Literature DB >> 35887974

Optimal Arterial Blood Gas Tensions for the Prognosis of Favorable Neurological Outcomes in Survivors after Extracorporeal Cardiopulmonary Resuscitation.

SungMin Hong1, Ji Hoon Jang2, Jeong Hoon Yang3,4, Yang Hyun Cho5, Joonghyun Ahn6, Jeong-Am Ryu3,7.   

Abstract

Our aim is to assess the optimal levels of oxygen and carbon dioxide for the prognosis of favorable neurologic outcomes in survivors after extracorporeal cardiopulmonary resuscitation (ECPR). We obtained the mean levels of PaCO2 and PaO2 in arterial blood gas samples 72 h after ECPR. The primary outcome was the neurological status, according to the Cerebral Performance Categories (CPC) scale, upon discharge. Of 119 (48.6%) survivors, 95 (38.8%) had favorable neurologic outcomes (CPC 1 or 2). There was a U-shaped relationship between mean arterial blood gas tensions and poor neurological outcomes. The risk of poor neurological outcome was lowest in patients with the second tertile of mean PaCO2 (30-42 mm Hg) and PaO2 (120-160 mm Hg). In a multivariable analysis, third tertile of mean PaCO2, third tertile of mean PaO2, age, shockable rhythm, out of hospital cardiac arrest, duration of cardiopulmonary resuscitation, and ECPR at cardiac catheterization lab were found to be significantly associated with poor neurologic outcomes. Additionally, hypercapnia and extreme hyperoxia were found to be significantly associated with poor neurological outcomes after ECPR. Therefore, maintaining adequate arterial levels of oxygen and carbon dioxide may be important for favorable neurological prognoses in survivors after ECPR.

Entities:  

Keywords:  arterial blood gas tensions; extracorporeal cardiopulmonary resuscitation; neurological prognosis

Year:  2022        PMID: 35887974      PMCID: PMC9323021          DOI: 10.3390/jcm11144211

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.964


1. Introduction

Neurological prognoses in survivors after successful cardiopulmonary resuscitation (CPR) from cardiac arrest are of the utmost importance [1]. To improve these prognoses, there are several recommendations in the current guidelines for post-cardiac arrest care, including targeted temperature management, control of blood pressure and glucose level, seizure management, oxygenation, and ventilation [2,3]. The guidelines recommend titrating inspired oxygen and ventilation to achieve normal oxygen and carbon dioxide levels after the return of spontaneous circulation [2,3,4,5]. Aberrant oxygen levels may be associated with poor prognosis after cardiac arrest [6,7]. Hyperoxia can exacerbate oxygen free radical formation and cause subsequent reperfusion injury [8]. Hypoxia has also been reported to be associated with hospital mortality in survivors after cardiac arrest [6]. Hypercapnia can provoke cerebral vasodilatation and increased cerebral blood flow (CBF), while hypocapnia can lead to cerebral vasoconstriction and decreased CBF [9]. In survivors of cardiac arrest, neurological recovery is related to rapid improvement of CBF to meet the metabolic needs of the brain [10]. Therefore, it is hypothesized that oxygen and carbon dioxide levels may be closely connected with clinical outcomes in survivors after cardiac arrest. It remains unknown whether the optimal target of arterial blood gas tension after extracorporeal cardiopulmonary resuscitation (ECPR) is similar to that of conventional CPR. In survivors after ECPR, brain recovery may be related to CBF autoregulation, native circulatory restoration, and amount of extracorporeal membrane oxygenation (ECMO) support [1,11]. However, it is not known in detail how the continuous flow of ECMO affects the autoregulation of CBF [11]. To date, no studies have determined the optimal levels of oxygen and carbon dioxide considering the changes in CBF autoregulation by ECMO. Therefore, in the present study, our aim is to assess the optimal levels of oxygen and carbon dioxide for favorable neurologic outcomes after ECPR.

2. Materials and Methods

2.1. Study Design and Variables

The present research comprised a retrospective, single-center, and observational study. In this study, ECPR was defined as successful implantation of veno-arterial ECMO and pump-on with cardiac compression during index procedure in patients with cardiac arrest [1,11]. ECPR was considered with confirmed witness arrest, reversible causes of cardiac arrest, and chest compression of 10 min or more [12]. ECPR was contraindicated with the patients with life expectancy less than 6 months, end-stage malignancies, an unwitnessed arrest, or chest compressions of 1 hour or more, but advanced age alone was not an absolute contraindication [11,12]. ECPR was performed when the indications for ECPR were appropriate, regardless of in-hospital or out-of-hospital cardiac arrest [11]. The CPR duration was defined as the total time from onset to halt of chest compression. Targeted temperature management was designated by an on-site intensivist according to the protocol [13].

