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  • 1
    Online Resource
    Online Resource
    European Respiratory Society (ERS) ; 2023
    In:  European Respiratory Journal Vol. 62, No. 3 ( 2023-09), p. 2300806-
    In: European Respiratory Journal, European Respiratory Society (ERS), Vol. 62, No. 3 ( 2023-09), p. 2300806-
    Abstract: The lifetime risk of developing clinical COPD among smokers ranges from 13% to 22%. Identifying at-risk individuals who will develop overt disease in a reasonable timeframe may allow for early intervention. We hypothesised that readily available clinical and physiological variables could help identify ever-smokers at higher risk of developing chronic airflow limitation (CAL). Methods Among 2273 Lovelace Smokers’ Cohort (LSC) participants, we included 677 (mean age 54 years) with normal spirometry at baseline and a minimum of three spirometries, each 1 year apart. Repeated spirometric measurements were used to determine incident CAL. Using logistic regression, demographics, anthropometrics, smoking history, modified Medical Research Council dyspnoea scale, St George's Respiratory Questionnaire, comorbidities and spirometry, we related variables obtained at baseline to incident CAL as defined by the Global Initiative for Chronic Obstructive Lung Disease and lower limit of normal criteria. The predictive model derived from the LSC was validated in subjects from the COPDGene study. Results Over 6.3 years, the incidence of CAL was 26 cases per 1000 person-years. The strongest independent predictors were forced expiratory volume in 1 s (FEV 1 )/forced vital capacity (FVC) 〈 0.75, having smoked ≥30 pack-years, body mass index (BMI) ≤25 kg·m 2 and symptoms of chronic bronchitis. Having all four predictors increased the risk of developing CAL over 6 years to 85% (area under the receiver operating characteristic curve (AUC ROC) 0.84, 95% CI 0.81–0.89). The prediction model showed similar results when applied to subjects in the COPDGene study with a follow-up period of 10 years (AUC ROC 0.77, 95% CI 0.72–0.81). Conclusion In middle-aged ever-smokers, a simple predictive model with FEV 1 /FVC, smoking history, BMI and chronic bronchitis helps identify subjects at high risk of developing CAL.
    Type of Medium: Online Resource
    ISSN: 0903-1936 , 1399-3003
    Language: English
    Publisher: European Respiratory Society (ERS)
    Publication Date: 2023
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    detail.hit.zdb_id: 1499101-9
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  • 2
    In: European Respiratory Journal, European Respiratory Society (ERS), Vol. 50, No. 5 ( 2017-11), p. 1701162-
    Abstract: The impact of blood eosinophilia in chronic obstructive pulmonary disease (COPD) remains controversial. To evaluate the prevalence and stability of a high level of blood eosinophils (≥300 cells·μL –1 ) and its relationship to outcomes, we determined blood eosinophils at baseline and over 2 years in 424 COPD patients (forced expiratory volume in 1 s (FEV 1 ) 60% predicted) and 67 smokers without COPD from the CHAIN cohort, and in 308 COPD patients (FEV 1 60% predicted) in the BODE cohort. We related eosinophil levels to exacerbations and survival using Cox hazard analysis. In COPD patients, 15.8% in the CHAIN cohort and 12.3% in the BODE cohort had persistently elevated blood eosinophils at all three visits. A significant proportion (43.8%) of patients had counts that oscillated above and below the cut-off points, while the rest had persistent eosinophil levels 〈 300 cells·μL –1 . A similar eosinophil blood pattern was observed in controls. Exacerbation rates did not differ in patients with and without eosinophilia. All-cause mortality was lower in patients with high eosinophils compared with those with values 〈 300 cells·μL –1 (15.8% versus 33.7%; p=0.026). In patients with COPD, blood eosinophils ≥300 cells·μL –1 persisting over 2 years was not a risk factor for COPD exacerbations. High eosinophil count was associated with better survival.
    Type of Medium: Online Resource
    ISSN: 0903-1936 , 1399-3003
    Language: English
    Publisher: European Respiratory Society (ERS)
    Publication Date: 2017
    detail.hit.zdb_id: 2834928-3
    detail.hit.zdb_id: 1499101-9
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  • 3
    In: European Respiratory Journal, European Respiratory Society (ERS), Vol. 51, No. 2 ( 2018-02), p. 1702146-
    Abstract: We tested whether emphysema progression accompanies enhanced tissue loss in other body compartments in 1817 patients from the ECLIPSE chronic obstructive pulmonary disease (COPD) cohort. Clinical and selected systemic biomarker measurements were compared in subjects grouped by quantitative tomography scan emphysema quartiles using the percentage of low attenuation area (LAA%). Lowest and highest quartile patients had amino-acid metabolomic profiles. We related LAA% to 3 years decline in lung function (forced expiratory volume in 1 s (FEV 1 )), body mass index (BMI), fat-free mass index (FFMI) and exacerbations, hospitalisations and mortality rates. Participants with more baseline emphysema had lower FEV 1 , BMI and FFMI, worse functional capacity, and less cardiovascular disease but more osteoporosis. Systemic C-reactive protein and interleukin-6 levels were similar among groups, but club cell protein 16 was higher and interleukin-8, surfactant protein D and soluble receptor for advanced glycation end product were lower with more emphysema. Metabolomics differed between extreme emphysema quartiles. Patients with more emphysema had accelerated FEV 1 , BMI and FFMI decline and more exacerbations, hospitalisations and mortality. COPD patients with more emphysema undergo excessive loss of pulmonary and extrapulmonary tissue, which is probably related to abnormal tissue maintenance. Because of worse clinical outcomes, we propose this subgroup be named the multi-organ loss of tissue (MOLT) COPD phenotype.
