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Frontiers in Cardiovascular Medicine logoLink to Frontiers in Cardiovascular Medicine
. 2022 Feb 1;8:814313. doi: 10.3389/fcvm.2021.814313

The Effect of Intraoperative Cerebral Oximetry Monitoring on Postoperative Cognitive Dysfunction and ICU Stay in Adult Patients Undergoing Cardiac Surgery: An Updated Systematic Review and Meta-Analysis

Li-Juan Tian 1, Su Yuan 1, Cheng-Hui Zhou 1,*, Fu-Xia Yan 1,*
PMCID: PMC8846308  PMID: 35178431

Abstract

Aim

Determining whether intraoperative cerebral oximetry monitoring-guided intervention reduces the risk of postoperative cognitive dysfunction remains controversial. The objective of this study was to conduct an up-to-date meta-analysis to comprehensively assess the effects of regional cerebral oxygen saturation (rSO2) monitoring-guided intervention on cognitive outcomes after cardiac surgery.

Methods

PubMed, EMBASE, Ovid, and Cochrane Library databases were systematically searched using the related keywords for cardiac surgical randomized-controlled trials (RCTs) published from their inception to July 31, 2021. The primary outcome was postoperative delirium (POD). The secondary outcomes were postoperative cognitive decline (POCD) and other major postoperative outcomes. The odds ratio (OR) or weighted mean differences (WMDs) with 95% confidence interval (CI) were used to pool the data. The random-effect model was used for the potential clinical inconsistency. We performed meta-regression and subgroup analyses to assess the possible influence of rSO2 monitoring-guided intervention on clinical outcomes.

Results

In total, 12 RCTs with 1,868 cardiac surgical patients were included. Compared with controls, the incidences of POD (n = 6 trials; OR, 0.28; 95% CI, 0.09–0.84; p = 0.02; I2 = 81%) and POCD (n = 5 trials; OR, 0.38; 95% CI, 0.16–0.93; p = 0.03; I2 = 78%) were significantly lower in the intervention group. Cerebral oximetry desaturation also showed a positive association with the incidence of POD (n = 5 trials; OR, 2.02; 95% CI, 1.25–3.24; p = 0.004; I2 = 81%). The duration of intensive care unit (ICU) stay was markedly shorter in the intervention group than in the control group (n = 10 trials; WMD, −0.22 days; 95% CI, −0.44 to −0.00; p = 0.05; I2 = 74%). Univariate meta-regression analyses showed that the major sources of heterogeneity were age (p = 0.03), body mass index (BMI, p = 0.05), and the proportion of congenital heart disease (CHD, p = 0.02) for POD, age (p = 0.04) for POCD, diabetes mellitus (DM, p = 0.07), cerebrovascular accident (CVA, p = 0.02), and chronic obstructive pulmonary disease (COPD, p = 0.09) for ICU stay. Subsequent subgroup analyses also confirmed these results.

Conclusion

Available evidence from the present study suggests that an intraoperative cerebral oximetry desaturation is associated with an increased POD risk, and the rSO2 monitoring-guided intervention is correlated with a lower risk of POD and POCD, and a shorter ICU stay in adults undergoing cardiac surgery. These clinical benefits may be limited in patients with older age, diabetes status, high BMI, non-CHD, non-COPD, or a previous cardiovascular accident.

Systematic Review Registration: [PROSPREO], identifier: [CRD42021252654].

Keywords: cardiac surgery, cardiopulmonary bypass, postoperative delirium, regional cerebral oxygen saturation, postoperative cognitive decline

Introduction

Transient cognitive dysfunction following cardiac surgery with cardiopulmonary bypass (CPB) is a common and clinically important complication (1). Postoperative delirium (POD) is the most severe presentation of neurocognitive disorders with a rate of up to 50% of cardiac surgical patients (2), which contributes to a prolonged hospital stay, long-term cognitive impairment, and increased morbidity and mortality (1, 37). Some previous studies showed that patients were susceptible to neurocognitive disorders from hypoperfusion and microemboli resulting in impaired cerebrovascular autoregulation during cardiac surgery undergoing CPB (8). In a cohort study concerning cardiac surgery, intraoperative post-ischemia cerebral hyper-oxygenation has been shown to be strongly associated with an increased risk of postoperative cognitive dysfunction (9). Near-infrared spectroscopy (NIRS) possesses the potential of non-invasively evaluating the oxygen supply/demand balance in frontal brain tissue and providing real-time regional cerebral oxygen saturation (rSO2) even during non-pulsatile perfusion, and intraoperative decreased rSO2 may indicate a clinically relevant association with cognitive dysfunction (1012). Additionally, there are very few literature studies supporting that anesthetic practice based on optimizing cerebral oxygenation during cardiac surgery leads to improved postoperative outcomes (13, 14). However, this conclusion was still controversial as some recently randomized-controlled trials (RCTs) have demonstrated that NIRS-guided intervention has no effect on the reduction of neurocognitive disorders after cardiac and non-cardiac surgeries (15, 16). Two prospective randomized studies, including high-risk patients conducted by Lei et al. and Deschamps et al., found that NIRS-guided intervention could attenuate the decreases of rSO2 in cardiac surgery but did not affect the incidence of POD (17, 18).

Therefore, the effect of intraoperative NIRS-guided intervention on postoperative cognitive dysfunction in cardiac surgical patients with CPB remains unclear. An up-to-date systematic review and meta-analysis aim to comprehensively evaluate the effects of intraoperative anesthetic practice based on cerebral oximetry monitoring on delirium and cognitive outcomes after cardiac surgery.

Methods

This study followed the methodology outlined in the Cochrane Handbook for Systematic Reviews of Interventions Version 6.0 (19). We explained it in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA) statement. This protocol has been registered on the International Prospective Systematic Reviews Registry database (PROSPERO 2021: CRD42021252654).

