Computed tomography-identified phenotypes of small airway obstructions in chronic obstructive pulmonary disease

Li, Tao; Zhou, Hailang; Zhou, Zekun; Guo, Liquan; Zhou, Lei

doi:10.1097/cm9.0000000000001724

Cited by 4 publications

(3 citation statements)

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“…Previous studies concluded that loss of skeletal muscle mass or thickness changes are associated with poor prognosis and disease severity in COPD. [26][27][28][29] There is no doubt that the mechanisms by which the condition of the pectoralis major contributes to COPD PR will be revealed in the future.…”

Section: Discussionmentioning

confidence: 99%

Remotely monitored Baduanjin exercise in moderate-to-severe chronic obstructive pulmonary disease patients (BROCADE): A study protocol

Yin

Chen

et al. 2022

Medicine

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Background: Baduanjin is a traditional Chinese exercise regimen used to treat various chronic illnesses and is associated with both psychological and physical benefits. However, its benefits for patients suffering from chronic obstructive pulmonary disease (COPD) are unclear. This study aims to assess the efficacy, safety, and underlying mechanisms of Baduanjin exercise in patients with moderate-to-severe COPD (BROCADE) by remote monitoring. Methods: This study protocol describes a multicenter, open-label, prospective randomized computed tomography. A total of 150 individuals who meet the inclusion criteria after the screening and consent processes will take part in the study. All participants will be provided routine medication and lifestyle interventions. They will be randomly assigned to a control group, a classical pulmonary rehabilitation group, or a Baduanjin group, which will undergo remotely monitored Baduanjin exercises for a cumulative duration of 1 hour per day, three times per week for 12 weeks. The participants will be followed for 24 weeks. The primary outcomes will be a 6-minutes walking distance and St. George’s Respiratory Questionnaire index. The secondary outcomes will be lung function, cross-sectional area of the pectoralis major and subcutaneous fat, modified Medical Research Council score, COPD assessment test questionnaire results, extremity muscle strength, and quality of life. Any adverse events that may occur will be monitored and recorded. Results: This study is ongoing and will be submitted to a peer-reviewed journal for publication once completed. Conclusion: A novel neutrophil-related inflammatory mechanism will potentially be identified. In addition, the study results will provide a safe, effective, simple and operational Baduanjin exercise protocol for moderate-to-severe COPD patients aimed at improving prognosis and quality of life.

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Section: Discussionmentioning

confidence: 99%

Remotely monitored Baduanjin exercise in moderate-to-severe chronic obstructive pulmonary disease patients (BROCADE): A study protocol

Yin

Chen

et al. 2022

Medicine

Self Cite

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“…It was also found that there is evidence of mucus hypersecretion in many cases. CT imaging showed that a slight airway loss is an early feature of COPD that might progress to severe airway obstruction [3]. COPD is also linked to chronic inflammation that impacts peripheral airways and lung parenchyma.…”

Section: Introductionmentioning

confidence: 99%

“…COPD is also linked to chronic inflammation that impacts peripheral airways and lung parenchyma. [3].…”

Section: Introductionmentioning

confidence: 99%

An Effective Random Generalised Linear Model to Predict COPD

Saraireh¹,

Sharif²,

Alsallal

2022

2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

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Chronic obstructive pulmonary disease (COPD) is a type of chronic lung illness that worsens with time and leads to a restriction in the outflow of air from the lungs. According to the World Health Organisation, The World Health Organization ranks COPD as the third leading cause of death. Clinically, the diagnosis of this disease is relatively difficult; therefore, early identification of individuals at risk of developing COPD is vital for implementing preventative strategies. This research work has developed a generalised linear model (GLM) to predict the COPD status of the patients. A dataset of 1262 patients (688 COPD cases and 574 controls) was used. Exploratory data analysis (EDA) was utilised to observe how potential covariates were related to the response variable (COPD status). By employing rigorous model selection techniques (forward selection and backwards elimination) according to (AIC) which stand from Akaike information criterion and (BIC) which stand from Bayesian information criterion (BIC), a consensus was reached that the most suitable model is a binomial logistic regression model which includes the smoking history, gender, and age. The model was validated using an independent test set with an accuracy of 73%. Such a model, once fully validated, has the ability for predicting the risk of developing COPD in patients with existing lung conditions, including but not limited to, asthma.

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