Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Anesth Analg. 2017 Apr;124(4):1277–1290. doi: 10.1213/ANE.0000000000001725

Mild Cognitive Impairment and Exposure to General Anesthesia for Surgeries and Procedures: A Population-Based Case Control Study

Juraj Sprung *,b,‡,d,, Rosebud O Roberts *,b,‡,d,, David S Knopman *,b,‡,d,, Lauren L Price *,b,‡,d,, Hunter P Schulz *,b,‡,d,, Christie L Tatsuyama *,b,‡,d,, Toby N Weingarten *,b,‡,d,, Darrell R Schroeder *,b,‡,d,, Andrew C Hanson *,b,‡,d,, Ronald C Petersen *,b,‡,d,, David O Warner *,b,‡,d,
PMCID: PMC5359052  NIHMSID: NIHMS823704  PMID: 28291057

Abstract

Objective

To examine whether exposure to general anesthesia for procedures at age ≥40 is associated with prevalent mild cognitive impairment (MCI) in the elderly.

Patients and Methods

A case-control study nested within a population-based cohort. Olmsted County, MN, residents ages 70–89 years, underwent baseline evaluations that included the Clinical Dementia Rating scale, a neurologic evaluation, and neuropsychological testing. Individuals identified with MCI (cases) at enrollment were matched 1:2 on age, sex, education and apolipoprotein genotype with participants who were cognitively normal at the time of the index visit. Medical records from age 40 until the index visit were reviewed to determine exposures to general anesthesia. Conditional logistic regression, taking into account the matched set study design and adjusting for MCI risk factors, was used to assess whether exposure to anesthesia after the age of 40 was associated with prevalent MCI.

Results

A total of 387 MCSA participants (219 males, 168 females) were diagnosed with MCI at enrollment with mean age 81±5 years. Exposure to general anesthesia after the age of 40 was not significantly associated with prevalent MCI when analyzed as a dichotomous variable (any vs. none, adjusted OR 0.97 [95% CI 0.68–1.40]) or the number of exposures OR 1.13 [0.74–1.72], 0.81 [0.53–1.22], and 1.03 [0.67–1.58] for 1, 2–3, and ≥4 exposures, respectively, with no exposure as the reference. Similar results were obtained for anesthesia exposure after the age 60, and during 5, 10 and 20 years prior to the first visit.

Conclusion

Exposure to general anesthesia for procedures at ages ≥ 40 years was not associated with prevalent MCI in the elderly.

Keywords: Aged humans; male; female, Anesthesia: general, Case-control study, Dementia, Alzheimer’s dementia, Prevalent mild cognitive impairment, Surgery

INTRODUCTION

Preclinical studies suggest that some drugs that produce general anesthesia may induce neurohistological changes consistent with Alzheimer dementia (AD).1,2 In addition, surgical stimulation itself may increase levels of neuroinflamatory mediators that can result in cognitive impairment in aged mice.3,4 Nevertheless, findings regarding the potential association between exposure to anesthesia and long-term cognitive impairment have not been consistent in observational clinical studies.510 Much of this research utilizes dementia as the primary outcome.5,6 It is possible that less severe forms of cognitive impairment, such as the clinical diagnosis of mild cognitive impairment (MCI)1113 would represent a more sensitive outcome to detect an association between anesthesia and long-term cognitive dysfunction, as a diagnosis of MCI often precedes the diagnosis of dementia.1113

MCI is a chronic condition with likelihood of onset increasing with age. When studying MCI it is important to distinguish between incidence and prevalence. Incidence corresponds to the rate at which new cases of MCI develop in the population, while prevalence corresponds to the percentage of the population who have MCI at a given point in time. The Mayo Clinic Study of Aging (MCSA), a population-based longitudinal cohort study, examines the incidence and prevalence of MCI and dementia in Olmstead County, MN, including risk factors for these outcomes. Roberts, 2008 #282} Using the MCSA, we recently analyzed the association between exposure to surgery and anesthesia at age ≥ 40 and the incidence of MCI in those who were cognitively normal at the time of entry into the MCSA, finding no overall association.14 However, because individuals were elderly at the time of MCSA enrollment (mean age of 81 years in this analysis), excluding those who are not cognitively normal at the time of enrollment risks missing potentially relevant associations between anesthesia exposure and cognitive impairment with earlier onset. This may be particularly relevant if anesthesia exposure accelerates cognitive decline. Thus, an analysis of prevalent cases at the time of MCSA enrollment provides an additional opportunity to explore the potential association between lifetime exposure to surgical anesthesia and cognitive impairment. In the present study we use a case-control design to test the hypothesis that exposure to general anesthesia for surgery and procedures at age ≥ 40 is associated with prevalent MCI. In a supplementary analysis we also tested the hypothesis that exposure to general anesthesia for surgery and procedures at age ≥ 40 is associated with cognitive impairment, defined as prevalent MCI and dementia.

METHODS

This study conformed to the requirements of the Strengthening the Reporting of Observational Studies in Epidemiology Statement (STROBE) statement and was approved by the institutional review boards of the Mayo Clinic and Olmsted Medical Center, Rochester, MN. At the time of enrollment all participants provided written informed consent for the study. This analysis included those MCSA participants who had also provided prior authorization for the use of their medical information in research (Minnesota Statute 144.335), such that their anesthesia and surgical records could be reviewed.

Study Design

We examined the association between adult-life exposure to general anesthesia for surgeries and procedures. Henceforth, we use term “anesthetic exposure” to denote exposure to general anesthesia for surgery or procedures. We accounted for exposure to anesthesia at age ≥ 40 until the day of first evaluation in the MCSA study (index visit). This age was selected to complement preclinical investigations, which found that exposure of 18-month old rats to anesthesia (thought by some authors to be equivalent to an ~45-year-old human)15,16 results in long-lasting impairment in spatial memory17 and the development of neuropathology consistent with AD.1,18 For this study two separate data resources are utilized. From the MCSA we obtained data regarding cognitive status on index visit (cognitively normal vs. prevalent MCI or dementia), and from medical records we obtained episodes of exposure to anesthesia and surgery.

