INTRODUCTION
Extracorporeal cardiopulmonary resuscitation (ECPR) is increasingly being used to treat patients with refractory out-of-hospital cardiac arrest (OHCA).1–3 Appropriate post-resuscitation management is crucial to improve patient outcomes after ECPR.4
Arterial partial pressure of carbon dioxide (PaCO2) modulates cerebral blood flow (CBF). Clinically, hypercapnia increases CBF and intracerebral pressure, while hypocapnia leads to cerebral ischemia by decreasing CBF.5,6 Therefore, managing PaCO2 during post-cardiac arrest management may affect neurological outcomes. Guidelines recommend maintaining normal PaCO2 (35–45 mmHg) when managing patients who achieve a return of spontaneous circulation (ROSC) after cardiac arrest.4 Notably, the results of large observational studies on hypocapnia and hypercapnia are inconsistent; some studies indicate that hypocapnia and hypercapnia are harmful, whereas others report that mild hypercapnia leads to better outcomes.7–9 In a randomized controlled trial that compared targeted mild hypercapnia with targeted normocapnia in patients in a comatose state resuscitated after OHCA, targeted mild hypercapnia did not improve neurological outcomes.10 Thus, the most favorable PaCO2 target during post-cardiac arrest management remains unknown.
In patients undergoing ECPR, gas exchange can occur independently of the ventilator circuit, with rapid changes in blood gas levels.11,12 Their metabolic demands differ from those of patients resuscitated with conventional cardiopulmonary resuscitation (CPR) because of artificial oxygenation using extracorporeal membrane oxygenation and associated intensive treatments.13 Considering these differences, optimal CO2 levels for patients after ECPR may differ from those for patients after conventional CPR. However, few studies have focused on the optimal PaCO2 value in patients after ECPR for OHCA. Thus, in this study, we aimed to investigate the association between post-resuscitation PaCO2 values and neurological outcomes in patients who received ECPR for OHCA.
MATERIALS AND METHODS
Study design and ethical considerations
This observational study used data from the Study of Advanced Life Support for Ventricular Fibrillation with Extracorporeal Circulation in Japan (SAVE-J II). This study was conducted in accordance with the 1975 Declaration of Helsinki (as revised in Fortaleza, Brazil, October 2013). The Metropolitan Bokutoh Hospital Institutional Ethics Committee approved the study (approval number 04-124; March 20, 2023) and waived the requirement for informed consent because the data were anonymized before analysis.
Data source
The SAVE-J II was pre-registered with the University Hospital Medical Information Network Clinical Trials Registry and the Japanese Clinical Trial Registry (registration number: UMIN000036490). We collected the data of consecutive patients with OHCA aged ≥18 years admitted to the emergency department between January 1, 2013, and December 31, 2018, and received ECPR from 36 participating institutions in Japan.14 The data collected included patient characteristics, prehospital care information, information on hospital arrival, diagnosis and intervention in the hospital, drugs and devices used, intensive care unit (ICU) information, and patient outcomes. Activities of daily living before cardiac arrest were assessed using performance status criteria15: Category 0 (symptomatic), Category 1 (symptomatic but completely ambulatory), Category 2 (symptomatic, <50% in bed during the day), Category 3 (symptomatic, >50% in bed, but not bedbound), and Category 4 (bedbound). Neurological outcomes 30 days after the arrest were reported using the cerebral performance category (CPC) scale16: Category 1 (good cerebral performance), Category 2 (moderate cerebral disability), Category 3 (severe cerebral disability), Category 4 (coma or vegetative state), and Category 5 (death).
Study population
Using the SAVE-J II database, we identified patients who underwent venoarterial extracorporeal membrane oxygenation (VA-ECMO) before ICU admission. We excluded patients who experienced OHCA of non-cardiac etiology (acute aortic dissection/aortic aneurysm, hypothermia, primary cerebral disorder, infection, drug intoxication, trauma, suffocation, and drowning), achieved ROSC either at the time of hospital arrival or at the time of ECMO initiation, were transferred from different medical facilities, and died before ICU admission. In addition, patients with missing PaCO2 or CPC scale values 30 days after cardiac arrest were excluded.
