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Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine logoLink to Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
. 2015 Jun 6;23:43. doi: 10.1186/s13049-015-0124-0

Difficult intubation and outcome after out-of-hospital cardiac arrest: a registry-based analysis

Jan Wnent 1,✉,#, Rüdiger Franz 2,#, Stephan Seewald 3, Rolf Lefering 4, Matthias Fischer 5, Andreas Bohn 6,7, Jörg W Walther 8, Jens Scholz 3, Roman-Patrik Lukas 7, Jan-Thorsten Gräsner 3; the German Resuscitation Registry Study Group
PMCID: PMC4457979  PMID: 26048574

Abstract

Background

Airway management during resuscitation attempts is pivotal for treating hypoxia, and endotracheal intubation is the standard procedure. This German Resuscitation Registry analysis investigates the influence of airway management on primary outcomes after out-of-hospital cardiac arrest, in a physician-based emergency system.

Methods

A total of 8512 patients recorded in the German Resuscitation Registry (2007–2011) were analyzed. The Return of Spontaneous Circulation After Cardiac Arrest (RACA) score was used to compare observed return of spontaneous circulation (ROSC) rates with the ROSC predicted by the score and to analyze factors influencing the primary outcome. Patients were classified into three groups: difficult intubation, impossible intubation, and a control group with normal airways.

Results

The observed ROSC matched the predicted ROSC in the group with difficult airways. The impossible intubation group had lower ROSC rates (31.3 % vs. 40.5 %; P < 0.05). Impossible intubation was more frequent in men (OR 2.28; 95 % CI, 1.43–3.63; P = 0.001), young patients (OR 2.18; 95 % CI, 1.26–3.76; P = 0.005) and those with trauma (OR 2.22; 95 % CI, 1.01–4.85; P = 0.046). Fewer impossible intubations were reported when the emergency physicians were anesthesiologists (OR 0.65; 95 % CI, 0.44–0.96; P = 0.028). If a supraglottic airway device was not used in the impossible intubation group, the observed ROSC (18.0 %; 95 % CI, 7.4–28.6 %) was poorer than predicted (38.2 %) (P < 0.05).

Conclusions

Outcomes after resuscitation attempts are poorer when endotracheal intubation is not possible. Predictive factors for impossible intubation are male gender, younger age, and trauma. Supraglottic airway devices should be used at an early stage whenever these negative factors are present.

Electronic supplementary material

The online version of this article (doi:10.1186/s13049-015-0124-0) contains supplementary material, which is available to authorized users.

Keywords: Intubation, Out-of-hospital cardiac arrest, Resuscitation, Airwaymanagement

Introduction and background

The quality of cardiopulmonary resuscitation (CPR) performed by emergency medical service (EMS) staff has been identified as an independent predictive factor for the outcome after out-of-hospital cardiac arrest [1]. The quality is related to the extent to which guidelines are implemented and how effectively they are translated into everyday routine work [2, 3]. CPR technique and the associated technical skills affect the primary outcome [4].

During resuscitation attampts, endotracheal intubation is still regarded as the “gold standard” for airway management. Endotracheal intubation should be performed during ongoing chest compression and should only be carried out by professionals who are well trained and experienced in this technique [5]. The aim of the present study was to investigate the influence of difficulties in endotracheal intubation on the primary outcome in patients with out-of-hospital cardiac arrest (OHCA) [69].

The primary outcome, defined as return of spontaneous circulation (ROSC) after OHCA, depends on several factors that have been previously studied [1012]. Some of these influencing factors are fixed, due to the patient’s condition and the surrounding circumstances, and cannot be changed or influenced by the EMS [13]. These include age, gender, location of cardiac arrest, no-flow time, basic life support provided before the arrival of the EMS, presumable etiology, and the initial electrocardiography (ECG) rhythm [12, 1417]. To allow comparison of the effects of different treatment strategies on the primary outcome, the ROSC after Cardiac Arrest (RACA) score was developed and published in 2011 [13].

In this retrospective registry-based study, the incidence of difficult and impossible intubation during resuscitation attempts in Germany and the impact on ROSC after OHCA were calculated. The impact of the expertise and specialization of the physician on the scene in relation to the incidence of difficult and impossible intubations and the use of supraglottic airway devices during difficult and impossible intubations and its impact on the primary outcome after OHCA were analyzed as well.

Methods

The German Resuscitation Registry (GRR) is a national prospective database for both out-of-hospital and in-hospital cardiac arrest patients [18]. This study included 8512 patients with a “prehospital care data set”, in which prehospital technical information, timestamps, presumed etiology, resuscitation therapy, and the patient’s primary outcome were recorded from 2007 until 2011 in accordance with the Utstein style recommendations [19, 20].

Twenty-two emergency medical systems staffed by emergency physicians (the GRR Study Group) contributed to the study. The physicians on the scene were anesthetists, surgeons, and internists who had completed a special training program in emergency medicine.

