Project description:BackgroundSecondary polycythemia is associated with cigarette smoking and chronic obstructive pulmonary disease (COPD). However, the prevalence of polycythemia in COPD and the contributing risk factors for polycythemia in COPD have not been extensively studied.MethodsWe analyzed the presence of secondary polycythemia in current and former smokers with moderate to very severe COPD at the five-year follow-up visit in the observational COPDGene study. We used logistic regression to evaluate the association of polycythemia with age, sex, race, altitude, current smoking status, spirometry, diffusing capacity for carbon monoxide (DLCO), quantitative chest CT measurements (including emphysema, airway wall thickness, and pulmonary artery to aorta diameter ratio), resting hypoxemia, exercise-induced hypoxemia, and long-term oxygen therapy.ResultsIn a total of 1928 COPDGene participants with moderate to very severe COPD, secondary polycythemia was found in 97 (9.2%) male and 31 (3.5%) female participants. In a multivariable logistic model, severe resting hypoxemia (OR 3.50, 95% CI 1.41-8.66), impaired DLCO (OR 1.28 for each 10-percent decrease in DLCO % predicted, CI 1.09-1.49), male sex (OR 3.60, CI 2.20-5.90), non-Hispanic white race (OR 3.33, CI 1.71-6.50), current smoking (OR 2.55, CI 1.49-4.38), and enrollment in the Denver clinical center (OR 4.42, CI 2.38-8.21) were associated with higher risk for polycythemia. In addition, continuous (OR 0.13, CI 0.05-0.35) and nocturnal (OR 0.46, CI 0.21-0.97) supplemental oxygen were associated with lower risk for polycythemia. Results were similar after excluding participants with anemia and participants enrolled at the Denver clinical center.ConclusionsIn a large cohort of individuals with moderate to very severe COPD, male sex, current smoking, enrollment at the Denver clinical center, impaired DLCO, and severe hypoxemia were associated with increased risk for secondary polycythemia. Continuous or nocturnal supplemental oxygen use were associated with decreased risk for polycythemia.
Project description:Diaphragm muscles in Chronic Obstructive Pulmonary Disease (COPD) patients undergo an adaptive fast to slow transformation that includes cellular adaptations. This project studies the signaling mechanisms responsible for this transformation. Keywords: other
Project description:Identifying protein biomarkers for chronic obstructive pulmonary disease (COPD) has been challenging. Most previous studies have utilized individual proteins or pre-selected protein panels measured in blood samples. To identify COPD protein biomarkers by applying comprehensive mass spectrometry proteomics in lung tissue samples. We utilized mass spectrometry proteomic approaches to identify protein biomarkers from 152 lung tissue samples representing COPD cases and controls.
Project description:Investigation of whole genome gene expression level changes of the dynamic gene profiling of peripheral blood mononuclear cells (PBMCs) from patients with AECOPD) on day1, 3 and 10, compared to the normal people and stable COPD patients. A five chip study using total RNA recovered from Peripheral Blood Mononuclear Cell of Peripheral Blood.Evaluating the dynamic gene profiling of peripheral blood mononuclear cells (PBMCs) from patients with AECOPD) on day1, 3 and 10 after the hospital admission, to compared with healthy controls or patients with stable COPD. Slides were scanned at 5 μm/pixel resolution using an Axon GenePix 4000B scanner (Molecular Devices Corporation) piloted by GenePix Pro 6.0 software (Axon). Scanned images (TIFF format) were then imported into NimbleScan software (version 2.5) for grid alignment and expression data analysis. Expression data were normalized through quantile normalization and the Robust Multichip Average (RMA) algorithm included in the NimbleScan software. The Probe level (*_norm_RMA.pair) files and Gene level (*_RMA.calls) files were generated after normalization.