Search Strategy

PubMed, EMBASE, Ovid, and Cochrane Library databases were searched for English articles published from their inception to July 31, 2021, for RCTs evaluating the effects of intraoperative anesthetic practice followed cerebral oximetry monitoring on post-cardiac surgery cognitive outcomes. The related ongoing or completed studies on ClinicalTrials.gov were also searched, and the references of the identified studies were also reviewed to identify further relevant studies. The related searching words were as follows: (Postoperative delirium) OR (Postoperative Cognitive Dysfunctions) AND [(cardiac surgery) OR (cardiopulmonary bypass) OR (coronary artery bypass surgery) OR (valve surgery) OR (aortic surgery) OR (congenital heart disease)] AND (intraoperative cerebral oximetry) AND (randomized controlled trial OR controlled clinical trial OR randomly OR trial) in the title/abstract. In addition, we manually searched the references of the identified studies.

Selection Criteria

The study selection criteria were as follows: (1) Population: populations of interest were adult patients undergoing cardiac surgery. Studies concerning children, infants, or newborns were excluded. (2) Intervention: The intervention group was NIRS-guided therapy. (3) Comparator: The intervention group vs. the control group. (4) Outcome: The incidence of POD. (5) Study design: Only included RCTs to ensure that the combined results were of good quality, and excluded the studies that could not provide effective analysis data.

Interventions

Thresholds for intervention were generally below 70–90% baseline rSO2 or below 50–60% absolute rSO2. Intraoperative cerebral oximetry-guided therapy was considered as the primary intervention and was triggered by the evidence of cerebral oxygen desaturation. Specific interventions included the fluid supplement and/or vasoactive drugs for hypotension, changes in ventilatory parameters to optimize the partial pressure arterial oxygen and carbon dioxide, or blood transfusion.

Outcomes and Definitions

The primary outcome was the incidence of POD as defined in the individual studies. The secondary outcomes were postoperative cognitive decline (POCD) and intensive care unit (ICU) stay. Additional outcomes included mechanical ventilation duration, hospital length of stay (LOS), as well as the incidence of myocardial infarction (MI), acute kidney injury (AKI), surgical site infection, cerebrovascular accident (CVA), and hospital mortality.

Data Collection and Quality Assessment

Two researchers (LJT and CHZ) independently extracted the following study design and patient characteristics: research title, author's name, the year of publication, the journal of included studies, research area (hospital or research institute), total number of patients, the number of patients in the two groups, gender, age, the type of surgical procedure, and the data regarding outcomes of interest in both groups.

The two researchers evaluated the quality of the included studies in accordance with the quality assessment section of the Cochrane handbook for systematic reviews of interventions 6.0. Two researchers also assessed selection bias, blind bias, incomplete outcome data bias, selective reporting bias, and other biases for each included study (20). Disagreements were resolved through a discussion during the process of data abstraction. The quality of the study was categorized as low-, medium-, or high-risk accordingly. In addition, the baseline characteristics and comorbidity were compared between the intervention and control groups in each study for patients.

Statistical Analysis

All the data were analyzed by Review Manager 5.4 (Cochrane Collaboration, Oxford, UK), Stata 12.0 (Stata Corporation, College Station, TX, USA), and Trial Sequential Analysis 0.9 Beta (Copenhagen Trial Unit, Copenhagen, Denmark). The odds ratios (ORs) with 95% confidence intervals (CIs) were estimated for dichotomous data, and weighted mean differences (WMDs) with 95% CIs for continuous data, respectively. In addition, we converted the data expressed as the median and interquartile range (IQR), to mean and SD by the formulas of Luo and Wan (21). The random-effect model was used to pool the data for the consideration of methodological and clinical heterogeneity. Q-test (p < 0.1 denoted statistically significant heterogeneity) and I2 statistics (I2 > 50% was considered as the presence of significant heterogeneity) were used to evaluate the heterogeneity of this study. Meta-regression (p < 0.1) and subgroup analyses were conducted for positive results to explore the potential sources of heterogeneity between rSO2 monitoring-guided intervention and clinical outcomes. To reduce the possibility of overfitting in the regression model, at least four studies or substudies were set for the identification of every one influential factor (22). Publication bias was evaluated with the Egger's and Begg's tests (23). We performed the trial sequential analyses (TSAs) of POD, POCD, and ICU stay based on the data from our pooled analysis (OR and the incidence of POD or POCD; WMD and variance) to calculate the required sample size for the statistical power. P < 0.05 was set as statistically significant.

Results

Literature Search, Study Characteristics, and Quality Assessment

As depicted in the flow chart (Figure 1), our initial search yielded 2,702 records. A total of 2,662 trials were excluded by being duplicated and reviewing the titles and abstracts. Twenty-four of the trials were excluded for a non-RCT design. Seven trials were terminated without neurologic outcomes. One trial was excluded due to the exploration of the relationship between postoperative cerebral oxygen and delirium. In total, 12 RCTs with 1,868 adult cardiac surgical patients were included in this meta-analysis (1618, 2432).

Figure 1.

Figure 1

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flowchart of selection.

Study Patient and Intervention Characteristics

The study characteristics are presented in Tables 1, 2. The screening included 1,868 patients undergoing cardiac surgery (on-pump coronary artery bypass graft (CABG), valve surgery, and CABG combined valve surgery) for meta-analysis, including 934 patients allocated into the intervention group and 934 in the control group. The definition criteria of cerebral oximetry desaturation in each study vary from below 70–90% of baseline rSO2 or below 50–60% absolute rSO2. The interventions to correct cerebral oxygen desaturation included the optimization of mechanical ventilation strategy, vasopressor delivery, fluid administration, and blood transfusion.

Table 1.

Baseline characteristics of included studies for meta-analysis.

