Dataset Information

Pre-hospital advanced airway management by experienced anaesthesiologists: a prospective descriptive study.

ABSTRACT:

Introduction

We report data from the first Utstein-style study of physician-provided pre-hospital advanced airway management.

Materials and methods

Anaesthesiologists from eight pre-hospital critical care teams in the Central Denmark Region (a mixed rural and urban region with 1.27 million inhabitants) prospectively registered data according to the template for reporting data from pre-hospital advanced airway management. Data collection took place from February 1st 2011 to October 31st 2012. Included were patients of all ages on whom pre-hospital advanced airway management was performed. The objective was to estimate the incidences of failed and difficult pre-hospital endotracheal intubation, and complications related to pre-hospital advanced airway management.

Results

The overall incidence of successful pre-hospital endotracheal intubation among 636 intubation attempts was 99.7%, even though 22.4% of pre-hospital endotracheal intubations required more than one intubation attempt. The overall incidence of complications related to pre-hospital advanced airway management was 7.9%. Following rapid sequence intubation, the incidence of first pass success was 85.8%, the overall incidence of complications was 22.0%, the incidence of hypotension 7.3% and that of hypoxia 5.3%. Multiple endotracheal intubation attempts were associated with an increased overall incidence of complications. No airway management related deaths occurred.

Discussion

The overall incidence of successful pre-hospital endotracheal intubations compares to those found in other physician-staffed pre-hospital systems. The incidence of pre-hospital endotracheal intubations requiring more than one attempt is higher than suspected. The incidence of hypotension or hypoxia after pre-hospital rapid sequence intubation compares to those found in UK emergency departments.

Conclusion

Pre-hospital advanced airway management including pre-hospital endotracheal intubation performed by experienced anaesthesiologists is associated with high success rates and relatively low incidences of complications. An increased first pass success rate following pre-hospital endotracheal intubation may further reduce the incidence of complications and enhance patient safety in our system.

SUBMITTER: Rognas L

PROVIDER: S-EPMC3733626 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

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Publications

Pre-hospital advanced airway management by experienced anaesthesiologists: a prospective descriptive study.

Rognås Leif L Hansen Troels Martin TM Kirkegaard Hans H Tønnesen Else E

Scandinavian journal of trauma, resuscitation and emergency medicine 20130725

<h4>Introduction</h4>We report data from the first Utstein-style study of physician-provided pre-hospital advanced airway management.<h4>Materials and methods</h4>Anaesthesiologists from eight pre-hospital critical care teams in the Central Denmark Region (a mixed rural and urban region with 1.27 million inhabitants) prospectively registered data according to the template for reporting data from pre-hospital advanced airway management. Data collection took place from February 1st 2011 to October ...[more]

PMID: 23883447

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Project description:IntroductionWe report prospectively recorded observational data from consecutive cases in which the attending pre-hospital critical care anaesthesiologist considered performing pre-hospital advanced airway management but decided to withhold such interventions.Materials and methodsAnaesthesiologists from eight pre-hospital critical care teams in the Central Denmark Region (a mixed rural and urban region with 1.27 million inhabitants) registered data from February 1st 2011 to October 31st 2012. Included were patients of all ages for whom pre-hospital advanced airway management were considered but not performed. The main objectives were to investigate (1) the pre-hospital critical care anaesthesiologists' reasons for considering performing pre-hospital advanced airway management in this group of patients (2) the pre-hospital critical care anaesthesiologists' reasons for not performing pre-hospital advanced airway management (3) the methods used to treat these patients (4) the incidence of complications related to pre-hospital advanced airway management not being performed.ResultsWe registered data from 1081 cases in which the pre-hospital critical care anaesthesiologists' considered performing pre-hospital advanced airway management. The anaesthesiologists decided to withhold pre-hospital advanced airway management in 32.1% of these cases (n =?347). In 75.1% of these cases (n =?257) pre-hospital advanced airway management were withheld because of the patient's condition and in 30.8% (n =?107) because of patient co-morbidity. The most frequently used alternative treatment was bag-mask ventilation, used in 82.7% of the cases (n =?287). Immediate complications related to the decision of not performing pre-hospital advanced airway management occurred in 0.6% of the cases (n =?2).ConclusionWe have illustrated the complexity of the critical decision-making associated with pre-hospital advanced airway management. This study is the first to identify the most common reasons why pre-hospital critical care anaesthesiologists sometimes choose to abstain from pre-hospital advanced airway management as well as the alternative treatment methods used.