Project description:Measuring genome-wide changes in transcript abundance in circulating peripheral whole blood cells is a useful way to study disease pathobiology and may help elucidate biomarkers and molecular mechanisms of disease. The sensitivity and interpretability of analyses carried out in this complex tissue, however, are significantly affected by its heterogeneity. It is therefore desirable to quantify this heterogeneity, either to account for it or to better model interactions that may be present between the abundance of certain transcripts, some cell types and some indication. Accurate enumeration of the many component cell types that make up peripheral whole blood can be costly, however, and may further complicate the sample collection process. Many approaches have been developed to infer the composition of a sample from high-dimensional transcriptomic and, more recently, epigenetic data. These approaches rely on the availability of isolated expression profiles for the cell types to be enumerated. These profiles are platform-specific, suitable datasets are rare, and generating them is expensive. No such dataset exists on the Affymetrix Gene ST platform. We present a freely-available, and open-source, multiresponse Gaussian model capable of accurately inferring the composition of peripheral whole blood samples from Affymetrix Gene ST expression profiles. The model was developed on a cohort of patients with chronic obstructive pulmonary disease (COPD) and tested in chronic heart failure patients.
Project description:BackgroundThis study compares the prevalence rates of comorbidities between chronic obstructive pulmonary disease (COPD) and non-COPD control patients reported in literature.MethodLiterature was searched in several electronic databases. After the selection of studies by following précised eligibility criteria, meta-analyses of odds ratios (ORs) were carried out with subgroup and sensitivity analyses under random effects model.ResultsEleven studies (47,695,183 COPD and 47,924,876 non-COPD control patients' data) were used for meta-analysis. Average age of COPD patients was 66.66 ± 8.72 years of whom 55.4 ± 11.9% were males. The prevalence of cardiovascular comorbidities [OR 1.90, 95% confidence interval (95% CI) 1.59-2.28; P < .00001], cerebrovascular comorbidities (OR 1.84, 95% CI 1.47-2.31; P < .00001), hypertension (OR 1.45, 95% CI 1.31-1.61; P < .00001), diabetes mellitus (OR 1.22, 95% CI 1.07-1.38; P = .003), neurological and psychiatric disorders (OR 1.78, 95% CI 1.48-2.14; P < .00001), gut and renal disorders (OR 1.96, 95% CI 1.43-2.68; P < .00001), musculoskeletal disorders (OR 1.51, 95% CI 1.27-1.78; P < .00001), non-COPD respiratory comorbidities (OR 2.81, 95% CI 2.52-3.14; P < .00001), and cancer (OR 1.67, 95% CI 1.25-2.23; P = .0005) were significantly higher in COPD patients than in non-COPD controls.ConclusionCOPD is associated with significantly higher comorbidities than in other diseases that should be taken into consideration in COPD control strategies.
Project description:IntroductionIn the last decade, survival of people living with HIV (PLHIV) has dramatically increased due wide availability of effective antiretroviral therapy. However, PLHIV remain at a comparatively higher risk of non-communicable comorbidities. We sought to determine the burden of COPD and its associations in an urban tertiary HIV clinic in Uganda.Methods and findingsHIV-infected adults attending the Makerere University Joint AIDS program; aged ≥30 years without acute ailments were screened for COPD using study questionnaires and spirometry (post-bronchodilator FEV1/FVC<0.7). We determined its prevalence and association with demographic characteristics, body mass index (BMI) and known risk factors. Of 288 participants enrolled, 177 (61%) were female; 253 (88%) were from urban residences, median age was 45 years (IQR: 39-51), 71(25%) were 'ever' smokers, 284(99%) reported biomass fuel use and 72(25%) had a history of tuberculosis. All except 1 participant were on antiretroviral therapy, median current CD4 (cells/mm3) was 558 (IQR 402-753) and 275(96%) were virologically suppressed. Nearly half (130/288, 45%) had recurrent respiratory symptoms. The prevalence of COPD was 3.1% (9/288) [95% CI: 1.63-5.92]. COPD was associated with: previous tuberculosis, (adjusted odds ratio (AOR): 6.36, [95% CI 1.64-35.84], P = 0.036), self-reported chronic shortness of breath (AOR: 9.06, [95% CI 1.34-61.10], P = 0.024) and a BMI <21 Kg/m2 (AOR: 10.42 [95% CI: 1.61-100.00], P = 0.013).ConclusionIn this HIV population, COPD prevalence was low and was associated with previous tuberculosis, self-reported chronic shortness of breath and BMI <21 Kg/m2.
