Summary
Introduction
The anaesthetic dose causing neurotoxicity in animals has been evaluated, but the relationship between duration of volatile anaesthetic (VA) exposure and neurodevelopment in children remains unclear.
Methods
Data were obtained from the Western Australian Pregnancy Cohort (Raine) Study, with language (Clinical Evaluation of Language Fundamentals: Receptive [CELF-R] and Expressive [CELF-E] and Total [CELF-T]) and cognition (Coloured Progressive Matrices [CPM]) assessed at age 10. Medical records were reviewed, and children divided into quartiles based on total VA exposure duration before age 3. The association between test score and exposure duration quartile was evaluated using linear regression, adjusting for demographics and comorbidity.
Results
Of 1622 children with available test scores, 148 had documented VA exposure and were split into the following quartiles: ≤25, >25 to ≤35, >35 to ≤60 and >60 minutes. Compared to unexposed children, CELF-T scores for children in the first and second quartiles did not differ, but those in the third and fourth quartiles had significantly lower scores ( [3rd quartile – Unexposed] −5.3; 95% confidence interval [CI], (−10.2 – −0.4), [4th quartile – Unexposed] −6.2; 95% CI, (−11.6 – −0.9). CELF-E showed similar findings, but significant differences were not found in CELF-R or CPM at any quartile.
Discussion
Children with exposures ≤35 minutes did not differ from unexposed children, but those with exposures >35 minutes had lower total and expressive language scores. It remains unclear if this is a dose-response relationship, or if children requiring longer exposures for longer surgeries have other clinical reasons for lower scores.
Keywords: Anaesthetic neurotoxicity, Paediatric anaesthesia, Neurodevelopment
Introduction
In animal models, the exposure of developing brains to N-methyl-D-aspartate antagonists (such as nitrous oxide and ketamine) and γ-amino butyric acid agonists (such as benzodiazepines, propofol, and volatile anaesthetics) lead to dose-dependent neuroapoptosis and neurodegenerative changes, with long term cognitive deficits observed in adulthood.1–10 The animal studies in rodents have used various combinations of intravenous (IV) and volatile anaesthetic (VA) agents at differing doses.11 While there has been heterogeneity in these studies, the pre-clinical data overall supports a dose response relationship, with higher doses, longer durations, increased number of different agents, and multiple discrete anaesthetic exposures associated with higher levels of histological damage and worse functional deficits.
Compared to the hundreds of published preclinical studies, there are relatively few clinical studies of neurotoxicity. Of the published clinical studies, several have found an increased risk of neurodevelopmental deficit associated with exposure to surgery and anaesthesia, but few have specifically assessed a dose response.12–17 The effect of specific durations of anaesthetic exposure has been explored in two studies assessing learning disability and academic achievement, with both reporting an association between longer durations of anaesthetic exposure and an increased risk of neurodevelopmental deficits.18,19
Neither study however has used neuropsychological testing, which may be more sensitive than other measures of neurodevelopmental function. We previously found an association between surgery and anaesthesia and long-term neuropsychological deficits in language and cognition.20 Using the same patient cohort, the present study builds upon this by further evaluating the association between the total duration of VA exposure before age 3 years and neuropsychological test scores at age 10 years.
Methods
This study was approved by the Columbia University Institutional Review Board, with approval for data collection and storage at each age by Ethics Committees at King Edward Memorial Hospital, Princess Margaret Hospital, and the University of Western Australia, and medical record review by the University of Western Australia.
Data Source
Raine Cohort Data
Data was obtained from the Raine Study, an established birth cohort in Perth, Western Australia, consisting of 2,868 children born from 1989 to 1992. As part of the study, detailed demographic and medical data were collected prenatally and at birth from medical records and parental self-report. After birth, all children were assessed at 1, 2, 3, 5, 8, 10, 13, 17, 20, and 22 years of age. Comprehensive neuropsychological testing was performed at age 10. During follow-up visits, parents completed questionnaires describing illnesses and medical problems, which were coded by research staff into International Classification of Diseases, 9th Revision (ICD-9) codes. Coding procedures have been previously described.21
Medical and Anaesthetic Record Review
All children in the Raine cohort with parent reported history of any procedure or admission to the hospital before age 5 years were identified. Medical and anaesthetic records for these children were requested from the Princess Margaret Hospital for Children and surrounding hospitals and outpatient surgical centres in Perth, Australia. Data extracted from the records were inputted into a database maintained by the Columbia University Data Coordinating Center.