2.2. Study Population

Patients were 18 years or older and underwent ECPR during hospitalization between January 2010 and December 2018 in Samsung Medical Center. All consecutive patients who underwent ECPR during the study period were included in the study. Of these patients, those aged below 18 years, those with Glasgow Coma Scale (GCS) > 12 on admission to the intensive care unit, those with an inappropriate indication for ECPR, those who had pre-existing severe neurologic disease or damage before arrest including traumatic brain injury, major stroke, malignant brain tumor or severe dementia, and those with insufficient medical records were excluded from the study (Figure 1). This study was approved by the Institutional Review Board of Samsung Medical Center (approved No. 2019-10-119). The requirement for informed consent was waived by the Institutional Review Board of Samsung Medical Center due to the retrospective nature of the study.
Figure 1

Study flow chart. ECPR, extracorporeal cardiopulmonary resuscitation; CPC, Cerebral Performance Categories scale.

2.3. Data Collection Process

An expert nurse in the ECMO team was responsible for data collection and all data for all patients receiving ECPR were systematically recorded. We obtained the levels of partial pressure of carbon dioxide (PaCO2) and partial pressure of oxygen (PaO2) in arterial blood gas samples 72 h after ECPR. The sampling interval was determined by the treating physician. The mean PaCO2 and PaO2 were calculated using entire blood gas measurements 72 h after ECPR. The primary outcome was neurological status upon discharge, as assessed by the Glasgow-Pittsburgh Cerebral Performance Categories (CPC) scale (range: 1 to 5) [1]. Favorable neurological outcomes were defined as CPC scores 1 and 2, whereas poor neurologic outcomes were defined as CPC scores of 3 to 5. Two independent intensivists (SMH and JAR) assessed the CPC score by thoroughly reviewing the patient’s medical records. If the investigated scales did not match with each other, the intensivists discussed and corrected the scale.

2.4. Statistical Analyses

Continuous variables are presented as means ± standard deviations, and categorical variables are represented as numbers with subsequent percentages. Data comparisons were carried out using Student’s t-test for continuous variables, whereas the Chi-square test was used for categorical variables. We classified the subjects into three groups based on the distribution of the concentration of oxygen and carbon dioxide, using cut-off values between the groups. All possible ranges of oxygen and carbon dioxide were grid-searched to find the cutoffs of both variables. However, since the number of subjects with a low level of carbon dioxide was not sufficient, the cutoff value was fixed at 30 mm Hg, i.e., the generally accepted level [14,15,16,17]. Among all the logistic regression models that included the generated combination of oxygen and carbon dioxide as independent variables, the combination with the largest c-index was selected. For all analyses, multiple logistic regression was performed to correct clinically relevant variables. Eventually, the clinically relevant variables, including mean arterial blood gas tensions, age, first monitored rhythm, type of cardiac arrest, CPR duration, targeted temperature management, and location of ECMO insertion were obtained. All tests were two-sided and p values of less than 0.05 were considered statistically significant. Statistical analyses were performed with R Statistical Software (version 4.2.0; R Foundation for Statistical Computing, Vienna, Austria).

3. Results

3.1. Baseline Characteristics and Clinical Outcomes

In this study, 245 patients were analyzed (Figure 1). The mean age of the patients was 58.8 ± 15.7 years, and 176 patients (71.8%) were men. Hypertension (48.2%) and diabetes mellitus (35.1%) were identified as the most common comorbidities. Forty patients (16.3%) experienced out-of-hospital cardiac arrest. The mean CPR duration was 26.7 ± 20.6 min. The baseline characteristics of the ECPR patients are presented in Table 1. Compared with the favorable neurologic outcome group, the poor neurologic outcome group comprised elderly patients, higher incidence of out-of-hospital cardiac arrest, initial asystole rhythm and renal replacement therapy, lower incidence of ischemic heart disease as a cause of cardiac arrest, ECPR at cardiac catheterization lab, and longer CPR duration.
Table 1

Baseline characteristics of patients.

