Osteoporotic Fracture Forecasting in Türkiye: Analysis of the Agreement and Correlation Between FRAX and Garvan Fracture Risk Calculator Tools Türk Postmenopozal Kadınlarda Osteoporotik Kırık Riski Değerlendirme Yaklaşımları: FRAX ve Garvan Kırık Risk Hesaplama Araçları Arasındaki Uyum ve Korelasyonun Analizi
Turk Osteoporoz Dergisi, cilt.31, sa.3, ss.138-144, 2025 (Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 31 Sayı: 3
- Basım Tarihi: 2025
- Doi Numarası: 10.4274/tod.galenos.2025.09475
- Dergi Adı: Turk Osteoporoz Dergisi
- Derginin Tarandığı İndeksler: Scopus, CINAHL, EMBASE, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.138-144
- Anahtar Kelimeler: Osteoporosis, fracture risk assessment tool (FRAX), Garvan fracture risk calculator (GFRC), postmenopausal women, hip fracture prediction
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Objective: To evaluate the correlation and agreement between fracture risk assessment tool (FRAX) and the Garvan fracture risk calculator (GFRC) in estimating the 10-year hip fracture risk in postmenopausal Turkish women with osteoporosis. Materials and Methods: A retrospective cross-sectional study was conducted in the Üsküdar State Hospital. Medical records of 347 postmenopausal women aged between 50 and 90 were analyzed. Data on clinical risk factors were collected, and fracture probabilities were calculated using FRAX and GFRC tools. Spearman’s rank correlation test was used to assess correlation, Wilcoxon signed-rank test was used to compare means, while the Interclass Correlation Coefficient (ICC) was calculated using two-way mixed effects model (ICC3) to evaluate agreement. Results: FRAX 10-year hip fracture risk scores were significantly higher than GFRC 10-year hip fracture scores (p<0.001). The Spearman’s correlation between FRAX and GFRC 10-year hip fracture risk scores was found to be strong (r=0.821, p<0.001). The ICC3 value was 0.054 [95% confidence interval (0.02, 0.11)]. Conclusion: In its current form, GFRC should be used complementarily rather than interchangeably for fracture risk prediction in postmenopausal Turkish women and should be reserved for specific patient populations. The results underline the need for population-specific calibrations for GFRC to improve predictive accuracy and clinical utility.