Skip to main content

Targeted high mean arterial pressure aggravates cerebral hemodynamics after extracorporeal resuscitation in swine

Abstract

Background

Extracorporeal cardiopulmonary resuscitation (E-CPR) is used for the treatment of refractory cardiac arrest. However, the optimal target to reach for mean arterial pressure (MAP) remains to be determined. We hypothesized that MAP levels critically modify cerebral hemodynamics during E-CPR and tested two distinct targets (65–75 vs 80–90 mmHg) in a porcine model.

Methods

Pigs were submitted to 15 min of untreated ventricular fibrillation followed by 30 min of E-CPR. Defibrillations were then delivered until return of spontaneous circulation (ROSC). Extracorporeal circulation was initially set to an average flow of 40 ml/kg/min. The dose of epinephrine was set to reach a standard or a high MAP target level (65–75 vs 80–90 mmHg, respectively). Animals were followed during 120-min after ROSC.

Results

Six animals were included in both groups. During E-CPR, high MAP improved carotid blood flow as compared to standard MAP. After ROSC, this was conversely decreased in high versus standard MAP, while intra-cranial pressure was superior. The pressure reactivity index (PRx), which is the correlation coefficient between arterial blood pressure and intracranial pressure, also demonstrated inverted patterns of alteration according to MAP levels during E-CPR and after ROSC. In standard-MAP, PRx was transiently positive during E-CPR before returning to negative values after ROSC, demonstrating a reversible alteration of cerebral autoregulation during E-CPR. In high-MAP, PRx was negative during E-CPR but became sustainably positive after ROSC, demonstrating a prolonged alteration in cerebral autoregulation after ROSC. It was associated with a significant decrease in cerebral oxygen consumption in high- versus standard-MAP after ROSC.

Conclusions

During early E-CPR, MAP target above 80 mmHg is associated with higher carotid blood flow and improved cerebral autoregulation. This pattern is inverted after ROSC with a better hemodynamic status with standard versus high-MAP.

Introduction

Out-of-hospital cardiac arrest is the leading cause of mortality in western countries, with an extremely low survival and poor neurological outcome [1]. In order to improve the resuscitation rate, extracorporeal cardiopulmonary resuscitation (E-CPR) is currently suggested, when conventional cardiopulmonary resuscitation (CPR) fails to achieve return of spontaneous circulation (ROSC). It allows restoring organ perfusion whilst the underlying etiology is identified and properly treated [2, 3]. In the clinical arena, E-CPR has been shown to improve survival to hospital discharge and functional status when implemented early, as compared with standard prolonged resuscitation [4, 5]. Nevertheless, the ideal hemodynamic management remains unclear during E-CPR, e.g., regarding optimal mean arterial pressure (MAP) target.

After conventional CPR, several retrospective studies have reported a correlation between favorable outcome and higher MAP target after ROSC [6,7,8]. Cerebral blood flow and cerebral autoregulation are indeed known to be impaired during the first 72 h following cardiac arrest in resuscitated patients [9,10,11]. International guidelines recommend a MAP > 65 mmHg in all resuscitated patients [12, 13]. However, there is no few specific data regarding cerebral hemodynamics at different MAP levels during E-CPR to our knowledge, despite its relevance as a determinant of cerebral outcome. In swine, no difference on systemic hemodynamics and microcirculation parameters was observed with a MAP set at 65–70 versus 80–85 mmHg but cerebral hemodynamics and autoregulation were not evaluated [14]. A specific investigation of these parameters is of importance since brain circulation is peculiar with a proper autoregulation and cerebral dramatic metabolic changes after cardiac arrest.

Accordingly, the goal of the present study was to compare the effects of two different MAP targets on cerebral hemodynamics and metabolism during E-CPR (70 ± 5 vs. 85 ± 5 mmHg). We used a swine model of cardiac arrest with a prolonged no-flow period of 15 min, in order to mimic a severe hypoxic-ischemic injury that could be observed after refractory cardiac arrest in patients submitted to E-CPR. We started E-CPR directly after the end of the no-flow period to assess its proper effect without other confounding factors secondary to conventional CPR or chest compression.

