All were homozygous for DeltaF508, and categories of "severe" (cases) or "mild" (control subjects) lung disease were defined by the lowest or highest quartile of forced expired volume (FEV(1)) for age in the CF population.
• Lung imaging is essential in the diagnostic work-up of CF patients • MRI serves as a powerful, radiation-free modality in paediatric CF patients • Observational single-centre study showed significant correlation of MR-CF score and FEV <sub>1</sub> • MR-CF score is promising in predicting a loss of lung function.
FEV(1), FVC and BMI presented a significant linear correlation with plasma glucose value at 120 min at OGTT and were significantly lower in both CF-IGT and CFRD versus the CF-NGT group, whereas no differences were found between the CF-IGT and CFRD groups.
Modelling the relationship between pulmonary function and survival in cystic fibrosis (CF) is complicated by the fact that measures of pulmonary function commonly used such as the forced expiratory volume in one second (FEV(1)) are measured with error, and patients with the poorest lung function are increasingly censored by death, that is, data are available only for the patients who have survived to the current age.
What is Known: • Among children and adolescents with cystic fibrosis, those with history of meconium ileus in the neonatal period are at risk of having lower body mass index percentile and FEV <sub>1</sub> percent predicted.
Serum SP-D in CF patients was increased in parallel with leukocyte count and with reduced FEV-1 and may constitute an alternative biomarker for lung disease, in the clinical setting and in research.
The lack of correlation of sweat chloride with improvement in FEV(1) speaks to the multiplicity of factors, physiologic, environmental, and genetic, that likely modulate CF disease severity.
There was no association between pulmonary function measured by predicted FEV(1) and the biological classification (p = 0.98), Grantham (p = 0.28) or SIFT scores (p = 0.62), which suggests the pulmonary disease related to CF may involve other modifier genes and environmental factors.
To determine this we recruited 18 subjects with CF and 20 healthy subjects (age = 23 ± 7 vs. 24±4years; ht = 168 ± 8 vs. 174 ± 12 cm; wt = 64 ± 16 vs. 70 ± 13 kg; BMI = 23 ± 4 vs. 23±3 kg/m(2); FEV(1) = 72 ± 27 vs. 92 ± 12%pred; VO(2peak) = 45 ± 25 vs. 99 ± 24%pred, p < 0.05 for FEV(1) and VO(2peak), mean ± SD, for CF and healthy, respectively).