scholarly journals The Influence of Smoking Status on Exhaled Breath Profiles in Asthma and COPD Patients

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1357
Author(s):  
Stefania Principe ◽  
Job J.M.H. van Bragt ◽  
Cristina Longo ◽  
Rianne de Vries ◽  
Peter J. Sterk ◽  
...  
Keyword(s):  
Smoking Status ◽  
Characteristic Curve ◽  
Cigarette Consumption ◽  
Chronic Obstructive ◽  
Exhaled Breath ◽  
Healthy Controls ◽  
Cross Sectional ◽  
Linear Discriminant ◽  
Copd Patients ◽  
Never Smokers

Breath analysis using eNose technology can be used to discriminate between asthma and COPD patients, but it remains unclear whether results are influenced by smoking status. We aim to study whether eNose can discriminate between ever- vs. never-smokers and smoking <24 vs. >24 h before the exhaled breath, and if smoking can be considered a confounder that influences eNose results. We performed a cross-sectional analysis in adults with asthma or chronic obstructive pulmonary disease (COPD), and healthy controls. Ever-smokers were defined as patients with current or past smoking habits. eNose measurements were performed by using the SpiroNose. The principal component (PC) described the eNose signals, and linear discriminant analysis determined if PCs classified ever-smokers vs. never-smokers and smoking <24 vs. >24 h. The area under the receiver–operator characteristic curve (AUC) assessed the accuracy of the models. We selected 593 ever-smokers (167 smoked <24 h before measurement) and 303 never-smokers and measured the exhaled breath profiles of discriminated ever- and never-smokers (AUC: 0.74; 95% CI: 0.66–0.81), and no cigarette consumption <24h (AUC 0.54, 95% CI: 0.43–0.65). In healthy controls, the eNose did not discriminate between ever or never-smokers (AUC 0.54; 95% CI: 0.49–0.60) and recent cigarette consumption (AUC 0.60; 95% CI: 0.50–0.69). The eNose could distinguish between ever and never-smokers in asthma and COPD patients, but not recent smokers. Recent smoking is not a confounding factor of eNose breath profiles.

scholarly journals Clinical and inflammatory phenotyping by breathomics in chronic airway diseases irrespective of the diagnostic label

2018 ◽  
Vol 51 (1) ◽  
pp. 1701817 ◽  
Author(s):  
Rianne de Vries ◽  
Yennece W.F. Dagelet ◽  
Pien Spoor ◽  
Erik Snoey ◽  
Patrick M.C. Jak ◽  
...  
Keyword(s):  
Principal Component ◽  
Chronic Obstructive ◽  
Exhaled Breath ◽  
Dependent Manner ◽  
Cross Sectional ◽  
Exacerbation Rate ◽  
Copd Patients ◽  
Validation Set ◽  
Inflammatory Phenotypes ◽  
Chronic Airway

Asthma and chronic obstructive pulmonary disease (COPD) are complex and overlapping diseases that include inflammatory phenotypes. Novel anti-eosinophilic/anti-neutrophilic strategies demand rapid inflammatory phenotyping, which might be accessible from exhaled breath.Our objective was to capture clinical/inflammatory phenotypes in patients with chronic airway disease using an electronic nose (eNose) in a training and validation set.This was a multicentre cross-sectional study in which exhaled breath from asthma and COPD patients (n=435; training n=321 and validation n=114) was analysed using eNose technology. Data analysis involved signal processing and statistics based on principal component analysis followed by unsupervised cluster analysis and supervised linear regression.Clustering based on eNose resulted in five significant combined asthma and COPD clusters that differed regarding ethnicity (p=0.01), systemic eosinophilia (p=0.02) and neutrophilia (p=0.03), body mass index (p=0.04), exhaled nitric oxide fraction (p<0.01), atopy (p<0.01) and exacerbation rate (p<0.01). Significant regression models were found for the prediction of eosinophilic (R2=0.581) and neutrophilic (R2=0.409) blood counts based on eNose. Similar clusters and regression results were obtained in the validation set.Phenotyping a combined sample of asthma and COPD patients using eNose provides validated clusters that are not determined by diagnosis, but rather by clinical/inflammatory characteristics. eNose identified systemic neutrophilia and/or eosinophilia in a dose-dependent manner.

scholarly journals Sarcopenia in COPD: relationship with COPD severity and prognosis

