| Issue |
J Extra Corpor Technol
Volume 58, Number 1, March 2026
|
|
|---|---|---|
| Page(s) | 73 - 78 | |
| DOI | https://doi.org/10.1051/ject/2025050 | |
| Published online | 13 March 2026 | |
Technique or Application
A comparative study of the effect of slow and rapid initiation of cardiopulmonary pump on tissue oxygenation index and ischemic complications
1
Baqiyatallah University of Medical Sciences, 19395-5487, Tehran, Iran
2
Student Research Committee, Faculty of Nursing, Tehran University of Medical Sciences, 1417935840 Tehran, Iran
3
Student Research Committee, Faculty of Nursing, Baqiyatallah University of Medical Sciences, 19395-5487 Tehran, Iran
4
Golestan University of Medical Science, 4918936316 Gorgan, Iran
5
College of Health Sciences, Cardiovascular Science Program, Glendale, Arizona 85308, USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
10
June
2025
Accepted:
2
September
2025
Abstract
Introduction: Although the use of the heart-lung machine (HLM) is routine in cardiac operating theaters, there is still a lack of evidence-based guidelines concerning the optimal speed to reach full flow during initiation to reduce critical episodes of cerebral ischemia. Therefore, we have designed a study to compare two distinct initiation times for the commencement of cardiopulmonary bypass (CPB). Methods: We conducted a randomized, monocentric, double-blind, prospective study to assess the impact of two different CPB initiation speeds – rapid initiation at 30 s and slow initiation at 180 s – on cerebral tissue oxygenation (TOI via NIRS), arterial oxygen pressure, hematocrit (HCT) variation, and the incidence of postoperative delirium. The target flow rate was set at 2.4 L/min/m2, with adjustments made according to the patient’s body surface area. Results: The absolute values of the tissue oxygenation index (TOI) and HCT showed no differences between the study during the first 180 s following commencement of CPB. Patients in the fast group exhibited significantly lower arterial oxygen pressure at the initiation of the (P < 0.05). Additionally, patients in the fast group experienced a higher incidence of delirium in the second and third days following surgery. While clinically relevant, the elevated incidence of delirium fell short of being statistically significant, with post-operative days 2 and 3 having P-values of 0.06 and 0.08, respectively. Conclusion: The results of this study indicate that, despite the absence of a significant difference in TOI between the study groups, patients in the slow group exhibited a not statistically significant trend for a lower incidence of delirium, as defined by CAMICU-7, in comparison to those in the fast group.
Key words: Initiation time / Cardiopulmonary bypass / Tissue oxygenation index / Ischemic complications / Near-infrared spectroscopy
© The Author(s), published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Introduction
The optimal speed or time frame required to achieve complete cardiac output (CO) from the heart-lung machine (HLM) during the initiation of cardiopulmonary bypass (CPB) is not clearly defined by either the manufacturer or the scientific community [1]. Approximately three decades ago, it was reported that, in the majority of cases, complete CO or CPB flow could be achieved within 30 s [2]. The dissemination of this information has continued despite the absence of scientific validation. The initiation times vary significantly across different institutions, ranging from as short as 10 s to as long as 20 s, and in some cases, extending up to 300 s, particularly in instances such as aortic dissection [1, 3]. Theoretical considerations indicate that slower initiation times may provide neurological advantages [4]. Unlike rapid initiation, a gradual ramp-up period allows for a more gradual hemodilution, which is linked to enhanced endogenous compensation for the decreasing oxygen supply [5]. This process may consequently lead to a reduction in the incidence of neurological complications [1].
The 30- and 180-second durations were selected based on previous perfusion protocols reported in the literature and clinical feasibility [1, 4, 5]. The 30-second rapid initiation reflects conventional practice, whereas the 180-second approach was chosen to provide a distinctly gradual hemodilution process for comparative evaluation.
This research aimed to evaluate the effects of two different initiation timings – rapid and slow – on the measurements of the cerebral tissue oxygenation (TOI via NIRS) index (TOI) and the incidence of neurological complications following on-pump cardiac surgery.
Material and methods
This randomized, monocentric, double-blind, and prospective study was carried out at the Baqiyatallah University Hospital for Cardiac Surgery over the period from October 2023 to April 2024. The research protocol received evaluation and approval from the Research Ethics Committees of Golestan University of Medical Sciences, assigned the ethics code IR.GOUMS.REC.1402.126, on July 25, 2023.
