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Cerebral oxygen saturation after multiple perioperative influential factors predicts the occurrence of postoperative cognitive dysfunction

BMC Anesthesiology volume 15, Article number: 156 (2015) Cite this article

Abstract

Background

Postoperative cognitive dysfunction (POCD) is a frequent complication in elderly patients undergoing major non-cardiac surgery, but its etiology is still unclear. Cerebral oxygen saturation (ScO2) represents the balance of cerebral oxygen supply and demand. The aim of present study was to evaluate the relationship between perioperative ScO2 and POCD, and to verify the hypothesis that the value of ScO2 after multiple perioperative influential factors could predict POCD in elderly patients undergoing total knee arthroplasty (TKA).

Methods

Seventy eight Patients aged more than 65 years undergoing elective TKA with intrathecal anesthesia were enrolled. Cognitive functions were assessed one day before and 6 days after surgery, and POCD were defined according to ISPOCD. Demographics were recorded. Perioperative ScO2, blood pressure (BP), blood gas analysis and other clinical data were monitored and recorded, then the decrease of ScO2, BP and PaO2 after influential factors were calculated.

Results

POCD occurred in 15 patients (19.2 %). BP decreased after anesthesia induction and tourniquet deflation, and PaO2 decreased after cement implantation, then percentage decrease of BP was higher in POCD group. ScO2 of POCD group is significantly lower than non-POCD group (P < 0.05), and the absolute value and percentage decrease of ScO2 became significant between two groups after multiple influential factors. ScO2 after all influential factors (anesthesia induction, cement implantation and tourniquet deflation) had the best predictive performance for POCD (AUC = 0.742), and the optimal threshold was 66.5 %.

Conclusions

Perioperative ScO2 of patients with POCD is lower than patients without POCD. ScO2 after multiple perioperative influential factors could be an effective predictor for POCD, which reveal an important role of ScO2 decrease in the development of POCD and provide possible treatment target.

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Background

Cerebral oxygen saturation (ScO2) represents mixed oxygen saturation of cerebral arterial and venous (25 and 75 %) [1], and provides the status of cerebral hemodynamics in multiple pathological processes [2, 3]. The level of ScO2 depends on the balance of cerebral oxygen supply and demand. Cerebral perfusion, arterial oxygen pressure and hemoglobin concentration affect cerebral oxygen supply [4], while anesthetic depth and body temperature affect cerebral oxygen demand [5]. In cardiac surgery, ScO2 decrease associates with cardiopulmonary bypass cannula malposition [6] and postoperative stroke [7], and optimizing cerebral oxygen delivery under ScO2 monitoring reduces the risk of stroke [8]. Furthermore, ScO2 decrease during cardiopulmonary bypass (CPB) associates with increased postoperative multiorgan dysfunction syndrome [9]. During non-cardiac surgery, ScO2 monitoring could also minimize brain exposure to hypoxia in elderly patients [10].

Postoperative cognitive dysfunction (POCD) is a frequent complication in elderly patients undergoing major non-cardiac surgery [11, 12], and could be a manifestation of transient or permanent cerebral injury. The etiology of POCD is unclear but likely involves a combination of patient, surgical, and anesthetic factors. ScO2 decrease may associate with POCD, but previous studies commonly focused on cardiac surgery [13, 14], which means the ScO2 results could be affected by CPB. Total knee arthroplasty (TKA) is among the most common major non-cardiac surgeries performed on elderly population [15], and in previous studies with TKA, general anesthesia was commonly performed [16, 17], so the ScO2 data could be affected by mechanical ventilation and general anesthetics.

The present study was designed to elucidate the relationship between perioperative ScO2 and POCD in elderly patients undergoing TKA. The intrathecal anesthesia was selected to avoid the impact of mechanical ventilation and general anesthetics and provide the relatively physiological status of ScO2 in elderly patients. Furthermore, we observed the possible perioperative influential factors and their impacts on ScO2, and verified the hypothesis that ScO2 after multiple influential factors could predict the occurrence of POCD.

Methods

The present study was approved by Peking university third hospital medical ethics committee (No. IRB00006761). Patients aged more than 65 years undergoing elective TKA between October 20, 2014 and March 31, 2015 were enrolled in study group, and written informed consent was obtained from each patient. Exclusion criterion included psychiatric disorder, central nervous system disease, carotid stenosis, history of craniotomy, use of sedatives or antipsychotics, drug or alcohol dependence, visual, auditory or motor disability, and preoperative mini-mental state examination (MMSE) score less than 24.