    Type of Medium: Online Resource
    ISSN: 0903-1936 , 1399-3003
    Language: English
    Publisher: European Respiratory Society (ERS)
    Publication Date: 2018
    detail.hit.zdb_id: 2834928-3
    detail.hit.zdb_id: 1499101-9
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  • 4
    In: European Respiratory Journal, European Respiratory Society (ERS), Vol. 45, No. 6 ( 2015-06), p. 1544-1556
    Abstract: Club cell secretory protein-16 (CC16) is the major secreted product of airway club cells, but its role in the pathogenesis of chronic obstructive pulmonary disease (COPD) is unclear. We measured CC16 airway expression in humans with and without COPD and CC16 function in a cigarette smoke (CS)-induced COPD murine model. Airway CC16 expression was measured in COPD patients, smokers without COPD and non-smokers. We exposed wildtype (WT) and CC16 −/− mice to CS or air for up to 6 months, and measured airway CC16 expression, pulmonary inflammation, alveolar septal cell apoptosis, airspace enlargement, airway mucin 5AC (MUC5AC) expression, small airway remodelling and pulmonary function. Smokers and COPD patients had reduced airway CC16 immunostaining that decreased with increasing COPD severity. Exposing mice to CS reduced airway CC16 expression. CC16 −/− mice had greater CS-induced emphysema, airway remodelling, pulmonary inflammation, alveolar cell apoptosis, airway MUC5AC expression, and more compliant lungs than WT mice. These changes were associated with increased nuclear factor-κB (NF-κB) activation in CC16 −/− lungs. CS-induced acute pulmonary changes were reversed by adenoviral-mediated over-expression of CC16. CC16 protects lungs from CS-induced injury by reducing lung NF-κB activation. CS-induced airway CC16 deficiency increases CS-induced pulmonary inflammation and injury and likely contributes to the pathogenesis of COPD.
    Type of Medium: Online Resource
    ISSN: 0903-1936 , 1399-3003
    Language: English
    Publisher: European Respiratory Society (ERS)
    Publication Date: 2015
    detail.hit.zdb_id: 2834928-3
    detail.hit.zdb_id: 1499101-9
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  • 5
    In: ERJ Open Research, European Respiratory Society (ERS), Vol. 6, No. 3 ( 2020-07), p. 00122-2020-
    Abstract: Chronic obstructive pulmonary disease (COPD) comprises distinct phenotypes, all characterised by airflow limitation. Objectives We hypothesised that somatotype changes – as a surrogate of adiposity – from early adulthood follow different trajectories to reach distinct phenotypes. Methods Using the validated Stunkard's Pictogram, 356 COPD patients chose the somatotype that best reflects their current body build and those at ages 18, 30, 40 and 50 years. An unbiased group-based trajectory modelling was used to determine somatotype trajectories. We then compared the current COPD-related clinical and phenotypic characteristics of subjects belonging to each trajectory. Measurements and main results At 18 years of age, 88% of the participants described having a lean or medium somatotype (estimated body mass index (BMI) between 19 and 23 kg·m −2 ) while the other 12% a heavier somatotype (estimated BMI between 25 and 27 kg·m −2 ). From age 18 onwards, five distinct trajectories were observed. Four of them demonstrating a continuous increase in adiposity throughout adulthood with the exception of one, where the initial increase was followed by loss of adiposity after age 40. Patients with this trajectory were primarily females with low BMI and D LCO (diffusing capacity of the lung for carbon monoxide). A persistently lean trajectory was seen in 14% of the cohort. This group had significantly lower forced expiratory volume in 1 s (FEV 1 ), D LCO , more emphysema and a worse BODE (BMI, airflow obstruction, dyspnoea and exercise capacity) score thus resembling the multiple organ loss of tissue (MOLT) phenotype. Conclusions COPD patients have distinct somatotype trajectories throughout adulthood. Those with the MOLT phenotype maintain a lean trajectory throughout life. Smoking subjects with this lean phenotype in early adulthood deserve particular attention as they seem to develop more severe COPD.
    Type of Medium: Online Resource
    ISSN: 2312-0541
    Language: English
    Publisher: European Respiratory Society (ERS)
    Publication Date: 2020
    detail.hit.zdb_id: 2827830-6
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  • 6
    In: European Respiratory Journal, European Respiratory Society (ERS), Vol. 46, No. 3 ( 2015-09), p. 640-650
    Abstract: Multimorbidity frequently affects the ageing population and their co-existence may not occur at random. Understanding their interactions and that with clinical variables could be important for disease screening and management. In a cohort of 1969 chronic obstructive pulmonary disease (COPD) patients and 316 non-COPD controls, we applied a network-based analysis to explore the associations between multiple comorbidities. Clinical characteristics (age, degree of obstruction, walking, dyspnoea, body mass index) and 79 comorbidities were identified and their interrelationships quantified. Using network visualisation software, we represented each clinical variable and comorbidity as a node with linkages representing statistically significant associations. The resulting COPD comorbidity network had 428, 357 or 265 linkages depending on the statistical threshold used (p≤0.01, p≤0.001 or p≤0.0001). There were more nodes and links in COPD compared with controls after adjusting for age, sex and number of subjects. In COPD, a subset of nodes had a larger number of linkages representing hubs. Four sub-networks or modules were identified using an inter-linkage affinity algorithm and their display provided meaningful interactions not discernible by univariate analysis. COPD patients are affected by larger number of multiple interlinked morbidities which clustering pattern may suggest common pathobiological processes or be utilised for screening and/or therapeutic interventions.
    Type of Medium: Online Resource
    ISSN: 0903-1936 , 1399-3003
    Language: English
    Publisher: European Respiratory Society (ERS)
    Publication Date: 2015
    detail.hit.zdb_id: 2834928-3
    detail.hit.zdb_id: 1499101-9
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