Incidence of Postoperative Cognitive Dysfunction Following Inhalational Vs. Total Intravenous General Anesthesia: A Systematic Review and Meta-Analysis.

Incidence of Postoperative Cognitive Dysfunction Following Inhalational Vs. 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Total Intravenous General Anesthesia: A Systematic Review and Meta-Analysis. Daniel Negrini, Andrew Wu, Atsushi Oba, Ben Harnke, Nicholas Ciancio, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1211887/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Postoperative cognitive dysfunction (POCD) has been increasingly recognized as a contributor to postoperative complications. A consensus-working group recommended that POCD should be distinguished between delayed cognitive recovery, i.e., evaluations up to 30 days postoperative, and neurocognitive disorder, i.e., assessments performed between 30 days and 12 months after surgery. Additionally, the choice of the anesthetic, either inhalational or total intravenous anesthesia (TIVA) and its effect on the incidence of POCD, has become a focus of research. Our primary objective was to search the literature and conduct a meta-analysis to verify whether the choice of general anesthesia may impact the incidence of POCD in the first 30 days postoperatively. As a secondary objective, a systematic review of the literature was conducted to estimate the effects of the anesthetic on POCD between 30 days and 12 months postoperative. For the primary objective, an initial review of 1,913 articles yielded 12 studies with a total of 3,639 individuals. For the secondary objective, five studies with a total of 751 patients were selected. In the first 30 days postoperative, the odds-ratio for POCD in TIVA group was 0.60 (95% CI = 0.40 - 0.91; p = 0.02), compared to the inhalational group. TIVA was associated with a lower incidence of POCD in the first 30 days postoperatively. Regarding the secondary objective, due to the small number of selected articles and its high heterogeneity, a metanalysis was not conducted. Giving the heterogeneity of criteria for POCD, future prospective studies with more robust designs should be performed to fully address this question. Cognitive Neuroscience Health Policy Neurology postoperative cognitive dysfunction (POCD) total intravenous anesthesia (TIVA) inhalational anesthesia. Figures Figure 1 Figure 2 Figure 3 Introduction Postoperative cognitive dysfunction (POCD) is a common condition after surgery and anesthesia ( 1 – 2 ). Recent studies showed an incidence of POCD between 10%-18% ( 3 – 7 ). The International Study of Post-Operative Cognitive Dysfunction (ISPOCD-1) has estimated the incidence of POCD after non-cardiac surgery is as high as 9.9% at three months ( 8 ). Regarding the choice of the type of general anesthesia, previous studies have identified a possible role of propofol in attenuating the inflammatory cascade ( 9 – 10 ). Moreover, an increase in various cytokines, including IL-6, TNF-α, IL- 8, and IL-10, have been found to be associated with the presence of POCD ( 11 , 12 ). Consequentially, TIVA may be hypothesized as being protective against POCD. A consensus-working group published recommendations from a panel of specialists suggesting that cognitive assessments on POCD should be distinguished into delayed cognitive recovery (DCR), i.e., evaluations up to 30 days postoperative, and postoperative neurocognitive disorder (pNCD), i.e., assessments performed between 30 days and 12 months after surgery. The consensus-working group stressed that cognitive decline after the first 30 days postoperatively might potentially be linked to long-term consequences and should, therefore, also be a topic for research. ( 13 ). The primary objective of this study was to conduct a systematic review of the literature and a meta-analysis on the clinical impact of the choice of general anesthesia on the incidence of POCD - DCR, either inhalational or total intravenous anesthesia (TIVA) in the first 30 days, excluding assessments at the same day of surgery. As a secondary goal, we conducted a systematic review of the literature to study the impact of the choice of anesthetic on the incidence of POCD - pNCD between 30 days and 12 months postoperatively. Methods Search Strategy: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed when performing and reporting this study ( 14 ). A health sciences librarian (BH) conducted an initial literature search on March 6, 2020, and an updated search on May 24, 2021. The following databases were queried: Ovid MEDLINE(R) ; Embase .com; Web of Science , Google Scholar . Conference abstracts/papers were excluded in Embase. No other limits were applied. All retrieved records were organized using the citation management software Endnote version 20 (Clarivate, London, U.K.). For removal of duplicates Covidence (Melbourne, Australia), a systematic review citation reviewing and screening software, was used. The search strategy was designed to capture the association between post-operative cognitive dysfunction (POCD) with surgical anesthetics, specifically propofol and inhalational agents. The full search strategy is presented in Table 1 . Searches were supplemented by hand searching and retrieval of any additional articles meeting eligibility criteria that were cited in our reference lists. The full protocol for this systematic review and meta-analysis is registered and approved at the PROSPERO database under the registration number CRD42021239283 . Study Selection: Only studies comparing the impact on POCD between TIVA and inhalational anesthesia were selected. All papers including cardiac, carotid, or neurosurgical procedures, and non-adult patients were excluded. Studies that only assessed cognitive function at the same day of surgery were also excluded. If the title and/or abstract suggested that a paper matched the inclusion and exclusion criteria, the full article was screened and assessed for eligibility. Primary objective For our primary objective, we considered POCD - DCR assessed in the first 30 days postoperatively. When assessments were performed multiple times in the postoperative period, we selected the first measurement after surgery, excluding assessments at the same day of surgery. Secondary objective For our secondary aim, we focused only on papers evaluating POCD - pNCD between 30 days and 12 months postoperatively. Methodological quality and risk of bias analysis: The methodological quality of the included studies for both objectives was assessed using the Cochrane Collaboration’s tool for assessing risk of bias in randomized trials ( 15 ), which accounts for six potential risks of bias: selection, performance, detection, attrition, reporting, and other sources of bias. Ultimately, each domain was assessed as low, high, or unclear. Two investigators (DN and YAW) independently selected the studies, extracted the relevant information from the included trials, and assessed the risk of bias. In the case of disagreement, a third investigator (AO) resolved the conflict. Outcomes: The outcome for the primary objective was the incidence of POCD - DCR, as described by the authors of the primary studies, in