This investigation utilizes a 1:2 matched case control design. Cases included all participants who were diagnosed with MCI or dementia at the index visit. The pool of potential controls included all participants who were evaluated and found to be cognitively normal at the index visit. For each case, 2 controls were randomly selected who matched the case on age (±3 years), sex, education (≤12 years, ≥13 years), and apolipoprotein (APOE) genotype status. The medical and surgical records of all participants are available through the resources of the Rochester Epidemiology Project (REP), a medical records linkage system.19 For all participants medical records were abstracted for each episode of general anesthesia and type of surgery or procedure between age 40 and the date of the index study visit. This age was chosen to provide a relatively long exposure history useful to perform sensitivity (secondary) analyses (see Statistical analysis). Exposures to anesthesia in Olmsted County hospitals were identified via REP procedure databases and abstracted as previously described,14 to ascertain information including the agents used for induction and maintenance of anesthesia, the type of surgery or procedure, and the duration of anesthesia. Episodes of anesthesia with regional block only, as well as those who received sedation and subcutaneous injection of local anesthetic, were excluded. All data were entered manually into the web-based Research Electronic Data Capture (REDCap®) system (Version 3.6.7, Vanderbilt University, Nashville, Tennessee).20

Summary of MCSA study procedures

Details of the MCSA study protocol, including design, sampling, participation, baseline measures and sample characteristics, as well as comparison between participants and nonparticipants have been previously published,21 and were also summarized in our prior analysis of incident MCI cases.14 Briefly, a stratified random selection of subjects from the sampling frame of Olmsted County residents aged 70 to 89 years was conducted, followed by letter of invitation to participate and a recruitment telephone call. Upon signing the written informed consent, participants enrolled in the MCSA received detailed assessments of cognitive status at baseline and at 15 monthly follow-up visits. The Clinical Dementia Rating Scale (CDR)22 was administered to a study partner (informant) to assess functioning of the subject and dementia severity when present. The CDR score and the CDR sum of boxes were assessed independently of the results of the neuropsychological testing. In addition, the functional status of each subject was elicited from the study partner also using the Functional Activities Questionnaire.23 If persons were judged to have no cognitive impairment according to published criteria12,24 and received a CDR of 0, they were enrolled as cognitively normal subjects. Subjects with a CDR >1 were classified as demented if they met DSM-IV criteria for dementia.25 Subjects who received a CDR of 0.5 had a more intense evaluation (neurological, neuropsychological) to determine if they met criteria for MCI or for dementia.

The diagnosis of MCI was based on published criteria, including: 1) impairment in one of 4 assessed cognitive domains (memory, executive function, language, and visuospatial skills); 2) cognitive concerns by the subject, informant, examining nurse, or physician; 3) essentially normal functional activities, and; 4) absence of dementia (based on published criteria).1113 Subjects who performed within the normal cognitive range and did not meet criteria for MCI or dementia were considered as cognitively normal. Those characterized as having MCI fulfilled all 4 criteria; however, the final MCI diagnosis was based on a review of all information collected for a participant and a consensus decision by the nurse and clinician who evaluated the participant and the neuropsychologist who reviewed the cognitive testing data.

Statistical analyses

To test the hypothesis that anesthetic exposure at age ≥ 40 is associated with MCI, the primary analyses included only cases of prevalent MCI and their matched controls. Subsequent supplementary analyses included prevalent cases who were not cognitively normal (i.e., both prevalent MCI and dementia), along with their matched controls.

Anesthesia exposure was quantified as any vs. none, number of exposures, and cumulative duration of exposure. The number of exposures was treated both as a continuous variable and as a categorical variable, using 4 categories (no exposure, 1 exposure, 2–3 exposures and ≥4 exposures). The cumulative duration of exposure was also analyzed as both a continuous variable and as a categorical variable (no exposure, 1–120 minutes, 121–240 minutes, 241–480 minutes and ≥481 minutes). Separate analyses were performed for each approach used to quantify anesthesia exposure. For the primary analyses the values for these variables were those calculated for both cases and controls using all surgeries from age 40 up to the first MCSA visit (i.e., adult life exposure). Data were analyzed using conditional logistic regression taking into account 1:2 matched study design. Cases and controls were matched on age, sex, education, and APOE genotype. The decision to use 1:2 matching was made based on resource constraints not on a formal statistical power analysis. In addition to anesthesia exposure variable, covariates were included in all models, and specifically those are the variables found to be associated with MCI in previous publications26 and included: marital status, smoking status, alcohol, midlife diabetes, midlife hypertension, midlife dyslipidemia, atrial fibrillation, Charlson Comorbidity Index, history of congestive heart failure, stroke, and coronary artery disease. In addition, since cases and controls were not matched exactly for age and number of years of education, these variables were also included as covariates.

Additional secondary analyses were planned a priori. To explore the concept that risk produced by exposure to anesthesia and procedures increases with age, the primary analyses were repeated including only exposures to anesthesia after age 60 (i.e., not including exposures prior to age 60). In addition, analyses were performed which included only exposures to anesthesia which occurred in the 5, 10, and 20 year periods prior to the index visit. Finally, in order to assess whether specific types of surgery may be associated with MCI a series of additional analyses were performed. The types of surgery of specific interest included major vascular, cardiac with and without cardiopulmonary bypass, and orthopedic procedures, which are frequently studied in populations in association with postoperative cognitive dysfunction.27,28 For each of these surgery types a binary variable was created to indicate patients who underwent one or more procedure of the given type. For each participant these variables had a value of 1 if the participant underwent one or more of the given type of surgery, and a value of 0 if the participant did not have exposure to any surgery. Using this approach the same reference group was used for all procedure types.

In all cases, results are summarized using odds ratio estimates and corresponding 95% confidence intervals. Unadjusted, two-tailed P values are presented. To account for the fact that anesthesia exposure was quantified using 3 approaches (any vs none, number of exposures, and cumulative duration of exposure), P-values < 0.017 were considered statistically significant. Analyses were performed using SAS statistical software (Version 9.3, SAS Institute, Inc, Cary, NC).

