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Article

Longitudinal Study of the Association between General Anesthesia and Increased Risk of Developing Dementia

1
Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea
2
Division of Big Data and Artificial Intelligence, Institute of New Frontier Research, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea
3
Department of Anesthesiology and Pain Medicine, College of Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea
4
Department of Otorhinolaryngology-Head and Neck Surgery, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon 24253, Korea
*
Authors to whom correspondence should be addressed.
Both corresponding authors contributed equally to this work.
J. Pers. Med. 2021, 11(11), 1215; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111215
Submission received: 10 September 2021 / Revised: 24 October 2021 / Accepted: 13 November 2021 / Published: 16 November 2021
(This article belongs to the Section Epidemiology)

Abstract

:
The association between exposure to general anesthesia (GA) and the risk of dementia is still undetermined. To investigate a possible link to the development of dementia in older people who have undergone GA, we analyzed nationwide representative cohort sample data from the Korean National Health Insurance Service. The study cohort comprised patients over 55 years of age who had undergone GA between January 2003 and December 2004 and consisted of 3100 patients who had undergone GA and 12,400 comparison subjects who had not received anesthesia. After the nine-year follow-up period, we found the overall incidence of dementia was higher in the patients who had undergone GA than in the comparison group (10.5 vs. 8.8 per 1000 person-years), with the risk being greater for women (adjusted HR of 1.44; 95% CI, 1.19–1.75) and those with comorbidities (adjusted HR of 1.39; 95% CI, 1.18–1.64). Patients who underwent GA showed higher risks for Alzheimer’s disease and vascular dementia (adjusted HR of 1.52; 95% CI, 1.27–1.82 and 1.64; 95% CI, 1.15–2.33, respectively). This longitudinal study using a sample cohort based on a nationwide population sample demonstrated a significant positive association between GA and dementia, including Alzheimer’s disease and vascular dementia.

Graphical Abstract

1. Introduction

As the population ages, surgery is being performed more frequently and in progressively older adults [1]. Cognitive dysfunction is relatively common during the postoperative course of older adults, and anesthetics have been thought to be a possible contributor [2]. Postoperative cognitive dysfunction (POCD) after anesthesia and surgery is a common severe complication, especially in older patients. The one-week and three-month incidence of POCD in surgical patients aged over 60 years are 25.8–41.4% and 9.9–12.7%, respectively [3,4]. There is a perception that POCD may increase the risk of dementia and Alzheimer’s disease (AD). Dementia is the most common age-related disorder of the brain characterized by progressive cognitive and functional declines. AD is the most prevalent type of dementia. Its predominance is expected to increase as the aged population expands. Dementia imposes significant economic burdens on society. A better understanding of the relationship between dementia and surgery with anesthesia is critical.
In vivo and in vitro studies suggest that anesthetics increase brain AD pathology, although such effects seem to be mediated by only certain anesthetics. Animal models support this perception by demonstrating associations between GA exposure and AD pathogenesis. Inhaled or intravenous anesthetics could promote the formation of Aβ plaques and neurofibrillary tangles [5,6,7,8,9,10]. Cell models have found that inhaled anesthetics induced apoptosis and increased β-amyloid protein levels. Commonly used inhaled anesthetics may promote AD neuropathogenesis [11,12]. Multiple anesthetic agents trigger hyperphosphorylation of the microtubule-associated protein tau, which forms neurofibrillary tangles in AD patients [7,13]. However, the impact of GA on cognitive impairment including dementia is controversial and complex. Despite previous experimental reports, findings from human studies have not been consistent. In some previous studies, exposure to GA was observed to be significantly associated with an increased risk of dementia or AD [14,15,16,17,18], but in others no association was found [19,20,21,22,23,24,25,26]. Nationwide population-based cohort studies found significant associations between GA and dementia [17,27]. However, previous meta-analyses yielded conflicting results [28,29,30]. One meta-analysis reported a significant positive association between GA and AD [30], but others found only weak or no links [28,29]. Thus, any association between anesthesia and dementia remains unclear. Further investigation is needed.
Therefore, we evaluated the risk of dementia a large population-based cohort that had undergone GA. We used a large dataset provided by the National Health Insurance Service (KNHIS) of South Korea. We analyzed the risk of dementia, including AD and vascular dementia (VD), in patients who have undergone GA to identify GA as a potential risk factor using nationwide representative cohort sample data in the present study.

2. Materials and Methods

2.1. Korea National Health Insurance Service

This study adhered to the tenets of the Declaration of Helsinki and used data from the national health claims database collected by the KNHIS. It was approved by the Institutional Review Board of Hallym Medical University, Chuncheon Sacred Hospital (IRB No. 2021-08-006), and the need for written informed consent was waived as the KNHIS dataset used in the study comprised de-identified secondary data. KNHIS employs the Korean Classification of Diseases (KCD), which is very similar to the International Classification of Diseases, as a system of diagnostic practice codes. Here, we used a national sample cohort (NSC) dataset collected from 2002 to 2013 containing information for 1,025,340 representative random subjects and accounting for approximately 2.2% of the South Korean population in 2002 (46 million). Stratified random sampling was performed using 1476 strata with respect to age (18 groups), sex (two groups), and income level (41 groups: 40 health insurance and one medical aid beneficiary).

2.2. Study Population

We conducted a retrospective cohort study using the KNHIS-NSC database. The study cohort consisted of patients who underwent GA during the index period (1 January 2003, to 31 December 2004), and were over 55 years of age at cohort entry. To remove any potential pre-existing cases of GA, we established a washout period (1 January 2002, to 31 December 2002). Additionally, we excluded patients who: (1) underwent GA before or after the index period; (2) underwent other types of anesthesia from 2002 to 2013; (3) had a history of brain or heart surgery from 2002 to 2013; (4) were diagnosed with dementia before the index period; or (5) died of any cause from 2002 to 2013. The comparison group (patients who did not undergo anesthesia) comprised randomly selected propensity score–matched individuals from the remaining cohort registered in the database (four for each patient who underwent GA) between 2003 and 2004. Variables used in the process of the selection of the matched sample included sociodemographic factors (age, sex, residential area, and household income), comorbidities, and the enrolled date. The schematic description of the cohort design is presented in Figure 1. All enrolled patients were tracked until 2013, and patients diagnosed with dementia (AD (F00, G30), VD (F01), others (F02, F03)) were identified. All patients who experienced no events and were alive until 31 December 2013, were censored after this time point (Table A1).

