Literature DB >> 36000900

Systematic review and meta-analysis comparing low-flow duration of extracorporeal and conventional cardiopulmonary resuscitation.

Loes Mandigers1,2, Eric Boersma3, Corstiaan A den Uil1,3,4, Diederik Gommers1, Jan Bělohlávek5, Mirko Belliato6, Roberto Lorusso7, Dinis Dos Reis Miranda1.   

Abstract

OBJECTIVES: After cardiac arrest, a key factor determining survival outcomes is low-flow duration. Our aims were to determine the relation of survival and low-flow duration of extracorporeal cardiopulmonary resuscitation (ECPR) and conventional cardiopulmonary resuscitation (CCPR) and if these 2 therapies have different short-term survival curves in relation to low-flow duration.
METHODS: We searched Embase, Medline, Web of Science and Google Scholar from inception up to April 2021. A linear mixed-effect model was used to describe the course of survival over time, based on study-specific and time-specific aggregated survival data.
RESULTS: We included 42 observational studies reporting on 1689 ECPR and 375 751 CCPR procedures. Of the included studies, 25 included adults, 13 included children and 4 included both. In adults, survival curves decline rapidly over time (ECPR 37.2%, 29.8%, 23.8% and 19.1% versus CCPR-shockable 36.8%, 7.2%, 1.4% and 0.3% for 15, 30, 45 and 60 min low-flow, respectively). ECPR was associated with a statistically significant slower decline in survival than CCPR with initial shockable rhythms (CCPR-shockable). In children, survival curves decline rapidly over time (ECPR 43.6%, 41.7%, 39.8% and 38.0% versus CCPR-shockable 48.6%, 20.5%, 8.6% and 3.6% for 15, 30, 45 and 60 min low-flow, respectively). ECPR was associated with a statistically significant slower decline in survival than CCPR-shockable.
CONCLUSIONS: The short-term survival of ECPR and CCPR-shockable patients both decline rapidly over time, in adults as well as in children. This decline of short-term survival in relation to low-flow duration in ECPR was slower than in conventional cardiopulmonary resuscitation. TRIAL REGISTRATION: Prospero: CRD42020212480, 2 October 2020.
© The Author(s) 2022. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery.

Entities:  

Keywords:  Cardiac arrest; Cardiopulmonary resuscitation; Extracorporeal cardiopulmonary resuscitation; Heart arrest; Survival

Mesh:

Year:  2022        PMID: 36000900      PMCID: PMC9491846          DOI: 10.1093/icvts/ivac219

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


INTRODUCTION

Despite mounting research, cardiac arrest remains a major cause of death worldwide [1]. Although improvements have been seen in the conventional cardiopulmonary resuscitation (CCPR), in the education of laypersons to perform basic life support, and in the use of defibrillators or automated external defibrillators, survival outcomes after cardiac arrest remain poor. Previous studies have shown that various prognostic factors are associated with short-term survival, including age, initial cardiac rhythm, time to return of spontaneous circulation (ROSC), whether or not bystanders attempt basic life support, and how quickly this basic life support is provided [2-4]. Of these prognostic factors, time to ROSC has a major influence on this short-term survival and—unlike factors such as age—is also a factor over which we have some control [5]. One way of shortening the low-flow duration could be the use of extracorporeal cardiopulmonary resuscitation (ECPR). ECPR involves applying an extracorporeal membrane oxygenator during CPR and can be used in both out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA). Due to transportation times, the use of ECPR in OHCA patients can be more challenging, whilst most hospitals use maximum low-flow durations in order to be eligible for ECPR. Despite the possible advantages of the use of ECPR to shorten low-flow duration and improve outcomes, one should take into account that this therapy is expensive and could result in severe complications. The low-flow duration is defined as the elapsed interval from resuscitation until one of 3 endpoints: ROSC, artificial return of circulation using ECPR or death. ECPR treatment is used to limit ischaemic damage and buy time to resolve the cause of cardiac arrest. In a randomized controlled trial, survival outcome of ECPR patients was much higher than in CCPR patients [6]. Two recent meta-analyses have shown the potential benefit on short-term survival of adding ECPR to CCPR [7, 8]. It is clear that the longer the low-flow state is present, the poorer the survival outcome will be [9-11]. The most recent meta-analysis showed that a shorter low-flow duration in ECPR is associated with improved survival [8]. Previously propensity-matched observational studies show different results ranging from improved outcomes for ECPR to no difference in outcomes for ECPR and CCPR [12-17]. Information regarding low-flow duration and survival will contribute to organize ECPR treatment as efficient as possible. Therefore, the aims of this systematic review and meta-analysis were therefore to determine (i) the relation of survival and low-flow duration of both ECPR and CCPR and (ii) if ECPR and CCPR have different survival curves in relation to low-flow duration. We intended to stratify these analyses for adults and children and for OHCA and IHCA.

