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Sudden death continues to be a great challenge for all physicians

around the world despite the remarkable advances in modern medicine.

In the United States, more than 350,000 people suffered from sudden

death outside the hospital every year(Gillum 1989). It is estimated that

sudden death occurs almost once in every minute in America, and

becomes the most common cause of death in adults aged 65 years old

and younger(Kuller, Cooper, and Perper 1972). For decades, efforts

have been launched toward primary prevention by searching and

modifying the risk factors associated with sudden death. In recent

years, this work has been extended further for optimizing the

resuscitation of the patients. By strengthening the concept of “chain of

survival”, researchers of both basic and clinical backgrounds have

made great efforts trying to understand the pathophysiology of cardiac

arrest and develop therapies aiming at mitigating the global injuries

resulting from circulatory arrest and cardiopulmonary resuscitation

(CPR).

The “chain of survival” consists of early access, early CPR, early

with the integrity of the emergency medical services system in the

community. For years, efforts have been launched trying to strengthen

the linkage of the “chain of survival”, and have proved important in

improving the resuscitation rate and overall prognosis of the patients.

Unfortunately, the final outcomes of the victims with out-of-hospital

cardiac arrest are still poor. About 50-70% of those who are initially

resuscitated eventually died before they are discharged from the

hospital(Kern 2002). One third of these died of post-resuscitation

cardiac dysfunction, one third died of neurological failure, and the

others died of the systemic inflammatory response syndrome, sepsis,

and multiple organ failure(Schoenenberger, von Planta, and von Planta

1994). Even in the patients who survive to hospital discharge, most

exhibit moderate to severe neurological deficits and need prolonged

nursing care, resulting in tremendous increases of the socioeconomic

burden. In general, only about 1-2% of the patients with out-of-hospital

sudden death are able to return to the society with adequate

neurological and functional recovery. Therefore, delicate goal-directed

post-resuscitation therapy and care are urgently mandated for

mitigating the global ischemia/reperfusion injuries and improving

outcomes in the post-resuscitation phase. Such extension of the “chain

of survival” has recently attracted significant attention, and becomes an

issue of great interest in both researches and clinical practice(Peberdy

and Ornato 2005).

Among all organ systems, heart and brain are of particular

importance since failure of these two organs is responsible for

two-thirds of the resuscitation mortality. For the former,

post-resuscitation myocardial dysfunction has been described in both animal

and human cardiac arrest(Tang et al. 1993; Gazmuri et al. 1996; Kern

et al. 1996; Laurent et al. 2002; Chang et al. 2007).Though it is

basically myocardial stunning due to transient ischemia and is usually

reversible, if the stunning is severe, the hemodynamics can be

significantly compromised in the critical first hours post-resuscitation,

resulting in severe circulatory failure that leads to global

hypoperfusion, multiple organ failure and mortality. As to brain, it is

least tolerable to ischemia. This can largely account for the poor

neurological outcomes usually seen in these patients. In the past

decades, efforts have been devoted trying to investigate the

pathophysiological mechanisms underlying the neurological injury,

based on which potential therapeutic interventions can be developed. A

number of pathogenic mechanisms have been proposed, such as

transient hyperemia in the immediate post-resuscitation period (15-30

min), microcirculatory disturbance thereafter leading to multiple

“no-reflow’ phenomenon (90 min to 12 hours), massive outpouring of

excitotoxic glutamate resulting in activation of NMDA and AMPA

receptors, and opening of calcium channels leading to calcium

overload(Maramattom and Wijdicks 2005). Therapeutic interventions

have also been developed aiming at these pathophysiological targets.

Examples include hypertensive bout of short duration in the

post-resuscitation period for resolving the cerebral “no-reflow

phenomenon”(Leonov et al. 1992; Sterz et al. 1992), nitric oxide

synthase inhibition for prevention of the damaging effects of

hyperemia(Schleien, Kuluz, and Gelman 1998), calcium entry blocker

for decreasing the calcium overload in the ischemic/hypoxic

neurons(Vaagenes et al. 1984), and free radical scavengers for

attenuating the oxidative stress during ischemia/reperfusion

injury(Traystman, Kirsch, and Koehler 1991; Cerchiari et al. 1987).

In current research, we aimed to develop a goal-directed therapy

to resolve the so-called post-cardiac arrest syndrome. Since the major

cause leading to post-resuscitation death was the neurological injury,

we set the neurological recovery as the primary outcome in the

analysis. We used three approaches to achieve our research goal. First,

we used systematic review and meta-analysis to examine the effect of

hyperoxia on post-resuscitation outcomes. Second, we analyzed the

cohort of in-hospital cardiac arrest (IHCA) in an attempt to identify the

optimal range of mean arterial pressure, partial pressure of arterial

oxygen and carbon dioxide, hemoglobin level and blood glucose level

for post-resuscitation patients. Finally, by directly observing the

influence of brain flow changes on the post-resuscitation rat models,

we tried to investigate the underlying mechanisms involved in the

pathogenesis of the neurological injuries and explored the possible

therapeutics.

