- Original research
- Open Access
Apples to apples: can differences in out-of-hospital cardiac arrest incidence and outcomes between Sweden and Ireland be explained by core Utstein variables?
© The Author(s). 2018
Received: 20 November 2017
Accepted: 25 April 2018
Published: 3 May 2018
Variation in reported incidence and outcome based on aggregated data is a persistent feature of out-of-hospital cardiac arrest (OHCA) epidemiology.
To investigate the extent to which patient-level analysis using core ‘Utstein’ variables explains inter-country variation between Sweden and the Republic of Ireland.
A retrospective cross-sectional comparative study was performed, including all Swedish and Irish OHCA cases attended by Emergency Medical Services (EMS-attended OHCA) where resuscitation was attempted from 1st January 2012 to 31st December 2014. Incidence rates per 100,000 population were adjusted for age and gender. Two subgroups were extracted: (1) Utstein - adult patients, bystander-witnessed collapse, presumed medical aetiology, initial shockable rhythm and (2) Emergency Medical Service (EMS)-witnessed events. Multivariable logistic regression analysis was used to identify predictors of survival following multiple imputations of data.
Five thousand eight hundred eighty six Irish and 15,303 Swedish patients were included. Swedish patients were older than Irish patients (median age 71 vs. 66 years respectively). Adjusted incidence was significantly higher in Sweden compared to the Republic of Ireland (52.9 vs. 43.1 per 100,000 population per year). Proportionate survival in Sweden was greater for both subgroups and all age categories. Regression analysis of the Utstein subgroup predicted approximately 17% of variation in outcome, but there was a large unexplained ‘country effect’ for survival in favour of Sweden (OR 4.40 (95% CI 2.55–7.56)).
Using patient level data, a proportion of inter-country variation was explained, but substantial variation was not explained by the core Utstein variables. Researchers and policy makers should be aware of the potential for unmeasured differences when comparing OHCA incidence and outcomes between countries.
What is already known about this subject?
There is variation in the reported incidence and outcomes from out-of-hospital cardiac arrest when aggregated data is compared
What does this study add?
This study quantifies the proportion of variation between countries that can be explained using patient level analysis that includes core Utstein variables
How might this impact on clinical practice?
The significant potential for the presence of unmeasured differences between countries should be acknowledged, whether for research or for the development of national outcome targets.
There is international variation in the reported incidence and outcome from out-of-hospital cardiac arrest (OHCA). Chamberlain and Eisenberg stated that in order to compare outcomes between different systems of care, it is necessary to have “a comparator that enables areas of weakness to be defined and addressed whether it be at local, national and international level”. The Utstein criteria were developed for this reason, and identify patients based on a number of indicators . International benchmarking is a highly desirable aspiration, and many notable studies and reviews have been carried out that compare the outcomes from OHCA across multiple countries and jurisdictions [2–5]. To ensure that comparison is informative, it is essential that data is collected for the same purpose, data definitions and collection methodologies are similar, and that the population covered is equally representative . Assuring uniformity in OHCA data collection and reporting systems is essential, as differences in outcomes may well be attributable to differences in data availability and processing methodologies . This aim of this study was therefore to investigate the extent to which patient-level analysis using core ‘Utstein’ variables explains variation in OHCA incidence and outcome between two countries, namely Sweden and the Republic of Ireland.
Aim and study design
We conducted a retrospective analysis of prospectively collected cohort of all Swedish and Irish cases of EMS-attended OHCA where resuscitation was attempted from 1st January 2012 to 31st December 2014.
Swedish OHCA registry data have been used to monitor national changes in OHCA incidence, management and outcome for more than 25 years . Ireland’s OHCA registry was established in 2007, modelled on the Swedish registry, and has had comprehensive national data collection since 2012 . Both registries are hosted by universities, operate in collaboration with ambulance services, and are publicly funded. Irish data is transcribed by an external data management company from ambulance patient care reports while Swedish practitioners enter event data directly onto a web-based template that is forwarded to the registry. Dispatch data and patient outcome data is available directly from the dispatch centre and receiving hospitals in both countries. The availability of a unique patient identifier in Sweden means that status of the patient at thirty days can be obtained from Statistics Sweden. Both countries have systematic missing case identification procedures. This is performed centrally in Ireland and at county level in Sweden. Similarly, regular data quality assurance is performed, using the original patient care report (Ireland) or medical journal (Sweden) to validate data entered. A full description of the data collection comparison is available as a supplementary table. During the study period, clinical practice guidelines for EMS in both countries complied with the 2010 ILCOR recommendations . Irish and Swedish EMS practitioners are not required to start resuscitation in cases where definitive signs of death are present.