Sample size/statistical power considerations

This investigation includes all prevalent cases of MCI identified in the MCSA during the study period (n=387). The decision to include 2 controls per case (n=774) was made based on resource constraints given that medical records of both cases and controls needed to be manually reviewed in order to identify anesthesia exposures. No formal power analysis was performed when making the decision to include 2 controls per case. However, based on the observed frequency of anesthesia exposure among controls in a recent case-control study of Alzheimer’s disease (reference here), our sample-size would provide statistical power (two-tailed, alpha = 0.017) of 80% to detect an odds ratio of 1.6 when assessing the association between anesthesia exposure (any vs none) and prevalent MCI.

RESULTS

A total of 454 MCSA participants were not cognitively normal (387 with prevalent MCI and 67 with prevalent dementia) at their first enrollment visit and had authorized the use of their medical records for research. For our primary analyses assessing the association between exposure to anesthesia and MCI we include the 387 prevalent MCI cases. For these cases, the mean age at the time of enrollment was 81±5 years. These MCI cases were matched to 774 participants who were cognitively normal at the time of the first visit. Matching variables and risk factors for MCI found in a previous study26 are summarized in Table 1. Cases and controls were matched exactly on sex, education category and APOE status. For all matched sets, age was matched within ±3 years and for 85.8% within ±1 year. As expected from previous reports2932 several major cardiovascular morbidities were more prevalent in MCI cases.

Table 1.

Clinical characteristics in MCI cases and controls.

Clinical Characteristics Cognitively Normal
N=774
N (%)
MCI
N=387
N (%)
OR (95% CI) P Value*
Age (y) (mean ± SD) 81.0 ± 4.9 81.3 ± 5.1 -- --
Gender
 Female 336 (43) 168 (43) -- --
 Male 438 (57) 219 (57) -- --
Education, years
 ≤12 428 (55) 214 (55) -- --
 >12 346 (45) 173(45) -- --
APOE epsilon 4 allele
 No 528 (68) 264 (68) -- --
 Yes 246 (32) 123 (32) -- --
Smoking status 0.975
 Never 389 (50) 192 (50) Ref.
 Former 355 (46) 180 (47) 1.03 (0.79 to 1.35)
 Currenta 34 (4) 16 (4) 1.02 (0.53 to 1.94)
Marital status 0.485
 Married 469 (61) 231 (60) Ref.
 Widowedb 235 (30) 113 (29) 0.98 (0.72 to 1.34)
 Singleb 70 (9) 43 (11) 1.29 (0.82 to 2.02)
Ever diagnosed alcohol problem (n=1359)a,b 0.056
 No 749 (96) 366 (95) Ref.
 Yes 24 (3) 21 (5) 1.80 (0.99 to 3.29)
Midlife diabetesa 0.184
 No 740 (96) 363 (94) Ref.
 Yes 38 (4) 24 (6) 1.44 (0.84 to 2.47)
Midlife hypertensiona 0.563
 No 519 (67) 253 (65) Ref.
 Yes 255 (33) 134 (35) 1.08 (0.83 to 1.40)
Midlife dyslipidemiaa 0.930
 No 498 (64) 246 (64) Ref.
 Yes 276 (36) 141 (36) 1.04 (0.80 to 1.35)
Atrial fibrillationa,b 0.020
 No 622 (80) 287 (74) Ref.
 Yes 152 (20) 100 (26) 1.43 (1.07 to 1.92)
Congestive heart failure 0.044
 No 667 (80) 316 (82) Ref.
 Yes 107 (14) 71 (18) 1.40 (1.01 to 1.95)
Strokea,b 0.002
 No 716 (93) 336 (87) Ref.
 Yes 58 (7) 51 (13) 1.89 (1.26 to 2.83)
Coronary artery disease 0.016
 No 459 (59) 201 (52) Ref.
 Yes 315 (41) 186 (48) 1.36 (1.06 to 1.75)

Values are mean ± SD or N (%). Age, sex, education and APOE allele were included as matching variables, and therefore not analyzed as potential risk factors. These characteristics were identified as predictors for MCI in the clinical risk model for women (a) and men (b).26

A total of 947 participants (627 [81.0%] controls and 320 [82.7%] MCI cases) were exposed to general anesthesia at age ≥ 40 and prior to the index visit. The most frequent surgeries were general and orthopedic operations (Table 2). Most surgeries (86% and 92% of cases and controls, respectively) included the use of halogenated inhalational agents with the specific agent used reflective of the era when the procedure was conducted (Figure 1). Anesthesia induction was most frequently performed with sodium thiopental (67% and 69% of cases and controls, respectively) or propofol (29% and 28% of cases and controls, respectively), and the maintenance anesthetic typically included the use of nitrous oxide (79% and 82% of cases and. controls, respectively).

Table 2.

Surgeries and procedures performed under general anesthesia in cases and controlsa

Type of Surgery or Procedure Cognitively Normal (N=774)
N (%)
MCI (N=387)
N (%)
Any surgery or procedure 627 (81) 320 (83)
General
  Colorectal 53 (7) 26 (7)
  Hepatobiliary 23 (3) 49 (13)
  Other general 276 (36) 93 (24)
Orthopedic 219 (28) 110 (28)
Genitourinary/reproductive
  Obstetrics / gynecology 151 (20) 81 (21)
  Urological 125 (16) 74 (19)
Cardiac with bypass 88 (11) 52 (13)
Cardiovascular without bypass
  Vascular 66 (9) 45 (12)
  Cardiac without bypass 15 (2) 9 (2)
Neurosurgery 62 (8) 43 (11)
Thoracic 19 (2) 8 (2)
Head and neck
  Ear, nose and throat 71 (9) 30 (8)
  Oral and maxillofacial 47 (6) 22 (6)
Plastic
  Breast 56 (7) 28 (7)
  Plastic reconstructive 15 (2) 16 (4)
Miscellaneous 46 (6) 42 (11)
Surgeries
  Ophthalmologic 29 (4) 16 (4)
  Dermatologic 7 (1) 2 (1)
Procedures
  Endoscopy 2 (0) 2 (1)
  Electroconvulsive therapy 1 (0) 0 (0)
  Interventional radiology 0 (0) 0 (0)
  Angiography 0 (0) 2 (1)
a

947 individuals underwent 3,039 surgeries or procedures after the age of 40, but prior to the initial study visit. The data presented correspond to the number (%) of individuals who underwent at least one surgery in the given category (i.e., patients who underwent multiple surgeries of the same type are counted only once). For this reason, the sum across categories does not equal the total number of surgeries performed.

