Abstract

Aims

International guidelines give recommendations for the management of comatose out-of-hospital cardiac arrest (OHCA) survivors. We aimed to investigate adherence to guidelines and disparities in the treatment of OHCA in hospitals in Europe.

Methods and results

A web-based, multi-institutional, multinational survey in Europe was conducted using an electronic platform with a predefined questionnaire developed by experts in post-resuscitation care. The survey was disseminated to all members of the societies via email, social media, websites, and newsletters in June 2021. Of 252 answers received, 237 responses from different units were included and 166 (70%) were from cardiac arrest centres. First-line vasopressor used was noradrenaline in 195 (83%) and the first-line inotrope was dobutamine in 148 (64%) of the responses. Echocardiography is available 24/7 in 204 (87%) institutions. Targeted temperature management was used in 160 (75%) institutions for adult comatose survivors of OHCA with an initial shockable rhythm. Invasive or external cooling methods with feedback were used in 72 cardiac arrest centres (44%) and 17 (24%) non-cardiac arrest centres (P < 0.0003). A target temperature between 32 and 34°C was preferred by 46 centres (21%); a target between 34 and 36°C by 103 centres (52%); and <37.5°C by 35 (16%). Multimodal neuroprognostication was poorly implemented and a follow-up at 3 months after discharge was done in 71 (30%) institutions.

Conclusion

Post-resuscitation care is not well established and varies among centres in European hospitals. Cardiac arrest centres have a higher coherence with guidelines compared with respondents from non-cardiac arrest centres. The overall inconsistency in approaches and deviation from recommendations could be a focus for improvement.

In line with the Journal's conflict of interest policy, this paper was handled by Borja Ibanez.

Introduction

An increasing number of adults are resuscitated from out-of-hospital cardiac arrest (OHCA) and require post-resuscitation care.1,2 In Europe, ∼40–80 per 100 000 habitants per year have an OHCA with only approximately one person in 10 surviving hospital discharge.15 In the patients remaining comatose after resuscitation and who need intensive care, the mortality remains as high as 40–60%.57 In comatose survivors of OHCA, hypoxic–ischaemic brain injury is the primary cause of mortality and long-term neurological disability in survivors.8 The goal of post-resuscitation care is to support organ function and optimize oxygen delivery to the brain and ultimately improve outcomes.3

Early in-hospital interventions involve haemodynamic optimization and acute coronary angiography with percutaneous coronary intervention (PCI) in selected patients.912 General intensive care measures and temperature control (TC) are instigated to mitigate hypoxic–ischaemic brain injury6 and support organ function. This also involves controlling oxygen and carbon dioxide values during mechanical ventilation and controlling blood glucose values.13 Neurological prognostication is a vital part of post-resuscitation care to identify patients destined to have a poor outcome and to give clarity to relatives. Previous studies have suggested that the implementation of therapies and outcomes varies between different European countries and some interventions may be underused.1417 However, because of the vast diversity in infrastructure and hospitals in Europe, these guideline recommendations might not be feasible in all areas. Treatment of patients with trauma, burns, or stroke in regional specialist centres is associated with improved outcomes and the same may apply to cardiac arrest patients treated in cardiac arrest centres.18,19

Objectives

The primary aim was to explore the current standard of post-resuscitation care throughout Europe. The secondary aim is to explore disparities in adherence to guidelines between cardiac arrest centres and non-cardiac arrest centres and, ultimately, to form a foundation for improved outcomes and quality of life of patients.

Methods

This is a cross-sectional, survey-based study assessing the current treatment practice of patients resuscitated from OHCA in European hospitals. The study was conducted by a task force initiated by the Association for Acute Cardiovascular Care (ACVC) of the European Society of Cardiology in collaboration with scientific societies of physicians treating comatose patients resuscitated from OHCA: European Resuscitation Council (ERC), European Society for Emergency Medicine (EUSEM) and European Society of Intensive Care Medicine (ESICM).

Objectives of the post-cardiac arrest management group

The survey was developed within the Post-Cardiac Arrest Management (POSTCAM) project. The overall objective of the project is to improve the quality of post-resuscitation care across Europe and to optimize patient care and outcomes. The project will conduct a gap analysis with the identification of adherence to guidelines in Europe and areas where the treatment of patients can be improved (Phase 1). Thereafter the development of international quality indicators (QIs), in line with the standards will be established, as has been done already nationally in Germany before.20 (Phase 2). Actions and tools will be developed for dissemination into countries to improve POSTCAM (Phase 3).

Based on existing scientific evidence and expert consensus, the objectives are to:

  • Explore the current standard of post-resuscitation care across Europe.

  • Reduce variation within and between countries and centres based on adherence to defined QIs.

  • Develop and set standards of reference and QIs to measure the improvement of post-resuscitation care.

  • Increase survival and improve neurological and quality of life outcomes of patients.

  • Improve post-resuscitation care of comatose, resuscitated OHCA patients.

  • Advocate for the need for hospital accreditation to reach or to implement standardization of care across Europe based on current international guidelines.

  • Raise awareness Europe-wide via the national societies across the disciplines involved

Design of the survey

The open and voluntary survey link was disseminated to all members of the involved societies via email, social media, websites, and newsletters on 1 June 2021 and closed on 31 July 2021.

The survey was designed using SurveyMonkey software (SurveyMonkey Inc., San Mateo, California, USA) containing 50 questions (Supplemental Digital Content 1, https://da.research.net/results/SM-YX8NQR3Y9/).

The survey questions comprised four categories—(i) cardiac arrest centres and prehospital care, (ii) TTM and early intensive care management, (iii) haemodynamic and acute coronary angiography, (iv) neuroprognostication and neurological follow-up post-discharge.

The survey included multiple-choice and open-ended (free text) questions. Cardiac arrest centres (CACs) were identified if centres fulfil specific criteria defined as (i) 24/7 availability of an on-site coronary angiography laboratory; (ii) an emergency department; (iii) an intensive care unit; (iv) imaging facilities such as echocardiography, computed tomography and magnetic resonance imaging; (v) and a protocol outlining the transfer of selected patients to cardiac arrest centres with additional resources  21 in order to achieve faster times to treatment and to be more compliant with guideline-recommended therapy.3 A draft was piloted by the task force leaders (J.G. and P.J.) and was discussed with the complete task force consisting of experts in post-resuscitation care. Following feedback, the survey underwent revision and further testing by the task force leaders. Through an online workshop by members with expertise in the field of post-resuscitation from all societies, the survey was once again revised and accepted for distribution.

The survey conformed to the Declaration of Helsinki’s ethical standards. Participation in the survey was voluntary, no incentives were offered for participation, no personal nor sensitive information was requested/collected, and all responses were anonymized. The task force considers this survey as a quality improvement project. No experimental, patient, or personal data were recorded or analysed. This was a survey among critical care physicians without the need for ethical approval by local ethics committees.

Data analysis

Data were exported from Survey Monkey software in a comma-separated value file format into Microsoft Excel for Mac (Washington, USA, Version 16.35). Categorical variables are presented as counts and percentages and differences were tested with the χ2 test or Fisher's exact test if expected counts were <five in the analysis. Continuous variables are presented as mean and standard deviation (±SD) if data were normally distributed and median and quartiles (q1–q3) for non-normal distributed data. Differences were tested with Mann–Whitney U test.

Data were divided into specialized centres characterized as cardiac arrest centres and non-cardiac arrest centres, based on previous consensus document.21 All completed questionnaires were computer-analysed, and the final data were double-checked before statistical analysis. Only one response per centre was included in the final analysis. Statistical analyses were performed using the SAS statistical software, version 9.4 (SAS Institute, Cary, NC).

