A score for predicting colchicine resistance at the time of diagnosis in familial Mediterranean fever: data from the TURPAID registry


BATU AKAL E. D., ŞENER S., Aydin E. A., Aliyev E., Bagrul I., Türkmen Ş., ...Daha Fazla

Rheumatology (United Kingdom), cilt.63, sa.3, ss.791-797, 2024 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Özet
  • Cilt numarası: 63 Sayı: 3
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1093/rheumatology/kead242
  • Dergi Adı: Rheumatology (United Kingdom)
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CINAHL, International Pharmaceutical Abstracts, MEDLINE
  • Sayfa Sayıları: ss.791-797
  • Anahtar Kelimeler: colchicine resistance, FMF, paediatric FMF, predictive score
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Objectives: Colchicine forms the mainstay of treatment in FMF. Approximately 5–10% of FMF patients are colchicine resistant and require anti-IL-1 drugs. We aimed to compare the characteristics of colchicine-resistant and colchicine-responsive patients and to develop a score for predicting colchicine resistance at the time of FMF diagnosis. Methods: FMF patients (0–18 years) enrolled in the Turkish Paediatric Autoinflammatory Diseases (TURPAID) registry were included. The predictive score for colchicine resistance was developed by using univariate/multivariate regression and receiver operating characteristics analyses. Results: A total of 3445 FMF patients [256 (7.4%) colchicine-resistant and 3189 colchicine-responsive) were included (female:male ratio 1.02; median age at diagnosis 67.4 months). Colchicine-resistant patients had longer, more frequent attacks and were younger at symptom onset and diagnosis (P < 0.05). Fever, erysipelas-like erythema, arthralgia, arthritis, myalgia, abdominal pain, diarrhoea, chest pain, comorbidities, parental consanguinity and homozygosity/compound heterozygosity for exon 10 MEFV mutations were significantly more prevalent among colchicine-resistant than colchicine-responsive patients (P < 0.05). Multivariate logistic regression analysis in the training cohort (n ¼ 2684) showed that age at symptom onset, attack frequency, arthritis, chest pain and having two exon 10 mutations were the strongest predictors of colchicine resistance. The score including these items had a sensitivity of 81.3% and a specificity of 49.1%. In the validation cohort (n ¼ 671), its sensitivity was 93.5% and specificity was 53.8%. Conclusion: We developed a clinician-friendly and practical predictive score that could help us identify FMF patients with a greater risk of colchicine resistance and tailor disease management individually at the time of diagnosis.