patients exposed to either TIVA or inhalational anesthesia in the first 30 days postoperatively. For the primary objective we estimated the odds ratio of POCD between the two groups. For the secondary objective, the outcome was POCD – pNCD, also as defined the authors of the primary studies. Data Synthesis and Statistical Analysis: All analyses were performed using Stata version 15.1 (StataCorp LLC, College Station, Texas, USA). The percentage of the total variability in the set of effect sizes due to true heterogeneity was tested with the I 2 statistic. Random Effects Mantel-Haenszel model was used to estimate adjusted odds ratio and 95% confidence intervals for the pooled data for the primary objective. Results The flowchart for data extraction is shown in Figure 1 . We identified 3,381 total citations. After removal of duplicates, 1,913 total unique citations were selected. After screening for eligibility criteria based on the title and/or the abstract, 19 potentially eligible articles were retrieved in full text. Ten published studies were then selected for the primary objective, with 2 additional studies being further included after hand searching on our reference lists. Five studies were selected for the secondary objective. Primary Objective Overall, twelve studies compared TIVA vs. inhalational anesthesia reporting the incidence of POCD - DCR in both groups ( Table 2 ). The mean sample size among those studies was 303 subjects, considering both groups. In total, 1,818 participants were assigned to the TIVA group and 1,821 to inhalational anesthesia. The range of age among all the twelve studies varied from 20 to 86 years, with median age of 70 years. In the TIVA group, the median age was 70.58 years (20 - 86) whereas in the inhalational group, the median age was 69.43 years (24 – 85). The pooled incidence of POCD in the TIVA group was 11.4%, while in the Inhalational group was 27.7%. Nine out of the twelve studies seemed to favor TIVA but failed to reach statistical significance. Moreover, three of those studies reached statistical significance ( 7 , 16 , 17 ). None of the included studies favored inhalational anesthesia. Consequently, the pooled OR significantly favored the use of TIVA (0.60; 95% CI = 0.40 - 0.91; p = 0.02) ( Figure 2) . The Random Effects Mantel-Haenszel model was used to estimate adjusted OR and 95% confidence intervals for the pooled data based on the value of the I 2 statistic, which was judged as high. We assumed a cut-off value of 75% for I 2 statistic to choose between models. Two studies used the Mini-Mental state examination (MMSE) as the only tool for evaluation ( 17 , 19 ). Specific tests used by different authors in their respective studies are summarized in Table 2 . When more than one assessment of cognitive performance was conducted in the postoperative period, we chose the measurement closest to the day of surgery. Among studies with multiple testing in the first 30 postoperative days ( 6 , 16 - 18 ), results were similar in all assessments, with the exception of one study ( 16 ), in which cognitive decline was observed in inhalational group, compared to propofol, only in postoperative days one, two and three, but not in day ten. Consequently, we used data from 1st day after surgery from four studies ( 4 , 17 - 19 ), day 2 from three studies ( 6 , 7 , 20 ), day 7 from four studies ( 3 , 5 , 21 , 22 ) and day 10 in a single study ( 22 ). The definition used to diagnose POCD - DCR varied a lot among those studies, ranging from a statistical difference in the means between pre- and postoperative values in MMSE, up to more sophisticated concepts, such as the Z-score or more than one SD in at least two different tests evaluating different cognitive domains, between pre- and postoperative values. Four studies used health controls not submitted to any surgery or anesthesia in the comparison ( 3 , 5 , 19 , 21 ). All included studies used monitoring of the level of consciousness, except for two ( 18 , 19 ). In all included studies the type of opioids and regimen of administration were similar between groups. Most studies used sevoflurane as inhalational agent. Two studies used isoflurane ( 16 – 17 ), and one used desflurane ( 20 ). The overall risk of bias in the included studies for the meta-analysis ( Figure 3) was judged as low in ten of the included studies, and unknown in only two ( 3 , 18 ). Secondary Objective Characteristics of eligible studies for the secondary objective are shown in Table 2 . From the five included articles ( 3 – 7 ), a total of 751 patients were included, 398 in the TIVA group, with a median age of 68.15 years (20 - 85), and 353 in the inhalational group, with a median age of 67.83 years (24 - 81). The range of age of the participants enrolled in all five studies varied from 20 to 85 years. As previously mentioned, the type of opioids used, and the regimen of administration were similar in both groups for all included studies. All included studies for the secondary objective used sevoflurane as inhalational agent. The overall risk of bias for the included studies (Figure 3) indicated that the risk was low in four out of the five included studies. In Konishi et al. ( 3 ), the risk of bias was judged as unknown. In the study by Kletecka et al. ( 4 ), postoperative measurements were conducted at 42 days postoperatively, but authors only considered a diagnosis of POCD - pNCD if three of the following tests were altered: the Digital Span Test (Forward and Backward), the Letter Number Sequence Test, the Verbal Fluency, the Trail Making Test (TMT), A and B, and the Stroop Test. Egawa et al. ( 6 ) conducted another study using a definition of POCD - pNCD when there was a difference in means of tests scores of at least 20% between postoperative and preoperative scores. Postoperative measurements were performed three months after surgery. The tests used were the TMT (A and B), the Digit Span Forward and Backward, the Grooved Pegboard Test, as well as the MMSE. An additional study by Guo L. et al. ( 5 ) used a difference of at least one SD preoperatively and three months postoperatively in two of the following tests: the Verbal Learning Test (Learning Trial and Delay), the Concept Shifting Task (part C), the Stroop Color Word test (Part 3), and the Letter Digit Coding. The author did not mention which specific tests were altered in the postoperative period. The study conducted by Konishi et al. ( 3 ) also considered altered scores in at least two tests and measurements three months postoperatively. Tests used were the Consortium to establish a registry for Alzheimer’s disease (CERAD), the Rey Auditory-Verbal Learning Test (RAVLT), the TMT (A and B), the Digit Symbol Substitution Test (DSST), the Controlled Oral Word Association Test (COWAT), a Semantic Fluency Test, the grooved pegboard test (both dominant and non-dominant hands), as well as the MMSE. Finally, in the study conducted by Micha G. et al ( 7 ), the authors diagnosed POCD based on a significant statistical difference between means of tests performed at 9 months postoperatively, compared to the preoperative results. Among the tests used, the ones reported as altered were: The