2.3. Predictor and Outcome Variables

The study population was divided into three age groups (55–64, 65–74, ≥75 years), three income groups (low: ≤30%, middle: 30.1–69.9%, and high: ≥70% of the median), and three residential areas (1st area: Seoul, the largest metropolitan region in South Korea; 2nd area: other metropolitan cities in South Korea; and 3rd area: small cities and rural areas). The operational definitions of study endpoints were all-cause mortality or the incidence of dementia. All patients who had no events and were alive until 31 December 2013 were censored after this time point. The risks of dementia were compared between patients who underwent GA and comparison (without anesthesia) groups by using person-years at risk, which were defined as the duration between either the date of GA or the date of enrolment (for the comparison group) and the patient’s respective endpoint. In this study, comorbidities, including hypertension (I10–15), diabetes mellitus (E10–14), stroke (I60–63), and disorders of lipoprotein metabolism and other lipidemias (E78), were obtained based on the diagnostic code of the KNHIS dataset.

2.4. Sensitivity Test

We selected patients who were diagnosed with dementia (AD (F00, G30), VD (F01), and others (F02, F03)) over 65 years of age from this dataset during 2012–2013. For the matched comparison group, we selected patients who had not been diagnosed with dementia (through 2002–2013) at age over 65 years from this dataset during 2012–2013. The comparison group (two patients for every one patient with dementia) was obtained by using propensity score matching, according to age, sex, residential area, household income, and comorbidities (Table A2). Finally, using the analysis of sensitivity test results, we excluded all patients who had a history of brain or heart surgery between 2002 and 2013.

2.5. Statistical Analysis

We employed propensity score-matching according to age, sex, residential area, household income, and comorbidities. Incidence rates per 1000 person-years for dementia were obtained by dividing the number of patients with dementia by person-years at risk. The overall disease-free survival rate was determined using Kaplan–Meier survival curves for the entire observation period. To identify whether GA increased the risk of occurrence of dementia, we used Cox proportional hazard regression to calculate the hazard ratio (HR) and 95% confidence interval (CI), adjusting for other predictor variables. The Levene test was performed to test homogeneity, and the Welch analysis of variance was completed to investigate the difference in the frequency of GA. All statistical analyses were performed using R version 3.3.1 (R Foundation for Statistical Computing, Vienna, Austria) with a significance level of 0.05.

3. Results

3.1. Effect of General Anesthesia on the Incidence of Dementia in Patients Older Than 55 Years

The present study consisted of 3100 patients who underwent GA and 12,400 comparison subjects (patients who did not undergo anesthesia). The characteristics of the study population for the two cohorts (the GA group and the comparison group) are presented in Table 1. There were similar distributions of sex, age, residential area, household income, and comorbidities between the two groups because each variable was matched appropriately (Figure 2). We found that the overall incidence of dementia was higher in the patients who underwent GA (10.5 per 1000 person-years) than in the comparison group (8.8 per 1000 person-years) (Table 2).

3.2. Hazard Ratios for Dementia in Patients Aged over 55 Years Who Underwent General Anesthesia

To analyze the HR for the development of dementia, we used simple and multiple Cox regression models (Table 2). After adjusting for sociodemographic factors and comorbidities, the GA group was found to be associated with prospective dementia development with an adjusted HR of 1.36 (95% CI, 1.16–1.58). In addition, we found that increasing age, lower household income, and comorbidities were significantly associated with the prospective development of dementia. Figure 3 presents the Kaplan–Meier survival curves with log-rank tests for the cumulative hazard plot of dementia between the comparison and GA groups. The results of the log-rank test indicated that patients who underwent GA developed dementia more frequently than patients who did not undergo anesthesia during the nine-year follow-up period.
On subgroup analysis, we observed a significant likelihood of dementia development in females (adjusted HR of 1.44; 95% CI, 1.19–1.75) and subjects with comorbidities (adjusted HR of 1.39; 95% CI, 1.18–1.64) (Table 3 and Table 4). Moreover, we detected that the adjusted HR of developing AD and VD in patients ≥55 who underwent GA during the nine-year follow-up period was 1.52 (95% CI, 1.27–1.82) and 1.64 (95% CI, 1.15–2.33), respectively, compared with the comparison group (Table 5). The Kaplan–Meier survival curves with log-rank tests for AD and VD during the nine-year follow-up period are presented in Figure 4.

3.3. Sensitivity Test for Effect of General Anesthesia on the Incidence of Dementia

To determine whether our findings reflected an incidental temporal relation between GA and dementia, we performed sensitivity analyses. From 2012 to 2013, we retrospectively counted the frequency of GA events between the dementia and non-dementia groups to 2002 (Table 6). The dementia group experienced significantly more frequent events of GA compared to the comparison group (p < 0.001) (Table 7). Thus, this test could support our findings regarding the association of GA with increased dementia.

