Machine learning slice-wise whole-lung CT emphysema score correlates with airway obstruction.

OBJECTIVES: Quantitative CT imaging is an important emphysema biomarker, especially in smoking cohorts, but does not always correlate to radiologists' visual CT assessments. The objectives were to develop and validate a neural network-based slice-wise whole-lung emphysema score (SWES) for chest CT, to validate SWES on unseen CT data, and to compare SWES with a conventional quantitative CT method. MATERIALS AND METHODS: Separate cohorts were used for algorithm development and validation. For validation, thin-slice CT stacks from 474 participants in the prospective cross-sectional Swedish CArdioPulmonary bioImage Study (SCAPIS) were included, 395 randomly selected and 79 from an emphysema cohort. Spirometry (FEV1/FVC) and radiologists' visual emphysema scores (sum-visual) obtained at inclusion in SCAPIS were used as reference tests. SWES was compared with a commercially available quantitative emphysema scoring method (LAV950) using Pearson's correlation coefficients and receiver operating characteristics (ROC) analysis. RESULTS: SWES correlated more strongly with the visual scores than LAV950 (r = 0.78 vs. r = 0.41, p < 0.001). The area under the ROC curve for the prediction of airway obstruction was larger for SWES than for LAV950 (0.76 vs. 0.61, p = 0.007). SWES correlated more strongly with FEV1/FVC than either LAV950 or sum-visual in the full cohort (r = - 0.69 vs. r = - 0.49/r = - 0.64, p < 0.001/p = 0.007), in the emphysema cohort (r = - 0.77 vs. r = - 0.69/r = - 0.65, p = 0.03/p = 0.002), and in the random sample (r = - 0.39 vs. r = - 0.26/r = - 0.25, p = 0.001/p = 0.007). CONCLUSION: The slice-wise whole-lung emphysema score (SWES) correlates better than LAV950 with radiologists' visual emphysema scores and correlates better with airway obstruction than do LAV950 and radiologists' visual scores. CLINICAL RELEVANCE STATEMENT: The slice-wise whole-lung emphysema score provides quantitative emphysema information for CT imaging that avoids the disadvantages of threshold-based scores and is correlated more strongly with reference tests than LAV950 and reader visual scores. KEY POINTS: • A slice-wise whole-lung emphysema score (SWES) was developed to quantify emphysema in chest CT images. • SWES identified visual emphysema and spirometric airflow limitation significantly better than threshold-based score (LAV950). • SWES improved emphysema quantification in CT images, which is especially useful in large-scale research.

Spirometric Interpretation and Clinical Relevance According to Different Reference Equations.

BACKGROUND: Global Lung Function Initiative (GLI)-2012 reference equation is currently suggested for interpretation of spirometry results and a new local reference equation has been developed in South Korea. However, lung function profiles according to the different reference equations and their clinical relevance have not been identified in chronic obstructive pulmonary disease (COPD) patients. METHODS: Our cross-sectional study evaluated Choi's, Korean National Health and National Examination Survey (KNHANES)-VI, and GLI-2012 reference equations. We estimated the percentages of predictive forced expiratory volume in one second (FEV1) and airflow limitation severity according to reference equations and analyzed their associations with patient reported outcomes (PROs): COPD assessment test (CAT) score, St. George's Respiratory Questionnaire for COPD patients (SGRQ-C) score, and six minute walk distance (6MWD). RESULTS: In the eligible 2,180 COPD patients, lower predicted values of FEV1 and forced vital capacity (FVC) were found in GLI-2012 compared to Choi's and KNHANES-VI equations. GLI-2012 equation resulted in a lower proportion of patients being classified as FEV1 < 80% or FVC < 80% compared to the other equations. However, the Z-scores of FEV1 and FVC were similar between the KNHANES-VI and GLI-2012 equations. Three reference equations exhibited significant associations between FEV1 (%) and patient-reported outcomes (CAT score, SGRQ-C score, and 6MWD). CONCLUSION: GLI-2012 reference equation may not accurately reflect FEV1 (%) in the Korean population, but the Z-score using GLI-2012 equation can be a viable option for assessing FEV1 and airflow limitation in COPD patients. Similar to the other two equations, the GLI-2012 equation demonstrated significant associations with PROs.

Effects of ActiGraph's filter, epoch length and non-wearing time algorithm on step counts in people with COPD.

