Background: In patients with COPD, we investigated the effect of the fat-free mass (FFM) on maximal exercise capacity and the relationship with changes in operational lung volumes during exercise.

Methods: In a cross-sectional study 57 patients (16 females; age 65 ± 8 y) were consecutively assessed by resting lung function, symptom-limited cardiopulmonary exercise test, and body composition by means of bioelectrical impedance analysis to measure the FFM index (FFMI; in kilograms per square meter).

Results: Patients were categorized as depleted (n = 14) or nondepleted (n = 43) according to FFMI. No significant difference in gender, age, and resting lung function was found between depleted and nondepleted patients. When compared with nondepleted COPD patients, the depleted COPD patients had a significantly lower O2 uptake at the peak of exercise and at anaerobic threshold as well as at peak oxygen pulse, oxygen uptake efficiency slope (OUES), and heart rate recovery (HRR) (P < .05 for all comparisons), but similar inspiratory capacity/total lung capacity at the peak of exercise. Moreover, they also reported significantly higher leg fatigue (P < .05), but not dyspnea on exertion. In all patients, significant correlations (P < .01) were found between FFMI and peak oxygen pulse, OUES, HRR, and leg fatigue.

Conclusions: This study shows that FFM depletion plays a part in the reduction of exercise capacity in COPD patients, regardless of dynamic hyperinflation, and is strictly associated with poor cardiovascular response to exercise and to leg fatigue, but not with dyspnea.

Download full-text PDF

Source
http://dx.doi.org/10.4187/respcare.02709DOI Listing

Publication Analysis

Top Keywords

copd patients
16
exercise capacity
12
patients
9
fat-free mass
8
associated poor
8
dynamic hyperinflation
8
resting lung
8
lung function
8
depleted nondepleted
8
peak exercise
8

Similar Publications

Assessment of Emphysema on X-ray Equivalent Dose Photon-Counting Detector CT: Evaluation of Visual Scoring and Automated Quantification Algorithms.

Invest Radiol

October 2024

From the Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, University Zurich, Zurich, Switzerland (B.K., F.E., J.K., T.F., L.J.); Advanced Radiology Center, Department of Diagnostic Imaging and Oncological Radiotherapy, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy (C.S., A.R.L.); and Section of Radiology, Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, Rome, Italy (A.R.L.).

Objectives: The aim of this study was to evaluate the feasibility and efficacy of visual scoring, low-attenuation volume (LAV), and deep learning methods for estimating emphysema extent in x-ray dose photon-counting detector computed tomography (PCD-CT), aiming to explore future dose reduction potentials.

Methods: One hundred one prospectively enrolled patients underwent noncontrast low- and chest x-ray dose CT scans in the same study using PCD-CT. Overall image quality, sharpness, and noise, as well as visual emphysema pattern (no, trace, mild, moderate, confluent, and advanced destructive emphysema; as defined by the Fleischner Society), were independently assessed by 2 experienced radiologists for low- and x-ray dose images, followed by an expert consensus read.

View Article and Find Full Text PDF

Background: Dyspnoea is one of the emergency department's (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and "other diagnoses" by using deep learning and complete, unselected data from an entire regional health care system.

Methods: In this cross-sectional study, we included all dyspnoeic ED visits of patients ≥ 18 years of age at the two EDs in the region of Halland, Sweden, 07/01/2017-12/31/2019.

View Article and Find Full Text PDF

Coronavirus Disease 2019 (COVID-19), triggered by SARS-CoV-2, has represented a global pandemic associated with an elevated rate of mortality, mainly among older individuals. The extensive pulmonary involvement by the viral infection might have precipitated pre-existing chronic conditions in this vulnerable population, including heart failure (HF). The aim of this retrospective, observational study was to assess the impact of COVID-19 in patients with a prior diagnosis of HF referred to the Emergency Department of the Agostino Gemelli University Hospital between March 2020 and January 2023.

View Article and Find Full Text PDF

Role of diaphragmatic ultrasound in patients with acute exacerbation of chronic obstructive pulmonary disease.

World J Clin Cases

December 2024

Department of Medicine and Pharmacology, Texas A and M University, College Station, TX 77843, United States.

Assessing diaphragm function status is vital for diagnosing and treating acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Diaphrag-matic ultrasound has become increasingly important due to its non-invasive nature, absence of radiation exposure, widespread availability, prompt results, high accuracy, and repeatability at the bedside. The diaphragm is a crucial respiratory muscle.

View Article and Find Full Text PDF

Patients with multiple sclerosis (MS) face a heightened risk of developing chronic obstructive pulmonary disease (COPD). Despite this widely reported association, the pathogenic contributors and processes that may favor the development of COPD in MS patients have yet to be identified. Recent studies have suggested peripheral blood leukocytes as a potential link between COPD and autoimmune disorders.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!