Favorable Neurological Outcome (n = 95)Poor Neurological Outcome (n = 150)p-Value
Age (years)56.6 ± 15.460.1 ± 15.80.089
Gender, male73 (76.8)103 (68.7)0.215
Comorbidities
 Hypertension45 (47.4)73 (48.7)0.947
 Diabetes mellitus32 (33.7)54 (36.0)0.816
 Previous myocardial infarction22 (23.2)34 (22.7)0.999
 Current smoker21 (22.1)24 (16.0)0.302
 Malignancy13 (13.7)30 (20.0)0.274
 Chronic kidney disease a8 (8.4)26 (17.3)0.076
 Dyslipidemia15 (15.8)17 (11.3)0.416
CPR details
 Type of cardiac arrest 0.033
  Out of hospital cardiac arrest9 (9.5)31 (20.7)
  In-hospital cardiac arrest86 (90.5)119 (79.3)
 First monitored rhythm 0.006
  Asystole6 (6.3)30 (20.0)
  Pulseless electrical activity47 (49.5)74 (49.3)
  Shockable rhythm (VT or VF)42 (44.2)46 (30.7)
 CPR duration (min)16.63 ± 14.4233.13 ± 21.37<0.001
 Cardiac cause of arrest 0.015
  Ischemic 54 (56.8)58 (38.7)
  Non-ischemic17 (17.9)31 (20.7)
Management in the intensive care unit
 Targeted temperature management18 (18.9)30 (20.0)0.970
  Arctic Sun10 (10.5)24 (16.0)
  Cooling pad8 (8.4)6 (4.0)
 Intra-aortic balloon pump10 (10.5)8 (5.3)0.205
 Renal replacement therapy26 (27.4)83 (55.3)<0.001
Location of ECPR <0.001
 Cardiac catheterization lab39 (41.1)24 (16.0)
 Intensive care unit29 (30.5)74 (49.3)
 Emergency department22 (23.2)45 (30.0)
 Others (operation room, general wards, etc.)5 (5.3)7 (4.7)

a Chronic kidney disease is defined as either kidney damage or glomerular filtration rate less than 60 mL/min/1.73 m2 for 3 months or longer. Reported are n (%) for categorical variables and mean ± standard deviation for continuous variables. CPR: cardiopulmonary resuscitation; VT: ventricular tachycardia; VF: ventricular fibrillation; ECPR: extracorporeal cardiopulmonary resuscitation.

Among 245 patients, 119 (48.6%) survived until discharge from the hospital. Of these, 95 (CPC 1 or 2) had favorable neurologic outcomes while 24 (CPC 3 or 4) had poor neurologic outcomes. The entire distribution of CPC scales is shown in Figure 1.

3.2. The Relationship between Mean Arterial Blood Gas Tensions and Neurologic Outcomes

Among the three groups of mean PaCO2 and PaO2, the second tertile groups had the highest number of patients with favorable outcomes (Table 2). There was a U-shaped relationship between the mean arterial blood gas tensions and poor neurological outcomes. The risk of poor neurological outcome was lowest in patients with 30–42 mm Hg of mean PaCO2 or 120–160 mm Hg of mean PaO2 (Figure 2). Considering mean PaCO2 and PaO2 simultaneously, the risk of poor neurological outcomes was lowest in patients with the second tertile of mean PaCO2 and PaO2 (Figure 3). In multivariable analysis, third tertile of mean PaCO2 (adjusted odds ratio [OR]: 12.02, 95% confidence interval [CI]: 1.703–84.760), third tertile of mean PaO2 (adjusted OR: 2.85, 95% CI: 1.043–7.804), age (adjusted OR: 1.05, 95% CI: 1.021–1.076), shockable rhythm (adjusted OR: 0.16, 95% CI: 0.047–0.555), out of hospital cardiac arrest (adjusted OR: 3.13, 95% CI: 1.074–9.133), CPR duration (adjusted OR: 3.57, 95% CI: 2.263–5.616), and ECPR at cardiac catheterization lab (adjusted OR: 0.17, 95% CI: 0.069–0.409) were found to be significantly associated with poor neurologic outcomes (Table 3).
Table 2

Comparison of mean blood gas tension distribution between the favorable neurological outcome group and poor neurological outcome group.