MATERIALS AND METHODS

This systematic review and meta-analysis are performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines [18] and it is listed in the PROSPERO register with registration number CRD42020212480. Study eligibility criteria, search study selection, data extraction and risk of bias assessment are described in detail in the Supplementary Material, Appendix S1. In short, a systematic search in Embase, Medline, Web of Science and Google Scholar was performed from inception up to April 2021. All studies including at least 20 OHCA or IHCA patients treated with ECPR or CCPR were included. Two researchers screened and included the studies and performed data extraction, including study characteristics, patient characteristics, clinical characteristics and outcomes.

Statistical analysis

The study characteristics, patient characteristics, clinical characteristics and outcomes were described for each study. The studies were grouped by adults, children or both. We report continuous variables using mean and standard deviation (SD) or median and interquartile ranges (IQR) where applicable. We report categorical variables using numbers and percentages. As primary outcome, we studied the relation of short-term survival and low-flow duration. As secondary outcome, the short-term survival in relation to low-flow duration of ECPR and CCPR were compared. Outcome measures differed by study. Studies in which hospital survival was mentioned, this was used as the primary outcome parameter. For studies in which only neurologically intact survival was mentioned, or 30-day, 90-day or 1-year survival: all these outcome parameters were considered as ‘hospital survival’. Including all of these patients will result in a lower short-term survival rate than the actual survival rate and therefore this will be an underestimation of short-term survival. Actual numbers would be higher. If only intensive care unit survival was mentioned in the study, these studies were excluded. In case no individual data were available, we contacted the authors for the exact low-flow durations, followed by a reminder after 1 month if necessary. If we received no response or if the data were not available, we used the time intervals of low-flow duration. In order to be able to analyse the data of the studies which reported individual data, we had to cluster the low-flow durations with a minimum of 5 events per group. For the studies of which only low-flow duration intervals were available, we calculated the average value of every time interval per study, as this was the best possible approximation for the value of each individual patient. Next, for the maximum values, mostly a value ‘higher than’ (>) a specific value was mentioned. We approximated this value by calculating the mean (SD) and determined low-flow duration belonging to the 87.5 percentile. If there was no mean value mentioned in the articles, we used the median (IQR). Linear mixed effect (LME) models were used to describe the course of survival over time in relation to ECPR versus CCPR, while accounting for clustering of data within a study. The 2log probability of survival was modelled as a function of time, based on study- and time-specific aggregated survival data, which were weighed according to the inverse variance method. Results are presented as exponential functions. We analysed data of adults and children separately. In adults and in children, we combined shockable and non-shockable initial cardiac rhythm for ECPR patients due to the limited amount of data. For CCPR patients, shockable initial cardiac rhythm (CCPR-shockable) and non-shockable initial cardiac rhythm (CCPR-non-shockable) were analysed separately. We compared ECPR patients to CCPR-shockable patients as shockable rhythm is usually an inclusion criterion for ECPR. Also, ECPR patients are mostly selected based on patient criteria which increase the chances of favourable outcome, as CCPR-shockable patients are the patients with expected better outcomes than in CCPR-non-shockable patients. By selecting the CCPR-shockable patients, mostly patients with cardiac cause of arrest will be included. In case studies including CCPR patients in which initial cardiac rhythm was not classified, were excluded for the analysis.

RESULTS

Study selection

We identified 5117 studies with our search, after removing duplicates, there were 2461 studies remaining. After title and abstract screening, 193 studies were selected for full-text screening. Of those, 48 were excluded because the outcomes were not presented in time intervals, 34 were excluded because the primary endpoint could not be obtained, 9 were excluded because of multiple studies in the same cohort, 9 studies were excluded because these only included patients achieving ROSC and 51 were excluded for other reasons, as shown in Fig. 1. Finally, we included 42 studies (N = 417,133) [9, 11, 14, 19–57], of which 25 studies included only adult patients, 13 studies included only children and 4 studies included both.
Figure 1:

Flowchart of study selection using the PRISMA guidelines.