Exposure
The study exposure was PaCO2 management, assessed using PaCO2 values at ICU admission and on the following day. We defined PaCO2 values of <35, 35–45, and ≥46 mmHg as hypocapnia, normocapnia, and hypercapnia, respectively.4 Good PaCO2 management was defined as normocapnia, whereas poor PaCO2 management was defined as hypocapnia or hypercapnia. We classified patients into four groups based on their PaCO2 management status on ICU admission and the following day: poor–poor (PP; poor management on both days), poor–good (PG; poor management on ICU admission and good management on the following day), good–poor (GP; good management on ICU admission and poor management on the following day), and good–good (GG; good management on both days).
Outcomes and covariates
The primary outcome was a favorable neurological outcome, defined as CPC of 1–2 at 30 days after cardiac arrest. The secondary outcome was survival 30 days after cardiac arrest.
We selected covariates based on scientific knowledge1–3,7–9,17 and clinical plausibility. The selected covariates were age, sex, activities of daily living and comorbidities (cardiac and chronic kidney diseases) before the arrest, location of the arrest (public space, private residence, road, and other), witness status, bystander CPR, first documented cardiac rhythm (ventricular fibrillation/ventricular tachycardia, pulseless electrical activity, and asystole), prehospital ROSC, and time from the emergency call to hospital arrival. We categorized patient ages into 20-year intervals: 18–39, 40–59, 60–79, and 80–99 years.18,19 Activities of daily living before cardiac arrest assessed using performance status criteria were categorized as 0, 1, and ≥2. The time from the emergency call to hospital arrival was arbitrarily categorized into 20-min intervals: 0–19, 20–39, and ≥40 min.
Statistical analyses
Continuous variables are presented as either median with interquartile range (IQR) or mean with standard deviation (SD) and were compared using the Kruskal–Wallis test or paired t-test, as appropriate. Categorical variables are presented as numbers (percentages) and were compared using the chi-squared test. We performed multivariable logistic regression analysis with predetermined covariates and calculated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine the association between PaCO2 management and outcomes. In addition, we evaluated the association between PaCO2 change (difference between PaCO2 values at ICU admission and ICU day 2) and outcomes in the GP group using a generalized additive model.
Sensitivity analysis
We performed different types of sensitivity analyses to assess the robustness of the results. First, we performed the same analysis but excluded patients who had fatal outcomes within 3 days after the arrest because the death may have been inevitable regardless of PaCO2 management. Second, we performed the same analysis using a narrower definition of normocapnia, defined as a PaCO2 value of 35–40 mmHg. Third, we analyzed the data with a wider definition of normocapnia, defined as a PaCO2 value of 30–50 mmHg.
All statistical analyses were performed using the R software (version, 4.2.1; R Foundation for Statistical Computing, Vienna, Austria). All statistical tests were two-sided. Statistical significance was defined as a p-value <0.05 or assessed with the 95% CI.
RESULTS
A total of 1646 patients admitted to the ICU after receiving ECPR for OHCA of cardiac origin were registered in the SAVE-J II. After excluding 749 patients with missing PaCO2 values and 12 patients with missing 30-day CPC scale values, 885 patients were eligible for analysis (Figure 1). Their median age was 60 (IQR: 48–67) years, and 754 (85.2%) patients were males. Targeted temperature management (TTM) was performed in 776 (87.7%) patients. At 30 days after the cardiac arrest, 352 (39.8%) patients survived and 176 (19.9%) had favorable neurological outcomes. The mean (SD) PaCO2 levels at hospital arrival, ICU admission, and ICU day 2 were 68.2 (30.4), 34.8 (12.6), and 35.2 (8.1) mmHg, respectively (Figure 2). The PaCO2 values between the time of hospital arrival and ICU admission differed significantly (p < 0.001), while no significant difference was observed between the values at ICU admission and ICU day 2 (p = 0.353).
