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Review

Physiology-Guided Resuscitation: Monitoring and Augmenting Perfusion during Cardiopulmonary Arrest

Division of Cardiology, New York University Grossman School of Medicine, New York, NY 10016, USA
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Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(12), 3527; https://doi.org/10.3390/jcm13123527
Submission received: 15 May 2024 / Revised: 8 June 2024 / Accepted: 10 June 2024 / Published: 16 June 2024
(This article belongs to the Special Issue Clinical Advances in Cardiac Arrest and Cardiopulmonary Resuscitation)

Abstract

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Given the high morbidity and mortality associated with cardiopulmonary arrest, there have been multiple trials aimed at better monitoring and augmenting coronary, cerebral, and systemic perfusion. This article aims to elucidate these interventions, first by detailing the physiology of cardiopulmonary resuscitation and the available tools for managing cardiopulmonary arrest, followed by an in-depth examination of the newest advances in the monitoring and delivery of advanced cardiac life support.

1. Introduction

In the mid-18th century, there was a growing interest in the development of cardiopulmonary resuscitation (CPR), which is when drowning became a great public health issue. Initially, the focus was primarily on ventilation and airway management, with some proposed methods including rolling the victim over a barrel or hoisting them onto a trotting horse [1]. In the late 19th century, open cardiac massage drew attention to cardiac compression as a means to restore circulation. This was initially attempted on animals and subsequently expanded to humans; however, it was restricted to experienced personnel in the operating room or hospital setting. Closed cardiac massage followed soon thereafter and was successfully performed on eight humans. This set the stage for the initial development of closed-chest CPR in the mid 20th century, with the restoration of spontaneous circulation (ROSC) in 14 of 20 cardiac arrest patients utilizing chest compressions, external defibrillation, and mouth-to-mouth ventilation [2].
Despite representing the foundation of present-day CPR, chest compressions are inherently inefficient, providing less than 25% of normal cardiac output under the best circumstances [3]. As adequate myocardial oxygen delivery is a fundamental determinant of survival following cardiac arrest, several related physiologic targets have been established to optimize CPR quality [4,5,6]. Recent decades have seen important developments in CPR monitoring technologies aimed at enhancing resuscitation. Beyond end-tidal carbon dioxide (ETCO2) and invasive blood pressure monitoring, cerebral oximetry and transesophageal echocardiography (TEE) have been added to the armamentarium with emerging data [7,8]. A better understanding of CPR physiology has led to the development of several devices with the aim of modulating intrathoracic pressure, increasing cardiac output, and improving intra-arrest hemodynamics [9,10]. Extracorporeal cardiopulmonary resuscitation (eCPR) has gained considerable attention over the last several years with a potential role in select circumstances [11]. In this manuscript, we review the existing technologies and developments designed to monitor and augment hemodynamics during cardiac arrest resuscitation (Figure 1).

2. The Physiology of Cardiopulmonary Resuscitation

Modern closed-chest CPR was described by Kouwenhoven and colleagues in 1960 [2]. The authors postulated that the forward flow of blood was generated via direct cardiac compression between the sternum and vertebral column. However, subsequent experimental evidence suggested the heart may function as a passive conduit—blood flows as the intrathoracic pressure exceeds that of the extrathoracic vasculature [12]. To date, the specific mechanism driving blood flow during CPR is inconclusive. Indeed, the prevailing mechanism may differ between patients based on anatomical variations and compression momentum [13]. Here, we review several mechanisms governing blood flow during resuscitation, the existing evidence base, and additional physiologic implications.

2.1. The Cardiac Pump Model

Comparable to an internal cardiac massage, chest compressions were hypothesized to squeeze the ventricles, thereby ejecting blood into the great arteries [2]. Myocardial relaxation during the decompression phase would allow for ventricular filling analogous to diastole. This intuitive description followed that of the cardiac cycle and was accepted despite a lack of supporting evidence [14]. Decades after Kouwenhoven’s initial hypothesis, several animal and human studies provided support for the theory.
Feneley et al. induced cardiac arrest in dogs and performed two-dimensional echocardiograms during manual CPR. With high-impulse CPR, their group observed the opening of the aortic valve during the compression phase and closure during release. Left ventricular deformation was observed during sternal compression with concomitant mitral valve closure [13]. Performing TEE on 18 patients suffering cardiac arrest, Redberg and colleagues witnessed a reduction in ventricular cavity size with compressions and mitral valve opening during release [15]. The observation of a decrease in ventricular size associated with aortic valve opening and mitral valve closure implied stroke volume was derived from ventricular deformation during the compression phase of CPR. Accordingly, the heart functioned as more than a “passive conduit”, as was predicted with the thoracic pump model [12,13,15].

2.2. The Thoracic Pump Model

In 1976, Criley et al. reported on several patients suffering ventricular fibrillation (VF) during coronary angiography. Three patients remained conscious for up to 39 s by forceful coughing, which maintained an aortic systolic pressure in excess of that subsequently delivered by CPR [16]. As the heart was not being compressed, it was thought to function merely as a conduit; variations in intrathoracic and abdominal pressure were thought to propel blood from the intrathoracic vasculature into the systemic circulation.
To better define this model, catheters were inserted into the ventricles, intrathoracic, and extrathoracic vasculature of 15 dogs with the subsequent induction of cardiac arrest. During CPR, pressures within the left ventricle (LV), aorta, right atrium, and pulmonary artery were identical and equal to the intrathoracic pressure estimated by an esophageal balloon [14]. Maneuvers elevating the intrathoracic pressure (i.e., abdominal binding) improved the aortic systolic pressure as well as carotid flow. The drop in intrathoracic pressure between compressions would be responsible for venous flow into the right ventricle [12]. Inconsistent with this model is the aforementioned observation of mitral valve closure during thoracic compression [15]. However, this phenomenon may not be universal among all patients undergoing CPR [17].
Ultimately, it is accepted that both models may be involved in the generation of blood flow. The chest wall anatomy, location of chest compressions, and whether or not a mechanical compression device is used may determine the dominant mechanism. Several additional theories, in part variations on the discussed themes, have since been postulated; however, their clinical relevance is less clearly defined [10].

2.3. Microcirculation in Cardiac Arrest

Microcirculation, or the terminal vascular network of the systemic circulation, is responsible for the regulation of blood flow, tissue perfusion, and oxygen delivery [18]. Its direct assessment involves the use of hand-held sublingual microscopy, allowing for the quantitative and semi-quantitative description of parameters, including the microcirculatory flow index and proportion of perfused vessels. However, simpler surrogates, including the capillary refill time (CRT), the central venous-to-arterial carbon dioxide difference, and skin mottling, are used in clinical practice to assess microvascular blood flow [18]. In shock states, the two components of the circulation may be discordant such that the restoration of macrocirculatory flow as assessed by the arterial pressure or cardiac index may not translate into improved tissue perfusion [19].
While studies have described macrocirculatory indices such as coronary perfusion pressure (CPP) and diastolic arterial pressure, less is known about the role of microcirculation in cardiac arrest [20]. In a porcine model of cardiac arrest, global hemodynamic variables poorly correlated with microcirculatory flow assessed via sublingual microscopy [21]. However, this finding was not consistent across studies [22]. In an experimental model of ventricular fibrillation, the administration of epinephrine, an intervention known to increase CPP, was shown to significantly reduce microcirculatory flow [20]. Further, microcirculatory flow has been shown to predict outcomes in an experimental model of cardiac arrest with good sensitivity and specificity [22].
Following ROSC, microcirculatory alterations improve but may not normalize. A systemic inflammatory response mediated by ischemia and reperfusion injury is thought to contribute to these abnormalities [23]. Higher sublingual microcirculatory flow post-arrest may be associated with survival, while persistent alterations are associated with organ failure and death independent of systemic hemodynamics [24,25]. Presently, the literature surrounding microcirculation in cardiac arrest is limited to experimental models and small observational studies. While the results are both promising and interesting, much remains to be learned. Whether interventions aimed to restore microcirculation during and after cardiac arrest improve outcomes requires further exploration [26].

2.4. Additional Physiologic Considerations

Augmenting CPP (the pressure difference between the aorta and right atrium during relaxation) and cerebral blood flow are the primary objectives of CPR [6]. Subsequently discussed approaches to CPR and mechanical resuscitative devices rely on the aforementioned models of flow to enhance systemic perfusion. However, cerebral perfusion may be negatively impacted by standard CPR on the basis of high-pressure venous waves and depressed venous return during active chest compressions [27]. Whether alternative approaches to cerebral monitoring and resuscitation can improve outcomes in cardiac arrest remains an important question. This forms the basis of the development of newer perfusion methods used to enhance cerebral blood flow (e.g., impedance threshold, active compression-decompression, and automated head/thorax-up positioning devices) and deliver “neuroprotective CPR”.
In addition to its role in gas exchange, positive pressure ventilation has a distinct impact on circulatory function. Excessive intrathoracic pressure may limit venous return and generate impedance to right ventricular ejection. Accordingly, proper ventilation and the modulation of intrathoracic pressures may impact hemodynamics during resuscitation [9].
Finally, multiple serum and cerebrospinal fluid (CSF) biomarkers have been investigated during and immediately after cardiac arrest in order to better prognosticate mortality and neurologic recovery. Increasingly, these values have been utilized in a decision-making capacity, including that of coronary angiography and eCPR. While an exhaustive discussion of prognostication is outside the scope of this review, lactate and phosphate levels are worth briefly touching upon.
Serum lactate levels are widely utilized as markers of systemic hypoperfusion and tissue hypoxia, with greater values indicative of higher degrees of cellular injury. Absolute lactic acid values and lactate clearance have both been evaluated in critically ill patients and demonstrated associations with mortality [28,29,30]. However, in those with cardiac arrest, the relationship of early lactate levels to patient outcomes has been more inconsistent and inconclusive [31,32,33,34,35]. There has been an even greater paucity of data to guide prognosis after eCPR, with different proposed cutoff values and clearance rates; however, in general, higher lactate levels have been correlated with unfavorable outcomes and mortality in this cohort [33,36,37].
Phosphorus levels have also been examined as a prognostic marker in patients with cardiopulmonary arrest. Phosphorus has been recognized as an integral component in multiple cellular processes, including signal transduction and energy exchange. Multiple studies have demonstrated associations between higher initial post-ROSC phosphate levels with worse neurologic outcomes and greater mortality [38,39]. Hypotheses for this elevation include transcellular shifts and cellular damage. Interestingly, it has also been implicated as an important contributor to acidosis following cardiac arrest [40].

3. Monitoring Perfusion during Cardiopulmonary Resuscitation—Current Strategies

Coronary perfusion pressure (CPP), end-tidal carbon dioxide (ETCO2), and diastolic blood pressure (DBP) are commonly monitored during CPR. The literature has shown that these parameters can be leveraged to augment resuscitation efforts in a physiology-guided fashion. Updated guidelines from the American Heart Association mention these parameters in varying capacities for modern resuscitation efforts [41]. The practical strengths and limitations of each parameter are described below.