Results

A total of 252 answers were received. Three responses were deleted due to extensive missing data, and after removing duplicates (n = 13), 237 responses from different units that admit comatose OHCA survivors were included for the analysis (Figure 1). Participants were representatives of different European societies involved in the post-resuscitation care of OHCA patients. The most common nationality was Spanish [32 (14%)], Greece [14 (6%)], Germany [13 (5,5%)], and the UK [13 (5,5%)] (see Supplementary material online, Table S1). Responders who are active in European societies (ACVC, ERC, ESICM, EUSEM), with non-European nationalities were accepted. Transnational differences within EU countries were also analyzed (see Supplementary material online, Table S2). Of all responses, 166 (70%) were from CACs, as shown in Table 1. Written protocols for the management of cardiac arrest patients are available and followed in 148 (63%) cases and 156 (66%) are part of a cardiac arrest network (receiving admissions from EMS (Emergency Medical Services) directly bypassing other hospitals or/and receiving patients from other hospitals). The median number of patients admitted per unit per year was 46.5 (quartiles 19–75). In cardiac arrest centres, the median was 50 (quartiles: 22–85) and 25 (quartiles: 6–51) in non-cardiac arrest centres, P < 0.0001 (Figure 2). A cardiac origin of the arrest was the most common cause with 126 (55%) being due to ST elevation myocardial infarction (STEMI) and 27% caused by non-STEMI (NSTEMI). An extracorporeal cardiopulmonary resuscitation (eCPR) programme coordinated with prehospital systems to receive patients with refractory OHCA existed in 97 (40%).

Participation in the survey.
Figure 1

Participation in the survey.

Box plot of number of patients per unit per year. Horizontal line indicates median. + indicates mean. Rectangular box covers 25 and 75 quartiles, whereas whiskers indicate minimum and maximum values.
Figure 2

Box plot of number of patients per unit per year. Horizontal line indicates median. + indicates mean. Rectangular box covers 25 and 75 quartiles, whereas whiskers indicate minimum and maximum values.

Table 1

Characteristics of guideline-recommended treatment and monitoring

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Type of unit (more than one answer possible):
ȃGeneral intensive care96 (41%)57 (35%)39 (54%)0.007
ȃCardiac intensive care91 (38%)78 (47%)13 (18%)<0.001
ȃEmergency department62 (26%)40 (24%)22 (31%)0.33
ȃCardio-thoracic intensive care16 (7%)16 (10%)00.006
Characteristics of the department
Follow written protocols for OHCA management148 (62%)113 (68%)35 (49%)0.01
Part of a cardiac arrest networka156 (66%)123 (75%)33 (46%)<0.001
eCPR programme97 (41%)90 (55%)7 (10%)<0.001
Number of comatose OHCA patients/year46.5 (19–75)50 (22–85)25 (6–51)<0.001
Most frequent type of OHCA:
ȃSTEMI126 (55%)100 (62%)26 (38%)<0.001
ȃCardiac cause without STEMI63 (27%)44 (27%)19 (28%)<0.001
ȃNon-cardiac cause41 (18%)18 (11%)23 (34%)<0.001
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Type of unit (more than one answer possible):
ȃGeneral intensive care96 (41%)57 (35%)39 (54%)0.007
ȃCardiac intensive care91 (38%)78 (47%)13 (18%)<0.001
ȃEmergency department62 (26%)40 (24%)22 (31%)0.33
ȃCardio-thoracic intensive care16 (7%)16 (10%)00.006
Characteristics of the department
Follow written protocols for OHCA management148 (62%)113 (68%)35 (49%)0.01
Part of a cardiac arrest networka156 (66%)123 (75%)33 (46%)<0.001
eCPR programme97 (41%)90 (55%)7 (10%)<0.001
Number of comatose OHCA patients/year46.5 (19–75)50 (22–85)25 (6–51)<0.001
Most frequent type of OHCA:
ȃSTEMI126 (55%)100 (62%)26 (38%)<0.001
ȃCardiac cause without STEMI63 (27%)44 (27%)19 (28%)<0.001
ȃNon-cardiac cause41 (18%)18 (11%)23 (34%)<0.001

Defined as: receiving admissions from EMS directly bypassing other hospitals or/and receiving patients from other hospital

Table 1

Characteristics of guideline-recommended treatment and monitoring

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Type of unit (more than one answer possible):
ȃGeneral intensive care96 (41%)57 (35%)39 (54%)0.007
ȃCardiac intensive care91 (38%)78 (47%)13 (18%)<0.001
ȃEmergency department62 (26%)40 (24%)22 (31%)0.33
ȃCardio-thoracic intensive care16 (7%)16 (10%)00.006
Characteristics of the department
Follow written protocols for OHCA management148 (62%)113 (68%)35 (49%)0.01
Part of a cardiac arrest networka156 (66%)123 (75%)33 (46%)<0.001
eCPR programme97 (41%)90 (55%)7 (10%)<0.001
Number of comatose OHCA patients/year46.5 (19–75)50 (22–85)25 (6–51)<0.001
Most frequent type of OHCA:
ȃSTEMI126 (55%)100 (62%)26 (38%)<0.001
ȃCardiac cause without STEMI63 (27%)44 (27%)19 (28%)<0.001
ȃNon-cardiac cause41 (18%)18 (11%)23 (34%)<0.001
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Type of unit (more than one answer possible):
ȃGeneral intensive care96 (41%)57 (35%)39 (54%)0.007
ȃCardiac intensive care91 (38%)78 (47%)13 (18%)<0.001
ȃEmergency department62 (26%)40 (24%)22 (31%)0.33
ȃCardio-thoracic intensive care16 (7%)16 (10%)00.006
Characteristics of the department
Follow written protocols for OHCA management148 (62%)113 (68%)35 (49%)0.01
Part of a cardiac arrest networka156 (66%)123 (75%)33 (46%)<0.001
eCPR programme97 (41%)90 (55%)7 (10%)<0.001
Number of comatose OHCA patients/year46.5 (19–75)50 (22–85)25 (6–51)<0.001
Most frequent type of OHCA:
ȃSTEMI126 (55%)100 (62%)26 (38%)<0.001
ȃCardiac cause without STEMI63 (27%)44 (27%)19 (28%)<0.001
ȃNon-cardiac cause41 (18%)18 (11%)23 (34%)<0.001

Defined as: receiving admissions from EMS directly bypassing other hospitals or/and receiving patients from other hospital

Immediate intensive care management

The first-line vasopressor was noradrenaline in 195 (83%) and the first-line inotrope was dobutamine in 148 (64%) of the cases. The target mean arterial pressure was >65 mmHg in 121 (52%) of the participant´s centres. Cardiac output (CO) was measured routinely in 38% of the centres, but 52% measured CO only in selected patients (methods for CO assessment are shown in Table 2). First echocardiography is performed on admission in 77% of the patients and 19% within the first 24 h. Two hundred and four (87%) participants have access to echocardiography 24/7. The availability of mechanical support devices is variable (Table 2), intra-aortic balloon pump (IABP) being the most common available device (136, 57%), followed by VA-ECMO and Impella devices. One hundred and eighty (72%) centres have 24/7 access to coronary angiography. In patients with STEMI, emergent coronary angiography is performed in 197 (79%) patients with STEMI and in 107 (45%) NSTEMI only when high suspicion of acute MI has been identified.