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Figure 3 shows the distribution of PaCO2 values at ICU admission and on the following day. At ICU admission, 499 (56.4%) patients had hypocapnia, 293 (33.1%) had normocapnia, and 93 (10.5%) had hypercapnia, with mean (SD) PaCO2 values of 27.7 (5.4), 39.6 (3.1), and 58.0 (21.3) mmHg, respectively. On the following day, 441 (49.8%) patients had hypocapnia, 369 (41.7%) had normocapnia, and 75 (8.5%) had hypercapnia, with mean (SD) PaCO2 values of 29.1 (4.5), 39.3 (3.0), and 51.2 (6.4) mmHg, respectively. No significant association was observed between hypo- or hypercapnia on either day and favorable neurological outcomes or survival 30 days after the cardiac arrest (Tables S1 and S2).
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Patients were classified into the PP (n = 361, 40.8%), PG (n = 231, 26.1%), GP (n = 155, 17.5%), and GG (n = 138, 15.6%) groups (Figure 4). Table 1 presents the baseline patient characteristics. There were no significant differences among the groups.
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TABLE 1 Baseline characteristics of the study population.
Variable | Overall (n = 885) | PaCO2 managementa | p-Value | |||
Poor–poor (n = 361) | Poor–good (n = 231) | Good–poor (n = 155) | Good–good (n = 138) | |||
Age, years, median (IQR) | 60 (48, 67) | 60 (46, 68) | 58 (48, 66) | 61 (52, 67) | 60 (50, 67) | 0.158 |
Age, years, n (%) | ||||||
18–39 | 89 (10.1) | 47 (13.0) | 23 (10.0) | 12 (7.7) | 7 (5.1) | 0.265 |
40–59 | 349 (39.4) | 132 (36.6) | 99 (42.9) | 59 (38.1) | 59 (42.8) | |
60–79 | 429 (48.5) | 173 (47.9) | 106 (45.9) | 81 (52.3) | 69 (50.0) | |
80–93 | 18 (2.0) | 9 (2.5) | 3 (1.3) | 3 (1.9) | 3 (2.2) | |
Male sex, n (%) | 754 (85.2) | 297 (82.3) | 202 (87.4) | 134 (86.5) | 121 (87.7) | 0.236 |
Comorbidities, n (%) | ||||||
Hypertension | 289 (32.7) | 124 (34.3) | 67 (29.0) | 46 (29.7) | 52 (37.7) | 0.253 |
Diabetes mellitus | 197 (22.3) | 93 (25.8) | 44 (19.0) | 30 (19.4) | 30 (21.7) | 0.194 |
Dyslipidemia | 125 (14.1) | 52 (14.4) | 23 (10.0) | 23 (14.8) | 27 (19.6) | 0.080 |
Heart disease | 225 (25.4) | 90 (24.9) | 60 (26.0) | 45 (29.0) | 30 (21.7) | 0.545 |
Cerebrovascular disease | 59 (6.7) | 28 (7.8) | 13 (5.6) | 11 (7.1) | 7 (5.1) | 0.637 |
Chronic kidney disease | 49 (5.5) | 21 (5.8) | 15 (6.5) | 8 (5.2) | 5 (3.6) | 0.690 |
Dementia | 3 (0.3) | 2 (0.6) | 0 (0.0) | 1 (0.6) | 0 (0.0) | 0.536 |
Performance status, n (%) | ||||||