Controlled Oral Word Association Test (COWAt), the Stroop Neuropsychological Screening, the Clock Test, the Three Word-Three Shapes, the Babcock Story Recall, the Instrumental Activities Daily Living (IADLS) and the Trail Making-B. Discussion The results from our systematic review and meta-analysis suggested that the incidence of POCD - DCR following the use of TIVA may be lower compared to inhalational anesthesia in the first 30 postoperative days. Even though we have succeeded in including a high total number of subjects in our review and meta-analysis, the heterogeneity in definitions of POCD - DCR, different psychometric tests used and its cuff-off values, among other factors, limit the reach of our conclusions. This is reflected in our heterogeneity analysis (I 2 = 85%). Our study suggests that the concept of POCD should be redifined into a more objective definition. Moreover, it would be of interest to evaluate a more basic cognitive domain, such as attention, in all awake and alert individuals, since it is well known from the literature that attention plays a pivotal role to the functions of all other cognitive domains. It is reasonable to assume that specific cognitive deficits, such as memory, executive function, among others, may reflect a subjacent attention impairment. Future research should focus on objective attention measurements prior to other specific cognitive domains. This would allow a reduction in heterogeneity on POCD research. The potential benefits of propofol and TIVA in POCD might be mediated through its positive effects in diminishing the inflammatory cascade. Evidence has shown that propofol has anti-inflammatory properties compared to inhalation agents ( 23 ) as in vivo study results have shown lower levels of circulating cytokines and other mediators of inflammation in animals injected with propofol ( 11 ). Inflammation has been associated with POCD in many different studies. An increase in various cytokines, including IL-6, TNF-α, IL- 8, and IL-10, have been correlated with postoperative cognitive impairment ( 24 ). Recently, a meta-analysis was conducted assessing the association between various inflammatory biomarkers and POCD and concluded that higher postoperative C-reactive protein (n = 11 studies) and IL-6 (n = 17 studies) were associated with POCD ( 25 ). However, the possible role of the anesthetics in the inflammatory cascade is still yet to be clarified, with some evidence favoring the use of inhalational agents, such as sevoflurane, specifically in ischemia-reperfusion cell models ( 26 ) The population enrolled in our work has a high median age, consequentially to the fact that most of the research on POCD involves older individuals. Only two of the included studies admitted patients younger than 60 years old ( 4 , 6 ). Since the number of younger individuals was too small, we were not able to perform a stratification analysis by age. Even though all included studies relied on comparisons of the results of psychometric tests postoperative with the preoperative evaluation, only five studies used healthy controls not submitted to surgery or anesthesia in its study design ( 3 , 5 , 19 , 21 – 22 ), to make sure the cognitive decline was not consequence of the advanced age itself. One limitation that must be stressed refers to the fact that propofol was used in both groups in all included studies, at least as a single bolus agent at the induction phase of anesthesia. It’s uncertain if a single dose of propofol might exert any potential beneficial effects on POCD, consequentially to its potential effects at the inflammatory cascade, even considering that in TIVA group propofol is used in a continuous infusion through all the duration of the procedure. Maybe future studies in POCD should consider using another induction agent in the inhalational group, at the study design phase. Regarding our secondary aim, we decided to proceed only with a systematic review of the literature, considering the few studies included and, consequently, the small number of subjects, given that the recommendations for testing between 30 days and 12 months postoperatively are relatively recent. Further studies, considering this testing period, are necessary in the future. Most of these psychometric tests aim at a specific domain of cognitive function ( Supplementary Table 1). Many of these tests have been validated in different clinical scenarios, including the postoperative period ( 27 – 34 ). It seems reasonable to hypothesize that different psychometric tests, targeting different cognitive domains, might differ in their ability to diagnose POCD. In addition, little attention has been spent on which specific tests and cognitive domains would be most likely altered in the postoperative period. So far, we have scarce evidence of which cognitive domains are more susceptible to POCD, with few data pointing towards the attention domain and executive function as potentially more affected in the postoperative period ( 35 ). As mentioned earlier, the attention domain plays a pivotal role in cognition since its proper function is essential to the functioning of all other domains. However, all the studies included in this review established the diagnosis of POCD accepting any altered domain as equally valid. This should, as well, be an important topic for future research. Only two authors in our review reported which specific tests showed a significant difference in their postoperative assessment. One study reported that tests most frequently altered were the Semantic Verbal Fluency and the Letter Number Sequence Test, which measures the executive function and speed and visual space working memory cognitive domains ( 4 ). Another author reported that the COWAT, the Stroop Neuropsychological Screening, the Clock Test, the Three Word-Three Shapes, the Babcock Story Recall, the Instrumental Activities Daily Living (IADLS), and the TMT-B as the tests showed a difference in their postoperative assessment ( 7 ). Additionally, the application of psychometric tests for diagnosis of POCD that relies on a cut-off, such as one SD from the mean, or similar, could be insensitive for detecting minor but significant changes in cognitive status in the postoperative period. We hypothesize that the use of a test more focused on the attention domain, a pre-requisite for the proper function of all the other cognitive domains, applied as a continuous variable measured over time could potentially be more sensitive in detecting subtle changes in the cognitive function perioperatively. This should be an additional relevant topic for future research. It should be emphasized that ten out of the 12 studies we included in our present review titrated the level of anesthesia in both groups with the use of EEG-derived monitors, such as the BIS, all studies targeting a value between 40 and 60. The use of these devices might potentially lead to improved titration of anesthesia ( 3 ). Therefore, our results cannot be explained as consequence of monitoring the level of consciousness on a particular group. In conclusion, TIVA might be associated with a lower incidence of POCD, compared with inhalational anesthesia, at least in the first 30 postoperative days. However, future studies investigating POCD, should focus on assessments of attention because the validity of testing all other cognitive subdomains (e.g., memory, executive functions, etc.) relies on its integrity. This could also potentially reduce heterogeneity on POCD research. References Glumac S, Kardum G, Karanovic N. 