References Sample size Age (y) Sex (M/F) Surgery Intervention Outcome
Intervention Control Intervention Control Intervention Control
Uysal et al. (16) 59 66 57 ± 11 58 ± 12 40/19 46/20 Cardiac surgery rSO2 below 60% for 1 min or longer POD, ICU stay, hospital LOS, transfusion requirement and SOFA on ICU admission
Deschamps et al. (17) 102 99 69 ± 12.6 72 ± 9.4 74/28 71/28 Cardiac surgery rSO2 decreased by 10% of baseline for a duration exceeding 15 s POD, ICU stay, hospital LOS, MI, transfusion requirement, infection and MOMM
Lei et al. (18) 123 126 74.2 ± 6.5 72.9 ± 6.3 88/35 88/38 Cardiac surgery rSO2 below 75% of the baseline value for 1 min or longer POD, ICU stay, hospital LOS, MI, transfusion requirement, infection and mortality
Murkin et al. (24) 100 100 61.8 ± 9.3 61.8 ± 10.3 87/13 88/12 CABG rSO2 values at or above 75% baseline value ICU stay, hospital LOS, wound infection and MI
Slater et al. (25) 125 115 64.33 ± 10.2 65.19 ± 9.7 104/21 97/22 CABG rSO2 drop more than 20% baseline value POCD and hospital LOS
Vretzakis et al. (26) 75 75 67.3 ± 8.5 65.9 ± 9.5 63/12 60/15 Cardiac surgery rSO2 <60% or decreased by 20% of baseline ICU stay, hospital LOS and transfusion requirement
Deschamps et al. (27) 23 25 71.1 ± 7.9 70.2 ± 9.2 19/4 14/11 High-risk cardiac surgery rSO2 decreased by 20% of baseline for a duration exceeding 15 sec ICU stay, hospital LOS, and transfusion requirement
Mohandas et al. (28) 50 50 34.6 ± 16.3 38.1 ± 15.8 30/20 28/22 Open heart surgery rSO2 below 85% of the baseline or below 50% for 1 min or longer POCD (postoperative 1 week and 3 months)
Colak et al. (29) 94 96 61.9 ± 7.1 63.4 ± 8.8 75/19 73/23 CABG rSO2 below 80% of the baseline or below 50% POD POCD, ICU stay, hospital LOS, MI, transfusion requirement and infection rate
Kara et al. (30) 43 36 59.1 ± 9.4 61.2 ± 10.3 33/10 29/7 CABG rSO2 below 80% of the baseline POCD, ICU stay and hospital LOS
Rogers et al. (31) 98 106 65.9 ± 22.7 70 ± 19.7 66/32 74/32 Open valve or combined CABG and valve surgery rSO2 below 70% of the baseline or below 50% ICU stay, hospital LOS, MI, transfusion requirement, infection and mortality
Kunst et al. (32) 42 40 71.6 ± 5 72 ± 4.3 33/9 34/6 CABG rSO2 below 85% of the baseline or below 50% POD and POCD, ICU stay and hospital LOS

CABG, coronary artery bypass graft; POD, postoperative delirium; POCD, postoperative cognitive decline; rSO2, regional cerebral oxygen saturations; MI, myocardial infarction; ICU, intensive care unit; LOS, length of stay; SOFA, sequential Organ failure assessment; MOMM, major organ morbidity and mortality.

Table 2.

Baseline characteristics, medical conditions, and perioperative data of included studies for meta-analysis.

References Age (Year) Male (%) BMI Pre-MI (%) DM (%) HT (%) CVA (%) COPD (%) CRF (%) CPB duration (min) Euroscore Baseline LVEF (%) CABG (%) CHD (%) Valve surgery (%) Complex surgery (%)
Uysal et al. (16) 57.5 68.8 26.8 NA NA NA NA NA NA 131.1 2.5 60.0 5.6 0 67.2 27.2
Deschamps et al. (17) 71.0 72.1 NA 4.5 29.4 79.6 NA 9.9 13.9 135.9 5.3 NA NA 0 28.2 70.1
Lei et al. (18) 73.5 70.7 28.1 12.4 27.7 76.7 14.5 12.9 NA 111.0 NA NA 55.8 0 NA 43.8
Murkin et al. (24) 61.8 87.5 29.6 5 28.5 NA 7.0 17.5 8.5 88.2 NA NA 100 0 0 0
Slater et al. (25) 64.7 83.5 NA 16.0 32.9 78.3 7.5 5.6 4.4 65.6 NA 51.1 100 0 0 0
Vretzakis et al. (26) 66.6 82.0 27.8 54.7 24 80.6 NA 21.3 NA 91.3 NA 47.8 80.7 1.3 10.0 8.0
Deschamps et al. (27) 70.6 68.8 NA NA NA NA NA NA NA 116.6 NA 56.3 19.0 0 23.8 50.2
Mohandas et al. (28) 36.3 58.0 20.7 NA NA NA NA NA NA 88.7 NA NA 0 20.0 74.0 6.0
Colak et al. (29) 62.7 78.0 NA 11.6 33.7 90.5 NA NA 1.6 90.0 2.3 56 100 0 0 0
Kara et al. (30) 60.1 78.5 NA NA 30.4 74.7 12.7 15.2 1.3 78.1 NA 54.0 100 0 0 0
Rogers et al. (31) 68.0 69.0 27.6 10.0 9.0 NA 8.0 NA NA 108.8 5.0 NA 0 0 77.0 23.0
Kunst et al. (32) 71.8 81.7 26.7 NA 31.7 92.7 14.6 11.0 NA 81.1 4.4 NA 100 0 0 0

BMI, body mass index; MI, myocardial infarction; DM, diabetes mellitus; HT, hypertension; CVA, cerebrovascular accident; COPD, chronic obstructive pulmonary disease; CRF, chronic renal failure CPB, cardiopulmonary bypass; Euroscore, European system for cardiac operative risk evaluation; EF, ejection fraction; CABG, coronary artery bypass graft; CHD, congenital heart disease; NA, not available.

Quality Assessment

Six studies with an unclear risk of bias were due to the unclear blinding assessments or participants and personnel (16, 17, 2628). Two, trials did not describe the study design in detail and were not clear about the selective reporting bias (24, 25), almost all the included RCTs were assessed as low bias risk, indicating that they were of good quality (Figures 2, 3).