4. Discussion

The present study investigated the incidence of dementia in middle-aged and older patients (≥55 years) who had undergone GA and compared them with matched subjects who had not undergone anesthesia using KNHIS-NSC data. The overall incidence of dementia during the nine-year follow-up period was higher in the patients who underwent GA than in the comparison group (10.5 vs. 8.8 per 1000 person-years). We found that the GA group was associated with prospective dementia development, with the risk being greater for female patients and those with combined comorbidities. Moreover, the patients who underwent GA showed higher risks for both AD and VD.
POCD is a common severe complication after GA, especially in older patients. POCD is characterized by a loss of attention, memory impairment, and personality changes that persist for months or years. However, a link to other cognitive disorders such as dementia has not been made clear. Despite some experimental data obtained in cell and animal models suggesting a relationship between anesthesia and neurotoxicity in older adults, a definitive link remains elusive in humans [9]. Some experimental studies suggest that anesthetic exposure impairs cognitive function and increases pathology commonly associated with AD. Some in vitro [5,11,31] and animal [11,13,32] studies have demonstrated increased production and aggregation of β-amyloid peptides. Although these experimental data suggested a significant association between GA and AD, evidence from human clinical studies is controversial.
Previous observational studies found either an increased risk of developing dementia following exposure to GA [17,18,33] or no increase in risk [24,26,34]. Two previous meta-analyses [17,29] and a reanalysis [35] reported no evidence of a significant relationship between GA and dementia. Another meta-analysis, which included more recently published literature, demonstrated a significant positive association between GA and AD [30]. Our longitudinal study using a sample cohort based on a nationwide population suggested that GA can increase the risk of dementia over a long period. By contrast, large, retrospective, population-based, nested case-control and prospective cohort studies found a lack of association between GA and dementia [26,34]. However, these studies were limited by small samples and short follow-up duration. Similar to our study, one nationwide retrospective cohort study in Taiwan reported that patients undergoing GA showed an increased risk of developing dementia [18]. Additionally, another nationwide population-based cohort study in South Korea reported a significant association between GA and dementia [27].
In our study, the GA group was found to be associated with prospective dementia development with an adjusted HR of 1.36 after adjusting for sociodemographic factors and comorbidities. In subgroup analysis, a significant increase of the risk of dementia was found in females and in subjects with comorbidities. Another large retrospective cohort study comparing outcomes in patients undergoing GA as compared with nonsurgical controls found adjusted HRs of 1.29 and 1.46 of developing dementia in those who underwent GA [18,27], similar to the results of our study. In subgroup analysis of these studies, one study found increased risk of dementia in patients who had received multiple anesthesia agents and who had had multiple exposures to GA [36], whereas another study found no significant difference in the incidence of dementia between patients with exposure to anesthesia at least twice and exposure only once within a year [18]. However, our study had a unique advantage compared with other nationwide cohort studies. In this study, we performed the sensitivity test to confirm whether our findings reflected an incidental temporal relation between GA and dementia. The result of the sensitivity test supported our findings regarding the association between GA and dementia. Further research is needed on the relationship between the number of exposures to anesthesia and the risk of dementia.
Moreover, we detected a high risk of developing VD in addition to AD in patients ≥ 55 years of age who underwent GA during the nine-year follow-up period, compared with the comparison group. A previous study examined differences in risk factors and with regard to behavior in subjects with VD and probable AD. VD subjects were more likely to have a history of GA, and the authors concluded that GA is a risk factor for VD [37]. Recent clinical studies have shown that preoperative white matter lesions, produced by chronic cerebral hypoperfusion, are frequently observed in older people and are a serious and significant risk factor for postoperative delirium and POCD [38,39,40]. Previous experimental studies also demonstrated that persistent hypocapnea or hypotension caused neuronal damage in the caudoputamen or the hippocampus in a rat model of chronic cerebral hypoperfusion, which features global cerebral white matter lesions without neuronal damage and is recognized as a good model of human VD, especially in older people [41,42]. Thus, it was suggested that, in addition to the possible proposed mechanisms of neuroinflammation and neurodegeneration, i.e., amyloid β accumulation and/or tau protein phosphorylation, perioperative vital sign changes that cause reductions in cerebral blood flow might contribute to POCD in patients with white matter lesions, whose cerebral blood flow is already considerably decreased [43,44]. However, studies on the relationship between VD and GA are lacking, and further studies are needed to determine the relationship between these two factors in the future.
Moreover, typical sporadic AD is likely to be driven by a complex interplay between genetic and environmental factors that develops over decades. It is now thought that ~70% of AD risk is attributable to genetic factors [45]. The pathophysiological process of AD is thought to begin many years before the diagnosis of AD dementia. Emerging evidence from both genetic at-risk and aging cohorts suggests that there is a time lag of a decade or more between the beginning of the pathological cascade of AD and the onset of clinically evident impairment [46]. A low pre-operative cognitive reserve may affect the link between anesthesia and long-term or persistent POCD [47,48]. Preclinical in vivo studies found that pre-symptomatic AD transgenic mice evidenced more cognitive dysfunction after surgery than did controls [49]. Clinical studies also found that pre-existing brain dysfunction was a risk factor for post-operative delirium and POCD, despite the absence of any obvious residual neurological deficits at the time of surgery [4,50]. Therefore, although our analysis excluded individuals with dementia diagnosed before and during the index period or with a long follow-up period, we do not have detailed information on the cognitive function or brain imaging of individuals before GA, so it is possible that there may have been baseline differences between the GA exposure and comparison groups in cognition or preclinical AD or VD pathology that are not captured in our databases. Moreover, a baseline difference probably exists between patients who underwent GA and not. The former exhibited pathologies that necessitated GA. We found it difficult to evaluate the effects of various surgeries, intra-operative events, and perioperative complications, such as hypoxia and hemodynamic instability. Although no effect of surgery per se on dementia risk was established, high-risk surgeries (such as cardiac surgery) have been reported to increase the risk of cognitive impairments, including delirium and postoperative cognitive dysfunction [51,52]. To overcome these limitations, it is necessary to evaluate the outcomes in patients with the same pathologies who underwent local anesthesia and GA.
Additionally, our study has several limitations. This study had a retrospective design, and thus there is the potential that unmeasured confounders may not have been accounted for. This study design would not be able to separate the effects of GA exposure from the effects of surgical stress and other potential confounders regarding pre- or post-operative situations. The KNHIS–NSC dataset focuses on medical claims and reimbursements. This is not a research dataset. The representative, nationwide, population-based dataset contains information on the medical service utilization of more than 1 million Koreans. A total of 1,025,340 participants of the cohort, 2.2% of the total eligible population, were randomly sampled from the 2002 Korean (nationwide) health insurance database to obtain baseline data. Cohort participants were followed for 11 years, until 2013 [53]. However, this database does not include detailed information related to anesthetics, such as the specific medications or quantities of administered medication, which may influence postoperative cognitive outcomes or dementia. Moreover, other confounding factors such as drug consumption could not be controlled in our study. For example, our study did not include analyses of drug use affecting cognitive function, such as sedative-hypnotics, during the nine-year follow-up period. Thus, we lacked information on drugs that might to increase the risk of dementia or cognitive impairment, and this is a limitation of the work. In addition, the database did not include drug compliance and lifestyle factors, such as smoking and alcohol consumption, so these possible confounding factors could not be considered in our study. This was an inevitable limitation when using claim data without the information concerning actual drug administration. However, the principal limitation is the lack of data on possible confounding factors. It is thus possible that unmeasured confounders were in play. Thus, it may be difficult to conclude that our results reflect only an effect of GA. More precise result could be obtained when controlling for all possible confounding factors, indicating that a prospective cohort study that can control for all possible factors needs to be conducted.
Our large population study has a washout period for anesthesia of one year and excluded patients with additional anesthesia after the index period, to evaluate only the effect of GA during the index period. Furthermore, we perfectly matched the GA and non-GA groups using propensity scores for several variables, including age, sex, residence, household income, and comorbidities, and the effect of the matching variables on dementia showed similarity to previous studies. To prove our findings, we also performed sensitivity analyses. Their results revealed a higher frequency of GA event experience in patients with dementia. Future prospective studies should examine the association between the GA and dementia, including AD or VD in broader patient populations with long-term follow-up.