The influence of the ActiGraph® processing criteria on estimating step counts in chronic obstructive pulmonary disease (COPD) remains uncertain. This study aimed to assess the influence of filters, epoch lengths and non-wearing time (NWT) algorithms on steps/day in people with COPD. ActiGraph GT3X+ was worn on the waist for seven days. Steps were detected using different filters (normal and low-frequency extension [LFE]), epoch lengths (15s and 60s), and NWT algorithms (Choi and Troiano). Linear mixed-effects model was applied to assess the effects of filter, epoch length, NWT algorithm on steps/day. Lin's concordance correlation and Bland-Altman were used to measure agreement. A total of 136 people with COPD (107 male; 69 ± 8 years; FEV1 51 ± 17% predicted) were included. Significant differences were found between filters (p < 0.001), but not between epoch lengths or NWT algorithms. The LFE increased, on average, approximately 7500 steps/day compared to the normal filter (p < 0.001). Agreement was poor (<0.3) and proportional bias was significant when comparing steps/day computed with different filters, regardless of the epoch length and NWT algorithm. Filter choice but not epoch lengths or NWT algorithms seem to impact measurement of steps/day. Future studies are needed to recommend the most accurate technique for measuring steps/day in people with COPD.

The relationship between mental health continuum and care dependency in individuals with chronic obstructive pulmonary disease: A cross-sectional study.

AIM: To examine the relationship between mental health continuum and care dependence of hospitalized patients, who were diagnosed with chronic obstructive pulmonary disease (COPD). DESIGN: Descriptive, cross-sectional study. METHODS: The data were obtained from 448 inpatients diagnosed with COPD, who were treated in clinics, by utilizing questionnaires and face-to-face interviews between November 2021 and February 2022. The Mental Health Continuum Short Form and Care Dependency Scale were used by the researchers with the sociodemographic and clinical characteristics form created in line with the literature. The data were analysed using the SPSS 23.0 software. RESULTS: It was determined that a moderately significant positive relationship between mental health continuum and care dependency. In addition, the patient's perception of own health, disease stage and severity of dyspnoea were also found to be associated with mental health and care dependency. Gender, marital status, employment status and income level were found to be associated with mental health continuum, but not with care dependency. Advanced age, low educational level, alcohol consumption, antidepressant use and comorbidities were found to be associated with both care dependency and mental health continuum. CONCLUSION: Individuals with COPD who have low mental health, poor health perception, high disease stage and dyspnoea severity have high care dependency. IMPACT: In this study, it was revealed that the level of mental health continuum was significantly associated with care dependency in individuals with COPD; in addition, the individual's perception of poor health, disease stage and dyspnoea severity were other factors associated with care dependency. It is important for nurses working with individuals with COPD to evaluate the mental health of individuals with poor health perception, high disease stage and dyspnoea severity and to plan appropriate interventions to reduce care dependency. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was required in the design, conduct, analysis or interpretation of this study. Patients/public members only contributed to data collection. Data were obtained from patients hospitalized in the chest diseases clinic of a training and research hospital.

Relationship Between Chronic Obstructive Pulmonary Disease and Osteoporosis: A Scoping Review.

INTRODUCTION: Potential associations between Chronic Obstructive Pulmonary Disease (COPD) and osteoporosis have been studied, but areas of uncertainty remain. OBJECTIVE: This scoping review aimed to identify the published evidence on the epidemiological relationships between COPD and osteoporosis. METHODS: Experimental and observational evidence evaluating relationships between COPD and osteoporosis on epidemiology, clinical manifestations, risk factors (RFs), therapeutic management and quality of life (QoL) was searched on PubMed and Embase (until May 2023). The studies were categorized according to their objectives and characteristics. Data were analyzed using descriptive statistics. RESULTS: Ninety-nine studies were selected, namely 33 (33%) reporting epidemiologic measures, 11 (11%) clinical manifestations, 74 (75%) RFs (45 ones, of which body mass index [BMI; n = 22 studies], corticosteroids' use [n = 20], and COPD severity [n = 15] were the most studied), 7 (7%) therapeutic management, and 3 (3%) QoL. Twenty-seven (27.6%) studies evaluated ≥2 domains. Most studies followed a cross-sectional design (n = 37; 37.4%). Eighty-nine studies (90%) assessed patients with COPD at baseline and studied its relationship with osteoporosis. CONCLUSION: There are well-established features linking COPD and osteoporosis, including shared RFs, such as smoking, elderly, physical inactivity, or low BMI. Others deserve clarification, including the impact of COPD severity, or the use of inhaled corticosteroids on the incidence of osteoporosis and fractures, as well as the value of performing routine imaging tests, or prescribing anti-resorptive medications in COPD to prevent osteoporotic-related outcomes. QoL studies are also lacking. Investigating such issues is needed to propose clinical guidelines for managing osteoporosis in patients with COPD.

