Secondary Logo

Share this article on:

Best Practices for Postoperative Brain Health

Recommendations From the Fifth International Perioperative Neurotoxicity Working Group

Berger, Miles, MD, PhD*; Schenning, Katie J., MD, MPH; Brown, Charles H. IV, MD, MHS; Deiner, Stacie G., MD§; Whittington, Robert A., MD; Eckenhoff, Roderic G., MD; Angst, Martin S.; Avramescu, Sinziana; Bekker, Alex; Brzezinski, Marek; Crosby, Greg; Culley, Deborah J.; Eckenhoff, Maryellen; Eriksson, Lars I.; Evered, Lis; Ibinson, Jim; Kline, Richard P.; Kofke, Andy; Ma, Daqing; Mathew, Joseph P.; Maze, Mervyn; Orser, Beverley A.; Price, Catherine C.; Scott, David A.; Silbert, Brendan; Su, Diansan; Terrando, Niccolo; Wang, Dian-Shi; Wei, Huafeng; Xie, Zhoncong; Zuo, Zhiyi for the Perioperative Neurotoxicity Working Group

doi: 10.1213/ANE.0000000000003841
Neuroscience and Neuroanesthesiology: Narrative Review Article

As part of the American Society of Anesthesiology Brain Health Initiative goal of improving perioperative brain health for older patients, over 30 experts met at the fifth International Perioperative Neurotoxicity Workshop in San Francisco, CA, in May 2016, to discuss best practices for optimizing perioperative brain health in older adults (ie, >65 years of age). The objective of this workshop was to discuss and develop consensus solutions to improve patient management and outcomes and to discuss what older adults should be told (and by whom) about postoperative brain health risks. Thus, the workshop was provider and patient oriented as well as solution focused rather than etiology focused. For those areas in which we determined that there were limited evidence-based recommendations, we identified knowledge gaps and the types of scientific knowledge and investigations needed to direct future best practice. Because concerns about perioperative neurocognitive injury in pediatric patients are already being addressed by the SmartTots initiative, our workshop discussion (and thus this article) focuses specifically on perioperative cognition in older adults. The 2 main perioperative cognitive disorders that have been studied to date are postoperative delirium and cognitive dysfunction. Postoperative delirium is a syndrome of fluctuating changes in attention and level of consciousness that occurs in 20%–40% of patients >60 years of age after major surgery and inpatient hospitalization. Many older surgical patients also develop postoperative cognitive deficits that typically last for weeks to months, thus referred to as postoperative cognitive dysfunction. Because of the heterogeneity of different tools and thresholds used to assess and define these disorders at varying points in time after anesthesia and surgery, a recent article has proposed a new recommended nomenclature for these perioperative neurocognitive disorders. Our discussion about this topic was organized around 4 key issues: preprocedure consent, preoperative cognitive assessment, intraoperative management, and postoperative follow-up. These 4 issues also form the structure of this document. Multiple viewpoints were presented by participants and discussed at this in-person meeting, and the overall group consensus from these discussions was then drafted by a smaller writing group (the 6 primary authors of this article) into this manuscript. Of course, further studies have appeared since the workshop, which the writing group has incorporated where appropriate. All participants from this in-person meeting then had the opportunity to review, edit, and approve this final manuscript; 1 participant did not approve the final manuscript and asked for his/her name to be removed.

From the *Anesthesiology Department, Duke University Medical Center, Durham, North Carolina

Department of Anesthesiology and Perioperative Medicine, Oregon Health & Science University, Portland, Oregon

Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland

§Anesthesiology Department, Icahn School of Medicine at Mount Sinai, New York, New York

Department of Anesthesiology, Columbia University Medical Center, New York, New York

Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Published ahead of print 27 August 2018.

Accepted for publication August 27, 2018.

Funding: This workshop was sponsored by the American Society of Anesthesiology Brain Health Initiative, the Society for Neuroscience in Anesthesiology and Critical Care, Baxter, and Pfizer. M.B. acknowledges receiving private consulting income from a legal case regarding postoperative cognitive function in an older adult and material support (ie, monitors) from Masimo for a research study. C.H.B. has consulted for and has a data share agreement with Medtronic. M.B. acknowledges support from National Institute on Aging (NIA) K76 AG057020 (and additional support from R03-AG050918 and P30AG028716), K.J.S. from National Institutes of Health (NIH) K12 HD043488 and an Alzheimer’s Association Clinician Scientist Fellowship, C.H.B. from NIA K76 AG057020, S.G.D. from NIA K23 AG048332 and the American Foundation for Aging Research, R.A.W. from NIH 2R01GM101698, and R.G.E. from National Institute of General Medical Sciences P01 55876.

All collaborators participated in the Best Practices Discussion at the 2016 International Perioperative Neurotoxicity Working Group meeting and helped edit the manuscript. The 2016 Perioperative Neurotoxicity Working group are also listed in Appendix.

The authors declare no conflicts of interest.

Reprints will not be available from the authors.

Address correspondence to Miles Berger, MD, PhD, Anesthesiology Department, Duke University Medical Center, 4317 Duke S Orange Zone, Durham, NC 27710. Address e-mail to Miles.berger@duke.edu.