5. Conclusions

The present study investigated a possible link between GA and the development of dementia in middle-aged and older patients (≥55 years). We found that patients who underwent GA had a higher risk of developing dementia, with the risk being greater for female patients and those with combined comorbidities. Additionally, patients who had undergone GA showed higher risks for AD and VD, respectively. However, further studies are needed to elucidate the association/causality between GA and subsequent dementia.

Author Contributions

Conception and design of the work, J.-H.S. and Y.-S.K.; acquisition of data for the work, H.Y. and D.-K.K.; analysis and interpretation of data for the work, J.-H.S., J.J.L., S.-H.L., C.K., H.Y., Y.-S.K., and D.-K.K.; writing—original draft preparation, J.-H.S.; writing—review and editing, D.-K.K. and Y.-S.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HR21C0198). Moreover, this research was supported by ‘R&D Program for Forest Science Technology (Project No. FTIS-2021397A00-2123-0107)’ provided by Korea Forest Service (Korea Forestry Promotion Institute).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Clinical Research Ethics Committee of Chuncheon Sacred Heart Hospital, Hallym University (IRB No. 2021-08-006).

Informed Consent Statement

Not applicable.

Conflicts of Interest

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

Appendix A

Table A1. Description of time to event and censored data.
Table A1. Description of time to event and censored data.
The Number of Dementia Events
Event1015
 Non-anesthesia775
 General anesthesia240
Total censored (No event)14,485
 Non-anesthesia11,625
 General anesthesia2860
Termination of study8587
 Non-anesthesia6446
 General anesthesia2141
Loss to follow up/Drop-out5898
 Non-anesthesia5179
 General anesthesia719
Table A2. Detailed characteristics of the dataset for sensitivity.
Table A2. Detailed characteristics of the dataset for sensitivity.
VariablesComparison
(n = 18,706)
Dementia
(n = 9353)
p Value
Sex 0.929
 Male5239 (28.0%)2614 (27.9%)
 Female13,467 (72.0%)6739 (72.1%)
Ages (years) 1.000
 65–744260 (22.8%)2130 (22.8%)
 75–849310 (49.8%)4655 (49.8%)
 ≥855136 (27.5%)2568 (27.5%)
Residence 0.588
 Seoul2562 (13.7%)1281 (13.7%)
 Second area4506 (24.1%)2304 (24.6%)
 Third area11,638 (62.2%)5768 (61.7%)
Household income 0.990
 Low (0–30%)6267 (33.5%)3140 (33.6%)
 Middle (30–70%)4140 (22.1%)2064 (22.1%)
 High (70–100%)8299 (44.4%)4149 (44.4%)
Comorbidities 0.688
 No2697 (14.4%)1366 (14.6%)
 Yes16,009 (85.6%)7987 (85.4%)
Seoul, the largest metropolitan area; second area, other metropolitan cities; third area, other areas.

