Clinical InvestigationPulmonary Function Parameters in High-resolution Computed Tomography Phenotypes of Chronic Obstructive Pulmonary Disease
Section snippets
Study Population
A total of 63 stable COPD patients presenting beyond 40 years old were recruited from the outpatient clinic of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, from October 2012 to September 2013. Diagnosis was made according to the Global Initiative for Chronic Obstructive Lung Disease Guidelines (GOLD).9 The study was approved by the Ethics Boards of Ruijin Hospital, and all subjects gave written informed consent before participating. Patients were excluded if they had a
Demographics and HRCT Phenotypes
A total of 63 patients with COPD (average age: 69 years; 43 male/20 female) were classified into 3 groups based on the HRCT findings, that is, phenotype A group (21 cases), phenotype E (20 cases) and phenotype M (22 cases) (Table 1).
Ages were not significantly different among the 3 phenotypes (P > 0.05). As for gender difference, there was a higher proportion of females (13/21) in phenotype A than phenotype E (3/20) and phenotype M (4/22) (P = 0.002). Higher BMI was found in patients in
DISCUSSION
Until now, FEV1 and its ratio to FVC have been the gold standard for assessment of COPD for it is the most reproducible standard and objective way of measuring airflow limitations.21 But pulmonary function is influenced by age, sex, height and ethnicity. Therefore, there are limitations in the classification of COPD severity according to FEVi only.22., 23., 24. Furthermore, our results also showed that it is impossible to clarify the pathologic basis at the same degree of FEV1 level.
Clinically,
CONCLUSIONS
In summary, the results of this study provided evidence that different features of pulmonary function parameters related with various HRCT phenotypes, which reflects the pathologic basis, MEF50/MEF25 ratio could imply phenotype A for chronic bronchitis, whereas RV/TLC% may be the indicator of phenotype E for emphysema.
ACKNOWLEDGMENTS
The authors acknowledge Wei Min Chai for HRCT analysis support.
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Supported by “Clinical Medicine Research Fund” (07010210029) from the Chinese Medical Association.
The authors have no conflicts of interest to disclose.