Children with procedures requiring anaesthetic exposure before age 3 years based on either anaesthetic records or parental report were classified as being “exposed”. All surgical and anaesthetic exposures occurred between 1989 and 1995. Children with no parental report of a procedure and no available anaesthetic records before age 3 years were classified as “unexposed”. While an exact age of vulnerability to anaesthesia in children is unknown, exposure before 3 years old was used to define exposure status as it is the time of peak synaptogenesis in various regions of the brain including the prefrontal cortex.22,23 For exposed children with available anaesthetic records, VA exposure in minutes from each procedure was quantified. Children with more than one anaesthetic exposure had the durations of VA from separate procedures summed together to calculate a total duration of exposure before age 3. The children with parental report of anaesthetic exposure where anaesthetic records could not be obtained were classified as “exposed with no anaesthetic record”.
Neuropsychological Tests
The outcomes included in this study were the neuropsychological tests previously found to be different between exposed and unexposed children.20 All assessments were performed at age 10 by trained research staff directly administering the tests. Language was evaluated with the Clinical Evaluation of Language Fundamentals (CELF), which is composed of individual scores for Receptive (CELF-R), or language comprehension ability, Expressive (CELF-E), or speaking language ability, as well as a Total (CELF-T) language.24,25 Cognition was assessed by Coloured Progressive Matrices (CPM) which is a test of nonverbal intelligence, with a specific focus on abstract reasoning.26
Comorbid Illness
Comorbid illness was quantified using the Johns Hopkins ACG Case-Mix System, a method for predicting past and future healthcare utilization and costs.27 ICD-9 codes from all follow-up visits up to and including age 10 were used evaluate medical resource use by each child and calculate Resource Utilization Band (RUB) scores. ICD-9 codes for mental, behavioural, and neurodevelopmental disorders were excluded from the calculation of RUB scores as they were directly related to the outcomes of interest. For each child, RUB was coded as 0) No diagnoses, 1) Healthy, 2) Low, 3) Moderate, 4) High, and 5) Very High. Children with no diagnoses and presented for follow-up, as well as the healthy category were collapsed in the Low resource utilization category, and children in the High and Very High utilization groups were also combined. Coding of the RUB score was performed with the Johns Hopkins ACG version 10.0.1.
Statistical Analysis
Children with available anaesthetic records and neuropsychological outcomes were split into quartiles based on the total duration of exposure to VA for each child. Coding of the duration variable as categorical as opposed to continuous allowed for the ability to easily assess a non-linear relationship between anaesthesia duration and outcome measures. A multilevel categorical exposure group variable was created, which included levels for each of the four quartiles, in addition to the unexposed group and the exposed with no anaesthetic records group. Linear regression was used to calculate test score differences and 95% confidence intervals between the unexposed group and each individual exposure group. Multivariable linear regression was subsequently used to adjust for adjust for demographic and clinical covariates (sex, race, birth weight (<2500g), maternal school level and income) in addition to comorbidity as measured by the Johns Hopkins ACG system.
Results
The Raine cohort consists of 2,868 children, with 1076 children having a history of a procedure or admission to a hospital before age 5 years. Available medical and anaesthetic records for these children were evaluated, and data for any procedures requiring anaesthesia before the age of 3 years was entered into our database. (Figure 1) Records for 348 procedures with anaesthetics were identified, of which 337 were performed at PMH and 11 were performed at other institutions. These procedures pertained to 234 children. Of these children, 184 had a prior parental report attesting to an exposure before age 3 based on the Raine database, while the remaining 50 had an anaesthetic record, but no associated parental report.
In addition to the children with available anaesthetic records, another 137 children were identified as being exposed to surgery and anaesthesia prior to age 3 based on parental report, but the associated records could not be obtained. These children were therefore classified as “exposed with no anaesthetic record”.
Duration of VA Exposure and Neuropsychological Test Score
A total of 148 children had anaesthetic record information as well as CELF and CPM scores available. These children were split into quartiles based on the total duration of VA exposure: 1st quartile: ≤25 minutes (n=36), 2nd quartile: >25 to ≤35 minutes (n=43), 3rd quartile: >35 to ≤60 minutes (n=38), and 4th quartile: >60 minutes (n=31). The numbers of patients in each quartile were unequal because some children at the quartile cut points had the same duration of exposure. The mean durations of exposure in each of the four quartiles were 18.9, 31.9, 49.9 and 161.9 minutes respectively. A total of 96 children were “exposed with no anaesthetic record” and had available test scores.