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MMSE (Mini-Mental state examination); CERAD (Consortium to establish a registry for Alzheimer’s disease); AVLT (Auditory-Verbal Learning (AVLT); TMT A and B ( Trail Making Test A and B); DSST (Digit Symbol Substitution Test); COWAT ( Controlled Oral Word Association Test; GPB d and nd ( Grooved Pegboard Test dominant and non-dominant hand) Additional Declarations No competing interests reported. Supplementary Files Supplementarytable1.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1211887","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":74283583,"identity":"5b90c517-bc70-41bb-8494-c36b6643b1cb","order_by":0,"name":"Daniel Negrini","email":"data:image/png;base64,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","orcid":"","institution":"Federal University of the State of Rio de Janeiro","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Daniel","middleName":"","lastName":"Negrini","suffix":""},{"id":74283584,"identity":"37c9a76c-f552-44d7-88d6-1aa6e0578aa4","order_by":1,"name":"Andrew Wu","email":"","orcid":"","institution":"University of Colorado, Anschutz Medical Campus","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Andrew","middleName":"","lastName":"Wu","suffix":""},{"id":74283585,"identity":"70c27069-0cc2-477c-8694-0d00298dd0bb","order_by":2,"name":"Atsushi Oba","email":"","orcid":"","institution":"Japanese Foundation for Cancer Research","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Atsushi","middleName":"","lastName":"Oba","suffix":""},{"id":74283586,"identity":"230ed7b0-56ae-4b8f-b731-6318e56d1477","order_by":3,"name":"Ben Harnke","email":"","orcid":"","institution":"University of Colorado Denver","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ben","middleName":"","lastName":"Harnke","suffix":""},{"id":74283587,"identity":"268756ee-718d-48de-9480-134694a8813c","order_by":4,"name":"Nicholas Ciancio","email":"","orcid":"","institution":"University of Colorado Denver","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Nicholas","middleName":"","lastName":"Ciancio","suffix":""},{"id":74283588,"identity":"9cb1f59b-f1ea-49df-b18f-2d09afabd122","order_by":5,"name":"Martin Krause","email":"","orcid":"","institution":"University of California, San Diego","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Martin","middleName":"","lastName":"Krause","suffix":""},{"id":74283589,"identity":"a1a1f407-0248-42ab-a4d2-f1f0f3dfe8ba","order_by":6,"name":"Claudia Clavijo","email":"","orcid":"","institution":"University of Colorado Denver","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Claudia","middleName":"","lastName":"Clavijo","suffix":""},{"id":74283590,"identity":"f174336a-bf8b-48e2-b1cc-c362f0c3c651","order_by":7,"name":"Mohammed Al-Musawi","email":"","orcid":"","institution":"University of Colorado, Anschutz Medical Campus","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mohammed","middleName":"","lastName":"Al-Musawi","suffix":""},{"id":74283591,"identity":"fa520d14-47ec-497d-8903-14c39e7a3ce6","order_by":8,"name":"Tatiana Linhares","email":"","orcid":"","institution":"University of Colorado, Anschutz Medical Campus","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tatiana","middleName":"","lastName":"Linhares","suffix":""},{"id":74283592,"identity":"8d5f0895-e19a-4ce1-b45c-ff0217491ed3","order_by":9,"name":"Ana Fernandez-Bustamante","email":"","orcid":"","institution":"University of Colorado Denver","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ana","middleName":"","lastName":"Fernandez-Bustamante","suffix":""},{"id":74283593,"identity":"7d62a8dc-db78-41b1-92ff-a536932773f3","order_by":10,"name":"Sergio Schmidt","email":"","orcid":"","institution":"Gaffree \u0026 Guinle University Hospital - EBSERH","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Sergio","middleName":"","lastName":"Schmidt","suffix":""}],"badges":[],"createdAt":"2021-12-28 20:59:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1211887/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1211887/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":17063884,"identity":"20bfb4b1-e717-4c2a-8988-38324f658d1b","added_by":"auto","created_at":"2022-01-06 16:05:40","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":66734,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-1211887/v1/929dc886a3c680dff5199b4f.png"},{"id":17063885,"identity":"270ab81b-62c6-42d9-af0d-9039a282462b","added_by":"auto","created_at":"2022-01-06 16:05:40","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":307540,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-1211887/v1/889b7504744134da9e0f0714.png"},{"id":17063883,"identity":"24b77aa9-984a-4e8d-8305-61271f528b9e","added_by":"auto","created_at":"2022-01-06 16:05:40","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":130635,"visible":true,"origin":"","legend":"\u003cp\u003eSee image above for figure legend.\u003c/p\u003e","description":"","filename":"Figure3.png","url":"https://assets-eu.researchsquare.com/files/rs-1211887/v1/a08c7d13de66b5fba8309d1c.png"},{"id":18368958,"identity":"dad2d677-408b-48cf-885b-2e44b5064e2d","added_by":"auto","created_at":"2022-02-18 15:44:26","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":851225,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1211887/v1/4d9b7378-0292-49d0-8e74-ef5f5f3dab8c.pdf"},{"id":17063886,"identity":"255b0a06-f400-42aa-9e24-372009050f15","added_by":"auto","created_at":"2022-01-06 16:05:40","extension":"docx","order_by":7,"title":"","display":"","copyAsset":false,"role":"supplement","size":54629,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementarytable1.docx","url":"https://assets-eu.researchsquare.com/files/rs-1211887/v1/a61bb77c0413d8015f4d61e5.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eIncidence of Postoperative Cognitive Dysfunction Following Inhalational Vs. Total Intravenous General Anesthesia: A Systematic Review and Meta-Analysis.\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003ePostoperative cognitive dysfunction (POCD) is a common condition after surgery and anesthesia (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). Recent studies showed an incidence of POCD between 10%-18% (\u003cspan additionalcitationids=\"CR4 CR5 CR6\" citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). The International Study of Post-Operative Cognitive Dysfunction (ISPOCD-1) has estimated the incidence of POCD after non-cardiac surgery is as high as 9.9% at three months (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eRegarding the choice of the type of general anesthesia, previous studies have identified a possible role of propofol in attenuating the inflammatory cascade (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). Moreover, an increase in various cytokines, including IL-6, TNF-α, IL- 8, and IL-10, have been found to be associated with the presence of POCD (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e). Consequentially, TIVA may be hypothesized as being protective against POCD.