2015 ◽  
Vol 41 (5) ◽  
pp. 415-421 ◽  
Author(s):  
Tatiana Munhoz da Rocha Lemos Costa ◽  
Fabio Marcelo Costa ◽  
Carolina Aguiar Moreira ◽  
Leda Maria Rabelo ◽  
César Luiz Boguszewski ◽  
...  
Keyword(s):  
Lean Mass ◽  
Smoking Status ◽  
Airflow Obstruction ◽  
Chronic Obstructive Lung Disease ◽  
The Body ◽  
Chronic Obstructive ◽  
Cross Sectional ◽  
Skeletal Muscle Index ◽  
Gold Stage ◽  
Copd Patients

Objective: To evaluate the prevalence of sarcopenia in COPD patients, as well as to determine whether sarcopenia correlates with the severity and prognosis of COPD. Methods: A cross-sectional study with COPD patients followed at the pulmonary outpatient clinic of our institution. The patients underwent dual-energy X-ray absorptiometry. The diagnosis of sarcopenia was made on the basis of the skeletal muscle index, defined as appendicular lean mass/height2 only for low-weight subjects and adjusted for fat mass in normal/overweight subjects. Disease severity (COPD stage) was evaluated with the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. The degree of obstruction and prognosis were determined by the Body mass index, airflow Obstruction, Dyspnea, and Exercise capacity (BODE) index. Results: We recruited 91 patients (50 females), with a mean age of 67.4 ± 8.7 years and a mean BMI of 25.8 ± 6.1 kg/m2. Sarcopenia was observed in 36 (39.6%) of the patients, with no differences related to gender, age, or smoking status. Sarcopenia was not associated with the GOLD stage or with FEV1 (used as an indicator of the degree of obstruction). The BMI, percentage of body fat, and total lean mass were lower in the patients with sarcopenia than in those without (p < 0.001). Sarcopenia was more prevalent among the patients in BODE quartile 3 or 4 than among those in BODE quartile 1 or 2 (p = 0.009). The multivariate analysis showed that the BODE quartile was significantly associated with sarcopenia, regardless of age, gender, smoking status, and GOLD stage. Conclusions: In COPD patients, sarcopenia appears to be associated with unfavorable changes in body composition and with a poor prognosis.

Low levels of nitric oxide and carbon monoxide in α1-antitrypsin deficiency

2002 ◽  
Vol 93 (6) ◽  
pp. 2038-2043 ◽  
Author(s):  
Roberto F. Machado ◽  
James K. Stoller ◽  
Daniel Laskowski ◽  
Shuo Zheng ◽  
Joseph A. Lupica ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Carbon Monoxide ◽  
Chronic Obstructive ◽  
Exhaled Breath ◽  
Healthy Controls ◽  
Obstructive Pulmonary Disease ◽  
Copd Patients ◽  
Antitrypsin Deficiency ◽  
At Deficiency ◽  
Noninvasive Markers

Quantitations of exhaled nitric oxide (NO) and carbon monoxide (CO) have been proposed as noninvasive markers of airway inflammation. We hypothesized that exhaled CO is increased in individuals with α1-antitrypsin (AT) deficiency, who have lung inflammation and injury related to oxidative and proteolytic processes. Nineteen individuals with α1-AT deficiency, 22 healthy controls, and 12 patients with non-α1-AT-deficient chronic obstructive pulmonary disease (COPD) had NO, CO, CO2, and O2 measured in exhaled breath. Individuals with α1-AT deficiency had lower levels of NO and CO than control or COPD individuals. α1-AT-deficient and COPD patients had lower exhaled CO2 than controls, although only α1-AT-deficient patients had higher exhaled O2 than healthy controls. NO was correlated inversely with exhaled O2 and directly with exhaled CO2, supporting a role for NO in regulation of gas exchange. Exhaled gases were not significantly related to corticosteroid use or lung function. Demonstration of lower than normal CO and NO levels may be useful as an additional noninvasive method to evaluate α1-AT deficiency in individuals with a severe, early onset of obstructive lung disease.

scholarly journals Non-invasive detection of silicosis based on array sensing and pattern recognition

2021 ◽  
Vol 271 ◽  
pp. 03030
Author(s):  
Wufan Xuan ◽  
Zhen Han ◽  
Lina Zheng
Keyword(s):  
Pattern Recognition ◽  
Sensor Array ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Gradient Boosting ◽  
Exhaled Breath ◽  
Cross Sectional ◽  
Linear Discriminant ◽  
Extreme Gradient Boosting ◽  
Fibrotic Lung Disease