Compared to unexposed children, those who were exposed were found to have a higher percentage of boys. (Table 1) Children in the 4th quartile also had a higher percentage of low birth weight children compared to the other exposure groups, and higher resource utilization was also found in the 3rd and 4th exposure quartiles. All children in the 1st quartile had a single exposure, while 3 children (7%) in the 2nd quartile had two exposures. In the 3rd quartile, 2 children (5.3%) had two exposures, while 16 children (51.6%) in the 4th quartile had two or more exposures, with the number ranging from 2 to 23 exposures.
Table 1.
Unexposed (n = 1378), n (%) | First quartile (n = 36), n (%) | Second quartile (n = 43), n(%) | Third quartile (n = 38), n(%) | Fourth quartile (n = 31), n(%) | No record (n = 96), n(%) | |
---|---|---|---|---|---|---|
Gender | ||||||
Girls | 687(49.9) | 15(41.7) | 13(30.2) | 13(34.2) | 12(38.7) | 35(36.5) |
Boys | 691(50.1) | 21(58.3) | 30(69.8) | 25(65.8) | 19(61.3) | 61(63.5) |
Birth Weight | ||||||
< 2500g | 109(7.9) | 3(8.3) | 4(9.3) | 3(7.9) | 6(19.4) | 12(12.5) |
≥ 2500g | 1268(92) | 33(91.7) | 39(90.7) | 35(92.1) | 25(80.6) | 84(87.5) |
Missing | 1(0.1) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) |
Race | ||||||
Caucasian | 1213(88) | 33(91.7) | 40(93) | 37(97.4) | 28(90.3) | 83(87.4) |
Non-Caucasian | 139(10.1) | 3(8.3) | 2(4.7) | 0(0) | 3(9.7) | 7(7.4) |
Missing | 26(1.9) | 0(0) | 1(2.3) | 1(2.6) | 0(0) | 5(5.3) |
Household Income (AUD) | ||||||
Less than $7000 | 81(5.9) | 1(2.8) | 3(7) | 0(0) | 2(6.5) | 7(7.3) |
$7000–$23999 | 380(27.6) | 11(30.6) | 15(34.9) | 11(28.9) | 13(41.9) | 28(29.2) |
$24000–$35999 | 352(25.5) | 8(22.2) | 12(27.9) | 8(21.1) | 7(22.6) | 15(15.6) |
$36,000 | 473(34.3) | 15(41.7) | 12(27.9) | 18(47.4) | 9(29) | 39(40.6) |
Missing | 92(6.7) | 1(2.8) | 1(2.3) | 1(2.6) | 0(0) | 7(7.3) |
Maternal Education Beyond High School | ||||||
None | 640(46.4) | 13(36.1) | 20(46.5) | 18(47.4) | 17(54.8) | 46(47.9) |
Trade certificate, Professional registration or other | 311(22.6) | 13(36.1) | 8(18.6) | 12(31.6) | 6(19.4) | 18(18.8) |
College or University degree | 401(29.1) | 10(27.8) | 14(32.6) | 7(18.4) | 8(25.8) | 27(28.1) |
Missing | 26(1.9) | 0(0) | 1(2.3) | 1(2.6) | 0(0) | 5(5.2) |
Resource Utilization Band | ||||||
Healthy | 62(4.5) | 0(0) | 0(0) | 0(0) | 0(0) | 0(0) |
Low | 353(25.6) | 6(16.7) | 6(14) | 0(0) | 3(9.7) | 12(12.5) |
Moderate | 906(65.7) | 27(75) | 32(74.4) | 24(63.2) | 13(41.9) | 72(75) |
High or Very High | 57(4.1) | 3(8.3) | 5(11.6) | 14(36.8) | 15(48.4) | 12(12.5) |
Total Number of Exposures | ||||||
1 | N/A | 36(100) | 40(93) | 36(94.7) | 15(48.4) | N/A |
2 | N/A | 0(0) | 3(7) | 2(5.3) | 9(29) | N/A |
3 or greater | N/A | 0(0) | 0(0) | 0(0) | 7(22.6) | N/A |
Because of rounding, percentages may not sum to 100.