Back to Top | Article Outline

CONSENT

Although international and regional practices regarding consent may vary, there was widespread agreement that older patients should be informed about perioperative neurocognitive disorder (PND) risks as part of the informed consent for anesthesia and/or surgery for 4 reasons.1–3 First, the risks of PND are orders of magnitude more common than other risks about which anesthesiologists and surgeons consent patients, such as intraoperative mortality and intraoperative awareness with explicit recall.4–6 Further, current consent discussions include other perioperative risks that we do not currently have the ability to prevent in all cases, such as postoperative stroke or myocardial infarction. Second, consenting patients about the risks of PND gives them and their families a realistic impression of their possible postoperative recovery course, and what their cognitive state may be in the days, weeks, and months after anesthesia and surgery. Third, educating patients about these risks can allow patients to plan effectively so they can either make important cognitively demanding decisions before anesthesia and surgery or delay making these decisions until several months afterward. Fourth, informing patients of these risks could help facilitate planning for measures to mitigate the risk of PND, such as encouraging family engagement and promoting early mobility.

Although there was some disagreement about this point, the majority of meeting participants thought that both anesthesiologists and surgeons should discuss these risks with patients, for 3 specific reasons. First, both anesthesia and surgery are thought to contribute to postoperative delirium and/or cognitive dysfunction.1 , 2 , 7 Second, there is an emerging movement toward multidisciplinary “team” medicine (including surgeons, anesthesiologists, geriatricians, and others) and joint decision making regarding perioperative care (including consent discussions) in older patients.8 Further, surgical and anesthetic “risks” are now understood to mean not only acute intraoperative risks such as bleeding but also longer-term “risks” such as PND (and their sequelae).

Another related question is when these consent discussions about PND risks should occur. Ideally such discussions should take place well before the day of surgery so that patients have the chance to learn about these risks in a nonpressured environment and have time to clarify any issues and ask questions. This is obviously challenging in the present environment, in which, many times, patients may not see their anesthesiologist before the day of surgery, and many consent discussions for both surgery and anesthesia occur on the day of surgery (and often in the hours or minutes beforehand).

Back to Top | Article Outline

Consensus Statement

“All patients over age 65 should be informed of the risks of PND including confusion, inattention, and memory problems after having an operation.”

Back to Top | Article Outline

PREOPERATIVE NEUROCOGNITIVE ASSESSMENT

Preoperative cognitive impairment is a strong, preexisting risk factor for PND,9–12 thus raising the question of whether a patient’s cognitive function should be evaluated before surgery. The assessment of cognitive capacity is also important as the premise underlying informed consent is the presumed ability of patients to receive and process information, to ask questions, and to make an informed decision regarding their care. Anesthesiologists currently assess numerous other organ systems as part of routine preoperative evaluations via medical history, physical examination, and laboratory studies (Table 1). Because the central nervous system (CNS) is the target organ of nearly all anesthetic and analgesic drugs and CNS dysfunction plays a central role in PND,1 , 2 it makes intuitive sense to assess the CNS before dramatically altering its function with anesthetic drugs. Further, assessing baseline cognitive function before surgery could help allow patient stratification for PND risk so that resources and interventions (such as intraoperative protocols to prevent PND) can be targeted at high-risk patients, similar to the way anesthesiologists stratify patients based on the function of other organ systems (such as New York Heart Association status or model for end stage liver disease [MELD] scores). Because many age-related comorbidities (eg, hypertension, diabetes mellitus, and obstructive sleep apnea13) also increase the risk of cognitive impairment even outside the perioperative setting, it is particularly important to assess cognition in older adults and in any patient with these comorbid conditions. Identifying patients with mild preoperative cognitive impairments (and who are at increased PND risk), but who still retain decision-making capacity, could allow discussions with these patients about PND risk. These preoperative discussions could help patients at increased PND risk plan ahead, such as by making important decisions before surgery or delaying them until several weeks or months after surgery.

Table 1

Table 1

However, assessing baseline CNS function is complex because of the wide variety of cognitive processes performed by the brain. It is also neither practical nor appropriate to conduct a lengthy neuropsychological assessment during a routine preoperative clinic visit. Nonetheless, brief cognitive screening tests (see Table 2 for a brief, nonexhaustive list) are feasible to use in the preoperative screening clinic14 and can help detect cognitive impairment and thereby identify patients at increased risk of postoperative complications.14 , 30 Future studies should compare feasibility, predictive power, and clinical usefulness of these various brief cognitive screening tests, to help determine which is the most useful in the perioperative setting. In the meantime, using any of these tests can help identify a subset of patients who could be referred for more detailed preoperative neurocognitive assessment. Similarly, patients with subjective cognitive complaints could also be referred for a more extensive workup, just as anesthesiologists only order cardiac stress tests on a small subset of surgical patients.

Table 2

Table 2

Identifying patients with preoperative cognitive impairment could also help target these high-risk patients for interventions to minimize PND. Such interventions might include improvement of sleep and nutrition hygiene, avoidance of specific drugs, specific intraoperative management strategies31 (see below), rapid return of glasses and hearing aids, and family engagement and orientation strategies.32 Identifying at-risk patients for these targeted interventions may reduce the risk of PND by up to 40%.31 , 32 Further, if anesthetic management strategies are identified that make PND less likely, then these strategies may become the default approach for all elderly patients.

