 (other variants). Data were collected from 37 paediatric rheumatology and/or nephrology clinics across Türkiye, covering patients followed between 2014 and 2023. Results: Group 1 had significantly earlier symptom onset (≤3 years: 49.8% vs 43.9%, P < 0.001) and diagnosis (median age: 5 years vs 5.8 years, P < 0.001) compared with group 2. A higher prevalence of family history of FMF was observed in group 1 (P < 0.001). Clinical manifestations, including arthritis (27.5%), erysipelas-like erythema (ELE) (20.3%) and protracted febrile myalgia syndrome (PFMS) (3.6%), were significantly more frequent in group 1 (P < 0.001 for all). Colchicine resistance was also higher in group 1 (18.1% vs 5.1%, P < 0.001). Logistic regression analysis showed that ≤3 years of age at symptom onset, family history, arthritis, myalgia, PFMS, ELE and splenomegaly were independent predictors of the homozygous M694V genotype. A clinical scoring system was proposed based on these findings. Conclusion: This study provides valuable insights into the clinical predictors of the homozygous M694V genotype in paediatric FMF. The proposed scoring system will support clinicians in prognosis assessment and treatment planning, contributing to improved patient outcomes.

Objective: The aim of this study was to identify key parameters of a scoring system to be developed to predict the homozygous M694V genotype in patients clinically diagnosed with familial Mediterranean fever. Methods: This study was a cross-sectional analysis of 472 pediatric familial Mediterranean fever patients with a homozygous genotype on exon 10, followed at our tertiary pediatric rheumatology clinic between June 2016 and June 2023. The patients were categorized into 2 groups based on their genotypes: group 1 comprised 402 patients (85.2%) with the homozygous M694V genotype, whereas group 2 consisted of 70 patients (14.8%) with other homozygous genotypes. Demographic information, clinical manifestations, MEFV (Mediterranean fever) gene variant analysis, and treatment responses were recorded from the patients' medical charts. Results: The odds ratios for age at disease onset, arthritis, and chest pain were 0.892 (95% confidence interval [CI]: 0.832–0.958, p = 0.002), 2.565 (95% CI: 1.109–5.934, p = 0.028), and 2.351 (95% CI: 1.123–4.922, p = 0.023), respectively. A total of 60.7% of patients in group 1 had arthralgia, and 25% had erysipelas-like erythema, with these percentages were higher in group 1 compared with group 2 (p = 0.002, p = 0.001, respectively). Protracted febrile myalgia syndrome was detected in 1.5% of patients, all of whom had homozygous M694V genotype. Colchicine resistance was detected in 13.3% of patients, and all had homozygous M694V genotype. Conclusions: This preliminary evaluation identified key parameters for a scoring system designed to predict the homozygous M694V genotype. A multicenter national study will further refine these parameters and develop the scoring system, which will aid clinicians in disease prognosis and therapeutic decision-making.

The aim of this study was to assess the efficacy and safety of etanercept (ETA) use in juvenile idiopathic arthritis (JIA). The 24-month data of patients with JIA on etanercept in a single center were evaluated retrospectively. Response to treatment was assessed according to 10-joint Juvenile Arthritis Disease Activity Score (JADAS10), and JIA-American College of Rheumatology (ACR) improvement criteria. Safety assessments were based on adverse event (AE) reports. The study included 152 patients with JIA. The mean age at diagnosis of JIA was 8.5 ± 4.4 years, and treatment with ETA started at a mean age of 11.1 ± 4.4 years. The mean duration of ETA use was 16 ± 11.1 months. The mean JADAS10 score at baseline was 18.5 ± 5.9. By the third month, it had reduced to 8.6 ± 6.6 and by the sixth month to 5.7 ± 6. By the twelfth month, the JADAS10 score was 4.9 ± 6.7, and by the twenty-fourth month, it worsened to 7.3 ± 7.8. ACR50 response, was achieved in 79.6% of patients at three months, 67.1% at six months, 79.3% at twelfth months, 70.7% at twenty-fourth months. During ETA treatment, 10 patients required hospitalization for serious infections. Etanercept is a safe and effective option for patients with JIA. However, variations in response between JIA subtypes highlight the need for individualized treatment strategies.

Objectives: This study aimed to assess the readiness of our patient population for the transfer to adult care and the applicability of the TRANSITION-Q and STARx scales to the Turkish adolescent patient population. Patients and methods: A total of 153 patients (92 males, 61 females; mean age: 15.5±1.9 years; range, 12 to 18 years) were included in the study between September 15, 2021, and December 15, 2021. The patients were divided into two groups according to age groups: 12 to 15 years old and 16 to 18 years old. The patients were also divided into four groups according to their diagnosis: connective tissue diseases, juvenile idiopathic arthritis, vasculitis, and autoinflammatory diseases. The TRANSITION-Q and STARx scales were administered face-to-face by a nurse and a doctor. The transition readiness of the patients was evaluated according to their scores. Results: Sixty-nine (45%) patients were in the 12 to 15 age group, and 84 (55%) were in the 16 to 18 age group. Eight-four (54.9%) patients had juvenile idiopathic arthritis, 47 (30.7%) patients had an autoinflammatory disease, 14 (9.2%) patients had vasculitis, and eight (5.2%) patients had a connective tissue disease. There was no significant difference in the scale scores according to disease groups and sexes in both scales. Considering the age of the patients, the mean scores of the patients in the 16 to 18 age group were found to be significantly higher compared to the 12 to 15 age group for both the TRANSITION-Q (74.3±13.3 vs. 65.4±9.6, p

Objective The aim of the study was to determine the sensitivity and specificity rates of Eurofever/PRINTO autoinflammatory recurrent fever classification criteria with real-life data in patients with an autoinflammatory disease. Methods A total of 119 patients were included in the study. Based on clinical symptoms, they were divided into four subgroups: cryopyrin-associated periodic syndromes (CAPS), TNF receptor-associated periodic syndrome (TRAPS), mevalonate kinase deficiency (MKD), and syndrome of undifferentiated recurrent fever (SURF) using the Eurofever/PRINTO clinical classification criteria. In the last step, the patients were re-evaluated in the light of genetic results and their final diagnosis was reached. Results A total of 119 patients, including 37 CAPS, 13 TRAPS, 8 MKD, 39 SURF, 14 NLRP12-related autoinflammatory disease (NLRP12-AID), and 8 familial Mediterranean fever (FMF) patients were evaluated in the study. While the sensitivity of the new clinical Eurofever/PRINTO criteria was 48% for CAPS, 77% for TRAPS, 87.5%for MKD, and the specificity of the clinical criteria was 86% for CAPS, 85% for TRAPS, and 60% for MKD. The sensitivity of the new mixed (genetic plus clinical variables) Eurofever/PRINTO criteria was 27% for CAPS, 61% forTRAPS, 85% for MKD, and the specificity of the mixed criteria for each group was 100%. Conclusion We found the sensitivity of the Eurofever/PRINTO classification criteria to be low as genotypic changes between populations cause phenotypic differences. For this reason, we think that patient-based evaluation is correct rather than standard classification criteria in real life. Key-points • In systemic autoinflammatory diseases, common variants in the populations may alter the phenotype, and making it difficult to classify some patients with the current classification criteria. • In populations with common genetic variants, the classification criteria should be modified according to the clinical phenotype.