3.1. Coronary Perfusion Pressure (CPP)

The aim of CPR is to maintain coronary and cerebral perfusion for the purpose of ROSC and to promote neurologically favorable outcomes. Myocardial perfusion can be evaluated using the CPP, calculated as the gradient between the aorta and right atrium during “CPR diastole” [6,42]. Small animal and human studies began investigating the value of CPP in the 1980s, noting a direct correlation with myocardial blood flow [43,44,45,46]. In 1990, Paradis et al. performed CPP monitoring in 100 human subjects during CPR through the use of pressure catheters inserted in the right atrium and aortic arch [6,47,48,49]. It was noted that increasing CPP values correlated with increased success of ROSC, thereby providing real-time feedback on the quality of CPR. The initial mean CPP was 1.4 mmHg for those who did not achieve ROSC versus 18.4 mmHg for those who did [6]. Moreover, a maximal initial CPP of 15 mmHg or greater had a positive predictive value of 0.57 (i.e., continued resuscitation efforts would achieve ROSC more than half the time) [6]. Conversely, patients with an initial CPP of 0 mmHg or less never achieved ROSC [6].
The aforementioned demonstrates the utility of CPP in CPR in that it provides real-time feedback to the resuscitation team regarding myocardial blood flow and prediction of resuscitation success [42]. However, its invasive nature makes it impractical for most scenarios [42]. Current practices do not typically target this metric but instead target indices and variables that have been correlated with CPP, such as ETCO2 and diastolic blood pressure.

3.2. End Tidal Carbon Dioxide (ETCO2)

Carbon dioxide (CO2) is produced primarily during aerobic metabolism, returned to the lungs via the venous system, and eliminated through alveolar ventilation [50,51]. During exhalation, CO2 can be measured with capnography. ETCO2 refers to the concentration of exhaled CO2 at the end of phase III of the capnogram (representing the emptying of alveoli) [51]. Cardiopulmonary arrest (CPA) causes an abrupt decrease in circulation and CO2 transport, and thereby, CO2 expulsion, resulting in a dramatic drop in ETCO2 [50]. This was first described by Kalenda, who identified that ETCO2 decreased with compressor fatigue and increased substantially upon achieving ROSC [52]. Numerous studies thereafter have demonstrated the utility of ETCO2 during CPR, including positive associations with cardiac output, myocardial blood flow, CPP, and cerebral perfusion pressure [51,53,54,55]. ETCO2 has been described as the best measure of ROSC during CPR, given it can precede a palpable pulse [50,51,56]. It also helps monitor the effectiveness of pulmonary perfusion and, therefore, chest compressions [50,51,57,58]. In fact, a multicenter study of more than 500 patients showed a statistical association between ETCO2 and chest compression depth [57]. Moreover, numerous studies show ETCO2 > 10 mmHg as a “cut off” value for increased likelihood of achieving ROSC [51,59,60,61,62]. ETCO2 can also predict the futility of ongoing resuscitation efforts. In a prospective study of 737 out-of-hospital arrests, the inability to increase ETCO2 over 14.3 mmHg after 20 min of CPR had 100% sensitivity and specificity for failure to achieve ROSC [63].
The American Heart Association 2020 CPR guidelines state that “targeting compressions to an ETCO2 value of at least 10 mm Hg, and ideally 20 mm Hg or greater, may be useful as a marker of CPR quality. An ideal target has not been identified” [64]. Indeed, targeting a specific ETCO2 value for ROSC remains an ongoing knowledge gap in light of the fact that the majority of studies to date remain observational [64]. Despite this, ETCO2 is a powerful, non-invasive, easily accessible tool with reproducible data that can be used to assist in physiology-guided resuscitation [51,65].
Notably, ETCO2 has practical limitations in its use. It is most effectively utilized with an advanced airway, as the lack of a good seal on the bag-valve mask or secretions in the sampling tube can make colorimetric ETCO2 unreliable [51]. ETCO2 values may also be altered in patients with pre-existing lung disease and have been demonstrated to be affected by the administration of IV epinephrine and sodium bicarbonate [51]. While acknowledging these relatively minor limitations, ETCO2 is an invaluable tool for the resuscitation team to have rapidly available, real-time feedback during CPR. Unfortunately, even with incorporation into guidelines, in contemporary practice, this tool is not being used to its full extent. In a 2016 review of 21,375 index events from the American Heart Association Get With the Guidelines Resuscitation Registry, only 4% of patients with an invasive airway present at the time of CPA underwent ETCO2 monitoring [66]. Similarly, in one study of pediatric patients at two large urban academic emergency rooms, ETCO2 was only used in 13% of children [67].

3.3. Diastolic Blood Pressure (DBP)

The American Heart Association 2020 CPR guidelines also include diastolic blood pressure monitoring during CPR as an updated recommendation in pediatric populations [64]. They state it is reasonable to use diastolic blood pressure to assess CPR quality, and “although ideal blood pressure targets during CPR are not known, diastolic blood pressure is the main driver of coronary blood flow and may be used to guide interventions…” [64]. This is based primarily on a study of 164 children demonstrating that a maintenance of a mean DBP ≥ 25 mmHg and ≥30 mmHg during CPR for infants and children ≥ 1 year old, respectively, was associated with survival with favorable neurological outcomes [68].
Despite its theoretical benefits for monitoring, the use of DBP for monitoring perfusion during CPA for adults is limited. One study of 104 patients from Finland demonstrated that chest compression rates of 100–120 per minute combined with a chest compression depth > 60 mm were associated with DBP > 30 mmHg for both femoral and radial measurements [69]. Notably, while an often-cited limitation of the use of DBP monitoring is the necessity of an arterial line, prior studies have suggested that approximately 59% of in-hospital cardiac arrest (IHCA) occurs in patients in the intensive care unit [70].

3.4. Utilizing Indicators of Perfusion in Practice

Overall, the American Heart Association 2020 CPR guidelines remain vague regarding specific targets for monitoring parameters, which is reasonable given the lack of robust, randomized human data during CPR. Based on expert consensus, prior guidelines recommend maintaining CPP > 20 mmHg, DBP > 25 mmHg, and ETCO2 > 20 mm Hg [3]. It is reasonable to focus efforts primarily on using ETCO2 monitoring and feedback during CPR during the time of CPA given its ease of initiation, the fact that invasive catheter placement is not required for its use, and that it has the most supportive human data. Notably, there are limited data comparing the efficacy of all three metrics; however, a recent animal study of 60 subjects suggests DBP predicts survivorship better than ETCO2 when conducting CPR [71].

4. Monitoring Perfusion during Cardiopulmonary Resuscitation—Novel Strategies

While invasive hemodynamics theoretically provide the greatest amount of information regarding cerebral, coronary, and systemic perfusion, they are also impractical in most cardiac arrest scenarios. Other less invasive alternatives have been suggested to monitor perfusion during CPR, including regional cerebral oximetry and transesophageal echocardiography.

4.1. Regional Cerebral Oximetry

Near-infrared spectroscopy (NIRS) allows for portable, continuous, and non-invasive monitoring of the regional hemoglobin oxygen saturation (rSO2) in the brain [72,73]. An adhesive probe equipped with a light emitter and detector is applied to the scalp near the frontal cortex. Light in the 650–950 nm range penetrates the skull and provides a percentage estimate of oxygenated hemoglobin in the superficial cortical region. As approximately 70% of the blood volume is in the venous compartment, normal rSO2 values range from 60–80% [73]. Lower values may be encountered in cases of reduced cerebral blood flow or oxygen content (i.e., hemoglobin concentration or saturation) and reflect the cerebral oxygen supply–demand balance [72]. This approach to regional circulatory monitoring has been applied to cardiac arrest and may allow for the assessment of CPR quality, the prediction of ROSC, and survival with favorable neurological outcomes [7,73].
Multiple studies have demonstrated an association between higher rSO2 values and ROSC, as well as favorable clinical outcomes [74,75]. However, there is significant overlap in values. In one multicenter study of 504 patients with IHCA, those surviving with good outcomes had a higher mean rSO2 than those with poor neurological outcomes (56% ± 10% vs. 44% ± 13%) [7]. At extremes, specificity is high; a 25% cut-off is highly predictive of no ROSC, while rSO2 > 65% is highly predictive of ROSC [73].
While compelling, the evidence base supporting NIRS as a tool to monitor CPR quality is limited [74,75]. In a study of 34 patients, the use of a mechanical CPR device, demonstrated to improve compression quality, was associated with higher rSO2 when compared to manual CPR [75]. Several reports have established a decrease in rSO2 with the loss of pulses, a rise in rSO2 with initiation of chest compressions, and even further increases with ROSC [76]. These associations suggest that rSO2 may reflect hemodynamic changes and cerebral blood flow.
Cerebral oximetry monitoring and ETCO2 have similar diagnostic characteristics in predicting ROSC [77]. However, capnography is influenced by ventilatory parameters, the presence (or absence) of an advanced airway, underlying lung disease, and drug administration [73]. Accordingly, future studies may identify a specific role for cerebral oximetry in perfusion monitoring during CPR.

4.2. Transesophageal Echocardiography (TEE)

Transthoracic echocardiography (TTE) has played an increasingly important role in the diagnosis, management, and prognostication of patients who experience CPA. However, TTE suffers from a variety of technical limitations during advanced cardiac life support (ACLS), including limited acoustic windows and motion artifacts during ongoing chest compressions. Observational studies have also suggested that the use of surface cardiac ultrasound may result in longer compression pauses (compared to standard ACLS) without clear benefits in mortality, despite the ability to identify immediately reversible causes of cardiac arrest [78,79,80].
Focused TEE has been proposed as an alternative to TTE to obviate some of the aforementioned issues. Due to its retrocardiac position, TEE can provide continuous monitoring and excellent cardiac visualization throughout the entirety of a cardiac arrest without the assortment of technical limitations suffered by TTE. Even in ideal imaging conditions, TEE is known to have greater diagnostic accuracy than TTE for many of the reversible etiologies of a cardiac arrest, including tamponade (particularly if localized), pulmonary embolism, aortic dissection, and mechanical complications due to acute myocardial infarction (Figure 2A,B). TEE can also facilitate the transition to (and cannulation of) eCPR. Importantly, TEE does not seem to alter the natural cadence of CPR. In one retrospective analysis evaluating 25 cardiac arrests (constituting 139 pulse checks), TEE demonstrated shorter durations of pauses during pulse checks (9 s; 95% confidence interval [8–14 s]) as compared to TTE (19 s; 95% confidence interval [16–22 s]) and no significant difference compared to manual pulse checks (11 s; 95% confidence interval [8–14 s]) [81]. At present, the major limitations of TEE are that it requires an established airway (i.e., endotracheal intubation), there are limited numbers of practitioners with TEE experience who are readily available, and positioning of the imager and echocardiography machine may be challenging and has yet to be integrated into previously established CPR team protocols. However, studies have demonstrated an average time of 7–12 min for obtaining the first TEE image during the intra-arrest portion of cardiac arrest [8,15,82]. Further, with dedicated pre-training interventions (particularly in those with prior TTE experience), there are accelerated learning curves in physician familiarity and the use of TEE [83].
TEE has also been proposed as a novel method for improving ACLS and overall systemic perfusion through the identification of the area of maximal compression (AMC) during CPR (Figure 2C). Current American Heart Association guidelines recommend chest compressions take place in the center of the lower half of the victim’s sternum [41]. In theory, this is supposed to result in direct ventricular compression, thereby simulating cardiac ejection and generating cardiac output. However, two radiographic studies have suggested that in 46–80% of patients, the structures located in this location are the left ventricular outflow tract (LVOT), aortic valve, aortic root, or ascending aorta [84,85]. TEE appears to corroborate these findings. In a prospective observational study of 34 patients with nontraumatic cardiac arrest, the AMC was located at the aorta in 59% of patients and LVOT in 41% of patients [86]. Similarly, in a prospective study of 33 patients with out-of-hospital cardiac arrest (OHCA) who underwent TEE imaging during CPR, the AMC was identified over the aortic root or LVOT in 53% of cases [8]. As such, current hand placement for chest compressions may paradoxically impede cardiac output.
Few studies have examined the hemodynamic or mortality implications of the AMC location. Swine models have been promising. One such study examined the effect of AMC location on 26 pigs with ventricular fibrillation who were randomized to chest compressions at a “traditional” location (at the aortic root) versus over the center of the LV. Five pigs who received LV-centered compressions achieved ROSC compared to 0 when directed over the aortic root [87]. A separate study measured invasive hemodynamic parameters in 32 swine randomized to standard chest compression versus LV chest compressions. The latter group achieved significantly greater ETCO2, mean arterial blood pressure, and cerebral blood velocity. While not statistically significant, 17% of pigs achieved ROSC in the LV chest compression group as compared to 0% in the standard chest compression cohort [88]. In a single swine model utilizing real-time TEE to direct the location of chest compressions, Teran et al. demonstrated that when compressions were directed over the LV (as opposed to the LVOT), aortic pressures and ETCO2 were higher [89]. Moreover, the LVOT remained patent with intermittent aortic valve opening during chest compressions. In humans, data are sparse. In one retrospective study of 19 patients who received TEE during CPR, it was noted that LVOT opening was the only variable associated with ROSC [82].

