Objective To analyse the content and structure of the health management policy text for chronic obstructive pulmonary disease (COPD) in China, and to provide a reference for the optimization and improvement of subsequent relevant policies. Methods We searched for relevant policy documents on COPD health management at the national level from January 2017 to December 2023, constructed a two-dimensional analysis framework for policy tools and chronic disease health management processes, coded and classified policy texts, and used content analysis method to analyze policy texts. Results Twenty-four policy texts were included. There were 183 codes for policy tool dimension, with supply based, environmental based, and demand based tools accounting for 43.72%, 47.54%, and 8.74%, respectively. There were 124 codes for the dimension of health management processes, with health information collection and management accounting for 12.10%, risk prediction accounting for 14.52%, intervention and treatment accounting for 66.13%, and follow-up and effectiveness evaluation accounting for 7.26%. Conclusions At present, the proportion of policy tools related to the management of COPD in China needs to be dynamically adjusted. Environmental tools should be appropriately reduced, the internal structure of supply tools should be optimized, the driving effect of demand tools should be comprehensively enhanced, the coupling of COPD health management processes should be strengthened, and the relevant policy system and overall quality should be continuously improved.
ObjectiveTo investigate the association between serum thyroid hormone levels and prognosis for patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) without thyroid disease, and explore the prognostic value of serum thyroid hormone levels for patients with AECOPD.MethodsThe clinical data of 239 hospitalized cases of AECOPD [149 males, 90 females, aged 42-92 (77.7±8.9) years] from January 2013 to November 2017 were retrospectively analyzed. Serum thyroid hormone levels including total tetraiodothyronin (TT4), total triiodothyronin (TT3), thyroid stimulating hormone (TSH), free tetraiodothyronin (FT4) and free triiodothyronin (FT3) were measured by chemiluminescence immunoassay. All patients were divided into a survival group and a death group according to the prognosis. Serum thyroid hormone levels were compared between two groups. Correlations of serum thyroid hormone levels with the occurrence of death in AECOPD patients were analyzed. The prognostic value of serum thyroid hormone levels for AECOPD patients was explored by receiveroperating characteristic (ROC) curve analysis. And the best cut-off value of serum thyroid hormone level in predicting the risk of death was calculated.ResultsSerum TT4, TT3, FT4 and FT3 levels in the survival group were significantly higher than those in the death group [TT4: (89.35±21.45) nmol/L vs. (76.84±21.33) nmol/L; TT3: (1.05±0.34) nmol/L vs. (0.72±0.19) nmol/L; FT4: (16.17±2.91) pmol/L vs. (14.45±2.85) pmol/L; FT3: (3.06±0.81) pmol/L vs. (2.24±0.72) pmol/L; all P<0.05]. The differences of serum TSH level between two groups were not statistically significant [0.98 (0.54-1.83)vs. 0.57 (0.31-1.84), P>0.05]. Spearman correlation analysis showed that serum TT4, TT3, FT4 and FT3 levels were significant correlated with the occurrence of death (r values were 0.226, 0.417, 0.220, 0.387, respectively, P<0.05). And there was no significant correlation between serum TSH level and the occurrence of death (P>0.05). ROC curve analysis was done between serum thyroid hormone levels (TT4, TT3, TSH, FT4 and FT3) and the occurrence of death in the AECOPD patients. The areas under ROC curve were 0.659, 0.793, 0.588, 0.655 and 0.772, respectively. Serum TT3 was the best indicator for predicting the occurrence of death. When serum TT3 level was 0.85nmol/L, the Youden index was the highest (0.486), with a sensitivity of 70.2%, and a specificity of 78.3%. It was the best cut-offl value of serum TT3 to predict the risk of death in AECOPD patients.ConculsionsSerum thyroid hormone levels are significant associated with the prognostic for AECOPD patients. There is certain value of serum thyroid hormone levels in prognostic evaluation of AECOPD patients.