Validation of diagnostic coding for chronic obstructive pulmonary disease in an electronic health record system in Hong Kong.

INTRODUCTION: Electronic health record databases can facilitate epidemiology research regarding diseases such as chronic obstructive pulmonary disease (COPD), a common medical condition worldwide. We aimed to assess the validity of International Classification of Diseases, 9th Revision (ICD-9) code algorithms for identifying COPD in Hong Kong's territory-wide electronic health record system, the Clinical Data Analysis and Reporting System (CDARS). METHODS: Adult patients diagnosed with COPD at all public hospitals in Hong Kong and specifically at Queen Mary Hospital from 2011 to 2020 were identified using the ICD-9 code 496 (Chronic airway obstruction, not elsewhere classified) within the CDARS. Two respiratory specialists reviewed clinical records and spirometry results to confirm the presence of COPD in a randomly selected group of cases. RESULTS: During the study period, 93 971 and 2479 patients had the diagnostic code for COPD at all public hospitals in Hong Kong and specifically at Queen Mary Hospital, respectively. Two hundred cases were randomly selected from Queen Mary Hospital for validation using medical records and spirometry results. The overall positive predictive value was 81.5% (95% confidence interval=76.1%-86.9%). We also developed an algorithm to identify COPD cases in our cohort. CONCLUSION: This study represents the first validation of ICD-9 coding for COPD in the CDARS. Our findings demonstrated that the ICD-9 code 496 is a reliable indicator for identifying COPD cases, supporting the use of the CDARS database for further clinical research concerning COPD.

Bilirubin-associated single nucleotide polymorphism (SNP) and respiratory health outcomes: a mendelian randomization study.

BACKGROUND: Observational studies have shown an association between higher bilirubin levels and improved respiratory health outcomes. Targeting higher bilirubin levels has been proposed as a novel therapeutic strategy in COPD. However, bilirubin levels are influenced by multiple intrinsic and extrinsic factors, and these observational studies are prone to confounding. Genetic analyses are one approach to overcoming residual confounding in observational studies. OBJECTIVES: To test associations between a genetic determinant of bilirubin levels and respiratory health outcomes. METHODS: COPDGene participants underwent genotyping at the baseline visit. We confirmed established associations between homozygosity for rs6742078 and higher bilirubin, and between higher bilirubin and decreased risk of acute respiratory events within this cohort. For our primary analysis, we used negative binomial regression to test associations between homozygosity for rs6742078 and rate of acute respiratory events. RESULTS: 8,727 participants (n = 6,228 non-Hispanic white and 2,499 African American) were included. Higher bilirubin was associated with decreased rate of acute respiratory events [incidence rate ratio (IRR) 0.85, 95% CI 0.75 to 0.96 per SD increase in bilirubin intensity]. We did not find significant associations between homozygosity for rs6742078 and acute respiratory events (IRR 0.94, 95% CI 0.70 to 1.25 for non-Hispanic white and 1.09, 95% CI 0.91 to 1.31 for African American participants). CONCLUSIONS: A genetic determinant of higher bilirubin levels was not associated with better respiratory health outcomes. These results do not support targeting higher bilirubin levels as a therapeutic strategy in COPD.

Effect of Chronic Disease Home Telehealth Monitoring in the Veterans Health Administration on Healthcare Utilization and Mortality.

BACKGROUND: The high prevalence of chronic diseases, including congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM), accounts for a large burden of cost and poor health outcomes in US hospitals, and home telehealth (HT) monitoring has been proposed to improve outcomes. OBJECTIVE: To measure the association between HT initiation and 12-month inpatient hospitalizations, emergency department (ED) visits, and mortality in veterans with CHF, COPD, or DM. DESIGN: Comparative effectiveness matched cohort study. PATIENTS: Veterans aged 65 years and older treated for CHF, COPD, or DM. MAIN MEASURES: We matched veterans initiating HT with veterans with similar demographics who did not use HT (1:3). Our outcome measures included a 12-month risk of inpatient hospitalization, ED visits, and all-cause mortality. KEY RESULTS: A total of 139,790 veterans with CHF, 65,966 with COPD, and 192,633 with DM were included in this study. In the year after HT initiation, the risk of hospitalization was not different in those with CHF (adjusted odds ratio [aOR] 1.01, 95% confidence interval [95%CI] 0.98-1.05) or DM (aOR 1.00, 95%CI 0.97-1.03), but it was higher in those with COPD (aOR 1.15, 95%CI 1.09-1.21). The risk of ED visits was higher among HT users with CHF (aOR 1.09, 95%CI 1.05-1.13), COPD (1.24, 95%CI 1.18-1.31), and DM (aOR 1.03, 95%CI 1.00-1.06). All-cause 12-month mortality was lower in those initiating HT monitoring with CHF (aOR 0.70, 95%CI 0.67-0.73) and DM (aOR 0.79, 95%CI 0.75-0.83), but higher in COPD (aOR 1.08, 95%CI 1.00-1.16). CONCLUSIONS: The initiation of HT was associated with increased ED visits, no change in hospitalizations, and lower all-cause mortality in patients with CHF or DM, while those with COPD had both higher healthcare utilization and all-cause mortality.

