Objective To investigate the application value of montelukast in patients with stable chronic obstructive pulmonary disease (COPD).Methods 64 patients with stable COPD in Jinqiu Hospital of Liaoning Province from December 2015 to December 2016 were randomly divided into observation group and control group according to the digital table,32 cases in each group.The two groups were given routine treatment,including cough,phlegm,oxygen therapy,smoking cessation,rehabilitation treatment,regular use of long-acting bronchodilators,on this basis,the observation group was treated with montelukast sodium.After 12 weeks of treatment,the patients were assessed for airway improvement and quality of life before and after treatment,and recorded the two groups of acute exacerbation and adverse drug reactions.Results The two groups had improved lung function and quality of life after treatment,but after treatment,the FEV1,FVC and FEV1 actual/FEV1 prediction of the observation group were significantly higher than those of the control group,the differences were statistically significant (t =2.49,1.77,1.85 all P ＜ 0.05).After treatment,the 6 minutes walking distance of the observation group was longer than that of the control group,Borg score of the observation group was lower than that of the control group,the differences were statistically significant (t =1.83,6.66,all P ＜0.05).After treatment,the SGRQ score in the observation group was lower than that of the control group,the difference was statistically significant[(51.15 ± 3.14)points vs.(54.83 ± 4.03)points,t =3.94,P ＜ 0.01].Conclusion Montelukast can effectively improve the stability of COPD pulmonary function and quality of life,and with high safety.

Objective To develop and validate a fatigue risk nomogram model in Chronic Obstructive Pulmonary Disease(COPD)patients.Methods A prospective study design was adopted,and 430 COPD patients recruited from a tertiary A hospital in Huzhou City from January to December 2022 were conveniently selected for model construction,and 129 patients were recruited from the same hospital from January to June 2023 for external validation of the model.The general information questionnaire,Pittsburgh Sleep Quality Index,2-item Generalized Anxiety Disorder Scale,2-item Patient Health Questionnaire,modified British Medical Research Council Dyspnea Index,International Physical Activity Questionnaire,and Fatigue Severity Scale were used for questionnaire survey.The risk prediction model and nomograms model were constructed using Logistic regression analysis and R 4.3.2 software,and the area under the receiver operating characteristic(ROC)curve was used to test the prediction effect of the model.Results Univariate and binary logistic regression analysis results showed that age(OR=1.095),gender(OR=2.077),dyspnea(OR=3.309),sleep quality(OR=1.979),anemia(OR=3.289),the number of acute exacerbation(OR=2.991)were independent influencing factors for fatigue in COPD patients.The internal evaluation and external validation results of the model showed that the areas under the curve are 0.912 and 0.844 respectively,and the Hosmer-Lemeshow goodness of fit test P values were 0.806 and 0.526 respectively.The average absolute errors were 0.013 and 0.019 respectively.Conclusion The COPD fatigue risk prediction model constructed in this study has good prediction effect.The visual nomogram is intuitive,convenient and easy to operate.It can provide a tool for early screening of fatigue in COPD patients.