Silicosis is a fibrotic lung disease caused by inhalation of silica dusts, early and accurate diagnosis of which remains a challenge. We aimed to assess the performance of a nanofiber sensor array and pattern recognition to promptly and noninvasively detect silicosis. A total of 210 silicosis cases and 430 non-silicosis controls were enrolled in a cross-sectional study. Exhaled breath was analysed by a portable analytical system incorporating an array of 16x organic nanofiber sensors. Models were established by Deep Neural Network and eXtreme Gradient Boosting. Linear Discriminant Analysis was used for dimensionality reduction and visualized data analysis. Receiver Operating Characteristic Curve, accuracy, sensitivity and specificity were used to evaluate models. Results: 99.3% AUC, 96.0% accuracy, 94.1% sensitivity, and 96.3% specificity were achieved in test set. Silicosis cases present different breath patterns from healthy controls, classification results using which were highly consistent with the experts’ diagnosis. Breath analysis performed with the sensor array and pattern recognition is expected to provide a quick, stable recognition for silicosis. In this paper, different forms of features, different algorithms and data sets over long time periods were used, which provides a reference for silicosis expiratory diagnosis scheme.

scholarly journals The Association of Socio-Economic Factors, and Smoking Behavior With COPD Severity in an Industrial City of Iran

2021 ◽  
Author(s):  
Mohammadali Zohal ◽  
Sima Rafiei ◽  
Neda Esmailzadehha ◽  
Sanaz Jamshidi ◽  
Nafiseh Rastgoo
Keyword(s):  
Smoking Status ◽  
Care Center ◽  
Smoking Behavior ◽  
Chronic Obstructive Lung Disease ◽  
Respiratory Function Tests ◽  
Chronic Obstructive ◽  
Cross Sectional ◽  
Factors Associated ◽  
Copd Patients ◽  
Wide Range

Socioeconomic and lifestyle factors are regarded as important influencing issues regarding a wide range of chronic diseases, including chronic obstructive pulmonary disease. This study aimed to explore the role of such factors as determinants of disease exacerbation among COPD patients. A cross-sectional study was conducted among 150 COPD patients who were referred to an outpatient respiratory care center in Qazvin, Iran, to undertake respiratory function tests from December 2017 to June 2018. Disease severity was determined by the Initiative for Chronic Obstructive Lung Disease (GOLD) index. Odds ratios were applied to find out factors associated with exacerbation. Study findings affirmed that within COPD severity groups, there were significant differences among patients in terms of educational level, smoking status, income, and occupation. Factors associated with severe COPD were found to be smoking (OR 3.6, 2.6-4.2), lower education (OR 1.4, 0.9-2.6), insufficient income (OR 2.3, 0.6-3.1), and unsupportive family (2.7, 1.5-3.6). Due to the obtained evidence about the effect of socioeconomic status on the prognosis of the disease, it is suggested that clinicians should also consider the nonclinical and social aspects associated with the disease in advancing patients' therapeutic procedures and management algorithms.

scholarly journals Correlation of serum uric acid with severity of airflow limitation in the patients of chronic obstructive pulmonary disease

2020 ◽  
Vol 7 (4) ◽  
pp. 634
Author(s):  
Sujit Kumar ◽  
Vimal Kumar Nishad ◽  
Amitabh Das Shukla ◽  
Santosh Kumar Chaudhary
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Cross Sectional Study ◽  
Airflow Limitation ◽  
Chronic Obstructive ◽  
Healthy Controls ◽  
Cross Sectional ◽  
Obstructive Pulmonary Disease ◽  
Copd Patients ◽  
Exacerbation Risk

Background: Serum uric acid (sUA) levels were previously found to be correlated with hypoxic states. We aimed to determine the levels of sUA in COPD patients and to evaluate whether sUA level can be used as predictors of exacerbation risk and disease severity.Methods: This cross-sectional study included COPD patients and healthy controls. The sUA levels in each group were evaluated and their correlations with the study parameters were investigated. ROC analyses for exacerbation risk were reported.Results: The study included 106 COPD patients and 110 healthy controls. The mean sUA levels were significantly higher in patients with COPD compared to healthy controls (p<0.05). Mean sUA levels were compared with different stages of COPD according to GOLD criteria. Stage 4 COPD subjects had highest sUA levels compared to other stages. Statistically significant trend was observed for GOLD staging of disease (p<0.05). Surprisingly non-smokers were having higher uric acid level than smokers (p<0.05). The ROC analyses indicated that sUA levels can be useful in predicting exacerbation risk (AUC, 0.412) especially at higher cut-off values, but with low specificity.Conclusions: Study suggested that sUA levels increased in patients with COPD compared to healthy controls. At higher cut-off values sUA levels might be useful in predicting COPD exacerbation risk and disease severity. However, more prospective cohort studies with large number of participants are needed to further analyse the possible different prognostic roles of hyperuricemia.