Methods

All experiments were reviewed and approved by the ethical committee ComEth Anses-EnvA-UPEC (Committee No. 16, Project #23076-2019112616472793). All procedures were conducted in accordance with the European Community Standards on the Care and Use of Laboratory Animals.

Animal preparation

Twelve female swine (27–35 kg) were anesthetized with a mixture of zolazepam and tiletamine (10 mg/kg, i.m.) followed by propofol (1 mg/kg i.v.). After endotracheal intubation, animals were submitted to conventional mechanical ventilation (tidal volume = 9 ml/kg; FiO2 = 30%; respiratory rate = 20 breaths/min; positive end-expiratory pressure = 5 cmH2O). Ventilation parameters were modified when needed to maintain normocapnia et normoxia. Anesthesia was maintained during the instrumentation phase by a continuous administration of propofol (10 mg/kg/h). Animals also received methadone (0.3 mg/kg i.m.) and rocuronium (1 mg/kg i.v.) for analgesia and muscular paralysis, respectively.

Two catheters (9 Fr) were introduced by the Seldinger technique through the right femoral vein and artery for the continuous monitoring of right atrial and systemic arterial blood pressure, respectively. The same technique was used to insert a catheter into the jugular vein for the evaluation of jugular venous oxygen saturation (SjvO2). A 3 mm blood flow probe (PS-Series Probes®, Transonic, NY, USA) was placed around the internal carotid artery to monitor carotid blood flow (CBF). A pressure gauge (Millar®, SPR-524, Houston, TX, USA) was inserted into the cerebral cortex after craniotomy to monitor intracranial pressure (ICP). Cerebral oxygen saturation was continuously monitored by near infrared spectroscopy (NIRS; INVOS™ 5100C Cerebral/Somatic Oximeter, Medtronic®). Two guidewires were also placed into the left femoral artery and vein for the further insertion of cannulas for extracorporeal membrane oxygenation (ECMO) after induction of cardiac arrest. Unfractionated heparin (100 UI/kg i.v. bolus) was administered immediately after instrumentation. In order to compensate fluid loss, an i.v. infusion of fluid (Ringer lactate, 10 ml/kg) was performed during instrumentation.

Cardiac arrest and E-CPR protocol

After a period of stabilization, ventricular fibrillation (VF) was induced by a pacemaker catheter introduced into the right ventricle through the venous femoral sheath (A/C 10 V). VF was left untreated during 15 min of no-flow, with no mechanical ventilation. During this period, two 21 and 15 Fr cannulas were mounted around the guidewires previously inserted into femoral vein and artery, respectively (HLS Cannulaes ®, Maquet, Rastatt, Germany). At the end of the 15 min of untreated VF, E-CPR was started with a pump flow of 40 ml/kg/min. The extracorporeal life support circuit included a console, a centrifugal pump (Deltastream® DP3 Pump Heads (Medos Medizintechnik AG, Stolberg,Germany), a membrane oxygenator (PLS-i Oxygenator®, Maquet, Rastatt, Germany) and a tubing set (PLS Set®, Maquet, Rastatt, Germany). The membrane oxygenator was connected to a mechanical gas blender system (Sechrist Model 20,090®, Sechrist, Anaheim, Calif). The gas flow was adjusted to target a CO2 blood partial pressure between 35 and 45 mmHg. After 30 min of E-CPR, defibrillation attempts were started (150 J). Mechanical ventilation was resumed immediately after ROSC with the initial parameters. Fluid administration was standardized in all animals with an administration of 15 and 30 ml/kg of Ringer Lactate immediately after E-CPR initiation and over the two hours following ROSC, respectively. All animals were followed during two hours after ROSC. Then, they were euthanized.

Experimental groups

As illustrated by Fig. 1a, animals were randomly divided in two experimental groups submitted to different MAP targets after cardiac arrest, i.e., either 65–75 (standard MAP) or 80–90 mmHg (high MAP). This target was achieved by epinephrine administration at adjusted regimen of administration before and after ROSC. We used epinephrine as it is usually recommended during CPR (before ROSC). After cardiac arrest, we targeted a temperature of 37.0 ± 0.5 °C using thermal pads and infra-red light.