Figure 1.

Figure 1

Volatile anesthetic agents used during the study period (the use of cyclopropane and nitrous oxide not shown). This figure includes prevalent MCI cases and their respective controls. The numbers in parentheses represent the total number of surgeries and procedures performed during the given calendar period. Each color in a column denotes a partition of specific inhalational agent use during the respective year range.

In the primary analyses, there was no significant association between anesthesia exposure at age ≥ 40 and prevalent MCI (OR 0.97 [95% CI 0.68 to 1.40]) for any exposure vs. no exposure after age 40] (Table 3). The lack of association persisted when exposures were quantified according to number and total duration (Table 3). Similar results were obtained from sensitivity analyses that quantified anesthesia exposure after the age of 60, and during the 5, 10 and 20 years periods prior to the index visit (Table 4). Furthermore, when separate analyses were performed to assess specific types of major surgeries thought to potentially be associated with an increased risk of postoperative cognitive decline and possibly MCI no significant associations were detected (Table 5).

Table 3.

Primary analysis assessing association between exposure to general anesthesia for surgeries and procedures at age ≥40 and MCI.

Anesthetic Characteristic Cognitively Normal
N=774
N (%)
MCI
N=387
N (%)
OR (95% CI) P Value*
Any anesthesia exposure 0.885
 No 147 (19) 67 (17) Ref.
 Yes 627 (81) 320 (83) 0.97 (0.68 to 1.40)
Count of anesthesia exposures (n)
 Continuous, per exposure 1.03 (0.97 to 1.10) 0.328
 Categorical 0.323
  0 147 (19) 67 (17) Ref.
  1 164 (21) 84 (22) 1.13 (0.74 to 1.72)
  2–3 262 (34) 115 (30) 0.81 (0.53 to 1.22)
  4 or more 201 (26) 121 (31) 1.03 (0.67 to 1.58)
Duration of anesthetic exposure (min)
 Continuous, per 60 min 1.01 (0.99 to 1.03) 0.461
 Categorical 0.554
  0 147 (19) 67 (17) Ref.
  1–120 66 (9) 39 (10) 1.31 (0.78 to 2.22)
  121–240 144 (19) 61 (16) 0.87 (0.55 to 1.39)
  241–480 199 (26) 94 (24) 0.87 (0.57 to 1.34)
  481 or more 218 (28) 126 (33) 1.00 (0.65 to 1.52)

Odds ratios (OR) and P-values are from conditional logistic regression. OR greater than 1 indicates an increased risk for MCI. Separate models were used to assess anesthesia exposure quantified as any anesthetic, number of exposures (0, 1, 2–3, ≥4) and cumulative duration of exposure in minutes (0, 1–120, 121–240, 241–480, and >480). Cases and controls were matched on age, sex, education, and APOE ε4 genotype. In addition, covariates were included in all models for age, education, marital status, smoking status, alcohol, midlife diabetes, midlife hypertension, midlife dyslipidemia, atrial fibrillation, Charlson comorbidity index, history of congestive heart failure, stroke, and coronary artery disease.

Table 4.

Secondary analyses assessing association between MCI and exposure to general anesthesia for surgeries and procedures after age 60, and during 20, 10 and 5-year periods prior to the index visit.

Anesthetic Exposure Cognitively Normal
N=774
N (%)
MCI
N=387
N (%)
OR (95% CI) P Value*
Exposures between age 60 and first visit
Any anesthesia exposure 0.795
 No 234 (30) 109 (28) Ref.
 Yes 540 (70) 278 (72) 0.96 (0.71 to 1.30)
Count of anesthesia exposures (n)
  Continuous, per exposure 1.03 (0.96 to 1.11) 0.380
  Categorical 0.930
   0 234 (30) 109 (28) Ref.
   1 204 (26) 97 (25) 1.01 (0.70 to 1.45)
   2–3 241 (31) 120 (31) 0.91 (0.63 to 1.29
   4 or more 95 (12) 61 (16) 1.00 (0.63 to 1.58)
Duration of anesthetic exposure (min)
  Continuous, per 60 min 1.01 (0.98 to 1.03) 0.507
  Categorical 0.814
   0 234 (30) 109 (28) Ref.
   1–120 62 (8) 30 (8) 1.21 (0.72 to 2.04)
   121–240 145 (19) 75 (19) 1.00 (0.67 to 1.49)
   241–480 174 (22) 85 (22) 0.88 (0.59 to 1.31)
   481 or more 159 (21) 88 (23) 0.89 (0.60 to 1.33)

Exposures during the 20 years prior to first visit
Any anesthesia exposure 0.438
 No 237 (31) 114 (30) Ref.
 Yes 537 (69) 273 (70) 0.89 (0.66 to 1.20)
Count of anesthesia exposures (n)
  Continuous, per exposure 1.03 (0.96 to 1.11) 0.393
  Categorical 0.840
   0 237 (31) 114 (30) Ref.
   1 217 (28) 105 (27) 0.91 (0.63 to 1.30)
   2–3 232 (30) 115 (30) 0.85 (0.60 to 1.21)
   4 or more 88 (11) 53 (14) 0.95 (0.59 to 1.53)
Duration of anesthetic exposure (min)
  Continuous, per 60 min 1.01 (0.98 to 1.03) 0.535
  Categorical 0.835
   0 237 (31) 114 (30) Ref.
   1–120 68 (9) 34 (9) 1.01 (0.61 to 1.69)
   121–240 144 (19) 72 (17) 0.94 (0.63 to 1.40)
   241–480 173 (22) 85 (21) 0.81 (0.55 to 1.20)
   481 or more 152 (20) 82 (22) 0.86 (0.58 to 1.29)