5. Augmentation of Circulatory Support

The optimization of coronary and cerebral perfusion during cardiac arrest to promote ROSC and minimize hypoxic–ischemic brain injury is primarily achieved through high-quality chest compressions. Multiple approaches and adjunctive therapies to augment perfusion have been investigated in an effort to increase the likelihood of achieving ROSC and improve outcomes (Figure 3, Table 1). These therapies include various mechanical devices, respiratory valves, adjustments to patient positioning, and (most recently) venoarterial extracorporeal membrane oxygenation (VA-ECMO).

5.1. Standard Methods

Early CPA research was primarily focused on optimizing the various aspects of “standard CPR” as we know it today. Initial studies demonstrated poor outcomes associated with suboptimal perfusion due to inadequate performance of resuscitative measures. This included hyperventilation during CPR (associated with increased intrathoracic pressure, resulting in decreased preload and CPP) and poor-quality chest compressions (associated with inadequate CPP and low rates of ROSC) [6,91]. Ensuring appropriate ventilation and optimizing the rate and depth of chest compressions while minimizing interruptions are essential to improving outcomes [92,93].

5.2. Active Compression–Decompression CPR

Active compression–decompression CPR (ACD-CPR) is an alternative approach to chest compressions that utilizes a suction device with the intention of converting the passive chest wall expansion during traditional CPR to active expansion, enhancing venous return. The device design was based on out-of-hospital cardiac arrest (OHCA) data, where increased chest wall recoil velocity during traditional CPR was associated with improved survival and favorable neurologic outcomes. In animal and human studies, ACD-CPR is associated with improved cerebral perfusion, myocardial perfusion, and cardiac output [94,95,96,97,98]. Despite this favorable hemodynamic effect, in a predominantly OHCA patient population, there has been no consistent benefit of ACD-CPR on mortality, survival to discharge, survival at 1 year, or neurologic outcome [99,100,101,102]. Additionally, there was no observed increased risk for major complications from the device such as rib fractures, hemothorax, or pneumothorax. One multicenter randomized trial of OHCA patients demonstrated improved survival with ACD-CPR; however, this was confounded by the utilization of an impedance threshold device (described below) in the treatment arm [103]. Further clinical trials of ACD-CPR with an impedance threshold device in OHCA have demonstrated improved survival at a 1-year follow-up with favorable neurologic status [104,105]. This is suggestive of the potential utility of ACD-CPR in conjunction with an impedance threshold device rather than as an isolated therapy.

5.3. Mechanical Compression Devices

Mechanical devices have been developed that perform chest compressions and generate artificial circulation. There are two primary designs—one utilizes a load-distributing band applied circumferentially around the thorax, whereas the other uses a piston that is positioned over the sternum. Regardless of type, these devices have not been shown to improve outcomes from cardiac arrest and may be associated with an increased incidence of complications, most notably pneumothorax and hematoma [106,107,108,109,110,111]. While the data do not demonstrate superiority as compared to routine chest compressions during CPR, they (along with ACD-CPR devices) may play a vital role in sustaining high-quality chest compressions in the setting of too few rescuers, prolonged CPR, percutaneous intervention, or CPR required during transport [112,113]. Indeed, the use of a mechanical compression device was a major component of sustained CPR in all three major randomized trials evaluating eCPR [114,115,116].

5.4. Inspiratory Impedance Threshold Devices

An inspiratory impedance threshold device (ITD) is a valve connected to a patient undergoing bag-valve mask or invasive ventilation during chest compressions. When connected, air is precluded from entering the thorax during chest wall relaxation, thereby generating negative intrathoracic pressure, increasing venous return, augmenting preload, and improving myocardial perfusion [117]. Despite these favorable physiologic effects, ITD has not been shown to consistently improve clinical outcomes. In a large multicenter prospective trial of 8718 OHCA patients receiving traditional CPR with ITD or a sham device, there was no difference in survival to hospital discharge with satisfactory function (modified Rankin score ≤ 3) [118]. Similarly, there were no differences in other secondary outcomes, including the rates of ROSC, survival to hospital admission, or survival to hospital discharge. Studies investigating OHCA that employed both ACD-CPR and ITD therapy have shown that there may be a benefit in survival at 24 h, hospital discharge, and at 1-year follow-up [103,104,105,119]. Given these findings, the AHA 2020 CPR guidelines suggest that ITD may be considered in conjunction with ACD-CPR if equipment and trained personnel are available.

5.5. Interposed Abdominal Compression CPR

The addition of interposed abdominal compression (IAC) to standard CPR involves the application of positive pressure to the abdomen in opposition to the rhythm of chest compression. IAC-CPR serves to augment systolic and diastolic blood pressure, improving cerebral and myocardial perfusion [120]. When employed in an IHCA patient population, there is an increased rate of ROSC [121,122,123,124]. When evaluating its use by paramedics in an OHCA population, there was no significant difference in rates of resuscitation [125]. It remains to be seen whether IAC-CPR achieves improved rates of survival with a favorable functional status.

5.6. Automated Head/Thorax-Up Positioning CPR

The novel approach of automated head/thorax-up positioning CPR (AHUP-CPR) entails head and chest elevation to enhance venous return to augment cardiac preload, as well as allow for venous runoff from the intracranial space to avoid dangerous intracranial pressure elevation. Logistically, this is accomplished by the use of combined ACD-ITD, followed by the rapid deployment of an automated patient positioning device (APPD). The latter functions by elevating the patient’s head and mid-thorax to 12 cm and 8 cm, respectively. After 2 min, the patient’s head and thorax are raised to a final height of 24 cm and 12 cm.
AHUP-CPR has been primarily utilized in the OHCA patient population. In prospective registry studies, rapid initiation of AHUP-CPR conveyed a high probability of ROSC, survival to hospital discharge, and survival with favorable neurologic function in OHCA, irrespective of the presenting rhythm [126,127]. Follow-up prospective observational studies of AHUP-CPR in non-shockable OHCA demonstrated similar findings, with an increased likelihood of survival to hospital discharge in the AHUP-CPR group as opposed to the conventional CPR group [126,128].

5.7. Extracorporeal Cardiopulmonary Resuscitation (eCPR)

eCPR constitutes the utilization of VA-ECMO in order to restore cardiac output and systemic tissue perfusion. Its first successful application was by Kennedy in 1966, wherein seven out of eight patients (who were otherwise refractory to conventional resuscitative measures) were revived for a period of hours to days [129]. Given increasing provider familiarity with VA-ECMO (particularly for the management of cardiogenic shock) and greater availability of the technology, the use of eCPR has grown exponentially, surpassing 2000 cases annually [130].
To date, three major open-label, randomized controlled trials have assessed the efficacy of eCPR as opposed to standard ACLS. The ARREST trial was the first, randomizing 29 patients with refractory OHCA (requiring > 3 shocks) and initial shockable rhythms to eCPR versus standard ACLS [116]. At its first preplanned analysis, eCPR demonstrated superior survival to hospital discharge (43% vs. 7%, p = 0.023), and the trial was stopped early by the Data Safety and Monitoring Board (DSMB). Notably, favorable neurologic outcomes with a Cerebral Performance Category (CPC) 1–2 were higher in the eCPR group at discharge, 1 month, and 6 months; however, statistical comparisons could not be made due to a lack of survivorship in the ACLS arm. The Prague OHCA study enrolled 256 patients with a witnessed OHCA and any presenting rhythm without ROSC after 5 min and randomized them to intent to cannulate for eCPR or standard ACLS [114]. While this study was also stopped early by the DSMB, it was halted for futility. Survival at 180 days with a good neurologic outcome (CPC score 1–2) was not significantly different between groups (31.5% for eCPR versus 22.0% for ACLS; OR 1.63, 95% CI [0.93–2.85]; p = 0.09). Finally, the INCEPTION trial was the first multicenter eCPR study, enrolling 134 patients with an OHCA, initially shockable rhythm and absence of ROSC after 15 min to eCPR or standard ACLS [115]. Like the Prague OHCA trial, there was no difference in survival with a good neurologic status (CPC score 1–2) at 30 days between eCPR and ACLS (20% vs. 16%, respectively, p = 0.52).
There is ongoing debate on how best to reconcile the results of the aforementioned. Some attribute the disappointing results from the Prague OHCA and INCEPTION trials to differences in trial design [131]. These include but are not limited to the patients selected (e.g., the type of rhythm included, duration of “low-flow” time until randomization), cannulation expertise and volume (e.g., longer times to cannulation in INCEPTION with lower rates of successful initiation), local infrastructure design (e.g., ARREST and Prague OHCA were single-center studies with long-standing and robust eCPR programs, whereas INCEPTION was across the entire Netherlands without specific eCPR protocols in every region), and the duration of neuroprognostication (e.g., median of 1 day in INCEPTION). Moreover, utilizing Bayesian analyses, both the Prague OHCA and INCEPTION trials demonstrated neurologically favorable survival at 180 days and 30 days, respectively, across a number of skeptical and enthusiastic scenarios [132,133]. Undoubtedly, more trials will be warranted to validate the utility of eCPR. However, initiation within any program will require considerable infrastructural development with emergency medical services, the cannulating “center”, and other local hospitals. Moreover, which patients are the most likely to benefit still has yet to be delineated.
Table 1. Select trials examining the outcomes of novel cardiopulmonary resuscitation strategies.
Table 1. Select trials examining the outcomes of novel cardiopulmonary resuscitation strategies.
CPR Augmentation StrategyTrial Design/PopulationPrimary OutcomeResults (Intervention versus Standard CPR)Reference
Active Compression–Decompression CPRProspective, randomized control (n = 62)Initial resuscitation62% vs. 30%, p < 0.03Cohen TJ et al. [95]
Single center24 h survival45% vs. 9%, p < 0.004
IHCAHospital discharge
GCS
7% vs. 0%, p = NS
8.0 ± 1.3 vs. 3.5 ± 0.3, p < 0.02
Prospective, randomized control (n = 860)ROSCNo significant differences in any outcomeSchwab TM et al.
[101]
MulticenterHospital admission
OHCASurvival to discharge
Neurologic function
Prospective, randomized control1 h survival (IHCA)35.1% vs. 34.6%, p = 0.89Stiell IG et al. [102]
MulticenterSurvival to discharge (IHCA)11.4% vs. 10.4%, p = 0.64
IHCA (n = 773)/OHCA (n = 1011)MMSE (IHCA)37 vs. 37
1 h survival (OHCA)16.5% vs. 18.2%, p = 0.48
Survival to discharge (OHCA)3.7% vs. 4.6%, p = 0.49
MMSE (OHCA)35 vs. 35
Prospective, randomized control (n = 750)1-year survival5% vs. 2%, p = 0.03Plaisance P et al. [100]
Multicenter
OHCA
Mechanical Compression DevicesProspective, randomized control (n = 2589)4 h survival23.6% vs. 23.7%, p > 0.99Rubertsson S et al., LINC trial
[108]
Multicenter
OHCA
Piston device
Prospective, randomized control (n = 4231)Survival to hospital discharge9.4% vs. 11.0%, OR 1.06 (95% CI 0.83–1.37)Wik L et al., CIRC trial
[109]
Multicenter
OHCA
Band device
Pragmatic, cluster randomized control (n = 127)Proportion of eligible participants successfully randomized6% vs. 7%, OR 0.86 (95% CI 0.64–1.15)Perkins GD et al., PARAMEDIC trial
[107]
Multicenter
IHCA
Piston device
Impedance Threshold DevicesProspective, randomized control (n = 400)24 h survival22% vs. 33%, p = 0.02Plaisance P et al. [117]
Multicenter
OHCA
Prospective, randomized control (n = 8718)Survival to hospital discharge with modified Rankin score ≤ 35.8% vs. 6.0%, p = 0.71Aufderheide TP et al.
[118]
Multicenter
OHCA
Interposed Abdominal Compression CPRProspective, randomized control (n = 143)ROSC49% vs. 28%, p = 0.01Sack JB et al. [124]
Single center24 h survival33% vs. 13%, p = 0.009
IHCA
Prospective, randomized control (n = 135)ROSC51% vs. 27%, p = 0.007Sack JB et al. [123]
Single center24 h survival33% vs. 13%, p = 0.02
IHCASurvival to hospital discharge25% vs. 7%, p = 0.02
Prospective, randomized control (n = 291)ROSC31% vs. 28%, p = NSMateer JR et al. [125]
Single center
OHCA
Automated Head/Thorax Up Positioning CPRProspective, observational (n = 2322)ROSC34.2% vs. 17.9%, p < 0.0001Pepe PE et al. [127]
Single center
OHCA
Prospective, observational (n = 227)Survival to hospital discharge (initiated in <11 min)OR 3.28 (95% CI 1.55–6.92)Moore JC et al. [126]
MulticenterSurvival to hospital discharge (initiated in <18 min)OR 1.88 (95% CI 1.03, 3.44)
OHCA
Prospective, observational (n = 706)Survival to hospital discharge7.6% vs. 2.8%, OR 2.84 (95% CI 1.35, 5.96)Bachista KM et al.
[128]
Multicenter
OHCA
Extracorporeal CPR (eCPR)Prospective, randomized control (n = 29)Survival to hospital discharge43% vs. 7%, p = 0.023Yannopoulos D et al.,
ARREST trial
[116]
Single Center
OHCA
Prospective, randomized control (n = 256)Survival with good neurologic outcome (CPC 1 or 2) at 180 days31.5% vs. 22.0%, p = 0.09Belohlavek J et al., Prague OHCA trial
[114]
Single Center
OHCA
Prospective, randomized control (n = 134)Survival with good neurologic outcome (CPC 1 or 2) at 30 days20% vs. 16%, p = 0.52Suverein MN et al., INCEPTION trial
[115]
Multicenter
OHCA
Values are means ± SD unless otherwise reported. Abbreviations: CI, confidence interval; CPC, cerebral performance category; CPR, cardiopulmonary resuscitation; IHCA, in-hospital cardiac arrest; OHCA, out-of-hospital cardiac arrest; OR, odds ratio; ROSC, return of spontaneous circulation.