Sweden has a population of 9,995,153, occupying an area of 450,295 km2 . Approximately 85% of the Swedish population lives in cities. Ambulance provision is governed at county and municipal level, and vehicles are primarily staffed by nurses and paramedics. In some cities, physicians may also be part of the ambulance crew . Fire and police personnel are increasingly involved in providing a first response to OHCA in Sweden with public access defibrillators having been installed across the country .
The 2016 census showed that Ireland had a population of 4,757,976 . Ireland is significantly smaller than Sweden (68,890 km2) with approximately 63% living in urban areas. Statutory Emergency Medical Services (EMS) are provided by the National Ambulance Service (NAS). In Dublin city, Dublin Fire Brigade (DFB) also provides the statutory response. Paramedic and advanced paramedics are deployed to suspected OHCA events. Emergency medical technicians may also be deployed as support crew or first responders to OHCA calls. Community first responder (CFR) volunteerism is becoming increasingly prominent in Ireland, with approximately 150 CFR schemes now established across the country. A more detailed description of the Irish EMS has been published elsewhere .
Register managers from both countries met to examine variables collected in both registries and identify which variables were comparable. Data were extracted from both registries, including original and derived variables. Variables with excessive missing values for either country (> 25%) were excluded from further analysis (available as Additional file 1).
Data were analysed using IBM SPSS Statistics v22.0© and STATA/IC 13.0 for Windows©. A subgroup was extracted based on the Utstein recommendations and included only adult patients with a bystander-witnessed collapse, with presumed medical aetiology and initial shockable rhythm . A second subgroup of EMS-witnessed events was also extracted.
Variables were categorised into patient and event characteristics, interventions and outcomes. Where significant differences in variables were observed, further analysis of variables by 5 year age groups was performed.
Sweden is divided into 21 administrative counties while the Republic of Ireland is composed of 34 (hereafter referred to as ‘admin areas’). For each admin area, crude incidence rates were calculated for all cases, both subgroups and for three age categories: children (under 18 years); adults (18–64 years); older people (65 years and over). Crude rates were adjusted to account for the proportion of the total population by gender in each age group at admin area level. Swedish population figures were derived from Statistics Sweden data and were averaged for the years 2012–2014 for each admin area . Population estimates for the Republic of Ireland for each admin area were taken from the 2011 census . An average country value was calculated from admin area values for each age and gender group with their 95% confidence intervals. The analysis of variance method (ANOVA) was used to compare average incidence rates. A p-value of < 0.05 was considered significant.
For key variables, missing data were imputed using a fully conditioned specification (FCS) or chained equations imputation model . Imputation was performed separately for each country before data were merged for analysis.
Multivariable logistic regression analysis was used to identify predictors of the main outcome of interest (Discharge from hospital alive or alive at 30 days (Survival)). Models were estimated using original data (available as supplementary data) and imputed data. Potential explanatory variables were chosen based on previous literature and clinical relevance. Both ‘epinephrine’ and ‘mechanical CPR’ were initially included but were dropped due to insignificance. Interactions between the variable ‘Country’ and all other variables were checked. Due to non-linearity, the call-response interval variable was transformed into a binary variable for the regression analysis. Interactions which changed the Odds Ratios (ORs) for any of the main variables by more than 10% were included in the final model.
Model fit was assessed using imputed estimates adjusted R2, which were calculated using Harel’s method . Calibration of individual imputed models was assessed using the Hosmer and Lemeshow X 2 statistic (p > 0.05).