Exposures during the 10 years prior to first visit
Any anesthesia exposure 0.789
   No 372 (47) 179 (46) Ref.
   Yes 402 (53) 208 (54) 0.96 (0.73 to 1.27)
Count of anesthesia exposures (n)
  Continuous, per exposure 1.07 (0.97 to 1.17) 0.183
  Categorical 0.703
   0 372 (47) 179 (45) Ref.
   1 234 (30) 104 (27) 0.88 (0.64 to 1.22)
   2–3 136 (18) 78 (21) 1.05 (0.71 to 1.55)
   4 or more 32 (4) 26 (7) 1.25 (0.66 to 2.34)
Duration of anesthetic exposure (min)
  Continuous, per 60 min 1.01 (0.98 to 1.04) 0.633
  Categorical 0.261
   0 372 (47) 179 (46) Ref.
   1–120 60 (7) 35 (9) 1.40 (0.85 to 2.31)
   121–240 143 (18) 59 (15) 0.75 (0.51 to 1.10)
   241–480 126 (17) 73 (19) 1.08 (0.72 to 1.60)
   481 or more 73 (10) 41 (11) 0.90 (0.55 to 1.47)

Exposures during the 5 years prior to first visit 0.554
Any anesthesia exposure
  No 524 (68) 289 (64) Ref.
  Yes 250 (32) 165 (36) 1.08 (0.83 to 1.41)
Count of anesthesia exposures (n)
  Continuous, per exposure 1.15 (1.01 to 1.31) 0.039
  Categorical 0.177
   0 524 (68) 289 (64) Ref.
   1 177 (23) 99 (22) 0.92 (0.68 to 1.25)
   2–3 63 (8) 50 (11) 1.40 (0.90 to 2.17)
   4 or more 10 (1) 16 (4) 2.44 (1.01 to 5.85)
Duration of anesthetic exposure (min)
  Continuous, per 60 min 1.04 (0.99 to 1.08) 0.129
  Categorical 0.197
   0 524 (68) 248 (64) Ref.
   1–120 46 (6) 28 (7) 1.29 (0.74 to 2.23)
   121–240 107 (14) 41 (11) 0.75 (0.48 to 1.16)
   241–480 69 (9) 48 (12) 1.40 (0.90 to 2.19)
   481 or more 28 (4) 22 (6) 1.32 (0.67 to 2.61)

Odds ratio (OR) and P-values are from conditional logistic regression. CI, confidence interval. OR >1.00 indicates an increased risk for MCI. Separate models were used to assess anesthesia exposure quantified as any anesthetic, number of exposures (0, 1, 2–3, ≥4) and cumulative duration of exposure in minutes (0, 1–120, 121–240, 241–480, and ≥481). Cases and controls were matched on age, sex, education, and APOE genotype. In addition, covariates were included in all models for age, education, marital status, smoking status, alcohol, midlife diabetes, midlife hypertension, midlife dyslipidemia, atrial fibrillation, Charlson comorbidity index, history of congestive heart failure, stroke, and coronary artery disease.

Table 5.

Secondary sensitivity analyses assessing association between MCI and specific types of surgery after age 40, and 60, and during the 20, 10 and 5-year period prior to the index visit.

Surgery Specific Exposure OR (95% CI) P Value*
Exposure between age 40 and first visit
 No anesthesia exposure Ref.
 Major vascular 1.19 (0.69 to 2.06) 0.525
 Cardiac with bypass 0.77 (0.41 to 1.45) 0.414
 Cardiac without bypass 0.65 (0.22 to 1.95) 0.442
 Orthopedic 0.86 (0.58 to 1.30) 0.481
Exposure between age 60 and first visit
 No anesthesia exposure Ref.
 Major vascular 1.24 (0.66 to 2.32) 0.510
 Cardiac with bypass 0.79 (0.42 to 1.50) 0.475
 Cardiac without bypass 0.55 (0.17 to 1.73) 0.303
 Orthopedic 0.96 (0.62 to 1.47) 0.846
Exposure 20 years prior to first visit
 No anesthesia exposure Ref.
 Major vascular 1.12 (0.59 to 2.15) 0.728
 Cardiac with bypass 0.79 (0.41 to 1.50) 0.467
 Cardiac without bypass 0.55 (0.17 to 1.73) 0.303
 Orthopedic 0.90 (0.58 to 1.40) 0.651
Exposure 10 years prior to first visit
 No anesthesia exposure Ref.
 Major vascular 1.11 (0.53 to 2.32) 0.780
 Cardiac with bypass 0.90 (0.45 to 1.80) 0.758
 Cardiac without bypass 0.42 (0.11 to 1.64) 0.212
 Orthopedic 1.03 (0.64 to 1.65) 0.905
Exposure 5 years prior to first visit
 No anesthesia exposure Ref.
 Major vascular 1.68 (0.71 to 3.98) 0.236
 Cardiac with bypass 0.99 (0.42 to 2.35) 0.985
 Cardiac without bypass 0.66 (0.13 to 3.31) 0.613
 Orthopedic 0.89 (0.51 to 1.55) 0.677

Odds ratio (OR) and P-values are from conditional logistic regression. CI, confidence interval. OR >1.00 indicates an increased risk for MCI. Separate models were used to assess exposure to each surgery type. In all cases the reference group was no anesthesia exposure to any surgery type.

Analyses were repeated using all cases who were not cognitively normal (i.e., both prevalent MCI and dementia), along with their matched controls. In these analyses a total of 1,116 participants (742, 81.7%, controls, and 374, 82.4% MCI/dementia cases) were exposed to general anesthesia at age ≥ 40 and prior to the index visit. The most frequent surgeries were general and orthopedic operations (Figure 1 Appendix). The findings from these analyses are presented in Appendix Tables 1–5. In all analyses, exposure to general anesthesia for surgeries and procedures at age ≥ 40 were not associated with cognitive impairment.