Willingness to participate in combination screening for lung cancer, chronic obstructive pulmonary disease and cardiovascular disease in four European countries.

OBJECTIVES: Lung cancer screening (LCS), using low-dose computed tomography (LDCT), can be more efficient by simultaneously screening for chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD), the Big-3 diseases. This study aimed to determine the willingness to participate in (combinations of) Big-3 screening in four European countries and the relative importance of amendable participation barriers. METHODS: An online cross-sectional survey aimed at (former) smokers aged 50-75 years elicited the willingness of individuals to participate in Big-3 screening and used analytical hierarchy processing (AHP) to determine the importance of participation barriers. RESULTS: Respondents were from France (n = 391), Germany (n = 338), Italy (n = 399), and the Netherlands (n = 342), and consisted of 51.2% men. The willingness to participate in screening was marginally influenced by the diseases screened for (maximum difference of 3.1%, for Big-3 screening (73.4%) vs. lung cancer and COPD screening (70.3%)) and by country (maximum difference of 3.7%, between France (68.5%) and the Netherlands (72.3%)). The largest effect on willingness to participate was personal perceived risk of lung cancer. The most important barriers were the missed cases during screening (weight 0.19) and frequency of screening (weight 0.14), while diseases screened for (weight 0.11) ranked low. CONCLUSIONS: The difference in willingness to participate in LCS showed marginal increase with inclusion of more diseases and limited variation between countries. A marginal increase in participation might result in a marginal additional benefit of Big-3 screening. The amendable participation barriers are similar to previous studies, and the new criterion, diseases screened for, is relatively unimportant. CLINICAL RELEVANCE STATEMENT: Adding diseases to combination screening modestly improves participation, driven by personal perceived risk. These findings guide program design and campaigns for lung cancer and Big-3 screening. Benefits of Big-3 screening lie in long-term health and economic impact, not participation increase. KEY POINTS: • It is unknown whether or how combination screening might affect participation. • The addition of chronic obstructive pulmonary disease and cardiovascular disease to lung cancer screening resulted in a marginal increase in willingness to participate. • The primary determinant influencing individuals' engagement in such programs is their personal perceived risk of the disease.

Validity and Reliability of the Assessment of Burden of Chronic Conditions Scale in the Netherlands.

PURPOSE: The Assessment of Burden of Chronic Conditions (ABCC) tool was developed to improve care by facilitating shared decision making and self-management. It assesses and visualizes the experienced burden of 1 or multiple chronic conditions and integrates it in daily care. The aim of this study is to evaluate whether the ABCC scale is valid and reliable in people with chronic obstructive pulmonary disease (COPD), asthma, or type 2 diabetes (T2D). METHODS: The Saint George Respiratory Questionnaire (SGRQ), the Standardized Asthma Quality of Life Questionnaire (AQLQ-S), and the Audit of Diabetes Dependent Quality of Life Questionnaire (ADDQoL19) were compared with the ABCC scale to assess convergent validity. The internal consistency was evaluated using Cronbach's α. Test-retest reliability was evaluated at a 2-week interval. RESULTS: A total of 65 people with COPD, 62 with asthma, and 60 with T2D were included. The ABCC scale correlated, in accordance with hypotheses, with the SGRQ (75% of correlations ≥0.7), AQLQ-S (100%), and ADDQoL19 (75%). The ABCC scale was internally consistent with a Cronbach's α of 0.90, 0.92, and 0.91 for the total score for people with COPD, asthma, and T2D, respectively. The ABCC scale had a good test-retest reliability with an intraclass correlation coefficient of 0.95, 0.93, and 0.95 for people with COPD, asthma, and T2D, respectively. CONCLUSIONS: The ABCC scale is a valid and reliable questionnaire that can be used within the ABCC tool for people with COPD, asthma, or T2D. Future research should indicate whether this applies to people with multimorbidity, and what the effects and experiences are upon clinical use.