Figure 2.

Figure 2

Risk of bias summary of review authors' judgments about each risk of bias item for each included study.

Figure 3.

Figure 3

Risk of bias graph of review authors' judgments about each risk of bias item presented as the percentage across all included studies.

Primary Outcomes

Six RCTs with 826 patients were assessed for POD with an overall incidence of 18.0% (intervention, 11.9%; control, 23.8%). There was a significant decrease in the incidence of POD in the intervention group relative to the control group (Figure 4A; OR, 0.28; 95% CI, 0.09–0.84; p = 0.02; I2 = 81%).

Figure 4.

Figure 4

(A) Pooled effect of cerebral oximetry monitoring-guided intervention on the incidence of postoperative delirium (POD). (B) The pooled incidence of POD with cerebral oximetry desaturation. (C) The pooled effect of cerebral oximetry monitoring-guided intervention on the incidence of postoperative cognitive decline (POCD).

There was an increased occurrence of POD with cerebral oximetry desaturation defined by both relative (below 70–90% baseline rSO2) or absolute (below 50–60% absolute rSO2) thresholds (Figure 4B; OR, 2.02; 95% CI, 1.25–3.24; p = 0.004; I2 = 81%) in five RCTs including 859 patients undergoing cardiac surgery.

Secondary Outcomes

The POCD was reported in 858 study participants, and the overall incidence was 31.1% (intervention, 114/435; control, 170/423). POCD was reported in five trials, there was a significant reduction in POCD after cardiac surgery in the intervention group (Figure 4C; OR, 0.38; 95% CI, 0.16–0.93; p = 0.03; I2 = 78%).

The mechanical ventilation duration was explored in eight trials with 1,263 patients without a statistically significant difference between the two groups (Figure 5A; WMD, −0.27 h; 95% CI, −1.52–0.99; p = 0.68; I2 = 63%). The ICU stay was examined in 10 trials with 1,459 patients. The lengths of ICU stay were less in the intervention group with a marginal statistical significance (Figure 5B; WMD, −0.22 days; 95% CI, −0.44 to −0.00; p = 0.05; I2 = 74%). The pooled analysis found no significant difference in hospital LOS between the groups (Figure 5C; WMD, −0.02 days; 95% CI, −0.73–0.70; p = 0.96; I2 = 88%).

Figure 5.

Figure 5

Pooled effect of cerebral oximetry monitoring guided intervention on (A) mechanical ventilation duration, (B) intensive care unit (ICU) length of stay (LOS), and (C) length of postoperative hospital stay.

There were no significant differences in the incidence of MI (Figure 6A; OR, 0.90; 95% CI, 0.43–1.92; p = 0.79; I2 = 0%), AKI (Figure 6B; OR, 0.94; 95% CI, 0.57–1.55; p = 0.81; I2 = 0%), surgical site infection (Figure 6C; OR, 0.86; 95% CI, 0.58–1.28; p = 0.46; I2 = 0%), CVA (Figure 6D; OR, 1.27; 95% CI, 0.51–3.17; p = 0.60; I2 = 0%), and hospital mortality (Figure 6E; OR, 0.81; 95% CI, 0.37–1.78; p = 0.60; I2 = 0%) between the two groups.

Figure 6.

Figure 6

The pooled effect of cerebral oximetry monitoring-guided intervention on the incidence of (A) myocardial infarction (MI), (B) acute kidney injury (AKI), (C) surgical site infection, (D) cerebrovascular accident (CVA), and (E) hospital mortality.

Meta-Regression and Subgroup Analyses for the Potential Sources of Heterogeneity

Age, male, body mass index (BMI), previous MI, diabetes mellitus (DM), hypertension, CVA, chronic obstructive pulmonary disease (COPD), chronic renal failure, CPB duration, baseline left ventricular ejection fraction, a European system for cardiac operative risk evaluation, valve surgery, congenital heart disease (CHD) surgery, CABG surgery, and complex surgery were included in the random-effect univariate meta-regression analyses for POD, POCD, and ICU stay. The major sources of heterogeneity were age (coefficient = 0.09; p = 0.03; adjusted R2 = 0.99), BMI (coefficient = 0.53; p = 0.05; adjusted R2 = 0.97), and CHD (coefficient = −0.17; p = 0.02; adjusted R2 = 0.92) for POD, age (coefficient = 0.13; p = 0.04; adjusted R2 = 0.93) for POCD, DM (coefficient = 0.03; p = 0.07; adjusted R2 = 0.65), CVA (coefficient = 0.11; p = 0.02; adjusted R2 = 1), and COPD (coefficient = −0.10; p = 0.09; adjusted R2 = 1) for ICU stay as shown in Table 3.

Table 3.

Meta-regression and subgroup analyses for the potential sources of heterogeneity.