Written informed consent was obtained from all participants prior to their involvement. The inclusion criteria encompassed adult individuals aged 18 years and older who were scheduled to undergo non-emergency coronary artery bypass graft (CABG) surgery, which involved arterial cannulation of the aorta and single venous cannulation of the right atrium. Exclusion criteria included individuals with a prior diagnosis of neurological conditions, such as stroke, as well as those exhibiting any stenosis in the carotid or cerebral arteries. Furthermore, significant calcification of the aorta was another factor for exclusion. Anemia, defined as a hemoglobin level below 10 g/dL or a hematocrit (HCT) value under 30%, also disqualified certain participants. Moreover, patients requiring preoperative cardiac support systems, such as intra-aortic balloon pumps, extracorporeal membrane oxygenation, or ventricular assist devices, were considered ineligible for the study.
Demographic and medical information were collected for each patient participating in the study. Prior to the commencement of the study, a randomization process was implemented for Groups A and B, as outlined below:
- (A)
Cardiopulmonary bypass initiation time of 180 s is required to achieve the full target flow rate.
- (B)
Cardiopulmonary bypass should be initiated within 30 s to achieve the desired target flow rate.
The desired flow rate was determined based on the calculated cardiac output for each patient. This output was derived by applying a cardiac index of 2.4 L/min/m2, which was multiplied by the body surface area formula developed by DuBois and DuBois.
Anesthesia and surgery protocol
All patients received anesthesia according to a standardized protocol. The perioperative management of anesthesia involved the establishment of both arterial and venous lines, monitoring via transesophageal echocardiography, and the administration of norepinephrine in conjunction with saline infusions, aimed at maintaining the mean arterial pressure within the range of 60–80 mmHg. Each patient underwent a midline sternotomy, accompanied by a standardized cannulation technique for CPB. Prior to cannulation, complete heparinization was achieved by administering 400 IU/kg of body weight in heparin, ensuring an activated clotting time (ACT) exceeding 450 s. The ACT was measured using the Medtronic HMS Plus system, employing kaolin as the activator.
Study protocol
The configuration of our HLM was established using a LivaNova S5 (LivaNova PLC, London, United Kingdom) in conjunction with a Sorin Inspire 8F (LivaNova PLC, London, United Kingdom) oxygenator module, which features an integrated arterial filter and an open hard-shell venous reservoir. The HLM circuit was primed with 1,000 mL of Ringer’s lactate solution, which contained 10,000 IU of heparin. Prior to the commencement of extracorporeal circulation, the priming solution was warmed to a temperature of 37 °C, and the fraction of inspired oxygen was established at 0.8, with a gas flow rate of 2 L/min. In Group A, the flow rate was incrementally increased every 45 s by 25% of the total flow, ultimately achieving the desired flow rate of 100% at the 180-second mark. Similarly, in Group B, the flow rate was incrementally increased every 3.75 s by 25% of the total flow, achieving the target flow rate of 100% within 30 s. The venous clamp was adjusted to a closure of 10% to reduce the diameter of the venous conduit before the removal of the clamp on the arterial side. Subsequently, the clamp on the venous side was carefully released, ensuring that the patient remained isovolemic during the initiation of CPB, thereby preserving pulsatility throughout the measurement period.
Cerebral blood flow autoregulation is closely associated with viscosity, especially in relation to hemodilution, as well as with the partial pressure of carbon dioxide (PaCO2) [2]. Consequently, it is essential to alter only one variable for the purpose of comparative analysis while ensuring that PaCO2 levels remain constant. In this study, we maintained PaCO2 within the range of 30–35 mmHg. This lower range was intentionally maintained to standardize cerebral autoregulatory conditions and minimize the confounding influence of hypercapnia-induced cerebral vasodilation.
Data collection
The demographic information collected encompassed variables such as age, sex, history of diabetes mellitus, ejection fraction, hypertension, body surface area, and preoperative creatinine levels. The evaluation of arterial blood oxygen pressure (Pao2), hematocrit concentrations, and fluctuations in the TOI was performed at five-minute intervals every 30 min during the first three minutes after the commencement of CPB. The B-Capta online blood gas monitoring system, developed by LivaNova, was employed to facilitate precise assessments of the PaO2 and temperature in the arterial line, as well as measurements of saturation, HCT, hemoglobin, and temperature in the venous line. The TOI was evaluated using NIRS (NIRO-200NX, Hamamatsu Photonics K.K., Hamamatsu City, Japan). This evaluation necessitated the placement of the appropriate electrodes on the left and right foreheads. Initial observations were conducted while the subjects were awake, prior to the administration of anesthesia, followed by subsequent measurements throughout CPB.
