Redefining the diagnostic criteria for COPD

Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images

Chronic obstructive pulmonary disease (COPD) is a widely prevalent disease with significant mortality and disability rates and has become the third leading cause of death globally. Patients with acute exacerbation of COPD (AECOPD) often substantially suffer deterioration and death. Therefore, COPD patients deserve special consideration regarding treatment in this fragile population for pre-clinical health management. Based on the above, this paper proposes an AECOPD prediction model based on the Auto-Metric Graph Neural Network (AMGNN) using inspiratory and expiratory chest low-dose CT images. This study was approved by the ethics committee in the First Affiliated Hospital of Guangzhou Medical University. Subsequently, 202 COPD patients with inspiratory and expiratory chest CT Images and their annual number of AECOPD were collected after the exclusion. First, the inspiratory and expiratory lung parenchyma images of the 202 COPD patients are extracted using a trained ResU-Net. Then, inspiratory and expiratory lung Radiomics and CNN features are extracted from the 202 inspiratory and expiratory lung parenchyma images by Pyradiomics and pre-trained Med3D (a heterogeneous 3D network), respectively. Last, Radiomics and CNN features are combined and then further selected by the Lasso algorithm and generalized linear model for determining node features and risk factors of AMGNN, and then the AECOPD prediction model is established. Compared to related models, the proposed model performs best, achieving an accuracy of 0.944, precision of 0.950, F1-score of 0.944, ad area under the curve of 0.965. Therefore, it is concluded that our model may become an effective tool for AECOPD prediction.

Biofeedback Respiratory Rehabilitation Training System Based on Virtual Reality Technology

Traditional respiratory rehabilitation training fails to achieve visualization and quantification of respiratory data in improving problems such as decreased lung function and dyspnea in people with respiratory disorders, and the respiratory rehabilitation training process is simple and boring. Therefore, this article designs a biofeedback respiratory rehabilitation training system based on virtual reality technology. It collects respiratory data through a respiratory sensor and preprocesses it. At the same time, it combines the biofeedback respiratory rehabilitation training virtual scene to realize the interaction between respiratory data and virtual scenes. This drives changes in the virtual scene, and finally the respiratory data are fed back to the patient in a visual form to evaluate the improvement of the patient's lung function. This paper conducted an experiment with 10 participants to evaluate the system from two aspects: training effectiveness and user experience. The results show that this system has significantly improved the patient's lung function. Compared with traditional training methods, the respiratory data are quantified and visualized, the rehabilitation training effect is better, and the training process is more active and interesting.

Twenty years of changes in the definition of early chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory airway disease that affects the quality of life of nearly one-tenth of the global population. Due to irreversible airflow obstruction and progressive lung function decline, COPD is characterized by high mortality and disability rates, which imposes a huge economic burden on society. In recent years, the importance of intervention in the early stage of COPD has been recognized and the concept of early COPD has been proposed. Identifying and intervening in individuals with early COPD, some of whom have few or no symptoms, might halt or reverse the progressive decline in lung function, improve the quality of life, and better their prognosis. However, understanding of early COPD is not yet well established, and there are no unified and feasible diagnostic criteria, which complicates clinical research. In this article, we review evolution of the definition of early COPD over the past 20 years, describe the changes in awareness of this concept, and propose future research directions.

Description of Participation in Daily and Social Activities for Individuals with COPD

This study described the participation in daily and social activities and the perceived barriers and facilitators to participation of individuals with chronic obstructive pulmonary disease (COPD). Individuals, recruited from outpatient clinics, responded to a survey on their participation in, and barriers and facilitators towards, 26 daily and social activities, divided into 3 categories: (1) physical activity and movement (PAM); (2) self-care; and (3) social engagement. For each activity, chi-square analyses were used to examine participation differences by individuals': quartiles of airflow obstruction [percent predicted forced expiratory volume in 1 second (FEV1%predicted)] and breathlessness burden and exacerbation risk. Of the 200 participants (47% women; mean ± standard deviation age = 68 ± 9 years), most wanted to increase their participation in PAM activities (range 21-75%) and significant differences were found in 5/10 PAM activities for individuals' breathlessness burden and exacerbation risk (e.g., more individuals than expected in group A (modified Medical Research Council breathlessness score <2 and 0-1 exacerbations in past 12 months) participated in regular exercise as much as they wanted (χ₍₉₎²=20.43, Cramer's V=.23)). Regardless of the degree of airflow obstruction or breathlessness burden and exacerbation risk, the most common barrier to participation was breathlessness (p<.001, η²_p=.86) and the most common facilitator was engaging as part of their routine (p<.001, η²_p=.75). Individuals with COPD want to increase their participation in daily and social activities but are limited by breathlessness. Strategies to alleviate breathlessness should be identified/prioritized and incorporated into individuals' daily routines to meet their self-reported participation objectives in daily and social activities.