Back to Top | Article Outline

Consensus Statement

“Baseline cognition should be objectively evaluated with a brief screening tool during preoperative evaluation in all patients over the age of 65 and in any patient with risk factors for preexisting cognitive impairment.”

Back to Top | Article Outline

INTRAOPERATIVE MANAGEMENT

Table 3

Table 3

Numerous studies have demonstrated that specific intraoperative anesthetic or physiologic variables are associated with increased risk for certain types of PND (such as delirium or postoperative cognitive dysfunction [POCD]), and some studies have suggested that the use of specific drugs, techniques, or monitors may alter the risk of these disorders. The meeting participants uniformly agreed that the current literature is insufficient to recommend any particular anesthetic to reduce PND risk in older adults. Nonetheless, there was widespread agreement that the medications listed in Table 3 should be used cautiously or even avoided in older patients, given their known propensity to contribute to PND and/or other forms of cognitive dysfunction in older adults outside the perioperative care setting.

Back to Top | Article Outline

Anesthetic Drugs

There is little evidence that any particular volatile anesthetic agent is associated with an altered risk of PND. Nonetheless, there are clearly age-dependent changes in volatile anesthetic sensitivity. The minimum alveolar concentration (MAC) of a volatile anesthetic necessary to prevent movement in response to surgical incision in 50% of patients declines by ≈6% per decade after 30 years of age.34 , 35 Because volatile anesthetics have one of the narrowest therapeutic indices of any drug used in modern medicine,36 , 37 avoiding volatile anesthetic overdose by closely monitoring the age-adjusted MAC fraction is critical to avoid side effects of these drugs38 and may even help to lower delirium rates.31 , 39 For example, in the cognitive dysfunction after anesthesia (CODA) trial, a 39% decrease in the age-adjusted end-tidal MAC fraction (ie, the inhaled anesthetic dose received by patients) was associated with a 31% reduction in cognitive dysfunction at 3 months after surgery and 35% reduction in postoperative delirium.31 Thus, there was widespread agreement among the participants that anesthesiologists should use age-adjusted MAC fraction in older adults to adjust end-tidal volatile anesthetic concentration during surgery, which at least provides a population-derived starting point for dosing inhaled anesthetics.

Similarly, it may seem intuitive that using a regional anesthetic technique or nerve block to either complement or replace a general anesthetic could help decrease systemic anesthetic administration and thereby might lower the incidence of PND. Yet, this intuition is largely unsupported by data because the majority of studies that have examined this issue have not found an increased risk of delirium or POCD after general as compared to regional anesthesia.40–42 However, many of these studies were confounded by the administration of high doses of intravenous sedatives in the regional anesthesia groups. In fact, many patients in the regional anesthesia groups in these studies may have actually been in a state of general anesthesia from a neuroscience perspective (ie, the patient was sufficiently unconscious during a regional technique as if he/she were receiving general anesthesia). Nonetheless, even in 1 randomized controlled trial that rigorously ensured that patients in the regional group did not receive any intravenous sedation, there was still no difference in delirium rates among the regional versus the general anesthesia groups.42 Thus, the current literature does not support the recommendation that a regional anesthetic technique should be used in place of (or in addition to) general anesthesia to reduce delirium or PND rates. Similarly, a number of studies have examined whether using specific drugs to maintain general anesthesia affect the rates of various types of PND, but no clear consensus recommendations have emerged from these studies.43–49

Back to Top | Article Outline

Intraoperative EEG Monitoring and Anesthetic Titration

Several studies have also examined whether anesthetic titration in response to processed electroencephalography (EEG) monitoring might lower the risk of delirium or POCD. Two studies have found a statistically significant decrease in delirium rates when anesthetic “depth” was titrated based on monitoring with the Bispectral Index (BIS; Medtronic, Minneapolis, MN) monitor (a processed EEG monitor).31 , 39 Four studies have examined the use of processed EEG monitoring with BIS for POCD prevention, and the results have been mixed. One study found lower POCD rates 3 months after surgery in patients who underwent BIS monitoring,31 a second study found no effect,39 and 2 other studies conversely found that patients with lower processed EEG values actually had improved cognition50 or lower rates of delirium and POCD.51

However, the BIS monitor uses a proprietary algorithm and has never been specifically validated for use in older adults. Recent theoretical52 and empirical work53 suggests that the BIS algorithm may report erroneously high values in most older adults (which could then lead providers to administer unnecessarily high anesthetic dosage in older patients) and may also report lower than normal values in patients with preexisting cognitive impairment or dementia.54 , 55 Further, there is a roughly flat relationship between end-tidal age-adjusted volatile anesthetic concentrations and BIS values over the clinically used range of volatile anesthetics (ie, 0.5–1.5 MAC).53,56 This roughly flat relationship between MAC fraction and BIS values, and the other issues with the BIS discussed above, suggests that titrating anesthetic concentration to the BIS number may be challenging in older adults. This point may explain the lack of large anesthetic dosage differences between patients in the BIS-guided versus BIS-blinded arms of some of the studies discussed above.39