AUD: Australian Dollar
The neuropsychological test scores for each quartile were initially evaluated, with lower mean and median scores seen in the quartiles with longer exposure duration. (Figure 2) Linear regression was subsequently used to calculate the difference in test scores between unexposed children and those in each exposure group. After adjusting for demographics and comorbidity, children in the 1st and 2nd quartiles were found to have CELF-T scores that were similar to the unexposed children, (CELF-T: [1st quartile – Unexposed], −0.7; 95% confidence interval [CI], (−4.2 – 5.6) and [2nd quartile – Unexposed], −1.9; 95% CI, (−6.3 – 2.6)). (Table 2) Children in the 3rd and 4th quartiles of exposure however had mean total language scores approximately 6 points lower than the unexposed children (CELF-T: [3rd quartile – Unexposed], −5.3; 95% CI, (−10.2 – −0.4) and [4th quartile – Unexposed], −6.2; 95% CI, (−11.6 – −0.9)). Similar findings were seen with the CELF-E expressive language scores, with no differences between unexposed and the 1st and 2nd quartiles (CELF-E: [1st quartile – Unexposed], 1; 95% CI, (−3.9 – 5.9) and [2nd quartile – Unexposed], and −1; 95% CI (−5.4 – 3.5)), but a significant difference in the 3rd and 4th quartiles (CELF-E: [3rd quartile – Unexposed], −6.1; 95% CI (−11 – −1.2) and [4th quartile – Unexposed], and (−6.3; 95% CI (−11.6 – −0.9)). After adjusting for covariates, significantly lower scores were not found with CELF-R or CPM scores in any exposure quartile.
Table 2.
Crude and adjusted differences in neuropsychological test scores in children in each exposure duration quartile compared with unexposed children | ||||
---|---|---|---|---|
n | Crude, difference (95% CI) | Adjusted for patient characteristics Adjusted difference* (95% CI) |
Adjusted for patient characteristics and RUB Adjusted difference** (95% CI) |
|
CELF Receptive | ||||
Unexposed | 1378 | Reference | Reference | Reference |
First Quartile (≤25 min) | 36 | 0.7 (−4.7 – 6) | 0 (−5.2 – 5.1) | 0.1 (−5.1 – 5.2) |
Second Quartile (>25 to ≤ 35 min) | 43 | −3.4 (−8.3 – 1.5) | −2.8 (−7.5 – 1.8) | −2.7 (−7.4 – 2) |
Third Quartile (>35 to ≤ 60 min) | 38 | −4.3 (−9.5 – 0.9) | −4.8 (−9.9 – 0.2) | −4.1 (−9.3 – 1.1) |
Fourth Quartile (>60 min) | 31 | −7.8 (−13.6 – −2.1) | −6.6 (−12.1 – −1.1) | −5.6 (−11.3 – 0.05) |
No Record | 96 | 4.5 (−7.8 – −1.1) | −3.9 (−7.2 – −0.6) | −3.7 (−7 – −0.4) |
CELF Expressive | ||||
Unexposed | 1378 | Reference | Reference | Reference |
First Quartile (≤25 min) | 36 | 1.7 (−3.3 – 6.8) | 1 (−3.9 – 5.9) | 1 (−3.9 – 5.9) |
Second Quartile (>25 to ≤ 35 min) | 43 | −1.3 (−5.9 – 3.4) | −1 (−5.4 – 3.4) | −1 (−5.4 – 3.5) |
Third Quartile (>35 to ≤ 60 min) | 38 | −5.9 (−10.8 – −1) | −6.6 (−11.4 – −1.8) | −6.1 (−11 – −1.2) |
Fourth Quartile (>60 min) | 31 | −8.3 (−13.7 – −2.9) | −7.1 (−12.3 – −1.9) | −6.3 (−11.6 – −0.9) |
No Record | 96 | −4.8 (−7.9 – −1.6) | −4.3 (−7.5 – −1.2) | 4.3 (−7.5 – −1.2) |
CELF Total | ||||
Unexposed | 1378 | Reference | Reference | Reference |
First Quartile (≤25 min) | 36 | 1.4 (−3.7 – 6.5) | 0.7 (−4.2 – 5.6) | 0.7 (−4.2 – 5.6) |
Second Quartile (>25 to ≤ 35 min) | 43 | −2.4 (−7.1 – 2.2) | −2 (−6.4 – 2.5) | −1.9 (−6.3 – 2.6) |
Third Quartile (>35 to ≤ 60 min) | 38 | −5.3 (−10.3 – −0.4) | −5.9 (−10.7 – −1.2) | −5.3 (−10.2 –− 0.4) |
Fourth Quartile (>60 min) | 31 | −8.5 (−13.9 – −3) | −7.2 (−12.4 – −2) | −6.2 (−11.6 – −0.9) |
No Record | 96 | 4.8 (−8 – −1.6) | −4.3 (−7.4 – −1.1) | 4.2 (−7.3 – −1) |
CPM Total | ||||
Unexposed | 1378 | Reference | Reference | Reference |
