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Assessment of body composition in pediatric patients with cystic fibrosis.

机译:小儿囊性纤维化患者身体成分的评估。

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RATIONALE: Cystic fibrosis (CF) leads to pathological changes in organs that express the cystic fibrosis transmembrane conductance regulator (CFTR), including secretory cells of the digestive tract and the pancreas. Maintaining nutritional sufficiency is challenging for CF patients and therefore accurate monitoring is important for their clinical management. PURPOSE: The objectives of this study were to evaluate the effectiveness of skinfold measurements as an accurate method for determining body composition (fat mass (FM) and lean body mass (LBM)) of this population, using dual-energy X-ray absorptiometry (DEXA) as a gold standard comparison and to determine the most accurate equation for this calculation in children with CF. METHODS: Fifty-five pediatric patients with CF participated in the study. FM and LBM calculated via four methods: Slaughter, Durnin, Durenberg (2-site and 4-site). The relationship between the methods and DEXA results were estimated by intraclass-correlation coefficient (ICC) andBland and Altman analyses. RESULTS: The Slaughter method was the most accurate (ICC of 0.92 for FM and 0.99 for LBM) and displayed the least bias over the range of FM and LBM in CF patients. In addition, the results of Bland Altman analyses comparing each skinfold method to DEXA, revealed that the results were evenly distributed along the range of values for the Slaughter calculation, whereas the other three methods under and over estimated % fat results at the upper and lower ends of the range respectively. CONCLUSION: We therefore conclude that the Slaughter method may be used for body composition assessment of pediatric CF patients. This provides clinical teams with a simple, accurate and non-invasive method that can be used to monitor nutritional status in pediatric patients with CF.
机译:理由:囊性纤维化(CF)会导致表达囊性纤维化跨膜电导调节剂(CFTR)的器官发生病理变化,包括消化道和胰腺的分泌细胞。维持营养充足对CF患者具有挑战性,因此准确的监测对其临床管理非常重要。目的:本研究的目的是使用双能X射线吸收法评估皮褶测量作为确定该人群身体成分(脂肪质量(FM)和瘦体重(LBM))的准确方法的有效性( DEXA)作为黄金标准比较,并确定CF儿童的计算最准确的方程式。方法:55名小儿CF患者参加了该研究。 FM和LBM通过以下四种方法计算:屠宰,杜宁,杜伦伯格(2站点和4站点)。通过类内相关系数(ICC)以及Bland和Altman分析来估计方法与DEXA结果之间的关系。结果:屠宰法最准确(FM的ICC为0.92,LBM的ICC为0.99),CF患者的FM和LBM范围内的偏倚最小。此外,Bland Altman的分析结果将每种皮褶法与DEXA进行了比较,结果显示,该结果沿Slaughter计算值的范围均匀分布,而其他三种方法在上下脂肪含量的百分比上下均超过或低于估计值范围的两端。结论:因此,我们得出结论,屠宰法可用于小儿CF患者的身体成分评估。这为临床团队提供了一种简单,准确且无创的方法,可用于监测CF儿童患儿的营养状况。

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