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prompt and accurate diagnosis is important to enable patients to receive appropriate care at the earliest possible stage to delay disease progression and prolong survival. Artificial intelligence-assisted lung auscultation and ultrasound (LUS) could constitute an alternative to conventional, subjective, operator-related methods for the accurate and earlier diagnosis of these diseases. This protocol describes the standardised collection of digitally-acquired lung sounds and LUS images of adult outpatients with IPF, NSIP or COPD and a deep learning diagnostic and severity-stratification approach. METHODS: A total of 120 consecutive patients (≥ 18 years) meeting international criteria for IPF, NSIP or COPD and 40 age-matched controls will be recruited in a Swiss pulmonology outpatient clinic, starting from August 2022. At inclusion, demographic and clinical data will be collected. Lung auscultation will be recorded with a digital stethoscope at 10 thoracic sites in each patient and LUS images using a standard point-of-care device will be acquired at the same sites. A deep learning algorithm (DeepBreath) using convolutional neural networks, long short-term memory models, and transformer architectures will be trained on these audio recordings and LUS images to derive an automated diagnostic tool. The primary outcome is the diagnosis of ILD versus control subjects or COPD. Secondary outcomes are the clinical, functional and radiological characteristics of IPF, NSIP and COPD diagnosis. Quality of life will be measured with dedicated questionnaires. Based on previous work to distinguish normal and pathological lung sounds, we estimate to achieve convergence with an area under the receiver operating characteristic curve of > 80% using 40 patients in each category, yielding a sample size calculation of 80 ILD (40 IPF, 40 NSIP), 40 COPD, and 40 controls. DISCUSSION: This approach has a broad potential to better guide care management by exploring the synergistic value of several point-of-care-tests for the automated detection and differential diagnosis of ILD and COPD and to estimate severity. Trial registration Registration: August 8, 2022. CLINICALTRIALS: gov Identifier: NCT05318599.

The Use of eHealth for Pharmacotherapy Management With Patients With Respiratory Disease, Cardiovascular Disease, or Diabetes: Scoping Review.

BACKGROUND: eHealth is increasingly considered an important tool for supporting pharmacotherapy management. OBJECTIVE: We aimed to assess the (1) use of eHealth in pharmacotherapy management with patients with asthma or chronic obstructive pulmonary disease (COPD), diabetes, or cardiovascular disease (CVD); (2) effectiveness of these interventions on pharmacotherapy management and clinical outcomes; and (3) key factors contributing to the success of eHealth interventions for pharmacotherapy management. METHODS: We conducted a scoping review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review) statement. Databases searched included Embase, MEDLINE (PubMed), and Cochrane Library. Screening was conducted by 2 independent researchers. Eligible articles were randomized controlled trials and cohort studies assessing the effect of an eHealth intervention for pharmacotherapy management compared with usual care on pharmacotherapy management or clinical outcomes in patients with asthma or COPD, CVD, or diabetes. The interventions were categorized by the type of device, pharmacotherapy management, mode of delivery, features, and domains described in the conceptual model for eHealth by Shaw at al (Health in our Hands, Interacting for Health, Data Enabling Health). The effectiveness on pharmacotherapy management outcomes and patient- and clinician-reported clinical outcomes was analyzed per type of intervention categorized by number of domains and features to identify trends. RESULTS: Of 63 studies, 16 (25%), 31 (49%), 13 (21%), and 3 (5%) included patients with asthma or COPD, CVD, diabetes, or CVD and diabetes, respectively. Most (38/63, 60%) interventions targeted improving medication adherence, often combined for treatment plan optimization. Of the 16 asthma or COPD interventions, 6 aimed to improve inhaled medication use. The majority (48/63, 76%) of the studies provided an option for patient feedback. Most (20/63, 32%) eHealth interventions combined all 3 domains by Shaw et al, while 25% (16/63) combined Interacting for Health with Data Enabling Health. Two-thirds (42/63, 67%) of the studies showed a positive overall effect. Respectively, 48% (23/48), 57% (28/49), and 39% (12/31) reported a positive effect on pharmacotherapy management and clinician- and patient-reported clinical outcomes. Pharmacotherapy management and patient-reported clinical outcomes, but not clinician-reported clinical outcomes, were more often positive in interventions with ≥3 features. There was a trend toward more studies reporting a positive effect on all 3 outcomes with more domains by Shaw et al. Of the studies with interventions providing patient feedback, more showed a positive clinical outcome, compared with studies with interventions without feedback. This effect was not seen for pharmacotherapy management outcomes. CONCLUSIONS: There is a wide variety of eHealth interventions combining various domains and features to target pharmacotherapy management in asthma or COPD, CVD, and diabetes. Results suggest feedback is key for a positive effect on clinician-reported clinical outcomes. eHealth interventions become more impactful when combining domains.