\u003c/p\u003e \u003cp\u003eA consensus-working group published recommendations from a panel of specialists suggesting that cognitive assessments on POCD should be distinguished into delayed cognitive recovery (DCR), i.e., evaluations up to 30 days postoperative, and postoperative neurocognitive disorder (pNCD), i.e., assessments performed between 30 days and 12 months after surgery. The consensus-working group stressed that cognitive decline after the first 30 days postoperatively might potentially be linked to long-term consequences and should, therefore, also be a topic for research. (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe primary objective of this study was to conduct a systematic review of the literature and a meta-analysis on the clinical impact of the choice of general anesthesia on the incidence of POCD - DCR, either inhalational or total intravenous anesthesia (TIVA) in the first 30 days, excluding assessments at the same day of surgery. As a secondary goal, we conducted a systematic review of the literature to study the impact of the choice of anesthetic on the incidence of POCD - pNCD between 30 days and 12 months postoperatively.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eSearch Strategy:\u003c/h2\u003e \u003cp\u003eThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed when performing and reporting this study (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e). A health sciences librarian (BH) conducted an initial literature search on March 6, 2020, and an updated search on May 24, 2021. The following databases were queried: \u003cb\u003eOvid MEDLINE(R)\u003c/b\u003e; \u003cb\u003eEmbase\u003c/b\u003e.com; \u003cb\u003eWeb of Science\u003c/b\u003e, \u003cb\u003eGoogle Scholar\u003c/b\u003e. Conference abstracts/papers were excluded in Embase. No other limits were applied.\u003c/p\u003e \u003cp\u003eAll retrieved records were organized using the citation management software Endnote version 20 (Clarivate, London, U.K.). For removal of duplicates Covidence (Melbourne, Australia), a systematic review citation reviewing and screening software, was used.\u003c/p\u003e \u003cp\u003eThe search strategy was designed to capture the association between \u003cem\u003epost-operative cognitive dysfunction (POCD)\u003c/em\u003e with surgical anesthetics, specifically \u003cem\u003epropofol\u003c/em\u003e and inhalational agents. The full search strategy is presented in \u003cb\u003eTable 1\u003c/b\u003e.\u003c/p\u003e \u003cp\u003eSearches were supplemented by hand searching and retrieval of any additional articles meeting eligibility criteria that were cited in our reference lists.\u003c/p\u003e \u003cp\u003eThe full protocol for this systematic review and meta-analysis is registered and approved at the \u003cb\u003ePROSPERO\u003c/b\u003e database under the registration number \u003cb\u003eCRD42021239283\u003c/b\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eStudy Selection:\u003c/h2\u003e \u003cp\u003eOnly studies comparing the impact on POCD between TIVA and inhalational anesthesia were selected. All papers including cardiac, carotid, or neurosurgical procedures, and non-adult patients were excluded. Studies that only assessed cognitive function at the same day of surgery were also excluded. If the title and/or abstract suggested that a paper matched the inclusion and exclusion criteria, the full article was screened and assessed for eligibility.\u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section3\"\u003e \u003ch2\u003ePrimary objective\u003c/h2\u003e \u003cp\u003eFor our primary objective, we considered POCD - DCR assessed in the first 30 days postoperatively. When assessments were performed multiple times in the postoperative period, we selected the first measurement after surgery, excluding assessments at the same day of surgery.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003eSecondary objective\u003c/h2\u003e \u003cp\u003eFor our secondary aim, we focused only on papers evaluating POCD - pNCD between 30 days and 12 months postoperatively.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eMethodological quality and risk of bias analysis:\u003c/h2\u003e \u003cp\u003eThe methodological quality of the included studies for both objectives was assessed using the Cochrane Collaboration\u0026rsquo;s tool for assessing risk of bias in randomized trials (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e), which accounts for six potential risks of bias: selection, performance, detection, attrition, reporting, and other sources of bias. Ultimately, each domain was assessed as low, high, or unclear.\u003c/p\u003e \u003cp\u003eTwo investigators (DN and YAW) independently selected the studies, extracted the relevant information from the included trials, and assessed the risk of bias. In the case of disagreement, a third investigator (AO) resolved the conflict.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eOutcomes:\u003c/h2\u003e \u003cp\u003eThe outcome for the primary objective was the incidence of POCD - DCR, as described by the authors of the primary studies, in patients exposed to either TIVA or inhalational anesthesia in the first 30 days postoperatively. For the primary objective we estimated the odds ratio of POCD between the two groups. For the secondary objective, the outcome was POCD \u0026ndash; pNCD, also as defined the authors of the primary studies.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eData Synthesis and Statistical Analysis:\u003c/h2\u003e \u003cp\u003eAll analyses were performed using Stata version 15.1 (StataCorp LLC, College Station, Texas, USA). The percentage of the total variability in the set of effect sizes due to true heterogeneity was tested with the I\u003csup\u003e2\u003c/sup\u003e statistic. Random Effects Mantel-Haenszel model was used to estimate adjusted odds ratio and 95% confidence intervals for the pooled data for the primary objective.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eThe flowchart for data extraction is shown in \u003cb\u003eFigure 1\u003c/b\u003e. We identified \u003cb\u003e3,381\u003c/b\u003e total citations. After removal of duplicates, \u003cb\u003e1,913\u003c/b\u003e total unique citations were selected. After screening for eligibility criteria based on the title and/or the abstract, \u003cb\u003e19\u003c/b\u003e potentially eligible articles were retrieved in full text. \u003cb\u003eTen\u003c/b\u003e published studies were then selected for the primary objective, with \u003cb\u003e2\u003c/b\u003e additional studies being further included after hand searching on our reference lists. \u003cb\u003eFive\u003c/b\u003e studies were selected for the secondary objective.