Objective To investigate the risk factors of chronic obstructive pulmonary disease (COPD) combined with obstructive sleep apnea (OSA) and its relationship with apnea-hypopnea index (AHI). Methods Clinical data of 216 COPD patients with OSA were retrospectively chosen in the period from January 2016 to December 2019 in our hospital. All patients were divided into different groups according to with or without OSA and the clinical features of patients with and without OSA were compared. Multivariate analysis was used to analyze the influencing factors of COPD with OSA and the correlation between AHI and COPD with OSA was also evaluated. Results ① The age, body mass index (BMI), neck circumference, smoking index, forced expiratory volume in 1 second (FEV1), FEV1% predicted (FEV1pred), the ratio of FEV1 to the forced vital capacity of the lungs (FEV1/FVC), COPD assessment test (CAT) score, Epworth sleepiness scale (ESS) score, Charlson comorbidity index (CCI) score, sleep apnea clinical score (SACS) score and proportion of patients with essential hypertension in OSA group were significantly higher than non-OSA group (P<0.05). The course of disease and the proportion of severe COPD and GOLD grade 4 in OSA group were significantly less than non-OSA group (P<0.05). ② AHI was positively correlated with age, BMI, neck circumference, smoking index, FEV1%pred, FEV1%pred<50%, CAT score, ESS score, CCI score and SACS score (P<0.05); and negatively correlated with FEV1%pred<50% (P<0.05). ③ Multivariate analysis showed that BMI, FEV1%pred<50%, CAT score and ESS score were the independent factors of COPD patients with OSA (P<0.05). ④ The proportion of AHI<5 times/h in GOLD grade 4 was significantly higher than GOLD grade 1-3 (P<0.05). The proportion of AHI> 30 times/h in GOLD grade 4 was significantly lower than GOLD grade 1-3 (P<0.05). Conclusion The incidence of COPD with OSA was independently correlated with BMI, FEV1%pred, CAT score and ESS score; patients with severe COPD possess lower OSA risk.
ObjectiveTo investigate the establishment of rat models with chronic obstructive pulmonary disease (COPD) combined with type 2 diabetes mellitus (DM). MethodsEighty Sprague-Dawley (SD) male rats were randomly divided into four groups:COPD group (n=20), DM group (n=20), COPD combined with DM group (n=20) and normal group (n=20). COPD rats were established by cigarette smoke. Type 2 diabetes rats were modeled by streptozotocin injection. COPD combined with DM rats were modeled by cigarette smoking and streptozotocin injection at the same time. Pathological examination and blood glucose were tested after three months. ResultsBronchial epithelium was seriously shedding in COPD+DM group, with alveolar structure damaged and some alveolar fused into bullae. The blood glucose level in COPD+DM group was (27.1±1.1) mmol/L, which was statistically different from other groups (P<0.05). ConclusionRat model of COPD combined with type 2 DM could be established by cigarette smoking and streptozotocin injection, which can provide an animal model for further medical research.
Objective To investigate the relationship of pulmonary surfactant protein D( SP-D) with chronic obstructive pulmonary disease ( COPD) by measuring SP-D level in serum and lung tissue of rats with COPD.Methods The rat COPD model was established by passive smoking as well as intratracheal instillation of lipopolysaccharide ( LPS) . Thirty male SD rats were randomly divided into a control group, a LPS group, and a COPD group( n =10 in each group) . The pathologic changes of lung tissue and airway were observed under light microscope by HE staining. Emphysema changes were evaluated by mean linear intercept ( MLI) of lung and mean alveolar number ( MAN) . The level of SP-D in serum was measured by enzymelinked immunosorbent assay ( ELISA) . The expression of SP-D in lung tissue was detected by Western-blot and immunohistochemistry.Results The MLI obviously increased, and MAN obviously decreased in the COPD group compared with the control group ( Plt;0.05) . There was no significant difference in the MLI and MAN between the LPS group and the control group ( Pgt;0.05) . The serum SP-D level was ( 49.59 ±2.81) ng/mL and ( 53.21±4.17) ng/mL in the LPS group and the COPD group, which was significantly higher than that in the control group [ ( 42.14±2.52) ng/mL] ( Plt;0.05) . The expression of SP-D in lung tissue was 0.56±0.01 and 0.63±0.01 in the LPS group and the COPD group, which was also obviously ber than that in the control group ( 0.39 ±0.01) ( Plt;0.05) .Meanwhile the SP-D levels in serumand lung tissue were higher in the COPD group than those in the LPS group ( Plt;0.05) . The levels of SP-D between serum and lung tissue were positively correlated in all three groups ( r=0.93, 0.94 and 0.93, respectively, Plt;0.01) .Conclusion Both the SP-D level in serum and in lung tissue increase significantly in COPD rats and correlate well each other, which suggests that SP-D may serve as a biomarker of COPD.