Flowchart of study selection using the PRISMA guidelines.

Characteristics

Table 1 shows the study characteristics and a more detailed description is shown in Supplementary Material, Table S100. Three of the adult studies included patients treated with ECPR or CCPR, 11 studies included only patients treated with ECPR and 10 included only patients treated with CCPR. In the studies in children, 1 study included patients treated with ECPR or CCPR, 5 studies included only patients treated with ECPR and 7 studies included only patients treated with CCPR. In the studies including both adults and children, 1 study included patients treated with ECPR or CCPR, 2 studies included only patients treated with ECPR and 1 study included only patients treated with CCPR.
Table 1:

Study characteristics

NoStudyYearAdults/Children/BothStudy designInclusion periodSetting (single/multi-centre)Maximum follow-up durationECPR/CCPR/bothPatient numberFollow-up duration included in analysesMean low-flow duration (min)
Studies in adults
1Adnet [9]2017AdultsDescriptive2011–2015Multi30 daysCCPR27 30130 days30.0 (10.0–50.0)
2Bartos [51]2020AdultsCase-control2015–2019MultiHospital stayBoth1134Hospital stayECPR 60.0 ± 1.0
CCPR 35.0 ± 1.0
3Chen [21]2008AdultsDescriptive1994–2005Single5 yearsECPR135Hospital stay52.8 ± 37.2
4Chou [22]2014AdultsCase-control2006–2010SingleHospital stayBoth66Hospital stayECPR 59.7 ± 34.1
CCPR 49.4 ± 34.6
5Dumot [23]2001AdultsDescriptive1994–1995SingleHospital stayCCPR445Hospital stayNR
6Ferguson [24]2008AdultsDescriptive2001–2005Single6 monthsCCPR256Hospital stayNR
7Fjolner [45]2017AdultsDescriptive2011–2015SingleHospital stayECPR21Hospital stay121.0 (55.0–192.0)
8Goldberger [25]2012AdultsDescriptive2000–2008MultiHospital stayCCPR64 339Hospital stay17.0 (10.0–26.0)
9Grunau [27]2018AdultsDescriptive2007–2011MultiHospital stayCCPR5674Hospital stay13.0 (7.2–20.8)
10Haneya [47]2012AdultsDescriptive2007–2012SingleHospital stayECPR85Hospital stay51.0 ± 35.0
11Kim [14]2014AdultsCohort2006–2013Single3 monthsBoth4993 monthsECPR 62.0 (47.0–89.0)
CCPR 35 (21.0–50.0)
12Mandigers [55]2021AdultsDescriptive2010–2020SingleHospital stayECPR84Hospital stay51.0 (37.0–80.0)
13Murakami [52]2020AdultsDescriptive2010–2015Single30 daysECPR163030 daysNR
14Nagao [34]2016AdultsDescriptive2005–2012Multi30 daysCCPR28 218330 daysNR
15Otani [35]2018AdultsDescriptive2009–2017SingleHospital stayECPR135Hospital stay47.0 (43.0–57.0)
16Park [50]2019AdultsDescriptive2013–2016MultiHospital stayECPR689Hospital stayNR
17Pionkowski [36]1983AdultsDescriptive1978–1982SingleHospital stayCCPR565Hospital stayNR
18Pound [53]2020AdultsDescriptive2017–2018MultiHospital stayCCPR152Hospital stay6.0 (2.0–18.0)
19Reynolds [38]2016AdultsDescriptive2007–2010MultiHospital stayCCPR11 368Hospital stay20.0 (12.0–27.3)
20Rosenberg [39]1993AdultsDescriptive1988–1989MultiHospital stayCCPR300Hospital stayNR
21Siao [57]2020AdultsDescriptive2012–2017SingleHospital stayECPR112Hospital stay46.0 (35.0–57.0)
22Valentin [48]1995AdultsDescriptive1989–1991SingleHospital stayCCPR253Hospital stay30.7 (SD/IQR not mentioned)
23Wang [42]2014AdultsCohort2007–2012SingleHospital stayECPR230Hospital stayOHCA 67.5 ± 30.6
IHCA 44.4 ± 24.7
24Wengenmayer [11]2017AdultsCohort2010–2016SingleHospital stayECPR133Hospital stay59.6 ± 5.0
25Yukawa [44]2017AdultsDescriptive2011–2015SingleHospital stayECPR79Hospital stay45.0 (40.0–56.5)
Studies in children
26Bembea [19]2013ChildrenDescriptive2000–2014MultiHospital stayECPR593Hospital stay48.0 (28.0–70.0)
27Ganesan [46]2018Childrendescriptive2012–2014SingleHospital stayCCPR137Hospital stay20.0 (SD/IQR not mentioned)
28Goto [26]2016ChildrenDescriptive2005–2012Multi30 daysCCPR12 87730 daysNR
29Innes [49]1993ChildrenDescriptive1990–1991Single1 yearCCPR4130 daysNR
30Kalloghlian [29]1998ChildrenDescriptive1989–1992SingleHospital stayCCPR234Hospital stayNR
31Kramer [54]2020ChildrenDescriptive2005–2016SingleHospital stayECPR72Hospital stay60.0 (42.0–80.0)
32Lopez [31]2004ChildrenDescriptive1998–1999Multi1 yearCCPR2831 yearNR
33Lopez [30]2013ChildrenDescriptive2007–2009MultiHospital stayCCPR502Hospital stayNR
34Matos [32]2013ChildrenDescriptive2000–2009MultiHospital stayBoth3419Hospital stayNR
35Meert [56]2019ChildrenDescriptive2009–2015Multi1 yearECPR1471 yearNR
36Morris [33]2004ChildrenCohort1995–2002SingleHospital stayECPR64Hospital stay50.0 (SD/IQR not mentioned)
37Rathore [37]2016ChildrenDescriptive2011–2012Single1 yearCCPR314Hospital stay10.0 (3.0–30.0)
38Sivarajan [41]2011ChildrenDescriptive1990–2006Single2 yearECPR37Hospital stay30.0 (15.0–50.0)
Studies in adults and children
39Chen [20]2016BothDescriptive2012SingleHospital stayBoth382Hospital stay28.0 (10.0–50.0)
40Hendrick [28]1990BothCohort1986–1988Single1–18 monthsCCPR90Hospital stayNR
41Shinn [40]2009BothDescriptive2004–2006SingleHospital stayECPR50Hospital stay51.1 ± 27.8
42Younger [43]1999BothDescriptive1991–1998SingleHospital stayECPR23Hospital stayNR