Variables Endpoint No. of comparisons Coeff./OR/WMD WMD 95% CI P-value
Univariate Coeff. Adjusted R2
Age (years) POD (Ln) 6 0.09 0.02 ~ 016 0.03 0.99
POCD (Ln) 5 0.13 0.01 ~ 0.26 0.04 0.93
BMI POD (Ln) 4 0.53 −0.01 ~ 1.07 0.05 0.97
CHD (%) POD (Ln) 6 −0.17 −0.30 ~−0.04 0.02 0.92
DM (%) ICU stay 7 0.03 −0.003 ~ 0.07 0.07 0.65
CVA (%) ICU stay 5 0.11 0.04 ~ 0.18 0.02 1.00
COPD (%) ICU stay 5 −0.10 −0.23 ~ 0.31 0.09 1.00
Subgroup I 2 PDifference value
OR
1. Age (years) POD 6 0.01
≥71.0 2 0.39 0.04 ~ 3.74 0.42 77.1%
<71.0 4 0.22 0.05 ~ 1.00 0.05 81.50%
2. Age (years) POCD 5 0.001
≥63.0 2 0.89 0.55 ~ 1.44 0.64 0.00%
<63.0 3 0.17 0.05 ~ 0.59 0.01 70.8%
3.BMI POD 4 <0.001
≥25.0 3 0.41 0.10 ~ 1.59 0.20 65.7%
<25.0 1 0.02 0.004 ~ 0.09 <0.001 %
4. CHD POD 6 <0.001
≥20.0% 5 0.59 0.32 ~ 1.07 0.08 34.3%
<20.0% 1 0.02 0.004 ~ 0.09 <0.001 %
WMD
5. DM ICU stay 7 <0.001
≥25.0% 5 −0.12 −0.41 ~ 0.17 0.42 56.7%
<25.0% 2 −0.72 −0.98 ~−0.47 <0.001 0.0%
6. CVA ICU stay 5 <0.001
≥10.0% 3 −0.05 −0.30 ~ 0.19 0.66 41.4%
<10.0% 2 −0.72 −0.95 ~−0.99 <0.001 0.0%
7. COPD ICU stay 5 0.06
≥16.0% 2 −0.56 −1.09 ~−0.04 0.04 0.0%
<16.0% 3 −0.05 −0.30 ~−0.19 0.66 41.4%

POD, postoperative delirium; POCD, postoperative cognitive decline; ICU stay, intensive care unit stay; BMI, body mass index; CHD, congenital heart disease; DM, diabetes mellitus; CVA, cardiovascular accident; COPD, chronic obstructive pulmonary disease; Coeff., coefficient; OR, odds ratio; WMD, weighted mean difference; CI, confidence Interval.

Subgroup analyses showed that studies with a mean age of <71.0 years old, a mean BMI of <25.0, and the proportion of CHD surgery being <20.0% had a low risk of POD than those with a mean age of ≥71.0 years old (OR: 0.22 vs. 0.39, p < 0.01 for a subgroup difference), a mean BMI of ≥25.0 (OR: 0.02 vs. 0.41, p < 0.001 for a subgroup difference), and the proportion of CHD surgery being ≥20.0% (OR: 0.02 vs. 0.59, p < 0.001 for a subgroup difference) as shown in Table 3.

Studies with a mean age of <63.0 years old had a lower risk of POCD than those with a mean age of ≥ 63.0 years old (OR: 0.17 vs. 0.89, p < 0.001 for a subgroup difference) as shown in Table 3.

Furthermore, patients undergoing the intervention of cerebral oxygen saturation with COPD without DM and CVA had a significantly reduced ICU stay than those without COPD (WMD: −0.56 vs. −0.05; p = 0.06 for a subgroup difference), with DM (WMD: −0.72 vs. −0.12; p < 0.001 for a subgroup difference), and CVA (WMD: −0.72 vs. −0.05; p < 0.001 for a subgroup difference) as shown in Table 3.

Publication Bias Assessment and Sensitivity Analysis

Table 4 presents the results of publication bias. It was suggested that there was no obvious publication bias in POD (Egger's p = 0.06 and Begg's p = 0.06), POCD (Egger's p = 0.30 and Begg's p = 0.22), rSO2 desaturation (Egger's p = 0.22 and Begg's p = 0.33), and the length of ICU stay (Egger's p = 0.80 and Begg's p = 0.86).

Table 4.

Evaluation of publication bias and sensitivity analysis.

Index OR (95% CI) Z P-value I2 (%) I2's P Egger's P Begg's P
POD 0.29 (0.10, 0.89) 2.16 0.03 81 <0.001 0.06 0.06
POCD 0.38 (0.16, 0.93) 2.13 0.03 78 =0.001 0.30 0.22
rSO2 desaturation 2.02 (1.25, 3.24) 2.89 0.004 81 <0.001 0.22 0.33
ICU stay −0.22 (−0.44, 0.00) 1.93 0.05 74 <0.001 0.80 0.86

OR, odd ratio; 95% CI, 95% confidence interval; POD, postoperative delirium; POCD, postoperative cognitive decline; rSO2, regional cerebral oxygen saturation; ICU, intensive care unit.

Trial Sequential Analysis

To confirm the pooled effect sizes of POD, POCD, or ICU stay as the true estimated effect, the required sample sizes for the POD effect are 2,415, the POCD effect is 3,115, and the ICU stay effect is 462. Future trials would need to include approximately further 1,468 POD event rates and 2,257 POCD event rates. However, the sample size of ICU stay (1,459 vs. 462) is enough for the estimated effect.

Discussion

The present meta-analysis suggested that cerebral oximetry monitoring-guided intraoperative intervention was associated with a lower risk of POD and POCD and a shorter ICU stay in adults undergoing cardiac surgery. Similarly, we found an increased occurrence of POD with cerebral oximetry desaturation defined by both relative (below 70–90% baseline rSO2) or absolute (below 50–60% absolute rSO2) thresholds. These clinical benefits may be limited in patients with older age, diabetes status, high BMI, non-CHD, non-COPD, or a previous CVA.

In our study, the incidences of POD and POCD in 846 and 858 patients undergoing on-pump cardiac surgery were evaluated, of whom 149 (18.0%) and 284 (31.1%) were, respectively, diagnosed positive. POD is a common complication with a rate of 3.1–52% of adult patients undergoing cardiac surgery when defined as a disorder with an acute disturbance in attention and cognition (33). There are many factors associated with an increased risk of delirium, including advancing age, baseline cognitive impairment, preoperative comorbid conditions, and the type of surgery (34). Severe inflammatory responses, hypoperfusion and embolism related to CPB, are proposed to influence the cerebral oxygen supply/demand balance, and they cause subsequent delirium in a cardiac surgery patient (8). Greaves et al. did a meta-analysis to estimate the prevalence of cognitive impairments pre- and post-CABG, including delirium and dementia. They identified 215 studies with 91,829 patients and demonstrated that postoperative cognitive impairment increases to about 40% of patients acutely and then increases to nearly 40% in the long-term period (35). Their research findings provided important warnings about a cognitive decline in elderly patients, and more attention needs to be focused on the long-term (1–5 years) prognosis.