Neuropsychological tests were administered one day before and 6 days after surgery in study group by the same physician, to characterize postoperative cognitive dysfunction. The test battery encompassed MMSE, digital span test, word recognition memory test, digit symbol substitution test, trail making test A, stroop color word interference (part 3) and verbal fluency test, which primarily focused on learning, memory, attention, concentration and executive function.

Then 20 healthy subjects were recruited as control group that matched the age, gender and education level of study group. Cognitive functions were assessed two times with 7 days interval, and the standard deviation of baseline score were calculated. Learning effects, which exist in reduplicative neuropsychological tests [18], were also calculated as mean variation of the second assessments from baselines.

The patients in study group were divided into non-POCD and POCD groups according to the international study of postoperative cognitive dysfunction (ISPOCD) [11, 18]. Specifically, from each neuropsychological test score, baseline score and learning effect were subtracted, and then the difference was divided by the standard deviation of baseline score in control group. The magnitude of result was called Z score, and patients with at least two Z scores > 2 were assigned into POCD group.

In study group, a cannula was inserted in radial artery upon arrival at the operation room, then arterial blood pressure (BP), ECG, SpO2 and body temperature were monitored and maintained within physiological range. Spinal anesthesia was induced in L2–3 or L3–4 vertebra interspace, 0.15 mg/kg bupivacaine was administered with upper sensory blockade at T8–10. During anesthetic procedure, no sedative was provided. Arterial blood gas analysis results were recorded prior to bone cement implantation, and 5 min after. Fluid infusion and blood loss quantity, and surgical duration were also recorded. Percentage decreases of BP after anesthesia induction and tourniquet deflation, and PaO2 after bone cement implantation were calculated. After operation, continuous femoral nerve analgesia was performed.

Two sensors of FORE-SIGHT cerebral oximeter (near-infrared spectroscopy (NIRS) oximeter, CAS Medical Systems, Branford, CT) were placed on the left and right sides of the forehead for continuous ScO2 monitoring until the end of anesthesia. ScO2 was the average of left and right monitoring data. ScO2 before induction (T1), 10 min and 20 min after induction (T2 and T3), 10 min and 20 min after bone cement implantation (T4 and T5), and 10 min after tourniquet deflation (T6) were recorded respectively. Average ScO2 before induction (during 10 min) were regarded as the baseline value. Average ScO2 in 20 min after induction, in 20 min after bone cement implantation and in 10 min after tourniquet deflation were calculated, and their percentage decreases from baseline were calculated. Average ScO2 during anesthesia and minimum ScO2 were also recorded.

Statistical analysis

As estimated with PASS (version 8.03, NCSS LLC, Kaysville, UT), a sample size of 70 patients would be sufficient to detect a difference in average ScO2 after multiple perioperative factors between non-POCD and POCD groups with a power of 0.9 and a significance level of 0.05. According to the criterion of ISPOCD, patients were divided into non-POCD and POCD groups. Continuous variables were expressed as mean ± SD and analyzed with paired t-test within group and independent t-test between groups. Categorical variables were expressed as numbers (percentages) and analyzed with chi-square test. ScO2 during operation was analyzed with two-way repeated-measures ANOVA. Receiver-operator characteristic (ROC) curves were generated to assess the predictive performance of ScO2 on the occurrence of POCD. Multivariate logistic regression model was used to determine independent risk factors of POCD. Data were analyzed with SPSS (version 21.0, IBM Corp, New York, NY). P < 0.05 was regarded as statistically significant.

Results

A total of 80 patients were enrolled in the study. Two patients were excluded from the study, among which one failed to complete neuropsychological tests and the other experienced postoperative infection. As illustrated in Table 1, there was no difference between study and control groups in age, gender, BMI, education, drinking, smoking and baseline MMSE scores. Neuropsychological test results of control group are summarized in Table 2. According to the criterion of ISPOCD, POCD occurred in 15 patients (19.2 %). Table 3 illustrates demographic and clinical characteristics of non-POCD and POCD groups. With tourniquet inflation, intraoperative blood losses were less than 20 ml, and body temperature was maintained within physiological range. Thus, these data have not been shown. The age of POCD group is significantly higher than non-POCD group (P < 0.01), and there is no significant difference between two groups in other demographics, hemoglobin concentration, ASA classification, surgical duration and fluid transfusion.