Study characteristics of the included papers.

CCPR: conventional cardiopulmonary resuscitation; ECPR: extracorporeal cardiopulmonary resuscitation; IHCA: in-hospital cardiac arrest; IQR: interquartile range; OHCA: out-of-hospital cardiac arrest; SD: standard deviation.

Study characteristics Study characteristics of the included papers. CCPR: conventional cardiopulmonary resuscitation; ECPR: extracorporeal cardiopulmonary resuscitation; IHCA: in-hospital cardiac arrest; IQR: interquartile range; OHCA: out-of-hospital cardiac arrest; SD: standard deviation. Patient and clinical characteristics are shown in Supplementary Material, Table SA. For the adult studies, 1470 patients treated with ECPR and 375 751 patients treated with CCPR were included. For the studies in children, 1140 patients treated with ECPR and 17 653 patients treated with CCPR were included. For the studies including both adults and children, 111 patients treated with ECPR and 436 patients treated with CCPR were included.

Quality assessment

All available studies had an observational design: therefore, the overall quality of evidence was low. With respect to this low quality of evidence, we used the Newcastle-Ottawa Scale (NOS) to distinguish of quality within the included studies (Supplementary Material, Table SB).

Outcomes

The short-term survival percentages we present are calculated using the following LME models. In adult ECPR patients (combining shockable and non-shockable initial cardiac rhythms): Hospital survival (%) = 2(5.5383–(0.02139*time)), time is being given in min of low-flow time. In adult CCPR-shockable patients: Hospital survival (%) = 2(7.5645–(0.1574*time)). Due to one highly influencing study, no LME model could be created for adult CCPR-non-shockable patients. In paediatric ECPR patients (combining shockable and non-shockable initial cardiac rhythms): Hospital survival (%) = 2(5.5139–(0.00442*time)). In paediatric CCPR-shockable patients: Hospital survival (%) = 2(6.8488–(0.08312*time)). In paediatric CCPR-non-shockable patients: Hospital survival (%) = 2(4.4677–(0.0598*time)). In order to compare the ECPR and CCPR-shockable patients, we first arbitrarily determined a difference of 5% survival as clinically relevant. Next, we tested if there is any statistical difference between the course of the LME of ECPR and CCPR-shockable patients. In 39 of the 42 studies, short-term survival was available, the remaining 3 studies 3 months/1 year survival was included as short-term survival. The survival outcomes are shown in Table 2. In adults, short-term survival ranged from 9.3% to 46.4% in ECPR, and from 5.4% to 39.5% in CCPR. In children, short-term survival ranged from 34.4% to 40.6% in ECPR, and from 9.1% to 46.3% in CCPR. In the studies including both adults and children, short-term survival ranged from 19.4% to 36.0% in ECPR, and from 11.0% to 16.5% in CCPR. In Supplementary Material, Table S500, we summarized the outcomes stratified for OHCA and IHCA patients, for the studies in which this information was available.
Table 2:

Outcomes

NoStudyShort-term survival (hospital/30 day)
Long-term survival (3 months/6 months/1 year)
Survival with CPC score ≤2
ECPRCCPRECPRCCPRECPRCCPR
Studies in adults
1Adnet1482 (5.4)1249 (4.5)
2Bartos52 (39.0)148 (23.0)52 (39.0)52 (39.0)148 (23.0)
3Chen46 (34.1)43 (31.9)41 (30.4)
4Chou15 (34.9)5 (21.7)
5Dumot104 (23.0)
6Ferguson32 (13.0)16 (6.0)15 (5.9)
7Fjolner7 (33.3)7 (33.3)
8Goldberger9912 (15.4)7034 (10.9%, 1188 missings)
9Grunau690 (12.2)292 (5.1%, 306 missings)
10Haneya29 (34.1)27 (31.7)
11Kim9 (16.4)86 (19.4)8 (14.5)44 (9.9)8 (14.5)36 (8.1)
12Mandigers24 (28.6)
13Murakami32 (37.6)14 (16.5)
14Nagao21,658 (7.7)9669 (3.4)
15Otani34 (25.0)22 (16.3)
16Park13 (9.3)7 (5.0)
17Pionkowski262 (46.4)
18Pound60 (39.5)43 (28.3)
19Reynolds1232 (10.8)905 (8.0)
20Rosenberg82 (23.5)
21Siao45 (40.2)41 (36.6)34 (30.4)
22Valentin50 (19.8)44 (17.4)
23Wang74 (32.2)58 (25.2)
24Wengenmayer19 (14.3)
25Yukawa17 (21.5)11 (13.9)
Studies in children
26Bembea241 (40.6)108 (18.2%, 125 missings)
27Ganesan27 (19.7)21 (15.3)
28Goto1167 (9.1)325 (2.5)
29Innes19 (46.3)16 (39)
30Kalloghlian66 (28.2)
31Kramer26 (36.1)22 (30.6)19 (26.4)
32Lopez98 (34.6)94 (33.2)
33Lopez197 (39.2)104 (88.9)
34Matos78 (34.4)876 (27.4)
35Meert32 (22.1)39 (30.5)
36Morris23 (35.9)26 (35.6)5 (50.0%, 3 missings)
37Rathore44 (14.0)35 (11.1)27 (8.6)
38Sivarajan14 (37.8)12 (32.4)4 (10.8)
Studies in adults and children
39Chen7 (19.4)38 (11.0)
40Hendrick15 (16.5)
41Shinn16 (32.0)
42Younger9 (36.0)

Survival outcome and neurologic favourable outcome for all included studies. Values are presented as number (%).

CCPR: conventional cardiopulmonary resuscitation; CPC: cerebral performance category; ECPR: extracorporeal cardiopulmonary resuscitation.

Outcomes Survival outcome and neurologic favourable outcome for all included studies. Values are presented as number (%). CCPR: conventional cardiopulmonary resuscitation; CPC: cerebral performance category; ECPR: extracorporeal cardiopulmonary resuscitation.

Primary and secondary outcome

In adults, both survival curves of ECPR patients and CCPR-shockable patients showed a decline in survival with increase of low-flow duration. When comparing the survival curves of adults, the decline in survival outcome for increasing low-flow duration was significantly slower (P < 0.01) in patients treated with ECPR than in CCPR-shockable patients, as shown in Fig. 2. Short-term survival at 15 min low-flow duration was 37.2% in ECPR and 36.8% in CCPR-shockable. In ECPR, short-term survival declined, from 34.5% at 20 min to 29.8% at 30 min, 23.8% at 45 min and 19.1% at 60 min. In CCPR-shockable, short-term survival declined, from 21.4% at 20 min to 7.2% at 30 min, 1.4% at 45 min and 0.3% at 60 min. The difference in survival outcome was at least 5% higher in ECPR than in CCPR-shockable starting from 16.5 min. This difference increased to 22.6% at 30 min and 18.8% at 60 min low-flow duration. Unfortunately, we were unable to estimate a linear mixed model for CCPR-non-shockable patients due to major influence of one study.
Figure 2:

Relation between low-flow duration in minutes and hospital survival in percentage in adult patients treated with extracorporeal cardiopulmonary resuscitation (ECPR, red diagonal line: Hospital survival (%) = 2(5.5383–(0.02139*time (in min)))), conventional cardiopulmonary resuscitation (CCPR) due to shockable initial cardiac rhythms (blue parabole: Hospital survival (%) = 2(7.5645–(0.1574*time (in min)))), CCPR due to non-shockable initial cardiac rhythms (yellow dots no line). Calculated using LME models shown above. Due to one highly influencing study, no LME model could be created for CCPR patients with non-shockable cardia rhythm. LME: linear mixed effect (A color version of this figure appears in the online version of this article).

Relation between low-flow duration in minutes and hospital survival in percentage in adult patients treated with extracorporeal cardiopulmonary resuscitation (ECPR, red diagonal line: Hospital survival (%) = 2(5.5383–(0.02139*time (in min)))), conventional cardiopulmonary resuscitation (CCPR) due to shockable initial cardiac rhythms (blue parabole: Hospital survival (%) = 2(7.5645–(0.1574*time (in min)))), CCPR due to non-shockable initial cardiac rhythms (yellow dots no line). Calculated using LME models shown above. Due to one highly influencing study, no LME model could be created for CCPR patients with non-shockable cardia rhythm. LME: linear mixed effect (A color version of this figure appears in the online version of this article). In children, all of the survival curves of ECPR patients, CCPR-shockable patients, and CCPR-non-shockable patients showed a decline in survival with increase of low-flow duration. When comparing the survival curves of children, the decline in survival outcomes for increasing low-flow duration was significantly slower (P < 0.01) in patients treated with ECPR than in CCPR-shockable patients, as shown in Fig. 3. In ECPR, short-term survival declined from 43.6% at 15 min to 41.7% at 30 min, 39.8% at 45 min and 38.0% at 60 min. In CCPR-shockable patients, short-term survival declined from 48.6% at 15 min to 20.5% at 30 min, 8.6% at 45 min and 3.6% at 60 min. In CCPR-non-shockable patients, short-term survival declined from 11.9% at 15 min to 6.4% at 30 min, 3.4% at 45 min and 1.8% at 60 min. The short-term survival was at least 5% higher in ECPR than in CCPR-shockable patients starting from 19.2 min. This difference increased to 21.2% at 30 min, and 34.4% at 60 min low-flow duration.
Figure 3:

Relation between low-flow duration in minutes and hospital term survival in percentage in children treated with extracorporeal cardiopulmonary resuscitation (ECPR, red upper diagonal line: Hospital survival (%) = 2(5.5139–(0.00442*time (min)))), conventional cardiopulmonary resuscitation (CCPR) due to shockable initial cardiac rhythms (blue, parabole line: Hospital survival (%) = 2(6.8488–(0.08312*time (min)))), CCPR due to non-shockable initial cardiac rhythms (yellow lower diagonal line: Hospital survival (%) = 2(4.4677–(0.0598*time (min)))). Calculated using LME models shown above. LME: linear mixed effect (A color version of this figure appears in the online version of this article).

Relation between low-flow duration in minutes and hospital term survival in percentage in children treated with extracorporeal cardiopulmonary resuscitation (ECPR, red upper diagonal line: Hospital survival (%) = 2(5.5139–(0.00442*time (min)))), conventional cardiopulmonary resuscitation (CCPR) due to shockable initial cardiac rhythms (blue, parabole line: Hospital survival (%) = 2(6.8488–(0.08312*time (min)))), CCPR due to non-shockable initial cardiac rhythms (yellow lower diagonal line: Hospital survival (%) = 2(4.4677–(0.0598*time (min)))). Calculated using LME models shown above. LME: linear mixed effect (A color version of this figure appears in the online version of this article).