Table 4

Table 4

Taken altogether, this literature raises doubt as to the use of currently available processed EEG monitors to prevent delirium or POCD. Nevertheless, several retrospective studies have found an association between raw EEG signal parameters (such as burst suppression, a state of intermittent electrical brain silence) and postoperative delirium,57 , 58 which raises the possibility that either titrating anesthetic delivery to avoid burst suppression or in response to other raw EEG parameters59 (such as those discussed at icetap.org and eegforanesthesia.iars.org) could help reduce the risk of delirium or POCD. Several current studies are examining this possibility60–62; the results of these studies may provide further guidance on how raw EEG-based anesthetic titration might help lower the rates of PND and improve postoperative cognitive function. While there are clearly challenges in the use of current processed EEG monitors, EEG-based anesthetic titration has nonetheless been shown to lower delirium and POCD rates in multiple independent randomized controlled trials (ie, level 1 evidence). Thus, there is strong support for the general principle of EEG-based anesthetic titration to reduce PND rates in older adults (Table 4).

Back to Top | Article Outline

Anesthetic/Surgical Physiology

There was a general consensus to avoid intraoperative hypotension (using parameters relative to each patient’s baseline blood pressure), largely with a goal of maintaining cerebral perfusion. Several studies have found an association between intraoperative hypotension and increased incidence of delirium or cognitive change63–65 after surgery, although other studies have found conflicting evidence.66 , 67 However, different studies have used different thresholds to define hypotension; a systematic review found over 140 different definitions for hypotension in the literature.68 This ambiguity highlights the potential importance of defining hypotension based on individualized patient monitoring rather than population cutoffs. Furthermore, there is a right shift in the cerebral autoregulation curve in patients with chronic hypertension, and because many older patients have chronic hypertension, it is important to titrate blood pressure parameters relative to each patient’s baseline blood pressure while considering head height relative to the blood pressure monitoring site.

Near-infrared spectroscopy (NIRS) is commonly used during cardiac surgery as a real-time continuous monitor of cerebral perfusion. In several studies, an intraoperative decline in NIRS values has been associated with postoperative delirium and/or cognitive change.69 , 70 However, general limitations of these studies include small size, short follow-up, and inconsistent results.71 One randomized study examined the benefit of an intervention protocol based on NIRS values and demonstrated an improvement in major morbidity and mortality in cardiac surgery patients in the intervention arm.72 Importantly, cognitive outcomes were not measured, and these results72 have not been reproduced. However, 2 pilot trials have established feasibility for future, large randomized controlled trials using NIRS to reduce PND,73 , 74 and another study found that the combination of BIS-based and cerebral oximetry–based anesthetic titration reduced POCD in older adults.75 Overall, though, the meeting participants thought that the evidence in support of NIRS to reduce PND was less strong than the evidence in support of EEG-based anesthetic titration to reduce PND.

An alternative method of measuring cerebral perfusion is real-time monitoring of cerebral autoregulation, which can be used to maintain mean arterial pressure above the lower limit of cerebral autoregulation. In patients with traumatic brain injury, deviations of blood pressure above or below the limits of autoregulation have been associated with poor neurological outcomes.76 An investigation in a cardiac surgery population demonstrated that the mean arterial pressure at the lower limit of autoregulation varied widely and could not be predicted using patient variables.77 Further, deviations of blood pressure below the lower limit of autoregulation during cardiac surgery have been associated with both acute kidney injury78 and major morbidity and mortality,79 while deviations above the upper limit of autoregulation have been associated with delirium.80 Together, these results underscore the need for individualized monitoring of cerebral perfusion, and the need for further studies to elucidate the effect of reduced cerebral perfusion on neurocognitive outcomes.

Back to Top | Article Outline

Consensus Statement

“Anesthesiologists should monitor age-adjusted end-tidal MAC fraction, strive to optimize cerebral perfusion, and perform EEG-based anesthetic management in older adults. Further research is needed to evaluate and compare specific brain function monitors, methods, and approaches.”

Back to Top | Article Outline

POSTOPERATIVE FOLLOW-UP AND MANAGEMENT

Although it is clear that many of our older patients will experience PND after intraoperative care, there was little consensus on who should follow these patients and/or manage these problems in the postoperative period. Outside the pain clinic or intensive care unit settings, most anesthesiologists only see their postoperative patients a day or 2 after surgery for a brief postoperative check. Because many PND cases do not become clinically apparent until after this point (if at all), most anesthesiologists likely will remain unaware of these cognitive issues in their patients. Further, anesthesiologists are physicians who are primarily trained in acute intraoperative and perioperative management of surgical patients, and most anesthesiology residency programs do not cover the diagnosis or management of cognitive problems such as PND.

However, there was a widespread consensus among participants that we need more studies on how to optimize the postoperative care of these patients and how to best manage PND. Such studies should evaluate the efficacy, feasibility, and cost-effectiveness of multiple different strategies to assess outcomes, ranging from in-person clinic visits to telephone calls/telemedicine to automated electronic assessment tools (ranging from apps to automated phone calls), to both physical and cognitive exercise programs, sleep hygiene improvement, and/or drug treatment approaches. Further, because multiple other elements of postoperative recovery (such as pain, functional recovery, ability to exercise and resume activities, etc) also have delayed resolution, postoperative follow-up assessments should measure multiple domains of postoperative recovery in parallel. The recent development of standardized nomenclature and tools for postoperative outcome assessments can further aid in comparing outcome measures across studies, institutions, and even countries.81

Back to Top | Article Outline

Consensus Statement

“More studies are needed to evaluate the efficacy, feasibility, and cost-effectiveness of various strategies to assess short- and long-term cognitive outcomes after hospital discharge, to optimally manage these disorders, and to clarify who should follow patients after surgery for these disorders and what patients should be told about the current understanding regarding recovery from these disorders.”