Table 1 Demographic of control and study groups
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Table 2 Neuropsychological test scores of control group on baseline and second assessment day (7 days later)
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Table 3 Demographic and clinical characteristics of non-POCD and POCD groups
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Neuropsychological test results of non-POCD and POCD groups are summarized in Table 4. Postoperative MMSE, digital span test, word recognition memory test, stroop color word interference (part 3) and verbal fluency test scores of POCD group were significantly lower than non-POCD group (P < 0.01), but there was no significant difference in digit symbol substitution test and trail making test A. Postoperative MMSE, digital span test, word recognition memory test, trail making test A, stroop color word interference (part 3) and verbal fluency test scores of POCD group were significantly lower than baseline in POCD group (P < 0.05 or P < 0.01), but there was no significant difference in digit symbol substitution test and in non-POCD group.

Table 4 Neuropsychological test scores of non-POCD and POCD groups before and 6 days after surgery
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BP and PaO2 fluctuation of non-POCD group and POCD group are summarized in Table 5. Compared with baseline (before anesthesia induction and tourniquet deflation), BP after anesthesia induction and tourniquet deflation decreased significantly (P < 0.01), and the percentage decreases of POCD group were significantly higher than non-POCD group (P < 0.05 or P < 0.01). Compared with baseline (before cement implantation), PaO2 after cement implantation decreased significantly (P < 0.01), but there was no significant difference in percentage decrease between non-POCD and POCD groups.

Table 5 BP and PaO2 decrease of non-POCD and POCD groups
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Two-way repeated-measures ANOVA shows that ScO2 decreased significantly during anesthesia (P < 0.01). ScO2 of POCD group was significantly lower than non-POCD group (P < 0.05), and time × group interaction was significant (P < 0.01, Fig. 1). The average ScO2 after anesthesia induction, cement implantation and tourniquet deflation and their percentage decreases from baseline (before anesthesia induction) was calculated. There was no significant difference in baseline ScO2. After anesthesia induction, there was also no significant difference between two groups, but with accumulative effects of multiple influential factors, there were significant differences in absolute values and percentage decreases of ScO2 between two groups after cement implantation (P < 0.05) and tourniquet deflation (P < 0.01, Table 6 and Fig. 2). Besides, there was no significant difference in average ScO2 during anesthesia, and minimum ScO2 of POCD group was significantly lower than non-POCD group (P < 0.05, Table 6).

Fig. 1
figure 1

ScO2 during anesthesia of non-POCD and POCD groups. ScO2 decreased during anesthesia, and ScO2 of POCD group was significantly lower than non-POCD group (P < 0.05). T1-6: before induction, 10 min and 20 min after anesthesia induction, 10 min and 20 min after cement implantation, and 10 min after tourniquet deflation

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Table 6 Baseline, average and minimum ScO2 of non-POCD and POCD groups
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Fig. 2
figure 2

Percentage decreases of ScO2 in non-POCD and POCD groups after anesthesia induction, cement implantation and tourniquet deflation. *P < 0.05, **P < 0.01 in comparison with non-POCD group

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There were significant differences in minimum ScO2, average ScO2 after cement implantation and tourniquet deflation between non-POCD and POCD groups. Therefore, ROC curves were generated to compare their predictive performances on the occurrence of POCD, and the areas under ROC curves (AUC) were 0.686 (P < 0.05), 0.707 (P < 0.05) and 0.742 (P < 0.01) respectively, which indicated average ScO2 after tourniquet deflation as the best predictor. Its optimal threshold for POCD detection was 66.5 %, with sensitivity and specificity were 73.3 and 58.7 % respectively (Fig. 3). The multivariate logistic regression determined that higher age (P < 0.05, OR = 1.221) and lower average ScO2 after tourniquet deflation (P < 0.05, OR = 0.835) were independent predictors of POCD.