The study design and publication were approved by the scientific committee of the GRR in the German Society of Anesthesiology and Intensive-Care Medicine, in compliance with current publication guidelines. The need to obtain informed consent from the patients was waived by the ethics committee of the University of Cologne, Faculty of Medicine (Record No. 11–014) and the ethics committee of the University of Kiel, Faculty of Medicine (Record No. D 432/13).

Inclusion criteria

The present analysis includes patients with OHCA in whom cardiopulmonary resuscitation (CPR) was started. Out-of-hospital cardiac arrest was defined in accordance with the Utstein style criteria as a cessation of cardiac mechanical activity, confirmed by the absence of signs of circulation. Only data sets that provided the full information necessary for calculating the RACA score (age, location of cardiac arrest, first monitored ECG rhythm, witnessing, bystander CPR, suggested etiology, arrival time of EMS) were included in the analysis [13].

Exclusion criteria

Patients with definite signs of death, patients with a do-not-attempt-resuscitation order, and patients presenting with injuries that were obviously associated with no chance of survival were excluded. Incomplete data sets were also excluded from further analysis. Children and adolescents up to the age of 18 were also excluded from the present analysis due to their special physiologic and pathophysiologic conditions and the small sample size (n = 191).

Definitions of difficulties in endotracheal intubation

Difficult endotracheal intubation was defined as any problems occurring during the insertion of an endotracheal tube, even if it was finally successful. Due to the definitions established in the Utstein style and GRR data set, no distinction was made between numbers of attempts or reasons for these difficulties.

Impossible endotracheal intubation was defined as an unsuccessful attempt to insert an endotracheal tube irrespective of the number of attempts.

Data management

The GRR is a prospective web-based database used to record all EMS- and emergency physician–related resuscitation efforts. The GRR’s data management system has been shown to be consistent with the Utstein style, and its control mechanisms guarantee data collection and data quality in connection with out-of-hospital (18) and in-hospital cases of cardiac arrest [21].

End points

In accordance with the Utstein definition, the primary outcome was the return of spontaneous circulation (ROSC), defined as a palpable pulse for more than 20 s [22].

RACA score

The RACA score is a simple tool for calculating a predicted outcome rate (the ROSC rate) on the basis of independent variables that cannot be changed by the EMS. The exact calculation of the score is described elsewhere [13].

In addition to the Utstein style and RACA criteria, the impact of the criteria “qualification” and “specialty” of the physician on the scene and the use of supraglottic airway devices (SGD) was analyzed. It was not possible to provide information about the specific type of alternative airway used, as the EMS may use different airway devices that are summarized under “supraglottic airway” when recorded in the “prehospital care” data set.

Statistical analysis

On the basis of the prospectively recorded multicenter data sets, a retrospective analysis was carried out in relation to effects of the criteria “difficult intubation” and “impossible intubation” on the primary resuscitation outcome, as measured by the ROSC rate. The relationship between the criteria “difficult intubation” and “impossible intubation” and the RACA score was also analyzed.

The data were divided into three subgroups: group 1, all data sets with “difficult intubation”; group 2, all data sets with “impossible intubation”; and group 3, a control group containing all data sets in which no problems with intubation were recorded.

Statistical analysis of the binary and categorical variables was carried out using the chi-square test and Fisher’s exact test, as appropriate. For the variables of age and time, the U test and Kruskal–Wallis tests were used. P < 0.05 was considered to indicate statistical significance.

In a second step, the impact of the Utstein style criteria on the incidence of impossible intubation was analyzed by univariate analysis. All variables yielding P < 0.10 in the univariate analysis were subsequently included in a binary logistic regression analysis (Table 1).

Table 1.

Predictors of impossible intubation. (forwards stepwise binary logistic regression analysis) Variables not shown in equation: Resident physician in internal medicine

Regression-coefficient SE P-value OR (95 % CI)
Gender male 0.82 0.24 p = 0.001 2.28 (1.43–3.63)
Age < 80 years 0.78 0.28 p = 0.005 2.18 (1.26–3.76)
presumed etiology p = 0.034
presumed etiology – trauma 0.80 0.40 p = 0.046 2.22 (1.01–4.85)
presumed etiology – hypoxia 0.49 0.27 p = 0.067 1.63 (0.97–2.74)
board certified physician in Anesthesia −0.43 0.20 p = 0.028 0.65 (0.44–0.96)
constant −5.22 0.32 p < 0.001

All statistical analyses were performed with SPSS, version 18 (SPSS Inc., Chicago, Illinois, USA).

Results

Between January 2007 and October 2011, a total of 11,664 patients were documented in the GRR following out-of-hospital cardiac arrest. A total of 3152 data sets were excluded from the analysis due to missing information (n = 2961), age below 18 years (n = 191). Of the remaining 8512 patients with OHCA, 41.9 % achieved ROSC on the scene (n = 3565) and 45.4 % were admitted to hospital (n = 3864) with ongoing CPR (n = 613) or ROSC (n = 3251). Figure 1 shows a flow diagram for the study patients.