The perioperative and postoperative data encompassed several parameters, including aortic cross-clamp time, CPB duration, circuit priming volume, maximum CPB flow rate, duration of mechanical ventilation, and length of stay in the intensive care unit (ICU).
The Confusion Assessment Method (CAM-ICU) emerged as the predominant instrument utilized for evaluating the occurrence of delirium following surgery [6]. The CAM-ICU-7 score is quantified on a scale from 0 to 7, with a score of 7 indicating the highest severity of delirium. The scores are subsequently classified into three categories: scores ranging from 0 to 2 indicate the absence of delirium, scores from 3 to 5 reflect mild to moderate delirium, and scores between 6 and 7 denote severe delirium [7].
The Richmond Agitation-Sedation Scale (RASS) and CAM-ICU scales were evaluated twice daily, in the morning and evening, over a four-day period following the surgical procedure.
A power analysis was performed prior to study initiation. Assuming an alpha of 0.05 and a power of 80%, a minimum of 25 patients per group was required to detect a 20% difference in the primary outcome (TOI).
Statistical analysis
Data are presented in tables as mean ± standard deviation, median, or absolute percentages. The Student’s t-test was employed for continuous parametric variables, while the Wilcoxon rank-sum test was utilized for nonparametric continuous variables. Statistical variations across the different time periods were evaluated using repeated measures analysis of variance, accompanied by Wilks’ Lambda. Results were deemed statistically significant when the associated P-values were below the threshold of 0.05.
Results
Demographic information and intraoperative and postoperative data
The demographic characteristics of the patients, along with their comorbidities, as well as intraoperative and postoperative variables, are detailed in Tables 1 and 2, respectively. No statistically significant differences were identified among the groups concerning demographic characteristics and intraoperative variables. Patients in the slow CPB initiation group exhibited a significantly reduced duration of stay in the ICU when compared to those in the fast initiation group (P < 0.05).
Demographic data and risk factors.
Intra and postoperative data.
Key variable variations pertinent to the primary study objectives (HCT, PaO2, TOI) among the study groups are illustrated in Table 3. As indicated in Table 3, there were no statistically significant differences observed in HCT and TOI among the study groups during the initial 180 s. Patients in the fast group exhibited a significantly lower paO2 during the initial 180 s when compared to those in the slow group (P < 0.05). It is noteworthy that at baseline (T0, before anesthesia induction), the fast group already demonstrated a statistically significant lower PaO2 (190.7 ± 37.3 mmHg) than the slow group (233.2 ± 69.5 mmHg), with a difference of approximately 42.5 mmHg. During the initiation of CPB (T1 – T4), the PaO2 in the fast group remained lower than that in the slow group, but the difference (ranging from 26.6 to 32.4 mmHg) was less than the baseline difference.
Key variables observed during the initial 180 s following the initiation of CPB.
The occurrence of delirium within the study groups, assessed using the CAM-ICU, is detailed in Table 4. Patients in the slow group exhibited a not statistically significant trend for a lower incidence of delirium, particularly on the second and third days following surgery. However, these findings did not reach statistical significance (P = 0.06 and 0.08).
Delirium occurs during the initial four days following surgery.
Discussion
Our research presents the first evidence of variations in regional brain tissue oxygenation associated with the gradual versus rapid initiation of CPB to achieve the desired target flow. While statistically significant PaO2 differences (~30 mmHg) were observed between groups during CPB initiation, the clinical relevance of this finding requires careful interpretation:
1. Supraphysiological oxygen levels:
Both groups maintained hyperoxic (PaO2 > 375 mmHg) throughout initiation – far exceeding physiological needs (normal PaO2: 80–100 mmHg). At these levels, oxygen content plateaus due to maximal hemoglobin saturation, diminishing the clinical impact of a 30 mmHg difference [8].