Fig. 3
figure 3

Receiver-operator characteristic (ROC) curve for average ScO2 after tourniquet deflation to predict the occurrence of POCD. The area under ROC curve is 0.742, which is significantly different from random chance (P < 0.01). The optimal threshold for POCD detection is 66.5 %, with sensitivity and specificity are 73.3 and 58.7 % respectively

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Discussion

The present results indicated that ScO2 of patients with POCD was lower than patients without POCD undergoing TKA with intrathecal anesthesia. Two previous studies on the relationship between ScO2 and POCD in TKA were performed with general anesthesia [16, 17], in which its ScO2 data could be affected by mechanical ventilation and general anesthetics, and was far from the physiological status of ScO2 in elderly patients. Another study on TKA with intrathecal anesthesia indicated that a trend of asymmetry in ScO2 could warn POCD [19]. Thus, we firstly revealed the relationship between perioperative ScO2 and the occurrence of POCD in TKA with intrathecal anesthesia.

TKA is among the most common major non-cardiac surgeries performed on the elderly population [15], and the prevalence of POCD after TKA is high, which has been reported as 19.4–72.0 % at one week and 6.5–29.5 % at 6 months postoperatively [20–22]. In the present study, POCD occurred in 19.2 % elderly patients undergoing TKA, and older patients had higher occurrence of POCD.

ScO2, estimated by NIRS light attenuation (wavelengths for oxyhemoglobin and deoxyhemoglobin) during cerebral tissue transmition [23], is a sensitive marker for cerebral hypoperfusion during major surgeries [24] and cardiac arrest [25, 26]. Low baseline and intraoperative ScO2 correlated with increased postoperative morbidity and mortality, as well as prolonged hospital stay [27, 28]. Factors affecting cerebral perfusion could result in ScO2 decrease [29], and correlation has been reported between ScO2 and transcranial Doppler, which indicates that ScO2 decrease could also predict cerebral ischemia [30, 31].

The etiology of cerebral oxygen desaturation is multifactorial, and the most commonly reported perioperative factor is embolism and hypoperfusion related to CPB [32]. In the present study, three influential factors including induction of spinal anesthesia, bone cement implantation and tourniquet deflation were observed. BP and ScO2 decreased after anesthesia induction and tourniquet deflation, and PaO2 and ScO2 decreased after cement implantation. Furthermore, with the accumulative effects of multiple influential factors, patients with POCD showed lower ScO2 and higher decrease percentage from baseline level, compared with patients without POCD.

Atallah et al. [33] observed cerebral perfusion decrease and oxygen desaturation after spinal anesthesia in TURP patients, and speculate that cerebral oxygen desaturation contribute to TURP syndrome including yawning, irritability and nausea. In the present study, spinal anesthesia could also contribute to ScO2 decrease. Bone cement implantation syndrome (BCIS) is originated from cement related embolization and anaphylaxis, and characterized by clinical features including hypoxia, hypotension, pulmonary pressure increase and cardiac arrest [34]. BCIS and related cerebral microembolism could emerge during TKA [35]. After tourniquet deflation, cement, fat and bone related embolization could also emerge [36]. In the present study, no typical BCIS was observed, but PaO2 decreased after cement implantation and BP decreased after tourniquet deflation, which might relate to multiple embolisms and contribute to ScO2 decrease.

As there was no difference in other influential factors including hemoglobin and temperature, we considered anesthesia induction, cement implantation and tourniquet deflation as major influential factors of ScO2 fluctuation during TKA. The strategies to treat ScO2 decrease during TKA could comprise head reposition, PaCO2 and BP elevation, vasodilation and blood transfusion, however, their effects need further investigations. During cardiac surgery, interventions also comprise perfusion cannulae and pump flow rate adjustment, temperature reduction and anesthetic depth adjustment, and these interventions could decrease the occurrence of POCD and length of hospital stay [37].

Fudickar et al. [38] use minimum ScO2 to predict the occurrence of POCD, but only found week predictive performance (AUC = 0.61), while we found that ScO2 after multiple influential factors had better discriminatory power for POCD. ScO2 less than 50 % or decrease 20 % from baseline during carotid endarterectomy indicated focal cerebral ischemia [39], and were commonly regarded as safe limits of ScO2 and chosen as the low limits in the present study. Once low ScO2 appeared, interventions including BP elevation and fluid infusion were performed, which could be responsible for the week predictive performance of minimum ScO2. As ScO2 after all influential factors had best predictive performance, its optimal threshold for POCD detection was determined. A relatively higher sensitivity was selected considering patients safety, and the result is that actively maintaining ScO2 after all influential factors above 66.5 % in elderly patients could decrease the prevalence of POCD.