Fig. 1.

Fig. 1

Flow chart for study patients with out-of-hospital cardiac arrest between January 2007 and October 2011. CPR,cardiopulmonary resuscitation

A total of 510 patients with difficult endotracheal intubation were documented and intubation was impossible in 147 patients. No difficulties were recorded in relation to airway management in the remaining 7855 patients (normal endotracheal intubation). The characteristics of the different groups are shown in Table 2.

Table 2.

Comparison of Study Patients with Out-of-Hospital Cardiac Arrest Documented in the German Resuscitation Registry Relative to Intubation Problems (January 2007–October 2011)

Difficult endotracheal intubation Impossible endotracheal intubation Normal endotracheal intubation (control group) P-values Test method
n 510 147 7855
Gender male 378 (74.1 %) 117 (79.6 %) 5194 (66.1 %) p < 0.001 Chi2
Age in years (MD +/− SD) 64.5 +/−14.9 64.1 +/−14.9 68.7 +/−15.2 p < 0.001 Kruskal-Wallis
Age > 80 years 85 (16.7 %) 18 (12.2 %) 1973 (25.1 %) p < 0.001 Chi2
Location
- At home 325 (63.7 %) 97 (66.0 %) 5271 (67.1 %) 0.028 Chi2
- Nursing home 30 (5.9 %) 7 (4.8 %) 611 (7.8 %)
- Doctor’s office 5 (1.0 %) 4 (2.7 %) 147 (1.9 %)
- Public place 111 (21.8 %) 32 (21.8 %) 1357 (17.3 %)
- Medical institution 11 (2.2 %) 2 (1.4 %) 191 (2.4 %)
- Others 28 (5.5 %) 5 (3.4 %) 278 (3.5 %)
Presenting rhythm
- Ventricular Fibrillation 154 (30.2 %) 40 (27.2 %) 2235 (28.5 %) 0.274 Chi2
- EMD 79 (15.5 %) 17 (11.6 %) 1345 (17.1 %)
- Asystole 277 (54.3 %) 90 (61.2 %) 4275 (54.4 %)
Witnessed
- None 153 (30.0 %) 60 (40.8 %) 3046 (38.8 %) p < 0.001 Chi2
- Lay people 309 (60.6 %) 70 (47.6 %) 3952 (50.3 %)
- Professionals 48 (9.4 %) 17 (11.6 %) 857 (10.9 %)
Bystander CPR 125 (24.5 %) 29 (19.7 %) 1173 (14.9 %) p < 0.001 Chi2
Presumed etiology
- Cardial 375 (73.5 %) 109 (74.1 %) 6360 (81.0 %) p < 0.001 Chi2
- Trauma 21 (4.1 %) 7 (4.8 %) 181 (2.3 %)
- Hypoxia 66 (12.9 %) 20 (13.6 %) 698 (8.9 %)
- Intoxikation 6 (1.2 %) 5 (3.4 %) 114 (1.5 %)
- Other not cardial 42 (8.2 %) 6 (4.1 %) 502 (6.4 %)
use of SGD 152 (29.8 %) 97 (66.0 %) 530 (6.7 %) p < 0.001 Chi2
Arrest to EMS arrival time (MD +/−SD) 9.1 +/− 5.8 8.3 +/−5.6 8.7 +/−6.0 0.092 Kruskal-Wallis
observed ROSC 222 (43.5 %) 46 (31.3 %) 3297 (42.0 %) 0.025 Chi2
(95 % CI) (39.2–47.8 %) (23.8–38.8 %) (40.9–43.1 %)
expected ROSC (RACA) 42.0 % 40.5 % 39.8 %

CPR, cardiopulmonary resuscitation; EMD, electromechanical dissociation; EMS, emergency medical system; RACA, ROSC after cardiac arrest score; ROSC, return of spontaneous circulation; SGD, supraglottic airway device

The incidence of difficult or impossible intubation remained relatively constant. The use of supraglottic airway devices (SGD) has increased continuously since 2007.

Patients with difficult intubation

ROSC was achieved in 43.5 % of cases (n = 222; 95 % CI, 39.2 to 47.8 %). The expected ROSC (= RACA score) in this group was 42.0 %. SGDs were used in 29.8 % of the cases (n = 152 of 510). If SGDs were used, ROSC was achieved in 44.1 % (n = 67; 95 % CI, 36.2 to 52.0 %), in comparison with a predicted ROSC of 41.3 % according to the RACA score (n.s.). If SGD were not used, ROSC was achieved in 43.3 % of cases (n = 155; 95 % CI, 38.2 to 48.4 %). The predicted ROSC in this group was 42.3 % (n.s.) (Fig. 2). Qualification of the physicians on the scene is shown in Table 3.