6. Conclusions

Despite the tremendous progress made in the development of CPR as we know it today, there is still much to learn on how best to monitor and augment systemic perfusion during cardiac arrest. While novel techniques such as the ones described continue to be innovated and studied, it is imperative that we continue to teach and reinforce the basics—high-quality chest compressions while maintaining adequate ventilation and minimal interruptions. This still remains our most readily and widely available asset in the treatment of cardiac arrest.

Author Contributions

Conceptualization, S.B. and E.Y.; writing—original draft preparation, S.B., R.A.P., B.V., and E.Y.; writing—review and editing, S.B. and E.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

ACLSAdvanced cardiac life support.
ACD-CPRActive compression–decompression cardiopulmonary resuscitation
ACD-ITDActive compression–decompression—impedance threshold device.
AHUP-CPRAutomated head-up position—cardiopulmonary resuscitation.
AMCArea of maximal compression.
CPRCardiopulmonary resuscitation.
CO2Carbon dioxide.
DBPDiastolic blood pressure.
eCPRExtracorporeal cardiopulmonary resuscitation.
ETCO2End-tidal carbon dioxide.
IACInterposed abdominal compressions.
ITDImpedance threshold device.
LVLeft ventricle.
LVOTLeft ventricular outflow tract.
NIRSNear-infrared spectroscopy.
OHCAOut-of-hospital cardiac arrest.
ROSCReturn of spontaneous circulation.
rSO2Regional cerebral oximetry.
TEETransesophageal echocardiogram.
TTETransthoracic echocardiogram.
VA-ECMOVenoarterial extracorporeal membrane oxygenation.
VFVentricular fibrillation.

