scholarly journals Clinical Differences between Eosinophilic and Noneosinophilic Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Multicenter Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Guangming Dai ◽  
Yajuan Ran ◽  
Jiajia Wang ◽  
Xingru Chen ◽  
Junnan Peng ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Chronic Obstructive ◽  
Multiple Logistic Regression ◽  
Sectional Study ◽  
Cross Sectional ◽  
Obstructive Pulmonary Disease ◽  
Underlying Diseases

Rationale. Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is highly heterogeneous with a plethora of different etiologic factors and inflammatory presentations. COPD with higher blood eosinophil count is associated with increased readmission rates and better corticosteroid responses. However, the clinical features of eosinophilic AECOPD are not well explored. Thus, this study was aimed at exploring the clinical differences between eosinophilic and noneosinophilic AECOPD. Methods. A total of 643 AECOPD patients were enrolled in this multicenter cross-sectional study. Finally, 455 were included, 214 in the normal-eosinophil AECOPD (NEOS-AECOPD) group, 63 in the mild increased-eosinophil AECOPD (MEOS-AECOPD) group, and 138 in the severe increased-eosinophil AECOPD (SEOS-AECOPD) group. Demographic data, underlying diseases, symptoms, and laboratory findings were collected. Multiple logistic regression analysis was performed to identify the independent factors associated with blood eosinophils (EOS). Correlations between blood EOS and its associated independent factors were evaluated. Results. The significant differences in 19 factors, including underlying diseases, clinical symptoms, and laboratory parameters, were identified by univariate analysis. Subsequently, multiple logistic regression analysis revealed that lymphocyte%, neutrophil% (NS%), procalcitonin (PCT), and anion gap (AG) were independently associated with blood EOS in AECOPD. Both blood EOS counts and EOS% were significantly correlated with lymphocyte%, NS%, PCT, and AG. Conclusions. Collectively, blood EOS was independently associated with lymphocyte%, NS%, PCT, and AG in AECOPD patients. Lymphocyte% was lower, and NS%, PCT, and AG were higher in eosinophilic AECOPD. Our results indicate that viral-dominant infections are the probable major etiologies of eosinophilic AECOPD. Noneosinophilic AECOPD is more likely associated with bacterial-dominant infections. The systemic inflammation in noneosinophilic AECOPD was more severe.

scholarly journals Analysis of diagnostic delay and its influencing factors in patients with chronic obstructive pulmonary disease: a cross-sectional study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhongshang Dai ◽  
Yiming Ma ◽  
Zijie Zhan ◽  
Ping Chen ◽  
Yan Chen
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Diagnostic Delay ◽  
Cross Sectional Study ◽  
Chronic Obstructive ◽  
Sectional Study ◽  
Cross Sectional ◽  
Obstructive Pulmonary Disease

AbstractTo explore the status of diagnostic delay and to clarify its potentially influencing factors in patients with chronic obstructive pulmonary disease (COPD). A cross-sectional study was conducted in a Chinese tertiary hospital between July 2019 and February 2020. A total of 408 eligible outpatients with COPD were recruited, and relevant data were collected in the form of questionnaires. Diagnostic delay was compared among different characteristics using the Wilcoxon test and Kruskal–Wallis H test. Multivariable linear regression analysis was performed to determine the factors related to diagnostic delay. The median (interquartile range [IQR]) duration of diagnostic delay was 230 (50–720) days. The proportions of COPD patients who chose tertiary, secondary, and first-level hospitals for the first visit were 53.7%, 29.9%, and 16.4%, respectively. Additionally, the proportions of patients who underwent pulmonary function tests for the first visit in tertiary, secondary, and first-level hospitals were 74.0%, 24.6%, and 1.5% (p < 0.001), respectively. In terms of characteristics related to diagnostic delay, there was a significant difference in residence, resident manner, COPD assessment test (CAT) score, modified Medical British Research Council (mMRC) dyspnea scale, age, forced expiratory volume in one second (FEV1) % predicted, and years of education (all p < 0.01). Linear regression analysis showed that significant predictors of diagnostic delay included FEV1% predicted (p < 0.05), resident manner (p < 0.001), and years of education (p < 0.01). Our study indicates that varying degrees of diagnostic delay may exist in patients with COPD. Measures are needed to intervene in the potential factors associated with diagnostic delay.

Association between Chronic Obstructive Pulmonary Disease and Peripheral Arterial Disease in Construction Workers-A Cross-Sectional Study

2021 ◽  
Vol 15 (9) ◽  
pp. 2989-2994
Author(s):  
U. Sivakumar ◽  
Rinku Garg ◽  
Sunita Nighute
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Peripheral Arterial Disease ◽  
Pulmonary Disease ◽  
Arterial Disease ◽  
Cross Sectional Study ◽  
Chronic Obstructive ◽  
Sectional Study ◽  
Cross Sectional ◽  
Obstructive Pulmonary Disease ◽  
Peripheral Arterial

Objective: COPD has been recognized not only as a lung but also a systemic disease. Smoking is a major cause of COPD, cardiovascular disease, stroke and peripheral arterial disease (PAD). Methods: This was a cross-sectional study conducted at the Department of Physiology, Santosh Medical College diagnosed with COPD using Spirometry was recruited for the study with a sample size of 130 patients. Results: Of the 130 participants, the mean age was 51.73 years of all COPD patients. Thirty-seven (28.46%) were diagnosed to have PAD. Twenty-five patients (19.23%) were overweight, 10 (7.69%) were obese. All the patients included in the study had history of smoking, including current (n= 67, 51.5%) and former (n= 35, 26.9%) smokers. There was no patient with severe respiratory failure in our study. The most common cardiovascular co-morbidity was hypertension (n= 67, 51.5%), followed by diabetes mellitus (n =28, 21.5%), and dyslipidaemia (n= 35, 26.92%). PAD seen in different stages of COPD stage I –IV were 2.94%, 55.88%, 61.76%, 20.58% respectively. Conclusion: The diagnosis of peripheral arterial disease in COPD is important because this is an entity that limits the patient’s physical activity and impairs their quality of life. Lung function was not associated with PAD in patients with COPD. Abnormal ABI results were associated with a higher prevalence of risk factors and more severe lung disease. Keywords: Peripheral Arterial Disease, Smoking, Chronic Obstructive Pulmonary Disease.

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