Machine Learning-Based Proteomics Reveals Ferroptosis in COPD Patient-Derived Airway Epithelial Cells Upon Smoking Exposure.

BACKGROUND: Proteomics and genomics studies have contributed to understanding the pathogenesis of chronic obstructive pulmonary disease (COPD), but previous studies have limitations. Here, using a machine learning (ML) algorithm, we attempted to identify pathways in cultured bronchial epithelial cells of COPD patients that were significantly affected when the cells were exposed to a cigarette smoke extract (CSE). METHODS: Small airway epithelial cells were collected from patients with COPD and those without COPD who underwent bronchoscopy. After expansion through primary cell culture, the cells were treated with or without CSEs, and the proteomics of the cells were analyzed by mass spectrometry. ML-based feature selection was used to determine the most distinctive patterns in the proteomes of COPD and non-COPD cells after exposure to smoke extract. Publicly available single-cell RNA sequencing data from patients with COPD (GSE136831) were used to analyze and validate our findings. RESULTS: Five patients with COPD and five without COPD were enrolled, and 7,953 proteins were detected. Ferroptosis was enriched in both COPD and non-COPD epithelial cells after their exposure to smoke extract. However, the ML-based analysis identified ferroptosis as the most dramatically different response between COPD and non-COPD epithelial cells, adjusted P value = 4.172 × 10-6, showing that epithelial cells from COPD patients are particularly vulnerable to the effects of smoke. Single-cell RNA sequencing data showed that in cells from COPD patients, ferroptosis is enriched in basal, goblet, and club cells in COPD but not in other cell types. CONCLUSION: Our ML-based feature selection from proteomic data reveals ferroptosis to be the most distinctive feature of cultured COPD epithelial cells compared to non-COPD epithelial cells upon exposure to smoke extract.

Risk of Rapid Lung Function Decline in Young Adults With Chronic Obstructive Pulmonary Disease: A Community-Based Prospective Cohort Study.

It is unclear whether young adults with chronic obstructive pulmonary disease (COPD) are at an increased risk of rapid lung function decline. A total of 2,934 Korean adults aged 40-49 years who had consecutive lung function measurements were included. COPD was defined as pre-bronchodilator forced expiratory volume in 1 second (FEV1)/forced vital capacity < lower limit of normal. The risk of rapid decline in FEV1, defined as ≥ 60 mL/year, was assessed using multivariable logistic regression analysis. In the multivariable model, a significantly higher risk of rapid decline in FEV1 was observed for the COPD group compared with the non-COPD group (adjusted odds ratio, 1.89; 95% confidence interval, 1.18-2.95), which was especially significant in subjects with FEV1 less than the median value (< 110%pred) (Pinteraction = 0.017) and inactive physical activity (Pinteraction = 0.039). In conclusion, the risk of rapid FEV1 decline was higher in young adults with COPD than in those without COPD, especially in those with FEV1 less than the median value and inactive physical activity.

Do Functional Tests Estimate Physical Activity in COPD?

The association between physical activity in daily life (PADL) and simple functional tests is not yet clearly understood in subjects with chronic obstructive pulmonary disease (COPD). Therefore, the aim of this study was to investigate the association of two functional tests (Sit-to-Stand test [STS] and the 4-Metre Gait Speed test [4MGS]) with PADL, as well as to identify whether these tests can discriminate those subjects who are physically inactive. In this cross-sectional study, 28 subjects with COPD performed the five repetitions Sit-to-Stand (STS5r), the 4MGS and used the DynaPort activity monitor for 7 days in order to assess PADL. Walking time, movement intensity while walking (MI) and Physical Activity Level index (PAL) were considered as PADL outcomes. STS5r and 4MGS, respectively, were significantly associated with walking time (R2 = 0.16; p = 0.024 and R2 = 0.25; p = 0.006) and PAL index (R2 = 0.17; p = 0.002 and R2 = 0.30; p = 0.003), whereas movement intensity was associated only with the 4MGS (R2 = 0.23; p = 0.009). Additionally, both tests were able to discriminate physically inactive subjects (cutoffs: STS5r = 11.48s [AUC = 0.73]; 4MGS = 1.09m/s [AUC = 0.88]). In conclusion, STS5r and 4MGS can predict up to 30% of PADL in subjects with COPD. Both tests are related to PADL duration (e.g. time spent walking), while only the 4MGS reflects movement intensity. Both tests presented discriminative capacity to identify subjects with worse PADL pattern.