Project description:Chronic obstructive pulmonary disease (COPD) is associated with airway inflammation and microbiota dysbiosis. However, the function of lung microbiome alteration in early COPD remains unclear. This study is the first to characterize the lower respiratory tract microbiota in early COPD patients via bronchoalveolar lavage fluid (BALF) samples. By using full-length 16S sequencing, we found that the lung microbiome of early COPD patients had lower bacterial richness and significant compositional differences than did that of the healthy smoker controls. Streptococcus was the most robustly distinguished genus in early COPD patients and was associated with decreased lung function and increased host local inflammation. Furthermore, a murine cigarette smoke model of early COPD revealed that Streptococcus mitis promotes the progression of early COPD. Single-cell transcriptomics revealed that Streptococcus mitis increased emphysematous destruction of the lung parenchyma in a mouse early COPD model by regulating the function of alveolar type II (AT2) cells and macrophages. Therefore, targeting the lower airway microbiota in combination with smoking cessation may be a potential therapeutic approach for early COPD.
Project description:BackgroundChronic obstructive pulmonary disease (COPD) mainly affects individuals aged 60 and older. The proper use of inhalers is crucial for managing COPD. This study aimed to evaluate the prevalence and factors affecting the appropriate use of inhalers among elderly patients with COPD.MethodsWe enrolled 91 elderly patients with COPD admitted to the Department of Respiratory, University Medical Center HCMC between October 2020 and May 2021. Patients who were capable of using the inhaler would have their inhaler usage recorded through video footage. Two respiratory experts carefully analyzed 133 video-recorded demonstrations for evaluation purposes.Results18.7% of the patients demonstrated the correct inhaler technique. Pressurized metered dose inhaler (pMDI) and Turbuhaler had the lowest documented correct usage rates (11.9% and 10.0%, respectively). Two critical steps, namely "holding breath for about five seconds or as long as comfortable" and "breathing out gently," were commonly performed incorrectly when using pMDI, Respimat, Breezhaler, or Turbuhaler. Multivariable logistic regression analysis showed that lower mMRC scores (AOR = 5.3, CI 1.1-25.5, p = 0.037) and receiving inhaler instruction within the past three months (AOR = 5.2, CI 1.3-20.1, p = 0.017) were associated with increased odds of using the inhaler correctly.ConclusionsOur study found that less than 20% of elderly patients with COPD use inhalers correctly. Common errors include inadequate breath-holding and gentle exhalation. mMRC scores and recent inhaler instruction were predictors of proper use. These findings can aid clinicians in improving inhaler management for elderly patients with COPD.
Project description:ObjectiveTo systematically review the prevalence and risk factors for frailty in patients with chronic obstructive pulmonary disease (COPD).MethodsA systematic review and meta-analysis were conducted, and a search of the PubMed, Embase and Web of Science databases was carried out to collect Chinese and English studies on frailty and COPD published up to September 5, 2022.ResultsA total of 38 articles were included for the quantitative analysis after the collected literature was either included or omitted based on pertinent criteria. The results indicated that the estimated overall pooled prevalence of frailty was 36% (95% confidence interval [CI] = 31-41%), and the estimated pre-frailty was 43% (95% CI = 37-49%). A higher age (odds ratio [OR] = 1.04; 95% CI = 1.01-1.06) and higher COPD assessment test (CAT) score (OR = 1.19; 95% CI = 1.12-1.27) were associated with a significantly increased likelihood of frailty in patients with COPD. However, a higher educational attainment (OR = 0.55; 95% CI = 0.43-0.69) and higher income (OR = 0.63; 95% CI = 0.45-0.88) were associated with a significantly reduced risk of frailty in patients with COPD. A total of 17 other risk factors for frailty were identified via qualitative synthesis.ConclusionThe incidence of frailty in patients with COPD is high, and there are many influencing factors.