scholarly journals Daily Activity Related Quality of Life in Chronic Obstructive Pulmonary Disease in Adults

2019 ◽  
Vol 3 (1) ◽  
pp. 10-23
Author(s):  
Ruhamah Yousaf ◽  
Muhammad Arif ◽  
Qudrat Ullah ◽  
Saima Rafique ◽  
Asif Hanif ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Disease ◽  
Daily Activity ◽  
Smoking Status ◽  
Chronic Obstructive ◽  
Cross Sectional ◽  
Obstructive Pulmonary Disease ◽  
Copd Patients

Abstract: Background: The significant reason for anguish as well as incapacity is chronic obstructive pulmonary disease (COPD). Activities of daily living might be relentlessly curbed among patients with COPD and appraisal needs evaluation regarding influence of infirmity and detriments on day-to-day living. The primary objective was to know the daily activity associated quality of life in COPD adults. The secondary objective was to analyze demographical profile, such as gender and age of COPD subjects as well as evaluate the physical activity related breathlessness in COPD patients. Methodology: This study was executed at Gulab Devi Chest Hospital. We used cross sectional study design to collect the data. For collecting the statistics of 150 subjects aged 40-60 years of either gender Saint George’s Questionnaire was liable. It included the patient’s biodata, effect of COPD on physical activities and limitations in routine work. Results: The ages of 150 COPD patients selected were between 40 and 60 years. Patients were classified into two categories on the basis of disease severity according to GOLD criteria 71 (47.3%) were with moderate severity and 79 (52.7%) were with severe severity. 113 (75.3%) patients were smokers while 37 (24.7%) patients were non-smokers. 110 (73.3%) COPD patients were active smokers in comparison 40 (26.7%) COPD patients were passive smokers. COPD patients with current smoking status were 79 (52.7%) and with past smoking status were 71 (47.3%). 19 (12.7%) COPD patients felt breathlessness while sitting and lying. 53(35.3%) COPD patients felt breathless while getting washed or dressed. 85(56.7%) COPD patients felt breathless while walking around the home. 114 (96%) COPD patients discerned breathlessness while walking up a flight of stairs. 145 (96.7%) COPD patients had breathlessness while playing sports or games. 146 (97.3%) COPD patients experienced difficulty in breathing during activities like carrying load. 88 (58.7%) COPD patients discerned breathlessness during entertainment or recreation. 88 (58.7%) COPD patients discerned breathlessness during entertainment or recreation. 7 (4.7%) COPD patients felt breathlessness while moving from bed or chair. Conclusion: As with the progression of COPD impairment in activities become worse due to breathlessness causing decline in patient’s ability making them unable to complete their task to fulfill the needs of life and ultimately become bed bound due to shortness of breath.

scholarly journals Systemic inflammation in COPD in relation to smoking status

2019 ◽  
Vol 6 ◽  
Author(s):  
Danielius Serapinas ◽  
Andrius Narbekovas ◽  
Jonas Juskevicius ◽  
Raimundas Sakalauskas
Keyword(s):  
Tumor Necrosis Factor ◽  
Systemic Inflammation ◽  
Tumor Necrosis ◽  
Smoking Status ◽  
Tumor Necrosis Factor Receptor ◽  
Chronic Obstructive ◽  
Copd Patients ◽  
Never Smokers ◽  
The Impact ◽  
Necrosis Factor

Background and aims: Smoking is the main risk factor for the development of chronic obstructive pulmonary disease (COPD) that has been recently defined as a systemic pul- monary inflammatory disease. However, the impact of smok- ing itself on systemic inflammation in COPD patients has not yet been well established. The aim of our study was to inves- tigate the association between inflammatory markers and smoking status. Material and methods: We compared 202 current smokers, 61 ex-smokers and 57 never-smokers, all COPD patients. Assessments included medical history, spirometry, alpha-1 antitrypsin (AAT) genotyping, serum AAT, C-reactive protein (CRP), tumor necrosis factor (TNF)-α, and soluble tumor necrosis factor receptor (sTNFR)-1 and sTNFR-2 concentra- tions. Results: AAT and CRP concentrations in smokers (1.75 ± 0.51 g/L and 14.4 [9.5–20.5] mg/L) and ex-smokers (1.69 ± 0.43 g/L and 12.3 [8.7–16.3] mg/L) were higher than in never-smokers (1.49 ± 0.38 g/L and 5.1 [2.5–8.7] mg/L; p < 0.05). sTNFR-1 level was higher in smokers than ex-smokers or never-smok- ers (241.2 pg/mL [145.3–349.4] vs. 213.7 pg/mL [147.1– 280.3] and 205.2 pg/mL [125–275]; p < 0.05). Conclusions: Our data confirm that smoking is associated with increased levels of AAT, CRP, and sTNFR-1 in COPD patients, an array of systemic inflammation markers that continue to be active even after smoking cessation.