[Study on the correlation between ceramic and chronic obstructive pulmonary disease in Foshan City].

Objective: To study the correlation between ceramic and chronic obstructive pulmonary disease (COPD), and explore its related risk factors. Methods: In January 2021, five representative ceramic enterprises were selected from Chancheng District, Nanhai District, Gaoming District and Sanshui District of Foshan City. The ceramic workers who came to Chancheng Hospital of Foshan First People's Hospital for physical examination from January to October 2021 were selected as the research objects, and 525 people were included. Conduct questionnaire survey and pulmonary function test. Logistic regresion was performed to analyze the influencing facters of COPD among ceramic workers. Results: The subjects were (38.51±1.25) years old, 328 males and 197 females, and the detection rate of COPD was 9.52% (50/525). The incidence of respiratory symptoms such as dyspnea, chronic cough, wheezing and chest tightness, the detection rates of abnormal lung age, abnormal lung function and COPD in males were higher than those in females (P<0.05). The logistic regression analysis showed that male, age, working years, smoking status and family history of COPD were the risk factors for COPD among ceramic workers (P<0.05) . Conclusion: The ceramic workers are the high risk population of COPD. We should do a good job in health education, and do a regular physical examination to find the changes of lung function in time, and prevent the occurrence of COPD as soon as possible.

[Research progress on exposure to disinfectants and chronic obstructive pulmonary disease].

Chronic obstructive pulmonary disease (COPD) is a common chronic respiratory disease. In recent years, the cumulative prevalence of COPD has been increasing. There are many etiologies and predisposing factors related to COPD, among which occupational risk factors play an important role. Recent studies have found an association between exposure to disinfectants and their products and airway inflammation, respiratory symptoms, and the development of COPD. During the period of COVID-19, disinfection has become an important link in the prevention and control of COVID-19, and the use rate of disinfectants has increased significantly. Therefore, this review summarizes the effects of disinfectants and their products on COPD, discusses the possible mechanisms, and puts forward suggestions for rational use of disinfectants according to the current situation and the development status of disinfectants.

[41 cases of chronic obstructive pulmonary disease caused by occupational irritating chemicals].

Objective: To analyze the case characteristics of Chronic obstructive pulmonary disease caused by occupational irritant chemicals (OI-COPD). To provide basis for revising its diagnostic criteria. Methods: From June to December 2021, we investigated the information of OI-COPD patients confirmed by Shandong Institute of Occupational Health and Prevention of Occupational Diseases, Guangxi Zhuang Autonomous Region Institute of Occupational Disease Prevention and Control, Qingdao Central Hospital affiliated to Qingdao University and other diagnostic institutions in the past five years, a total of 41 cases. The basic information of OI-COPD cases, occupational risk factors exposure information, medical history, smoking history and clinical symptoms were analyzed retrospectively. The measurement data were tested for normal distribution, which was described by x±s, and compared between groups by t test; Those who do not conform to the normal distribution are described by the median [M (Q(1), Q(3)) ] and analyzed by nonparametric test; The counting data were expressed in frequency and rate (% ), and the comparison between groups was tested. Results: Of the 41 cases, 33 were male and 8 were female. The age of the patient diagnosed with OI-COPD was (49.5±10.3) years old, and the minimum age was 30 years old; Among them, 8 patients had a definite long-term smoking history (more than 5 years) ; The exposure duration of occupational risk factors was (18.6±10.3) years, of which 3 patients had exposure duration of less than 5 years; The occupational risk factors leading to OI-COPD include acids and acid-forming compounds, bases, aldehydes, nitrogen oxides, chlorine and its compounds, etc. The exposure level of occupational risk factors is related to the degree of COPD airflow restriction (χ(2)=6.17, P <0.05). 18 patients with diagnosis age <50 years old were diagnosed as early-onset COPD. The incidence of respiratory symptoms in the early diagnosis COPD group was lower than that in the non-early diagnosis COPD group, and the FEV1% pred was significantly higher than that in the non-early diagnosis COPD group. The difference was statistically significant (P<0.01 ) . Conclusion: The exposure level of occupational risk factors may be the risk factor affecting the degree of COPD airflow restriction. With the increase of the exposure level of COPD patients, the proportion of respiratory symptoms will also increase accordingly.

