Abstract
Background: FEV1/FVC value is used in the diagnosis of obstructive and restrictive diseases of the lung. It is a parameter reported in the literature that it varies according to lung disease as well as weight, age and gender characteristics. The aim of this study is to investigate the relationship between age, weight, gender and height characteristics and FEV1/FVC value using a heterogeneous population using Gaussian mixture regression method. Material and Methods: GMR was used to separate the data into components and to make a parameter estimation for each component. The analysis performed on this model revealed that the patients were divided into 5 optimal groups and that these groups showed a regular transition from obstructive pattern to restrictive pattern. Results: The mean values of the components for FEV1/FVC were found as 50.071 (3.238), 67.034 (1.725), 82.156 (1.329), 93.592 (1.041), 98.466 (0.303), respectively. The effect of the weight on the components in terms of parameter estimation and standard errors of the components was determined as 0.445 (0.129) **, 0.226 (0.053) **, 0.173 (0.053) **, -0.036 (0.026), -0.040 (0.018) *, respectively. Conclusion: Direct proportional relationship between the patient's weight and the severity of the obstructive pattern, and between the severity of the disease and the age of the patient in both the obstructive and restrictive pattern are expilicitly proved. Furthermore, it has been revealed that data sets containing heterogeneity can be analyzed by dividing them into sub-components using the GMR model.
Highlights
Pulmonary function test (PFT) is diagnostic for obstructive pulmonary diseases (such as asthma, Chronic Obstructive Pulmonary Disease (COPD), restrictive lung diseases and extra-thoracic airway stenosis [1]
The aim of this study is to investigate the relationship between age, weight, gender, and height variables with FEV1/ FVC values in a heterogeneous population using gaussian mixture regression method and summarize all data with a multivariate statistical method
We can say that the relationship between FEV1/ FVC value and weight is greater than with other variables, in terms of the characteristics we examine the relationships in our study population
Summary
Pulmonary function test (PFT) is diagnostic for obstructive pulmonary diseases (such as asthma, Chronic Obstructive Pulmonary Disease (COPD), restrictive lung diseases (parenchymal diseases, respiratory muscles, chest wall diseases, pulmonary edema, congestive heart failure) and extra-thoracic airway stenosis (trachea obstruction, vocal cord paralysis) [1]. Forced expiratory volume in 1 second (FEV1) and the forced vital capacity (FVC) ratio (FEV1/FVC), is a parameter measured in the PFT, used for the diagnosis of respiratory system diseases. FEV1/FVC, especially in the separation of obstructive and restrictive diseases of the lung is the most important parameter used PFT [3]. FEV1 (Forced expiratory volume in 1 second) and FVC (Forced vital capacity) are two of the values measured during PFT. FEV1/FVC value is used in the diagnosis of obstructive and restrictive diseases of the lung It is a parameter reported in the literature that it varies according to lung disease as well as weight, age and gender characteristics. Objective: The aim of this study is to investigate the relationship between age, weight, gender and height characteristics and FEV1/ FVC value using a heterogeneous population using Gaussian mixture regression method.
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