Airflow Characteristics of Lower Respiratory Tract in Patients with Chronic Obstructive Pulmonary Disease under Different Motion States
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    Abstract:

    Objective To investigate characteristics of the airflow in lower respiratory tract for patient with chronic obstructive pulmonary disease (COPD) under different motion states using computational fluid dynamics (CFD) method. Methods The CT scanning data and pulmonary function data of COPD patients were collected to reconstruct the three-dimensional (3D) model of lower respiratory tract. The numerical simulation was performed by applying individualized boundary conditions, so as to analyze parameters such as wall pressure, wall shear stress ( WSS), flow rate and pressure drop in lower respiratory tract of the patient. Results With exercise intensity increasing, the wall pressure, WSS, flow velocity and pressure drop of lower respiratory tract in COPD patients gradually increased. The differences in parameters between the resting state and low-intensity exercisestate were small, while such parameters under high-intensity exercise state increased significantly. Among the parameters, WSS was a sensitive mechanical parameter, and the area occupied by WSS>1. 0 Pa was 272. 35, 438. 24, 4 369. 48 mm2 under three motion states, respectively. Conclusions The airway wall pressure, WSS, flow velocity and pressure drop of COPD patients under motion states are significantly increased, which increases the possibility of mucosal injury and inflammation in lower respiratory tract. The results explain the mechanism of bronchial inflammation in COPD patients and the reasons why patients cannot exercise for a long time from the mechanical perspective.

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CHENG Zhiguo, CHEN Xiaoqin, HUANG Chengdu, ZHONG Yan, MING Zhaokai, CHEN Guangxin, ZHOU Zhizun. Airflow Characteristics of Lower Respiratory Tract in Patients with Chronic Obstructive Pulmonary Disease under Different Motion States[J]. Journal of medical biomechanics,2023,38(4):677-682

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History
  • Received:August 22,2022
  • Revised:September 02,2022
  • Adopted:
  • Online: August 25,2023
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