Back to Top | Article Outline

CONCLUSIONS

PND are significant public health issues, over 16 million Americans over 60 years of age, undergo anesthesia and surgery each year, and studies suggest that >10%–40% of these patients will develop a form of PND after perioperative care.2 This suggests that each year there are likely over 1.6 million older Americans who suffer from PND, making these the most common postoperative complications in older adults. Our hope is that this summary of expert opinions, together with the additional studies called for here, can serve in the future as the basis for a more formalized set of evidence-based recommendations for minimizing the impact of PND and optimizing postoperative brain health. We also hope that the new standardized PND nomenclature will facilitate discussion of intermediate- versus long-term postoperative neurocognitive disorder risks for individual patients. This article is based on informal, in-person discussions and consensus at our 2016 meeting, and subsequent thorough review of this manuscript by participants at that 2016 meeting. Future recommendations and practice guidelines should be based on formal grading of the level of evidence and practical consideration of how these recommendations and guidelines can be incorporated into perioperative medicine practice.

Back to Top | Article Outline

DISCLOSURES

Name: Miles Berger, MD, PhD.

Contribution: This author helped moderate the Best Practices Discussion at the 2016 meeting, contribute the written content, and edit the manuscript.

Name: Katie J. Schenning, MD, MPH.

Contribution: This author helped participate the Best Practices Discussion at the 2016 meeting, contribute the written content, and edit the manuscript.

Name: Charles H. Brown IV, MD, MHS.

Contribution: This author helped participate the Best Practices Discussion at the 2016 meeting, contribute the written content, and edit the manuscript.

Name: Stacie G. Deiner, MD.

Contribution: This author helped participate the Best Practices Discussion at the 2016 meeting, contribute the written content, and edit the manuscript.

Name: Robert A. Whittington, MD.

Contribution: This author helped participate the Best Practices Discussion at the 2016 meeting, contribute the written content, and edit the manuscript.

Name: Roderic G. Eckenhoff, MD.

Contribution: This author helped organize the 2016 International Perioperative Neurotoxicity Working Group meeting, participate the Best Practices Discussion at this 2016 meeting, contribute the written content, and edit the manuscript.

This manuscript was handled by: Jean-Francois Pittet, MD.

Back to Top | Article Outline

APPENDIX

The following are members of The 2016 Perioperative Neurotoxicity Working group: Martin S. Angst, Sinziana Avramescu, Alex Bekker, Marek Brzezinski, Greg Crosby, Deborah J. Culley, Maryellen Eckenhoff, Lars I. Eriksson, Lis Evered, Jim Ibinson, Richard P. Kline, Andy Kofke, Daqing Ma, Joseph P. Mathew, Mervyn Maze, Beverley A. Orser, Catherine C. Price, David A. Scott, Brendan Silbert, Diansan Su, Niccolo Terrando, Dian-Shi Wang, Huafeng Wei, Zhoncong Xie, and Zhiyi Zuo.