References

  1. DeBard, M.L. The history of cardiopulmonary resuscitation. Ann. Emerg. Med. 1980, 9, 273–275. [Google Scholar] [CrossRef] [PubMed]
  2. Kouwenhoven, W.B.; Jude, J.R.; Knickerbocker, G.G. Closed-chest cardiac massage. JAMA 1960, 173, 1064–1067. [Google Scholar] [CrossRef] [PubMed]
  3. Meaney, P.A.; Bobrow, B.J.; Mancini, M.E.; Christenson, J.; Caen, A.R.d.; Bhanji, F.; Abella, B.S.; Kleinman, M.E.; Edelson, D.P.; Berg, R.A.; et al. Cardiopulmonary Resuscitation Quality: Improving Cardiac Resuscitation Outcomes Both Inside and Outside the Hospital. Circulation 2013, 128, 417–435. [Google Scholar] [CrossRef] [PubMed]
  4. Sutton, R.M.; Friess, S.H.; Naim, M.Y.; Lampe, J.W.; Bratinov, G.; Weiland, T.R., 3rd; Garuccio, M.; Nadkarni, V.M.; Becker, L.B.; Berg, R.A. Patient-centric blood pressure-targeted cardiopulmonary resuscitation improves survival from cardiac arrest. Am. J. Respir. Crit. Care Med. 2014, 190, 1255–1262. [Google Scholar] [CrossRef] [PubMed]
  5. Levine, R.L.; Wayne, M.A.; Miller, C.C. End-Tidal Carbon Dioxide and Outcome of Out-of-Hospital Cardiac Arrest. N. Engl. J. Med. 1997, 337, 301–306. [Google Scholar] [CrossRef]
  6. Paradis, N.A.; Martin, G.B.; Rivers, E.P.; Goetting, M.G.; Appleton, T.J.; Feingold, M.; Nowak, R.M. Coronary perfusion pressure and the return of spontaneous circulation in human cardiopulmonary resuscitation. JAMA 1990, 263, 1106–1113. [Google Scholar] [CrossRef] [PubMed]
  7. Parnia, S.; Yang, J.; Nguyen, R.; Ahn, A.; Zhu, J.; Inigo-Santiago, L.; Nasir, A.; Golder, K.; Ravishankar, S.; Bartlett, P.; et al. Cerebral Oximetry During Cardiac Arrest: A Multicenter Study of Neurologic Outcomes and Survival. Crit. Care Med. 2016, 44, 1663–1674. [Google Scholar] [CrossRef]
  8. Teran, F.; Dean, A.J.; Centeno, C.; Panebianco, N.L.; Zeidan, A.J.; Chan, W.; Abella, B.S. Evaluation of out-of-hospital cardiac arrest using transesophageal echocardiography in the emergency department. Resuscitation 2019, 137, 140–147. [Google Scholar] [CrossRef] [PubMed]
  9. Lurie, K.G.; Nemergut, E.C.; Yannopoulos, D.; Sweeney, M. The Physiology of Cardiopulmonary Resuscitation. Anesth. Analg. 2016, 122, 767–783. [Google Scholar] [CrossRef]
  10. Cipani, S.; Bartolozzi, C.; Ballo, P.; Sarti, A. Blood flow maintenance by cardiac massage during cardiopulmonary resuscitation: Classical theories, newer hypotheses, and clinical utility of mechanical devices. J. Intensive Care Soc. 2019, 20, 2–10. [Google Scholar] [CrossRef]
  11. Low, C.J.W.; Ramanathan, K.; Ling, R.R.; Ho, M.J.C.; Chen, Y.; Lorusso, R.; MacLaren, G.; Shekar, K.; Brodie, D. Extracorporeal cardiopulmonary resuscitation versus conventional cardiopulmonary resuscitation in adults with cardiac arrest: A comparative meta-analysis and trial sequential analysis. Lancet Respir. Med. 2023, 11, 883–893. [Google Scholar] [CrossRef]
  12. Weisfeldt, M.L.; Chandra, N. Physiology of cardiopulmonary resuscitation. Annu. Rev. Med. 1981, 32, 435–442. [Google Scholar] [CrossRef] [PubMed]
  13. Feneley, M.P.; Maier, G.W.; Gaynor, J.W.; Gall, S.A.; Kisslo, J.A.; Davis, J.W.; Rankin, J.S. Sequence of mitral valve motion and transmitral blood flow during manual cardiopulmonary resuscitation in dogs. Circulation 1987, 76, 363–375. [Google Scholar] [CrossRef] [PubMed]
  14. Rudikoff, M.T.; Maughan, W.L.; Effron, M.; Freund, P.; Weisfeldt, M.L. Mechanisms of blood flow during cardiopulmonary resuscitation. Circulation 1980, 61, 345–352. [Google Scholar] [CrossRef] [PubMed]
  15. Redberg, R.F.; Tucker, K.J.; Cohen, T.J.; Dutton, J.P.; Callaham, M.L.; Schiller, N.B. Physiology of blood flow during cardiopulmonary resuscitation. A transesophageal echocardiographic study. Circulation 1993, 88, 534–542. [Google Scholar] [CrossRef] [PubMed]
  16. Criley, J.M.; Blaufuss, A.H.; Kissel, G.L. Cough-induced cardiac compression. Self-administered from of cardiopulmonary resuscitation. JAMA 1976, 236, 1246–1250. [Google Scholar] [CrossRef] [PubMed]
  17. Porter, T.R.; Ornato, J.P.; Guard, C.S.; Roy, V.G.; Burns, C.A.; Nixon, J.V. Transesophageal echocardiography to assess mitral valve function and flow during cardiopulmonary resuscitation. Am. J. Cardiol. 1992, 70, 1056–1060. [Google Scholar] [CrossRef] [PubMed]
  18. Merdji, H.; Levy, B.; Jung, C.; Ince, C.; Siegemund, M.; Meziani, F. Microcirculatory dysfunction in cardiogenic shock. Ann. Intensive Care 2023, 13, 38. [Google Scholar] [CrossRef]
  19. Ince, C. Hemodynamic coherence and the rationale for monitoring the microcirculation. Crit. Care 2015, 19 (Suppl. 3), S8. [Google Scholar] [CrossRef]
  20. Fries, M.; Weil, M.H.; Chang, Y.T.; Castillo, C.; Tang, W. Microcirculation during cardiac arrest and resuscitation. Crit. Care Med. 2006, 34, S454–S457. [Google Scholar] [CrossRef]
  21. Krupickova, P.; Mlcek, M.; Huptych, M.; Mormanova, Z.; Boucek, T.; Belza, T.; Lacko, S.; Cerny, M.; Neuzil, P.; Kittnar, O.; et al. Microcirculatory blood flow during cardiac arrest and cardiopulmonary resuscitation does not correlate with global hemodynamics: An experimental study. J. Transl. Med. 2016, 14, 163. [Google Scholar] [CrossRef] [PubMed]
  22. Fries, M.; Tang, W.; Chang, Y.T.; Wang, J.; Castillo, C.; Weil, M.H. Microvascular blood flow during cardiopulmonary resuscitation is predictive of outcome. Resuscitation 2006, 71, 248–253. [Google Scholar] [CrossRef] [PubMed]
  23. Qian, J.; Yang, Z.; Cahoon, J.; Xu, J.; Zhu, C.; Yang, M.; Hu, X.; Sun, S.; Tang, W. Post-resuscitation intestinal microcirculation: Its relationship with sublingual microcirculation and the severity of post-resuscitation syndrome. Resuscitation 2014, 85, 833–839. [Google Scholar] [CrossRef] [PubMed]
  24. Omar, Y.G.; Massey, M.; Andersen, L.W.; Giberson, T.A.; Berg, K.; Cocchi, M.N.; Shapiro, N.I.; Donnino, M.W. Sublingual microcirculation is impaired in post-cardiac arrest patients. Resuscitation 2013, 84, 1717–1722. [Google Scholar] [CrossRef] [PubMed]
  25. van Genderen, M.E.; Lima, A.; Akkerhuis, M.; Bakker, J.; van Bommel, J. Persistent peripheral and microcirculatory perfusion alterations after out-of-hospital cardiac arrest are associated with poor survival. Crit. Care Med. 2012, 40, 2287–2294. [Google Scholar] [CrossRef] [PubMed]
  26. Krupickova, P.; Mormanova, Z.; Boucek, T.; Belza, T.; Smalcova, J.; Belohlavek, J. Microvascular perfusion in cardiac arrest: A review of microcirculatory imaging studies. Perfusion 2018, 33, 8–15. [Google Scholar] [CrossRef] [PubMed]
  27. Debaty, G.; Shin, S.D.; Metzger, A.; Kim, T.; Ryu, H.H.; Rees, J.; McKnite, S.; Matsuura, T.; Lick, M.; Yannopoulos, D.; et al. Tilting for perfusion: Head-up position during cardiopulmonary resuscitation improves brain flow in a porcine model of cardiac arrest. Resuscitation 2015, 87, 38–43. [Google Scholar] [CrossRef] [PubMed]
  28. Ryoo, S.M.; Lee, J.; Lee, Y.S.; Lee, J.H.; Lim, K.S.; Huh, J.W.; Hong, S.B.; Lim, C.M.; Koh, Y.; Kim, W.Y. Lactate Level Versus Lactate Clearance for Predicting Mortality in Patients With Septic Shock Defined by Sepsis-3. Crit. Care Med. 2018, 46, e489–e495. [Google Scholar] [CrossRef] [PubMed]
  29. Schork, A.; Moll, K.; Haap, M.; Riessen, R.; Wagner, R. Course of lactate, pH and base excess for prediction of mortality in medical intensive care patients. PLoS ONE 2021, 16, e0261564. [Google Scholar] [CrossRef]
  30. Trebuian, C.I.; Brici, O.M.; Sutoi, D.; Popa, D.I.; Chioibas, D.R.; Mederle, O.A. Lactate Levels and Clearance: Key Predictors of Prognosis for COVID-19 and Non-COVID-19 Septic Shock Patients in the Emergency Department. Clin. Pract. 2024, 14, 834–845. [Google Scholar] [CrossRef]
  31. Donnino, M.W.; Miller, J.; Goyal, N.; Loomba, M.; Sankey, S.S.; Dolcourt, B.; Sherwin, R.; Otero, R.; Wira, C. Effective lactate clearance is associated with improved outcome in post-cardiac arrest patients. Resuscitation 2007, 75, 229–234. [Google Scholar] [CrossRef] [PubMed]
  32. During, J.; Dankiewicz, J.; Cronberg, T.; Hassager, C.; Hovdenes, J.; Kjaergaard, J.; Kuiper, M.; Nielsen, N.; Pellis, T.; Stammet, P.; et al. Lactate, lactate clearance and outcome after cardiac arrest: A post-hoc analysis of the TTM-Trial. Acta Anaesthesiol. Scand. 2018, 62, 1436–1442. [Google Scholar] [CrossRef] [PubMed]
  33. Dusik, M.; Rob, D.; Smalcova, J.; Havranek, S.; Karasek, J.; Smid, O.; Brodska, H.L.; Kavalkova, P.; Huptych, M.; Bakker, J.; et al. Serum lactate in refractory out-of-hospital cardiac arrest: Post-hoc analysis of the Prague OHCA study. Resuscitation 2023, 192, 109935. [Google Scholar] [CrossRef] [PubMed]
  34. Harhash, A.A.; May, T.L.; Hsu, C.H.; Agarwal, S.; Seder, D.B.; Mooney, M.R.; Patel, N.; McPherson, J.; McMullan, P.; Riker, R.; et al. Risk Stratification Among Survivors of Cardiac Arrest Considered for Coronary Angiography. J. Am. Coll. Cardiol. 2021, 77, 360–371. [Google Scholar] [CrossRef]
  35. Starodub, R.; Abella, B.S.; Grossestreuer, A.V.; Shofer, F.S.; Perman, S.M.; Leary, M.; Gaieski, D.F. Association of serum lactate and survival outcomes in patients undergoing therapeutic hypothermia after cardiac arrest. Resuscitation 2013, 84, 1078–1082. [Google Scholar] [CrossRef] [PubMed]
  36. Jung, C.; Bueter, S.; Wernly, B.; Masyuk, M.; Saeed, D.; Albert, A.; Fuernau, G.; Kelm, M.; Westenfeld, R. Lactate Clearance Predicts Good Neurological Outcomes in Cardiac Arrest Patients Treated with Extracorporeal Cardiopulmonary Resuscitation. J. Clin. Med. 2019, 8, 374. [Google Scholar] [CrossRef]
  37. Mizutani, T.; Umemoto, N.; Taniguchi, T.; Ishii, H.; Hiramatsu, Y.; Arata, K.; Takuya, H.; Inoue, S.; Sugiura, T.; Asai, T.; et al. The lactate clearance calculated using serum lactate level 6 h after is an important prognostic predictor after extracorporeal cardiopulmonary resuscitation: A single-center retrospective observational study. J. Intensive Care 2018, 6, 33. [Google Scholar] [CrossRef]
  38. Duse, D.A.; Grone, M.; Kramser, N.; Ortkemper, M.; Quast, C.; Voss, F.; Heramvand, N.; Kostev, K.; Kelm, M.; Horn, P.; et al. Elevated Initial Serum Phosphate Levels Predict Higher Mortality and Impaired Neurological Outcome in Cardiac Arrest Patients with Return of Spontaneous Circulation. Diagnostics 2023, 13, 479. [Google Scholar] [CrossRef]
