BTS Guidelines for the Management of Chronic Obstructive Pulmonary Disease

doi:10.1136/thx.52.suppl_5.1

Cited by 169 publications

(4 citation statements)

References 19 publications

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“…5,9,22,23 This study investigates the risk factors for AECOPD to help prevent and treat this disease and improve prognosis. The main cause of COPD is smoking, [24][25][26] which is closely related to a decline in lung function. 27 Previous studies have shown that smoking cessation can delay lung function decline and improve survival.…”

Section: Discussionmentioning

confidence: 99%

<p>Risk Factors for Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Industrial Regions of China: A Multicenter Cross-Sectional Study</p>

Dong¹,

Hao²,

Li³

et al. 2020

COPD

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Background: The exacerbation of chronic obstructive pulmonary disease (COPD) seriously affects the patient's quality of life and prognosis. This multicenter cross-sectional study investigated the characteristics of stable COPD and risk factors for acute exacerbation of COPD (AECOPD) in patients in Changchun, Jilin Province, China. Methods: The study included 400 outpatients admitted to four secondary hospitals and four tertiary hospitals in Jilin Province from March 2018 to March 2019. Data on the general condition of stable COPD patients, patient self-management, COPD Assessment Test (CAT) scores, number of acute exacerbations in the past 12 months, and medications received during the study period were collected using a questionnaire. Results: Sociodemographic characteristics and clinical data were obtained from 306 patients, and drug prescription data were obtained from 329 patients. Pearson correlation analysis revealed that CAT scores were positively correlated with the number of acute exacerbations. Age, education level, smoking history, disease duration, number of comorbidities, and the presence of ischemic heart disease (IHD) were associated with AECOPD. Moreover, the level of education, disease duration, and the presence of IHD were independent risk factors for AECOPD. Poor compliance due to the lack of understanding of the disease and the high cost of treatment is a risk factor for AECOPD. In addition, increased air pollution in industrial cities and vitamin D deficiency are closely related to AECOPD. Conclusion: Low education level, long disease duration, and the presence of IHD may promote the exacerbation and poor control of COPD in patients in Jilin Province.

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Section: Discussionmentioning

confidence: 99%

<p>Risk Factors for Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Industrial Regions of China: A Multicenter Cross-Sectional Study</p>

Dong¹,

Hao²,

Li³

et al. 2020

COPD

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“…Schwarz [26] suggested that Equation 8 omits the term O (1); (9) And Bayesian information criterion (BIC) for the number of components g in the mixture model, to be obtained as the smallest in the model selection, with a negative log penalty multiplied by two and written as;…”

Section: (7)mentioning

confidence: 99%

“…In the guidelines of the American Thoracic Society (ATS) published in 1987, it reported that the FEV1/FVC value should be below 75% for the diagnosis of obstructive pulmonary disease [7]. Later, in the guideline published by the British Thoracic Society (BTS) in 1997, it was proposed to use 70% as the upper limit of the FEV1/FVC value for the diagnosis of obstructive pulmonary disease [9]. In a study investigating ways to develop reference ranges on the relationship between spirometric lung function and height and age, the results were modeled in terms of gender, age and height [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Pulmonary Function Test Results By Using Gaussian Mixture Regression Model

Abut

Doğanay²,

Yeşilova

et al. 2021

J CLIN MED KAZ

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Background: FEV1/FVC value is used in the diagnosis of obstructive and restrictive diseases of the lung. It is a parameter reported in the literature that it varies according to lung disease as well as weight, age and gender characteristics.Objective: The aim of this study is to investigate the relationship between age, weight, gender and height characteristics and FEV1/ FVC value using a heterogeneous population using Gaussian mixture regression method.Material and methods: GMR was used to separate the data into components and to make a parameter estimation for each component. The analysis performed on this model revealed that the patients were divided into 5 optimal groups and that these groups showed a regular transition from obstructive pattern to restrictive pattern.Results: The mean values of the components for FEV1/FVC were found as 50.071 (3.238), 67.034 (1.725), 82.156 (1.329), 93.592 (1.041), 98.466 (0.303), respectively. The effect of the weight on the components in terms of parameter estimation and standard errors of the components was determined as 0.445 (0.129)**, 0.226 (0.053)**, 0.173 (0.053)**, -0.036 (0.026), -0.040 (0.018)*, respectively.Conclusion: Direct proportional relationship between the patient's weight and the severity of the obstructive pattern, and between the severity of the disease and the age of the patient in both the obstructive and restrictive pattern are explicitly proved. Furthermore, it has been revealed that data sets containing heterogeneity can be analysed by dividing them into sub-components using the GMR model.

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“…Chronic obstructive pulmonary disease (COPD) is a slow progressive disease characterized by pulmonary malfunction and airway obstruction, with cough, shortness of breath, and sputum production being the most common symptoms [ 1 , 2 ]. COPD comprises two primary forms: chronic bronchitis characterized by a persistent cough with mucus, and emphysema, which involves gradual lung damage over time [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Health-related quality of life and its associated factors in patients with chronic obstructive pulmonary disease

Jarab,

Al-Qerem,

Alzoubi

et al. 2023

PLoS ONE

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Objective The present study aimed to evaluate HRQOL and to explore the factors associated with poor HRQOL among patients with COPD. Methods In the present cross-sectional study, the validated St George’s Respiratory Questionnaire for COPD patients (SGRQ-C) was used to evaluate HRQOL among 702 patients with COPD at two major hospitals in Jordan in the period between January and April 2022. Quantile regression analysis was used to explore the factors associated with HRQOL among the study participants. Results According to SGRQ-C, the HRQOL of the study participants was greatly impaired with a total SGRQ of 55.2 (34–67.8). The highest impairment in the HRQOL was in the impact domain with a median of 58.7 (29–76.3). Increased number of prescribed medications (β = 1.157, P<0.01), older age (β = 0.487, P<0.001), male gender (β = 5.364, P<0.01), low education level (β = 9.313, P<0.001), low and moderate average income (β = 6.440, P<0.05, and β = 6.997, P<0.01, respectively) were associated with poorer HRQOL. On the other hand, being married (β = -17.122, P<0.001), living in rural area (β = -6.994, P<0.01), non-use of steroids inhalers (β = -3.859, P<0.05), not receiving long acting muscarinic antagonists (LAMA) (β = -9.269, P<0.001), not receiving LABA (β = -8.243, P<0.001) and being adherent to the prescribed medications (β = -6.016, P<0.001) were associated with improved HRQOL. Furthermore, lower disease severity (stage A, B, and C) (β = -23.252, -10.389, and -9.696 respectively, P<0.001), and the absence of comorbidities (β = -14.303, P<0.001) were associated with better HRQOL. Conclusions In order to maximize HRQOL in patients with COPD, future COPD management interventions should adopt a multidisciplinary approach involving different healthcare providers, which aims to provide patient-centered care, implement personalized interventions, and improve medication adherence, particularly for patients who are elderly, males, have low socioeconomic status, receive multiple medications and have multiple comorbid diseases.

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BTS Guidelines for the Management of Chronic Obstructive Pulmonary Disease

Cited by 169 publications

References 19 publications

<p>Risk Factors for Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Industrial Regions of China: A Multicenter Cross-Sectional Study</p>

<p>Risk Factors for Acute Exacerbation of Chronic Obstructive Pulmonary Disease in Industrial Regions of China: A Multicenter Cross-Sectional Study</p>

Analysis of Pulmonary Function Test Results By Using Gaussian Mixture Regression Model

Health-related quality of life and its associated factors in patients with chronic obstructive pulmonary disease

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