Table 2

Haemodynamic observation and interventions

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Diagnostic possibilities
ȃAccess to echocardiography 24/7204 (87%)158 (96%)46 (65%)<0.001
ȃAccess to coronary angiography 24/7165 (71%)154 (94%)11 (15%)<0.001
Methods used method for cardiac output monitoring
ȃDoppler echocardiography136 (57%)104 (63%)32 (44%)0.008
ȃPICCO136 (57%)104 (63%)32 (44%)0.007
ȃPulmonary artery catheter59 (24%)56 (34%)3 (4%)<0.001
ȃNever measured26 (11%)12 (7%)14 (19%)0.006
First-line vasopressor:
ȃNoradrenaline195 (83%)140 (85%)55 (79%)0.17
ȃAdrenaline32 (14%)19 (12%)13 (19%)0.16
ȃDopamine4 (2%)3 (2%)1 (1%)0.81
ȃother5 (2%)3 (2%)2 (2%)0.75
First-line inotropic drug if indicated:
ȃDobutamine148 (64%)109 (67%)39 (56%)0.24
ȃAdrenaline40 (17%)23 (14%)17 (24%)0.14
ȃMilrinone14 (6%)12 (7%)2 (3%)0.28
ȃDopamine13 (6%)10 (6%)3 (4%)0.19
ȃLevosimendan11 (5%)5 (3%)6 (9%)0.34
ȃOther7 (3%)4 (2%)3 (4%)0.87
Lower acceptable level of mean arterial pressure
ȃ > 55 mmHg7 (3%)5 (3%)2 (3%)
ȃ > 60 mmHg39 (17%)29 (18%)10 (14%)
ȃ > 65 mmHg121 (52%)84 (52%)37 (53%)
ȃ > 70 mmHg31 (14%)18 (11%)13 (19%)
ȃ > 75 mmHg10 (4%)8 (5%)2 (3%)
ȃNo level for blood pressure24 (10%)18 (11%)6 (9%)
Type of mechanical circulatory support device when indicated
ȃIABP136 (57%)122 (74%)14 (19%)<0.001
ȃECMO105 (44%)99 (60%)6 (8%)<0.001
ȃImpella76 (32%)74 (45%)2 (3%)<0.001
ȃNot possible71 (30%)19 (12%)52 (72%)<0.001
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Diagnostic possibilities
ȃAccess to echocardiography 24/7204 (87%)158 (96%)46 (65%)<0.001
ȃAccess to coronary angiography 24/7165 (71%)154 (94%)11 (15%)<0.001
Methods used method for cardiac output monitoring
ȃDoppler echocardiography136 (57%)104 (63%)32 (44%)0.008
ȃPICCO136 (57%)104 (63%)32 (44%)0.007
ȃPulmonary artery catheter59 (24%)56 (34%)3 (4%)<0.001
ȃNever measured26 (11%)12 (7%)14 (19%)0.006
First-line vasopressor:
ȃNoradrenaline195 (83%)140 (85%)55 (79%)0.17
ȃAdrenaline32 (14%)19 (12%)13 (19%)0.16
ȃDopamine4 (2%)3 (2%)1 (1%)0.81
ȃother5 (2%)3 (2%)2 (2%)0.75
First-line inotropic drug if indicated:
ȃDobutamine148 (64%)109 (67%)39 (56%)0.24
ȃAdrenaline40 (17%)23 (14%)17 (24%)0.14
ȃMilrinone14 (6%)12 (7%)2 (3%)0.28
ȃDopamine13 (6%)10 (6%)3 (4%)0.19
ȃLevosimendan11 (5%)5 (3%)6 (9%)0.34
ȃOther7 (3%)4 (2%)3 (4%)0.87
Lower acceptable level of mean arterial pressure
ȃ > 55 mmHg7 (3%)5 (3%)2 (3%)
ȃ > 60 mmHg39 (17%)29 (18%)10 (14%)
ȃ > 65 mmHg121 (52%)84 (52%)37 (53%)
ȃ > 70 mmHg31 (14%)18 (11%)13 (19%)
ȃ > 75 mmHg10 (4%)8 (5%)2 (3%)
ȃNo level for blood pressure24 (10%)18 (11%)6 (9%)
Type of mechanical circulatory support device when indicated
ȃIABP136 (57%)122 (74%)14 (19%)<0.001
ȃECMO105 (44%)99 (60%)6 (8%)<0.001
ȃImpella76 (32%)74 (45%)2 (3%)<0.001
ȃNot possible71 (30%)19 (12%)52 (72%)<0.001
Table 2

Haemodynamic observation and interventions

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Diagnostic possibilities
ȃAccess to echocardiography 24/7204 (87%)158 (96%)46 (65%)<0.001
ȃAccess to coronary angiography 24/7165 (71%)154 (94%)11 (15%)<0.001
Methods used method for cardiac output monitoring
ȃDoppler echocardiography136 (57%)104 (63%)32 (44%)0.008
ȃPICCO136 (57%)104 (63%)32 (44%)0.007
ȃPulmonary artery catheter59 (24%)56 (34%)3 (4%)<0.001
ȃNever measured26 (11%)12 (7%)14 (19%)0.006
First-line vasopressor:
ȃNoradrenaline195 (83%)140 (85%)55 (79%)0.17
ȃAdrenaline32 (14%)19 (12%)13 (19%)0.16
ȃDopamine4 (2%)3 (2%)1 (1%)0.81
ȃother5 (2%)3 (2%)2 (2%)0.75
First-line inotropic drug if indicated:
ȃDobutamine148 (64%)109 (67%)39 (56%)0.24
ȃAdrenaline40 (17%)23 (14%)17 (24%)0.14
ȃMilrinone14 (6%)12 (7%)2 (3%)0.28
ȃDopamine13 (6%)10 (6%)3 (4%)0.19
ȃLevosimendan11 (5%)5 (3%)6 (9%)0.34
ȃOther7 (3%)4 (2%)3 (4%)0.87
Lower acceptable level of mean arterial pressure
ȃ > 55 mmHg7 (3%)5 (3%)2 (3%)
ȃ > 60 mmHg39 (17%)29 (18%)10 (14%)
ȃ > 65 mmHg121 (52%)84 (52%)37 (53%)
ȃ > 70 mmHg31 (14%)18 (11%)13 (19%)
ȃ > 75 mmHg10 (4%)8 (5%)2 (3%)
ȃNo level for blood pressure24 (10%)18 (11%)6 (9%)
Type of mechanical circulatory support device when indicated
ȃIABP136 (57%)122 (74%)14 (19%)<0.001
ȃECMO105 (44%)99 (60%)6 (8%)<0.001
ȃImpella76 (32%)74 (45%)2 (3%)<0.001
ȃNot possible71 (30%)19 (12%)52 (72%)<0.001
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Diagnostic possibilities
ȃAccess to echocardiography 24/7204 (87%)158 (96%)46 (65%)<0.001
ȃAccess to coronary angiography 24/7165 (71%)154 (94%)11 (15%)<0.001
Methods used method for cardiac output monitoring
ȃDoppler echocardiography136 (57%)104 (63%)32 (44%)0.008
ȃPICCO136 (57%)104 (63%)32 (44%)0.007
ȃPulmonary artery catheter59 (24%)56 (34%)3 (4%)<0.001
ȃNever measured26 (11%)12 (7%)14 (19%)0.006
First-line vasopressor:
ȃNoradrenaline195 (83%)140 (85%)55 (79%)0.17
ȃAdrenaline32 (14%)19 (12%)13 (19%)0.16
ȃDopamine4 (2%)3 (2%)1 (1%)0.81
ȃother5 (2%)3 (2%)2 (2%)0.75
First-line inotropic drug if indicated:
ȃDobutamine148 (64%)109 (67%)39 (56%)0.24
ȃAdrenaline40 (17%)23 (14%)17 (24%)0.14
ȃMilrinone14 (6%)12 (7%)2 (3%)0.28
ȃDopamine13 (6%)10 (6%)3 (4%)0.19
ȃLevosimendan11 (5%)5 (3%)6 (9%)0.34
ȃOther7 (3%)4 (2%)3 (4%)0.87
Lower acceptable level of mean arterial pressure
ȃ > 55 mmHg7 (3%)5 (3%)2 (3%)
ȃ > 60 mmHg39 (17%)29 (18%)10 (14%)
ȃ > 65 mmHg121 (52%)84 (52%)37 (53%)
ȃ > 70 mmHg31 (14%)18 (11%)13 (19%)
ȃ > 75 mmHg10 (4%)8 (5%)2 (3%)
ȃNo level for blood pressure24 (10%)18 (11%)6 (9%)
Type of mechanical circulatory support device when indicated
ȃIABP136 (57%)122 (74%)14 (19%)<0.001
ȃECMO105 (44%)99 (60%)6 (8%)<0.001
ȃImpella76 (32%)74 (45%)2 (3%)<0.001
ȃNot possible71 (30%)19 (12%)52 (72%)<0.001

Routine administration of steroids, seizure, or antibiotics prophylaxis was infrequent with 11 (5%), 30 (10%), and 65 (30%), respectively, and with no differences between CAC and other centres.

Temperature control

TC was used in 160 centres (75%) in adult comatose survivors of OHCA with an initial shockable rhythm and 142 (66%) with non-shockable rhythm, starting in 65% of the centres in the ICU, with statistically significant more frequent use in CACs, following either shockable (P < 0.006) and non-shockable rhythm (P < 0.06). Invasive or external methods with feedback are used in 72 CACs (44%) and in 17 (24%) non-CACs (Table 3). The target temperature was very variable: a target between 32 and 34°C was preferred by 46 centres (21%); a target between 34 and 36°C by 103 centres (52%); and a < 37.5°C objective is selected by 35 (16%) participants (Figure 3). Duration of TC after rewarming was very variable with 64 (31%) centres aiming for 72 h and with no significant differences between CACs and non-CACs as shown in Table 3.