2. Potential hyperoxia risks
Emerging evidence suggests hyperoxia during CPB may increase oxidative stress and neuronal injury [9], impair cerebral autoregulation [10], and correlate with worse neurocognitive outcomes [11]. Thus, the higher PaO2 in the slow group (400–420 mmHg) might paradoxically confer disadvantage.
3. Physiological context:
The PaO2 difference represents a <1.5% change in arterial oxygen content. This minimal change is unlikely to affect oxygen delivery (DO2) at CPB flows >2.4 L/min/m2 [12].
Collectively, while the PaO2 difference reached statistical significance, its physiological and clinical relevance appears limited in the hyperoxic context of routine CPB management.
The results of this study indicate that, despite the absence of a significant difference in TOI and HCT between the study groups, patients classified in the slow group exhibited a clinically significant but not statistically significant lower incidence of delirium in comparison to those in the fast group.
Notwithstanding the variation in the rate of change, the absolute values concerning the impact on tissue oxygenation did not exhibit any differences at either the nadir or at 60 s after reaching 100% of the target flow rate of the HLM. This observation can be attributed to the identical dilutional volume of the priming solution utilized in both groups, as demonstrated in Table 1. Similarly, the observed disparity in NIRS values between the left and right sides, while not statistically significant, may be attributed to two potential factors. Firstly, it is plausible that the blood entering the right cerebral vessels is somewhat more diluted, as these vessels are anatomically closer to the delivery cannula of the bypass [1]. Alternatively, the jet produced by the cannula may be directed towards the left carotid artery, influencing the distribution of blood flow [1].
Severe hemodilution impacts cerebral oxygenation, necessitating increased blood pump flow rates to ensure sufficient cerebral oxygen delivery during CPB [13]. As demonstrated in Table 3, there is no statistically significant difference in HCT levels prior to the initiation of CPB. Based on the findings of this study, it can be inferred that both the fast- and slow-initiation CPB protocols are safe methods for patients, as evidenced by the aggregated numerical results pertaining to brain tissue oxygenation.
The incidence of delirium was evaluated utilizing the CAM-ICU. The CAM-ICU is a concise diagnostic tool specifically designed for the identification of delirium. It is derived from the more extensive Confusion Assessment Method (CAM), which is frequently employed in geriatric populations [14]. Notably, the CAM-ICU is distinguished by its rapid administration and its ability to be utilized without necessitating verbal communication from the patient. This feature renders it particularly suitable for application in individuals undergoing invasive mechanical ventilation and orotracheal intubation [15]. As indicated in Table 4, patients categorized in the slow group exhibited a reduced incidence of delirium in comparison to those in the fast group. The absence of a statistically significant difference may be ascribed to the limited sample size of the study. Research indicates that HCT levels and oxygen delivery significantly influence the incidence of delirium post-cardiac surgery [13, 14]. The diminished incidence of delirium noted in the slow group may be associated with lower hematocrit levels and partial pressure of oxygen (PaO2) at the onset of cardiopulmonary bypass (CPB). To date, there appears to be a lack of studies examining the relationship between the speed to reach full CO during CPB initiation and the subsequent development of delirium.
The duration of mechanical ventilation did not exhibit a statistically significant difference between the study groups (P > 0.05). Patients in the Slow group demonstrated a reduced length of stay in the ICU, which may be linked to a decreased occurrence of delirium within this study. Previous research has recognized delirium as an independent risk factor associated with extended ICU stays following cardiac surgery [13, 14].
Conclusion
The results of this study indicate that, despite the absence of a significant difference in TOI and HCT between the study groups, patients classified in the slow group exhibited a not statistically significant trend for a lower incidence of delirium in comparison to those in the fast group.
Limitations
This study was conducted at a single center with a relatively small sample size, which may limit the generalizability of the results. The lack of blood pressure, PaCO2, oxygen delivery (DO2), and AUC-DO2i data also limits the mechanistic insight. Additionally, cerebral embolization, depth of anesthesia, and postoperative medications, which may influence delirium, were not evaluated.
Funding
This research did not receive any specific funding.
Conflicts of interest
The author declared no conflict of interest.
Data availability statement
The research data associated with this article are included within the article.
Author contribution statement
Mostafa Bagherinasab and Ali Reza Moradi designed the study and supervised the project.
Ali Jabbari, Sahra Rezaee, and Amin Noori conducted the experiments and collected the data.