A multicenter observational study found that the prevalence of one or more rSO2 desaturations was 50–70% in cardiac surgery with CPB (36), prolonged rSO2 desaturation, and severe rSO2 desaturation significantly increased the risk of postoperative neurologic impairment (37, 38). In an observational study of 1,439 patients who underwent off-pump CABG surgery, intraoperative rSO2 reduction was associated with an increased risk of POD. The duration of rSO2 < 50% was 40% longer in patients with POD. For the prediction of POD, the cut-off value of intraoperative rSO2 was 50% for the total patient population, and 55% for patients younger than 68 years (39). Cournoyer et al. included 20 non-randomized studies in patients after cardiac arrest and concluded that a higher regional cerebral saturation is associated with improved resuscitation outcomes, especially the return to spontaneous circulation (40). In our meta-analysis, there is an increased occurrence of POD with cerebral oximetry desaturation defined by both relative (below 70–90% baseline rSO2) or absolute (below 50–60% absolute rSO2) thresholds. The results in this study are consistent with a previous report that suggested an association between cerebral oximetry desaturation with postoperative neurological impairment after cardiac surgery.

Determining whether the clinical benefits of rSO2 monitoring may interfere with patient characteristics in adult cardiac surgery has been an intriguing issue for a long time. Our analysis found that cerebral oximetry monitoring-guided intraoperative interventions had a low risk of POD in younger patients (<71.0 years old) and a lower BMI (<25.0), a significant reduction of POCD in patients with a mean age of <63.0 years old compared with control. Ding et al. conducted a meta-analysis and found that the intraoperative cerebral oxygenation monitoring could decrease the risk of POCD but have no effect on POD in non-cardiac and cardiac surgeries (41). Our meta-regression analysis showed that age was negatively correlated with the reduction in POD and POCD in the intervention group. In addition, we also found that the lengths of ICU stay were less in the intervention group with a marginal statistical significance. This result was similar to that reported by Zorrilla-Vaca et al., 1,300 patients from 9 RCTs in both cardiac and non-cardiac surgeries were analyzed with a higher heterogeneity (42). Subgroup analyses showed that patients with COPD, non-DM, and non-CVA had a significantly reduced ICU stay compared with the control. Cognitive dysfunction after cardiac surgery has been reported to be in association with an increased hospital stay, a prolonged ICU stay, a long-term cognitive dysfunction, and an increased risk for short-term mortality (2). Based on the findings from our study, determining whether pre-selecting a certain cohort of patients with a high risk of cognitive dysfunction may more likely show a significant decrease in the risks of POD and POCD by cerebral oximetry monitoring-guided interventions and eventually improve clinical outcomes, remains to be assessed in future, powered multicenter RCTs.

The major strength of our study includes gathering the largest sample size with only cardiac surgery, obtaining the positive effect of intervention based on cerebral SO2 monitoring on POD/POCD/ICU stay, and conducting a comprehensive exploration of clinically relevant influential factors (age, diabetes, BMI, and a previous CVA). However, this meta-analysis has several limitations. First, there are multiple mechanisms to develop POD and POCD, namely embolism, inflammation, and hypoperfusion, and they may not have the same risk factors. Hence, the potential interference of patient characteristics (age, diabetes, and peripheral vascular disease), cardiovascular medications, hemodynamic instability, and CPB duration may be underestimated. Second, the definitions for cerebral desaturation are different among the included trials. Third, non–English language publications were excluded and may result in a potential publication bias. However, the publication bias assessments were not obvious. Finally, the included research were all RCTs with comparatively small sample size, only 7 RCTs qualified for the meta-regression analysis, and therefore, the conclusions may not be robust but hypothesis generating. To clarify the neuroprotection effectiveness of intraoperative interventions followed by optimizing cerebral oxygenation in cardiac surgical patients, further large randomized trials are needed.

In conclusion, the available evidence in the meta-analysis suggests that cerebral oximetry monitoring-guided intraoperative interventions are correlated with a lower risk of postoperative cognitive dysfunction and a shorter ICU stay in adults undergoing cardiac surgery. These clinical benefits may be limited in patients with older age, diabetes status, high BMI, non-CHD, non-COPD, or a previous cardiovascular accident. Based on the fact that an intraoperative intervention followed cerebral oxygenation may provide significant benefits in patients with a high-risk status, and further trials are needed to verify the effectiveness of cerebral oxygen saturation intervention threshold settings in improving cognitive function.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Author Contributions