Temperature control practices following OHCA. TTM, targeted temperature management; ICU, intensive care unit; ED, Emergency Department; CA centre, cardiac arrest centre.
Figure 3

Temperature control practices following OHCA. TTM, targeted temperature management; ICU, intensive care unit; ED, Emergency Department; CA centre, cardiac arrest centre.

Table 3

General intensive care and targeted temperature management

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Prophylactic drugs
Routinely administration of steroids11 (5%)7 (5%)4 (7%)0.52
Routinely administration of seizure prophylaxis30 (10%)16 (12%)4 (7%)0.38
Routinely administration of prophylactic antibiotics:65 (30%)47 (30%)18 (30%)0.94
Targeted temperature management
ȃroutinely use of TTM for initial shockable rhythm160 (75%)123 (80%)37 (60%)0.006
ȃroutinely use of TTM for initial non-shockable rhythm142 (66%)108 (70%)34 (57%)0.06
Place of TTM induction
ȃICU141 (66%)100 (65%)41 (70%)0.43
ȃEmergency Department32 (15%)24 (15%)8 (14%)
ȃCath lab10 (5%)9 (6%)1 (2%)
ȃOther10 (4%)9 (6%)1 (2%)
TTM-methods (more than one is possible)
ȃAntipyretic medication104 (44%)69 (42%)35 (49%)0.33
ȃCold fluids99 (42%)69 (42%)30 (42%)0.98
ȃExternal cooling without feedback109 (46%)71 (43%)38 (53%)0.25
ȃInvasive and external cooling with feedback89 (38%)72 (44%)17 (24%)0.0003
Level of target temperature
ȃ < 32°C1 (0.5%)0 (0%)1 (2%)
ȃbetween 32–34°C46 (21%)38 (25%)8 (13%)0.04
ȃBetween 34–36°C103 (52%)82 (53%)31 (50%)
ȃ < 37.5°C35 (16%)21 (14%)14 (23%)
Duration of TTM including fever control after cooling
ȃ24 h in total from start of TTM28 (14%)20 (14%)8 (14%)
ȃ48 h in total from start of TTM29 (14%)24 (16%)5 (9%)
ȃ72 h in total from start of TTM64 (31%)49 (33%)15 (26%)0.31
ȃMore than 72 h if patient has fever25 (12%)18 (12%)7 (26%)
ȃOther60 (29%)37 (25%)23 (40%)
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Prophylactic drugs
Routinely administration of steroids11 (5%)7 (5%)4 (7%)0.52
Routinely administration of seizure prophylaxis30 (10%)16 (12%)4 (7%)0.38
Routinely administration of prophylactic antibiotics:65 (30%)47 (30%)18 (30%)0.94
Targeted temperature management
ȃroutinely use of TTM for initial shockable rhythm160 (75%)123 (80%)37 (60%)0.006
ȃroutinely use of TTM for initial non-shockable rhythm142 (66%)108 (70%)34 (57%)0.06
Place of TTM induction
ȃICU141 (66%)100 (65%)41 (70%)0.43
ȃEmergency Department32 (15%)24 (15%)8 (14%)
ȃCath lab10 (5%)9 (6%)1 (2%)
ȃOther10 (4%)9 (6%)1 (2%)
TTM-methods (more than one is possible)
ȃAntipyretic medication104 (44%)69 (42%)35 (49%)0.33
ȃCold fluids99 (42%)69 (42%)30 (42%)0.98
ȃExternal cooling without feedback109 (46%)71 (43%)38 (53%)0.25
ȃInvasive and external cooling with feedback89 (38%)72 (44%)17 (24%)0.0003
Level of target temperature
ȃ < 32°C1 (0.5%)0 (0%)1 (2%)
ȃbetween 32–34°C46 (21%)38 (25%)8 (13%)0.04
ȃBetween 34–36°C103 (52%)82 (53%)31 (50%)
ȃ < 37.5°C35 (16%)21 (14%)14 (23%)
Duration of TTM including fever control after cooling
ȃ24 h in total from start of TTM28 (14%)20 (14%)8 (14%)
ȃ48 h in total from start of TTM29 (14%)24 (16%)5 (9%)
ȃ72 h in total from start of TTM64 (31%)49 (33%)15 (26%)0.31
ȃMore than 72 h if patient has fever25 (12%)18 (12%)7 (26%)
ȃOther60 (29%)37 (25%)23 (40%)
Table 3

General intensive care and targeted temperature management

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Prophylactic drugs
Routinely administration of steroids11 (5%)7 (5%)4 (7%)0.52
Routinely administration of seizure prophylaxis30 (10%)16 (12%)4 (7%)0.38
Routinely administration of prophylactic antibiotics:65 (30%)47 (30%)18 (30%)0.94
Targeted temperature management
ȃroutinely use of TTM for initial shockable rhythm160 (75%)123 (80%)37 (60%)0.006
ȃroutinely use of TTM for initial non-shockable rhythm142 (66%)108 (70%)34 (57%)0.06
Place of TTM induction
ȃICU141 (66%)100 (65%)41 (70%)0.43
ȃEmergency Department32 (15%)24 (15%)8 (14%)
ȃCath lab10 (5%)9 (6%)1 (2%)
ȃOther10 (4%)9 (6%)1 (2%)
TTM-methods (more than one is possible)
ȃAntipyretic medication104 (44%)69 (42%)35 (49%)0.33
ȃCold fluids99 (42%)69 (42%)30 (42%)0.98
ȃExternal cooling without feedback109 (46%)71 (43%)38 (53%)0.25
ȃInvasive and external cooling with feedback89 (38%)72 (44%)17 (24%)0.0003
Level of target temperature
ȃ < 32°C1 (0.5%)0 (0%)1 (2%)
ȃbetween 32–34°C46 (21%)38 (25%)8 (13%)0.04
ȃBetween 34–36°C103 (52%)82 (53%)31 (50%)
ȃ < 37.5°C35 (16%)21 (14%)14 (23%)
Duration of TTM including fever control after cooling
ȃ24 h in total from start of TTM28 (14%)20 (14%)8 (14%)
ȃ48 h in total from start of TTM29 (14%)24 (16%)5 (9%)
ȃ72 h in total from start of TTM64 (31%)49 (33%)15 (26%)0.31
ȃMore than 72 h if patient has fever25 (12%)18 (12%)7 (26%)
ȃOther60 (29%)37 (25%)23 (40%)
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Prophylactic drugs
Routinely administration of steroids11 (5%)7 (5%)4 (7%)0.52
Routinely administration of seizure prophylaxis30 (10%)16 (12%)4 (7%)0.38
Routinely administration of prophylactic antibiotics:65 (30%)47 (30%)18 (30%)0.94
Targeted temperature management
ȃroutinely use of TTM for initial shockable rhythm160 (75%)123 (80%)37 (60%)0.006
ȃroutinely use of TTM for initial non-shockable rhythm142 (66%)108 (70%)34 (57%)0.06
Place of TTM induction
ȃICU141 (66%)100 (65%)41 (70%)0.43
ȃEmergency Department32 (15%)24 (15%)8 (14%)
ȃCath lab10 (5%)9 (6%)1 (2%)
ȃOther10 (4%)9 (6%)1 (2%)
TTM-methods (more than one is possible)
ȃAntipyretic medication104 (44%)69 (42%)35 (49%)0.33
ȃCold fluids99 (42%)69 (42%)30 (42%)0.98
ȃExternal cooling without feedback109 (46%)71 (43%)38 (53%)0.25
ȃInvasive and external cooling with feedback89 (38%)72 (44%)17 (24%)0.0003
Level of target temperature
ȃ < 32°C1 (0.5%)0 (0%)1 (2%)
ȃbetween 32–34°C46 (21%)38 (25%)8 (13%)0.04
ȃBetween 34–36°C103 (52%)82 (53%)31 (50%)
ȃ < 37.5°C35 (16%)21 (14%)14 (23%)
Duration of TTM including fever control after cooling
ȃ24 h in total from start of TTM28 (14%)20 (14%)8 (14%)
ȃ48 h in total from start of TTM29 (14%)24 (16%)5 (9%)
ȃ72 h in total from start of TTM64 (31%)49 (33%)15 (26%)0.31
ȃMore than 72 h if patient has fever25 (12%)18 (12%)7 (26%)
ȃOther60 (29%)37 (25%)23 (40%)

Neuroprognostication

A standardized protocol for neurological examination was performed by 188 (79%) centres, increasing to 84% in CAC, with 18% using quantitative pupillometry. Brain CT scan is the most common head imaging test (169, 71% of the participants) and MRI is used in 46% of the centres. The first CT brain scan is performed always on admission in 28% of the centres and 45% only if no clear cause of cardiac arrest has been identified. Neuron-specific enolase (NSE) is the preferred biomarker used in 166 (49%) centres with increasing use in CACs (56% vs. 33% in non-CACs, P 0002). Intermittent electroencephalography (EEG) is the most common neurophysiological test and is performed in 173 (73%) participants, and somatosensory-evoked potentials (SSEPs) are used in 102 (42%) centres. All different variables analysed for neuroprognostication are more often performed in CACs, except the use of quantitative pupillometry (Table 4).