Patient, event and intervention characteristics
Comparison of case characteristics between Republic of Ireland and Sweden – all Cases, Utstein and EMS-witnessed subgroups
Number of patients
(n = 5886)
(n = 15,303)
(n = 920)
(n = 2015)
(n = 335)
(n = 2211)
Patient and scene characteristics
Median age in years (inter-quartile range)
Incident occurred outside home (%)
Presumed medical (%)
Initial rhythm shockable (%)
Witness status (%)
Not witnessed (%)
CPR before ambulance arrival (%)a
Who started CPR before ambulance arrival (%)
Bystander, not dispatched (%)
Trained, may be dispatched by ambulance control (%)
Fire service (%)b
Police or fire and police (%)
Defibrillation before ambulance arrival (%)a
EMS call-response interval in minutes (median)a
Mechanical CPR (%)
Transported to hospital
ROSC at hospital arrival or arrived at hospital alive
Discharged alive from hospital
Alive at 30 days
Discharged alive or alive at 30 days
There were differences between countries in who provided CPR. ‘Trained, may be dispatched by ambulance control’ included members of the community who had training in CPR i.e. community first responders, off-duty paramedics, nurses, doctors, other clinical personnel. While it is known that many of these individuals were dispatched to the event by ambulance control, it was not possible to accurately determine that proportion. In the Republic of Ireland, this category accounted for 33.5% of providers of CPR before ambulance arrival compared to 12.8% in Sweden. Conversely, in Sweden 28.2% of CPR before ambulance arrival was provided by the fire service compared with 2.8% in the Republic of Ireland. A greater proportion of Swedish patients received defibrillation before ambulance arrival, though the actual percentages in both countries were small (5.6% and 7.3%), and the median EMS call-response interval was significantly shorter in Sweden.
Differences in OHCA incidence and outcome between countries
Incidence of out-of-hospital cardiac arrest resuscitation attempts per 100,000 population per year
Incidence per 100,000 population per year (95% CI)
Proportion of surviving patients categorised by country, gender and age group
Extent of unmeasured variation between countries
Multivariable logistic regression analysis for the outcome survival in the Utstein subgroup (adult, bystander-witnessed, initial rhythm, shockable, presumed medical aetiology)
Adjusted Odds Ratio (95% CI)
Age (in years)
Not at home
CPR before ambulance arrival
Defibrillation attempted before ambulance arrival
Call Response Interval 5 min or less
Nagelkerke R2 adjusted
This patient-level analysis of 3 years of data from two well established national registries shows that the incidence of attempted resuscitation is similar for the Utstein subgroup in both countries, but that percentage survival is greater in Sweden than in the Republic of Ireland overall, for all age categories and both subgroups. Even when data from two countries has been collected using similar methods and rationale, the reasons for inter-country differences in outcome are not fully explained by the core Utstein variables used in this study.
Our study highlights that differences in OHCA outcomes between countries are not solely down to differences in patient age and gender profile or pre-hospital interventions. By using patient level data, this analysis serves to quantify the degree of variation that can be explained by inter-country comparison in a way that cannot be achieved with aggregate outcome data. The critical value of OHCA data collection is that it can focus national efforts on improving national outcomes [19, 20]. In the latest revision of the Utstein dataset, Perkins et al. advised on a range of core and supplemental OHCA elements that are likely to help explain a larger proportion of inter-country outcome variation, including pre-existing co-morbidities and in-hospital treatments and interventions . Implementation or improved systematic collection of these data elements is likely to explain substantial variation in outcome within and between countries.
There are clearly differences in the patient and intervention characteristics in both countries. On average, Swedish patients are older in all cases and in both subgroups, and the higher overall incidence of OHCA resuscitation is largely accounted for by the greater proportion of older OHCA patients in Sweden (Table 2). The explanation for this difference in age profile may lie in cultural attitudes and expectations surrounding death and morbidity in both countries. A survey of public attitudes to resuscitation in older people has not been previously carried out, but may help explain the significant difference in resuscitation incidence in this age category.
As also shown in Table 2, the incidence of Utstein subgroup cases is similar in both countries. This is likely to be largely driven by the fact that similar proportions of patients had an initial recorded shockable rhythm (23.7%). The ‘three phase model’ of cardiac arrest suggests that most patients will deteriorate into an asystole within 5 min without intervention . Considering the significantly shorter median EMS call response-interval in Sweden, it may have been expected that the proportion of Swedish patients with an initial recorded shockable rhythm would be greater than in the Republic of Ireland. One explanation may be the higher proportion of older people in the Swedish OHCA resuscitation population, as older people have been found to have a lower incidence of initial shockable rhythm . Additionally, a decline in the proportion of patients with an initial shockable rhythm has previously been observed in Sweden, despite efforts to improve call-to-shock times . It has been proposed that this decline may be due to a reduction in untreated ischaemic heart disease (IHD) in the Swedish population and that the proportion of cases with cardiac aetiology is less than presumed . Diagnosis of IHD continues to increase the Republic of Ireland and what proportion of this increase is due to increasing prevalence or improved detection is unclear . Both registries primarily rely on the clinical impression formed by the attending ambulance crew to determine the aetiology of arrest. Previous work on validation of aetiology in paediatric OHCA has shown the potential value of adding coronial data to an OHCA registry . It is suggested that inclusion of coronial data in the Swedish and Irish registries may assure the validity of data on aetiology and ensure realistic expectations for the proportion of cases with an initial shockable rhythm.