Fig. 2.

Fig. 2

Mean rate of observed return of spontaneous circulation (ROSC) (95 % confidence intervals) in comparison with the predicted rate of return of spontaneous circulation (black bar) in difficult intubation group. ROSC, return of spontaneous circulation; SGD, supraglottic airway device

Table 3.

Qualification of the physician on scene relative to intubation problems

Difficult endotracheal intubation Impossible endotracheal intubation Normal endotracheal intubation (control group)
n 510 147 7855
qualification
- resident physicians 224 (45.3 %) 61 (45.9 %) 3015 (41.2 %)
- Board-certified physicians 270 (54.7 %) 72 (54.1 %) 4308 (58.8 %)
- unkown 16 14 532
field
- anesthetists 271 (55.0 %) 74 (55.2 %) 4829 (66.1 %)
- internists 129 (26.2 %) 36 (26.9 %) 1428 (19.5 %)
- surgeons 61 (12.4 %) 17 (12.7 %) 701 (9.6 %)
- other specialties 32 (6.5 %) 7 (5.2 %) 350 (4.8 %)
- unkown 17 13 547

Patients with impossible intubation

ROSC was achieved in 31.3 % of cases (n = 46/147; 95 % CI, 23.8 to 38.8 %) in comparison with a predicted ROSC rate of 40.5 % (P < 0.05). An alternative airway was used in 66.0 % of these cases (n = 97/147).

If a SGD was used, ROSC was observed in 38.1 % (n = 37; 95 % CI, 28.5 to 47.8 %). In accordance with the RACA score, ROSC would have been expected in 41.6 % (n.s.). If an SGD was not used, ROSC was observed in 18.0 % (n = 9; 95 % CI, 7.4 to 28.6 %). In accordance with the RACA score, ROSC would have been expected in 38.2 % of these cases (P < 0.05) (Fig. 3).

Fig. 3.

Fig. 3

Mean rate of observed return of spontaneous circulation (ROSC) (95 % confidence intervals) in comparison with the predicted rate of return of spontaneous circulation (black bar) in impossible intubation group. ROSC, return of spontaneous circulation; SGD, supraglottic airway device

Significant predictive factors for impossible intubation identified in the binary logistic regression analysis are listed in Table 1.

Control group with normal airway

ROSC was observed in 42.0 % of cases (n = 3297/7855; 95 % CI, 40.9 to 43.1 %). According to the RACA score, ROSC would have been expected in 39.8 % of these cases (Additional file 1).

Discussion

In a total of 8512 resuscitation attempts analyzed, intubation was difficult in 6.0 % of all the patients in the registry and impossible in 1.7 %. These figures were analyzed in the context of other publications on the influence of difficult or impossible intubation on the patient’s [23, 24]. In prehospital emergency medicine, the incidence of a difficult airway may vary widely and may depend on the type of emergency service being analyzed. The incidence of difficult or impossible intubation is higher in reports from countries with paramedic-based emergency services. Cobas and coworkers found that 31 % of 203 patients with prehospital intubation met the criteria for unsuccessful intubation [24]. Wang et al. reported a success rate of only 77 % in 10,356 attempted prehospital intubations [25]. In their study, 4482 patients were intubated during ongoing resuscitation, with an intubation success rate of 78 %.

Breckwoldt and coworkers reported an incidence of difficult intubation of 13 % in 276 intubations analyzed, a rate similar to that observed in the present study in the physician-based EMS in Germany [26]. Intubation failed in 1.4 % of patients. Intubations were most often attempted during cardiac arrest (63.8 % of all patients) [23]. This was also observed in other systems in Germany. In another physician-based EMS, Chenaitia et al. noted a 6 % incidence of more than two intubation attempts or a need for an alternative airway device in 239 prehospital intubations [27]. Adnet et al. reported a 99.1 % success rate in 691 prehospital intubations [28]. Although a difficult airway was present in 10.8 % of the cases, the intubation failed in only 0.9 % of the patients. Patients with cardiac arrest formed the largest proportion of the patient population enrolled (48.2 %).

The incidence of difficult or even impossible endotracheal intubation is markedly higher during EMS operations in comparison with clinical anesthesia. In clinical anesthesia, Burkle and coworkers noted intubation difficulties in 0.5 % of anesthetic procedures (186/37,482), while 0.4 % of the attempted intubations failed and airway management was achieved with a supraglottic airway device [29].

To make things worse, EMS staff on the scene often do not have the same level of training and skills as hospital staff, who are routinely acquainted with the tasks required or can call for additional help and resources very quickly. EMS physicians from subspecialties other than anesthesia may therefore need further training or provision of alternative airway devices.

The observed ROSC rate in the impossible intubation group was significant reduced compared to the predicted ROSC rate according to the RACA score in these groups. It was found that difficulties in endotracheal intubation have no influence on the ROSC when the endotracheal tube is in the end successfully placed. However, impossible endotracheal intubation was followed by a significant reduction in the ROSC rate.

