Adoption of Ultrasonography in Hemodynamic Diagnosis and Monitoring of Severe Respiratory Diseases

To enhance the clinical diagnosis rate of acute respiratory distress syndrome (ARDS) and provide a reliable basis for follow-up treatment, in this research, the hemodynamic indexes of patients with severe respiratory diseases are monitored by ultrasonic imaging. A total of 64 patients with ARDS in the department of respiratory medicine of XXX hospital from June 2018 to December 2018 are listed as study subjects (including 45 males and 19 females), and are divided into control group (CG) and experimental group (EG) in random. In the CG, central venous pressure is used to detect the patients, while in the EP, ultrasonic imaging is used to detect the patients, and the ultrasonic image is denoised by wavelet transform. Respiratory parameters (respiratory rate, oxygenation index, and positive end-expiratory pressure ventilation) and hemodynamic parameters (heart rate, mean arterial pressure, pulmonary static compliance, and airway plateau pressure) are compared on the first and 10th day of admission. The fluid volume of the two groups of patients was managed according to the hemodynamic parameters. After three months, the prognosis (duration of ICU treatment, duration of mechanical ventilation, incidence of heart failure and mortality) of the patients in both groups were calculated. The results show that wavelet transform can effectively reduce the noise of ultrasonic images, so as to obtain real and reliable data. Compared with the first day of admission, respiratory parameters and hemodynamics of the patient change significantly after 10 days (P < 0.05). The average daily fluid intake in the EP is significantly lower than that in the CG (P < 0.05). The duration of treatment in ICU and mechanical ventilation in the EG is significantly lower than that in the CG (P < 0.05), which indicates that ultrasonic imaging can detect and diagnose the hemodynamics of patients, thus providing reliable guidance for patients’ fluid management and avoiding patients’ cardiac failure induced by fluid overload. This provides an experimental scheme for hemodynamic monitoring of patients with severe respiratory system.