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003ePrimary Objective\u003c/h2\u003e \u003cp\u003eOverall, twelve studies compared TIVA vs. inhalational anesthesia reporting the incidence of POCD - DCR in both groups (\u003cb\u003eTable 2\u003c/b\u003e). The mean sample size among those studies was 303 subjects, considering both groups. In total, 1,818 participants were assigned to the TIVA group and 1,821 to inhalational anesthesia. The range of age among all the twelve studies varied from 20 to 86 years, with median age of 70 years. In the TIVA group, the median age was 70.58 years (20 - 86) whereas in the inhalational group, the median age was 69.43 years (24 \u0026ndash; 85). The pooled incidence of POCD in the TIVA group was 11.4%, while in the Inhalational group was 27.7%.\u003c/p\u003e \u003cp\u003eNine out of the twelve studies seemed to favor TIVA but failed to reach statistical significance. Moreover, three of those studies reached statistical significance (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). None of the included studies favored inhalational anesthesia. Consequently, the pooled OR significantly favored the use of TIVA (0.60; 95% CI = 0.40 - 0.91; p = 0.02) (\u003cb\u003eFigure 2)\u003c/b\u003e.\u003c/p\u003e \u003cp\u003eThe Random Effects Mantel-Haenszel model was used to estimate adjusted OR and 95% confidence intervals for the pooled data based on the value of the I\u003csup\u003e2\u003c/sup\u003e statistic, which was judged as high. We assumed a cut-off value of 75% for I\u003csup\u003e2\u003c/sup\u003e statistic to choose between models.\u003c/p\u003e \u003cp\u003eTwo studies used the Mini-Mental state examination (MMSE) as the only tool for evaluation (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e). Specific tests used by different authors in their respective studies are summarized in \u003cb\u003eTable 2\u003c/b\u003e. When more than one assessment of cognitive performance was conducted in the postoperative period, we chose the measurement closest to the day of surgery. Among studies with multiple testing in the first 30 postoperative days (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e - \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e), results were similar in all assessments, with the exception of one study (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e), in which cognitive decline was observed in inhalational group, compared to propofol, only in postoperative days one, two and three, but not in day ten. Consequently, we used data from 1st day after surgery from four studies (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e - \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e), day 2 from three studies (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e), day 7 from four studies (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) and day 10 in a single study (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe definition used to diagnose POCD - DCR varied a lot among those studies, ranging from a statistical difference in the means between pre- and postoperative values in MMSE, up to more sophisticated concepts, such as the Z-score or more than one SD in at least two different tests evaluating different cognitive domains, between pre- and postoperative values. Four studies used health controls not submitted to any surgery or anesthesia in the comparison (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). All included studies used monitoring of the level of consciousness, except for two (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn all included studies the type of opioids and regimen of administration were similar between groups. Most studies used sevoflurane as inhalational agent. Two studies used isoflurane (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e \u0026ndash; \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e), and one used desflurane (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe overall risk of bias in the included studies for the meta-analysis (\u003cb\u003eFigure 3)\u003c/b\u003e was judged as low in ten of the included studies, and unknown in only two (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eSecondary Objective\u003c/h2\u003e \u003cp\u003eCharacteristics of eligible studies for the secondary objective are shown in \u003cb\u003eTable 2\u003c/b\u003e. From the five included articles (\u003cspan additionalcitationids=\"CR4 CR5 CR6\" citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e), a total of 751 patients were included, 398 in the TIVA group, with a median age of 68.15 years (20 - 85), and 353 in the inhalational group, with a median age of 67.83 years (24 - 81). The range of age of the participants enrolled in all five studies varied from 20 to 85 years.\u003c/p\u003e \u003cp\u003eAs previously mentioned, the type of opioids used, and the regimen of administration were similar in both groups for all included studies. All included studies for the secondary objective used sevoflurane as inhalational agent.\u003c/p\u003e \u003cp\u003eThe overall risk of bias for the included studies \u003cb\u003e(Figure 3)\u003c/b\u003e indicated that the risk was low in four out of the five included studies. In Konishi et al. (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e), the risk of bias was judged as unknown.\u003c/p\u003e \u003cp\u003eIn the study by Kletecka et al. (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e), postoperative measurements were conducted at 42 days postoperatively, but authors only considered a diagnosis of POCD - pNCD if three of the following tests were altered: the Digital Span Test (Forward and Backward), the Letter Number Sequence Test, the Verbal Fluency, the Trail Making Test (TMT), A and B, and the Stroop Test. Egawa et al. (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) conducted another study using a definition of POCD - pNCD when there was a difference in means of tests scores of at least 20% between postoperative and preoperative scores. Postoperative measurements were performed three months after surgery. The tests used were the TMT (A and B), the Digit Span Forward and Backward, the Grooved Pegboard Test, as well as the MMSE. An additional study by Guo L. et al. (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e) used a difference of at least one SD preoperatively and three months postoperatively in two of the following tests: the Verbal Learning Test (Learning Trial and Delay), the Concept Shifting Task (part C), the Stroop Color Word test (Part 3), and the Letter Digit Coding. The author did not mention which specific tests were altered in the postoperative period. The study conducted by Konishi et al. (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) also considered altered scores in at least two tests and measurements three months postoperatively. Tests used were the Consortium to establish a registry for Alzheimer\u0026rsquo;s disease (CERAD), the Rey Auditory-Verbal Learning \u003cem\u003eTest\u003c/em\u003e (RAVLT), the TMT (A and B), the Digit Symbol Substitution \u003cem\u003eTest\u003c/em\u003e (DSST), the Controlled Oral Word Association \u003cem\u003eTest\u003c/em\u003e (COWAT), a Semantic Fluency Test, the grooved pegboard test (both dominant and non-dominant hands), as well as the MMSE. Finally, in the study conducted by Micha G. et al (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e), the authors diagnosed POCD based on a significant statistical difference between means of tests performed at 9 months postoperatively, compared to the preoperative results. Among the tests used, the ones reported as altered were: The Controlled Oral Word Association \u003cem\u003eTest\u003c/em\u003e (COWAt), the Stroop Neuropsychological Screening, the Clock Test, the Three Word-Three Shapes, the Babcock Story Recall, the Instrumental Activities Daily Living (IADLS) and the Trail Making-B.