0 | 791 (90.8) | 319 (89.4) | 210 (92.1) | 137 (91.9) | 125 (91.2) | 0.593 |
1 | 70 (8.0) | 32 (9.0) | 18 (7.9) | 10 (6.7) | 10 (7.3) | |
≥2 | 10 (1.1) | 6 (1.7) | 0 (0.0) | 2 (1.3) | 2 (1.5) | |
Location of cardiac arrest, n (%) | ||||||
Public space | 156 (17.7) | 63 (17.5) | 42 (18.2) | 23 (14.8) | 28 (20.6) | 0.472 |
Residence | 329 (37.3) | 145 (40.3) | 86 (37.2) | 59 (38.1) | 39 (28.7) | |
Road | 137 (15.5) | 49 (13.6) | 33 (14.3) | 29 (18.7) | 26 (19.1) | |
Others | 260 (29.5) | 103 (28.6) | 70 (30.3) | 44 (28.4) | 43 (31.6) | |
Initial cardiac rhythm, n (%) | ||||||
Asystole | 50 (5.7) | 19 (5.3) | 10 (4.4) | 11 (7.2) | 10 (7.2) | 0.802 |
Pulseless electrical activity | 188 (21.4) | 79 (22.1) | 50 (21.8) | 28 (18.3) | 31 (22.5) | |
Ventricular fibrillation/ventricular tachycardia | 640 (72.9) | 260 (72.6) | 169 (73.8) | 114 (74.5) | 97 (70.3) | |
Witness, n (%) | 724 (82.2) | 293 (81.6) | 196 (85.2) | 123 (79.4) | 112 (81.8) | 0.496 |
Bystander CPR, n (%) | 539 (61.6) | 217 (60.8) | 141 (62.1) | 93 (60.4) | 88 (64.2) | 0.891 |
ROSC before hospital arrival, n (%) | 94 (10.8) | 40 (11.2) | 22 (9.6) | 20 (13.3) | 12 (9.1) | 0.616 |
Emergency call to hospital arrival, min, median (IQR) | 31 (25, 38) | 31 (25, 38) | 30 (25, 37) | 30 (24, 39) | 31 (26, 38) | 0.348 |
Outcome analysis
Table 2 shows the study outcomes of the PP, PG, GP, and GG groups. The GP group had the highest proportion of 30-day favorable neurological outcomes, followed by the GG group (PP group, 19.9%; PG group, 17.7%; GP group, 21.9%; GG group, 21.0%; p = 0.757). After adjusting for confounding factors, no significant association was observed between the PaCO2 management groups and 30-day favorable neurological outcomes. Relative to the PP group, the PG, GP, and GG groups had adjusted ORs of 0.87 (95% CI, 0.52–1.44), 1.17 (95% CI, 0.65–2.05), and 0.95 (95% CI, 0.51–1.73), respectively. No significant difference was observed in the proportion of 30-day survival among the four groups (PP, 38.5%; PG, 39.4%; GP, 38.7%; and GG, 44.9%; p = 0.602). Relative to the PP group, the PG, GP, and GG groups had adjusted ORs of 1.01 (95% CI, 0.67–1.52), 0.92 (95% CI, 0.56–1.48), and 1.28 (95% CI, 0.78–2.09), respectively. In the GP group, no significant association existed between the change in PaCO2 from ICU admission to ICU day 2 and the proportion of 30-day favorable neurological outcomes (p = 0.500) or survival (p = 0.185, Figure S1).
TABLE 2 Thirty-day favorable neurological outcomes and survival according to PaCO2 management.