The proportion of CPR provided by those who were ‘trained, may be dispatched by ambulance control’ in the Republic of Ireland is encouraging (Table 1). The Republic of Ireland already has an active and growing Community First Responder (CFR) network. While there is evidence that trained first responders can contribute to survival, the best model of CFR is not yet determined . The fire service plays a greater role in the provision of CPR in Sweden, suggesting there is potential for Irish Fire Services to participate more often in the OHCA response. It should be noted that – despite the fact that that dual dispatch of ambulance and fire services in Sweden has been shown to have the greatest effect on response intervals in rural Swedish areas – survival benefit was most significant in densely populated areas . This suggests that there is a response interval beyond which any form of dual dispatch may not be of additional benefit to ambulance dispatch only.
Proportionate survival from OHCA is greater in Sweden for all patients, both subgroups and all age categories (Table 3). Patients who collapse in the presence of EMS are likely to receive good quality CPR and rapid defibrillation, which in turn is more likely to be immediately effective if performed soon after collapse . This is borne out in the relatively high proportion of survival in this subgroup in both countries, and partially explains the higher overall percentage survival in Sweden.
The multivariable logistic regression model of survival explains – at best – 17% of variation between countries, and includes a large ‘country effect’ in favour or Sweden that is not explained by the predictor variables (Table 4). Rather than suggesting that the chances of patients in the Utstein group surviving an OHCA are over four times greater in Sweden than in the Republic of Ireland, this result points to the large proportion of variation which is not explained by our Utstein predictor variables. The implication is that while improving the availability of important outcome predictors such as bystander CPR and defibrillation, and reducing EMS call response intervals is likely to increase survival in the Republic of Ireland, these measures alone are unlikely to achieve parity of outcomes with Sweden.
Simplified coding was applied to many variables in order to facilitate systematic registry recording and inter-country analysis. Most notably, we created the variable ‘Survival’ using the different outcome measures used in Sweden and the Republic of Ireland. In the Republic of Ireland, the primary outcome is ‘discharged alive from hospital’. Patients are not included as OHCA survivors until discharged, regardless of the length of their acute hospital stay. In Sweden survivors are classified as those who are alive 30 days or more after the event, even if the patient has not been discharged from an acute facility. While it is possible that Irish patients who are discharged alive may not survive to 30 days, it is also possible that Swedish patients may remain as in-patients for 30 days or more. Both outcome measures have been used interchangeably in other national comparative studies, and the use of either outcome measure has been recommended in the Utstein guidelines . In general, it is not usual for studies to report both these outcomes. In cases where both outcomes have been reported, there is negligible difference in the number of surviving patients [31, 32].
While the proportion of patients who had defibrillation attempted before ambulance arrival is similar for the Utstein subgroup in both countries, 14.8% of Swedish cases had missing data for this variable. Using the original data the adjusted OR for this variable in the logistic regression analysis was 1.41 (95% CI 1.11–1.78) compared to 1.40 (95%CI 1.13–2.74) using imputed data.
The ability to compare OHCA incidence and outcomes across countries and systems is essential to establishing international benchmarking. The use of patient-level data have highlighted the proportion of variation outside of the well-known predictors of OHCA outcome, something that is not possible in comparative studies that rely on aggregated data. We believe the approach used in this study is transferable to other comparative studies of OHCA national incidence and outcome, and that such an approach will improve the validity and value of inter-country comparison, whether for research or for the development of national outcome targets.
The authors wish to thank National Ambulance Service and Dublin Fire Brigade personnel who provided the data that has made this study possible, and the National Out-of-Hospital Cardiac Arrest (OHCAR) Steering Group who encouraged and facilitated this research. This study was supported by the Swedish Association of Local Authorities and Regions in Sweden, and was completed with.