Fig. 1
figure 1

Experimental protocol (Panel A), mean arterial pressure (MAP, Panel B), heart rate (Panel C) and blood pH (Panel D) and lactate levels (Panel E) after cardiac arrest. MAP mean arterial pressure, E-CPR extra-corporeal cardiopulmonary resuscitation, ROSC return of spontaneous circulation; *p < 0.05 for the group effect of the two-way analysis of variance throughout follow-up; p < 0.05 for the group x time interaction effect of the two-way analysis of variance; p values of the contingency table of the two-way analysis are presented in Additional file 1: Table S1

Investigated parameters

Heart rate (HR), systolic and diastolic blood pressure, MAP and right atrial pressure were continuously monitored and recorded. CBF, ICP and cerebral NIRS were also monitored and recorded throughout the protocol. Cerebral perfusion pressure was calculated as the difference between MAP and ICP. We also calculated the pressure reactivity index (PRx) as the correlation coefficient between ICP and MAP. It was calculated at baseline and 20, 60, 90, 120 and 150 min after E-CPR institution during 40 consecutive 6-secondes averages of ICP and MAP, as previously reported [15]. A positive PRx value reflects a nonreactive vascular bed whereas a negative or zero value reflects a normally reactive vascular bed [15, 16].

Arterial and venous blood pH, gases (O2 and CO2 partial pressure [pO2 and PCO2, respectively]), lactates and hemoglobin levels were measured at baseline, during E-CPR (t = 10 and 20 min) and after ROSC (t = 40, 60, 90, 120 and 150 min). The oxygen consumption of the brain hemisphere was approximated using the following equation: VO2 (ml O2/min/kg) = (CaO2–CvO2) × CBF, where CaO2 is arterial oxygen content, CvO2 is internal jugular venous oxygen content, and CBF is carotid blood flow. CvO2 was calculated as follows: CvO2 (ml/l) = [(1.34 × Hb(g/dl) × SvjO2) + (0.0031 × PvjO2)] × 10, where SvjO2 is internal jugular venous oxygen saturation and PvjO2 is internal jugular venous oxygen tension.

Blood levels of creatinin, alanine aminotransferases (ALT), troponin I and PS100 were also evaluated at baseline and 150 min after cardiac arrest, as well as interleukin-1α (IL-1α) and interleukin-1β (IL-1β; ELISA kits, R&D Systems, Minneapolis, MN).

Statistical analysis

Data were expressed as mean ± SEM. Data normal distribution was verified by a Shapiro–Wilk normality test. At baseline, values were compared among groups using a Student t-test. After cardiac arrest, all parameters with repeated measures were compared among groups using a two-way analysis of variance for repeated measures (timing = 10, 20, 40, 60, 90, 120 and 150 after the onset of E-CPR). The p values of the corresponding time, group and time x group interaction effects are shown in Additional file 1: Table S1. We only considered the global effects of the ANOVA and did not perform post-hoc comparisons at each time point, in order to avoid multiple comparisons. The parameters with only one measurement at 150 min after cardiac arrest were compared among groups with a Student t-test. A value of p < 0.05 was considered statistically significant. All statistical analyses were performed using GraphPad Prism® software (GraphPad® Software, La Jolla, CA, USA).

Results

Twelve swine were enrolled in the present study, i.e., 6 in both standard- and high-MAP groups. Body weights and temperature were not different among groups (30 ± 2 vs 28 ± 1 kg and 37.9 ± 0.3 vs 37.5 ± 0.3 °C, respectively), as well as hemodynamic and biochemical parameters at baseline (Table 1). After 30 min of E-CPR, all animals achieved ROSC after the first electric shock, except one animals which required a second shock in the standard-MAP group.