Mean Blood Gas Tension (mm Hg)Favorable Neurological Outcome (n = 95)Poor Neurological Outcome (n = 150)p-Value
PaCO233.19 ± 4.0636.71 ± 14.410.005
 Tertile of mean PaCO2 <0.001
  First tertile (<30)18 (18.9)37 (24.7)
  Second tertile (30–42)75 (78.9)84 (56.0)
  Third tertile (>42)2 (2.1)29 (19.3)
PaO2131.68 ± 30.91148.40 ± 55.190.003
 Tertile of mean PaO2 <0.001
  First tertile (<120)32 (33.7)49 (32.7)
  Second tertile (120–160)52 (54.7)47 (31.3)
  Third tertile (>160)11 (11.6)54 (36.0)

Reported are n (%) for categorical variables and mean ± standard deviation for continuous variables. PaCO2: the mean level of arterial carbon dioxide 72 h after cardiac arrest; PaO2: the mean level of arterial oxygen 72 h after cardiac arrest.

Figure 2

Adjusted odds ratio (OR) of poor neurologic outcomes according to the mean levels of arterial carbon dioxide (PaCO2) and arterial oxygen (PaO2). OR was log−transformed to reduce skewness.

Figure 3

Unadjusted rate of poor neurological outcomes according to the mean levels of arterial carbon dioxide (PaCO2) and arterial oxygen (PaO2). Considering mean PaCO2 and PaO2 simultaneously, the risk of poor neurological outcomes was lowest in patients with the second tertile of mean PaCO2 and PaO2 (the smallest gray square column in the middle).

Table 3

Multivariable analysis of factors associated with poor neurological outcomes.

Adjusted OR (95% CI)p-Value
Tertile of mean PaCO2
 First tertile (<30 mm Hg)1Reference
 Second tertile (30–42 mm Hg)0.51 (0.205–1.283)0.148
 Third tertile (>42 mm Hg)12.02 (1.703–84.760)0.012
Tertile of mean PaO2
 First tertile (<120 mm Hg)1Reference
 Second tertile (120–160 mm Hg)0.50 (0.223–1.107)0.083
 Third tertile (>160 mm Hg)2.85 (1.043–7.804)0.039
Age (years)1.05 (1.021–1.076)<0.001
First monitored rhythm
 Asystole1Reference
 Pulseless electrical activity0.31 (0.092–1.056)0.058
 Shockable rhythm (VT or VF)0.16 (0.047–0.555)0.003
Out of hospital cardiac arrest3.13 (1.074–9.133)0.034
CPR duration a3.57 (2.263–5.616)<0.001
ECMO insertion in cardiac catheterization lab0.17 (0.069–0.409)<0.001

a CPR duration was log−transformed to reduce skewness. OR: odds ratio; CI: confidence interval; PaCO2: mean level of arterial carbon dioxide 72 h after ECPR; PaO2: mean level of arterial oxygen 72 h after ECPR; VT: ventricular tachycardia; VF: ventricular fibrillation; CPR: cardiopulmonary resuscitation; ECMO: extracorporeal membrane oxygenation.