Table 4

Neuroprognostication practices in post-cardiac arrest patients

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Methods are used for prognostication
ȃNeurological examination188 (79%)138 (84%)50 (69%)0.01
ȃBrain CT169 (71%)123 (75%)46 (64%)0.09
ȃBrain MRI108 (46%)82 (50%)26 (36%)0.05
ȃQuantitative pupillometry42 (18%)30 (18%)12 (17%)0.78
ȃNSE116 (49%)92 (56%)24 (33%)0.002
ȃEEG173 (73%)130 (79%)43 (60%)0.002
ȃSSEP102 (42%)77 (47%)25 (35%)0.09
ȃBispectral index70 (30%)56 (34%)14 (19%)0.02
Routine follow-up of all survivors within 3 months71 (37%)55 (40%)16 (30%)0.19
Screen for cognitive challenges within 3 months66 (73%)53 (80%)13 (54%)0.01
Screen for emotional challenges and fatigue within 3 months59 (65%)46 (70%)13 (52%)0.11
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Methods are used for prognostication
ȃNeurological examination188 (79%)138 (84%)50 (69%)0.01
ȃBrain CT169 (71%)123 (75%)46 (64%)0.09
ȃBrain MRI108 (46%)82 (50%)26 (36%)0.05
ȃQuantitative pupillometry42 (18%)30 (18%)12 (17%)0.78
ȃNSE116 (49%)92 (56%)24 (33%)0.002
ȃEEG173 (73%)130 (79%)43 (60%)0.002
ȃSSEP102 (42%)77 (47%)25 (35%)0.09
ȃBispectral index70 (30%)56 (34%)14 (19%)0.02
Routine follow-up of all survivors within 3 months71 (37%)55 (40%)16 (30%)0.19
Screen for cognitive challenges within 3 months66 (73%)53 (80%)13 (54%)0.01
Screen for emotional challenges and fatigue within 3 months59 (65%)46 (70%)13 (52%)0.11
Table 4

Neuroprognostication practices in post-cardiac arrest patients

Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Methods are used for prognostication
ȃNeurological examination188 (79%)138 (84%)50 (69%)0.01
ȃBrain CT169 (71%)123 (75%)46 (64%)0.09
ȃBrain MRI108 (46%)82 (50%)26 (36%)0.05
ȃQuantitative pupillometry42 (18%)30 (18%)12 (17%)0.78
ȃNSE116 (49%)92 (56%)24 (33%)0.002
ȃEEG173 (73%)130 (79%)43 (60%)0.002
ȃSSEP102 (42%)77 (47%)25 (35%)0.09
ȃBispectral index70 (30%)56 (34%)14 (19%)0.02
Routine follow-up of all survivors within 3 months71 (37%)55 (40%)16 (30%)0.19
Screen for cognitive challenges within 3 months66 (73%)53 (80%)13 (54%)0.01
Screen for emotional challenges and fatigue within 3 months59 (65%)46 (70%)13 (52%)0.11
Overall n = 237Cardiac arrest centre n = 165 (70%)Not cardiac arrest centre n = 72 (30%)P-value
Methods are used for prognostication
ȃNeurological examination188 (79%)138 (84%)50 (69%)0.01
ȃBrain CT169 (71%)123 (75%)46 (64%)0.09
ȃBrain MRI108 (46%)82 (50%)26 (36%)0.05
ȃQuantitative pupillometry42 (18%)30 (18%)12 (17%)0.78
ȃNSE116 (49%)92 (56%)24 (33%)0.002
ȃEEG173 (73%)130 (79%)43 (60%)0.002
ȃSSEP102 (42%)77 (47%)25 (35%)0.09
ȃBispectral index70 (30%)56 (34%)14 (19%)0.02
Routine follow-up of all survivors within 3 months71 (37%)55 (40%)16 (30%)0.19
Screen for cognitive challenges within 3 months66 (73%)53 (80%)13 (54%)0.01
Screen for emotional challenges and fatigue within 3 months59 (65%)46 (70%)13 (52%)0.11

Organ donation in cases of brain death is considered in 208 (88%) centres and 69% of the centres after withdrawal of life-sustaining therapy in patients with circulatory death. One hundred and sixty-eight participating centres (73%) perform a functional assessment, physical and non-physical before hospital discharge, and 71 (30%) centres have a follow-up programme within 3 months after discharge, assessing cognitive and emotional problems in 73% and 65% of the patients who were followed.

Discussion

Our results provide valuable cross-sectional information on the status of POSTCAM and implementation of guidelines in Europe and highlight the role of CACs. CACs admit more patients per year, units are better equipped and guideline recommendations3 are better implemented than non-cardiac arrest centres. Other surveys in Europe16 and the UK22 were published before 2015 ERC–ESICM guideline recommendations23 or just after and showed that treatments vary considerably between different centres and countries. The latest ERC guidelines recommendations3 were published in 2021 and 2022,24 before the survey was distributed.

Treatment of the patient who has restoration of spontaneous circulation (ROSC) after OHCA is complex and depends on the coordinated actions of diverse healthcare providers, including EMS personnel, emergency medicine physicians, cardiologists, critical care physicians, nurses, and other key personnel.3 Some studies and registries have shown an association between patients treated in high volume centres and better outcomes.25 A CAC may be defined as (i) 24/7 availability of an on-site coronary angiography laboratory; (ii) an emergency department; (iii) an intensive care unit; (iv) imaging facilities such as echocardiography, computed tomography, and magnetic resonance imaging; (v) and a protocol outlining the transfer of selected patients to cardiac arrest centres with additional resources  21 in order to achieve faster times to treatment and to be more compliant with guideline-recommended therapy.3 The implementation of CACs provides a high level of specialization and a high volume of post-resuscitation care patients, which is associated with improved patient care.2628

Inconsistent data have been reported to support the minimum number of OHCA patients that should be treated each year by hospitals. However, treating <40 patients/year seems to be associated with an improved outcome. Our data document a median of 46.5 patients treated per centre per year, increasing to a median of 50 in CAC, showing consistency with previous data.25,29

Our results have shown poor implementation of the guidelines with respect to accessibility to 24/7 ultrasound or on-site coronary angiography, although this is better in CACs (96% and 94% of follow-up). Written protocols in the management of post-resuscitated CA may improve patient safety and guide clinicians,30 but application of protocols is poor even in CACs (overall 62% and 66% in non-CACs and CACs respectively).

The emerging role of eCPR31 use in refractory cardiac arrest needs regional organization between different systems involved (pre- and in-hospital). Establishing an eCPR programme requires considerable resources to implement effectively, and not all healthcare systems have sufficient resources.32 This aspect is highlighted in our results showing that in CACs availability is higher [CAC 90 (55%) vs. non-CAC 7 (10%), P < 0.001]. Whether or not this will change in the coming years is uncertain. Intubation and mechanical ventilation are indicated in patients with ROSC who remain comatose, in addition to avoiding hyperoxia, which is why they have not been requested in this survey.