Difficult or impossible intubation was more frequent in male patients. This proportion was significantly lower in the control group. Male gender was an independent predictive factor for impossible intubation. An association between male gender and difficult intubation was also reported by Timmermann and coworkers, with 79 % of the male patients having a difficult airway, while males accounted for only 64 % in the overall population [9]. In a study on prehospital airway management, Thierbach and coworkers reported that 18.3 % of males but only 9.5 % of females needed several intubation attempts [30].

Age had a significant impact on the incidence of a difficult or impossible intubation in the present study. Age below 80 is an independent predictive factor for an impossible intubation. This is in contrast to the findings reported by Chenaitia et al., in which the mean age in the group with a difficult airway was 64 years, in comparison with a mean of 54 in patients with an uncomplicated airway [27].

In the present analysis, CPR due to trauma was an independent predictive factor for impossible intubation. Few data have been published on the incidence of difficult or impossible intubation during CPR, trauma, and hypoxia. Timmermann et al. reported a higher incidence of difficult airways in patients after trauma, but did not explicitly mention the combination of CPR and trauma [9]. Thierbach and coworkers found that intubation was successful at the first attempt in 70 % of patients after trauma, in comparison with 85 % of patients without trauma [30].

In this analysis, the level of training of the physician on the scene was found to have a significant impact on the incidence of impossible intubation. The multivariate analysis showed that physicians with board certification in anesthesia have a positive impact in preventing situations of impossible intubation and are able to counteract all the other negative factors identified in the study.

Several authors have reported on the impact of physicians’ level of training on the outcome in prehospital emergency medicine. Breckwoldt and coworkers also reported that difficult intubation was significantly less frequent with board-certified anesthetists in comparison with board-certified internists with experience in intensive care [26]. In this context, Timmermann reported that 18 % of emergency physicians who were not anesthetists had performed less than 20 intubations in controlled conditions in hospital [7]. This finding is particularly important, as nearly 42 % of nonanesthetist emergency physicians have no experience with any type of supraglottic airway device and 55.5 % have no experience in obtaining surgical access to the airway.

The use of a supraglottic airway device in the difficult intubation group had no impact on the primary outcome in the present analysis. By contrast, if a supraglottic airway device was not used after impossible intubation, the observed ROSC was significantly poorer than that predicted by the RACA score. The use of an SGD reduces the negative impact on the ROSC if impossible intubation occurs. According to the RACA/ROSC analyses, use of an SGD in this situation was able to overcome the negative impact of impossible intubation.

As the study is registry-based, it was not possible to obtain information about the specific devices and manufacturers of SGDs; several different supraglottic devices were used.

Schalk and coworkers reported on the safety of the laryngeal tube in a German EMS in which the device was used both by physicians and nonphysicians. Ventilation was successful in all 157 patients, and the device was used both after failed intubation and as a primary airway [31, 32].

A continuing increase in the use of supraglottic airway devices has been observed since 2007, and they are now being used during CPR significantly more often in comparison with 2008. Data are not available on the proportion of cases in which the use of a supraglottic airway for ventilation failed, leading to the documentation of an impossible intubation, and it can therefore not be concluded that using a supraglottic airway device is able to prevent failed intubation. In 2011, more than 20 % of resuscitated patients did not undergo endotracheal intubation as the primary airway. This suggests that the use of supraglottic airway devices is not restricted to difficult airway management and that they are increasingly being used as a primary airway. Further research is needed in order to assess the positive or negative impact of routine use of SGDs. In some studies, SGD use has been reported to have a negative impact on the outcome for cardiac arrest victims [33].

Limitations

The GRR is based on voluntary participation by emergency services and hospitals and covers a population of 12 million. It is not capable of providing complete data on OHCA incidents and resuscitation attempts throughout Germany. Although there is therefore some degree of uncertainty with regard to the representativeness of the registry, it still reflects current practice throughout the country in both rural areas and large cities, with different emergency medical system patterns. Voluntary registration and documentation by 22 medical emergency systems providing data for the prehospital care data sets is likely to be associated with a risk of inclusion bias in the present study. This is a problem typically associated with all registry-based studies [34].

The limited number of 8512 patients included resulted from a strict limitation to patients with complete prehospital care data sets. ROSC was selected as the primary end point due to the known impact of postresuscitation care on the secondary outcome of CPR, as measured by hospital discharge findings.

The classification of cases as representing difficult or impossible endotracheal intubation was made by the physician on the scene and could not be verified by someone else in the EMS setting.

Conclusions

The outcome after resuscitation attempt is poorer in patients in whom endotracheal intubation is not possible. Predictive factors for impossible intubation identified in the present study are male gender, younger age, and trauma. Supraglottic airway devices should be used at an early stage whenever these negative factors are present and a board-certified anesthetist is not on the scene.