\u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe results from our systematic review and meta-analysis suggested that the incidence of POCD - DCR following the use of TIVA may be lower compared to inhalational anesthesia in the first 30 postoperative days. Even though we have succeeded in including a high total number of subjects in our review and meta-analysis, the heterogeneity in definitions of POCD - DCR, different psychometric tests used and its cuff-off values, among other factors, limit the reach of our conclusions. This is reflected in our heterogeneity analysis (I\u003csup\u003e2\u003c/sup\u003e = 85%). Our study suggests that the concept of POCD should be redifined into a more objective definition. Moreover, it would be of interest to evaluate a more basic cognitive domain, such as attention, in all awake and alert individuals, since it is well known from the literature that attention plays a pivotal role to the functions of all other cognitive domains. It is reasonable to assume that specific cognitive deficits, such as memory, executive function, among others, may reflect a subjacent attention impairment. Future research should focus on objective attention measurements prior to other specific cognitive domains. This would allow a reduction in heterogeneity on POCD research.\u003c/p\u003e \u003cp\u003eThe potential benefits of propofol and TIVA in POCD might be mediated through its positive effects in diminishing the inflammatory cascade. Evidence has shown that propofol has anti-inflammatory properties compared to inhalation agents (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e) as \u003cem\u003ein vivo\u003c/em\u003e study results have shown lower levels of circulating cytokines and other mediators of inflammation in animals injected with propofol (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). Inflammation has been associated with POCD in many different studies. An increase in various cytokines, including IL-6, TNF-α, IL- 8, and IL-10, have been correlated with postoperative cognitive impairment (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e). Recently, a meta-analysis was conducted assessing the association between various inflammatory biomarkers and POCD and concluded that higher postoperative C-reactive protein (n = 11 studies) and IL-6 (n = 17 studies) were associated with POCD (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). However, the possible role of the anesthetics in the inflammatory cascade is still yet to be clarified, with some evidence favoring the use of inhalational agents, such as sevoflurane, specifically in ischemia-reperfusion cell models (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e)\u003c/p\u003e \u003cp\u003eThe population enrolled in our work has a high median age, consequentially to the fact that most of the research on POCD involves older individuals. Only two of the included studies admitted patients younger than 60 years old (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Since the number of younger individuals was too small, we were not able to perform a stratification analysis by age. Even though all included studies relied on comparisons of the results of psychometric tests postoperative with the preoperative evaluation, only five studies used healthy controls not submitted to surgery or anesthesia in its study design (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e \u0026ndash; \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e), to make sure the cognitive decline was not consequence of the advanced age itself.\u003c/p\u003e \u003cp\u003eOne limitation that must be stressed refers to the fact that propofol was used in both groups in all included studies, at least as a single bolus agent at the induction phase of anesthesia. It\u0026rsquo;s uncertain if a single dose of propofol might exert any potential beneficial effects on POCD, consequentially to its potential effects at the inflammatory cascade, even considering that in TIVA group propofol is used in a continuous infusion through all the duration of the procedure. Maybe future studies in POCD should consider using another induction agent in the inhalational group, at the study design phase.\u003c/p\u003e \u003cp\u003eRegarding our secondary aim, we decided to proceed only with a systematic review of the literature, considering the few studies included and, consequently, the small number of subjects, given that the recommendations for testing between 30 days and 12 months postoperatively are relatively recent. Further studies, considering this testing period, are necessary in the future.\u003c/p\u003e \u003cp\u003eMost of these psychometric tests aim at a specific domain of cognitive function (\u003cb\u003eSupplementary Table 1).\u003c/b\u003e Many of these tests have been validated in different clinical scenarios, including the postoperative period (\u003cspan additionalcitationids=\"CR28 CR29 CR30 CR31 CR32 CR33\" citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e). It seems reasonable to hypothesize that different psychometric tests, targeting different cognitive domains, might differ in their ability to diagnose POCD. In addition, little attention has been spent on which specific tests and cognitive domains would be most likely altered in the postoperative period. So far, we have scarce evidence of which cognitive domains are more susceptible to POCD, with few data pointing towards the attention domain and executive function as potentially more affected in the postoperative period (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e). As mentioned earlier, the attention domain plays a pivotal role in cognition since its proper function is essential to the functioning of all other domains. However, all the studies included in this review established the diagnosis of POCD accepting any altered domain as equally valid. This should, as well, be an important topic for future research.\u003c/p\u003e \u003cp\u003eOnly two authors in our review reported which specific tests showed a significant difference in their postoperative assessment. One study reported that tests most frequently altered were the Semantic Verbal Fluency and the Letter Number Sequence Test, which measures the executive function and speed and visual space working memory cognitive domains (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). Another author reported that the COWAT, the Stroop Neuropsychological Screening, the Clock Test, the Three Word-Three Shapes, the Babcock Story Recall, the Instrumental Activities Daily Living (IADLS), and the TMT-B as the tests showed a difference in their postoperative assessment (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAdditionally, the application of psychometric tests for diagnosis of POCD that relies on a cut-off, such as one SD from the mean, or similar, could be insensitive for detecting minor but significant changes in cognitive status in the postoperative period. We hypothesize that the use of a test more focused on the attention domain, a pre-requisite for the proper function of all the other cognitive domains, applied as a continuous variable measured over time could potentially be more sensitive in detecting subtle changes in the cognitive function perioperatively. This should be an additional relevant topic for future research.