First Quartile (≤25min) | 36 | −0.2 (−1.4 – 1) | −0.4 (−1.6 – 0.8) | −0.4 (−1.6 – 0.8) |
Second Quartile (>25 to ≤ 35 min) | 43 | −0.7 (−1.8 – 0.4) | −0.8 (−1.9 – 0.3) | −0.7 (−1.8 – 0.4) |
Third Quartile (>35 to ≤ 60 min) | 38 | −0.9 (−2.1 – 0.3) | −1.1 (−2.3 – 0.1) | −0.9 (− −2.1 – 0.3) |
Fourth Quartile (>60 min) | 31 | −1.7 (−3 – −0.4) | −1.5 (−2.7 – −0.2) | −1.3 (−2.6 – 0.1) |
No Record | 96 | −1 (−1.7 – −0.2) | −0.9 (−1.7 – −0.2) | −0.9 (−1.7 – −0.1) |
Adjusted for sex, race, birthweight (<2500g), maternal school level and income.
Adjusted for the above patient characteristics and comorbidity measured by resource utilization band (RUB)
For children who were exposed with no anaesthetic record available, after adjusting for covariates, compared with the unexposed children they had significantly lower scores in Receptive (CELF-R: [No Record – Unexposed], −3.7; 95% CI, (−7 – −0.4), Expressive (CELF-E: [No Record – Unexposed], −4.3; 95% CI, (−7.5 – −1.2), and Total language scores (CELF-T: [No Record – Unexposed], −4.2; 95% CI, (−7.3 – −1), as well as CPM scores (CPM: [No Record – Unexposed], −0.9; 95% CI (−1.7 – −0.1).
Types of Anaesthetics Used
In the 148 children exposed to VA, 99.3% had been exposed to nitrous oxide, 91.2% to halothane, 15.5% to isoflurane, and 12.8% to enflurane. While nearly all children received nitrous oxide and halothane, more children received isoflurane and enflurane in the 3rd and 4th quartiles of exposure compared to those in the 1st and 2nd quartiles. Aside from VA, they also received other anaesthetic agents, with thiopental used in 35.8% of children, propofol in 9.5%, benzodiazepines in 15.5%, pethidine in 53.4%, morphine in 11.5%, and fentanyl in 6.8%.
Types of Procedures
Most procedures performed in children in the 1st and 2nd quartiles were otolaryngological and other minor procedures, including many children with myringotomies, as well as tonsillectomies. Those children were found to be similar to the unexposed children with regard to language and cognitive scores. The children with durations of exposures in the 3rd and 4th quartiles however have more varied types of surgical and diagnostic procedures. (Appendix Tables 1 to 4) The parent reported procedures in children exposed with no anaesthetic record include a variety of procedures from minor procedures to more complex procedures. (Appendix Table 5)
Discussion
Compared to the unexposed children in this cohort, those exposed to longer durations of VA before age 3 had mean CELF-R and CELF-T language scores at age 10 that were approximately 6 points, or 0.4 standard deviations lower than unexposed children, even after adjusting for underlying demographic and clinical differences. While the IQ test differs from the CELF test, as a reference point, lead levels of 10μg/dL are associated with drops in IQ of 5.8 points, or 0.39 standard deviations, but the CDC recommends that public health actions are initiated at blood lead levels of 5μg/dL.28,29 These results suggest that children in this cohort who had surgery requiring >35 minutes of VA have significantly decreased language test scores during middle childhood. Wilder et al. also identified the duration for a potentially toxic anaesthetic exposure at >120 minutes, but our results show that shorter exposures may also be associated with lower neuropsychological test scores.19 Possibilities for this discrepancy include differences in the patient populations or in the neurodevelopmental test sensitivity, as direct neuropsychological testing may be more sensitive than other tests.