Haemodynamic management and early angiography

Recent ERC/ESICM post-resuscitation care guidelines3 recommend avoiding hypotension and adjusted target MAP to achieve adequate urine output and normal or decreasing lactate.3 In our results, half of the participants (52%) aim for an MAP of ≥ 65 mmHg and around 11% do not have a specific target if perfusion is adequate. Variability in the answers may reflect insufficient evidence to recommend specific haemodynamic goals and should be considered on an individual patient basis. Our results are consistent with ERC/ESICM post-resuscitation care guidelines recommendations3 for noradrenaline and dobutamine as the first-line agents. Interestingly, adrenaline was used as the first vasopressor or inotrope in 14% and 17% of patients, respectively, in spite of the rising evidence suggesting a harmful effect in this setting.33 Furthermore, dobutamine use is low and did not have differences between CAC and non-CAC, in contrast with guidelines-first inotrope recommendation. Despite no benefit on outcomes with the use of IABP, this is still the most available device. The ease of use, its accessibility, and the low risk of complications make it a device of choice for many centres. However, the availability of Impella and extracorporeal membrane oxygenation (ECMO) devices is increasing (45% and 60%, respectively), in CACs. The organization of the CAC requires close collaboration with the local STEMI network. Early coronary angiography is indicated in ST elevation ECG following ROSC but not in the case of patients with stable circulation without STE in the ECG, where latest the randomized trials11,3436 did not show benefit in this setting compared with delayed angiography during the same admission. Coronary artery disease is present in many patients with NoSTEMI, but the presence of an acute unstable lesion considered responsible for triggering cardiac arrest is less common, occurring in nearly 30% of the patients. More trials are ongoing and may provide more evidence in this field (DISCO NCT02309151), so our results presumably can change in the next few years.

Temperature control

TC is associated with improved neurological outcomes after OHCA, but the optimal target temperature has been the focus of debate. Several studies have been published in the last few years.6,3739 Latest ERC/ESICM post-resuscitation care guidelines3 recommend for adults the remaining comatose after either OHCA or IHCA (with any initial rhythm) active prevention of fever (defined as a temperature > 37.7°C) for at least 72 h. The Targeted Hypothermia (33°C) Versus Targeted Normothermia (37.8°C) After Out-of-hospital Cardiac Arrest (TTM-2) trial did not document a lower incidence of death by 6 months than targeted normothermia.38 Whether specific subpopulations may benefit from lower temperatures remains uncertain.39,40 Data from our survey revealed that one of four CACs do not use TC in post-resuscitation care after cardiac arrest with shockable rhythms and one of three do not use TC after non-shockable rhythm cardiac arrests. Thus, even those working in CACs did not follow existing guidelines. Since the publication of the TTM-2 trial, there have been changes in temperature management in several intensive care units but TC and avoidance of fever in the first 72 h remain important and should not be abandoned.41 The ideal TC method is not well established in the literature,42,43 but methods with feedback seem to be superior to methods without temperature feedback.44 Again, the heterogeneity of clinical practice in this respect is evident from our results, with some centres having advanced technology and others continuing to use traditional means, with potentially lower efficacy and a heavier workload for the units. The variability in the method used may be determined by hospital protocols and economic implications.

Neuroprognostication

Accurate prognostication is essential so that inappropriate withdraw of life-sustaining therapy (WLST), and futile treatment is avoided in patients with severe and irreversible neurological injury. No single predictor is 100% accurate. An evaluation must begin with a neurological examination which, surprisingly, is not performed in all centres. Reasons could be related that evaluation may require transfer to another centre or department (i.e. neurology). Also, the availability of neuroprognostication tests varies even among CACs, and there is limited availability of SSEPs and NSE in many centres. ERC/ESICM post-resuscitation care guidelines recommend that neuroprognostication should always be undertaken using a multimodal approach because no single test has sufficient specificity to eliminate false positives.45 Use of a prognostication algorithm by staff with relevant expertise may enable more reliable identification of patients destined to have poor outcomes.46

Organ donation after brain death or controlled donation after circulatory death varies between countries and is likely to reflect local legal and ethical requirements. However, by collecting expertise in CACs, WLST discussions may be improved thus enhancing patient selection for potential organ donation.

Rehabilitation and follow-up

Functional assessments of physical and non-physical impairments should be conducted prior to discharge from the hospital so that early rehabilitation needs can be identified and to enable referral to rehabilitation if necessary.3 Organization varies widely between hospitals and countries. Our results show that 3 of 4 patients are assessed before discharge but 3-month follow-up is infrequent (37% of the centres). The implementation of specialized teams should be organized by the treating centre to improve patient care and to enable early detection of cognitive and emotional problems.

The importance of cardiac arrest centres

Evidence of the impact on the survival of CACs is limited but an association with improvement in survival to hospital discharge with favourable neurological outcome has been shown in some studies.4750 These data are associated with evidence-based resuscitation care and treatments, from prehospital coordination and an in-hospital protocolized cardiorespiratory support and prognostication.51,52 The differing availability of resources throughout Europe determines that the treatment recommended by the ERC/ESICM post-resuscitation care cannot be guaranteed for all patients with OHCA and this may impact on prognosis.21

Survival after OHCA requires a strong and early application of the chain of survival.53 The fourth link, post-resuscitation care starts with good communication and coordination with EMS delivering regional systems to give the best care in the best place—the CAC. Our results show how CACs have better adherence to clinical practice guidelines than non-CACs. Cardiac arrest centres are better equipped with essential resources such as ultrasound, coronary angiography, CT scan or TC. However, working with written protocols to avoid variability, the application and duration of TC to improve neurological outcomes, and the availability and use of multimodal neuroprognostication algorithms are variable. Early rehabilitation and follow-up of survivors are very infrequent. Most of the CAC participants have the resources, but special attention should be given to the care, based on the clinical practice guidelines, that we are currently giving to resuscitated patients from OHCA.

Limitations

Selection bias of respondents limits external validity, since only a fraction of the total hospitals in Europe and some major European regions are underrepresented, and results may have been different in a larger sample. Second, our study is a cross-sectional survey and results should be considered exploratory. Outcomes were not measured, and it was not possible to correlate these with guidelines implementation. Based on our data, we cannot determine whether one treatment practise is superior to another but only describe whether treatment practices adhere to guidelines. There may be variations in adherence to guidelines due to non-clinical factors, such as financial, historical, and local expertize, and exploring these was beyond the scope of this survey. Third, data were self-reported from local registries or protocols and could be approximations in some cases.

Conclusion

This survey revealed that post-resuscitation care varies among European hospitals. Cardiac arrest centres have higher compliance with guidelines compared with respondents from non-cardiac arrest centres. The overall inconsistency in approaches and deviation from ERC/ESICM post-resuscitation care Guidelines recommendations could be a focus for improvement in future initiatives.

Supplementary material

Supplementary material is available at European Heart Journal: Acute Cardiovascular Care online.

Funding

This document is part of the ACVC Postcam programme (European Initiative to optimize post-resuscitation care following cardiac arrest). This programme is supported by Becton Dickinson (BD) in the form of an educational grant. The programme has not been influenced in any way by its sponsor.

References

1

Atwood
 
C
,
Eisenberg
 
MS
,
Herlitz
 
J
,
Rea
 
TD
.
Incidence of EMS-treated out-of-hospital cardiac arrest in Europe
.
Resuscitation
 
2005
;
67
:
75
80
.

2

Gräsner
 
JT
,
Lefering
 
R
,
Koster
 
RW
,
Masterson
 
S
,
Böttiger
 
BW
,
Herlitz
 
J
, et al.
Eureca ONE-27 nations, ONE Europe, ONE registry: a prospective one month analysis of out-of-hospital cardiac arrest outcomes in 27 countries in Europe
.
Resuscitation
 
2016
;
105
:
188
195
.

3

Nolan
 
JP
,
Sandroni
 
C
,
Böttiger
 
BW
,
Cariou
 
A
,
Cronberg
 
T
,
Friberg
 
H
, et al.
European Resuscitation council and European society of intensive care medicine guidelines 2021: post-resuscitation care
.
Resuscitation
 
2021
;
161
:
220
269
.

4

Lyon
 
RM
,
Cobbe
 
SM
,
Bradley
 
JM
,
Grubb
 
NR
.
Surviving out of hospital cardiac arrest at home: a postcode lottery?
 
Emerg Med J
 
2004
;
21
:
619
624
.

5

Sondergaard
 
KB
,
Riddersholm
 
S
,
Wissenberg
 
M
,
Moller Hansen
 
S
,
Barcella
 
CA
,
Karlsson
 
L
, et al.
Out-of-hospital cardiac arrest: 30-day survival and 1-year risk of anoxic brain damage or nursing home admission according to consciousness status at hospital arrival
.
Resuscitation
 
2020
;
148
:
251
258
.

