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

Halime Nayir Buyuksahin1, Deniz Dogru1, Onur Gözmen2

  • 1Division of Pulmonology, Department of Pediatrics, Hacettepe University Faculty of Medicine, Ankara, Turkey.

Insights

Bone density in children with cystic fibrosis (CF) is not predicted by common bone turnover biomarkers. Fat-free mass index (FFMI) and hand grip strength (HGS) are the best indicators of bone mineral density (BMD) in these patients.

Area of Science:

  • Pediatric Endocrinology
  • Bone Metabolism
  • Cystic Fibrosis Research

Background:

  • Cystic fibrosis (CF)-related bone disease (CFBD) is a significant complication.
  • Low bone mineral density (BMD) in childhood CF predicts future bone disease.
  • Investigating bone turnover biomarkers and predictive factors for BMD in children with CF is crucial.

Purpose of the Study:

  • To investigate bone turnover biomarkers (osteocalcin, RANKL, OPG) in relation to BMD in children with CF (cwCF).
  • To evaluate factors affecting bone turnover, including fat-free mass (FFM), lung function (FEV1), and hand grip strength (HGS).

Main Methods:

  • Compared 16 children with CF and moderate low BMD (group1) to 64 children with CF and normal BMD (group2).
  • Measured serum levels of osteocalcin (OC), receptor activator of nuclear factor kappa B ligand (RANKL), and osteoprotegerin (OPG).
  • Assessed body mass index (BMI), fat-free mass index (FFMI), forced expiratory volume in 1 second (FEV1), and hand grip strength (HGS).

Main Results:

  • No significant differences in serum RANKL, OC, OPG, or RANKL/OPG ratio between groups.
  • Significant differences observed in BMI z-score, FFMI z-score, FEV1 z-score, and HGS %pred between groups.
  • Multivariate regression identified FFMI z-score and HGS %pred as the sole predictors of BMD.

Conclusions:

  • Serum OC, OPG, RANKL, and RANKL/OPG ratio do not predict BMD in children with CF.
  • FFMI z-score and HGS %pred are the most effective, non-invasive predictors of BMD in this population.
Abstract

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