Sahra Rezaee performed the statistical analysis.
Mostafa Bagherinasab prepared the initial draft of the manuscript.
Nathaniel Darban and Zachary Archer contributed to editing, critical revision, and final approval of the manuscript.
All authors discussed the results and approved the final version of the paper.
Ethics approval
Ethical approval was not required.
References
- Turra J, Bauer A, Möbius A, Wojdyla J, Eisner C. Kinetics of tissue oxygenation index during fast and slow cardiopulmonary bypass initiation. Perfusion, 2023;38(3):574–579. [Google Scholar]
- Gravlee GP. Cardiopulmonary bypass: principles and practice. Lippincott Williams & Wilkins; 2008. [Google Scholar]
- Turra J, Wojdyla J, Eisner C. Current application of NIRS and CPB initiation times in German cardiac surgery centers: a survey. J ExtraCorp Technol. 2021;53(3):177–180. [Google Scholar]
- Murphy GS, Hessel EA, Groom RC. Optimal perfusion during cardiopulmonary bypass: an evidence-based approach. Anesth Analg. 2009;108(5):1394–1417. [CrossRef] [PubMed] [Google Scholar]
- Ismail A, Semien G, Sharma S, Collier SA, Miskolczi SY. Cardiopulmonary bypass. StatPearls [Internet]. StatPearls Publishing; 2024. [Google Scholar]
- Petersson NB, Hansen MH, Hjelmborg JV, et al. Incidence and assessment of delirium following open cardiac surgery: A systematic review and meta-analysis. European journal of cardiovascular nursing. Eur J Cardiovasc Nurs. 2024;23(8):825–832. [Google Scholar]
- Khan BA, Perkins AJ, Gao S, et al. The confusion assessment method for the ICU-7 delirium severity scale: a novel delirium severity instrument for use in the ICU. Crit Care Med. 2017;45(5):851–857. [Google Scholar]
- Shepherd JR, Dominelli PB, Roy TK, et al. Modelling the relationships between haemoglobin oxygen affinity and the oxygen cascade in humans. J Physiol. 2019;597(16):4193–4202. [Google Scholar]
- Caputo M, Mokhtari A, Rogers CA, et al. The effects of normoxic versus hyperoxic cardiopulmonary bypass on oxidative stress and inflammatory response in cyanotic pediatric patients undergoing open cardiac surgery: a randomized controlled trial. J Thorac Cardiovasc Surg. 2009;138(1):206–214. [CrossRef] [PubMed] [Google Scholar]
- Armstead WM. Cerebral blood flow autoregulation and dysautoregulation. Anesthesiol Clin. 2016;34(3):465–477. [Google Scholar]
- Fontes MT, McDonagh DL, Phillips-Bute B, et al. Arterial hyperoxia during cardiopulmonary bypass and postoperative cognitive dysfunction. J Cardiothorac Vasc Anesth. 2014;28(3):462–466. [CrossRef] [PubMed] [Google Scholar]
- Condello I, Santarpino G, Nasso G, Moscarelli M, Fiore F, Speziale G. Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass. JTCVS Tech. 2020;2:92–99. [CrossRef] [Google Scholar]
- Soliman R, Saad D, Abukhudair W, Abdeldayem S. The neurocognitive outcomes of hemodilution in adult patients undergoing coronary artery bypass grafting using cardiopulmonary bypass. Ann Cardiac Anaesth. 2022;25(2):133–140. [Google Scholar]
- Ely E, Gautam S, Margolin R, Francis J, May L, Speroff T, et al. The impact of delirium in the intensive care unit on hospital length of stay. Int Care Med. 2001;27:1892–1900. [Google Scholar]
- Thomason JW, Shintani A, Peterson JF, Pun BT, Jackson JC, Ely EW. Intensive care unit delirium is an independent predictor of longer hospital stay: a prospective analysis of 261 non-ventilated patients. Critical Care. 2005;9:1–7. [Google Scholar]
Cite this article as: Bagherinasab M, Rezaei S, Moradi AR, Jabbari A, Noori A, Archer Z & Darban NH. A comparative study of the effect of slow and rapid initiation of cardiopulmonary pump on tissue oxygenation index and ischemic complications. J Extra Corpor Technol 2026, 58, 73–78. https://doi.org/10.1051/ject/2025050.
All Tables
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