References

  1. Etzioni, D.A.; Liu, J.H.; Maggard, M.A.; Ko, C.Y. The aging population and its impact on the surgery workforce. Ann. Surg. 2003, 238, 170–177. [Google Scholar] [CrossRef] [PubMed]
  2. Hussain, M.; Berger, M.; Eckenhoff, R.G.; Seitz, D.P. General anesthetic and the risk of dementia in elderly patients: Current insights. Clin. Interv. Aging 2014, 9, 1619–1628. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Moller, J.T.; Cluitmans, P.; Rasmussen, L.S.; Houx, P.; Rasmussen, H.; Canet, J.; Rabbitt, P.; Jolles, J.; Larsen, K.; Hanning, C.D.; et al. Long-term postoperative cognitive dysfunction in the elderly ISPOCD1 study. ISPOCD investigators. International Study of Post-Operative Cognitive Dysfunction. Lancet 1998, 351, 857–861. [Google Scholar] [CrossRef]
  4. Monk, T.G.; Weldon, B.C.; Garvan, C.W.; Dede, D.E.; van der Aa, M.T.; Heilman, K.M.; Gravenstein, J.S. Predictors of cognitive dysfunction after major noncardiac surgery. Anesthesiology 2008, 108, 18–30. [Google Scholar] [CrossRef] [Green Version]
  5. Eckenhoff, R.G.; Johansson, J.S.; Wei, H.; Carnini, A.; Kang, B.; Wei, W.; Pidikiti, R.; Keller, J.M.; Eckenhoff, M.F. Inhaled anesthetic enhancement of amyloid-beta oligomerization and cytotoxicity. Anesthesiology 2004, 101, 703–709. [Google Scholar] [CrossRef]
  6. Ikeda, Y.; Ishiguro, K.; Fujita, S.C. Ether stress-induced Alzheimer-like tau phosphorylation in the normal mouse brain. FEBS Lett. 2007, 581, 891–897. [Google Scholar] [CrossRef] [Green Version]
  7. Planel, E.; Richter, K.E.; Nolan, C.E.; Finley, J.E.; Liu, L.; Wen, Y.; Krishnamurthy, P.; Herman, M.; Wang, L.; Schachter, J.B.; et al. Anesthesia leads to tau hyperphosphorylation through inhibition of phosphatase activity by hypothermia. J. Neurosci. 2007, 27, 3090–3097. [Google Scholar] [CrossRef] [Green Version]
  8. Bianchi, S.L.; Tran, T.; Liu, C.; Lin, S.; Li, Y.; Keller, J.M.; Eckenhoff, R.G.; Eckenhoff, M.F. Brain and behavior changes in 12-month-old Tg2576 and nontransgenic mice exposed to anesthetics. Neurobiol. Aging 2008, 29, 1002–1010. [Google Scholar] [CrossRef] [Green Version]
  9. Bittner, E.A.; Yue, Y.; Xie, Z. Brief review: Anesthetic neurotoxicity in the elderly, cognitive dysfunction and Alzheimer’s disease. Can. J. Anaesth. 2011, 58, 216–223. [Google Scholar] [CrossRef] [Green Version]
  10. Kim, J.H.; Jung, H.; Lee, Y.; Sohn, J.H. Surgery Performed Under Propofol Anesthesia Induces Cognitive Impairment and Amyloid Pathology in ApoE4 Knock-In Mouse Model. Front. Aging Neurosci. 2021, 13, 658860. [Google Scholar] [CrossRef]
  11. Dong, Y.; Zhang, G.; Zhang, B.; Moir, R.D.; Xia, W.; Marcantonio, E.R.; Culley, D.J.; Crosby, G.; Tanzi, R.E.; Xie, Z. The common inhalational anesthetic sevoflurane induces apoptosis and increases beta-amyloid protein levels. Arch. Neurol. 2009, 66, 620–631. [Google Scholar] [CrossRef]
  12. Zhen, Y.; Dong, Y.; Wu, X.; Xu, Z.; Lu, Y.; Zhang, Y.; Noron, D.; Tian, M.; Li, S.; Xie, Z. Nitrous Oxide Plus Isoflurane Induces Apoptosis and Increases β-Amyloid Protein Levels. Anesthesiology 2009, 111, 741–752. [Google Scholar] [CrossRef] [Green Version]
  13. Whittington, R.A.; Virág, L.; Marcouiller, F.; Papon, M.A.; El Khoury, N.B.; Julien, C.; Morin, F.; Emala, C.W.; Planel, E. Propofol directly increases tau phosphorylation. PLoS ONE 2011, 6, e16648. [Google Scholar] [CrossRef] [Green Version]
  14. Lee, T.A.; Wolozin, B.; Weiss, K.B.; Bednar, M.M. Assessment of the emergence of Alzheimer’s disease following coronary artery bypass graft surgery or percutaneous transluminal coronary angioplasty. J. Alzheimer’s Dis. 2005, 7, 319–324. [Google Scholar] [CrossRef]
  15. Bufill, E.; Bartés, A.; Moral, A.; Casadevall, T.; Codinachs, M.; Zapater, E.; Carles Rovira, J.; Roura, P.; Oliva, R.; Blesa, R. Genetic and environmental factors that may influence in the senile form of Alzheimer’s disease: Nested case control studies. Neurologia 2009, 24, 108–112. [Google Scholar]
  16. Ritchie, K.; Carrière, I.; Ritchie, C.W.; Berr, C.; Artero, S.; Ancelin, M.L. Designing prevention programmes to reduce incidence of dementia: Prospective cohort study of modifiable risk factors. BMJ 2010, 341, c3885. [Google Scholar] [CrossRef] [Green Version]
  17. Chen, C.W.; Lin, C.C.; Chen, K.B.; Kuo, Y.C.; Li, C.Y.; Chung, C.J. Increased risk of dementia in people with previous exposure to general anesthesia: A nationwide population-based case-control study. Alzheimer’s Dement. 2014, 10, 196–204. [Google Scholar] [CrossRef]
  18. Chen, P.L.; Yang, C.W.; Tseng, Y.K.; Sun, W.Z.; Wang, J.L.; Wang, S.J.; Oyang, Y.J.; Fuh, J.L. Risk of dementia after anaesthesia and surgery. Br. J. Psychiatry 2014, 204, 188–193. [Google Scholar] [CrossRef] [Green Version]
  19. Amaducci, L.A.; Fratiglioni, L.; Rocca, W.A.; Fieschi, C.; Livrea, P.; Pedone, D.; Bracco, L.; Lippi, A.; Gandolfo, C.; Bino, G.; et al. Risk factors for clinically diagnosed Alzheimer’s disease: A case-control study of an Italian population. Neurology 1986, 36, 922–931. [Google Scholar] [CrossRef]
  20. Li, G.; Shen, Y.C.; Li, Y.T.; Chen, C.H.; Zhau, Y.W.; Silverman, J.M. A case-control study of Alzheimer’s disease in China. Neurology 1992, 42, 1481–1488. [Google Scholar] [CrossRef]
