Obstructive Lung Diseases: COPD Phenotypes |

Based on the Principal Component Analysis Method to Verify the COPD Development “Fast” and “Slow” Judgment Standard FREE TO VIEW

Tang Xiaoli
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The Fourth Affiliated Hospital, Xinjiang Medical University in China, Urumqi City, China

Copyright 2016, American College of Chest Physicians. All Rights Reserved.

Chest. 2016;149(4_S):A394. doi:10.1016/j.chest.2016.02.409
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SESSION TYPE: Original Investigation Poster

PRESENTED ON: Saturday, April 16, 2016 at 11:45 AM - 12:45 PM

PURPOSE: Using principal component analysis method to verify the standard to judge COPD's development fast and slow.

METHODS: Using a cross-sectional study in the early stage of COPD development “fast” and “slow”, data were selected from Autonomous Region Hospital of traditional Chinese Medicine Department of respiration hospital department, there was 93 cases was collected. Collect each patient gender, age, smoking status, body mass index (BMI), degree of dyspnea, complications and other data, the detection of FEV1%, FEVI/FVC% and HRCT expression in pulmonary emphysema visual score in the two groups of patients. We uses descriptive analysis, Univariate analysis, multivariate logistic regression analysis, principal component analysis (PCA) to describe and analysis.

RESULTS: 1Average age of the patients in fast process is: 63.11±11.22, the average age of the slow process of the patients was: 68.93±10.37; there was statistical significance in two groups; 2COPD fast process group, hypertension, heart disease, is higher than the slow process of COPD patients (P<0.05); 3The fast process group was significantly lower than that in the FEV1 group (P<0.05), the slow process of fast process group is significantly lower than the slow process of the ratio of FEV1/FVC group (P< 0.05). At the same time found that dyspnea index fast process group patients is higher than that of slow process group (P<0.05); the probability of a family genetic history exhibition group was significantly higher than that in the fast forward to slow progress of the group (P<0.05); 4The study of principal component analysis showed, fast, slow process of sequential evaluation index should be chosen as the: six minute walk test, course of disease, FEV1, dyspnea index, time of day, the acute exacerbation of FEV1/FVC, CAT score, hypertension, the annual Times of acute exacerbation, family history, heart disease, years, times of hospitalization; logistic regression analysis showed that the difficulty in breathing, heart disease. Compared with the result of Delphi method, principal component analysis and Delphi method results in the most similar conclusion.

CONCLUSIONS: 1 The Delphi method with the conclusions of this study are the main influencing factors are consistent; 2 There is a correlation between the grouping factors, can consider to delete some indicators; 3 Family history of complications can be used as a judgment index, the accuracy will help to improve the evaluation.

CLINICAL IMPLICATIONS: To provide a basis for optimizating the standard of COPD’s development fast and slow.

DISCLOSURE: Tang Xiaoli: Other: The Xinjiang Uygur Autonomous Region science and technology innovation team training construction project

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