Table 1 Baseline values of investigated parameters

Systemic hemodynamic and blood gases

As illustrated by Fig. 1b, MAP was maintained at the expected levels in both standard-MAP (65–75 mmHg) and high-MAP (80–90 mmHg). Heart rate was not significantly different among groups (Fig. 1c; Additional file 1: Table S1). Right atrial pressure was not different in standard-MAP vs high –MAP during E-CPR (e.g., 16 ± 2 vs 16 ± 3 mmHg at t = 20 min after cardiac arrest) or after ROSC (11 ± 1 vs 10 ± 4 mmHg at t = 150 min after cardiac arrest). The total amount of epinephrine administered to achieve MAP target during the first 30 min of E-CPR was lower in standard-MAP vs high –MAP group (51 ± 13 vs 102 ± 21 µg/kg over 30 min). It was also the case after ROSC, until the end of the protocol (23 ± 9 vs 145 ± 92 µg/kg over 120 min in standard-MAP vs high-MAP group).

A strong metabolic acidosis was observed in both groups after cardiac arrest, as evidenced by low blood pH (Fig. 1d), high blood lactate levels (Fig. 1e) and decreased bicarbonate blood levels (e.g., 16 ± 1 and 12 ± 1 mmol/L in standard-MAP and 17 ± 1 and 11 ± 1 mmol/L in high-MAP at t = 10 and 150 min after cardiac arrest). After ROSC, blood pH was significantly higher in standard- versus high-MAP. Lactate blood levels tended to decrease in standard- versus high-MAP but this did not reach statistical significance. PaO2 and PaCO2 did not significantly differ between groups throughout the protocol (data not shown).

Cerebral hemodynamic

During early E-CPR, CBF was greater in high vs standard-MAP (i.e., before ROSC; Fig. 2a). After ROSC, CBF was conversely lower in high- versus standard-MAP (p < 0.05 for time x group interaction, Additional file 1: Table S1). This was associated with greater amplitude in ICP increase with high- vs standard-MAP after ROSC (p < 0.05 for time x group interaction (Fig. 2b). This led to similar cerebral perfusion pressure among groups at the end of the follow-up Fig. 2c), despite MAP differences.

Fig. 2
figure 2

Cerebral hemodynamic parameters after cardiac arrest, including carotid blood flow (Panel A), intracranial pressure (Panel B), cerebral perfusion pressure (Panel C), pressure reactivity index (PRx, Panel D), Oxygen consumption of a brain hemisphere (Panel E) and Cerebral oxygen saturation assessed by near-infrared spectroscopy (NIRS; Panel F). MAP mean arterial pressure; NIRS near infrared spectroscopy, PRx pressure reactivity index (correlation coefficient between intracranial pressure and MAP); ROSC return of spontaneous circulation, VO2 oxygen consumption; *p < 0.05 for the group effect of the two-way analysis of variance throughout follow-up; p < 0.05 for the group x time interaction effect of the two-way analysis of variance; p values of the contingency table of the two-way analysis are presented in Additional file 1: Table S1

As illustrated in Fig. 2d, the PRx autoregulation index became transiently positive with standard-MAP just after the onset of E-CPR (t = 20 min), indicating altered cerebral autoregulation. Conversely, PRx was negative during early E-CPR with high-MAP but became sustainably positive after ROSC. If we consider a threshold of + 0.2 as a marker of dramatic autoregulation disruption, 5/6 versus 1/6 animals demonstrated values above that threshold in standard vs high-MAP during E-CPR, respectively. At the end of the follow-up (t = 150 min), those numbers were conversely 1/6 and 6/6 in standard vs high-MAP, respectively. This was consistent with the significant decrease in cerebral oxygen consumption in high- versus standard-MAP after ROSC (Fig. 2e). In the same line, cerebral oxygen saturation assessed by NIRS tended to be improved after ROSC with standard versus high-MAP group (Fig. 2f), even if statistical significance was not achieved.

Markers of multi-organ failure and inflammation

As illustrated in Fig. 3a–d, blood levels of ALT, creatinine, troponin and PS100 similarly increased in both groups after cardiac arrest, demonstrating liver, renal, cardiac and neurological injuries, respectively. The blood levels of IL-1α and IL-1β also similarly increased after cardiac arrest in both groups (Fig. 3e–f).