\u003c/p\u003e \u003cp\u003eIt should be emphasized that ten out of the 12 studies we included in our present review titrated the level of anesthesia in both groups with the use of EEG-derived monitors, such as the BIS, all studies targeting a value between 40 and 60. The use of these devices might potentially lead to improved titration of anesthesia (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). Therefore, our results cannot be explained as consequence of monitoring the level of consciousness on a particular group.\u003c/p\u003e \u003cp\u003eIn conclusion, TIVA might be associated with a lower incidence of POCD, compared with inhalational anesthesia, at least in the first 30 postoperative days. However, future studies investigating POCD, should focus on assessments of attention because the validity of testing all other cognitive subdomains (e.g., memory, executive functions, etc.) relies on its integrity. This could also potentially reduce heterogeneity on POCD research.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eGlumac S, Kardum G, Karanovic N. Postoperative Cognitive Decline After Cardiac Surgery: A Narrative Review of Current Knowledge in 2019. Med Sci Monit. 2019;25:3262-70.\u003c/li\u003e\n\u003cli\u003eBallard C, Jones E, Gauge N, Aarsland D, Nilsen OB, Saxby BK, et al. 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Annu Rev Psychol. 2011;62:73-101.\u003c/li\u003e\n\u003cli\u003eHanning CD. Postoperative cognitive dysfunction. Br J Anaesth. 2005;95(1):82-7.\u003c/li\u003e\n\u003cli\u003eVide S, Gambus PL. Tools to screen and measure cognitive impairment after surgery and anesthesia. Presse Med. 2018;47(4 Pt 2):e65-e72.\u003c/li\u003e\n\u003cli\u003eSchmidt SL, Schmidt GJ, Padilla CS, Sim\u0026otilde;es EN, Tolentino JC, Barroso PR, et al. Decrease in Attentional Performance After Repeated Bouts of High Intensity Exercise in Association-Football Referees and Assistant Referees. Front Psychol. 2019;10:2014-.\u003c/li\u003e\n\u003cli\u003eSchmidt SL, Sim\u0026otilde;es EdN, Novais Carvalho AL. Association Between Auditory and Visual Continuous Performance Tests in Students With ADHD. J Atten Disord. 2019;23(6):635-40.\u003c/li\u003e\n\u003cli\u003eSim\u0026otilde;es EN, Carvalho ALN, Schmidt SL. The Role of Visual and Auditory Stimuli in Continuous Performance Tests: Differential Effects on Children With ADHD.\u0026nbsp;\u003cem\u003eJournal of Attention Disorders\u003c/em\u003e. 2021;25(1):53-62. doi:10.1177/1087054718769149\u003c/li\u003e\n\u003cli\u003eSim\u0026otilde;es EN, Padilla CS, Bezerra MS, Schmidt SL. Analysis of Attention Subdomains in Obstructive Sleep Apnea Patients. Front Psychiatry. 2018;9:435-.\u003c/li\u003e\n\u003cli\u003eHarvey PD. Domains of cognition and their assessment\u2029Dialogues Clin Neurosci. 2019;21(3):227-37.\u003c/li\u003e\n\u003cli\u003eSilverstein JH, Steinmetz J, Reichenberg A, Harvey PD, Rasmussen LS. Postoperative cognitive disfunction in patients with preoperative cognitive impairment: which domains are most vulnerable? Anesthesiology. 2007;106(3):431-5.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u003c/strong\u003e - Characteristics of included articles in the review and meta-analysis.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eMMSE (Mini-Mental state examination); CERAD (Consortium to establish a registry for Alzheimer\u0026rsquo;s disease); AVLT (Auditory-Verbal Learning \u003cem id=\"isPasted\"\u003e(AVLT); TMT A and B (\u003c/em\u003eTrail Making Test A and B); DSST (Digit Symbol Substitution \u003cem\u003eTest); COWAT (\u003c/em\u003eControlled Oral Word Association \u003cem\u003eTest; GPB d and nd (\u003c/em\u003eGrooved Pegboard Test dominant and non-dominant hand)\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"postoperative cognitive dysfunction (POCD), total intravenous anesthesia (TIVA), inhalational anesthesia.","lastPublishedDoi":"10.21203/rs.3.rs-1211887/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1211887/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePostoperative cognitive dysfunction (POCD) has been increasingly recognized as a contributor to postoperative complications. A consensus-working group recommended that POCD should be distinguished between delayed cognitive recovery, i.e., evaluations up to 30 days postoperative, and neurocognitive disorder, i.e., assessments performed between 30 days and 12 months after surgery. Additionally, the choice of the anesthetic, either inhalational or total intravenous anesthesia (TIVA) and its effect on the incidence of POCD, has become a focus of research. Our primary objective was to search the literature and conduct a meta-analysis to verify whether the choice of general anesthesia may impact the incidence of POCD in the first 30 days postoperatively. As a secondary objective, a systematic review of the literature was conducted to estimate the effects of the anesthetic on POCD between 30 days and 12 months postoperative. For the primary objective, an initial review of 1,913 articles yielded 12 studies with a total of 3,639 individuals. For the secondary objective, five studies with a total of 751 patients were selected. In the first 30 days postoperative, the odds-ratio for POCD in TIVA group was 0.60 (95% CI = 0.40 - 0.91; p = 0.02), compared to the inhalational group. TIVA was associated with a lower incidence of POCD in the first 30 days postoperatively. Regarding the secondary objective, due to the small number of selected articles and its high heterogeneity, a metanalysis was not conducted. Giving the heterogeneity of criteria for POCD, future prospective studies with more robust designs should be performed to fully address this question.\u003c/p\u003e","manuscriptTitle":"Incidence of Postoperative Cognitive Dysfunction Following Inhalational Vs. Total Intravenous General Anesthesia: A Systematic Review and Meta-Analysis.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-01-06 16:05:38","doi":"10.21203/rs.3.rs-1211887/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"c4e3b6f9-ab43-44dc-b1d3-e0bb3b81ae63","owner":[],"postedDate":"January 6th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":9562890,"name":"Cognitive Neuroscience"},{"id":9562891,"name":"Health Policy"},{"id":9562892,"name":"Neurology"}],"tags":[],"updatedAt":"2022-02-18T15:44:22+00:00","versionOfRecord":[],"versionCreatedAt":"2022-01-06 16:05:38","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1211887","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1211887","identity":"rs-1211887","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}