6

Nielsen
 
N
,
Wetterslev
 
J
,
Cronberg
 
T
,
Erlinge
 
D
,
Gasche
 
Y
,
Hassager
 
C
, et al.
Targeted temperature management at 33°C versus 36°C after cardiac arrest
.
N Engl J Med
 
2013
;
369
:
2197
2206
.

7

Carr
 
BG
,
Kahn
 
JM
,
Merchant
 
RM
,
Kramer
 
AA
,
Neumar
 
RW
.
Inter-hospital variability in post-cardiac arrest mortality
.
Resuscitation
 
2009
;
80
:
30
34
.

8

Laver
 
S
,
Farrow
 
C
,
Turner
 
D
,
Nolan
 
J
.
Mode of death after admission to an intensive care unit following cardiac arrest
.
Intensive Care Med
 
2004
;
30
:
2126
2128
.

9

Desch
 
S
,
Freund
 
A
,
Akin
 
I
,
Behnes
 
M
,
Preusch
 
MR
,
Zelniker
 
TA
, et al.  
Angiography after out-of-hospital cardiac arrest without ST-segment elevation
.
N Engl J Med
 
2021
;
385
:2544–2553.

10

Grand
 
J
,
Hassager
 
C
,
Skrifvars
 
MB
,
Tiainen
 
M
,
Grejs
 
AM
,
Jeppesen
 
AN
, et al.
Haemodynamics and vasopressor support during prolonged targeted temperature management for 48 h after out-of-hospital cardiac arrest: a post hoc substudy of a randomised clinical trial
.
Eur Heart J Acute Cardiovasc Care
 
2020
:
2048872620934305
.

11

Bro-Jeppesen
 
J
,
Annborn
 
M
,
Hassager
 
C
,
Wise
 
MP
,
Pelosi
 
P
,
Nielsen
 
N
, et al. TTM Investigators.
Hemodynamics and vasopressor support during targeted temperature management at 33°C versus 36°C after out-of-hospital cardiac arrest: a post hoc study of the target temperature management trial*
.
Crit Care Med
 
2015
;
43
:
318
327
.

12

Ameloot
 
K
,
Jakkula
 
P
,
Hästbacka
 
J
,
Reinikainen
 
M
,
Pettilä
 
V
,
Loisa
 
P
, et al.
Optimum blood pressure in patients with shock after acute myocardial infarction and cardiac arrest
.
J Am Coll Cardiol
 
2020
;
76
:
812
824
.

13

Walters
 
EL
,
Morawski
 
K
,
Dorotta
 
I
,
Ramsingh
 
D
,
Lumen
 
K
,
Bland
 
D
, et al.
Implementation of a post-cardiac arrest care bundle including therapeutic hypothermia and hemodynamic optimization in comatose patients with return of spontaneous circulation after out-of-hospital cardiac arrest: a feasibility study
.
Shock
 
2011
;
35
:
360
366
.

14

Gasparetto
 
N
,
Scarpa
 
D
,
Rossi
 
S
,
Persona
 
P
,
Martano
 
L
,
Bianchin
 
A
, et al.
Therapeutic hypothermia in Italian intensive care units after 2010 resuscitation guidelines: still a lot to do
.
Resuscitation
 
2014
;
85
:
376
380
.

15

Storm
 
C
,
Meyer
 
T
,
Schroeder
 
T
,
Wutzler
 
A
,
Jörres
 
A
,
Leithner
 
C
.
Use of target temperature management after cardiac arrest in Germany–a nationwide survey including 951 intensive care units
.
Resuscitation
 
2014
;
85
:
1012
1017
.

16

Storm
 
C
,
Nee
 
J
,
Sunde
 
K
,
Holzer
 
M
,
Hubner
 
P
,
Taccone
 
FS
, et al.
A survey on general and temperature management of post cardiac arrest patients in large teaching and university hospitals in 14 European countries-the SPAME trial results
.
Resuscitation
 
2017
;
116
:
84
90
.

17

Gräsner
 
JT
,
Wnent
 
J
,
Herlitz
 
J
,
Perkins
 
GD
,
Lefering
 
R
,
Tjelmeland
 
I
, et al.
Survival after out-of-hospital cardiac arrest in Europe—results of the EuReCa TWO study
.
Resuscitation
 
2020
;
148
:
218
226
.

18

Xian
 
Y
,
Holloway
 
RG
,
Chan
 
PS
,
Noyes
 
K
,
Shah
 
MN
,
Ting
 
HH
, et al.  
Association between stroke center hospitalization for acute ischemic stroke and mortality
.
JAMA
 
2011
;
305
:
373
380
.

19

MacKenzie
 
EJ
,
Rivara
 
FP
,
Jurkovich
 
GJ
,
Nathens
 
AB
,
Frey
 
KP
,
Egleston
 
BL
, et al.  
A national evaluation of the effect of trauma-center care on mortality
.
N Engl J Med
 
2006
;
354
:
366
378
.

20

Scholz
 
KH
,
Busch
 
HJ
,
Frey
 
N
,
Kelm
 
M
,
Rott
 
N
,
Thiele
 
H
, et al.
[Quality indicators and structural requirements for cardiac arrest centers-update 2021]
.
Notf Rett Med
 
2021
:
1
5
.

21

Sinning
 
C
,
Ahrens
 
I
,
Cariou
 
A
,
Beygui
 
F
,
Lamhaut
 
L
,
Halvorsen
 
S
, et al.
The cardiac arrest centre for the treatment of sudden cardiac arrest due to presumed cardiac cause—aims, function and structure: position paper of the association for acute CardioVascular care of the European society of cardiology (AVCV), European association of percutaneous coronary interventions (EAPCI), European heart rhythm association (EHRA), European resuscitation council (ERC), European society for emergency medicine (EUSEM) and European society of intensive care medicine (ESICM)
.
Eur Heart J Acute Cardiovasc Care
 
2020
;
9
:
S193
S202
.

22

Ford
 
AH
,
Clark
 
T
,
Reynolds
 
EC
,
Ross
 
C
,
Shelley
 
K
,
Simmonds
 
L
, et al.
Management of cardiac arrest survivors in UK intensive care units: a survey of practice
.
J Intensive Care Soc
 
2016
;
17
:
117
121
.

23

Nolan
 
JP
,
Soar
 
J
,
Cariou
 
A
,
Cronberg
 
T
,
Moulaert
 
VRM
,
Deakin
 
CD
, et al.
European Resuscitation council and European society of intensive care medicine 2015 guidelines for post-resuscitation care
.
Intensive Care Med
 
2015
;
41
:2039–2056.

24

Nolan
 
JP
,
Sandroni
 
C
,
Andersen
 
LW
,
Böttiger
 
BW
,
Cariou
 
A
,
Cronberg
 
T
, et al.
ERC-ESICM guidelines on temperature control after cardiac arrest in adults
.
Resuscitation
 
2022
:
S0300–9572(22)00010–7
.

25

Søholm H, Kjaergaard J, Bro-Jeppesen J, Hartvig-Thomsen J, Lippert F, Køber L, et al.  

Prognostic implications of level-of-care at tertiary heart centers compared with other hospitals after resuscitation from out-of-hospital cardiac arrest
.
Circ Cardiovasc Qual Outcomes
 
2015
;
8
:
268
276
.

26

Nichol G, Aufderheide TP, Eigel B, Neumar RW, Lurie KG, Bufalino VJ, et al.  

Regional systems of care for out-of-hospital cardiac arrest: a policy statement from the American heart association
.
Circulation
 
2010
;
121
:
709
729
.

27

Yeung
 
J
,
Bray
 
J
,
Reynolds
 
J
,
Matsuyama
 
T
,
Skrifvars
 
M
,
Lang
 
E
, et al.
Cardiac Arrest Centers versus Non-Cardiac Arrest Centers—Adults. Consensus on Science and Treatment Recommendations [Internet] Brussels, Belgium: International Liaison Committee on Resuscitation (ILCOR) EIT and ALS Task Forces, 2019 January 3023. Available from
: http://ilcor.org.

28

Schober A, Sterz F, Laggner AN, Poppe M, Sulzgruber P, Lobmeyr E, et al.  