Fig. 3
figure 3

Blood levels of biochemical markers of multi-organ failure (and inflammation after cardiac arrest (i.e., alanine aminotransferases [ALT, Panel A], creatinine [Panel B], troponin I [Panel C], PS100 [Panel D], interleukin [IL]-1α [Panel E] and IL-1β [Panel F]). MAP mean arterial pressure; M150 time = 150 min after the onset of E-CPR

Discussion

In our experimental model of E-CPR, high-MAP transiently improved cerebral hemodynamics after cardiac arrest, as compared to standard-MAP. It was evidenced by higher CBF and lower PRx during early E-CPR. However, this beneficial effect was lost after ROSC and high MAP became deleterious with a dramatic deterioration of cerebral hemodynamics, including lower CBF, positive PRx, increased ICP and deteriorated cerebral oxygen consumption and saturation vs standard-MAP. High-MAP also worsened metabolic acidosis as compared to standard-MAP, despite similar blood levels of biomarkers of end-organ of dysfunction at the end of the follow-up.

In the literature, it is well admitted that cerebral perfusion and autoregulation are strongly impaired and associated with unfavorable neurological outcome after cardiac arrest [9, 11, 17]. Cerebral blood flow is then often believed to directly depends upon perfusion pressure, supporting the putative interest of high-MAP targets. However, MAP support requires the administration of catecholamines exerting their own effects on microvascular beds and cerebral blood flow. It is particularly true with epinephrine which was shown to decrease cerebral microvascular blood flow and increase the severity of cerebral ischemia in swine submitted to cardiac arrest and conventional CPR [18]. This could explain why high-MAP was beneficial during the very early phase of E-CPR but became clearly detrimental after ROSC in our study. The decrease in cerebral oxygen consumption and CBF could then be related to altered microcirculation and ICP increase, with increased cerebral vascular resistance and cerebral swelling.

In the present study, PRx analyses also demonstrate altered cerebral autoregulation with high-MAP after ROSC, with a positive correlation between ICP and MAP after ROSC. Interestingly, PRx values above + 0.2 were shown to predict poor neurological outcome with a strong specificity and sensitivity in patients after conventional CPR [19]. When compared to standard-MAP, the high-MAP strategy was therefore clearly deleterious after ROSC, although transiently improving cerebral hemodynamic during the early phase preceding ROSC in our study. One could argue that a double approach should be proposed with a high-MAP target during early E-CPR and then a standard-MAP after ROSC. Unfortunately, such a condition was not included in our randomization plan but clearly deserves further investigation. An investigation with norepinephrine rather than epinephrine would also be relevant after ROSC. Beyond the vasotensive effect of those drugs, the worsening of cerebral hemodynamics with high-MAP could also be indirectly related to altered venous drainage and increased venous congestion and vascular leakage during E-CPR. However, this should not be the major mechanism since ECMO flows, fluid administration and right atrial pressure were similar in standard- and high-MAP groups.

Importantly, the current recommendations for hemodynamic managements of cardiac arrest patients were mostly raised after conventional CPR (i.e., not specifically following E-CPR). A MAP level above 65 mmHg with prevention of hypotension is then proposed [12]. Hypotension is indeed clearly associated with poor neurological outcome [6, 7, 20], while observational studies showed an improved neurological outcomes with MAP levels set at 70–75 mmHg [7, 8]. Importantly, randomized studies did not demonstrate a deleterious effect of higher MAP in those conditions. For instance, the neurological injury evaluated by neural specific enolase blood levels was not different with a MAP of level of 65–75 versus 80–100 mmHg after ROSC [21]. In another study, similar extents of anoxic brain damage were observed with a MAP target of 85–100 mmHg, with a mixed venous O2 saturation of 65–75%, when compared to a 65 mmHg MAP strategy [22]. All these studies were obtained after conventional CPR and one would speculate different situations in patients with E-CPR, due to the increased severity of the anoxic brain injury, as suggested by our present findings. This difference should not be so critical for other organ injury and systemic hemodynamics as we did not observe much difference on systemic hemodynamics and other biomarkers, except a significantly higher blood pH with standard- versus high-MAP after ROSC. This is consistent with the results obtained by Fritz et al. [14] in swine submitted to prolonged cardiac arrest and E-CPR with two different MAP targets (65–70 mmHg vs 80–85 mmHg) during 6 h after ECMO initiation. The latter study did not assess cerebral hemodynamics to our knowledge. Longer follow-up duration would also evidence differences on the longer term.