PaCO2 management | ||||
Poor–poor | Poor–good | Good–poor | Good–good | |
30-day favorable neurological outcomes | ||||
n (%) | 72 (19.9) | 41 (17.7) | 34 (21.9) | 29 (21.0) |
Crude odds ratio (95% CI) | Reference | 0.87 (0.56–1.32) | 1.13 (0.71–1.78) | 1.07 (0.65–1.72) |
Adjusted odds ratio (95% CI) | ||||
Main analysisa | Reference | 0.87 (0.52–1.44) | 1.17 (0.65–2.05) | 0.95 (0.51–1.73) |
Sensitivity analysis 1b | Reference | 1.08 (0.54–2.22) | 1.02 (0.42–2.43) | 1.18 (0.63–2.31) |
Sensitivity analysis 2c | Reference | 0.79 (0.45–1.36) | 1.03 (0.56–1.82) | 1.01 (0.38–2.41) |
Sensitivity analysis 3d | Reference | 1.07 (0.56–2.13) | 0.88 (0.38–2.02) | 1.17 (0.64–2.23) |
30-day survival | ||||
n (%) | 139 (38.5) | 91 (39.4) | 60 (38.7) | 62 (44.9) |
Crude odds ratio (95% CI) | Reference | 1.04 (0.74–1.46) | 1.01 (0.68–1.48) | 1.30 (0.87–1.94) |
Adjusted odds ratio (95% CI) | ||||
Main analysisa | Reference | 1.01 (0.67–1.52) | 0.92 (0.56–1.48) | 1.28 (0.78–2.09) |
Sensitivity analysis 1b | Reference | 1.33 (0.72–2.46) | 1.17 (0.55–2.49) | 1.04 (0.59–1.83) |
Sensitivity analysis 2c | Reference | 1.11 (0.72–1.71) | 0.90 (0.55–1.46) | 1.34 (0.62–2.83) |
Sensitivity analysis 3d | Reference | 1.29 (0.76–2.22) | 0.99 (0.51–1.90) | 1.08 (0.66–1.80) |
Sensitivity analysis
After excluding 223 patients who had fatal outcomes within 3 days after the arrest, 662 patients (PP, n = 91; PG, n = 173; GP, n = 85; and GG, n = 313) were analyzed. The multivariable logistic regression analysis results were consistent with those of the main analysis; no significant association existed between the PaCO2 management category and favorable neurological outcomes (adjusted ORs: PP, reference; PG, 1.08 [95% CI, 0.54–2.22]; GP, 1.02 [95% CI, 0.42–2.43]; and GG, 1.18 [95% CI, 0.63–2.31]) or survival 30 days after the cardiac arrest (adjusted ORs: PP, reference; PG, 1.33 [95% CI, 0.72–2.46]; GP, 1.17 [95% CI, 0.55–2.49]; and GG, 1.04 [95% CI, 0.59–1.83]). The sensitivity analyses using narrower or wider definitions of normocapnia had similar results with the primary analysis (Table 2).
DISCUSSION
In this study, we evaluated 885 patients after ECPR for OHCA and found no significant association between PaCO2 levels and outcomes. The sensitivity analysis results were consistent with those of the primary analysis, indicating the robustness of the results.
In contrast to a previous study that evaluated patients resuscitated by conventional CPR,17 this study found lower occurrence of hypercapnia (10.5% vs. 34.5%) and higher occurrence of hypocapnia (56.4% vs. 23.6%). Hypocapnia was far more frequent than hypercapnia, with about 50% of the patients experiencing hypocapnia on the following day of admission. These results can be attributed to several factors. First, blood gas levels can change rapidly and significantly when ECMO is initiated.20 The excessive sweep gas flow rate set at the beginning of ECMO implementation may have caused the frequent occurrence of hypocapnia after ECPR. Second, patients receiving mechanical ventilation after resuscitation are prone to hypocapnia during TTM.21 Notably, 87.7% of patients underwent TTM in this study, and this may have contributed to the frequency of hypocapnia. Third, maintaining normocapnia might be more difficult in patients who often have cerebral autoregulation disturbances due to hypoxic ischemic encephalopathy and post-cardiac arrest syndrome after ECPR.
The main finding of this study was the nonsignificant association between PaCO2 levels and outcomes after ECPR for OHCA. Our results are consistent with those of some previous studies that evaluated a similar issue in patients resuscitated after conventional CPR,10,15 although other studies have shown conflicting results.7–9 Candidates for ECPR are patients with refractory cardiac arrest; thus, their outcomes are usually worse than those of patients who are successfully resuscitated from cardiac arrest with conventional CPR. Considering that the benefits of managing PaCO2 are less apparent in severely injured patients, our results might be theoretically plausible.
