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
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
cmuzf完成签到,获得积分10
刚刚
王靖雯完成签到,获得积分10
刚刚
大江流发布了新的文献求助10
1秒前
季然完成签到,获得积分10
1秒前
CandyJump完成签到,获得积分10
2秒前
谢逊发布了新的文献求助20
2秒前
科研通AI6.1应助wxliao1234采纳,获得10
2秒前
2秒前
小满完成签到,获得积分10
2秒前
犹豫的雯完成签到,获得积分10
3秒前
活泼小笼包完成签到,获得积分10
3秒前
yuxiao完成签到,获得积分10
3秒前
4秒前
量子星尘发布了新的文献求助10
4秒前
Chen完成签到 ,获得积分10
4秒前
lilylian完成签到,获得积分10
4秒前
zoro完成签到,获得积分10
4秒前
科研通AI6.1应助肖旻采纳,获得10
5秒前
小王完成签到,获得积分10
5秒前
乐观的箭头完成签到,获得积分10
6秒前
6秒前
nuantong1shy完成签到,获得积分10
6秒前
Unshouable完成签到,获得积分10
7秒前
kiska完成签到,获得积分10
7秒前
蓝白胖次哇完成签到,获得积分10
8秒前
快乐慕灵完成签到,获得积分10
10秒前
10秒前
黄景滨完成签到 ,获得积分10
10秒前
Aipoi完成签到,获得积分10
10秒前
Orange应助朴实问儿采纳,获得30
10秒前
黎其完成签到,获得积分10
10秒前
ghx完成签到 ,获得积分10
10秒前
goodbuhui完成签到,获得积分10
10秒前
灵巧的寄真完成签到,获得积分10
11秒前
12秒前
12秒前
13秒前
YY完成签到,获得积分10
13秒前
潇洒的思山完成签到,获得积分10
14秒前
Cker完成签到,获得积分10
15秒前
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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
从k到英国情人 1700
„Semitische Wissenschaften“? 1510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5773550
求助须知:如何正确求助?哪些是违规求助? 5612386
关于积分的说明 15431598
捐赠科研通 4906002
什么是DOI,文献DOI怎么找? 2640012
邀请新用户注册赠送积分活动 1587860
关于科研通互助平台的介绍 1542922