In summary, our experimental study supports the use of a 65–75 mmHg MAP target in patients under ECMO, at least after ROSC. Specific clinical trials are still required but our findings, along with most clinical data in patients resuscitated after convention CPR, indeed demonstrates the lack of benefit, or even the deleterious effect, of high- vs standard-MAP target. We should point that this putative recommendation could only be relevant for MAP target with vasopressors, which does not mean that similar levels of MAP could lead to similar observations in patients weaned from vasotensive agents.

Study limitations

Our present study presents several limitations. As already discussed, we used epinephrine to achieve the MAP target in both groups since we initially focused on the early E-CPR preceding ROSC, for which epinephrine is likely the most relevant drug. It would have been difficult to interpret the results if using different drugs after ROSC, e.g., dobutamine and norepinephrine. If norepinephrine is usually recommended after ROSC [12], a recent Cochrane review did not find any difference in mortality with six different vasopressors assessed in 3497 patients presenting hypotensive shock [23]. Second, another important limitation is the short follow-up duration of the study, which did not allow the evaluation of the long term neurological outcome. Cerebral imaging or histological analyses would also have been of high interest but they were not conducted in the present study. We can only raise our conclusions on surrogate markers such as the PRx as an autoregulation parameter. Third, we only follow animals during a short period that makes the analysis of biomarkers data difficult. Finally, such experimental studies are typically done using a limited number of animals. Since we only investigated females, it is also uncertain that the results could be generalized to males.

Conclusions

In an experimental swine model of refractory cardiac arrest treated by E-CPR, a high-MAP target improved hemodynamics during the early phase of E-CPR preceding ROSC, when compared to standard-MAP. Conversely, high-MAP became highly deleterious after resuscitation. This could support a combined strategy”, with an initial aggressive MAP control followed by a more conservative strategy after E-CPR.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Berdowski J, Berg RA, Tijssen JGP, Koster RW. Global incidences of out-of-hospital cardiac arrest and survival rates: systematic review of 67 prospective studies. Resuscitation. 2010;81:1479–87.

    Article  Google Scholar 

  2. Chen LM, Nallamothu BK, Spertus JA, Li Y, Chan PS, American Heart Association’s get with the guidelines-resuscitation investigators. Association between a hospital’s rate of cardiac arrest incidence and cardiac arrest survival. JAMA Intern Med 2013;173:1186–1195.

  3. Lamhaut L, Hutin A, Puymirat E, Jouan J, Raphalen J-H, Jouffroy R, Jaffry M, Dagron C, An K, Dumas F, Marijon E, Bougouin W, Tourtier J-P, Baud F, Jouven X, Danchin N, Spaulding C, Carli P. A Pre-Hospital Extracorporeal Cardio Pulmonary Resuscitation (ECPR) strategy for treatment of refractory out hospital cardiac arrest: an observational study and propensity analysis. Resuscitation. 2017;117:109–17.

    Article  Google Scholar 

  4. Stub D, Bernard S, Pellegrino V, Smith K, Walker T, Sheldrake J, Hockings L, Shaw J, Duffy SJ, Burrell A, Cameron P, Smit DV, Kaye DM. Refractory cardiac arrest treated with mechanical CPR, hypothermia, ECMO and early reperfusion (the CHEER trial). Resuscitation. 2015;86:88–94.

    Article  Google Scholar 

  5. Yannopoulos D, Bartos J, Raveendran G, Walser E, Connett J, Murray TA, Collins G, Zhang L, Kalra R, Kosmopoulos M, John R, Shaffer A, Frascone RJ, Wesley K, Conterato M, Biros M, Tolar J, Aufderheide TP. 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 Lond Engl. 2020;396:1807–16.