It is however important to note that this is only an association, and could be due to patient comorbidity, with children requiring longer and more complex surgical procedures having other comorbid conditions that put them at higher baseline risk for neurodevelopmental deficits. Unfortunately, teasing out whether this is due to the anaesthetic dose or comorbid disease is difficult using observational studies. While we adjusted for comorbidity using the Johns Hopkins ACG Case-Mix System, this comorbidity score is designed to measure resource utilization, not specifically the increased risk of long-term neurodevelopmental deficit. As a result, while it will likely adjust for some of the difference in comorbidity between the exposed and unexposed children, there may be residual confounding due to medical comorbidity.
In order to determine the causal effect of anaesthetic exposure on neurodevelopmental deficit, clinical trials are essential. However, designing a clinical trial to evaluate different doses and durations of anaesthesia present ethical and logistical challenges, as it is difficult to randomise a child to get more or less anaesthesia for a particular procedure. Currently the General Anaesthesia compared to Spinal anaesthesia (GAS) study is the only ongoing randomised trial evaluating anaesthetic neurotoxicity, and assesses neuropsychological differences in children exposed to either sevoflurane, or a pure regional technique at under 6 months of age. The interim results of the GAS study recently found that a mean exposure duration of 54 minutes of sevoflurane does not result in any measureable neuropsychological difference at age 2 years, with the final results of the study expected after the children are tested at age 5.30 It should however be recognized that the duration of exposure is not the only difference between the GAS study and other observational studies. The children in the GAS study were exposed to anaesthesia between the years 2007 and 2013, while in the study by Wilder et al., children were exposed from 1976 and 1986, and in the present Raine cohort, the children were exposed from 1989 and 1995. Pulse oximetry and standard anaesthetic monitoring was available for children in the Raine cohort, but the medications from both observational studies included halothane, enflurane, and isoflurane in conjunction with nitrous oxide and other IV agents, while the GAS study used sevoflurane only. The GAS study can isolate the effect of a short sevoflurane exposure, but it is possible that a single short exposure to a single anaesthetic agent may not be sufficient to cause a neurotoxic injury. Preclinical evidence has found neurotoxic effects in rodents after at least a 1-hour exposure, and in non-human primates after a 5-hour exposure, so the impact of longer or multiple anaesthetic exposures in children, if any, is still unknown.31,32 Combinations of anaesthetic agents, such as VA used in conjunction with IV agents and nitrous oxide may also cause more neuronal damage than sole agents and has been described in rodent and non-human primate models.2,7,33 The neurotoxic potency of different volatile anesthetics is also unclear with some animal studies showing that desflurane and isoflurane have a higher toxicity than sevoflurane, while others have found all three anesthetics to be equally toxic, and no studies comparing them in humans.34–36
Based on the preclinical data and data from other observational studies, the total number of discrete exposures may also play a role.17,19 Our results however show that while the test scores for children in the 2nd and 3rd quartiles differed, the number of children with multiple exposures in those quartiles were similar. This study was not designed to specifically evaluate multiple exposures, but this suggests that there may be other factors such as the total duration of exposure or the comorbidity associated with needing multiple procedures that may contribute to lower scores in multiple exposure patients, independent of the number of discrete exposures.
In evaluating the children who were exposed but had no records available, we found an increased risk for all neuropsychological outcomes. While the differences were significant for all tests, the estimated test score differences were approximately the average of those seen in the four quartiles. The reason for significance was therefore likely not due to an increased effect in the children exposed with no records, but instead due to a larger sample size compared to the number of children in each individual quartile.
It is difficult to establish a dosage threshold beyond which neurotoxic injury occurs based on our results, but our findings still add to the general understanding of clinical anaesthetic neurotoxicity. Importantly, they provide some additional reassurance to parents and clinicians that short anaesthetic exposures (≤35 minutes) do to not appear to have detrimental long-term effects on sensitive neuropsychological tests of language. This lack of an effect with a short single exposure to anaesthesia is consistent with the PANDA study results, which also suggest that a short exposure for hernia repair does not result in a significant long-term deficit.30,37 Since the GAS and PANDA studies both only involve hernia patients, the results from the present study also suggest this lack of an effect may also be applicable to patients undergoing a variety of other minor surgical procedures, including myringotomies.
