Affiliation:
1. Department of Ultrasound The First Affiliated Hospital, Shihezi University Shihezi China
2. School of Medicine Shihezi University Shihezi China
3. Department of Respiratory Medicine The First Affiliated Hospital, Shihezi University Shihezi China
4. Department of Critical Care Medicine The First Affiliated Hospital, Shihezi University Shihezi China
Abstract
AbstractObjectiveTo evaluate the early changes in left ventricular (LV) in patients with chronic obstructive pulmonary disease (COPD) by measuring tissue motion mitral annulus displacement (TMAD) and three‐dimensional (3D) parameters using speckle tracking imaging (STI), and to explore its correlation with lung function.MethodsForty two COPD patients (GOLD I, GOLD II, GOLD III) and 30 healthy individuals (control group) were included. STI was used to assess the changes in LV structure and systolic function. Receiver operating characteristic (ROC) curves were drawn, and correlations among TMAD parameters, LV systolic function, structural, pulmonary artery systolic pressure (PASP), and lung function were analyzed.ResultsCompared to the control group, COPD patients were able to undergo LV remodeling, with a decrease in the absolute value of global longitudinal strain (GLS) and TMAD, but no significant modification of LVEF. Correlation analysis showed that TMAD was positively related to the absolute value of GLS (r > 0.51, P < 0.01) and predicted forced expiratory volume in the first second (FEV1%) (r > 0.56, P < 0.01), and negatively to PASP (r < −0.52, P < 0.01). The LV posterior wall thickness (LVPWd), relative wall thickness (RWT), end‐diastolic volume (LVEDV) and PASP negatively correlated with FEV1%.ConclusionThe LV geometric changes and systolic function impairment in COPD patients were found to correlate with airflow restriction (FEV1%). TMAD aided in detection of early changes in LV systolic function in COPD patients. It negatively correlated with PASP and positively with FEV1%. Moreover, it was more convenient than GLS.
Funder
National Natural Science Foundation of China
Subject
Radiology, Nuclear Medicine and imaging
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