    Article  Google Scholar 

  6. Laurikkala J, Wilkman E, Pettilä V, Kurola J, Reinikainen M, Hoppu S, Ala-Kokko T, Tallgren M, Tiainen M, Vaahersalo J, Varpula T, Skrifvars MB, FINNRESUSCI Study Group. Mean arterial pressure and vasopressor load after out-of-hospital cardiac arrest: associations with one-year neurologic outcome. Resuscitation 2016;105:116–122.

  7. Russo JJ, Di Santo P, Simard T, James TE, Hibbert B, Couture E, Marbach J, Osborne C, Ramirez FD, Wells GA, Labinaz M, Le May MR, from the CAPITAL study group. Optimal mean arterial pressure in comatose survivors of out-of-hospital cardiac arrest: an analysis of area below blood pressure thresholds. Resuscitation 2018;128:175–180.

  8. Kilgannon JH, Roberts BW, Jones AE, Mittal N, Cohen E, Mitchell J, Chansky ME, Trzeciak S. Arterial blood pressure and neurologic outcome after resuscitation from cardiac arrest*. Crit Care Med. 2014;42:2083–91.

    Article  Google Scholar 

  9. Lemiale V, Huet O, Vigué B, Mathonnet A, Spaulding C, Mira J-P, Carli P, Duranteau J, Cariou A. Changes in cerebral blood flow and oxygen extraction during post-resuscitation syndrome. Resuscitation. 2008;76:17–24.

    Article  Google Scholar 

  10. Bisschops LLA, Hoedemaekers CWE, Simons KS, van der Hoeven JG. Preserved metabolic coupling and cerebrovascular reactivity during mild hypothermia after cardiac arrest. Crit Care Med. 2010;38:1542–7.

    Article  Google Scholar 

  11. Sundgreen C, Larsen FS, Herzog TM, Knudsen GM, Boesgaard S, Aldershvile J. Autoregulation of cerebral blood flow in patients resuscitated from cardiac arrest. Stroke. 2001;32:128–32.

    Article  CAS  Google Scholar 

  12. Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, Genbrugge C, Haywood K, Lilja G, Moulaert VRM, Nikolaou N, Olasveengen TM, Skrifvars MB, Taccone F, Soar J. European resuscitation council and European society of intensive care medicine guidelines 2021: post-resuscitation care. Intensive Care Med. 2021;47:369–421.

    Article  Google Scholar 

  13. Panchal AR, Bartos JA, Cabañas JG, Donnino MW, Drennan IR, Hirsch KG, Kudenchuk PJ, Kurz MC, Lavonas EJ, Morley PT, O’Neil BJ, Peberdy MA, Rittenberger JC, Rodriguez AJ, Sawyer KN, Berg KM, Adult Basic and Advanced Life Support Writing Group. Part 3: adult basic and advanced life support: 2020 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation 2020;142:S366–S468

  14. Fritz C, Kimmoun A, Vanhuyse F, Trifan BF, Orlowski S, Falanga A, Marie V, Groubatch F, Albuisson E, Tran N, Levy B. High versus low blood-pressure target in experimental ischemic prolonged cardiac arrest treated with extra corporeal life support. Shock Augusta Ga. 2017;47:759–64.

    Article  Google Scholar 

  15. Czosnyka M, Smielewski P, Kirkpatrick P, Laing RJ, Menon D, Pickard JD. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery. 1997;41:11–7 (discussion 17–19).

    Article  CAS  Google Scholar 

  16. Steiner LA, Czosnyka M, Piechnik SK, Smielewski P, Chatfield D, Menon DK, Pickard JD. Continuous monitoring of cerebrovascular pressure reactivity allows determination of optimal cerebral perfusion pressure in patients with traumatic brain injury. Crit Care Med. 2002;30:733–8.