This study was completed using funding from the Health Research Board Health Professionals Fellowship Grant, of which the first author is a recipient (HPF-2014-609).
Availability of data and materials
The data that support the findings of this study are available from OHCAR and the Swedish Registry of Resuscitation but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of the contributing ambulance service providers.
SM and AS conceived the idea for the study and prepared and extracted data for analysis. SM was responsible for data analysis and manuscript drafting. AS also contributed to manuscript discussion and drafting. AV and JC were responsible for supervising data analysis, commenting on manuscript drafting and approving the final draft. CD was responsible for contributing to and ensuring the clinical accuracy and relevance of the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Ethical approval for research using non-identifiable data was obtained from the Research Ethics Committee, National University of Ireland, Galway (07-Sep-12) and from the regional ethics committee in Gothenburg, Sweden (S392–00).
The authors declare that they have no competing interests
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- Chamberlain D, Eisenberg M. The Utstein cardiac arrest outcome reports. Resuscitation. 2009;80(2):288–9.View ArticlePubMedGoogle Scholar
- Berdowski J, et al. Global incidences of out-of-hospital cardiac arrest and survival rates: Systematic review of 67 prospective studies. Resuscitation. 2010;81(11):1479–87.View ArticlePubMedGoogle Scholar
- Nichol G, et al. Regional variation in out-of-hospital cardiac arrest incidence and outcome. JAMA. 2008;300(12):1423–31.View ArticlePubMedPubMed CentralGoogle Scholar
- Hasegawa K, et al. Regional variability in survival outcomes of out-of-hospital cardiac arrest: the All-Japan Utstein Registry. Resuscitation. 2013;84(8):1099–107.View ArticlePubMedGoogle Scholar
- Gräsner J-T, et al. EuReCa ONE; 27 Nations, ONE Europe, ONE Registry. Resuscitation. 2016;105:188–95.View ArticlePubMedGoogle Scholar
- Chamberlain D. Predictors of survival from out-of-hospital cardiac arrest. Heart. 2010;96(22):1785–6.View ArticlePubMedGoogle Scholar
- Nishiyama C, et al. Apples to apples or apples to oranges? International variation in reporting of process and outcome of care for out-of-hospital cardiac arrest. Resuscitation. 2014;85(11):1599–609.View ArticlePubMedPubMed CentralGoogle Scholar
- Holmberg M, et al. Survival after cardiac arrest outside hospital in Sweden. Swedish Cardiac Arrest Registry. Resuscitation. 1998;36(1):29–36.View ArticlePubMedGoogle Scholar
- Masterson S, et al. Urban and rural differences in out-of-hospital cardiac arrest in Ireland. Resuscitation. 2015;91:42–7.View ArticlePubMedGoogle Scholar
- Nolan JP, et al. European Resuscitation Council Guidelines for Resuscitation 2010 Section 1. Executive summary. Resuscitation. 2010;81(10):1219–76.View ArticlePubMedGoogle Scholar
- Statistics Sweden. Swedens population 2016 – population changes. Population statistics 2017 21/02/2017 [Cited 2017 22 02 2017]; Available from: http://www.scb.se/en/finding-statistics/statistics-by-subject-area/population/population-composition/population-statistics/pong/statistical-news/population-and-population-changes-in-sweden-2016/.
- Strömsöe A, et al. Association between population density and reported incidence, characteristics and outcome after out-of-hospital cardiac arrest in Sweden. Resuscitation. 2011;82(10):1307–13.View ArticlePubMedGoogle Scholar
- Stromsoe A, et al. Improvements in logistics could increase survival after out-of-hospital cardiac arrest in Sweden. J Intern Med. 2013;273(6):622–7.View ArticlePubMedGoogle Scholar
- Central Statistics Office, C. Census of Population 2016 - Preliminary Results. Census 2016 results 2016 [Cited 2017 22/02/2017]; Available from: http://www.cso.ie/en/releasesandpublications/ep/p-cpr/censusofpopulation2016-preliminaryresults/.
- Sweden, S.S. Statistics Sweden - Your Source of Knowledge. 2016 [Cited 2016 December]; Available from: http://www.scb.se/Grupp/OmSCB/Dokument/SCB-folder-engelsk.pdf.