First, in the systematic review and meta-analysis, we followed the

guidelines of the Preferred Reporting Items for Systematic reviews and

Meta-Analyses(Moher, Liberati, Tetzlaff, and Altman 2009) and the

Meta-analysis of Observational Studies in Epidemiology(Stroup,

Berlin, Morton, and et al. 2000). We searched PubMed and Embase

from the inception through October 2013. We did not set any

restrictions on publication year or language. We used 2 sets of search

terms to represent the primary variable and population of interest. The

search terms for the primary variable included “normox*,”

“hyperox*,” and “oxygen*.” Then, the search results were

cross-checked for the population of interest, using the terms “cardiac arrest”

and “cardiopulmonary resuscitation.” To ensure completeness, we also

reviewed the references of relevant articles. Studies that were eligible

for inclusion (1) compared different levels of partial pressure of arterial

oxygen (PaO2) in adult patients following return of spontaneous

circulation (ROSC); (2) included mortality or neurological status as

outcome; and (3) used an observational study design, either a cohort or

case-control study with an appropriate control group. Studies only

comparing hypoxia with normoxia were excluded. We defined

hyperoxia as a PaO2 higher than 300 mm Hg(Douzinas et al. 2001);

hypoxia, as a PaO2 lower than 60 mm Hg(Abraham et al. 2000); and

normoxia, as a PaO2 between 60 and 300 mm Hg. Odds ratio (OR) was

used as an effect estimate for the data synthesis. Data were combined

and expressed as a Mantel-Haenszel weighted mean of the ORs, with

their associated 95% CIs. Heterogeneity was quantified by the I2

statistics and tested with Cochran Q statistics (p < 0.05)(Higgins et al.

2003a; Ioannidis, Patsopoulos, and Evangelou 2007a). For values of I2

< 50% or p > 0.05, fixed-effects models were chosen; otherwise,

random-effects models were used(DerSimonian and Laird 1986). In

the literature search, 14 studies were identified from 2,982 references.

Meta-analysis indicated that hyperoxia appeared to be correlated with

increased in-hospital mortality (OR, 1.40; 95% Confidence

interval[CI], 1.02–1.93; I2, 69.27%; 8 studies) but not worsened

neurological outcome (OR, 1.62; 95% CI, 0.87–3.02; I2, 55.61%; 2

studies). However, the results were inconsistent in subgroup and

sensitivity analyses.

Second, we performed the retrospective cohort study at National

Taiwan University Hospital (NTUH), which is a tertiary medical center

with 2600 beds, including 220 beds in intensive care units. We

screened patients who suffered IHCA at NTUH between 2006 and

2014. We included patients who met the following criteria: (1) age 18

years or older, (2) documented absence of pulse with performance of

chest compression for at least 2 min, (3) no documentation of a

do-not-resuscitate order, and (4) achievement of sustained return of

spontaneous circulation (ROSC) (i.e., ROSC ≥ 20 min without

resumption of chest compression). If multiple cardiac arrest events

occurred in a single patient, only the first event of the same

hospitalization was recorded. We excluded patients without any

measurement of variables of interest within the first 24 h after

sustained ROSC, such as mean arterial pressure, partial pressure of

arterial oxygen or carbon dioxide, hemoglobin level or blood glucose

level. We also excluded patients who suffered a cardiac arrest related to

major trauma. We recorded the following information for each patient:

age, gender, comorbidities, variables derived from the Utstein template

(Jacobs et al. 2004), critical interventions implemented at the time of

cardiac arrest or after sustained ROSC, and the first, maximum and

minimum values of mean arterial pressure (MAP), partial pressure of

arterial oxygen (PaO2)or carbon dioxide(PaCO2), hemoglobin (Hb)

level and blood glucose (BG) level measured during the first 24 h after

sustained ROSC. The primary outcome was favourable neurological

outcome at hospital discharge, and the secondary outcome was survival

to hospital discharge. Favourable neurological outcome was defined as

a score of 1 or 2 on the Cerebral Performance Category (CPC) scale

(Becker et al. 2011). The CPC scale (Becker et al. 2011) is a validated

5-point scale of neurological disability (1, good cerebral performance;

2, moderate cerebral disability; 3, severe cerebral disability; 4,

coma/vegetative state; 5, death). Patients with a CPC score of 1 or 2

had sufficient cerebral function to live independently. We selected the

OR as the outcome measure and we performed multivariable logistic

regression analyses to examine the associations between independent

variables and outcomes. We considered all available independent

variables in the regression model, regardless of whether they were

significant by univariate analysis. We applied the stepwise variable

selection procedure (with iterations between the forward and backward

steps) to obtain the final regression model. Significance levels for entry

and to stay were set at 0.15 to avoid exclusion of potential candidate

variables. We calculated the final regression model by excluding

individual variables with a p-value greater than 0.05 until all regression

coefficients were statistically significant. We used generalized additive

models (Hastie TJ and Tibshirani RJ 1990) to examine the nonlinear

effects of continuous variables and, if necessary, to identify the

appropriate cut-off point(s) for dichotomizing a continuous variable

during the variable selection procedure.