    Article  Google Scholar 

  17. Ameloot K, Genbrugge C, Meex I, Jans F, Boer W, Vander Laenen M, Ferdinande B, Mullens W, Dupont M, Dens J, DeDeyne C. An observational near-infrared spectroscopy study on cerebral autoregulation in post-cardiac arrest patients: time to drop “one-size-fits-all” hemodynamic targets? Resuscitation. 2015;90:121–6.

    Article  CAS  Google Scholar 

  18. Ristagno G, Tang W, Huang L, Fymat A, Chang Y-T, Sun S, Castillo C, Weil MH. Epinephrine reduces cerebral perfusion during cardiopulmonary resuscitation. Crit Care Med. 2009;37:1408–15.

    Article  CAS  Google Scholar 

  19. Balu R, Rajagopalan S, Baghshomali S, Kirschen M, Amurthur A, Kofke WA, Abella BS. Cerebrovascular pressure reactivity and intracranial pressure are associated with neurologic outcome after hypoxic-ischemic brain injury. Resuscitation. 2021. https://0-doi-org.brum.beds.ac.uk/10.1016/j.resuscitation.2021.04.023.

    Article  PubMed  Google Scholar 

  20. Annoni F, Dell’Anna AM, Franchi F, Creteur J, Scolletta S, Vincent J-L, Taccone FS. The impact of diastolic blood pressure values on the neurological outcome of cardiac arrest patients. Resuscitation. 2018;130:167–73.

    Article  Google Scholar 

  21. Jakkula P, Pettilä V, Skrifvars MB, Hästbacka J, Loisa P, Tiainen M, Wilkman E, Toppila J, Koskue T, Bendel S, Birkelund T, Laru-Sompa R, Valkonen M, Reinikainen M, COMACARE study group. Targeting low-normal or high-normal mean arterial pressure after cardiac arrest and resuscitation: a randomised pilot trial. Intensive Care Med 2018;44:2091–2101.

  22. Ameloot K, De Deyne C, Eertmans W, Ferdinande B, Dupont M, Palmers P-J, Petit T, Nuyens P, Maeremans J, Vundelinckx J, Vanhaverbeke M, Belmans A, Peeters R, Demaerel P, Lemmens R, Dens J, Janssens S. Early goal-directed haemodynamic optimization of cerebral oxygenation in comatose survivors after cardiac arrest: the Neuroprotect post-cardiac arrest trial. Eur Heart J. 2019;40:1804–14.

    Article  CAS  Google Scholar 

  23. Gamper G, Havel C, Arrich J, Losert H, Pace NL, Müllner M, Herkner H. Vasopressors for hypotensive shock. Cochrane Database Syst Rev. 2016;2:CD003709.

    PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The study was supported by Grant COOLIVENT by Agence Nationale pour la Recherche. Yaël Levy was supported by ADEREM.

Author information

Authors and Affiliations

Authors

Contributions

YL, GD, KL, PLL, BG, LL and RT conceived the study, designed the trial, and/or obtained research funding. YL, AH, FL, RF, MK, BG and RT supervised the conduct of the trial and data collection. YL, AH, FL, NM, RF and RT were caregivers during experiment and managed the data, including quality control. YL and RT provided statistical advice on study design and analyzed the data. YL and RT drafted the manuscript, and all authors contributed substantially to its revision. All authors take responsibility for the paper as a whole. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Renaud Tissier.

Ethics declarations

Ethics approval

All experiments were reviewed and approved by the ethical committee ComEth Anses-EnvA-UPEC (Committee No. 16, Project #23076-2019112616472793).

Consent for publication

Not applicable.

Competing interests

M Kohlhauer and R Tissier are shareholders of a start-up company dedicated to total liquid ventilation (Orixha).

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Supplemental Table I: P values of the contingency table of the two-way analysis of variance (ANOVA) for repeated measures with group, time effect and group x time interaction effects for the different investigated parameters after cardiac arrest.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Levy, Y., Hutin, A., Lidouren, F. et al. Targeted high mean arterial pressure aggravates cerebral hemodynamics after extracorporeal resuscitation in swine. Crit Care 25, 369 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s13054-021-03783-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13054-021-03783-3

Keywords