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Automatic protective ventilation using the ARDSNet protocol with the additional monitoring of electrical impedance tomography.

Pomprapa A, Schwaiberger D, Pickerodt P, Tjarks O, Lachmann B, Leonhardt S - Crit Care (2014)

Bottom Line: Automatic ventilation for patients with respiratory failure aims at reducing mortality and can minimize the workload of clinical staff, offer standardized continuous care, and ultimately save the overall cost of therapy.However, the automated protocol-driven ventilation was able to solve these problems.Additionally, regional ventilation was monitored by EIT for the evaluation of ventilation in real-time at bedside with one prominent case of pneumothorax.

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ABSTRACT

Introduction: Automatic ventilation for patients with respiratory failure aims at reducing mortality and can minimize the workload of clinical staff, offer standardized continuous care, and ultimately save the overall cost of therapy. We therefore developed a prototype for closed-loop ventilation using acute respiratory distress syndrome network (ARDSNet) protocol, called autoARDSNet.

Methods: A protocol-driven ventilation using goal-oriented structural programming was implemented and used for 4 hours in seven pigs with lavage-induced acute respiratory distress syndrome (ARDS). Oxygenation, plateau pressure and pH goals were controlled during the automatic ventilation therapy using autoARDSNet. Monitoring included standard respiratory, arterial blood gas analysis and electrical impedance tomography (EIT) images. After 2-hour automatic ventilation, a disconnection of the animal from the ventilator was carried out for 10 seconds, simulating a frequent clinical scenario for routine clinical care or intra-hospital transport.

Results: This pilot study of seven pigs showed stable and robust response for oxygenation, plateau pressure and pH value using the automated system. A 10-second disconnection at the patient-ventilator interface caused impaired oxygenation and severe acidosis. However, the automated protocol-driven ventilation was able to solve these problems. Additionally, regional ventilation was monitored by EIT for the evaluation of ventilation in real-time at bedside with one prominent case of pneumothorax.

Conclusions: We implemented an automatic ventilation therapy using ARDSNet protocol with seven pigs. All positive outcomes were obtained by the closed-loop ventilation therapy, which can offer a continuous standard protocol-driven algorithm to ARDS subjects.

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Flowchart for automatic ventilation using the ARDSNet protocol. ARDSNet, Acute Respiratory Distress Syndrome Network; FiO2, fraction of inspired oxygen; I:E ratio, inspiratory–expiratory ratio; PEEP, positive end-expiratory pressure; RR, respiratory rate; VT, tidal volume.
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Figure 1: Flowchart for automatic ventilation using the ARDSNet protocol. ARDSNet, Acute Respiratory Distress Syndrome Network; FiO2, fraction of inspired oxygen; I:E ratio, inspiratory–expiratory ratio; PEEP, positive end-expiratory pressure; RR, respiratory rate; VT, tidal volume.

Mentions: The protocol can be effectively developed by goal-oriented structural programming. The overall complexity of the protocol is simplified by a task-based programming structure, presented in Figure 1. This structure increases efficiency in coding the program.


Automatic protective ventilation using the ARDSNet protocol with the additional monitoring of electrical impedance tomography.

Pomprapa A, Schwaiberger D, Pickerodt P, Tjarks O, Lachmann B, Leonhardt S - Crit Care (2014)

Flowchart for automatic ventilation using the ARDSNet protocol. ARDSNet, Acute Respiratory Distress Syndrome Network; FiO2, fraction of inspired oxygen; I:E ratio, inspiratory–expiratory ratio; PEEP, positive end-expiratory pressure; RR, respiratory rate; VT, tidal volume.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4230798&req=5

Figure 1: Flowchart for automatic ventilation using the ARDSNet protocol. ARDSNet, Acute Respiratory Distress Syndrome Network; FiO2, fraction of inspired oxygen; I:E ratio, inspiratory–expiratory ratio; PEEP, positive end-expiratory pressure; RR, respiratory rate; VT, tidal volume.
Mentions: The protocol can be effectively developed by goal-oriented structural programming. The overall complexity of the protocol is simplified by a task-based programming structure, presented in Figure 1. This structure increases efficiency in coding the program.

Bottom Line: Automatic ventilation for patients with respiratory failure aims at reducing mortality and can minimize the workload of clinical staff, offer standardized continuous care, and ultimately save the overall cost of therapy.However, the automated protocol-driven ventilation was able to solve these problems.Additionally, regional ventilation was monitored by EIT for the evaluation of ventilation in real-time at bedside with one prominent case of pneumothorax.

View Article: PubMed Central - HTML - PubMed

ABSTRACT

Introduction: Automatic ventilation for patients with respiratory failure aims at reducing mortality and can minimize the workload of clinical staff, offer standardized continuous care, and ultimately save the overall cost of therapy. We therefore developed a prototype for closed-loop ventilation using acute respiratory distress syndrome network (ARDSNet) protocol, called autoARDSNet.

Methods: A protocol-driven ventilation using goal-oriented structural programming was implemented and used for 4 hours in seven pigs with lavage-induced acute respiratory distress syndrome (ARDS). Oxygenation, plateau pressure and pH goals were controlled during the automatic ventilation therapy using autoARDSNet. Monitoring included standard respiratory, arterial blood gas analysis and electrical impedance tomography (EIT) images. After 2-hour automatic ventilation, a disconnection of the animal from the ventilator was carried out for 10 seconds, simulating a frequent clinical scenario for routine clinical care or intra-hospital transport.

Results: This pilot study of seven pigs showed stable and robust response for oxygenation, plateau pressure and pH value using the automated system. A 10-second disconnection at the patient-ventilator interface caused impaired oxygenation and severe acidosis. However, the automated protocol-driven ventilation was able to solve these problems. Additionally, regional ventilation was monitored by EIT for the evaluation of ventilation in real-time at bedside with one prominent case of pneumothorax.

Conclusions: We implemented an automatic ventilation therapy using ARDSNet protocol with seven pigs. All positive outcomes were obtained by the closed-loop ventilation therapy, which can offer a continuous standard protocol-driven algorithm to ARDS subjects.

Show MeSH
Related in: MedlinePlus