  39. Jung, Y.H.; Lee, B.K.; Jeung, K.W.; Youn, C.S.; Lee, D.H.; Lee, S.M.; Heo, T.; Min, Y.I. Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest. Resuscitation 2018, 128, 56–62. [Google Scholar] [CrossRef]
  40. Makino, J.; Uchino, S.; Morimatsu, H.; Bellomo, R. A quantitative analysis of the acidosis of cardiac arrest: A prospective observational study. Crit. Care 2005, 9, R357–R362. [Google Scholar] [CrossRef]
  41. Panchal, A.R.; Bartos, J.A.; Cabanas, J.G.; Donnino, M.W.; Drennan, I.R.; Hirsch, K.G.; Kudenchuk, P.J.; Kurz, M.C.; Lavonas, E.J.; Morley, P.T.; et al. 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. [Google Scholar] [CrossRef] [PubMed]
  42. Kern, K.B. Coronary perfusion pressure during cardiopulmonary resuscitation. Best Pract. Res. Clin. Anaesthesiol. 2000, 14, 591–609. [Google Scholar] [CrossRef]
  43. Halperin, H.R.; Tsitlik, J.E.; Guerci, A.D.; Mellits, E.D.; Levin, H.R.; Shi, A.Y.; Chandra, N.; Weisfeldt, M.L. Determinants of blood flow to vital organs during cardiopulmonary resuscitation in dogs. Circulation 1986, 73, 539–550. [Google Scholar] [CrossRef] [PubMed]
  44. Kern, K.B.; Lancaster, L.; Goldman, S.; Ewy, G.A. The effect of coronary artery lesions on the relationship between coronary perfusion pressure and myocardial blood flow during cardiopulmonary resuscitation in pigs. Am. Heart J. 1990, 120, 324–333. [Google Scholar] [CrossRef]
  45. Michael, J.R.; Guerci, A.D.; Koehler, R.C.; Shi, A.Y.; Tsitlik, J.; Chandra, N.; Niedermeyer, E.; Rogers, M.C.; Traystman, R.J.; Weisfeldt, M.L. Mechanisms by which epinephrine augments cerebral and myocardial perfusion during cardiopulmonary resuscitation in dogs. Circulation 1984, 69, 822–835. [Google Scholar] [CrossRef] [PubMed]
  46. Ralston, S.H.; Voorhees, W.D.; Babbs, C.F. Intrapulmonary epinephrine during prolonged cardiopulmonary resuscitation: Improved regional blood flow and resuscitation in dogs. Ann. Emerg. Med. 1984, 13, 79–86. [Google Scholar] [CrossRef] [PubMed]
  47. Martin, G.B.; Carden, D.L.; Nowak, R.M.; Lewinter, J.R.; Johnston, W.; Tomlanovich, M.C. Aortic and right atrial pressures during standard and simultaneous compression and ventilation CPR in human beings. Ann. Emerg. Med. 1986, 15, 125–130. [Google Scholar] [CrossRef]
  48. Paradis, N.A.; Martin, G.B.; Goetting, M.G.; Rosenberg, J.M.; Rivers, E.P.; Appleton, T.J.; Nowak, R.M. Simultaneous aortic, jugular bulb, and right atrial pressures during cardiopulmonary resuscitation in humans. Insights into mechanisms. Circulation 1989, 80, 361–368. [Google Scholar] [CrossRef] [PubMed]
  49. Sanders, A.B.; Ogle, M.; Ewy, G.A. Coronary perfusion pressure during cardiopulmonary resuscitation. Am. J. Emerg. Med. 1985, 3, 11–14. [Google Scholar] [CrossRef]
  50. Anderson, C.T.; Breen, P.H. Carbon dioxide kinetics and capnography during critical care. Crit. Care 2000, 4, 207–215. [Google Scholar] [CrossRef]
  51. Pantazopoulos, C.; Xanthos, T.; Pantazopoulos, I.; Papalois, A.; Kouskouni, E.; Iacovidou, N. A Review of Carbon Dioxide Monitoring During Adult Cardiopulmonary Resuscitation. Heart Lung Circ. 2015, 24, 1053–1061. [Google Scholar] [CrossRef] [PubMed]
  52. Kalenda, Z. The capnogram as a guide to the efficacy of cardiac massage. Resuscitation 1978, 6, 259–263. [Google Scholar] [CrossRef] [PubMed]
  53. Bhende, M.S.; Karasic, D.G.; Menegazzi, J.J. Evaluation of an end-tidal CO2 detector during cardiopulmonary resuscitation in a canine model for pediatric cardiac arrest. Pediatr. Emerg. Care 1995, 11, 365–368. [Google Scholar] [CrossRef] [PubMed]
  54. Grmec, S.; Kupnik, D. Does the Mainz Emergency Evaluation Scoring (MEES) in combination with capnometry (MEESc) help in the prognosis of outcome from cardiopulmonary resuscitation in a prehospital setting? Resuscitation 2003, 58, 89–96. [Google Scholar] [CrossRef] [PubMed]
  55. Grmec, S.; Lah, K.; Tusek-Bunc, K. Difference in end-tidal CO2 between asphyxia cardiac arrest and ventricular fibrillation/pulseless ventricular tachycardia cardiac arrest in the prehospital setting. Crit. Care 2003, 7, R139–R144. [Google Scholar] [CrossRef] [PubMed]
  56. Falk, J.L.; Rackow, E.C.; Weil, M.H. End-tidal carbon dioxide concentration during cardiopulmonary resuscitation. N. Engl. J. Med. 1988, 318, 607–611. [Google Scholar] [CrossRef] [PubMed]
  57. Sheak, K.R.; Wiebe, D.J.; Leary, M.; Babaeizadeh, S.; Yuen, T.C.; Zive, D.; Owens, P.C.; Edelson, D.P.; Daya, M.R.; Idris, A.H.; et al. Quantitative relationship between end-tidal carbon dioxide and CPR quality during both in-hospital and out-of-hospital cardiac arrest. Resuscitation 2015, 89, 149–154. [Google Scholar] [CrossRef] [PubMed]
  58. White, R.D.; Asplin, B.R. Out-of-hospital quantitative monitoring of end-tidal carbon dioxide pressure during CPR. Ann. Emerg. Med. 1994, 23, 25–30. [Google Scholar] [CrossRef]
  59. Cantineau, J.P.; Lambert, Y.; Merckx, P.; Reynaud, P.; Porte, F.; Bertrand, C.; Duvaldestin, P. End-tidal carbon dioxide during cardiopulmonary resuscitation in humans presenting mostly with asystole: A predictor of outcome. Crit. Care Med. 1996, 24, 791–796. [Google Scholar] [CrossRef] [PubMed]
  60. Eckstein, M.; Hatch, L.; Malleck, J.; McClung, C.; Henderson, S.O. End-tidal CO2 as a predictor of survival in out-of-hospital cardiac arrest. Prehosp. Disaster Med. 2011, 26, 148–150. [Google Scholar] [CrossRef]
  61. Pokorná, M.; Necas, E.; Kratochvíl, J.; Skripský, R.; Andrlík, M.; Franek, O. A sudden increase in partial pressure end-tidal carbon dioxide (PETCO2) at the moment of return of spontaneous circulation. J. Emerg. Med. 2010, 38, 614–621. [Google Scholar] [CrossRef] [PubMed]
  62. Wayne, M.A.; Levine, R.L.; Miller, C.C. Use of end-tidal carbon dioxide to predict outcome in prehospital cardiac arrest. Ann. Emerg. Med. 1995, 25, 762–767. [Google Scholar] [CrossRef]
  63. Kolar, M.; Krizmaric, M.; Klemen, P.; Grmec, S. Partial pressure of end-tidal carbon dioxide successful predicts cardiopulmonary resuscitation in the field: A prospective observational study. Crit. Care 2008, 12, R115. [Google Scholar] [CrossRef] [PubMed]
  64. Merchant, R.M.; Topjian, A.A.; Panchal, A.R.; Cheng, A.; Aziz, K.; Berg, K.M.; Lavonas, E.J.; Magid, D.J. Part 1: Executive Summary: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2020, 142, S337–S357. [Google Scholar] [CrossRef] [PubMed]
  65. Curtis, J.; Gravenstein, N.; Giordano, C. End-tidal carbon dioxide and ventilation during CPR in relation to the 2020 American Heart Association guidelines for cardiopulmonary resuscitation. J. Clin. Anesth. 2021, 75, 110553. [Google Scholar] [CrossRef]
  66. Sutton, R.M.; French, B.; Meaney, P.A.; Topjian, A.A.; Parshuram, C.S.; Edelson, D.P.; Schexnayder, S.; Abella, B.S.; Merchant, R.M.; Bembea, M.; et al. Physiologic monitoring of CPR quality during adult cardiac arrest: A propensity-matched cohort study. Resuscitation 2016, 106, 76–82. [Google Scholar] [CrossRef]
  67. Bullock, A.; Dodington, J.M.; Donoghue, A.J.; Langhan, M.L. Capnography Use During Intubation and Cardiopulmonary Resuscitation in the Pediatric Emergency Department. Pediatr. Emerg. Care 2017, 33, 457–461. [Google Scholar] [CrossRef]
  68. Berg, R.A.; Sutton, R.M.; Reeder, R.W.; Berger, J.T.; Newth, C.J.; Carcillo, J.A.; McQuillen, P.S.; Meert, K.L.; Yates, A.R.; Harrison, R.E. Association between diastolic blood pressure during pediatric in-hospital cardiopulmonary resuscitation and survival. Circulation 2018, 137, 1784–1795. [Google Scholar] [CrossRef]
  69. Sainio, M.; Hoppu, S.; Huhtala, H.; Eilevstjønn, J.; Olkkola, K.T.; Tenhunen, J. Simultaneous beat-to-beat assessment of arterial blood pressure and quality of cardiopulmonary resuscitation in out-of-hospital and in-hospital settings. Resuscitation 2015, 96, 163–169. [Google Scholar] [CrossRef]
  70. Perman, S.M.; Stanton, E.; Soar, J.; Berg, R.A.; Donnino, M.W.; Mikkelsen, M.E.; Edelson, D.P.; Churpek, M.M.; Yang, L.; Merchant, R.M.; et al. Location of In-Hospital Cardiac Arrest in the United States-Variability in Event Rate and Outcomes. J. Am. Heart Assoc. 2016, 5. [Google Scholar] [CrossRef]
  71. Morgan, R.W.; French, B.; Kilbaugh, T.J.; Naim, M.Y.; Wolfe, H.; Bratinov, G.; Shoap, W.; Hsieh, T.-C.; Nadkarni, V.M.; Berg, R.A.; et al. A quantitative comparison of physiologic indicators of cardiopulmonary resuscitation quality: Diastolic blood pressure versus end-tidal carbon dioxide. Resuscitation 2016, 104, 6–11. [Google Scholar] [CrossRef] [PubMed]
  72. Tosh, W.; Patteril, M. Cerebral oximetry. BJA Educ. 2016, 16, 417–421. [Google Scholar] [CrossRef]
  73. Sandroni, C.; Parnia, S.; Nolan, J.P. Cerebral oximetry in cardiac arrest: A potential role but with limitations. Intensive Care Med. 2019, 45, 904–906. [Google Scholar] [CrossRef] [PubMed]
  74. Sanfilippo, F.; Murabito, P.; Messina, A.; Dezio, V.; Busalacchi, D.; Ristagno, G.; Cecconi, M.; Astuto, M. Cerebral regional oxygen saturation during cardiopulmonary resuscitation and return of spontaneous circulation: A systematic review and meta-analysis. Resuscitation 2021, 159, 19–27. [Google Scholar] [CrossRef] [PubMed]
  75. Parnia, S.; Nasir, A.; Ahn, A.; Malik, H.; Yang, J.; Zhu, J.; Dorazi, F.; Richman, P. A feasibility study of cerebral oximetry during in-hospital mechanical and manual cardiopulmonary resuscitation. Crit. Care Med. 2014, 42, 930–933. [Google Scholar] [CrossRef] [PubMed]
  76. Genbrugge, C.; Dens, J.; Meex, I.; Boer, W.; Eertmans, W.; Sabbe, M.; Jans, F.; De Deyne, C. Regional Cerebral Oximetry During Cardiopulmonary Resuscitation: Useful or Useless? J. Emerg. Med. 2016, 50, 198–207. [Google Scholar] [CrossRef] [PubMed]
  77. Engel, T.W., 2nd; Thomas, C.; Medado, P.; Bastani, A.; Reed, B.; Millis, S.; O’Neil, B.J. End tidal CO2 and cerebral oximetry for the prediction of return of spontaneous circulation during cardiopulmonary resuscitation. Resuscitation 2019, 139, 174–181. [Google Scholar] [CrossRef] [PubMed]
  78. Chardoli, M.; Heidari, F.; Rabiee, H.; Sharif-Alhoseini, M.; Shokoohi, H.; Rahimi-Movaghar, V. Echocardiography integrated ACLS protocol versus conventional cardiopulmonary resuscitation in patients with pulseless electrical activity cardiac arrest. Chin. J. Traumatol. 2012, 15, 284–287. [Google Scholar]
  79. Clattenburg, E.J.; Wroe, P.; Brown, S.; Gardner, K.; Losonczy, L.; Singh, A.; Nagdev, A. Point-of-care ultrasound use in patients with cardiac arrest is associated prolonged cardiopulmonary resuscitation pauses: A prospective cohort study. Resuscitation 2018, 122, 65–68. [Google Scholar] [CrossRef]