Hypoxia could impair neuronal protein synthesis and synaptic plasticity [40], and link to learning and memory impairment [41]. Exposure to hypoxia triggers hypoxia-inducible factor (HIF) [42] and prolyl hydroxylases family [43], which affect cell survival. Effective hypoxia sensing are critical for cell and organ function, while HIF, endothelin-1, heme oxygenase and tyrosine hydroxylase all involve in the regulation of brain hypoxia [44]. As aging cells have decreased hypoxic response and cytoprotection including HIF response [45], elderly patients may be more susceptible to brain hypoxia. Considering the present results, as well as above-mentioned mechanisms, we infer that cerebral hypoxia and related mechanism are among the major mechanisms responsible for the occurrence of POCD.

Although ScO2 provided by NIRS has been demonstrated valuable during multiple circumstances, it still has limitations. Firstly, NIRS oximeters were put on forehead and reflected the condition of superficial cerebral cortex, so it might miss embolism, hypoperfusion and desaturation far from superficial cortex [46]. Secondly, Neurotoxicity such as neuroinflammation and Aβ generation also contribute to POCD [47–49], which affect the predictive performance of ScO2. Thirdly, even if absolute value of 50 and 80 % of baseline were regarded as safe limits for ScO2 to prevent cerebral ischemia, cognitive dysfunction were still observed in the present and previous studies [13]. Thus, these limits of ScO2 are not adequate, and our results indicated that 66.5 % could be a better limit for ScO2 to avoid POCD. Finally, we have not performed transesophageal echocardiographic assessment. As BCIS and other factors related cardiac dysfunction are not uncommon and could affect cerebral oxygen supply, echocardiography could be valuable in TKA and should be performed in the future study.

Conclusion

The present study indicates that the incidence of POCD in elderly patients undergoing TKA with intrathecal anesthesia is 19.2 %. Perioperative ScO2 of patients with POCD is lower than patients without POCD, and ScO2 after multiple perioperative influential factors could be an effective predictor for the occurrence of POCD. These results reveal an important role of ScO2 decrease in the development of POCD, and provide a convenient monitoring method and possible treatment target.

Abbreviations

ScO2:

Cerebral oxygen saturation

POCD:

Postoperative cognitive dysfunction

CPB:

Cardiopulmonary bypass

TKA:

Total knee arthroplasty

MMSE:

Mini-mental state examination

ISPOCD:

International study of postoperative cognitive dysfunction

ROC curve:

Receiver-operator characteristic curve

AUC:

Area under ROC curve

NIRS:

Near-infrared spectroscopy

BCIS:

Bone cement implantation syndrome

HIF:

Hypoxia-inducible factor

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Acknowledgments

The present study was supported by Capital Foundation for Medical Research and Development (No. 2011-4023-04), and the National Natural Science Foundation Of China (No. 81400869). The authors thank Joey Jaw M.D. (Department of General surgery, Peking University Third Hospital) for his critical editing of the manuscript.

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Authors and Affiliations

  1. Department of Anesthesiology, Peking University Third Hospital, Beijing, 100191, China

    Cheng Ni, Ting Xu, Yang Tian, Yongzheng Han, Min Li & Xiangyang Guo

  2. Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, 100191, China

    Nan Li

  3. Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China

    Qingsheng Xue

Authors
  1. Cheng Ni
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  2. Ting Xu
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  3. Nan Li
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  4. Yang Tian
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  6. Qingsheng Xue
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  7. Min Li
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  8. Xiangyang Guo
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Correspondence to Xiangyang Guo.

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Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

CN and XG designed and coordinated the study, recruited the patients, collected and interpreted data, and drafted the manuscript. ML and QX participated in study design, TX performed cognitive function evaluations, NL analyzed the data and performed statistical analysis, YT and YH participated in patient recruitment and data collection. All authors discussed the results, read and approved the final manuscript.

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Ni, C., Xu, T., Li, N. et al. Cerebral oxygen saturation after multiple perioperative influential factors predicts the occurrence of postoperative cognitive dysfunction. BMC Anesthesiol 15, 156 (2015). https://doi.org/10.1186/s12871-015-0117-6

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Keywords

BMC Anesthesiology

ISSN: 1471-2253

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