ABSTRACT
Background: Cigarette smoke exposure is the main preventable cause of chronic obstructive pulmonary disease (COPD). Airflow limitation is closely associated with smoking exposure. Smoking could also interfere with lipid metabolism. Aim: To determine the respiratory functional and metabolic changes after smoking cessation in smokers in the short term. Methods: All patients were current smokers. They were assessed by spirometry and questionnaires such as COPD assessment test(CAT), modified Medical Research Council (mMRC) test for dyspnea, Fagestrom's test for nicotine dependence. Exhaled CO was detected in order to evaluate smoking exposure and smoking cessation (normal value<7 ppm). A blood sampling was eventually taken for vitamin D and cholesterol assay. All patients underwent therapy with counselling and varenicline as first-line treatment according to its schedule. Detection time: at baseline and one month after smoking cessation. Results: All patients quit smoking during treatment. The mean age was 62 with a prevalence of males. The analysis revealed the following mean values at baseline: CAT mean score was 15, pack-years 35.5, Fagestrom's Test mean score 5.0. The West's value was 8.5, whereas Body mass index (BMI) was 25.5.Cigarette daily consumption mean value was 22.5. The comparison before and at follow up one month after smoking cessation about functional and metabolic parameters, show us the following results: FEV 1 was increased by 200 mL (p<0.02), FEF 25/75 was improved as well as mMRC test. The eCO was dropped to as low as 8 ppM. Interestingly the vitamin D level was increased from 25 to 28 ng/mL without any support therapy. The cholesterol total level was reduced and CAT value and DLCO were also significantly improved. Conclusion: Quit smoking is useful to improve symptoms, respiratory function and metabolic parameters in the short term.
Subject(s)
Pulmonary Disease, Chronic Obstructive , Smoking Cessation , Male , Humans , Middle Aged , Female , Pulmonary Disease, Chronic Obstructive/diagnosis , Smokers , Cholesterol , Vitamin DABSTRACT
Purpose: Lung hyperinflation is a feature of chronic obstructive pulmonary disease (COPD) and can determine pivotal consequence on symptoms, exercise tolerance and quality of life. Despite the relevance of assessing lung hyperinflation, there is still no single consensus as to what volume should be taken into account. We investigate which spirometric measurement is more reliable in assessing static lung hyperinflation and which is more related with impulse oscillometry system (IOS) measurements in COPD. Patients and Methods: Fifty-five COPD patients were enrolled. TLC, RV and RV:TLC ratio were obtained both with helium and plethysmography techniques. IOS measurements (X5, Fres and R5-R20) were performed. Pearson and Spearman correlation determined the relationships between the functional parameters that evaluate static hyperinflation (RV: TLC, TLC, RV) and IOS measurements. Results: As expected, we reported a statistically significant difference between these two techniques in terms of mean percentage values of TLC (7.57 ± 3.26 L; p= 0.02) and RV (15.24 ± 7.51 L; p=0.04), while RV:TLC measured with the two methods was similar (5.21 ± 4.69%; p=0.27). The correlation analysis showed that IOS parameters, such as difference in resistance between 5 Hz and 20 Hz (R(5-20)) and resonant frequency (Fres), were positively correlated with RV:TLC ratio, while reactance at 5 Hz (X(5)) was negatively correlated with it. In particular, we pointed out a weak correlation between RV:TLC (%) (Pleth) and R(5-20) (r=0.3, p=0.04), Fres (r=0.3; p=0.03), while X5 had a mild correlation with RV:TLC (%) (r=-0.5;p<0.0001). Moreover, we noticed a strong relationship between RV:TLC (%)(He) and X5 (r=-0.7; p=0.0001) and a mild correlation between RV:TLC (%) (He) and Fres (r=0.4; p=0.003). Between R5-R20 and RV:TLC, there was a weak correlation (r=0.3; p=0.001). No correlation between TLC, RV (L,%) (both helium and Pleth derived) and IOS parameters (R(5-20), X5, Fres) was found. Conclusion: RV:TLC can represent the most reliable parameter in the assessment of hyperinflation, considering the absence of significant difference in its measurement between the two techniques. IOS provides supplementary information in the assessment of static hyperinflation.