Related Experiment Videos
Crisis management during anaesthesia: pulmonary oedema
M J Chapman1, J A Myburgh, M T Kluger
1Intensive Care Unit, Royal Adelaide Hospital, and University of Adelaide, Adelaide, South Australia, Australia.
Quality & Safety in Health Care
|June 4, 2005
Summary
Perioperative pulmonary oedema management is improved with a structured algorithm. A specific sub-algorithm for pulmonary oedema, when applied correctly, effectively manages this complication during anesthesia.
Area of Science:
- Anesthesiology
- Critical Care Medicine
- Respiratory Medicine
Background:
- Pulmonary oedema can occur during the perioperative period with varying etiologies compared to non-operative patients.
- Diagnosis of pulmonary oedema during anesthesia is challenging, potentially leading to delayed management.
- Early recognition and intervention are crucial for managing perioperative pulmonary oedema.
Purpose of the Study:
- To evaluate a core algorithm, "COVER ABCD-A SWIFT CHECK," augmented with a specific pulmonary oedema sub-algorithm.
- To assess the algorithm's effectiveness in managing perioperative pulmonary oedema associated with anesthesia.
- To improve diagnostic and management strategies for this critical condition.
Main Methods:
- The study analyzed the first 4000 incident reports from the Australian Incident Monitoring Study (AIMS).
- The performance of the structured algorithm was compared against the actual management of pulmonary oedema cases.
- A specific sub-algorithm was developed and tested retrospectively against reported incidents.
Main Results:
- Pulmonary oedema was reported in 35 (<1%) of 4000 AIMS incidents.
- Hypoxia was the most common sign (46%), while frothy sputum was the most specific (23%).
- The core algorithm was insufficient for ongoing management; however, the specific sub-algorithm proved effective in most cases.
Conclusions:
- A structured approach utilizing a core algorithm and a specific sub-algorithm enhances recognition and management of perioperative pulmonary oedema.
- The proposed algorithm offers a systematic method for addressing this perioperative complication.
- Effective application of the algorithm is key to successful patient outcomes.