DISCUSSION

The main finding of our study is that exposure to general anesthesia for surgery and procedures at age ≥ 40 was not associated with prevalent MCI in a cross-sectional, population-based sample of the elderly. These results are consistent with our previous report indicating that exposure to anesthesia at age ≥ 40 is not associated with the development of incident MCI in individual who were cognitively normal on enrollment in the MCSA and followed for subsequent development of MCI.14

There is no doubt that elderly patients may develop transient postoperative cognitive dysfunction.27,28,3338 Whether this can lead to long-term cognitive impairment remains controversial.9,10,39 Although a detailed review of this literature is beyond the scope of present paper,5,9,40 the results from both our current (prevalent MCI) and prior (incident MCI)14 analyses are consistent those studies which have not found an association between anesthesia exposure and long-term cognitive impairment.5,6,810,41,42

Although we did not find an association between anesthesia exposure and incident MCI, in our prior analysis, we could not exclude the possibility that recent anesthetic exposure (within previous 10 or 20 years) to anesthetic was associated with incident MCI.14 This finding was only observed in patients who underwent major vascular operations, which may also be a marker for patients with advanced atherosclerotic disease who are known to be at risk for vascular dementia.30,31 In contrast, in the present study we did not find an association between anesthetic exposure and prevalent MCI for exposure at any age.

To control for known risk factors, we matched cases and controls on age, sex, APOE status and education. Comparing cases vs. controls we found that some cardiovascular comorbidities were more prevalent in MCI cases. This finding is not surprising and is consistent with the notion that cardiovascular pathology is frequently associated with atherosclerosis, and in particular atherosclerotic cerebrovascular disease poses a risk factor for dementia.2931 This and other known risk factors were included as adjustor variables when analyzing the role of anesthesia exposure in MCI.

Limitations and strengths of the study

Our study also has several limitations. As with any observational study, potential confounders related to nature of comorbidities necessitating surgery and hospitalization may themselves may be associated with cognitive decline;43 however, in the absence of associations this and similar factors become less relevant. For prevalent MCI cases the time of development of the cognitive impairment is not known, so that some of the anesthesia exposures among cases may have occurred following the onset of MCI. Nonparticipation bias is also a potential limitation, as patients who died prior to age 70 were not considered for inclusion in the present MCSA cohort. Therefore, our findings apply only to persons who survived to 70 years of age and agreed to participate in MCSA. Anesthetic agents and techniques have changed over the last several decades (Figure 1), so that the results may not reflect the effects of contemporary anesthetic practice (which hopefully continues to improve over time as perioperative “brain health” attracts more attention). The secondary analyses restricted to more recent exposures presumably better reflects contemporary practice, yet no associations were observed. Our study is restricted to surgeries that required general anesthesia. Current evidence suggests that there is no difference in incidence of POCD following regional vs. general anesthesia.44 Thus, since surgeries performed under regional anesthesia only are not included in our study we cannot generalize our study results to reflect the association between any surgical exposure and the development of MCI. Furthermore, hospitalization without surgery, which may be associated with cognitive decline, was not accounted in any of our analyses.45 Finally, the racial and ethnic composition of Olmsted County residents of this age group is less diverse than the overall US population, so our results may not apply to populations underrepresented in Olmsted County.

Important strengths of this study include sensitive methods used by an experienced team of neurologists, nurses and a neuropsychologist to detect early cognitive dysfunction that is consistent with a diagnosis of MCI based on a consensus decision. The REP19 is a unique database that provides rich information regarding medical comorbidity and anesthesia history for Olmsted County residents, which for many individuals encompasses their entire lifetime. Obtaining the medical and surgical data from REP provides greater precision of retrospective data collection when compared to self-reported recollection of surgical and anesthetic exposures.10

In conclusion, exposure to general anesthesia for surgeries and procedures at age 40 or later was not significantly associated with prevalent MCI in a population-based cohort of elderly subjects. With all acknowledged limitations of prevalent case-control study design, our findings are in line with a preponderance of the literature which has failed to show a significant association between exposure to surgical anesthesia and sustained cognitive decline.

Supplementary Material

Supplemental Data File _.doc_ .tif_ pdf_ etc._

Summary statement.

In this population-based Mayo Clinic Study of Aging there was no association between exposure to general anesthesia for surgery and procedures at age ≥40 and prevalent mild cognitive impairment.

Acknowledgments

Role of the funding source: This study was supported by the NIH grants P50 AG016574and U01 AG006786 (Petersen), by the Robert H. and Clarice Smith and Abigail van Buren Alzheimer’s Disease Research Program, the Rochester Epidemiology Project (R01 AG034676, Principal Investigators: Walter A. Rocca, MD, and Jennifer St. Sauver, PhD) and the Mayo Clinic Center for Translational Sciences Activities (CTSA), grant number UL1 TR000135 from the National Center for Advancing Translational Sciences (NCATS). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Financial support for statistical analyses was provided by the Department of Anesthesiology Mayo Clinic.

Mrs. Shonie Buenvenida, RN, for study coordination, and Mr. Jeremiah Aakre, Rochester Epidemiology Project statistician for the Mayo Clinic of Aging Study data handling.

Alphabetical List of Abbreviations

AD

Alzheimer’s dementia

MCI

mild cognitive impairment

MCSA

Mayo Clinic Study of Aging

POCD

postoperative cognitive dysfunction

REP

Rochester Epidemiology Project

Footnotes

Declaration of interests: We, the Authors, declare that we have no competing interests.

Juraj Sprung and Darrell Schroeder and Rosebud Roberts have full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. They also have final responsibility for the decision to submit for publication.

Author Contributions: Sprung, conception and design of the work, acquisition and interpretation of data, analysis and interpretation of data, initial drafting of the work and revisions for important intellectual content, study supervision, final approval of the version to be published. Roberts, acquisition and interpretation of data, critical revisions of the work for important intellectual content, final approval of the version to be published. Petersen, acquisition and interpretation of data, critical revisions of the work for important intellectual content, final approval of the version to be published. Knopman, acquisition and interpretation of data, critical revisions of the work for important intellectual content, final approval of the version to be published. Weingarten, interpretation of data, critical revisions of the work for important intellectual content, final approval of the version to be published. Warner, critical revisions of the work for important intellectual content, analysis and interpretation of data, final approval of the version to be published. Hanson, data analysis, critical revisions of the work. Schroeder, data collection, analysis, critical revisions of the work for important intellectual content, final approval of the version to be published; Schultz, data collection, analysis and final approval of the version to be published. Tatsuyama, data collection, analysis and final approval of the version to be published. Price, data collection, analysis and final approval of the version to be published.