4. Discussion

In the present study, we investigated the optimal levels of oxygen and carbon dioxide for the prognosis of neurologic outcomes after ECPR. The major findings were as follows: First, the risk of poor neurological outcomes was lowest in the second tertile groups: 30–42 mm Hg of mean PaCO2 and 120–160 mm Hg of mean PaO2. Second, in our multivariable analysis, the third tertile of mean PaCO2, the third tertile of mean PaO2, age, shockable rhythm, out-of-hospital cardiac arrest, CPR duration, and ECPR at cardiac catheterization lab were found to be significantly associated with poor neurologic outcomes. Finally, there was a U-shaped relationship between the mean arterial blood gas tensions and poor neurological outcomes, but low to normal levels of PaCO2 or PaO2 demonstrated no independent association with poor neurological outcomes. In contrast, hypercapnia and extreme hyperoxia were found to be independently associated with poor neurological outcomes after ECPR. Aberrant arterial blood gas tensions have been reported to be associated with poor neurological outcomes after cardiac arrest, and the impact probably depends on the extent and duration of exposure [7]. Hypocapnia has been demonstrated to be independently associated with poor clinical outcomes [7,15]. Hypocapnia can lead to vasoconstriction, decreased CBF, and cerebral ischemia in neurocritically ill patients [18]. In addition, hypoxia has been reported to be independently associated with hospital mortality after cardiac arrest [6]. In the present study, we observed a U-shaped relationship between mean arterial blood gas tensions and poor neurological outcomes, but hypocapnia and low to normal levels of PaO2 demonstrated no independent association with poor neurological outcomes after ECPR. The ECPR survivors with simultaneous low levels of PaCO2 and PaO2 had favorable neurological outcomes. They had a low incidence of chronic renal disease and high incidences of in-hospital cardiac arrest and ECPR at the cardiac catheterization lab compared with other patients. Extreme hyperoxia was found to be independently associated with poor neurological outcomes after ECPR in the present study. Survivors after ECPR may experience severe hyperoxia because oxygenated blood can be easily obtained through the oxygenator of ECMO [19]. Hyperoxia leads to the generation of noxious oxygen radicals and cerebral vasoconstriction, and this mechanism has been reported to provoke brain ischemia [18,20,21]. Early hyperoxia can lead to severe vascular failure, refractory circulatory shock, and exacerbating reperfusion injury after ECPR [22,23,24]. In addition, it is possible to obtain fully oxygenated blood through an oxygenator at the right radial arterial line if the survivor’s native cardiac function is severely depressed after ECPR. Therefore, hyperoxia may reflect markedly impaired cardiac function in such patients. It has been proposed that hyperoxia may be associated with poor neurological outcomes in survivors after ECPR [22,23,24]. A few studies have reported that hypercapnia may be associated with a greater likelihood of favorable outcomes [7,25]. However, hypercapnia may lead to cerebral vasodilatation and increased CBF, and might provoke cerebral edema in patients with impaired CBF autoregulation [9]. Another study reported that hypercapnia was common after cardiac arrest and demonstrated an independent association with poor neurological outcomes after resuscitation from cardiac arrest [15]. Therefore, further studies are needed to demonstrate whether hypercapnia during postcardiac arrest care improves the clinical outcome [14]. In our previous study, old age (>65 years) and prolonged CPR duration (>30 min) were related to poor neurologic outcomes after ECPR [1]. There was a significant interaction between age and CPR duration in predicting neurological outcomes after ECPR [1]. Despite initial hypoxic-ischemic injury, the considerable reserve and tolerance of young brains to hypoxic-ischemic injury may lead to favorable neurological outcomes [26]. In addition, age-induced altered cerebral hemodynamics may affect neurologic recovery after cardiac arrest [1]. In the present study, ECMO insertion in cardiac catheterization lab was associated with favorable neurologic outcomes. This may be associated with short ECMO pump-on time. A catheterization lab is the best place for ECPR in a short time; ECMO insertion can be safe and highly effective in this setting [27,28]. In our previous studies, we found that initial arrest rhythm and low-flow time may be associated with neurological outcome after ECPR [1,29]. Notably, shockable rhythm was associated with favorable neurological outcomes after ECPR [1,29]. ECPR patients after in-hospital cardiac arrest may have more favorable outcomes than those after out-of-hospital cardiac arrest [30]. Patients may have more prolonged arrest to ECMO pump-on time after out-of-hospital cardiac arrest compared with after in-hospital cardiac arrest. This study has several limitations. First, it was conducted over a long period. In the meantime, post-cardiac arrest management may have evolved, which may have affected the clinical outcomes during the study period. Second, the effects of continuous ECMO flow on cerebral autoregulation were unclear in this study. Lastly, it is hypothesized that extreme hyperoxia may be obtained in ECPR patients with a markedly impaired heart. Extremely high oxygen levels in the right radial artery may mainly be caused by the flow of ECMO. It is unclear whether the poor clinical outcomes were related to hyperoxia itself or impaired heart function. Although the present study provides valuable insights, prospective large-scale studies are needed to evaluate the optimal levels of oxygen and carbon dioxide for favorable neurologic outcomes after ECPR.

5. Conclusions

In this study, we observed a U-shaped relationship between poor neurological outcomes and mean arterial blood gas tensions in the first 72 h after ECPR. However, hypocapnia, normocapnia, hypoxia, and normoxia demonstrated no relationship with poor neurological outcomes, whereas hypercapnia and extreme hyperoxia were found to be significantly associated with poor neurological outcomes. Therefore, it is proposed that maintaining adequate arterial levels of oxygen and carbon dioxide may be important for favorable prognoses of neurological outcomes in survivors who underwent ECPR.
  29 in total

1.  Hypoxaemic reperfusion ameliorates the histopathological changes in the pig brain after a severe global cerebral ischaemic insult.

