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囊性纤维化患儿和青少年的体成分与肺功能的相关性。

Association between body composition and pulmonary function in children and young people with cystic fibrosis.

机构信息

Department of Movement Sciences and Wellbeing, Parthenope University, Naples, Italy; Institute of Cellular Medicine, Newcastle University, UK.

Department of Movement Sciences and Wellbeing, Parthenope University, Naples, Italy.

出版信息

Nutrition. 2018 Apr;48:73-76. doi: 10.1016/j.nut.2017.10.026. Epub 2017 Dec 5.

Abstract

OBJECTIVES

Body mass index (BMI) has significant limitations when assessing nutritional status in pediatric patients with cystic fibrosis (CF). We evaluated whether measurements of lean body mass (LBM) and fat mass (FM) are more sensitive nutritional parameters by testing their association with pulmonary function in adolescent patients with CF.

METHODS

Sixty-nine male and female adolescents with CF were studied (age: 14.5 ± 2.3, BMI: 19.5 ± 2.3 kg/m). Dual-energy x-ray absorptiometry (DXA) was used to measure total and segmental (appendicular, truncal) body composition (FM, LBM bone mineral density, and content) as routine care to monitor bone health. Correlation and multiple regression analyses were performed to assess the association among body composition variables and forced expiratory volume in 1 s (FEV). We also evaluated the influence of the F508del mutation on body composition.

RESULTS

FEV was significantly associated with total (r = 0.68, P <0.001), truncal (r = 0.71, P <0.001), and appendicular (r = 0.67, P <0.001) LBM, whereas it was not associated with total (r = 0.02, P = 0.89) and truncal (r = 0.04, P = 0.77) FM. BMI had a significant but weaker correlation with FEV (r = 0.52, P <0.001) compared with LBM. LBM was the only significant predictor of FEV in fully adjusted regression models.

CONCLUSIONS

LBM is a significant predictor of pulmonary function in CF adolescent patients. DXA scanning performed as part of routine bone health monitoring in CF can provide important body composition data relevant to clinical interventions that optimize nutritional status. DXA reference data for LBM in non-adult populations are needed to enhance diagnostic assessment and monitor clinical progression of CF.

摘要

目的

体重指数(BMI)在评估囊性纤维化(CF)患儿的营养状况方面存在显著局限性。我们通过检测其与 CF 青少年患者肺功能的相关性,评估瘦体重(LBM)和体脂肪量(FM)测量值是否为更敏感的营养参数。

方法

研究了 69 名男性和女性 CF 青少年患者(年龄:14.5±2.3 岁,BMI:19.5±2.3kg/m²)。双能 X 射线吸收法(DXA)用于测量全身和节段(四肢、躯干)的身体成分(FM、LBM、骨矿物质密度和含量),作为常规护理以监测骨骼健康。进行相关性和多元回归分析以评估身体成分变量与 1 秒用力呼气量(FEV)之间的相关性。我们还评估了 F508del 突变对身体成分的影响。

结果

FEV 与全身(r=0.68,P<0.001)、躯干(r=0.71,P<0.001)和四肢(r=0.67,P<0.001)LBM 显著相关,而与全身(r=0.02,P=0.89)和躯干(r=0.04,P=0.77)FM 不相关。与 LBM 相比,BMI 与 FEV 的相关性虽然显著但较弱(r=0.52,P<0.001)。在完全调整的回归模型中,LBM 是 FEV 的唯一显著预测因子。

结论

LBM 是 CF 青少年患者肺功能的重要预测因子。在 CF 中作为常规骨骼健康监测的一部分进行 DXA 扫描,可以提供与优化营养状况的临床干预相关的重要身体成分数据。需要非成人人群的 LBM DXA 参考数据,以增强对 CF 的诊断评估并监测其临床进展。

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