scholarly journals Subgroup analysis reveals higher reliability of the new comprehensive evaluation of Global Initiative for Chronic Obstructive Lung Disease 2019

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhongshang Dai ◽  
Huihui Zeng ◽  
Yanan Cui ◽  
Ping Chen ◽  
Yan Chen

AbstractTo estimate the severity of the disease in outpatients with chronic obstructive pulmonary disease (COPD) in Hunan Province, China and use the subgroup analysis to evaluate the reliability of the new comprehensive evaluation of Global Initiative for Chronic Obstructive Lung Disease (GOLD). COPD outpatients from 12 medical centers in Hunan Province, China were stratified into groups A–D, and group D patients were further stratified into subgroups D1–D3 according to the GOLD 2016 and 2019 comprehensive assessment. Demography, clinical characteristics and medications were compared among groups. In 1017 COPD outpatients, the distribution from group A to D and subgroup D1 to D3 was 41 (4.0%), 249 (24.5%), 17 (1.7%), 710 (69.8%) and 214 (30.2%), 204 (28.7%), 292 (41.1%), according to GOLD 2016. In terms of demographic and clinical characteristics related to A–D groups, there was a significant difference in COPD assessment test (CAT), modified Medical British Research Council (mMRC), the clinical COPD questionnaire(CCQ), age, BMI, education level, smoking history, comorbidities, the course of chronic bronchitis/emphysema, number of exacerbations/hospitalisations in the previous year, treatment protocols, forced expiratory volume in one second (FEV1) % predicted, and FEV1/forced vital capacity (FVC) (p < 0.01). Furthermore, some patients in groups C–D regrouped to groups A–B were all C1 and D1 subgroups according to GOLD 2019. Comparing subgroup D1 with group B, subgroup D2 and subgroup D3, it was found that the demography, clinical characteristics and medications of subgroup D1 were the closest to group B, according to GOLD 2016 (p < 0.01). The disease severity of outpatients with COPD in Hunan Province was more pronounced in group B and D and patients in groups A–D had different demography, clinical characteristics and medications. Subgroup analysis can explain to a certain extent that GOLD2019’s new comprehensive assessment is more reliable than GOLD 2016.

2021 ◽  
Author(s):  
Zhongshang Dai ◽  
Yan Chen ◽  
Huihui Zeng ◽  
Yanan Cui

Abstract Purpose: To estimate the severity of the disease in outpatients with chronic obstructive pulmonary disease (COPD) in Hunan Province, China and use the subgroup analysis to evaluate the reliability of Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2019.Methods: COPD outpatients from 21 medical centers in Hunan Province, China were stratified into groups A–D, and group D patients were further stratified into subgroups D1–D3 according to the GOLD 2016 comprehensive assessment. Demography, clinical characteristics and medications were compared between groups. Results: In 1,017 COPD outpatients, the distribution from group A to D and subgroup D1 to D3 was 41 (4.0%), 249 (24.5%), 17 (1.7%), 710 (69.8%) and 214 (30.2%), 204 (28.7%), 292 (41.1%), according to GOLD 2016. The clinical characteristics of patients vary from group to group. Some patients in groups C–D regrouped to groups A–B were all C1 and D1 subgroups according to GOLD 2019. Comparing subgroup D1 with group B, group D, subgroup D2 and subgroup D3, it was found that the demography, clinical characteristics and medications of subgroup D1 were the closest to group B, according to GOLD 2016. Conclusion: The disease severity of outpatients with COPD in Hunan Province was more common in group B and D and patients in groups A– D had different demography, clinical characteristics and medications, according to the GOLD 2016. Subgroup analysis can explain to a certain extent that GOLD2019's new comprehensive assessment is more reasonable and reliable than GOLD 2016.


2006 ◽  
Vol 32 (suppl 2) ◽  
pp. S35-S40 ◽  
Author(s):  
Ericson Bagatin ◽  
José Roberto Brito Jardim ◽  
Roberto Stirbulov

A doença pulmonar obstrutiva crônica ocupacional, apesar de ampla discussão há quase meio século, ainda é muito pouco abordada em nosso meio. Diversos estudos, especialmente os de base populacional, revelaram a associação entre as exposições ocupacionais aos aerodispersóides e o comprometimento das vias aéreas. Este capítulo objetiva alertar para o diagnóstico da doença pulmonar obstrutiva crônica de origem ocupacional apresentando uma revisão suscinta sobre o tema que deverá ser incorporado ao projeto Global Initiative for Chronic Obstructive Lung Disease, tanto no seu escopo de fundamentação diagnóstica quanto em seu questionário específico. O detalhamento da história ocupacional e a caracterização da exposição a agentes inalatórios, de reconhecida ação deletéria para o aparelho respiratório, seguramente proporcionarão uma melhor abordagem para o reconhecimento, prognóstico e controle dessa doença.


2020 ◽  
Vol 30 (4) ◽  
pp. 822-827
Author(s):  
Maria T Castañ-Abad ◽  
Josep Montserrat-Capdevila ◽  
Pere Godoy ◽  
Josep R Marsal ◽  
Marta Ortega ◽  
...  

Abstract Background Type 2 diabetes comorbidity is common in patients with COPD. One of the most frequent causes of hospital admission in patients with COPD are exacerbations. Methods Prospective cohort study, which included 512 patients with COPD recruited in a primary care centre in Mollerussa (Lleida, Spain). Inclusion criteria were: patients &gt;40 years of age with COPD according to the Global Initiative for Chronic Obstructive Lung Disease. Variables collected were as follows: age, gender, civil status, education level, smoking habit, severity (Global Initiative for Chronic Obstructive Lung Disease), comorbidities (Charlson), history of severe exacerbations, dyspnoea (mMRC), BODEx, EuroQol 5 D and depression (HAD). Logistic regression was used to determine the association of diabetes with risk of hospital admission and death. Results Prevalence of diabetes was 25.8%. During the second year of follow up, 18.2% of patients with COPD and diabetes were admitted for exacerbation, in comparison with 8.9% non-diabetic COPD patients. The variables associated with hospital admission were diabetes (ORa=1.54); gender (men, ORa=1.93); age (ORa=1.02); number of hospital admissions during the previous year: 1 (ORa=2.83) or more than one admission (ORa=4.08); EuroQol 5 D (ORa=0.76) and BODEx (ORa=1.24). With the exclusion of BODEx, all these variables were associated with a higher risk of death. Conclusion Prevalence of diabetes is high in patients suffering from COPD. COPD patients with diabetes are at higher risk of severe exacerbation and death. The suggested predictive model could identify patients at higher risk so that adequate preventive and therapeutic measures can be implemented.


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