L-JT and C-HZ made a substantial contribution to the conception and design of the work and manuscript drafting. L-JT, SY, C-HZ, and F-XY contributed to the acquisition, analysis, and interpretation of the data. All authors were involved in drafting and revision of the manuscript for important intellectual content and approved the final version to be published.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1.Rengel KF, Pandharipande PP, Hughes CG. Postoperative delirium. Presse Med. (2018) 47:e53–64. 10.1016/j.lpm.2018.03.012 [DOI] [PubMed] [Google Scholar]
  • 2.Inouye SK, Westendorp RG, Saczynski JS. Delirium in elderly people. Lancet. (2014) 383:911–22. 10.1016/S0140-6736(13)60688-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Koster S, Hensens AG, Schuurmans MJ, van der Palen J. Risk factors of delirium after cardiac surgery: a systematic review. Eur J Cardiovasc Nurs. (2011) 10:197–204. 10.1016/j.ejcnurse.2010.09.001 [DOI] [PubMed] [Google Scholar]
  • 4.Kazmierski J, Kowman M, Banach M, Fendler W, Okonski P, Banys A, et al. Incidence and predictors of delirium after cardiac surgery: results from the IPDACS study. J Psychosom Res. (2010) 69:179–85. 10.1016/j.jpsychores.2010.02.009 [DOI] [PubMed] [Google Scholar]
  • 5.Ely EW, Shintani A, Truman B, Speroff T, Gordon SM, Harrell FE Jr, et al. Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. J Am Med Assoc. (2004) 291:1753–62. 10.1001/jama.291.14.1753 [DOI] [PubMed] [Google Scholar]
  • 6.Jackson JC, Gordon SM, Hart RP, Hopkins RO, Ely EW. The association between delirium and cognitive decline: a review of the empirical literature. Neuropsychol Rev. (2004) 14:87–98. 10.1023/B:NERV.0000028080.39602.17 [DOI] [PubMed] [Google Scholar]
  • 7.Vasilevskis EE, Chandrasekhar R, Holtze CH, Graves J, Speroff T, Girard TD, et al. The cost of ICU delirium and coma in the intensive care unit patient. Med Care. (2018) 56:890–7. 10.1097/MLR.0000000000000975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Gosselt AN, Slooter AJ, Boere PR, Zaal IJ. Risk factors for delirium after on-pump cardiac surgery: a systematic review. Crit care. (2015) 19:346. 10.1186/s13054-015-1060-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lopez MG, Pandharipande P, Morse J, Shotwell MS, Milne GL, Pretorius M, et al. Intraoperative cerebral oxygenation, oxidative injury, and delirium following cardiac surgery. Free Radic Biol Med. (2017) 103:192–8. 10.1016/j.freeradbiomed.2016.12.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Murkin JM. Cerebral oximetry: monitoring the brain as the index organ. Anesthesiology. (2011) 114:12–3. 10.1097/ALN.0b013e3181fef5d2 [DOI] [PubMed] [Google Scholar]
  • 11.Yu Y, Zhang K, Zhang L, Zong H, Meng L, Han R. Cerebral near-infrared spectroscopy (NIRS) for perioperative monitoring of brain oxygenation in children and adults. Cochrane Database Syst Rev. (2018) 1:Cd010947. 10.1002/14651858.CD010947.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Scheeren TW, Schober P, Schwarte LA. Monitoring tissue oxygenation by near infrared spectroscopy (NIRS): background and current applications. J Clin Monit Comput. (2012) 26:279–87. 10.1007/s10877-012-9348-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jo YY, Shim JK, Soh S, Suh S, Kwak YL. Association between cerebral oxygen saturation with outcome in cardiac surgery: brain as an index organ. J Clin Med. (2020) 9:840. 10.3390/jcm9030840 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Momeni M, Meyer S, Docquier MA, Lemaire G, Kahn D, Khalifa C, et al. Predicting postoperative delirium and postoperative cognitive decline with combined intraoperative electroencephalogram monitoring and cerebral near-infrared spectroscopy in patients undergoing cardiac interventions. J Clin Monit Comput. (2019) 33:999–1009. 10.1007/s10877-019-00253-8 [DOI] [PubMed] [Google Scholar]
  • 15.Wildes TS, Mickle AM, Ben Abdallah A, Maybrier HR, Oberhaus J, Budelier TP, et al. Effect of electroencephalography-guided anesthetic administration on postoperative delirium among older adults undergoing major surgery: the ENGAGES randomized clinical trial. J Am Med Assoc. (2019) 321:473–83. 10.1001/jama.2018.22005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Uysal S, Lin HM, Trinh M, Park CH, Reich DL. Optimizing cerebral oxygenation in cardiac surgery: A randomized controlled trial examining neurocognitive and perioperative outcomes. J Thorac Cardiovasc Surg. (2020) 159:943–53. 10.1016/j.jtcvs.2019.03.036 [DOI] [PubMed] [Google Scholar]
  • 17.Deschamps A, Hall R, Grocott H, Mazer CD, Choi PT, Turgeon AF, et al. Cerebral oximetry monitoring to maintain normal cerebral oxygen saturation during high-risk cardiac surgery: a randomized controlled feasibility trial. Anesthesiology. (2016) 124:826–36. 10.1097/ALN.0000000000001029 [DOI] [PubMed] [Google Scholar]
  • 18.Lei L, Katznelson R, Fedorko L, Carroll J, Poonawala H, Machina M, et al. Cerebral oximetry and postoperative delirium after cardiac surgery: a randomised, controlled trial. Anaesthesia. (2017) 72:1456–66. 10.1111/anae.14056 [DOI] [PubMed] [Google Scholar]
  • 19.Higgins, JPT, Thomas, J, Chandler, J, Cumpston, M, Li, T, Page, MJ, et al. Cochrane Handbook for Systematic Reviews of Interventions version 6.2. Cochrane; 2021. Available online at: https://training.cochrane.org/handbook/current (accessed October 22, 2021).
  • 20.Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. Cochrane Statistical Methods Group the Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. (2011) 343:d5928. 10.1136/bmj.d5928 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. (2014) 14:135. 10.1186/1471-2288-14-135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Schmid CH, Stark PC, Berlin JA, Landais P, Lau J. Meta-regression detected associations between heterogeneous treatment effects and study-level, but not patient-level, factors. J Clin Epidemiol. (2004) 57:683–97. 10.1016/j.jclinepi.2003.12.001 [DOI] [PubMed] [Google Scholar]