Authors:  E E Douzinas; E Patsouris; E M Kypriades; D J Makris; I Andrianakis; P Korkolopoulou; V Boursinos; A Papalois; C Sotiropoulou; P Davaris; C Roussos
Journal:  Intensive Care Med       Date:  2001-05       Impact factor: 17.440

2.  The differential neurologic prognosis of low-flow time according to the initial rhythm in patients who undergo extracorporeal cardiopulmonary resuscitation.

Authors:  Ryoung-Eun Ko; Jeong-Am Ryu; Yang Hyun Cho; Kiick Sung; Kyeongman Jeon; Gee Young Suh; Taek Kyu Park; Joo Myung Lee; Young Bin Song; Joo-Yong Hahn; Jin-Ho Choi; Seung-Hyuk Choi; Hyeon-Cheol Gwon; Keumhee C Carriere; Joonghyun Ahn; Jeong Hoon Yang
Journal:  Resuscitation       Date:  2020-01-23       Impact factor: 5.262

3.  Oxygen and carbon dioxide levels in patients after cardiac arrest.

Authors:  Lorenzo Peluso; Ilaria Belloni; Lorenzo Calabró; Antonio Maria Dell'Anna; Leda Nobile; Jacques Creteur; Jean-Louis Vincent; Fabio Silvio Taccone
Journal:  Resuscitation       Date:  2020-03-10       Impact factor: 5.262

4.  Assessment of outcomes and differences between in- and out-of-hospital cardiac arrest patients treated with cardiopulmonary resuscitation using extracorporeal life support.

Authors:  Eisuke Kagawa; Ichiro Inoue; Takuji Kawagoe; Masaharu Ishihara; Yuji Shimatani; Satoshi Kurisu; Yasuharu Nakama; Kazuoki Dai; Otani Takayuki; Hiroki Ikenaga; Yoshimasa Morimoto; Kentaro Ejiri; Nozomu Oda
Journal:  Resuscitation       Date:  2010-06-02       Impact factor: 5.262

5.  Oximetry-guided reoxygenation improves neurological outcome after experimental cardiac arrest.

Authors:  Irina S Balan; Gary Fiskum; Julie Hazelton; Cynthia Cotto-Cumba; Robert E Rosenthal
Journal:  Stroke       Date:  2006-10-26       Impact factor: 7.914

6.  Optimal Arterial Blood Oxygen Tension in the Early Postresuscitation Phase of Extracorporeal Cardiopulmonary Resuscitation: A 15-Year Retrospective Observational Study.

Authors:  Wei-Tien Chang; Chih-Hung Wang; Chien-Heng Lai; Hsi-Yu Yu; Nai-Kuan Chou; Chih-Hsien Wang; Shu-Chien Huang; Pi-Ru Tsai; Fang-Ju Chou; Min-Shan Tsai; Chien-Hua Huang; Wen-Je Ko; Wen-Jone Chen; Yih-Sharng Chen
Journal:  Crit Care Med       Date:  2019-11       Impact factor: 7.598

7.  Association between hyperoxemia and mortality in patients treated by eCPR after out-of-hospital cardiac arrest.

Authors:  M Halter; R Jouffroy; A Saade; P Philippe; P Carli; B Vivien
Journal:  Am J Emerg Med       Date:  2019-07-08       Impact factor: 2.469

8.  Association between postresuscitation partial pressure of arterial carbon dioxide and neurological outcome in patients with post-cardiac arrest syndrome.

Authors:  Brian W Roberts; J Hope Kilgannon; Michael E Chansky; Neil Mittal; Jonathan Wooden; Stephen Trzeciak
Journal:  Circulation       Date:  2013-04-23       Impact factor: 29.690

Review 9.  New concepts in reactive oxygen species and cardiovascular reperfusion physiology.

Authors:  Lance B Becker
Journal:  Cardiovasc Res       Date:  2004-02-15       Impact factor: 10.787

10.  European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care.

Authors:  Jerry P Nolan; Claudio Sandroni; Bernd W Böttiger; Alain Cariou; Tobias Cronberg; Hans Friberg; Cornelia Genbrugge; Kirstie Haywood; Gisela Lilja; Véronique R M Moulaert; Nikolaos Nikolaou; Theresa Mariero Olasveengen; Markus B Skrifvars; Fabio Taccone; Jasmeet Soar
Journal:  Intensive Care Med       Date:  2021-03-25       Impact factor: 17.440

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.