特发性肺纤维化患者身体组成、运动能力与健康相关生活质量的关系

F. V. Machado, Ada E. M. Bloem, T. Schneeberger, I. Jarosch, R. Gloeckl, S. Winterkamp, F. Franssen, R. Koczulla, F. Pitta, M. Spruit, K. Kenn
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引用次数: 1

摘要

©作者(或其雇主)2021。在CC BYNC下允许重用。禁止商业重用。请参阅权利和权限。英国医学杂志出版。生物电阻抗分析(BIA)可以用来估计脂肪无质量指数(FFMI)。然而,使用直接测量的BIA变量,如相角(PhA),已经引起了人们的注意。特发性肺纤维化(IPF)患者低FFMI和PhA的频率及其与运动能力和健康相关生活质量(HRQL)的关系几乎没有研究。目的探讨IPF患者低FFMI和PhA的频率及其与运动能力和HRQL的关系。方法采用6分钟步行距离(6MWD)评估患者肺功能、体成分、运动能力,采用36项医学结局研究短表问卷(SF36)评估患者HRQL。根据年龄-体重指数(BMI)特定参考值的第10百分位数,将患者分为正常或低PhA或FFMI。结果共纳入98例患者,其中男性84例,年龄68±8岁,用力肺活量:预计64%±18%。24例出现低PhA。与正常PhA患者相比,他们的特点是肺功能、运动能力和HRQL更差。10例患者表现为低FFMI,尽管体成分存在差异,但这些患者与FFMI正常患者之间没有差异。在单次回归分析中,年龄、肺功能和体成分变量(FFMI除外)与6MWD和SF36 Physical Summary Score相关(R2= 0.06-0.36, p<0.05)。所有变量均与SF36心理总结评分无关。结论BMI正常至肥胖的IPF患者中有1 / 4存在异常低的PhA。PhA低的患者肺功能、运动能力和HRQL较差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between body composition, exercise capacity and health related quality of life in Idiopathic Pulmonary Fibrosis
© Author(s) (or their employer(s)) 2021. Reuse permitted under CC BYNC. No commercial reuse. See rights and permissions. Published by BMJ. ABSTRACT Introduction Bioelectrical impedance analysis (BIA) can be used to estimate FatFree Mass Index (FFMI). However, the use of directly measured BIA variables, such as phase angle (PhA), has gained attention. The frequency of low FFMI and PhA and its associations with exercise capacity and healthrelated quality of life (HRQL) in patients with idiopathic pulmonary fibrosis (IPF) have been scarcely studied. Objectives To investigate the frequency of low FFMI and PhA and their associations with exercise capacity and HRQL in patients with IPF. Methods Patients underwent assessment of lung function, body composition, exercise capacity by the 6 min walk distance (6MWD), and HRQL by the Medical Outcomes Study ShortForm 36item Questionnaire (SF36). Patients were classified as presenting normal or low PhA or FFMI, accordingly to the 10th percentiles of agesexbody mass index (BMI)specific reference values. Results 98 patients (84 males, age: 68±8 years, forced vital capacity: 64%±18%predicted) were included. 24 patients presented low PhA. They were characterised by worse lung function, exercise capacity and HRQL compared with patients with normal PhA. 10 patients presented low FFMI, but despite differences in body composition, no differences were found between these patients and patients with normal FFMI. In a single regression analysis, age, lung function and body composition variables (except FFMI) were related to 6MWD and SF36 Physical Summary Score (R2=0.06–0.36, p<0.05). None of the variables were related to SF36 Mental Summary Score. Conclusion Onefourth of the patients with IPF with normal to obese BMI present abnormally low PhA. Patients classified as low PhA presented worse lung function, exercise capacity and HRQL.
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