- Central Statistics Office. This is Ireland, Highlights from the Census 2011, Part 1. Dublin: Central Statistics Office; 2012.Google Scholar
- van Buuren S. Multiple imputation of discrete and continuous data by fully conditional specification. Stat Methods Med Res. 2007;16(3):219–42.View ArticlePubMedGoogle Scholar
- Harel O. The estimation of R 2 and adjusted R 2 in incomplete data sets using multiple imputation. J Appl Stat. 2009;36(10):1109–18.View ArticleGoogle Scholar
- Global Resuscitation Alliance, Improving Survival from Out-of-Hospital Cardiac Arrest: A Call to Establish a Global Resuscitation Alliance. 2016. https://foundation915.files.wordpress.com/2016/07/a-call-to-establish-a-global-resuscitation-alliance-2016.pdf.
- Wissenberg M, et al. Association of National Initiatives to Improve Cardiac Arrest Management With Rates of Bystander Intervention and Patient Survival After Out-of-Hospital Cardiac Arrest. JAMA. 2013;310(13):1377–84.View ArticlePubMedGoogle Scholar
- Perkins GD, et al. Cardiac Arrest and Cardiopulmonary Resuscitation Outcome Reports: Update of the Utstein Resuscitation Registry Templates for Out-of-Hospital Cardiac Arrest: A Statement for Healthcare Professionals From a Task Force of the International Liaison Committee on Resuscitation (American Heart Association, European Resuscitation Council, Australian and New Zealand Council on Resuscitation, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Council of Southern Africa, Resuscitation Council of Asia); and the American Heart Association Emergency Cardiovascular Care Committee and the Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation. Resuscitation. 2015;96:328–40.View ArticlePubMedGoogle Scholar
- Weisfeldt ML. A three phase temporal model for cardiopulmonary resuscitation following cardiac arrest. Trans Am Clin Climatol Assoc. 2004;115:115–22. discussion 122PubMedPubMed CentralGoogle Scholar
- Wissenberg M, et al. Survival After Out-of-Hospital Cardiac Arrest in Relation to Age and Early Identification of Patients With Minimal Chance of Long-Term Survival. Circulation. 2015;131:1536–45. (18 %M 10.1161/CIRCULATIONAHA.114.013122) %U Google Scholar
- Ringh M, et al. Out of hospital cardiac arrest outside home in Sweden, change in characteristics, outcome and availability for public access defibrillation. Scand J Trauma Resusc Emerg Med. 2009;17:18.View ArticlePubMedPubMed CentralGoogle Scholar
- Youngquist ST, Kaji AH, Niemann JT. Beta-blocker use and the changing epidemiology of out-of-hospital cardiac arrest rhythms. Resuscitation. 2008;76(3):376–80.View ArticlePubMedGoogle Scholar
- Department of Health and Children. Changing Cardiovascular Health - National Cardiovascular Health Policy 2010–2019. Dublin: Department of Health and Children; 2010. p. 55.Google Scholar
- Deasy C, et al. Paediatric out-of-hospital cardiac arrests in Melbourne, Australia: improved reporting by adding coronial data to a cardiac arrest registry. Emerg Med J. 2013;30(9):740–4.View ArticlePubMedGoogle Scholar
- Smith LM, et al. Can lay responder defibrillation programmes improve survival to hospital discharge following an out-of-hospital cardiac arrest? Aust Crit Care. 2007;20(4):137–45.View ArticlePubMedGoogle Scholar
- Nordberg P, et al. The survival benefit of dual dispatch of EMS and fire-fighters in out-of-hospital cardiac arrest may differ depending on population density--a prospective cohort study. Resuscitation. 2015;90:143–9.View ArticlePubMedGoogle Scholar
- Strömsöe A, et al. Validity of reported data in the Swedish Cardiac Arrest Register in selected parts in Sweden. Resuscitation. 2013;84(7):952–6.View ArticlePubMedGoogle Scholar
- Blom MT, et al. Reduced in-hospital survival rates of out-of-hospital cardiac arrest victims with obstructive pulmonary disease. Resuscitation. 2013;84(5):569–74.View ArticlePubMedGoogle Scholar
- Steinmetz J, et al. Improved survival after an out-of-hospital cardiac arrest using new guidelines. Acta Anaesthesiol Scand. 2008;52(7):908–13.View ArticlePubMedGoogle Scholar