  21. Canadian Study of Health and Aging. The Canadian Study of Health and Aging: Risk factors for Alzheimer’s disease in Canada. Neurology 1994, 44, 2073–2080. [Google Scholar] [CrossRef]
  22. Bohnen, N.; Warner, M.A.; Kokmen, E.; Kurland, L.T. Early and midlife exposure to anesthesia and age of onset of Alzheimer’s disease. Int. J. Neurosci. 1994, 77, 181–185. [Google Scholar] [CrossRef]
  23. Gasparini, M.; Vanacore, N.; Schiaffini, C.; Brusa, L.; Panella, M.; Talarico, G.; Bruno, G.; Meco, G.; Lenzi, G.L. A case-control study on Alzheimer’s disease and exposure to anesthesia. Neurol. Sci. 2002, 23, 11–14. [Google Scholar] [CrossRef]
  24. Sprung, J.; Jankowski, C.J.; Roberts, R.O.; Weingarten, T.N.; Aguilar, A.L.; Runkle, K.J.; Tucker, A.K.; McLaren, K.C.; Schroeder, D.R.; Hanson, A.C.; et al. Anesthesia and incident dementia: A population-based, nested, case-control study. Mayo Clin. Proc. 2013, 88, 552–561. [Google Scholar] [CrossRef] [Green Version]
  25. Tsuda, Y.; Yasunaga, H.; Horiguchi, H.; Ogawa, S.; Kawano, H.; Tanaka, S. Association between dementia and postoperative complications after hip fracture surgery in the elderly: Analysis of 87,654 patients using a national administrative database. Arch. Orthop. Trauma Surg. 2015, 135, 1511–1517. [Google Scholar] [CrossRef]
  26. Aiello Bowles, E.J.; Larson, E.B.; Pong, R.P.; Walker, R.L.; Anderson, M.L.; Yu, O.; Gray, S.L.; Crane, P.K.; Dublin, S. Anesthesia Exposure and Risk of Dementia and Alzheimer’s Disease: A Prospective Study. J. Am. Geriatr. Soc. 2016, 64, 602–607. [Google Scholar] [CrossRef] [Green Version]
  27. Kim, C.T.; Myung, W.; Lewis, M.; Lee, H.; Kim, S.E.; Lee, K.; Lee, C.; Choi, J.; Kim, H.; Carroll, B.J.; et al. Exposure to General Anesthesia and Risk of Dementia: A Nationwide Population-Based Cohort Study. J. Alzheimer’s Dis. 2018, 63, 395–405. [Google Scholar] [CrossRef]
  28. Seitz, D.P.; Shah, P.S.; Herrmann, N.; Beyene, J.; Siddiqui, N. Exposure to general anesthesia and risk of Alzheimer’s disease: A systematic review and meta-analysis. BMC Geriatr. 2011, 11, 83. [Google Scholar] [CrossRef] [Green Version]
  29. Jiang, J.; Dong, Y.; Huang, W.; Bao, M. General anesthesia exposure and risk of dementia: A meta-analysis of epidemiological studies. Oncotarget 2017, 8, 59628–59637. [Google Scholar] [CrossRef] [Green Version]
  30. Lee, J.J.; Choi, G.J.; Kang, H.; Baek, C.W.; Jung, Y.H.; Shin, H.Y.; Park, Y.H.; Woo, Y.C. Relationship between Surgery under General Anesthesia and the Development of Dementia: A Systematic Review and Meta-Analysis. BioMed Res. Int. 2020, 2020, 3234013. [Google Scholar] [CrossRef]
  31. Xie, Z.; Dong, Y.; Maeda, U.; Alfille, P.; Culley, D.J.; Crosby, G.; Tanzi, R.E. The common inhalation anesthetic isoflurane induces apoptosis and increases amyloid beta protein levels. Anesthesiology 2006, 104, 988–994. [Google Scholar] [CrossRef] [PubMed]
  32. Perucho, J.; Rubio, I.; Casarejos, M.J.; Gomez, A.; Rodriguez-Navarro, J.A.; Solano, R.M.; De Yébenes, J.G.; Mena, M.A. Anesthesia with isoflurane increases amyloid pathology in mice models of Alzheimer’s disease. J. Alzheimer’s Dis. 2010, 19, 1245–1257. [Google Scholar] [CrossRef] [PubMed]
  33. Liu, Y.; Pan, N.; Ma, Y.; Zhang, S.; Guo, W.; Li, H.; Zhou, J.; Liu, G.; Gao, M. Inhaled sevoflurane may promote progression of amnestic mild cognitive impairment: A prospective, randomized parallel-group study. Am. J. Med. Sci. 2013, 345, 355–360. [Google Scholar] [CrossRef] [PubMed]
  34. Sprung, J.; Roberts, R.O.; Knopman, D.S.; Olive, D.M.; Gappa, J.L.; Sifuentes, V.L.; Behrend, T.L.; Farmer, J.D.; Weingarten, T.N.; Hanson, A.C.; et al. Association of Mild Cognitive Impairment with Exposure to General Anesthesia for Surgical and Nonsurgical Procedures: A Population-Based Study. Mayo Clin. Proc. 2016, 91, 208–217. [Google Scholar] [CrossRef] [Green Version]
  35. Breteler, M.M.; van Duijn, C.M.; Chandra, V.; Fratiglioni, L.; Graves, A.B.; Heyman, A.; Jorm, A.F.; Kokmen, E.; Kondo, K.; Mortimer, J.A.; et al. Medical history and the risk of Alzheimer’s disease: A collaborative re-analysis of case-control studies. EURODEM Risk Factors Research Group. Int. J. Epidemiol. 1991, 20 (Suppl. 2), S36–S42. [Google Scholar] [CrossRef]
  36. Velkers, C.; Berger, M.; Gill, S.S.; Eckenhoff, R.; Stuart, H.; Whitehead, M.; Austin, P.C.; Rochon, P.A.; Seitz, D. Association Between Exposure to General Versus Regional Anesthesia and Risk of Dementia in Older Adults. J. Am. Geriatr. Soc. 2021, 69, 58–67. [Google Scholar] [CrossRef]
  37. Cooper, J.K.; Mungas, D. Risk factor and behavioral differences between vascular and Alzheimer’s dementias: The pathway to end-stage disease. J. Geriatr. Psychiatry Neurol. 1993, 6, 29–33. [Google Scholar] [CrossRef]
  38. Maekawa, K.; Baba, T.; Otomo, S.; Morishita, S.; Tamura, N. Low pre-existing gray matter volume in the medial temporal lobe and white matter lesions are associated with postoperative cognitive dysfunction after cardiac surgery. PLoS ONE 2014, 9, e87375. [Google Scholar] [CrossRef]