Epigenetic Regulation by Suv4-20h1 in Cardiopulmonary Progenitor Cells Is Required to Prevent Pulmonary Hypertension and Chronic Obstructive Pulmonary Disease.

BACKGROUND: The pathogenesis of life-threatening cardiopulmonary diseases such as pulmonary hypertension (PH) and chronic obstructive pulmonary disease (COPD) originates from a complex interplay of environmental factors and genetic predispositions that is not fully understood. Likewise, little is known about developmental abnormalities or epigenetic dysregulations that might predispose for PH or COPD in adult individuals. METHODS: To identify pathology-associated epigenetic alteration in diseased lung tissues, we screened a cohort of human patients with PH and COPD for changes of histone modifications by immunofluorescence staining. To analyze the function of H4K20me2/3 in lung pathogenesis, we developed a series of Suv4-20h1 knockout mouse lines targeting cardiopulmonary progenitor cells and different heart and lung cell types, followed by hemodynamic studies and morphometric assessment of tissue samples. Molecular, cellular, and biochemical techniques were applied to analyze the function of Suv4-20h1-dependent epigenetic processes in cardiopulmonary progenitor cells and their derivatives. RESULTS: We discovered a strong reduction of the histone modifications of H4K20me2/3 in human patients with COPD but not patients with PH that depend on the activity of the H4K20 di-methyltransferase SUV4-20H1. Loss of Suv4-20h1 in cardiopulmonary progenitor cells caused a COPD-like/PH phenotype in mice including the formation of perivascular tertiary lymphoid tissue and goblet cell hyperplasia, hyperproliferation of smooth muscle cells/myofibroblasts, impaired alveolarization and maturation defects of the microvasculature leading to massive right ventricular dilatation and premature death. Mechanistically, SUV4-20H1 binds directly to the 5'-upstream regulatory element of the superoxide dismutase 3 (Sod3) gene to repress its expression. Increased levels of the extracellular SOD3 enzyme in Suv4-20h1 mutants increases hydrogen peroxide concentrations, causing vascular defects and impairing alveolarization. CONCLUSIONS: Our findings reveal a pivotal role of the histone modifier SUV4-20H1 in cardiopulmonary codevelopment and uncover the developmental origins of cardiopulmonary diseases. We assume that the study will facilitate the understanding of pathogenic events causing PH and COPD and aid the development of epigenetic drugs for the treatment of cardiopulmonary diseases.

Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis.

OBJECTIVE: Research on computed tomography (CT) bronchial parameter measurements shows that there are conflicting results on the values for bronchial parameters in the never-smoking, smoking, asthma, and chronic obstructive pulmonary disease (COPD) populations. This review assesses the current CT methods for obtaining bronchial wall parameters and their comparison between populations. METHODS: A systematic review of MEDLINE and Embase was conducted following PRISMA guidelines (last search date 25th October 2021). Methodology data was collected and summarised. Values of percentage wall area (WA%), wall thickness (WT), summary airway measure (Pi10), and luminal area (Ai) were pooled and compared between populations. RESULTS: A total of 169 articles were included for methodologic review; 66 of these were included for meta-analysis. Most measurements were obtained from multiplanar reconstructions of segmented airways (93 of 169 articles), using various tools and algorithms; third generation airways in the upper and lower lobes were most frequently studied. COPD (12,746) and smoking (15,092) populations were largest across studies and mostly consisted of men (median 64.4%, IQR 61.5 - 66.1%). There were significant differences between populations; the largest WA% was found in COPD (mean SD 62.93 ± 7.41%, n = 6,045), and the asthma population had the largest Pi10 (4.03 ± 0.27 mm, n = 442). Ai normalised to body surface area (Ai/BSA) (12.46 ± 4 mm2, n = 134) was largest in the never-smoking population. CONCLUSIONS: Studies on CT-derived bronchial parameter measurements are heterogenous in methodology and population, resulting in challenges to compare outcomes between studies. Significant differences between populations exist for several parameters, most notably in the wall area percentage; however, there is a large overlap in their ranges. KEY POINTS: • Diverse methodology in measuring airways contributes to overlap in ranges of bronchial parameters among the never-smoking, smoking, COPD, and asthma populations. • The combined number of never-smoking participants in studies is low, limiting insight into this population and the impact of participant characteristics on bronchial parameters. • Wall area percent of the right upper lobe apical segment is the most studied (87 articles) and differentiates all except smoking vs asthma populations.