There are several limitations in our study, including the retrospective extraction of anaesthetic exposure data, demographic and clinical differences between the exposed and unexposed children, and the attrition of the cohort over time. The neuropsychological testing however was performed prospectively, and independent of the hypothesis currently being tested. Since the anaesthetic data were extracted from paper records from over 20 years ago, significant fluctuations in haemodynamics or other intraoperative vital signs were difficult to determine. Quantification of cumulative volatile anaesthetic dose (ie. MAC-hours), even though important in evaluating a dose-response effect, would have been relatively inaccurate since the documentation was on paper charts, and not electronic records.38 In addition, some anaesthetic records may have been missed, resulting in exposed children misclassified as unexposed, which may bias toward a null result due to potentially lower scores in the unexposed children.
Conclusion
Based on our results, it remains unclear if this is truly a dose-response relationship, or if children who require longer anaesthetic exposures for longer surgeries have other associated medical reasons for lower scores in language assessments. While we could not separate the effect of long anaesthetic exposure from the contribution of different clinical conditions, we were able to further confirm the safety of a short anaesthetic exposure (≤35 minutes) using a cocktail of anaesthetic medications. Our results also suggest that in future studies of anaesthetic neurotoxicity, children with longer exposures to anaesthesia should be evaluated.
Supplementary Material
Acknowledgments
Funding: This work was supported in part by a grant from SmartTots (San Francisco, CA, USA) and a grant of the Australian and New Zealand College of Anaesthetists (Melbourne, Australia). The Western Australian Pregnancy Cohort (Raine) Study is funded by project and program grants from the National Health and Medical Research Council of Australia (Canberra, Australia). Core management funding is provided by the Raine Medical Research Foundation, the Telethon Kids Institute, the University of Western Australia (UWA), the UWA Faculty of Medicine, Dentistry and Health Sciences, the Women and Infants Research Foundation, Curtin University, and Edith Cowan University. All institutions providing core management funding reside in Perth, Australia. Dr. Caleb Ing is supported by the Agency for Healthcare Research and Quality (AHRQ) under award number K08HS022941. The content is solely the responsibility of the authors and does not necessarily represent the official views of the AHRQ. Professor Andrew Whitehouse is supported by a Senior Research Fellowship from the National Health and Medical Research Council (APP1077966). Professor Britta von Ungern-Sternberg is supported by the Princess Margaret Hospital Foundation (Australia), the Callahan Estate and the Stan Perron Fellowship (Australia). This publication was supported by the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant Number UL1 TR000040. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
We acknowledge the Raine study investigators and staff responsible for the collection of the data presented in this manuscript. Sincere thanks are extended to all study families, as this research could not have been conducted without their participation. We are also grateful to Professor Peter D. Sly, MBBS, FRACP, MD, DSc, Deputy Director, Queensland Children’s Medical Research Institute (Brisbane, Australia) and Jenny Mountain, MClinEpi, Study Manager, Raine Study Team, University of Western Australia (Perth, Australia) for their help in acquiring the data for the manuscript. We acknowledge the Columbia University Data Coordinating Center as well as the Irving Institute for their support of the DCC. We also acknowledge Troy Wooding, MBBS, Angel Dong, MBBS, and Eli Lawson, MBBS for their help in reviewing medical and anaesthetic records.
Footnotes
Authors’ contributions:
Study conception and design: C.I., M.K.H, C.J.D, G.L., L.S.S., B.S.vU-S.
Data acquisition: M.K.H, J.W.P, A.J.O.W, H.A., B.S.vU-S.
Data analysis, interpretation, or both: C.I., M.S., G.L., L.S.S.
Writing and revising the manuscript: C.I., M.K.H, J.W.P, A.J.O.W, C.J.D, M.S., H.A., G.L., L.S.S., B.S.vU-S.
Final approval: C.I., M.K.H, J.W.P, A.J.O.W, C.J.D, M.S., H.A., G.L., L.S.S., B.S.vU-S.
Agreement to be accountable for all aspects of the work: C.I., M.K.H, J.W.P, A.J.O.W, C.J.D, M.S., H.A., G.L., L.S.S., B.S.vU-S.
Contributor Information
Caleb Ing, Department of Anesthesiology and Epidemiology, Columbia University College of Physicians and Surgeons and Mailman School of Public Health, New York, NY.
Mary K. Hegarty, Department of Anaesthesia and Pain Management, Princess Margaret Hospital for Children, Perth, Australia.
Jack W. Perkins, Department of Anaesthesia and Pain Management, Princess Margaret Hospital for Children, Perth, Australia.