Back to Top | Article Outline

REFERENCES

1. Schenning KJ, Deiner SG. Postoperative delirium in the geriatric patient. Anesthesiol Clin. 2015;33:505–516.
2. Berger M, Nadler JW, Browndyke J, et al. Postoperative cognitive dysfunction: minding the gaps in our knowledge of a common postoperative complication in the elderly. Anesthesiol Clin. 2015;33:517–550.
3. Evered L, Silbert B, Knopman DS, et al. Recommendations for the nomenclature of cognitive change associated with anaesthesia and surgery—2018. Anesthesiology. 2018;129:872–879.
4. Avidan MS, Mashour GA. The incidence of intraoperative awareness in the UK: under the rate or under the radar? Br J Anaesth. 2013;110:494–497.
5. Mashour GA, Kent C, Picton P, et al. Assessment of intraoperative awareness with explicit recall: a comparison of 2 methods. Anesth Analg. 2013;116:889–891.
6. Braz LG, Braz DG, Cruz DS, Fernandes LA, Módolo NS, Braz JR. Mortality in anesthesia: a systematic review. Clinics (Sao Paulo). 2009;64:999–1006.
7. Terrando N, Eriksson LI, Eckenhoff RG. Perioperative neurotoxicity in the elderly: summary of the 4th International Workshop. Anesth Analg. 2015;120:649–652.
8. Glance LG, Osler TM, Neuman MD. Redesigning surgical decision making for high-risk patients. N Engl J Med. 2014;370:1379–1381.
9. Silbert B, Evered L, Scott DA, et al. Preexisting cognitive impairment is associated with postoperative cognitive dysfunction after hip joint replacement surgery. Anesthesiology. 2015;122:1224–1234.
10. Greene NH, Attix DK, Weldon BC, Smith PJ, McDonagh DL, Monk TG. Measures of executive function and depression identify patients at risk for postoperative delirium. Anesthesiology. 2009;110:788–795.
11. Hatano Y, Narumoto J, Shibata K, et al. White-matter hyperintensities predict delirium after cardiac surgery. Am J Geriatr Psychiatry. 2013;21:938–945.
12. Lee HB, Mears SC, Rosenberg PB, Leoutsakos JM, Gottschalk A, Sieber FE. Predisposing factors for postoperative delirium after hip fracture repair in individuals with and without dementia. J Am Geriatr Soc. 2011;59:2306–2313.
13. Senaratna CV, Perret JL, Lodge CJ, et al. Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev. 2017;34:70–81.
14. Culley DJ, Flaherty D, Reddy S, et al. Preoperative cognitive stratification of older elective surgical patients: across-sectional study. Anesth Analg. 2016;123:186–192.
15. Dworkin A, Lee DS, An AR, Goodlin SJ. A simple tool to predict development of delirium after elective surgery. J Am Geriatr Soc. 2016;64:e149–e153.
16. Robinson TN, Raeburn CD, Tran ZV, Angles EM, Brenner LA, Moss M. Postoperative delirium in the elderly: risk factors and outcomes. Ann Surg. 2009;249:173–178.
17. Robinson TN, Wu DS, Pointer LF, Dunn CL, Moss M. Preoperative cognitive dysfunction is related to adverse postoperative outcomes in the elderly. J Am Coll Surg. 2012;215:12–17.
18. Lin JS, O’Connor E, Rossom RC, Perdue LA, Eckstrom E. Screening for cognitive impairment in older adults: a systematic review for the US preventive services task force. Ann Intern Med. 2013;159:601–612.
19. Aykut K, Albayrak G, Guzeloglu M, Baysak A, Hazan E. Preoperative mild cognitive dysfunction predicts pulmonary complications after coronary artery bypass graft surgery. J Cardiothorac Vasc Anesth. 2013;27:1267–1270.
20. Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53:695–699.
21. Partridge JS, Dhesi JK, Cross JD, et al. The prevalence and impact of undiagnosed cognitive impairment in older vascular surgical patients. J Vasc Surg. 2014;60:1002.e3–1011.e3.
22. Cordell CB, Borson S, Boustani M, et al; Medicare Detection of Cognitive Impairment Workgroup. Alzheimer’s Association recommendations for operationalizing the detection of cognitive impairment during the Medicare Annual Wellness Visit in a primary care setting. Alzheimers Dement. 2013;9:141–150.
23. Kazmierski J, Kowman M, Banach M, et al. Preoperative predictors of delirium after cardiac surgery: a preliminary study. Gen Hosp Psychiatry. 2006;28:536–538.
24. Veliz-Reissmüller G, Agüero Torres H, van der Linden J, Lindblom D, Eriksdotter Jönhagen M. Pre-operative mild cognitive dysfunction predicts risk for post-operative delirium after elective cardiac surgery. Aging Clin Exp Res. 2007;19:172–177.
25. Puustinen J, Luostarinen L, Luostarinen M, et al. The use of MoCA and other cognitive tests in evaluation of cognitive impairment in elderly patients undergoing arthroplasty. Geriatr Orthop Surg Rehabil. 2016;7:183–187.
26. Long LS, Wolpaw JT, Leung JM. Sensitivity and specificity of the animal fluency test for predicting postoperative delirium. Can J Anaesth. 2015;62:603–608.
27. Belmin J, Pariel-Madjlessi S, Surun P, et al. The cognitive disorders examination (Codex) is a reliable 3-minute test for detection of dementia in the elderly (validation study on 323 subjects). Presse Med. 2007;36:1183–1190.
28. Larner AJ. Codex (cognitive disorders examination) for the detection of dementia and mild cognitive impairment. Presse Med. 2013;42:e425–e428.
29. Mézière A, Paillaud E, Belmin J, et al. Delirium in older people after proximal femoral fracture repair: role of a preoperative screening cognitive test. Ann Fr Anesth Reanim. 2013;32:e91–e96.