ObjectiveTo explore the diagnostic efficacy of Geriatric Nutritional Risk Index (GNRI) in malnutrition of elderly patients with chronic obstructive pulmonary disease (COPD) in outpatient department. MethodsOne hundred and five elderly outpatients with COPD were enrolled in the study, and their nutritional screening was carried out. The clinical and laboratory parameters of patients in the normal nutrition group (high GNRI group) and malnutrition group (low GNRI group) were compared, and the correlation analysis was conducted. The diagnostic efficacy of GNRI was evaluated based on the malnutrition universal screening tool (MUST). ResultsThe prevalence of malnutrition was high in COPD elderly outpatients. The prevalence of malnutrition in group D was 61.8%. There were significant differences between the two groups in body mass index, serum albumin, FEV1 percentage in the predicted value, 6-minute walk distance, and the number of acute exacerbations in the past year. GNRI was significantly related to the above parameters. The sensitivity, specificity and accuracy of GNRI were 81.8%, 83.6% and 82.9%, using MUST as the standard. ConclusionGNRI can be used for nutritional screening of COPD patients in elderly outpatients, which is simple, convenient and relatively accurate, and can be popularized in other medical institutions.
Objective The purpose of this study was to explore the correlation between peripheral blood eosinophil (EOS) count and smoking history, some inflammatory indicators, lung function, efficacy of ICS, risk of respiratory failure and chronic pulmonary heart disease, risk of acute exacerbation within 1 year, readmission rate and mortality in patients with acute exacerbation of COPD. Methods Retrospective analysis of the baseline clinical data of 816 patients with acute exacerbation of chronic obstructive pulmonary disease in the Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Shihezi University from January 1,2019 to December 31,2021. The patients were divided into EOS ≥ 200 cells / μL (High Eosinophi, HE) group and EOS<200 cells / μL (low Eosinophi, LE) group according to whether the peripheral blood EOS was greater than 200 cells / μL at admission. Peripheral venous blood data (including blood eosinophil count, white blood cell count, lymphocyte percentage, neutrophil percentage), blood gas analysis value, lung function index and medication regimen of all patients were collected, and the efficacy of ICS was recorded. The patients were followed up for 1 year to observe the acute exacerbation and readmission rate, and the mortality rate was followed up for 1 year and 2 years. Results Neutrophil count, lymphocyte count and peak expiratory flow (PEF) in HE group were positively correlated with EOS value (P<0.05), and smoking was more likely to increase EOS value. HE group was more sensitive to ICS. The risk of acute exacerbation in HEA group was higher than that in LE group. ICS could reduce the rate of acute exacerbation in HE group. EOS value in LE group was inversely proportional to FEV1 / FVC and MMEF values (P<0.05). The risk of chronic pulmonary heart disease in LE group was higher than that in HE group. The 2-year mortality rate in HE group was higher than that in LE group. Conclusions Peripheral blood EOS count is correlated with some inflammatory indicators, acute exacerbation risk, and lung function. ICS can improve the clinical symptoms and prognosis of patients with higher EOS count.
Objective The purpose of the current research was to analyze the relevant risk factors for short-term death in patients with chronic obstructive pulmonary disease (COPD) and heart failure (HF), and to build a predictive nomogram. Methods We conducted a retrospective analysis of clinical data from 1 323 COPD and HF comorbidity patients who were admitted to the Affiliated Hospital of Southwest Medical University from January 2018 to January 2022. Samples were divided into survival and death groups based on whether they died during the follow-up. General data and tested index of both groups were analyzed, and the discrepant index was analyzed by single factor and multiple factor Logistic regression analysis. R software was applied to create the nomogram by visualizing the results of the regression analysis. The accuracy of the results was verified by C index, calibration curve, and ROC curve. Results The results from the multiple factor Logistic regression analysis indicated that age (OR=1.085, 95%CI 1.048 to 1.125), duration of smoking (OR=1.247, 95%CI 1.114 to 1.400), duration of COPD (OR=1.078, 95%CI 1.042 to 1.116), comorbidity with respiratory failure (OR=5.564, 95%CI 3.372 to 9.329), level of NT-proBNP (OR=1.000, 95%CI 1.000 to 1.000), level of PCT (OR=1.153, 95%CI 1.083 to 1.237), and level of D-dimer (OR=1.205, 95%CI 1.099 to 1.336) were risk factors for short-term death of COPD and HF comorbidity patients. The level of ALB (OR=0.892, 95%CI 0.843 to 0.942) was a protective factor that was used to build the predictive nomogram with the C index of 0.874, the square under the working characteristics curve of the samples of 0.874, the specify of 82.5%, and the sensitivity of 75.0%. The calibration curve indicated good predictive ability of the model. Conclusion The nomogram diagram built by the current research indicated good predictability of short-term death in COPD and HF comorbidity patients.