DISCUSSION

The results of our systematic review and meta-analysis show a decline in survival with increase of low-flow duration in both ECPR and CCPR patients. This decline in short-term survival for increasing low-flow duration is significantly slower in patients treated with ECPR than in CCPR-shockable patients, for both adults as children. The fact that we found a slower decline in survival for increasing low-flow duration in favour of ECPR in both adults and children is in line with the findings of a previous study by Bartos et al. [51]. They recently compared survival outcomes of adults treated with ECPR and CCPR for increasing low-flow durations and found the decline in neurologically favourable survival to be slower in ECPR than in CCPR [51]. Although this study was performed in a smaller group of patients and used a slightly different outcome (neurologically favourable survival rather than just survival), the slower decline in survival for ECPR was similar to that seen in our results. This difference in the decline of short-term survival implies that the sooner ECPR is performed, the greater the chances of a favourable outcome. The finding in our study that survival outcomes in ECPR are higher than those of CCPR is generally in line with the results of previous studies [7, 8]. In the first randomized controlled trial comparing ECPR to CCPR, Yannopoulos et al. [6] found a short-term survival rate of 43% in ECPR patients and 7% in CCPR patients. Previous systematic reviews comparing patients treated with ECPR and patients treated with CCPR have also shown higher survival outcomes [7, 8] and better neurological outcomes [8] in favour of ECPR. While 2 other recent systematic reviews did not observe this beneficial result for ECPR in OHCA patients, they did observe such a benefit in IHCA patients [58, 59]. Unfortunately, due to a lack of data, we were not able to analyse the outcomes for OHCA and IHCA separately. However, as indicated by Holmberg et al. [59], OHCA patients most likely experience longer low-flow durations than IHCA patients. The outcome difference of OHCA and IHCA is most probably caused by the difference in low-flow duration, the cause of the arrest and the primary rhythm. With this study, we emphasize the importance of limiting the low-flow duration in both ECPR and CCPR patients. However, in most of the ECPR cases, low-flow durations shorter than 30 min are not always feasible. Especially in OHCA patients, the time until arrival to the hospital varies worldwide between 30 and 60 min [60-62]. Based on our results, we would suggest start preparing for ECPR—retrieve vascular access without dilatation—could be started before cannulation. Definitive cannulation could be started at 20 min low-flow duration. Worldwide, there are limited centres providing ECPR in the field [62], all others can only start ECPR after hospital arrival. Therefore, exploring the means for rapid transportation to the hospital or the ability to perform ECPR in the field is important in an attempt to decrease the low-flow duration. Several studies are recruiting patients or extending their study to research ECPR in the pre-hospital setting [6, 63, 64]. However, the possibilities of these special programmes, are not available globally.

Limitations

This study has some limitations. First, all studies that we included are influenced by confounding by indication. There is still no worldwide consensus regarding which patients are eligible for ECPR. Second, because of the lack of individual patient data we were not able to analyse OHCA and IHCA patients separately. When we stratified the data for ECPR and CCPR in time intervals and tried to stratify for OHCA and IHCA, the amount of data per cell was too limited to analyse. Due to the different causes of cardiac arrest in these 2 groups and the expected difference in the delay before starting CPR, this factor will probably influence the prognosis. Third, a large limitation is the heterogeneity of the study. Despite attempts of reducing this heterogeneity (especially follow-up duration and survival versus neurological favourable outcome), these data were also too limited to analyse. We included a table in the Supplementary Material (Table SE) mentioning the included data. By combining survival outcomes with favourable neurological outcomes in cases where raw survival outcomes were not given, some of the used data will be an underestimation of the survival outcomes. We included these outcomes as short-term survival in order to avoid overestimating. Fourth, all of the available studies are observational studies which hampers strong recommendations based on this study. Fifth, there might be differences in: willingness to start CPR by bystanders, use of automatic external defibrillators and transport times to the nearest hospital, which could not be taken into account. Finally, since we could not include all of the individual patient data, we had to determine average low-flow durations in order to pool the survival data. To overcome such a limitation in future meta-analysis—for example including the randomized controlled trials comparing ECPR and CCPR that are currently being conducted—these data should be pooled based on individual low-flow durations. This will allow for a more accurate comparison between the 2 groups.

CONCLUSION

The short-term survival of ECPR and CCPR-shockable patients both decline rapidly over time, in adults as well as in children. This decline of short-term survival in relation to low-flow duration in ECPR was lower than in CCPR.

SUPPLEMENTARY MATERIAL

Supplementary material is available at ICVTS online. Click here for additional data file.
  60 in total

1.  Extracorporeal life support in cardiovascular patients with observed refractory in-hospital cardiac arrest is associated with favourable short and long-term outcomes: A propensity-matched analysis.