scholarly journals COPD, metabolic syndrome, respiratory symptoms, and functional incapacity in smokers, ex-smokers, and never-smokers aged 40-59 in Almaty, Kazakhstan: a cross-sectional study

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 688
Author(s):  
Baurzhan Zhussupov ◽  
Almaz Sharman ◽  
Dana Sharman
Keyword(s):  
Metabolic Syndrome ◽  
Respiratory Symptoms ◽  
Smoking Status ◽  
Smoking Behavior ◽  
Cross Sectional Study ◽  
Chronic Obstructive ◽  
Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Never Smokers

Background: No study has reported the relationship between smoking status with chronic obstructive pulmonary diseases (COPD) and metabolic syndrome (MetS) in Kazakhstan. The aim of this study was to assess the associations between health outcomes, including COPD, MetS, respiratory symptoms, and functional incapacity, with the cigarette smoking status. Methods: The cross-sectional study recruited 500 smokers, 200 ex-smokers, and 200 never-smokers aged 40-59 in Almaty, Kazakhstan. Questions assessed socio-demographic, clinical characteristics, and smoking behavior. Blood glucose and lipid profiles were determined after overnight fasting. COPD was defined according to the GOLD 2017 statement. Respiratory symptoms and functional incapacity were assessed by the COPD Assessment Test (CAT) and 6-min walk test (6MWT), respectively. Logistic regression models were used to assess the associations. Results: The prevalence of COPD among smokers, ex-smokers and never-smokers were 5.5%, 3.0% and 3.0%, respectively. Respiratory symptoms based on CAT were more prevalent among smokers (42.8%) as compared to ex-smokers (42.8% vs 17.0%; aOR 3.43, 95% CI 2.25–5.23) and never-smokers (42.8% vs 12.5%; aOR 5.44, 95% CI 3.42–8.65). Current smokers were more likely to walk less than 450 meters during 6MWT as compared to never-smokers (16.5% vs 5.0%; aOR 3.72, 95% CI 1.86–7.44). No significant association was found between the smoking status with COPD and MetS.  Conclusions: Respiratory symptoms are common among the current smokers, even if most of them had preserved pulmonary function defined by spirometry.

scholarly journals The Prevalence of Diabetes Mellitus in COPD Patients with Severe and Very Severe Stage of the Disease

2016 ◽  
Vol 4 (2) ◽  
pp. 253-258 ◽  
Author(s):  
Jagoda Stojkovikj ◽  
Beti Zafirova-Ivanovska ◽  
Biserka Kaeva ◽  
Sasha Anastasova ◽  
Irena Angelovska ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Smoking Status ◽  
Severe Disease ◽  
Chronic Obstructive ◽  
Cross Sectional ◽  
Severe Stage ◽  
Copd Patients ◽  
Severe Group ◽  
Prevalence Of Diabetes Mellitus ◽  
Severe Copd

AIM: The aim of the study was to investigate the prevalence of diabetes mellitus in privies diagnosed chronic obstructive pulmonary disease (COPD) patients with severe and very severe disease, which ware stable.METHODS: We investigated 100 subjects, all of them smokers, with smoking status >10 years. They were stratified in two groups. It was clinical, randomized, cross sectional study. Besides demographic parameters, functional parameters, BMI, cholesterol, LDL and HDL, and the level of blood sugar was measured. RESULTS: The prevalence of diabetes mellitus in our survey in total number of COPD patients with severe and very severe stage was 21%. In the very severe group were recorded significantly higher average values of glycaemia compared with severe group (7.67 ± 3.7 vs. 5.62 ± 0.9, p = 0.018). In the group with severe COPD, it was not confirmed any factor with significant predictive effect on the values of glycaemia. As independent significant factors that affect blood glucose in a group of very severe COPD were confirmed cholesterol (p <0.0001) and HDL (p = 0.018). CONCLUSION: These results suggest that the presence of the COPD in patients itself is a factor that results in the clinical presentation of diabetes mellitus Type 2.

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