Project description:BackgroundPre-hospital advanced airway management with oxygenation and ventilation may be vital for managing critically ill or injured patients. To improve pre-hospital critical care and develop evidence-based guidelines, research on standardised high-quality data is important. We aimed to identify which airway data were most important to report today and to revise and update a previously reported Utstein-style airway management dataset.MethodsWe recruited sixteen international experts in pre-hospital airway management from Australia, United States of America, and Europe. We used a five-step modified nominal group technique to revise the dataset, and clinical study results from the original template were used to guide the process.ResultsThe experts agreed on a key dataset of thirty-two operational variables with six additional system variables, organised in time, patient, airway management and system sections. Of the original variables, one remained unchanged, while nineteen were modified in name, category, definition or value. Sixteen new variables were added. The updated dataset covers risk factors for difficult intubation, checklist and standard operating procedure use, pre-oxygenation strategies, the use of drugs in airway management, airway currency training, developments in airway devices, airway management strategies, and patient safety issues not previously described.ConclusionsUsing a modified nominal group technique with international airway management experts, we have updated the Utstein-style dataset to report standardised data from pre-hospital advanced airway management. The dataset enables future airway management research to produce comparable high-quality data across emergency medical systems. We believe this approach will promote research and improve treatment strategies and outcomes for patients receiving pre-hospital advanced airway management.Trial registrationThe Regional Committee for Medical and Health Research Ethics in Western Norway exempted this study from ethical review (Reference: REK-Vest/2017/260).

Project description:INTRODUCTION: The ability of standard operating procedures to improve pre-hospital critical care by changing pre-hospital physician behaviour is uncertain. We report data from a prospective quality control study of the effect on pre-hospital critical care anaesthesiologists' behaviour of implementing a standard operating procedure for pre-hospital controlled ventilation. MATERIALS AND METHODS: Anaesthesiologists from eight pre-hospital critical care teams in the Central Denmark Region prospectively registered pre-hospital advanced airway-management data according to the Utstein-style template. We collected pre-intervention data from February 1st 2011 to January 31st 2012, implemented the standard operating procedure on February 1st 2012 and collected post intervention data from February 1st 2012 until October 31st 2012. We included transported patients of all ages in need of controlled ventilation treated with pre-hospital endotracheal intubation or the insertion of a supraglottic airways device. The objective was to evaluate whether the development and implementation of a standard operating procedure for controlled ventilation during transport could change pre-hospital critical care anaesthesiologists' behaviour and thereby increase the use of automated ventilators in these patients. RESULTS: The implementation of a standard operating procedure increased the overall prevalence of automated ventilator use in transported patients in need of controlled ventilation from 0.40 (0.34-0.47) to 0.74 (0.69-0.80) with a prevalence ratio of 1.85 (1.57-2.19) (p?=?0.00). The prevalence of automated ventilator use in transported traumatic brain injury patients in need of controlled ventilation increased from 0.44 (0.26-0.62) to 0.85 (0.62-0.97) with a prevalence ratio of 1.94 (1.26-3.0) (p?=?0.0039). The prevalence of automated ventilator use in patients transported after return of spontaneous circulation following pre-hospital cardiac arrest increased from 0.39 (0.26-0.48) to 0.69 (0.58-0.78) with a prevalence ratio of 1.79 (1.36-2.35) (p?=?0.00). CONCLUSION: We have shown that the implementation of a standard operating procedure for pre-hospital controlled ventilation can significantly change pre-hospital critical care anaesthesiologists' behaviour.

Dataset Information

Pre-hospital advanced airway management by experienced anaesthesiologists: a prospective descriptive study.

Introduction

Materials and methods

Results

Discussion

Conclusion

Publications

Pre-hospital advanced airway management by experienced anaesthesiologists: a prospective descriptive study.

Similar Datasets

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