Acknowledgments

The authors are indebted to all of the active participants in the German Resuscitation Registry (GRR) who registered OHCA patients on a voluntary basis. The authors would also like to thank all professionals involved in prehospital emergency medical care and intensive care in the following 22 emergency physician-staffed emergency medical systems (GRR Study Group):

Berlin (W. Schmittbauer), Bonn (U. Heister, J.C. Schewe), Dortmund (H. Lemke, U. Schniedermeier), Dresden (W. Haacke), Erlangen (J. Schüttler, M. Meyer), Esslingen (W. Immrich, M. Kerner), Eutin (P. Knacke), Göppingen (M. Fischer, M. Messelken), Gütersloh (B. Strickmann), Heidelberg (N. Russ, M. Bernhard), Kaiserslautern (C. Madler, M. Kumpch), Kiel (M. Corzillius), Lüneburg (T. Zeng), Malchin (T. Hanff), Marburg (C. Kill), Meiningen (M. Walther), Ostfildern (E. Kehrberger, M. Gmyrek), Remscheid (T. Bachus), Rendsburg-Eckernförde (G. Heller), Straubing (C. Thiel), Trier (C.S. Schmitz, L. Carl), Tübingen (H. Fischer).

Abbreviations

CI

Confidence interval(s)

ECG

Electrocardiogram

EMS

Emergency medical service

GRR

German Resuscitation Registry

OHCA

Out-of-hospital cardiac arrest

OR

Odds ratio

RACA

ROSC after cardiac arrest (score)

ROSC

Return of spontaneous circulation

SGD

Supraglottic airway device

Additional file

Additional file 1: Table S1. (24.2KB, docx)

Comparison of included and excluded cases. (CPR, cardiopulmonary resuscitation; EMD, electromechanical dissociation; EMS, emergency medical system; ROSC, return of spontaneous circulation).

Footnotes

Jan Wnent and Rüdiger Franz contributed equally to this work.

Competing interests

JTG, MF, SS, AB and JW are members of the steering commitee of the German Resuscitation Registry. All other authors have not conflicts of interest to declare.

Authors contributions

JW, RF and SS drafted the manuscript. JTG is responsible for the study design and supervised the study. RL and SS are responsible for the statistical analyzes. AB, MF, JS, JWW and RPL revised the manuscript and give substantial contributions. All authors read and approved the final manuscript.

Contributor Information

Jan Wnent, Phone: +49 451/5002766, Email: wnent@reanimationsregister.de.

Rüdiger Franz, Email: ruediger_franz@t-online.de.

Stephan Seewald, Email: seewald@reanimationsregister.de.

Rolf Lefering, Email: rolf.lefering@uni-wh.de.

Matthias Fischer, Email: Matthias.Fischer@af-k.de.

Andreas Bohn, Email: BohnA@stadt-muenster.de.

Jörg W. Walther, Email: walther@ipa-dguv.de

Jens Scholz, Email: vv@uksh.de.

Roman-Patrik Lukas, Email: lukasr@uni-muenster.de.

Jan-Thorsten Gräsner, Email: graesner@reanimationsregister.de.