Disclosures: Knopman serves as Deputy Editor for journal Neurology; serves on a Data Safety Monitoring Board for Lundbeck Pharmaceuticals and for the Dominantly Inherited Alzheimer’s Disease Treatment Unit. He is an investigator in clinical trials sponsored by Biogen, Lilly and TauRX; and receives research support from the NIH; Petersen is the Chair of Data Monitoring Committees for Pfizer and Janssen Alzheimer Immunotherapy, and has served as a consultant for Roche, Merck, and Genentech. He receives royalties from the publication of Mild Cognitive Impairment by Oxford University Press; Roberts receives research support from the NIH related to this topic; Sprung, Weingarten, Price, Schultz, Tatsuyama, Hanson, Schroeder, and Warner have nothing to disclose.

References

  • 1.Xie Z, Dong Y, Maeda U, et al. Isoflurane-induced apoptosis: a potential pathogenic link between delirium and dementia. J Gerontol A Biol Sci Med Sci. 2006;61:1300–6. doi: 10.1093/gerona/61.12.1300. [DOI] [PubMed] [Google Scholar]
  • 2.Crosby C, Culley DJ, Baxter MG, Yukhananov R, Crosby G. Spatial memory performance 2 weeks after general anesthesia in adult rats. Anesth Analg. 2005;101:1389–92. doi: 10.1213/01.ANE.0000180835.72669.AD. [DOI] [PubMed] [Google Scholar]
  • 3.Tang JX, Mardini F, Janik LS, et al. Modulation of murine Alzheimer pathogenesis and behavior by surgery. Ann Surg. 2013;257:439–48. doi: 10.1097/SLA.0b013e318269d623. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Xu Z, Dong Y, Wang H, et al. Peripheral surgical wounding and age-dependent neuroinflammation in mice. PloS one. 2014;9:e96752. doi: 10.1371/journal.pone.0096752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Seitz DP, Shah PS, 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. doi: 10.1186/1471-2318-11-83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Sprung J, Jankowski CJ, Roberts RO, et al. Anesthesia and incident dementia: a population-based, nested, case-control study. Mayo Clin Proc. 2013;88:552–61. doi: 10.1016/j.mayocp.2013.01.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Avidan MS, Searleman AC, Storandt M, et al. Long-term cognitive decline in older subjects was not attributable to noncardiac surgery or major illness. Anesthesiology. 2009;111:964–70. doi: 10.1097/ALN.0b013e3181bc9719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Dijkstra JB, Van Boxtel MP, Houx PJ, Jolles J. An operation under general anesthesia as a risk factor for age-related cognitive decline: results from a large cross-sectional population study. J Am Geriatr Soc. 1998;46:1258–65. doi: 10.1111/j.1532-5415.1998.tb04542.x. [DOI] [PubMed] [Google Scholar]
  • 9.Avidan MS, Evers AS. The Fallacy of Persistent Postoperative Cognitive Decline. Anesthesiology. 2016;124:255–8. doi: 10.1097/ALN.0000000000000958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Aiello Bowles EJ, Larson EB, Pong RP, et al. Anesthesia Exposure and Risk of Dementia and Alzheimer’s Disease: A Prospective Study. J Am Geriatr Soc. 2016;64:602–7. doi: 10.1111/jgs.14024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56:303–8. doi: 10.1001/archneur.56.3.303. [DOI] [PubMed] [Google Scholar]
  • 12.Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256:183–94. doi: 10.1111/j.1365-2796.2004.01388.x. [DOI] [PubMed] [Google Scholar]
  • 13.Petersen RC. Clinical practice. Mild cognitive impairment. N Engl J Med. 2011;364:2227–34. doi: 10.1056/NEJMcp0910237. [DOI] [PubMed] [Google Scholar]
  • 14.Sprung J, Roberts RO, Knopman DS, 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;91:208–17. doi: 10.1016/j.mayocp.2015.10.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Andreollo NA, Santos EF, Araujo MR, Lopes LR. Rat’s age versus human’s age: what is the relationship? Arq Bras Cir Dig. 2012;25:49–51. doi: 10.1590/s0102-67202012000100011. [DOI] [PubMed] [Google Scholar]
  • 16.Quinn R. Comparing rat’s to human’s age: how old is my rat in people years? Nutrition. 2005;21:775–7. doi: 10.1016/j.nut.2005.04.002. [DOI] [PubMed] [Google Scholar]
  • 17.Culley DJ, Baxter M, Yukhananov R, Crosby G. The memory effects of general anesthesia persist for weeks in young and aged rats. Anesth Analg. 2003;96:1004–9. doi: 10.1213/01.ANE.0000052712.67573.12. [DOI] [PubMed] [Google Scholar]
  • 18.Bianchi SL, Tran T, Liu C, et al. Brain and behavior changes in 12-month-old Tg2576 and nontransgenic mice exposed to anesthetics. Neurobiol Aging. 2008;29:1002–10. doi: 10.1016/j.neurobiolaging.2007.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Rocca WA, Yawn BP, St Sauver JL, Grossardt BR, Melton LJ. History of the Rochester Epidemiology Project: Half a Century of Medical Records Linkage in a US Population. Mayo Clin Proc. 2012;87:1202–13. doi: 10.1016/j.mayocp.2012.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–81. doi: 10.1016/j.jbi.2008.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Roberts RO, Geda YE, Knopman DS, et al. The Mayo Clinic Study of Aging: design and sampling, participation, baseline measures and sample characteristics. Neuroepidemiology. 2008;30:58–69. doi: 10.1159/000115751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43:2412–4. doi: 10.1212/wnl.43.11.2412-a. [DOI] [PubMed] [Google Scholar]
  • 23.Pfeffer RI, Kurosaki TT, Harrah CH, Jr, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol. 1982;37:323–9. doi: 10.1093/geronj/37.3.323. [DOI] [PubMed] [Google Scholar]
