The Role of Mean Platelet Volume as a Predictor of Mortality in Mechanically Ventilated Patients
Sarah Abdel Fattah Ibrahim;
Abstract
M
echanical ventilation is frequently used for life support in intensive care units (ICUs). When initial attempts of spontaneous breathing fail to achieve the goal of liberation from mechanical ventilation, clinicians must choose appropriate mode(s) of ventilatory support. Different ventilatory modes may be used during weaning from mechanical ventilation. The most common ones are: pressure support ventilation (PSV), synchronized intermittent mandatory ventilation (SIMV), continuous positive airway pressure (CPAP) and spontaneous breathing witha T-tube. But, there are other modes which have a role in weaning process such as automatic tube compensation (ATC), proportional assist ventilation (PAV), servocontrolled ventilation and adaptive support ventilation (ASV) (Krmpotic and Lobos, 2013).
echanical ventilation is frequently used for life support in intensive care units (ICUs). When initial attempts of spontaneous breathing fail to achieve the goal of liberation from mechanical ventilation, clinicians must choose appropriate mode(s) of ventilatory support. Different ventilatory modes may be used during weaning from mechanical ventilation. The most common ones are: pressure support ventilation (PSV), synchronized intermittent mandatory ventilation (SIMV), continuous positive airway pressure (CPAP) and spontaneous breathing witha T-tube. But, there are other modes which have a role in weaning process such as automatic tube compensation (ATC), proportional assist ventilation (PAV), servocontrolled ventilation and adaptive support ventilation (ASV) (Krmpotic and Lobos, 2013).
Other data
| Title | The Role of Mean Platelet Volume as a Predictor of Mortality in Mechanically Ventilated Patients | Other Titles | دور متوسط حجم الصفائح الدموية باعتباره مؤشراً للوفيات في مرضى الجهاز التنفس الصناعي | Authors | Sarah Abdel Fattah Ibrahim | Issue Date | 2020 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| BB2020.pdf | 456.52 kB | Adobe PDF | View/Open |
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