References

  • 1.Fernandez Castelao E, Russo SG, Cremer S, et al. Positive impact of crisis resource management training on no-flow time and team member verbalisations during simulated cardiopulmonary resuscitation: a randomised controlled trial. Resuscitation. 2011;82:1338–43. doi: 10.1016/j.resuscitation.2011.05.009. [DOI] [PubMed] [Google Scholar]
  • 2.Martin-Hernandez H, Lopez-Messa JB, Perez-Vela JL, Herrero-Ansola P. ILCOR 2010 recommendations. The evidence evaluation process in resuscitation. Med Intensiva. 2011;35:249–55. doi: 10.1016/j.medin.2011.03.003. [DOI] [PubMed] [Google Scholar]
  • 3.Olasveengen TM, Vik E, Kuzovlev A, Sunde K. Effect of implementation of new resuscitation guidelines on quality of cardiopulmonary resuscitation and survival. Resuscitation. 2009;80:407–11. doi: 10.1016/j.resuscitation.2008.12.005. [DOI] [PubMed] [Google Scholar]
  • 4.Lund-Kordahl I, Olasveengen TM, Lorem T, Samdal M, Wik L, Sunde K. Improving outcome after out-of-hospital cardiac arrest by strengthening weak links of the local chain of survival; quality of advanced life support and post-resuscitation care. Resuscitation. 2010;81:422–6. doi: 10.1016/j.resuscitation.2009.12.020. [DOI] [PubMed] [Google Scholar]
  • 5.Deakin CD, Nolan JP, Soar J, et al. European resuscitation council guidelines for resuscitation 2010 section 4. Adult advanced life support. Resuscitation. 2010;81:1305–52. doi: 10.1016/j.resuscitation.2010.08.017. [DOI] [PubMed] [Google Scholar]
  • 6.Timmermann A. Modern airway management–current concepts for more patient safety. Anasthesiol Intensivmed Notfallmed Schmerzther. 2009;44:246–55. doi: 10.1055/s-0029-1222432. [DOI] [PubMed] [Google Scholar]
  • 7.Timmermann A, Braun U, Panzer W, Schlaeger M, Schnitzker M. Graf BM [Out-of-hospital airway management in northern Germany. Physician-specific knowledge, procedures and equipment]. Anaesthesist. 2007;56:328–34. doi: 10.1007/s00101-007-1153-5. [DOI] [PubMed] [Google Scholar]
  • 8.Timmermann A, Eich C, Russo SG, et al. Prehospital airway management: a prospective evaluation of anaesthesia trained emergency physicians. Resuscitation. 2006;70:179–85. doi: 10.1016/j.resuscitation.2006.01.010. [DOI] [PubMed] [Google Scholar]
  • 9.Timmermann A, Russo SG, Eich C, et al. The out-of-hospital esophageal and endobronchial intubations performed by emergency physicians. Anesth Analg. 2007;104:619–23. doi: 10.1213/01.ane.0000253523.80050.e9. [DOI] [PubMed] [Google Scholar]
  • 10.Engdahl J, Holmberg M, Karlson BW, Luepker R, Herlitz J. The epidemiology of out-of-hospital ‘sudden’ cardiac arrest. Resuscitation. 2002;52:235–45. doi: 10.1016/S0300-9572(01)00464-6. [DOI] [PubMed] [Google Scholar]
  • 11.Herlitz J, Bahr J, Fischer M, Kuisma M, Lexow K, Thorgeirsson G. Resuscitation in Europe: a tale of five European regions. Resuscitation. 1999;41:121–31. doi: 10.1016/S0300-9572(99)00045-3. [DOI] [PubMed] [Google Scholar]
  • 12.Krittayaphong R, Saengsung P, Chawaruechai T, Yindeengam A, Udompunturak S. Factors predicting outcome of cardiopulmonary resuscitation in a developing country: the Siriraj cardiopulmonary resuscitation registry. J Med Assoc Thai. 2009;92:618–23. [PubMed] [Google Scholar]
  • 13.Gräsner JT, Meybohm P, Lefering R, et al. ROSC after cardiac arrest–the RACA score to predict outcome after out-of-hospital cardiac arrest. Eur Heart J. 2011;32:1649–56. doi: 10.1093/eurheartj/ehr107. [DOI] [PubMed] [Google Scholar]
  • 14.Gräsner JT, Wnent J, Seewald S, et al. Cardiopulmonary resuscitation traumatic cardiac arrest - there are survivors. An analysis of two national emergency registries. Crit Care. 2011;15:R276. doi: 10.1186/cc10558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Herlitz J, Engdahl J, Svensson L, Young M, Angquist KA, Holmberg S. Can we define patients with no chance of survival after out-of-hospital cardiac arrest? Heart. 2004;90:1114–8. doi: 10.1136/hrt.2003.029348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Herlitz J, Svensson L, Engdahl J, et al. Characteristics of cardiac arrest and resuscitation by age group: an analysis from the Swedish cardiac arrest registry. Am J Emerg Med. 2007;25:1025–31. doi: 10.1016/j.ajem.2007.03.008. [DOI] [PubMed] [Google Scholar]
  • 17.Sasson C, Rogers MA, Dahl J, Kellermann AL. Predictors of survival from out-of-hospital cardiac arrest: a systematic review and meta-analysis. Circ Cardiovasc Qual Outcomes. 2010;3:63–81. doi: 10.1161/CIRCOUTCOMES.109.889576. [DOI] [PubMed] [Google Scholar]
  • 18.Gräsner JT, Meybohm P, Fischer M, et al. A national resuscitation registry of out-of-hospital cardiac arrest in Germany-a pilot study. Resuscitation. 2009;80:199–203. doi: 10.1016/j.resuscitation.2008.10.008. [DOI] [PubMed] [Google Scholar]