30. Culley DJ, Flaherty D, Fahey MC, et al. Poor performance on a preoperative cognitive screening test predicts postoperative complications in older orthopedic surgical patients. Anesthesiology. 2017;127:765–774.
31. Chan MT, Cheng BC, Lee TM, Gin T; CODA Trial Group. BIS-guided anesthesia decreases postoperative delirium and cognitive decline. J Neurosurg Anesthesiol. 2013;25:33–42.
32. Inouye SK, Bogardus ST Jr, Charpentier PA, et al. A multicomponent intervention to prevent delirium in hospitalized older patients. N Engl J Med. 1999;340:669–676.
33. American Geriatrics Society 2015 Beers Criteria Update Expert Panel. American Geriatrics Society 2015 updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2015;63:2227–2246.
34. Mapleson WW. Effect of age on MAC in humans: a meta-analysis. Br J Anaesth. 1996;76:179–185.
35. Eger EI II. Age, minimum alveolar anesthetic concentration, and minimum alveolar anesthetic concentration-awake. Anesth Analg. 2001;93:947–953.
36. Schieber RA, Namnoum A, Sugden A, Shiu GK, Orr RA, Cook DR. Hemodynamic effects of isoflurane in the newborn piglet: comparison with halothane. Anesth Analg. 1986;65:633–638.
37. Fast JP, Perkins MG, Pearce RA, Mecozzi S. Fluoropolymer-based emulsions for the intravenous delivery of sevoflurane. Anesthesiology. 2008;109:651–656.
38. Apfel CC, Kranke P, Katz MH, et al. Volatile anaesthetics may be the main cause of early but not delayed postoperative vomiting: a randomized controlled trial of factorial design. Br J Anaesth. 2002;88:659–668.
39. Radtke FM, Franck M, Lendner J, Krüger S, Wernecke KD, Spies CD. Monitoring depth of anaesthesia in a randomized trial decreases the rate of postoperative delirium but not postoperative cognitive dysfunction. Br J Anaesth. 2013;110suppl 1i98–i105.
40. Mason SE, Noel-Storr A, Ritchie CW. The impact of general and regional anesthesia on the incidence of post-operative cognitive dysfunction and post-operative delirium: a systematic review with meta-analysis. J Alzheimers Dis. 2010;22suppl 367–79.
41. Guay J. General anaesthesia does not contribute to long-term post-operative cognitive dysfunction in adults: a meta-analysis. Indian J Anaesth. 2011;55:358–363.
42. Silbert BS, Evered LA, Scott DA. Incidence of postoperative cognitive dysfunction after general or spinal anaesthesia for extracorporeal shock wave lithotripsy. Br J Anaesth. 2014;113:784–791.
43. Leung JM, Sands LP, Chen N, et al; Perioperative Medicine Research Group. Perioperative gabapentin does not reduce postoperative delirium in older surgical patients: a randomized clinical trial. Anesthesiology. 2017;127:633–644.
44. Silbert BS, Scott DA, Evered LA, et al. A comparison of the effect of high- and low-dose fentanyl on the incidence of postoperative cognitive dysfunction after coronary artery bypass surgery in the elderly. Anesthesiology. 2006;104:1137–1145.
45. Avidan MS, Maybrier HR, Abdallah AB, et al; PODCAST Research Group. Intraoperative ketamine for prevention of postoperative delirium or pain after major surgery in older adults: an international, multicentre, double-blind, randomised clinical trial. Lancet. 2017;390:267–275.
46. Deiner S, Luo X, Lin HM, et al; and the Dexlirium Writing Group. Intraoperative infusion of dexmedetomidine for prevention of postoperative delirium and cognitive dysfunction in elderly patients undergoing major elective noncardiac surgery: a randomized clinical trial. JAMA Surg. 2017;152:e171505.
47. Hudetz JA, Iqbal Z, Gandhi SD, et al. Ketamine attenuates post-operative cognitive dysfunction after cardiac surgery. Acta Anaesthesiol Scand. 2009;53:864–872.
48. Hudetz JA, Patterson KM, Iqbal Z, et al. Ketamine attenuates delirium after cardiac surgery with cardiopulmonary bypass. J Cardiothorac Vasc Anesth. 2009;23:651–657.
49. Su X, Meng ZT, Wu XH, et al. Dexmedetomidine for prevention of delirium in elderly patients after non-cardiac surgery: a randomised, double-blind, placebo-controlled trial. Lancet. 2016;388:1893–1902.
50. Farag E, Chelune GJ, Schubert A, Mascha EJ. Is depth of anesthesia, as assessed by the Bispectral Index, related to postoperative cognitive dysfunction and recovery? Anesth Analg. 2006;103:633–640.
51. Deiner S, Luo X, Silverstein JH, Sano M. Can intraoperative processed EEG predict postoperative cognitive dysfunction in the elderly? Clin Ther. 2015;37:2700–2705.
52. Purdon PL, Pavone KJ, Akeju O, et al. The ageing brain: age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia. Br J Anaesth. 2015;115suppl 1i46–i57.
53. Ni K, Cooter M, Gupta DK, et al. A paradox of age: older patients receive higher age adjusted MAC values, yet display higher average BIS values. Br J Anaesth. 2018. In press.
54. Erdogan MA, Demirbilek S, Erdil F, et al. The effects of cognitive impairment on anaesthetic requirement in the elderly. Eur J Anaesthesiol. 2012;29:326–331.
55. Renna M, Handy J, Shah A. Low baseline Bispectral Index of the electroencephalogram in patients with dementia. Anesth Analg. 2003;96:1380–1385.
56. Whitlock EL, Villafranca AJ, Lin N, et al. Relationship between bispectral index values and volatile anesthetic concentrations during the maintenance phase of anesthesia in the B-Unaware trial. Anesthesiology. 2011;115:1209–1218.