  • 24.Ivnik RJ, Malec JF, Smith GE. WAISR, WMS-R and AVLT norms for ages 56 through 97. Clin Neuropsychol. 1992;6(suppl):1–104. [Google Scholar]
  • 25.American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Washington, D.C: American Psychiatric Association; 1994. DSM-IV. [Google Scholar]
  • 26.Pankratz VS, Roberts RO, Mielke MM, et al. Predicting the risk of mild cognitive impairment in the Mayo Clinic Study of Aging. Neurology. 2015;84:1433–42. doi: 10.1212/WNL.0000000000001437. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Newman MF, Kirchner JL, Phillips-Bute B, et al. Longitudinal assessment of neurocognitive function after coronary-artery bypass surgery. N Engl J Med. 2001;344:395–402. doi: 10.1056/NEJM200102083440601. [DOI] [PubMed] [Google Scholar]
  • 28.Newman S, Stygall J, Hirani S, Shaefi S, Maze M. Postoperative cognitive dysfunction after noncardiac surgery: a systematic review. Anesthesiology. 2007;106:572–90. doi: 10.1097/00000542-200703000-00023. [DOI] [PubMed] [Google Scholar]
  • 29.Lopez OL, Jagust WJ, Dulberg C, et al. Risk factors for mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 2. Arch Neurol. 2003;60:1394–9. doi: 10.1001/archneur.60.10.1394. [DOI] [PubMed] [Google Scholar]
  • 30.Zanetti M, Ballabio C, Abbate C, Cutaia C, Vergani C, Bergamaschini L. Mild cognitive impairment subtypes and vascular dementia in community-dwelling elderly people: a 3-year follow-up study. J Am Geriatr Soc. 2006;54:580–6. doi: 10.1111/j.1532-5415.2006.00658.x. [DOI] [PubMed] [Google Scholar]
  • 31.Casserly I, Topol E. Convergence of atherosclerosis and Alzheimer’s disease: inflammation, cholesterol, and misfolded proteins. Lancet. 2004;363:1139–46. doi: 10.1016/S0140-6736(04)15900-X. [DOI] [PubMed] [Google Scholar]
  • 32.Rockwood K, Ebly E, Hachinski V, Hogan D. Presence and treatment of vascular risk factors in patients with vascular cognitive impairment. Arch Neurol. 1997;54:33–9. doi: 10.1001/archneur.1997.00550130019010. [DOI] [PubMed] [Google Scholar]
  • 33.Avidan MS, Evers AS. Review of clinical evidence for persistent cognitive decline or incident dementia attributable to surgery or general anesthesia. J Alzheimers Dis. 2011;24:201–16. doi: 10.3233/JAD-2011-101680. [DOI] [PubMed] [Google Scholar]
  • 34.Bilotta F, Doronzio A, Stazi E, et al. Postoperative cognitive dysfunction: toward the Alzheimer’s disease pathomechanism hypothesis. J Alzheimers Dis. 2010;22(Suppl 3):81–9. doi: 10.3233/JAD-2010-100825. [DOI] [PubMed] [Google Scholar]
  • 35.Vanderweyde T, Bednar MM, Forman SA, Wolozin B. Iatrogenic risk factors for Alzheimer’s disease: surgery and anesthesia. J Alzheimers Dis. 2010;22(Suppl 3):91–104. doi: 10.3233/JAD-2010-100843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Moller JT, Cluitmans P, Rasmussen LS, et al. Long-term postoperative cognitive dysfunction in the elderly ISPOCD1 study. ISPOCD investigators. International Study of Post-Operative Cognitive Dysfunction. Lancet. 1998;351:857–61. doi: 10.1016/s0140-6736(97)07382-0. [DOI] [PubMed] [Google Scholar]
  • 37.Lee TA, Wolozin B, Weiss KB, Bednar MM. Assessment of the emergence of Alzheimer’s disease following coronary artery bypass graft surgery or percutaneous transluminal coronary angioplasty. J Alzheimers Dis. 2005;7:319–24. doi: 10.3233/jad-2005-7408. [DOI] [PubMed] [Google Scholar]
  • 38.Selnes OA, Royall RM, Grega MA, Borowicz LM, Jr, Quaskey S, McKhann GM. Cognitive changes 5 years after coronary artery bypass grafting: is there evidence of late decline? Arch Neurol. 2001;58:598–604. doi: 10.1001/archneur.58.4.598. [DOI] [PubMed] [Google Scholar]
  • 39.Chen PL, Yang CW, Tseng YK, et al. Risk of dementia after anaesthesia and surgery. Br J Psychiatry. 2013 doi: 10.1192/bjp.bp.112.119610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Berger M, Burke J, Eckenhoff R, Mathew J. Alzheimer’s disease, anesthesia, and surgery: a clinically focused review. J Cardiothorac Vasc Anesth. 2014;28:1609–23. doi: 10.1053/j.jvca.2014.04.014. [DOI] [PubMed] [Google Scholar]
  • 41.Dokkedal U, Hansen TG, Rasmussen LS, Mengel-From J, Christensen K. Cognitive Functioning after Surgery in Middle-aged and Elderly Danish Twins. Anesthesiology. 2016;124:312–21. doi: 10.1097/ALN.0000000000000957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Hughes CG, Patel MB, Jackson JC, et al. Surgery and Anesthesia Exposure Is Not a Risk Factor for Cognitive Impairment After Major Noncardiac Surgery and Critical Illness. Ann Surg. 2016 doi: 10.1097/SLA.0000000000001885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ehlenbach WJ, Hough CL, Crane PK, et al. Association between acute care and critical illness hospitalization and cognitive function in older adults. JAMA. 2010;303:763–70. doi: 10.1001/jama.2010.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Davis N, Lee M, Lin AY, et al. Postoperative cognitive function following general versus regional anesthesia: a systematic review. J Neurosurg Anesthesiol. 2014;26:369–76. doi: 10.1097/ANA.0000000000000120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Mathews SB, Arnold SE, Epperson CN. Hospitalization and cognitive decline: Can the nature of the relationship be deciphered? Am J Geriatr Psychiatry. 2014;22:465–80. doi: 10.1016/j.jagp.2012.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplemental Data File _.doc_ .tif_ pdf_ etc._

RESOURCES