Authors:  Johannes Blumenstein; Jürgen Leick; Christoph Liebetrau; Joerg Kempfert; Luise Gaede; Sebastian Groß; Marcel Krug; Alexander Berkowitsch; Holger Nef; Andreas Rolf; Matthias Arlt; Thomas Walther; Christian W Hamm; Helge Möllmann
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2016-09-20

2.  Extracorporeal cardiopulmonary resuscitation after out-of-hospital cardiac arrest in a Danish health region.

Authors:  J Fjølner; J Greisen; M R S Jørgensen; C J Terkelsen; L B Ilkjaer; T M Hansen; H Eiskjaer; S Christensen; J Gjedsted
Journal:  Acta Anaesthesiol Scand       Date:  2016-12-09       Impact factor: 2.105

3.  Time from arrest to extracorporeal cardiopulmonary resuscitation and survival after out-of-hospital cardiac arrest.

Authors:  Jeong Ho Park; Kyoung Jun Song; Sang Do Shin; Young Sun Ro; Ki Jeong Hong
Journal:  Emerg Med Australas       Date:  2019-06-02       Impact factor: 2.151

4.  Duration of Prehospital Cardiopulmonary Resuscitation and Favorable Neurological Outcomes for Pediatric Out-of-Hospital Cardiac Arrests: A Nationwide, Population-Based Cohort Study.

Authors:  Yoshikazu Goto; Akira Funada; Yumiko Goto
Journal:  Circulation       Date:  2016-10-24       Impact factor: 29.690

5.  Association Between Duration of Resuscitation and Favorable Outcome After Out-of-Hospital Cardiac Arrest: Implications for Prolonging or Terminating Resuscitation.

Authors:  Joshua C Reynolds; Brian E Grunau; Jon C Rittenberger; Kelly N Sawyer; Michael C Kurz; Clifton W Callaway
Journal:  Circulation       Date:  2016-10-19       Impact factor: 29.690

6.  A Pre-Hospital Extracorporeal Cardio Pulmonary Resuscitation (ECPR) strategy for treatment of refractory out hospital cardiac arrest: An observational study and propensity analysis.

Authors:  Lionel Lamhaut; Alice Hutin; Etienne Puymirat; Jérome Jouan; Jean-Herlé Raphalen; Romain Jouffroy; Murielle Jaffry; Christelle Dagron; Kim An; Florence Dumas; Eloi Marijon; Wulfran Bougouin; Jean-Pierre Tourtier; Frédéric Baud; Xavier Jouven; Nicolas Danchin; Christian Spaulding; Pierre Carli
Journal:  Resuscitation       Date:  2017-04-14       Impact factor: 5.262

7.  Survival outcomes after extracorporeal cardiopulmonary resuscitation instituted during active chest compressions following refractory in-hospital pediatric cardiac arrest.

Authors:  Marilyn C Morris; Gil Wernovsky; Vinay M Nadkarni
Journal:  Pediatr Crit Care Med       Date:  2004-09       Impact factor: 3.624

8.  Prognostic factors for survival outcome after in-hospital cardiac arrest: An observational study of the oriental population in Taiwan.

Authors:  Chung-Ting Chen; Po-Chi Chiu; Ching-Ying Tang; Yan-Ying Lin; Yi-Tzu Lee; Chorng-Kuang How; David Hung-Tsang Yen; Mu-Shun Huang
Journal:  J Chin Med Assoc       Date:  2015-09-01       Impact factor: 2.743

9.  Comparison of extracorporeal and conventional cardiopulmonary resuscitation: a retrospective propensity score matched study.

Authors:  Daniel Patricio; Lorenzo Peluso; Alexandre Brasseur; Olivier Lheureux; Mirko Belliato; Jean-Louis Vincent; Jacques Creteur; Fabio Silvio Taccone
Journal:  Crit Care       Date:  2019-01-28       Impact factor: 9.097

10.  Improved Survival With Extracorporeal Cardiopulmonary Resuscitation Despite Progressive Metabolic Derangement Associated With Prolonged Resuscitation.

Authors:  Jason A Bartos; Brian Grunau; Claire Carlson; Sue Duval; Adrian Ripeckyj; Rajat Kalra; Ganesh Raveendran; Ranjit John; Marc Conterato; Ralph J Frascone; Alexander Trembley; Tom P Aufderheide; Demetris Yannopoulos
Journal:  Circulation       Date:  2020-01-03       Impact factor: 29.690

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.