Cystic fibrosis related bone disease in children: Can it be predicted?


Nayir Buyuksahin H., DOĞRU ERSÖZ D., GÖZMEN O., Ozon A., Portakal O., EMİRALİOĞLU ORDUKAYA N., ...Daha Fazla

Clinical Nutrition, cilt.42, sa.9, ss.1631-1636, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 42 Sayı: 9
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.clnu.2023.07.015
  • Dergi Adı: Clinical Nutrition
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, CAB Abstracts, CINAHL, EMBASE, Food Science & Technology Abstracts, MEDLINE, Veterinary Science Database
  • Sayfa Sayıları: ss.1631-1636
  • Anahtar Kelimeler: BMD, Children, Cystic fibrosis, Fat-free mass, Hand grip strength, OPG/RANKL ratio
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Background&aims: Cystic fibrosis (CF) -related bone disease (CFBD) is an important complication of CF, and low BMD in childhood is a precursor of CFBD. Here, we aimed to investigate bone turnover biomarkers, including osteocalcin (OC), receptor activator of nuclear factor kappa B ligand (RANKL) and osteoprotegerin (OPG) in relation to low BMD in children with CF (cwCF). We also evaluated factors which could affect bone turnover with particular emphasis on fat-free mass (FFM), forced expiratory volume in 1 s (FEV1), hand grip strength (HGS), and functional capacity and physical activity. Methods: Sixteen cwCF aged 8–18 years with moderate low BMD (group1) and 64 cwCF with normal BMD (group2) were enrolled. Serum RANKL, OC, and OPG were determined by immunoenzymatic assays. Multiple parameters including pancreatic status, lung functions, body mass index (BMI), FFM measured by bioelectric impedance analysis (BIA), 6-minute walk test, vitamin D, nutritional intake, HGS, functional capacity and physical activity, serum and urine biomarkers were compared between the two groups. Results: We found similar serum levels of RANKL (p = 0.501), OC (p = 0.445), OPG (p = 0.380), and RANKL/OPG ratio (p = 0.449) between group1 and group2 in cwCF. BMI z-score (p < 0.001), FFMI z-score (p < 0.001), FEV1 z-score (p = 0.007), and right-HGS (%pred) (p = 0.009) significantly differed between the two groups. Multivariate linear regression revealed that the only factors that predicted BMD were FFMI z-score and HGS %pred. Conclusion: Serum OC, OPG, RANKL and RANKL/OPG ratio did not predict BMD in cwCF. FFMI z-score and HGS %pred measured by non-invasive and practical methods were the best predictors of BMD.