  80. Huis In ‘t Veld, M.A.; Allison, M.G.; Bostick, D.S.; Fisher, K.R.; Goloubeva, O.G.; Witting, M.D.; Winters, M.E. Ultrasound use during cardiopulmonary resuscitation is associated with delays in chest compressions. Resuscitation 2017, 119, 95–98. [Google Scholar] [CrossRef]
  81. Fair, J., 3rd; Mallin, M.P.; Adler, A.; Ockerse, P.; Steenblik, J.; Tonna, J.; Youngquist, S.T. Transesophageal Echocardiography During Cardiopulmonary Resuscitation Is Associated With Shorter Compression Pauses Compared With Transthoracic Echocardiography. Ann. Emerg. Med. 2019, 73, 610–616. [Google Scholar] [CrossRef] [PubMed]
  82. Catena, E.; Ottolina, D.; Fossali, T.; Rech, R.; Borghi, B.; Perotti, A.; Ballone, E.; Bergomi, P.; Corona, A.; Castelli, A.; et al. Association between left ventricular outflow tract opening and successful resuscitation after cardiac arrest. Resuscitation 2019, 138, 8–14. [Google Scholar] [CrossRef] [PubMed]
  83. Teran, F.; Prats, M.I.; Nelson, B.P.; Kessler, R.; Blaivas, M.; Peberdy, M.A.; Shillcutt, S.K.; Arntfield, R.T.; Bahner, D. Focused Transesophageal Echocardiography During Cardiac Arrest Resuscitation: JACC Review Topic of the Week. J. Am. Coll. Cardiol. 2020, 76, 745–754. [Google Scholar] [CrossRef] [PubMed]
  84. Nestaas, S.; Stensaeth, K.H.; Rosseland, V.; Kramer-Johansen, J. Radiological assessment of chest compression point and achievable compression depth in cardiac patients. Scand. J. Trauma. Resusc. Emerg. Med. 2016, 24, 54. [Google Scholar] [CrossRef] [PubMed]
  85. Shin, J.; Rhee, J.E.; Kim, K. Is the inter-nipple line the correct hand position for effective chest compression in adult cardiopulmonary resuscitation? Resuscitation 2007, 75, 305–310. [Google Scholar] [CrossRef] [PubMed]
  86. Hwang, S.O.; Zhao, P.G.; Choi, H.J.; Park, K.H.; Cha, K.C.; Park, S.M.; Kim, S.C.; Kim, H.; Lee, K.H. Compression of the left ventricular outflow tract during cardiopulmonary resuscitation. Acad. Emerg. Med. 2009, 16, 928–933. [Google Scholar] [CrossRef] [PubMed]
  87. Anderson, K.L.; Fiala, K.C.; Castaneda, M.G.; Boudreau, S.M.; Arana, A.A.; Bebarta, V.S. Left ventricular compressions improve return of spontaneous circulation and hemodynamics in a swine model of traumatic cardiopulmonary arrest. J. Trauma. Acute Care Surg. 2018, 85, 303–310. [Google Scholar] [CrossRef] [PubMed]
  88. Marshall, R.A.; Morton, J.S.; Luchkanych, A.M.S.; El Karsh, Y.; El Karsh, Z.; Morse, C.; Tomczak, C.R.; Grunau, B.E.; Olver, T.D. Left ventricle chest compression improves ETCO2, blood pressure, and cerebral blood velocity in a swine model of cardiac arrest and cardiopulmonary resuscitation. Resusc. Plus 2022, 12, 100326. [Google Scholar] [CrossRef] [PubMed]
  89. Teran, F.; Owyang, C.G.; Martin-Flores, M.; Lao, D.; King, A.; Palasz, J.; Araos, J.D. Hemodynamic impact of chest compression location during cardiopulmonary resuscitation guided by transesophageal echocardiography. Crit. Care 2023, 27, 319. [Google Scholar] [CrossRef]
  90. Lurie, K.G.; Lindner, K.H. Recent advances in cardiopulmonary resuscitation. J. Cardiovasc. Electrophysiol. 1997, 8, 584–600. [Google Scholar] [CrossRef]
  91. Aufderheide, T.P.; Sigurdsson, G.; Pirrallo, R.G.; Yannopoulos, D.; McKnite, S.; von Briesen, C.; Sparks, C.W.; Conrad, C.J.; Provo, T.A.; Lurie, K.G. Hyperventilation-induced hypotension during cardiopulmonary resuscitation. Circulation 2004, 109, 1960–1965. [Google Scholar] [CrossRef]
  92. Abella, B.S.; Sandbo, N.; Vassilatos, P.; Alvarado, J.P.; O’Hearn, N.; Wigder, H.N.; Hoffman, P.; Tynus, K.; Vanden Hoek, T.L.; Becker, L.B. Chest compression rates during cardiopulmonary resuscitation are suboptimal: A prospective study during in-hospital cardiac arrest. Circulation 2005, 111, 428–434. [Google Scholar] [CrossRef] [PubMed]
  93. Edelson, D.P.; Abella, B.S.; Kramer-Johansen, J.; Wik, L.; Myklebust, H.; Barry, A.M.; Merchant, R.M.; Hoek, T.L.; Steen, P.A.; Becker, L.B. Effects of compression depth and pre-shock pauses predict defibrillation failure during cardiac arrest. Resuscitation 2006, 71, 137–145. [Google Scholar] [CrossRef]
  94. Berve, P.O.; Hardig, B.M.; Skalhegg, T.; Kongsgaard, H.; Kramer-Johansen, J.; Wik, L. Mechanical active compression-decompression versus standard mechanical cardiopulmonary resuscitation: A randomised haemodynamic out-of-hospital cardiac arrest study. Resuscitation 2022, 170, 1–10. [Google Scholar] [CrossRef]
  95. Cohen, T.J.; Goldner, B.G.; Maccaro, P.C.; Ardito, A.P.; Trazzera, S.; Cohen, M.B.; Dibs, S.R. A comparison of active compression-decompression cardiopulmonary resuscitation with standard cardiopulmonary resuscitation for cardiac arrests occurring in the hospital. N. Engl. J. Med. 1993, 329, 1918–1921. [Google Scholar] [CrossRef] [PubMed]
  96. Lindner, K.H.; Pfenninger, E.G.; Lurie, K.G.; Schurmann, W.; Lindner, I.M.; Ahnefeld, F.W. Effects of active compression-decompression resuscitation on myocardial and cerebral blood flow in pigs. Circulation 1993, 88, 1254–1263. [Google Scholar] [CrossRef]
  97. Steinberg, M.T.; Olsen, J.A.; Eriksen, M.; Neset, A.; Norseng, P.A.; Kramer-Johansen, J.; Hardig, B.M.; Wik, L. Haemodynamic outcomes during piston-based mechanical CPR with or without active decompression in a porcine model of cardiac arrest. Scand. J. Trauma. Resusc. Emerg. Med. 2018, 26, 31. [Google Scholar] [CrossRef]
  98. Tucker, K.J.; Redberg, R.F.; Schiller, N.B.; Cohen, T.J. Active compression-decompression resuscitation: Analysis of transmitral flow and left ventricular volume by transesophageal echocardiography in humans. Cardiopulmonary Resuscitation Working Group. J. Am. Coll. Cardiol. 1993, 22, 1485–1493. [Google Scholar] [CrossRef]
  99. Lafuente-Lafuente, C.; Melero-Bascones, M. Active chest compression-decompression for cardiopulmonary resuscitation. Cochrane Database Syst. Rev. 2013, 2013, CD002751. [Google Scholar] [CrossRef] [PubMed]
  100. Plaisance, P.; Lurie, K.G.; Vicaut, E.; Adnet, F.; Petit, J.L.; Epain, D.; Ecollan, P.; Gruat, R.; Cavagna, P.; Biens, J.; et al. A comparison of standard cardiopulmonary resuscitation and active compression-decompression resuscitation for out-of-hospital cardiac arrest. French Active Compression-Decompression Cardiopulmonary Resuscitation Study Group. N. Engl. J. Med. 1999, 341, 569–575. [Google Scholar] [CrossRef]
  101. Schwab, T.M.; Callaham, M.L.; Madsen, C.D.; Utecht, T.A. A randomized clinical trial of active compression-decompression CPR vs standard CPR in out-of-hospital cardiac arrest in two cities. JAMA 1995, 273, 1261–1268. [Google Scholar] [CrossRef] [PubMed]
  102. Stiell, I.G.; Hebert, P.C.; Wells, G.A.; Laupacis, A.; Vandemheen, K.; Dreyer, J.F.; Eisenhauer, M.A.; Gibson, J.; Higginson, L.A.; Kirby, A.S.; et al. The Ontario trial of active compression-decompression cardiopulmonary resuscitation for in-hospital and prehospital cardiac arrest. JAMA 1996, 275, 1417–1423. [Google Scholar] [CrossRef]
  103. Aufderheide, T.P.; Frascone, R.J.; Wayne, M.A.; Mahoney, B.D.; Swor, R.A.; Domeier, R.M.; Olinger, M.L.; Holcomb, R.G.; Tupper, D.E.; Yannopoulos, D.; et al. Standard cardiopulmonary resuscitation versus active compression-decompression cardiopulmonary resuscitation with augmentation of negative intrathoracic pressure for out-of-hospital cardiac arrest: A randomised trial. Lancet 2011, 377, 301–311. [Google Scholar] [CrossRef]
  104. Frascone, R.J.; Wayne, M.A.; Swor, R.A.; Mahoney, B.D.; Domeier, R.M.; Olinger, M.L.; Tupper, D.E.; Setum, C.M.; Burkhart, N.; Klann, L.; et al. Treatment of non-traumatic out-of-hospital cardiac arrest with active compression decompression cardiopulmonary resuscitation plus an impedance threshold device. Resuscitation 2013, 84, 1214–1222. [Google Scholar] [CrossRef]
  105. Wolcke, B.B.; Mauer, D.K.; Schoefmann, M.F.; Teichmann, H.; Provo, T.A.; Lindner, K.H.; Dick, W.F.; Aeppli, D.; Lurie, K.G. Comparison of standard cardiopulmonary resuscitation versus the combination of active compression-decompression cardiopulmonary resuscitation and an inspiratory impedance threshold device for out-of-hospital cardiac arrest. Circulation 2003, 108, 2201–2205. [Google Scholar] [CrossRef] [PubMed]
  106. Khan, S.U.; Lone, A.N.; Talluri, S.; Khan, M.Z.; Khan, M.U.; Kaluski, E. Efficacy and safety of mechanical versus manual compression in cardiac arrest—A Bayesian network meta-analysis. Resuscitation 2018, 130, 182–188. [Google Scholar] [CrossRef] [PubMed]
  107. Perkins, G.D.; Lall, R.; Quinn, T.; Deakin, C.D.; Cooke, M.W.; Horton, J.; Lamb, S.E.; Slowther, A.M.; Woollard, M.; Carson, A.; et al. Mechanical versus manual chest compression for out-of-hospital cardiac arrest (PARAMEDIC): A pragmatic, cluster randomised controlled trial. Lancet 2015, 385, 947–955. [Google Scholar] [CrossRef]
  108. Rubertsson, S.; Lindgren, E.; Smekal, D.; Ostlund, O.; Silfverstolpe, J.; Lichtveld, R.A.; Boomars, R.; Ahlstedt, B.; Skoog, G.; Kastberg, R.; et al. Mechanical chest compressions and simultaneous defibrillation vs conventional cardiopulmonary resuscitation in out-of-hospital cardiac arrest: The LINC randomized trial. JAMA 2014, 311, 53–61. [Google Scholar] [CrossRef]
  109. Wik, L.; Olsen, J.A.; Persse, D.; Sterz, F.; Lozano, M., Jr.; Brouwer, M.A.; Westfall, M.; Souders, C.M.; Malzer, R.; van Grunsven, P.M.; et al. Manual vs. integrated automatic load-distributing band CPR with equal survival after out of hospital cardiac arrest. The randomized CIRC trial. Resuscitation 2014, 85, 741–748. [Google Scholar] [CrossRef]
  110. Wroe, P.C.; Clattenburg, E.J.; Gardner, K.; Gelber, J.; Schultz, C.; Singh, A.; Nagdev, A. Emergency department use of a mechanical chest compression device frequently causes unanticipated interruptions in cardiopulmonary resuscitation. Resuscitation 2018, 133, e3–e4. [Google Scholar] [CrossRef]
  111. Sheraton, M.; Columbus, J.; Surani, S.; Chopra, R.; Kashyap, R. Effectiveness of Mechanical Chest Compression Devices over Manual Cardiopulmonary Resuscitation: A Systematic Review with Meta-analysis and Trial Sequential Analysis. West. J. Emerg. Med. 2021, 22, 810–819. [Google Scholar] [CrossRef] [PubMed]