  39. Kant, I.M.J.; de Bresser, J.; van Montfort, S.J.T.; Slooter, A.J.C.; Hendrikse, J. MRI Markers of Neurodegenerative and Neurovascular Changes in Relation to Postoperative Delirium and Postoperative Cognitive Decline. Am. J. Geriatr. Psychiatry 2017, 25, 1048–1061. [Google Scholar] [CrossRef]
  40. Hatano, Y.; Narumoto, J.; Shibata, K.; Matsuoka, T.; Taniguchi, S.; Hata, Y.; Yamada, K.; Yaku, H.; Fukui, K. White-matter hyperintensities predict delirium after cardiac surgery. Am. J. Geriatr. Psychiatry 2013, 21, 938–945. [Google Scholar] [CrossRef]
  41. Miyamoto, E.; Tomimoto, H.; Nakao Si, S.; Wakita, H.; Akiguchi, I.; Miyamoto, K.; Shingu, K. Caudoputamen is damaged by hypocapnia during mechanical ventilation in a rat model of chronic cerebral hypoperfusion. Stroke 2001, 32, 2920–2925. [Google Scholar] [CrossRef] [Green Version]
  42. Yamamoto, T.; Iwamoto, T.; Kimura, S.; Nakao, S. Persistent isoflurane-induced hypotension causes hippocampal neuronal damage in a rat model of chronic cerebral hypoperfusion. J. Anesth. 2018, 32, 182–188. [Google Scholar] [CrossRef]
  43. Snyder, B.; Simone, S.M.; Giovannetti, T.; Floyd, T.F. Cerebral Hypoxia: Its Role in Age-Related Chronic and Acute Cognitive Dysfunction. Anesth. Analg. 2021, 132, 1502–1513. [Google Scholar] [CrossRef]
  44. Nakao, S.; Yamamoto, T.; Kimura, S.; Mino, T.; Iwamoto, T. Brain white matter lesions and postoperative cognitive dysfunction: A review. J. Anesth. 2019, 33, 336–340. [Google Scholar] [CrossRef]
  45. Lane, C.A.; Hardy, J.; Schott, J.M. Alzheimer’s disease. Eur. J. Neurol. 2018, 25, 59–70. [Google Scholar] [CrossRef]
  46. Sperling, R.A.; Aisen, P.S.; Beckett, L.A.; Bennett, D.A.; Craft, S.; Fagan, A.M.; Iwatsubo, T.; Jack, C.R., Jr.; Kaye, J.; Montine, T.J.; et al. Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement. 2011, 7, 280–292. [Google Scholar] [CrossRef] [Green Version]
  47. Bilotta, F.; Doronzio, A.; Stazi, E.; Titi, L.; Fodale, V.; Di Nino, G.; Rosa, G. Postoperative cognitive dysfunction: Toward the Alzheimer’s disease pathomechanism hypothesis. J. Alzheimer’s Dis. 2010, 22 (Suppl. 3), 81–89. [Google Scholar] [CrossRef]
  48. Belrose, J.C.; Noppens, R.R. Anesthesiology and cognitive impairment: A narrative review of current clinical literature. BMC Anesthesiol. 2019, 19, 241. [Google Scholar] [CrossRef]
  49. Tang, J.X.; Mardini, F.; Janik, L.S.; Garrity, S.T.; Li, R.Q.; Bachlani, G.; Eckenhoff, R.G.; Eckenhoff, M.F. Modulation of murine Alzheimer pathogenesis and behavior by surgery. Ann. Surg. 2013, 257, 439–448. [Google Scholar] [CrossRef] [Green Version]
  50. Marcantonio, E.R.; Goldman, L.; Mangione, C.M.; Ludwig, L.E.; Muraca, B.; Haslauer, C.M.; Donaldson, M.C.; Whittemore, A.D.; Sugarbaker, D.J.; Poss, R.; et al. A clinical prediction rule for delirium after elective noncardiac surgery. JAMA 1994, 271, 134–139. [Google Scholar] [CrossRef]
  51. Deiner, S.; Silverstein, J.H. Postoperative delirium and cognitive dysfunction. Br. J. Anaesth. 2009, 103 (Suppl. 1), i41–i46. [Google Scholar] [CrossRef] [Green Version]
  52. Cerejeira, J.; Batista, P.; Nogueira, V.; Vaz-Serra, A.; Mukaetova-Ladinska, E.B. The stress response to surgery and postoperative delirium: Evidence of hypothalamic-pituitary-adrenal axis hyperresponsiveness and decreased suppression of the gh/igf-1 axis. J. Geriatr. Psychiatry Neurol. 2013, 26, 185–194. [Google Scholar] [CrossRef]
  53. Lee, J.; Lee, J.S.; Park, S.-H.; Shin, S.A.; Kim, K. Cohort Profile: The National Health Insurance Service–National Sample Cohort (NHIS-NSC), South Korea. Int. J. Epidemiol. 2017, 46, e15. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic description of study’s design.
Figure 1. Schematic description of study’s design.
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Figure 2. Balance plots of the five variables before and after matching.
Figure 2. Balance plots of the five variables before and after matching.
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Figure 3. Cumulative hazard plot of dementia between the comparison group and those who underwent general anesthesia.
Figure 3. Cumulative hazard plot of dementia between the comparison group and those who underwent general anesthesia.
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Figure 4. Cumulative hazard plots for specific diseases between patients who underwent general anesthesia and without anesthesia experience: (A) Alzheimer’s disease. (B) Vascular dementia.
Figure 4. Cumulative hazard plots for specific diseases between patients who underwent general anesthesia and without anesthesia experience: (A) Alzheimer’s disease. (B) Vascular dementia.
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Table 1. Characteristics of the study subjects.
Table 1. Characteristics of the study subjects.
VariablesComparison
(n = 12,400)
General Anesthesia
(n = 3100)
p Value
Sex 1.000
Male5744 (46.3%)1436 (46.3%)
Female6656 (53.7%)1664 (53.7%)
Ages (years) 1.000
55–646532 (52.7%)1633 (52.7%)
65–744432 (35.7%)1108 (35.7%)
≥751436 (11.6%)359 (11.6%)
Residence 1.000
Seoul2784 (22.5%)696 (22.5%)
Second area2652 (21.4%)663 (21.4%)