In this study, normocapnia was defined according to international guidelines.4 However, whether this range reflects the physiologically optimal threshold remains unclear, as experimental studies have shown a 2%–4% reduction in CBF for each mmHg decrease in PaCO2 within the 25–55 mmHg range.22 To this end, previous studies have used various definitions for normocapnia, ranging from 30 to 50 mmHg.23 To address this, we conducted sensitivity analyses using different definitions of normocapnia. The results were consistent, suggesting the robustness of our findings across varying definitions of normocapnia.
This study had some limitations. First, it was a retrospective study. We adjusted for many potential confounders; however, unmeasured confounders may have biased the results. In more severe cases with poorer outcomes, intensivists may pursue stricter PaCO2 management. Since severity affects both PaCO2 management and outcomes, inadequate adjustment of such confounder may underestimate the benefits of proper PaCO2 management, biasing results toward the null. Second, we excluded patients with missing PaCO2 values or 30-day outcome data from the analysis. Missing data may be associated with particular intensive care practices, illness severity, and actual outcomes; therefore, this exclusion could have led to either an overestimation or underestimation of the relationship between PaCO2 management and outcomes. In addition, excluding this subset may have reduced the generalizability of our findings. Third, some detailed information that could have enriched our understanding of the results, such as data on ventilator or ECMO settings (for example, blood and sweep gas flow rates) was unavailable in the dataset. Fourth, the small sample size may have weakened our analysis. Future studies with larger sample sizes are required to determine any clinically significant differences in outcomes based on target PaCO2 values. Lastly, we classified patients based on PaCO2 values from only two-time points. Since arterial blood gas is frequently evaluated to optimize PaCO2 levels in the first several days after ECPR, our classification may not fully capture the relationship between PaCO2 management and patient outcomes after ECPR.
CONCLUSIONS
This multicenter cohort study revealed no significant associations between PaCO2 values and 30-day neurological outcomes or survival of patients with OHCA after ECPR. Prospective studies are required to optimize post-resuscitation care after ECPR. Given the variability in patient conditions and responses to ECPR, an individualized approach based on continuous monitoring and assessment of the patient's physiological status is crucial.
ACKNOWLEDGMENTS
We thank all the members of the SAVE-J II study group: Hirotaka Sawano, M.D., Ph.D. (Osaka Saiseikai Senri Hospital); Yuko Egawa, M.D. and Shunichi Kato, M.D. (Saitama Red Cross Hospital); Kazuhiro Sugiyama, M.D. and Maki Tanabe, M.D. (Tokyo Metropolitan Bokutoh Hospital); Naofumi Bunya, M.D. and Takehiko Kasai, M.D. (Sapporo Medical University); Shinichi Ijuin, M.D. and Shinichi Nakayama, M.D., Ph.D. (Hyogo Emergency Medical Center); Jun Kanda, M.D., Ph.D. and Seiya Kanou, M.D. (Teikyo University Hospital); Toru Takiguchi, M.D. and Shoji Yokobori, M.D., Ph.D. (Nippon Medical School); Hiroaki Takada, M.D. and Kazushige Inoue, M.D. (National Hospital Organization Disaster Medical Center); Ichiro Takeuchi, M.D., Ph.D. and Hiroshi Honzawa, M.D. (Yokohama City University Medical Center); Makoto Kobayashi, M.D., Ph.D. and Tomohiro Hamagami, M.D. (Toyooka Public Hospital); Wataru Takayama, M.D. and Yasuhiro Otomo, M.D., Ph.D. (Tokyo Medical and Dental University Hospital of Medicine); Kunihiko Maekawa, M.D. (Hokkaido University Hospital); Takafumi Shimizu, M.D. and Satoshi Nara, M.D. (Teine Keijinkai Hospital); Michitaka Nasu, M.D. and Kuniko Takahashi, M.D. (Urasoe General Hospital); Yoshihiro Hagiwara, M.D., M.P.H. (Imperial Foundation Saiseikai, Utsunomiya Hospital); Shigeki Kushimoto, M.D., Ph.D. (Tohoku University Graduate School of Medicine); Reo Fukuda, M.D. (Nippon