Document Type : Original Article (s)
Authors
1
ICU Specialist Assistant, Department of Anesthesiology and Special Care, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2
Assistant Professor, Department of Anesthesiology and Special Care, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3
Associate Professor, Department of Anesthesiology and Special Care, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract
Background: Due to the occurrence of respiratory failure in patients with COVID-19, the need to use mechanical ventilation to save the lives of patients and improve the clinical conditions of patients hospitalized in the intensive care unit has also become common. In this study, SIMV and PRVC modes of mechanical ventilation have been compared and analyzed on hemodynamics parameters and oxygenation of COVID-19 patients hospitalized in the intensive care unit.
Methods: In this study, which was conducted using the time series method, there were patients with COVID-19, who were admitted and treated for respiratory failure in the special care department of Al-Zahra Educational-Treatment Centers from January 1, 2019, to the end of June 1400 AH. They were under mechanical ventilation in one of the two groups with one of the modalities of PRVC, SIMV. Patients underwent periodic visits and were followed up for 48 hours after intubation.
Findings: The obtained results show that the hemodynamic stability and oxygenation parameters in PRVC mode are higher than in SIMV mode, while the complications of SIMV mechanical breathing mode show higher values compared to PRVC mode.
Conclusion: Hemodynamic parameters in patients with severe respiratory symptoms with COVID-19 who were admitted to the intensive care unit and were under mechanical ventilation with PRVC mode were more stable compared to the SIMV group. The frequency distribution of complications of mechanical ventilation in the SIMV group was significantly higher than in the PRVC group.
Highlights
Saeed Akbari: Google Scholar, PubMed
Mohammad Reza Habibzadeh: Google Scholar, PubMed
Amir Shafa: Google Scholar, PubMed
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Main Subjects