  • 19.Jacobs I, Nadkarni V, Bahr J, et al. Cardiac arrest and cardiopulmonary resuscitation outcome reports: update and simplification of the Utstein templates for resuscitation registries. A statement for healthcare professionals from a task force of the international liaison committee on resuscitation (american heart association, european resuscitation council, Australian resuscitation council, New Zealand resuscitation council, heart and stroke foundation of Canada, InterAmerican heart foundation, resuscitation council of southern africa) Resuscitation. 2004;63:233–49. doi: 10.1016/j.resuscitation.2004.09.008. [DOI] [PubMed] [Google Scholar]
  • 20.Zaritsky A, Nadkarni V, Hazinski MF, et al. Recommended guidelines for uniform reporting of pediatric advanced life support: the pediatric Utstein style. A statement for healthcare professionals from a task force of the American academy of pediatrics, the american heart association, and the European resuscitation council. Resuscitation. 1995;30:95–115. doi: 10.1016/0300-9572(95)00884-V. [DOI] [PubMed] [Google Scholar]
  • 21.Gräsner JT, Herlitz J, Koster RW, Rosell-Ortiz F, Stamatakis L, Bossaert L. Quality management in resuscitation–towards a European cardiac arrest registry (EuReCa) Resuscitation. 2011;82:989–94. doi: 10.1016/j.resuscitation.2011.02.047. [DOI] [PubMed] [Google Scholar]
  • 22.Chamberlain D, Cummins RO. Recommended guidelines for uniform reporting of data from out-of-hospital cardiac arrest: the ‘Utstein style’. European resuscitation council, american heart association, heart and stroke foundation of Canada and Australian resuscitation council. Eur J Anaesthesiol. 1992;9:245–56. [PubMed] [Google Scholar]
  • 23.Breckwoldt J, Klemstein S, Brunne B, Schnitzer L, Mochmann HC, Arntz HR. Difficult prehospital endotracheal intubation - predisposing factors in a physician based EMS. Resuscitation. 2011;82:1519–24. doi: 10.1016/j.resuscitation.2011.06.028. [DOI] [PubMed] [Google Scholar]
  • 24.Cobas MA, De la Pena MA, Manning R, Candiotti K, Varon AJ. Prehospital intubations and mortality: a level 1 trauma center perspective. Anesth Analg. 2009;109:489–93. doi: 10.1213/ane.0b013e3181aa3063. [DOI] [PubMed] [Google Scholar]
  • 25.Wang HE, Kupas DF, Greenwood MJ, et al. An algorithmic approach to prehospital airway management. Prehosp Emerg Care. 2005;9:145–55. doi: 10.1080/10903120590924618. [DOI] [PubMed] [Google Scholar]
  • 26.Breckwoldt J, Klemstein S, Brunne B, Schnitzer L, Arntz HR, Mochmann HC. Expertise in prehospital endotracheal intubation by emergency medicine physicians-comparing ‘proficient performers’ and ‘experts’. Resuscitation. 2012;83:434–9. doi: 10.1016/j.resuscitation.2011.10.011. [DOI] [PubMed] [Google Scholar]
  • 27.Chenaitia H, Soulleihet V, Massa H, et al. The Easytube for airway management in prehospital emergency medicine. Resuscitation. 2010;81:1516–20. doi: 10.1016/j.resuscitation.2010.06.002. [DOI] [PubMed] [Google Scholar]
  • 28.Adnet F, Jouriles NJ, Le Toumelin P, et al. Survey of out-of-hospital emergency intubations in the French prehospital medical system: a multicenter study. Ann Emerg Med. 1998;32:454–60. doi: 10.1016/S0196-0644(98)70175-1. [DOI] [PubMed] [Google Scholar]
  • 29.Burkle CM, Walsh MT, Harrison BA, Curry TB, Rose SH. Airway management after failure to intubate by direct laryngoscopy: outcomes in a large teaching hospital. Can J Anaesth. 2005;52:634–40. doi: 10.1007/BF03015776. [DOI] [PubMed] [Google Scholar]
  • 30.Thierbach A, Piepho T, Wolcke B, Kuster S, Dick W. Prehospital emergency airway management procedures. Success rates and complications. Anaesthesist. 2004;53:543–50. doi: 10.1007/s00101-004-0679-z. [DOI] [PubMed] [Google Scholar]
  • 31.Dengler V, Wilde P, Byhahn C, Mack MG, Schalk R. Prehospital airway management of laryngeal tubes. Should the laryngeal tube S with gastric drain tube be preferred in emergency medicine? Anaesthesist. 2011;60:135–8. doi: 10.1007/s00101-010-1774-y. [DOI] [PubMed] [Google Scholar]
  • 32.Schalk R, Auhuber T, Haller O, et al. Implementation of the laryngeal tube for prehospital airway management: training of 1,069 emergency physicians and paramedics. Anaesthesist. 2012;61:35–40. doi: 10.1007/s00101-011-1966-0. [DOI] [PubMed] [Google Scholar]
  • 33.Yanagawa Y, Sakamoto T. Analysis of prehospital care for cardiac arrest in an urban setting in Japan. J Emerg Med. 2010;38:340–5. doi: 10.1016/j.jemermed.2008.04.037. [DOI] [PubMed] [Google Scholar]
  • 34.Dumas F, Cariou A, Manzo-Silberman S, et al. Immediate percutaneous coronary intervention is associated with better survival after out-of-hospital cardiac arrest: insights from the PROCAT (Parisian region Out of hospital cardiac ArresT) registry. Circ Cardiovasc Interv. 2010;3:200–7. doi: 10.1161/CIRCINTERVENTIONS.109.913665. [DOI] [PubMed] [Google Scholar]

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