Medical School Tama Nagayama Hospital); Takayuki Ogura, M.D., Ph.D. (Japan Red Cross Maebashi Hospital); Shin-ichiro Shiraishi, M.D. (Aizu Central Hospital); Ryosuke Zushi, M.D. (Osaka Mishima Emergency Critical Care Center); Norio Otani, M.D. and Hiroshi Okamoto, M.D., M.P.H. (St. Luke's International Hospital); Migaku Kikuchi, M.D., Ph.D. (Dokkyo Medical University); Kazuhiro Watanabe, M.D. (Nihon University Hospital); Takuo Nakagami, M.D. (Omihachiman Community Medical Center); Tomohisa Shoko, M.D., Ph.D. (Tokyo Women's Medical University Medical Center East); Nobuya Kitamura, M.D., Ph.D. (Kimitsu Chuo Hospital); Takayuki Otani, M.D. (Hiroshima City Hiroshima Citizens Hospital); Yoshinori Matsuoka, M.D., Ph.D. (Kobe City Medical Center General Hospital); Makoto Aoki, M.D., Ph.D. (Gunma University Graduate School of Medicine); Masaaki Sakuraya, M.D., M.P.H. (JA Hiroshima General Hospital Hiroshima); Hideki Arimoto, M.D. (Osaka City General Hospital); Koichiro Homma, M.D., Ph.D. (Keio University School of Medicine); Hiromichi Naito, M.D., Ph.D. (Okayama University Hospital); Shunichiro Nakao, M.D., Ph.D. (Osaka University Graduate School of Medicine); Tomoya Okazaki, M.D., Ph.D., Jun Kunikata, M.D., Ph.D., and Hideto Yokoi, M.D., Ph.D. (Kagawa University Hospital); and Yoshio Tahara, M.D., Ph.D. (National Cerebral and Cardiovascular Center).
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
DATA AVAILABILITY STATEMENT
Data will be shared upon request to the author with permission from the SAVE-J II study group.
ETHICS STATEMENT
Approval of the research protocol: The study protocol was approved by the Institutional Ethics Committee of Metroporitan Bokuto Hospital (approval number 04-124; March 20, 2023).
Informed consent: The requirement for informed consent was waived as the data were anonymized before analysis.
Registry and the registration no. of the study/trial: The Study of Advanced Life Support for Ventricular Fibrillation with Extracorporeal Circulation in Japan was registered with the University Hospital Medical Information and Network Clinical Trials Registry and the Japanese Clinical Trial Registry (registration number: UMIN000036490)
Animal studies: This study did not involve any animal subjects.
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Abstract
Aim
The optimal arterial partial pressure of carbon dioxide (PaCO2) for patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR) remains unknown. We aimed to investigate the association between post‐resuscitation PaCO2 and neurological outcomes.
Methods
This retrospective cohort study analyzed data from the Study of Advanced Life Support for Ventricular Fibrillation with Extracorporeal Circulation in Japan, a multicenter registry study across 36 hospitals in Japan, including patients with out‐of‐hospital cardiac arrest (OHCA) admitted to intensive care units (ICU) after ECPR between 2013 and 2018. Good PaCO2 management status was defined as a PaCO2 value of 35–45 mmHg. We classified patients into four groups (poor–poor, poor–good, good–poor, and good–good) according to their PaCO2 management status upon admission at the ICU and the following day. The primary outcome was a favorable neurological outcome, defined as cerebral performance category 1 or 2, 30 days after cardiac arrest. The secondary outcome was survival 30 days after cardiac arrest.
Results
We classified 885 eligible patients into poor–poor (
Conclusion
PaCO2 values were not significantly associated with 30‐day neurological outcomes or survival of patients with OHCA after ECPR.
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Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details



1 Tertiary Emergency Medical Center, Tokyo Metropolitan Bokutoh Hospital, Sumida‐ku, Tokyo, Japan
2 Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
3 Department of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, Kobe, Japan
4 Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo, Japan
5 Department of Emergency, Disaster and Critical Care Medicine, Kagawa University Hospital, Miki, Kagawa, Japan