亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Predictive factors of lung function in patients with COPD and heart failure

医学 慢性阻塞性肺病 肺活量测定 体质指数 生物电阻抗分析 心脏病学 心力衰竭 内科学 肺功能测试 射血分数 肥胖悖论 肥胖 肺容积 支气管扩张剂 超重 哮喘
作者
Nathalie Martínez Luna,Dulce González Islas,Arturo Orea Tejeda,Manuel Gómez Martínez,Yael Ramiro Gatelum Ayala,Óscar Ubaldo Martínez Reyna,Valeria Ariadna Martínez Vázquez,Ilse Pérez García,Martha Elena Quintero Martínez,Itzel Ameyalli Sandoval Sánchez,Leslie Verdeja Vendrell,Rocío Sánchez Santillan,Juan Jose Orozco Gutierrez,Stephanie Gisel Montoya Azpeitia
标识
DOI:10.1183/13993003.congress-2020.119
摘要

Introduction: The studies in Chronic Obstructive Pulmonary Disease (COPD) and Heart Failure (HF) indicate that patients with obesity have a better lung function and prognosis, this is known as “The obesity paradox", however, studies use Body Mass Index (BMI), without contemplating the muscle mass. Objective: To determine the predictive factors of lung function in COPD and HF patients. Material and Methods: In a cross-sectional study. Subjects with a diagnosis of COPD and HF were included. Patients with cancer and HIV were excluded. Body composition was measured by bioelectrical impedance, the skeletal muscle mass index (SMMI) was obtained, according to the Janssen criteria. Pulmonary function was evaluated by post-bronchodilator spirometry in which the forced expiratory volume (FEV1). Results: 420 patients were recruited, age 70.5 ± 11.36 years, 47.2% were women, 41% had HF with preserved ejection fraction, 44.7% in NHYA class II, 38.5% had GOLD 2, the BMI was 28.33 ± 7.32 and FEV1 (%) 60.66 ± 24.1. The predictors of lung function were: per Kg/cm of SMMI the FEV1 increases 2.72% and by each unit of BMI increased 0.58% of FEV1. However, in those with pulmonary congestion the FEV1 decreased by 8.37% Conclusions: Although the increase of BMI is related to better lung function, in this study, we show that muscle mass is the best factor to predict it. "The obesity paradox" does a wrong reading, because the BMI does not distinguish between muscle mass and fat mass. Loss of muscle mass and pulmonary congestion have an adverse effect on lung function.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
3秒前
面包会有的完成签到,获得积分10
5秒前
9秒前
lilyvan完成签到 ,获得积分10
10秒前
Yang发布了新的文献求助10
11秒前
华仔应助大半个菜鸟采纳,获得10
12秒前
Lv发布了新的文献求助30
17秒前
西吴完成签到 ,获得积分10
20秒前
蟒玉朝天完成签到 ,获得积分10
20秒前
tyfygvy发布了新的文献求助10
21秒前
翊嘉完成签到 ,获得积分10
22秒前
24秒前
NexusExplorer应助虚幻笑晴采纳,获得10
25秒前
贪玩的万仇完成签到 ,获得积分10
27秒前
周运完成签到 ,获得积分10
27秒前
坚强的蔷薇薇完成签到 ,获得积分10
27秒前
shuiyu发布了新的文献求助10
31秒前
三木子完成签到,获得积分10
32秒前
white完成签到 ,获得积分10
35秒前
高贵振家应助liuyuhongxiao采纳,获得20
36秒前
36秒前
生吃水果完成签到,获得积分10
37秒前
37秒前
40秒前
小天发布了新的文献求助10
40秒前
鲜橙完成签到 ,获得积分10
41秒前
43秒前
xieyy6发布了新的文献求助10
46秒前
091完成签到 ,获得积分10
46秒前
IfItheonlyone完成签到 ,获得积分10
46秒前
生吃水果发布了新的文献求助10
50秒前
wisdom完成签到,获得积分10
50秒前
50秒前
Akim应助阳光的涵菡采纳,获得10
52秒前
Hello应助深情的热狗采纳,获得10
54秒前
听话的书雁完成签到,获得积分10
57秒前
浅蓝完成签到 ,获得积分10
59秒前
糖伯虎完成签到 ,获得积分10
59秒前
充电宝应助听话的书雁采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Treatise on Geochemistry (Third edition) 1600
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
List of 1,091 Public Pension Profiles by Region 981
医养结合概论 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5458817
求助须知:如何正确求助?哪些是违规求助? 4564805
关于积分的说明 14296938
捐赠科研通 4489857
什么是DOI,文献DOI怎么找? 2459372
邀请新用户注册赠送积分活动 1449054
关于科研通互助平台的介绍 1424535