Admission of out-of-hospital cardiac arrest victims to a high volume cardiac arrest center is linked to improved outcome
.
Resuscitation
 
2016
;
106
:
42
48
.

29

Tranberg T, Lippert FK, Christensen EF, Stengaard C, Hjort J, Lassen JF, et al.  

Distance to invasive heart centre, performance of acute coronary angiography, and angioplasty and associated outcome in out-of-hospital cardiac arrest: a nationwide study
.
Eur Heart J
 
2017
;
38
:
1645
1652
.

30

Sunde
 
K
,
Pytte
 
M
,
Jacobsen
 
D
,
Mangschau
 
A
,
Jensen
 
LP
,
Smedsrud
 
C
, et al.  
Implementation of a standardised treatment protocol for post resuscitation care after out-of-hospital cardiac arrest
.
Resuscitation
 
2007
;
73
:
29
39
.

31

Yannopoulos
 
D
,
Bartos
 
J
,
Raveendran
 
G
,
Walser
 
E
,
Connett
 
J
,
Murray
 
TA
, et al.
Advanced reperfusion strategies for patients with out-of-hospital cardiac arrest and refractory ventricular fibrillation (ARREST): a phase 2, single centre, open-label, randomised controlled trial
.
Lancet
 
2020
;
396
:
1807
1816
.

32

Abrams D, MacLaren G, Lorusso R, Price S, Yannopoulos D, Vercaemst L, et al.  

Extracorporeal cardiopulmonary resuscitation in adults: evidence and implications
.
Intensive Care Med
 
2022
;
48
:
1
15
.

33

Bougouin
 
W
,
Slimani
 
K
,
Renaudier
 
M
,
Binois
 
Y
,
Paul
 
M
,
Dumas
 
F
, et al.
Epinephrine versus norepinephrine in cardiac arrest patients with post-resuscitation shock
.
Intensive Care Med
 
2022
;
48
:
300
310
.

34

Lemkes
 
JS
,
Spoormans
 
EM
,
Demirkiran
 
A
,
Leutscher
 
S
,
Janssens
 
GN
,
van der Hoeven
 
NW
, et al.
The effect of immediate coronary angiography after cardiac arrest without ST-segment elevation on left ventricular function. A sub-study of the COACT randomised trial
.
Resuscitation
 
2021
;
164
:
93
100
.

35

Spaulding
 
C
,
Hauw-Berlemont
 
C
,
Lamhaut
 
L
,
Diehl
 
JL
,
Andreotti
 
C
,
Varenne
 
O
, et al.
Abstract 9462: emergency versus delayed coronary angiogram in survivors of out-of-hospital cardiac arrest without st segment elevation: results of the EMERGE trial
.
Circulation
 
2021
;
144
:
A9462
.

36

Lascarrou JB, Merdji H, Le Gouge A, Colin G, Grillet G, Girardie P, et al.  

Targeted temperature management for cardiac arrest with nonshockable rhythm
.
N Engl J Med
 
2019
;
381
:
2327
2337
.

37

Viana-Tejedor A, Andrea-Riba R, Scardino C, Ariza-Solé A, Bañeras J, García-García C, et al.  

Coronary angiography in patients without ST-segment elevation following out-of-hospital cardiac arrest
.
Rev Esp Cardiol (Engl Ed)
 
2022
:
S1885–5857(22)00122–0
.

38

Le May M, Osborne C, Russo J, So D, Chong AY, Dick A, et al.  

Effect of moderate vs mild therapeutic hypothermia on mortality and neurologic outcomes in comatose survivors of out-of-hospital cardiac arrest: the CAPITAL CHILL randomized clinical trial
.
JAMA
 
2021
;
326
:
1494
1503
.

39

Dankiewicz
 
J
,
Cronberg
 
T
,
Lilja
 
G
,
Jakobsen
 
JC
,
Levin
 
H
,
Ullén
 
S
, et al.
Hypothermia versus normothermia after out-of-hospital cardiac arrest
.
N Engl J Med
 
2021
;
384
:
2283
2294
.

40

Bray JE, Stub D, Bloom JE, Segan L, Mitra B, Smith K, et al.  

Changing target temperature from 33 degrees C to 36 degrees C in the ICU management of out-of- hospital cardiac arrest: a before and after study
.
Resuscitation
 
2017
;
113
:
39
–43.

41

Taccone
 
FS
,
Lascarrou
 
JB
,
Skrifvars
 
MB
.
Targeted temperature management and cardiac arrest after the TTM-2 study
.
Crit Care
 
2021
;
25
:
275
.

42

Nolan
 
JP
,
Abella
 
BS
.
Postresuscitation care and prognostication
.
Curr Opin Crit Care
 
2021
;
27
:
649
655
.

43

Gillies
 
MA
,
Pratt
 
R
,
Whiteley
 
C
,
Borg
 
J
,
Beale
 
RJ
,
Tibby
 
SM
.
Therapeutic hypothermia after cardiac arrest: a retrospective comparison of surface and endovascular cooling techniques
.
Resuscitation
 
2010
;
81
:
1117
1122
.

44

Oh
 
SH
,
Oh
 
JS
,
Kim
 
YM
,
Park
 
KN
,
Choi
 
SP
,
Kim
 
GW
, et al.  
An observational study of surface versus endovascular cooling techniques in cardiac arrest patients: a propensity-matched analysis
.
Crit Care
 
2015
;
19
:
85
.

45

Ramadanov
 
N
,
Arrich
 
J
,
Klein
 
R
,
Herkner
 
H
,
Behringer
 
W
.
Intravascular versus surface cooling in patients resuscitated from cardiac arrest: a systematic review and network meta-analysis with focus on temperature feedback
.
Crit Care Med
 
2022
;
50
:999–1009.

46

Sandroni C, D'Arrigo S, Cacciola S, Hoedemaekers CWE, Kamps MJA, Oddo M, et al.  

Prediction of poor neurological outcome in comatose survivors of cardiac arrest:a systematic review
.
Intensive Care Med
 
2020
;
46
:1803–1851.

47

Scarpino M, Lolli F, Lanzo G, Carrai R, Spalletti M, Valzania F, et al.  

Does a combination of ≥2 abnormal tests vs. The ERC-ESICM stepwise algorithm improve prediction of poor neurological outcome after cardiac arrest? A post- hoc analysis of the ProNeCA multicentre study
.
Resuscitation
 
2021
;
160
:158–167.

48

Patterson T, Perkins GD, Joseph J, Wilson K, Van Dyck L, Robertson S, et al.  

A randomised trial of expedited transfer to a cardiac arrest centre for non-ST elevation ventricular fibrillation out-of-hospital cardiac arrest: the ARREST pilot randomised trial
.
Resuscitation
 
2017
;
115
:
185
–191.

49

Matsuyama T, Kiyohara K, Kitamura T, Nishiyama C, Nishiuchi T, Hayashi Y, et al.  

Hospital characteristics and favourable neurological outcome among patients with out-of- hospital cardiac arrest in Osaka, Japan
.
Resuscitation
 
2017
;
110
:
146
153
.

50

Kragholm K, Malta Hansen C, Dupre ME, Xian Y, Strauss B, Tyson C, et al.  

Direct transport to a percutaneous cardiac intervention center and outcomes in patients with out-of-hospital cardiac arrest
.
Circ Cardiovasc Qual Outcomes
 
2017
;
10
:
e003414
.

51

Spaite DW, Bobrow BJ, Stolz U, Berg RA, Sanders AB, Kern KB, et al.  

Statewide regionalization of post-arrest care for out-of-hospital cardiac arrest: association with survival and neurologic outcome
.
Ann Emerg Med
 
2014
;
64
:496–506.e1.

52

Yeung
 
J
,
Matsuyama
 
T
,
Bray
 
J
,
Reynolds
 
J
,
Skrifvars
 
MB
.
Does care at a cardiac arrest centre improve outcome after out-of-hospital cardiac arrest? A systematic review
.
Resuscitation
 
2019
;
137
:
102
115
.

53

Olasveengen TM, Semeraro F, Ristagno G, Castren M, Handley A, Kuzovlev A, et al.  

European Resuscitation council guidelines 2021: basic life support
.
Resuscitation
 
2021
;
161
:98–114.

Author notes

Conflict of interest: None declared.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

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