  112. Venturini, J.M.; Retzer, E.; Estrada, J.R.; Friant, J.; Beiser, D.; Edelson, D.; Paul, J.; Blair, J.; Nathan, S.; Shah, A.P. Mechanical chest compressions improve rate of return of spontaneous circulation and allow for initiation of percutaneous circulatory support during cardiac arrest in the cardiac catheterization laboratory. Resuscitation 2017, 115, 56–60. [Google Scholar] [CrossRef] [PubMed]
  113. William, P.; Rao, P.; Kanakadandi, U.B.; Asencio, A.; Kern, K.B. Mechanical Cardiopulmonary Resuscitation In and On the Way to the Cardiac Catheterization Laboratory. Circ. J. 2016, 80, 1292–1299. [Google Scholar] [CrossRef] [PubMed]
  114. Belohlavek, J.; Smalcova, J.; Rob, D.; Franek, O.; Smid, O.; Pokorna, M.; Horak, J.; Mrazek, V.; Kovarnik, T.; Zemanek, D.; et al. Effect of Intra-arrest Transport, Extracorporeal Cardiopulmonary Resuscitation, and Immediate Invasive Assessment and Treatment on Functional Neurologic Outcome in Refractory Out-of-Hospital Cardiac Arrest: A Randomized Clinical Trial. JAMA 2022, 327, 737–747. [Google Scholar] [CrossRef] [PubMed]
  115. Suverein, M.M.; Delnoij, T.S.R.; Lorusso, R.; Brandon Bravo Bruinsma, G.J.; Otterspoor, L.; Elzo Kraemer, C.V.; Vlaar, A.P.J.; van der Heijden, J.J.; Scholten, E.; den Uil, C.; et al. Early Extracorporeal CPR for Refractory Out-of-Hospital Cardiac Arrest. N. Engl. J. Med. 2023, 388, 299–309. [Google Scholar] [CrossRef] [PubMed]
  116. Yannopoulos, D.; Bartos, J.; Raveendran, G.; Walser, E.; Connett, J.; Murray, T.A.; Collins, G.; Zhang, L.; Kalra, R.; Kosmopoulos, M.; 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. [Google Scholar] [CrossRef] [PubMed]
  117. Plaisance, P.; Soleil, C.; Lurie, K.G.; Vicaut, E.; Ducros, L.; Payen, D. Use of an inspiratory impedance threshold device on a facemask and endotracheal tube to reduce intrathoracic pressures during the decompression phase of active compression-decompression cardiopulmonary resuscitation. Crit. Care Med. 2005, 33, 990–994. [Google Scholar] [CrossRef] [PubMed]
  118. Aufderheide, T.P.; Nichol, G.; Rea, T.D.; Brown, S.P.; Leroux, B.G.; Pepe, P.E.; Kudenchuk, P.J.; Christenson, J.; Daya, M.R.; Dorian, P.; et al. A trial of an impedance threshold device in out-of-hospital cardiac arrest. N. Engl. J. Med. 2011, 365, 798–806. [Google Scholar] [CrossRef]
  119. Plaisance, P.; Lurie, K.G.; Vicaut, E.; Martin, D.; Gueugniaud, P.Y.; Petit, J.L.; Payen, D. Evaluation of an impedance threshold device in patients receiving active compression-decompression cardiopulmonary resuscitation for out of hospital cardiac arrest. Resuscitation 2004, 61, 265–271. [Google Scholar] [CrossRef]
  120. Ward, K.R.; Sullivan, R.J.; Zelenak, R.R.; Summer, W.R. A comparison of interposed abdominal compression CPR and standard CPR by monitoring end-tidal PCO2. Ann. Emerg. Med. 1989, 18, 831–837. [Google Scholar] [CrossRef]
  121. Babbs, C.F. Interposed abdominal compression CPR: A comprehensive evidence based review. Resuscitation 2003, 59, 71–82. [Google Scholar] [CrossRef] [PubMed]
  122. Babbs, C.F. Simplified meta-analysis of clinical trials in resuscitation. Resuscitation 2003, 57, 245–255. [Google Scholar] [CrossRef] [PubMed]
  123. Sack, J.B.; Kesselbrenner, M.B.; Bregman, D. Survival from in-hospital cardiac arrest with interposed abdominal counterpulsation during cardiopulmonary resuscitation. JAMA 1992, 267, 379–385. [Google Scholar] [CrossRef] [PubMed]
  124. Sack, J.B.; Kesselbrenner, M.B.; Jarrad, A. Interposed abdominal compression-cardiopulmonary resuscitation and resuscitation outcome during asystole and electromechanical dissociation. Circulation 1992, 86, 1692–1700. [Google Scholar] [CrossRef] [PubMed]
  125. Mateer, J.R.; Stueven, H.A.; Thompson, B.M.; Aprahamian, C.; Darin, J.C. Pre-hospital IAC-CPR versus standard CPR: Paramedic resuscitation of cardiac arrests. Am. J. Emerg. Med. 1985, 3, 143–146. [Google Scholar] [CrossRef] [PubMed]
  126. Moore, J.C.; Pepe, P.E.; Scheppke, K.A.; Lick, C.; Duval, S.; Holley, J.; Salverda, B.; Jacobs, M.; Nystrom, P.; Quinn, R.; et al. Head and thorax elevation during cardiopulmonary resuscitation using circulatory adjuncts is associated with improved survival. Resuscitation 2022, 179, 9–17. [Google Scholar] [CrossRef] [PubMed]
  127. Pepe, P.E.; Scheppke, K.A.; Antevy, P.M.; Crowe, R.P.; Millstone, D.; Coyle, C.; Prusansky, C.; Garay, S.; Ellis, R.; Fowler, R.L.; et al. Confirming the Clinical Safety and Feasibility of a Bundled Methodology to Improve Cardiopulmonary Resuscitation Involving a Head-Up/Torso-Up Chest Compression Technique. Crit. Care Med. 2019, 47, 449–455. [Google Scholar] [CrossRef] [PubMed]
  128. Bachista, K.M.; Moore, J.C.; Labarere, J.; Crowe, R.P.; Emanuelson, L.D.; Lick, C.J.; Debaty, G.P.; Holley, J.E.; Quinn, R.P.; Scheppke, K.A.; et al. Survival for Nonshockable Cardiac Arrests Treated With Noninvasive Circulatory Adjuncts and Head/Thorax Elevation. Crit. Care Med. 2024, 52, 170–181. [Google Scholar] [CrossRef]
  129. Kennedy, J.H. The role of assisted circulation in cardiac resuscitation. JAMA 1966, 197, 615–618. [Google Scholar] [CrossRef]
  130. Available online: https://www.elso.org/registry/internationalsummaryandreports/reports.aspx (accessed on 14 May 2024).
  131. Ubben, J.F.H.; Heuts, S.; Delnoij, T.S.R.; Suverein, M.M.; van de Koolwijk, A.F.; van der Horst, I.C.C.; Maessen, J.G.; Bartos, J.; Kavalkova, P.; Rob, D.; et al. Extracorporeal cardiopulmonary resuscitation for refractory OHCA: Lessons from three randomized controlled trials-the trialists’ view. Eur. Heart J. Acute Cardiovasc. Care 2023, 12, 540–547. [Google Scholar] [CrossRef]
  132. Rob, D.; Komarek, A.; Smalcova, J.; Belohlavek, J. Effect of Intraarrest Transport, Extracorporeal Cardiopulmonary Resuscitation, and Invasive Treatment: A Post Hoc Bayesian Reanalysis of a Randomized Clinical Trial. Chest 2023. [Google Scholar] [CrossRef] [PubMed]
  133. Heuts, S.; van de Koolwijk, A.F.; Gabrio, A.; Ubben, J.F.H.; van der Horst, I.C.C.; Delnoij, T.S.R.; Suverein, M.M.; Maessen, J.G.; Lorusso, R.; van de Poll, M.C.G. Extracorporeal life support in cardiac arrest: A post hoc Bayesian re-analysis of the INCEPTION trial. Eur. Heart J. Acute Cardiovasc. Care 2024, 13, 191–200. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Illustration of some of the available tools used for monitoring and augmenting perfusion in cardiopulmonary arrest. Created with BioRender.com, accessed on 23 April 2024. LUCAS 3 device reproduced with permission from Stryker (Portage, MI, USA). EleGARD device as part of the Automated Head/Thorax Up Position CPR system reproduced with permission from AdvancedCPR Solutions (Edina, MN, USA).
Figure 1. Illustration of some of the available tools used for monitoring and augmenting perfusion in cardiopulmonary arrest. Created with BioRender.com, accessed on 23 April 2024. LUCAS 3 device reproduced with permission from Stryker (Portage, MI, USA). EleGARD device as part of the Automated Head/Thorax Up Position CPR system reproduced with permission from AdvancedCPR Solutions (Edina, MN, USA).
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Figure 2. (A,B) Focused transesophageal echocardiography (TEE) images demonstrating a patient with a type A aortic dissection (yellow arrows) complicated by hemopericardium with tamponade (yellow star). (C) The area of maximal compression can be seen at the aortic root (red arrow). Ao, aorta; AV, aortic valve; LV, left ventricle; RV, right ventricle.
Figure 2. (A,B) Focused transesophageal echocardiography (TEE) images demonstrating a patient with a type A aortic dissection (yellow arrows) complicated by hemopericardium with tamponade (yellow star). (C) The area of maximal compression can be seen at the aortic root (red arrow). Ao, aorta; AV, aortic valve; LV, left ventricle; RV, right ventricle.
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Figure 3. Different methods that have been evaluated for the augmentation of standard cardiopulmonary resuscitation. CPR, cardiopulmonary resuscitation. ResQPUMP reproduced with permission from Zoll Medical Corporation (Chelmsford, MA, USA). ResQPod ITD reproduced with permission from Zoll Medical Corporation (Chelmsford, MA, USA). Autopulse device reproduced with permission from Zoll Medical Corporation (Chelmsford, MA, USA). LUCAS 3 device reproduced with permission from Stryker (Portage, MI, USA). Lifeline ARM ACC reproduced with permission from Defibtech, LLC (Guilford, CT, USA). EleGARD device as part of the Automated Head/Thorax Up Position CPR system reproduced with permission from AdvancedCPR Solutions (Edina, MN, USA). Lifestick reproduced with permission from Lurie and Lindner [90].
Figure 3. Different methods that have been evaluated for the augmentation of standard cardiopulmonary resuscitation. CPR, cardiopulmonary resuscitation. ResQPUMP reproduced with permission from Zoll Medical Corporation (Chelmsford, MA, USA). ResQPod ITD reproduced with permission from Zoll Medical Corporation (Chelmsford, MA, USA). Autopulse device reproduced with permission from Zoll Medical Corporation (Chelmsford, MA, USA). LUCAS 3 device reproduced with permission from Stryker (Portage, MI, USA). Lifeline ARM ACC reproduced with permission from Defibtech, LLC (Guilford, CT, USA). EleGARD device as part of the Automated Head/Thorax Up Position CPR system reproduced with permission from AdvancedCPR Solutions (Edina, MN, USA). Lifestick reproduced with permission from Lurie and Lindner [90].
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Bernard, S.; Pashun, R.A.; Varma, B.; Yuriditsky, E. Physiology-Guided Resuscitation: Monitoring and Augmenting Perfusion during Cardiopulmonary Arrest. J. Clin. Med. 2024, 13, 3527. https://doi.org/10.3390/jcm13123527

AMA Style

Bernard S, Pashun RA, Varma B, Yuriditsky E. Physiology-Guided Resuscitation: Monitoring and Augmenting Perfusion during Cardiopulmonary Arrest. Journal of Clinical Medicine. 2024; 13(12):3527. https://doi.org/10.3390/jcm13123527

Chicago/Turabian Style

Bernard, Samuel, Raymond A. Pashun, Bhavya Varma, and Eugene Yuriditsky. 2024. "Physiology-Guided Resuscitation: Monitoring and Augmenting Perfusion during Cardiopulmonary Arrest" Journal of Clinical Medicine 13, no. 12: 3527. https://doi.org/10.3390/jcm13123527

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