  • 23.Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. (1997) 315:629–34. 10.1136/bmj.315.7109.629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Murkin JM, Adams SJ, Novick RJ, Quantz M, Bainbridge D, Iglesias I, et al. Monitoring brain oxygen saturation during coronary bypass surgery: a randomized, prospective study. Anesth Analg. (2007) 104:51–8. 10.1213/01.ane.0000246814.29362.f4 [DOI] [PubMed] [Google Scholar]
  • 25.Slater JP, Guarino T, Stack J, Vinod K, Bustami RT, Brown JM 3rd, et al. Cerebral oxygen desaturation predicts cognitive decline and longer hospital stay after cardiac surgery. Ann Thoracic Surg. (2009) 87:36–44. 10.1016/j.athoracsur.2008.08.070 [DOI] [PubMed] [Google Scholar]
  • 26.Vretzakis G, Georgopoulou S, Stamoulis K, Tassoudis V, Mikroulis D, Giannoukas A, et al. Monitoring of brain oxygen saturation (INVOS) in a protocol to direct blood transfusions during cardiac surgery: a prospective randomized clinical trial. J Cardiothorac Surg. (2013) 8:145. 10.1186/1749-8090-8-145 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Deschamps A, Lambert J, Couture P, Rochon A, Lebon JS, Ayoub C, et al. Reversal of decreases in cerebral saturation in high-risk cardiac surgery. J Cardiothorac Vasc Anesth. (2013) 27:1260–6. 10.1053/j.jvca.2013.01.019 [DOI] [PubMed] [Google Scholar]
  • 28.Mohandas BS, Jagadeesh AM, Vikram SB. Impact of monitoring cerebral oxygen saturation on the outcome of patients undergoing open heart surgery. Ann Card Anaesth. (2013) 16:102–6. 10.4103/0971-9784.109740 [DOI] [PubMed] [Google Scholar]
  • 29.Colak Z, Borojevic M, Bogovic A, Ivancan V, Biocina B, Majeric-Kogler V. Influence of intraoperative cerebral oximetry monitoring on neurocognitive function after coronary artery bypass surgery: a randomized, prospective study. Eur J Cardio-Thoracic Surg. (2015) 47:447–54. 10.1093/ejcts/ezu193 [DOI] [PubMed] [Google Scholar]
  • 30.Kara I, Erkin A, Sacli H, Demirtas M, Percin B, Diler MS, et al. The effects of near-infrared spectroscopy on the neurocognitive functions in the patients undergoing coronary artery bypass grafting with asymptomatic carotid artery disease: a randomized prospective study. Ann Thoracic Cardiovasc Surg. (2015) 21:544–50. 10.5761/atcs.oa.15-00118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Rogers CA, Stoica S, Ellis L, Stokes EA, Wordsworth S, Dabner L, et al. Randomized trial of near-infrared spectroscopy for personalized optimization of cerebral tissue oxygenation during cardiac surgery. Br J Anaesth. (2017) 119:384–93. 10.1093/bja/aex182 [DOI] [PubMed] [Google Scholar]
  • 32.Kunst G, Gauge N, Salaunkey K, Spazzapan M, Amoako D, Ferreira N, et al. Intraoperative optimization of both depth of anesthesia and cerebral oxygenation in elderly patients undergoing coronary artery bypass graft surgery-a randomized controlled pilot trial. J Cardiothorac Vasc Anesth. (2020) 34:1172–81. 10.1053/j.jvca.2019.10.054 [DOI] [PubMed] [Google Scholar]
  • 33.Neufeld KJ, Leoutsakos JM, Sieber FE, Wana-maker BL, Gibson Chambers JJ, Rao V, et al. Outcomes of early delirium diagnosis after general anesthesia in the elderly. Anesth Analg. (2013) 117:471–8. 10.1213/ANE.0b013e3182973650 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Hughes CG, Patel MB, Jackson JC, Girard TD, Geevarghese SK, Norman BC, et al. Surgery and anesthesia exposure is not a risk factor for cognitive impairment after major noncardiac surgery and critical illness. Ann Surg. (2017) 265:1126–33. 10.1097/SLA.0000000000001885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Greaves D, Psaltis PJ, Ross TJ, Davis D, Smith AE, Boord MS, et al. Cognitive outcomes following coronary artery bypass grafting: a systematic review and meta-analysis of 91,829 patients. Int J Cardiol. (2019) 289:43–9. 10.1016/j.ijcard.2019.04.065 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Subramanian B, Nyman C, Fritock M, Klinger RY, Sniecinski R, Roman P, et al. A multicenter pilot study assessing regional cerebral oxygen desaturation frequency during cardiopulmonary bypass and responsiveness to an intervention algorithm. Anesth Analg. (2016) 122:1786–93. 10.1213/ANE.0000000000001275 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Heringlake M, Garbers C, Käbler JH, Anderson I, Heinze H, Schön J, et al. Preoperative cerebral oxygen saturation and clinical outcomes in cardiac surgery. Anesthesiology. (2011) 114:58–69. 10.1097/ALN.0b013e3181fef34e [DOI] [PubMed] [Google Scholar]
  • 38.Green DW, Kunst G. Cerebral oximetry and its role in adult cardiac, non-cardiac surgery and resuscitation from cardiac arrest. Anaesthesia. (2017) 72(Suppl.1):48–57. 10.1111/anae.13740 [DOI] [PubMed] [Google Scholar]
  • 39.Lim L, Nam K, Lee S, Cho YJ, Yeom CW, Jung S, et al. The relationship between intraoperative cerebral oximetry and postoperative delirium in patients undergoing off-pump coronary artery bypass graft surgery: a retrospective study. BMC Anesthesiol. (2020) 20:285. 10.1186/s12871-020-01180-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Cournoyer A, Iseppon M, Chauny JM, Denault A, Cossette S, Notebaert E. Near-infrared spectroscopy monitoring during cardiac arrest: a systematic review and meta-analysis. Acad Emerg Med. (2016) 23:851–62. 10.1111/acem.12980 [DOI] [PubMed] [Google Scholar]
  • 41.Ding L, Chen DX, Li Q. Effects of electroencephalography and regional cerebral oxygen saturation monitoring on perioperative neurocognitive disorders: a systematic review and meta-analysis. BMC Anesthesiol. (2020) 20:254. 10.1186/s12871-020-01163-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Zorrilla-Vaca A, Healy R, Grant MC, Joshi B, Rivera-Lara L, Brown C, et al. Intraoperative cerebral oximetry-based management for optimizing perioperative outcomes: a meta-analysis of randomized controlled trials. Can J Anaesth. (2018) 65:529–42. 10.1007/s12630-018-1065-7 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.


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