Third area6964 (56.2%)1741 (56.2%)
Household income 1.000
Low (0–30%)2508 (20.2%)627 (20.2%)
Middle (30–70%)4224 (34.1%)1056 (34.1%)
High (70–100%)5668 (45.7%)1417 (45.7%)
Comorbidities 1.000
No2880 (23.2%)720 (23.2%)
Yes9520 (76.8%)2380 (76.8%)
Comparison, Subjects lacking anesthesia; Seoul, the largest metropolitan area; Second area, other metropolitan cities; Third area, other areas.
Table 2. Incidence per 1000 person-years and the HR (95% CI) of dementia.
Table 2. Incidence per 1000 person-years and the HR (95% CI) of dementia.
VariablesNCasesIncidenceUnadjusted HR
(95% CI)
Adjusted HR
(95% CI)
Group
Comparison12,4007758.81.00 (ref.)1.00 (ref.)
General
anesthesia
310024010.51.52 (1.30–1.76) ***1.36 (1.16–1.58) ***
Sex
Male71803647.91.00 (ref.)1.00 (ref.)
Female83206519.91.20 (1.05–1.36) **1.16 (1.02–1.32) *
Ages (years)
55–6481652753.91.00 (ref.)1.00 (ref.)
65–74554055415.44.25 (3.68–4.91) ***3.95 (3.41–4.58) ***
≥75179518633.311.63
(9.63–14.05) ***
10.08
(8.29–12.26) ***
Residence
Seoul34801967.51.00 (ref.)1.00 (ref.)
Second area33152249.81.36 (1.12–1.65) **1.27 (1.05–1.54) *
Third area87055959.61.31 (1.11–1.54) **1.09 (0.93–1.28)
Household income
Low (0–30%)313535413.21.00 (ref.)1.00 (ref.)
Middle (30–70%)52802426.80.52 (0.44–0.61) ***0.77 (0.65–0.91) **
High (70–100%)70854198.60.65 (0.56–0.75) ***0.78 (0.68–0.91) **
Comorbidities
No3600904.81.00 (ref.)1.00 (ref.)
Yes11,90092510.01.93 (1.55–2.40) ***1.54 (1.24–1.92) ***
Seoul, The largest metropolitan area; Second area, other metropolitan cities; Third area, other areas. HR, hazard ratio; CI, confidence interval. * p < 0.05, ** p < 0.01, and *** p < 0.001.
Table 3. Hazard ratios of dementia by sex among the patients.
Table 3. Hazard ratios of dementia by sex among the patients.
SexMaleFemale
ComparisonGeneral AnesthesiaComparisonGeneral Anesthesia
Dementia
Unadjusted HR (95% CI)1.00 (ref.)1.33
(1.04–1.71) *
1.00 (ref.)1.66
(1.37–2.00) ***
Adjusted HR (95% CI)1.00 (ref.)1.22
(0.95–1.58)
1.00 (ref.)1.44
(1.19–1.75) ***
HR, hazard ratio; CI, confidence interval. * p < 0.05, and *** p < 0.001.
Table 4. Hazard ratios of dementia by the comorbidity status of the patients.
Table 4. Hazard ratios of dementia by the comorbidity status of the patients.
ComorbiditiesNoYes
ComparisonGeneral AnesthesiaComparisonGeneral Anesthesia
Dementia
Unadjusted HR (95% CI)1.00 (ref.)1.43
(0.90–2.28)
1.00 (ref.)1.57
(1.34–1.84) ***
Adjusted HR (95% CI)1.00 (ref.)1.04
(0.64–1.68)
1.00 (ref.)1.39
(1.18–1.64) ***
HR, hazard ratio; CI, confidence interval. *** p < 0.001.
Table 5. Incidence per 1000 person-years and the HRs (95% CI) for Alzheimer’s disease and vascular dementia.
Table 5. Incidence per 1000 person-years and the HRs (95% CI) for Alzheimer’s disease and vascular dementia.
VariablesNCasesIncidenceUnadjusted HR (95% CI)Adjusted HR
(95% CI)
Alzheimer’s disease
Non-anesthesia12,4005466.11.00 (ref.)1.00 (ref.)
General anesthesia31001787.71.69 (1.41–2.02) ***1.52 (1.27–1.82) ***
Vascular dementia
Non-anesthesia12,4001241.41.00 (ref.)1.00 (ref.)
General anesthesia3100492.11.85 (1.31–2.61) ***1.64 (1.15–2.33) **
HR, hazard ratio; CI, confidence interval. ** p < 0.01 and *** p < 0.001.
Table 6. Frequencies of general anesthesia between comparison and dementia groups.
Table 6. Frequencies of general anesthesia between comparison and dementia groups.
Comparison
(n = 18,706)
Dementia
(n = 9353)
General anesthesia
016,098 (86.1%)7844 (83.9%)
12147 (11.5%)1204 (12.9%)
2361 (1.9%)239 (2.6%)
377 (0.4%)50 (0.5%)
416 (0.1%)9 (0.1%)
54 (0.0%)4 (0.0%)
60 (0.0%)2 (0.0%)
71 (0.0%)0 (0.0%)
81 (0.0%)0 (0.0%)
91 (0.0%)0 (0.0%)
130 (0.0%)1 (0.0%)
Table 7. Welch two sample t-test comparisons between the dementia and comparison groups.
Table 7. Welch two sample t-test comparisons between the dementia and comparison groups.
Frequency of General Anesthesia
Mean
Comparison0.171
Dementia0.205
Standard deviation
Comparison0.479
Dementia0.538
Levene test
F27.327
df (v1; v2)1; 28,057
p-value0.000
Welch Two Sample t-test
t−5.029
df16,902
p-value0.000
95% confidence interval−0.046~−0.020
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Sohn, J.-H.; Lee, J.J.; Lee, S.-H.; Kim, C.; Yu, H.; Kwon, Y.-S.; Kim, D.-K. Longitudinal Study of the Association between General Anesthesia and Increased Risk of Developing Dementia. J. Pers. Med. 2021, 11, 1215. https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111215

AMA Style

Sohn J-H, Lee JJ, Lee S-H, Kim C, Yu H, Kwon Y-S, Kim D-K. Longitudinal Study of the Association between General Anesthesia and Increased Risk of Developing Dementia. Journal of Personalized Medicine. 2021; 11(11):1215. https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111215

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Sohn, Jong-Hee, Jae Jun Lee, Sang-Hwa Lee, Chulho Kim, Hyunjae Yu, Young-Suk Kwon, and Dong-Kyu Kim. 2021. "Longitudinal Study of the Association between General Anesthesia and Increased Risk of Developing Dementia" Journal of Personalized Medicine 11, no. 11: 1215. https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11111215

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