The results were as follows: (1) MAP above 85 mm Hg was found

to correlate with a favorable neurological outcome (OR 4.12, 95% CI

1.47-14.39, p = 0.01). For patients without arterial hypertension, the optimal MAP was between 85 and 115 mm Hg (OR 8.80, 95% CI

3.13–28.55, p < 0.001); for patients with arterial hypertension, the threshold MAP for achieving a favorable neurological outcome was

above 88 mmHg (OR 4.04, 95% CI 1.41–13.03, p = 0.01). (2) PaO2

between 70 and 240 mmHg (OR 1.96, 95% CI 1.08–3.64) and PaCO2

levels (OR 0.98, 95% CI 0.95–0.99) were positively and inversely

associated with favorable neurological outcome, respectively. (3) The

product of Hb level × peripheral hemoglobin oxygen saturation (SpO2)

was correlated with a favorable neurological outcome (OR 1.003, 95%

CI 1.002-1.004). According to recommended SpO2 by resuscitation

guidelines [94% to 98%], we calculated the corresponding range of

minimum required Hb level to be 8.6 to 9.0 g/dL for a favorable

neurological outcome. (4) For diabetic patients, a mean BG level

between 183 and 307 mg/dL (10.2-17.1 mmol/L) was significantly

associated with favourable neurological outcome (OR: 2.71, 95% CI:

1.18-6.20; p-value = 0.02); a mean BG level between 147 and 317

mg/dL (8.2-17.6 mmol/L) was significantly associated with survival to

hospital discharge (OR: 2.38, 95% CI: 1.26-4.53; p-value = 0.008). For

non-diabetic patients, a mean BG level between 143 and 268 mg/dL

(7.9-14.9 mmol/L) was significantly associated with survival to

hospital discharge (OR: 2.93, 95% CI: 1.62-5.40; p-value < 0.001).

Finally, we used a rat model of asphyxia-induced cardiac arrest to

examine the effect of cerebral blood flow changes on post-resuscitation

outcomes. Male Wistar rats (450 to 550 g) were used for the

experiments. Animals were anesthetized with intra-peritoneal

pentobarbital (45 mg/ Kg). The trachea was intubated with a PE 200

catheter (Angiocath, Becton Dickinson). Mechanical ventilation

(Flexivent EC-VF-2, Scireq Scientific Respiratory Equipment Inc) was

initiated with a tidal volume of 2 ml, a respiratory rate of 100 breaths

per min and FiO2 of 21%. Arterial blood pressure was measured with

saline-filled PE-50 tube inserted through the left femoral artery. A

saline-filled PE-50 tube was inserted into the right jugular vein for

fluid and drug administration. Blood pressure and needle-probe ECG

monitoring data were recorded with the use of a PC-based data

acquisition system (Biobench, National Instruments, Inc). After

surgical preparation, animals were observed on the ventilator for 50

min. Cardiac arrest was induced by asphyxia (turning-off of the

ventilator with obstruction of the endotracheal tube in situ with clay).

Bradycardia and hypotension usually developed soon after asphyxia,

which soon progressed to asystole with complete loss of arterial

pressure about 3 to 4 min after asphyxia. After a total of 8 min of

asphyxia, ventilator was turned on, epinephrine (0.005 mg/100g) was

administrated via the central venous line, and chest compressions

instituted promptly by index and middle fingers at a rate 200-300 beats

per min. Chest compressions were adjusted to provide a uniform rate

seen on monitors and a target aortic diastolic pressure of > 20 mm Hg.

ROSC could usually be achieved within 1 min after start of CPR. If

ROSC could not be reached within 6 min, the animal was excluded

from the study. After 4 h of invasive monitoring, the endotracheal tube

and catheters were removed, and surgical wounds closed. The animals

achieving ROSC were monitored up to 24 hours for survival and

neurological assessment. In the experimental group, norepinephrine

was administered for one hour after ROSC to titrate the mean arterial

pressure in order to maintain the OxyFlo-measured local cerebral

perfusion close to the prearrest level. The result demonstrated that

there were no significant differences in 24-hour survival and

neurological outcomes between the control and the experimental

groups despite that the mean arterial pressure and cerebral perfusion

were significantly higher in the experimental group during the

norepinephrine infusion period.