57. Fritz BA, Kalarickal PL, Maybrier HR, et al. Intraoperative electroencephalogram suppression predicts postoperative delirium. Anesth Analg. 2016;122:234–242.
58. Soehle M, Dittmann A, Ellerkmann RK, Baumgarten G, Putensen C, Guenther U. Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: a prospective, observational study. BMC Anesthesiol. 2015;15:61.
59. Purdon PL, Sampson A, Pavone KJ, Brown EN. Clinical electroencephalography for anesthesiologists: part I: background and basic signatures. Anesthesiology. 2015;123:937–960.
60. Avidan M. ENGAGES trial description on clinicaltrials.gov.2014. Available at: https://clinicaltrials.gov/ct2/show/NCT02241655?term=Avidan&rank=9. Accessed September 25, 2018.
61. Berger M. DREAMER study clinicaltrials.gov. 2016. Available at: https://clinicaltrials.gov/ct2/show/NCT03008863?term=Miles+Berger&rank=4. Accessed September 25, 2018.
62. Deiner SG. Optimizing Postoperative Cognition the Elderly. Clinicaltrials.gov: clinicaltrials.gov. 2017. Available at: https://clinicaltrials.gov/ct2/show/NCT02650687?term=Stacie+Deiner&rank=1. Accessed September 25, 2018.
63. Wang J, Li Z, Yu Y, Li B, Shao G, Wang Q. Risk factors contributing to postoperative delirium in geriatric patients postorthopedic surgery. Asia Pac Psychiatry. 2015;7:375–382.
64. Siepe M, Pfeiffer T, Gieringer A, et al. Increased systemic perfusion pressure during cardiopulmonary bypass is associated with less early postoperative cognitive dysfunction and delirium. Eur J Cardiothorac Surg. 2011;40:200–207.
65. Yocum GT, Gaudet JG, Teverbaugh LA, et al. Neurocognitive performance in hypertensive patients after spine surgery. Anesthesiology. 2009;110:254–261.
66. Williams-Russo P, Sharrock NE, Mattis S, et al. Randomized trial of hypotensive epidural anesthesia in older adults. Anesthesiology. 1999;91:926–935.
67. Wesselink EM, Kappen TH, van Klei WA, Dieleman JM, van Dijk D, Slooter AJ. Intraoperative hypotension and delirium after on-pump cardiac surgery. Br J Anaesth. 2015;115:427–433.
68. Bijker JB, van Klei WA, Kappen TH, van Wolfswinkel L, Moons KG, Kalkman CJ. Incidence of intraoperative hypotension as a function of the chosen definition: literature definitions applied to a retrospective cohort using automated data collection. Anesthesiology. 2007;107:213–220.
69. Schoen J, Meyerrose J, Paarmann H, Heringlake M, Hueppe M, Berger KU. Preoperative regional cerebral oxygen saturation is a predictor of postoperative delirium in on-pump cardiac surgery patients: a prospective observational trial. Crit Care. 2011;15:R218.
70. Kim J, Shim JK, Song JW, Kim EK, Kwak YL. Postoperative cognitive dysfunction and the change of regional cerebral oxygen saturation in elderly patients undergoing spinal surgery. Anesth Analg. 2016;123:436–444.
71. Zheng F, Sheinberg R, Yee MS, Ono M, Zheng Y, Hogue CW. Cerebral near-infrared spectroscopy monitoring and neurologic outcomes in adult cardiac surgery patients: a systematic review. Anesth Analg. 2013;116:663–676.
72. Murkin JM, Adams SJ, Novick RJ, et al. Monitoring brain oxygen saturation during coronary bypass surgery: a randomized, prospective study. Anesth Analg. 2007;104:51–58.
73. Deschamps A, Hall R, Grocott H, et al; Canadian Perioperative Anesthesia Clinical Trials Group. Cerebral oximetry monitoring to maintain normal cerebral oxygen saturation during high-risk cardiac surgery: a randomized controlled feasibility trial. Anesthesiology. 2016;124:826–836.
74. Subramanian B, Nyman C, Fritock M, et al. A multicenter pilot study assessing regional cerebral oxygen desaturation frequency during cardiopulmonary bypass and responsiveness to an intervention algorithm. Anesth Analg. 2016;122:1786–1793.
75. Ballard C, Jones E, Gauge N, et al. Optimised anaesthesia to reduce post operative cognitive decline (POCD) in older patients undergoing elective surgery, a randomised controlled trial. PLoS One. 2012;7:e37410.
76. Aries MJ, Czosnyka M, Budohoski KP, et al. Continuous monitoring of cerebrovascular reactivity using pulse waveform of intracranial pressure. Neurocrit Care. 2012;17:67–76.
77. Joshi B, Ono M, Brown C, et al. Predicting the limits of cerebral autoregulation during cardiopulmonary bypass. Anesth Analg. 2012;114:503–510.
78. Ono M, Arnaoutakis GJ, Fine DM, et al. Blood pressure excursions below the cerebral autoregulation threshold during cardiac surgery are associated with acute kidney injury. Crit Care Med. 2013;41:464–471.
79. Ono M, Brady K, Easley RB, et al. Duration and magnitude of blood pressure below cerebral autoregulation threshold during cardiopulmonary bypass is associated with major morbidity and operative mortality. J Thorac Cardiovasc Surg. 2014;147:483–489.
80. Hori D, Brown C, Ono M, et al. Arterial pressure above the upper cerebral autoregulation limit during cardiopulmonary bypass is associated with postoperative delirium. Br J Anaesth. 2014;113:1009–1017.
81. Myles PS, Grocott MP, Boney O, Moonesinghe SR; COMPAC-StEP Group. Standardizing end points in perioperative trials: towards a core and extended outcome set. Br J Anaesth. 2016;116:586–589.
© 2018 International Anesthesia Research Society