Andrew J.O. Whitehouse, Telethon Kids Institute, University of Western Australia, Perth, Australia.
Charles J DiMaggio, Departments of Anesthesiology and Epidemiology, Columbia University College of Physicians and Surgeons and Mailman School of Public Health, New York, NY (current affiliation: Department of Surgery, New York University School of Medicine, New York, NY).
Ming Sun, Departments of Anesthesiology and Biostatistics, Columbia University College of Physicians and Surgeons and Mailman School of Public Health, New York, NY.
Howard Andrews, Department of Biostatistics, Mailman School of Public Health, New York, NY.
Guohua Li, Departments of Anesthesiology and Epidemiology, Columbia University College of Physicians and Surgeons and Mailman School of Public Health, New York, NY.
Lena S. Sun, Departments of Anesthesiology and Pediatrics, Columbia University College of Physicians and Surgeons, New York, NY.
Britta S. von Ungern-Sternberg, School of Medicine and Pharmacology, The University of Western Australia, Perth, Australia and Department of Anaesthesia and Pain Management, Princess Margaret Hospital for Children, Perth, Australia.
References
- 1.Cattano D, Young C, Straiko MM, Olney JW. Subanesthetic doses of propofol induce neuroapoptosis in the infant mouse brain. Anesth Analg. 2008;106:1712–4. doi: 10.1213/ane.0b013e318172ba0a. [DOI] [PubMed] [Google Scholar]
- 2.Jevtovic-Todorovic V, Hartman RE, Izumi Y, et al. Early exposure to common anesthetic agents causes widespread neurodegeneration in the developing rat brain and persistent learning deficits. Journal of Neuroscience. 2003;23:876–82. doi: 10.1523/JNEUROSCI.23-03-00876.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Loepke AW, Soriano SG. An assessment of the effects of general anesthetics on developing brain structure and neurocognitive function. Anesth Analg. 2008;106:1681–707. doi: 10.1213/ane.0b013e318167ad77. [DOI] [PubMed] [Google Scholar]
- 4.Olney JW, Ishimaru MJ, Bittigau P, Ikonomidou C. Ethanol-induced apoptotic neurodegeneration in the developing brain. Apoptosis. 2000;5:515–21. doi: 10.1023/a:1009685428847. [DOI] [PubMed] [Google Scholar]
- 5.Slikker W, Jr, Zou X, Hotchkiss CE, et al. Ketamine-induced neuronal cell death in the perinatal rhesus monkey. Toxicol Sci. 2007;98:145–58. doi: 10.1093/toxsci/kfm084. [DOI] [PubMed] [Google Scholar]
- 6.Young C, Jevtovic-Todorovic V, Qin YQ, et al. Potential of ketamine and midazolam, individually or in combination, to induce apoptotic neurodegeneration in the infant mouse brain. Br J Pharmacol. 2005;146:189–97. doi: 10.1038/sj.bjp.0706301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Zou X, Liu F, Zhang X, et al. Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey. Neurotoxicol Teratol. 2011;33:592–7. doi: 10.1016/j.ntt.2011.06.003. [DOI] [PubMed] [Google Scholar]
- 8.Bercker S, Bert B, Bittigau P, et al. Neurodegeneration in newborn rats following propofol and sevoflurane anesthesia. Neurotox Res. 2009;16:140–7. doi: 10.1007/s12640-009-9063-8. [DOI] [PubMed] [Google Scholar]
- 9.Paule MG, Li M, Allen RR, et al. Ketamine anesthesia during the first week of life can cause long-lasting cognitive deficits in rhesus monkeys. Neurotoxicol Teratol. 2011;33:220–30. doi: 10.1016/j.ntt.2011.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Satomoto M, Satoh Y, Terui K, et al. Neonatal exposure to sevoflurane induces abnormal social behaviors and deficits in fear conditioning in mice. Anesthesiology. 2009;110:628–37. doi: 10.1097/ALN.0b013e3181974fa2. [DOI] [PubMed] [Google Scholar]
- 11.Disma N, Mondardini MC, Terrando N, Absalom AR, Bilotta F. A systematic review of methodology applied during preclinical anesthetic neurotoxicity studies: important issues and lessons relevant to the design of future clinical research. Paediatr Anaesth. 2016;26:6–36. doi: 10.1111/pan.12786. [DOI] [PubMed] [Google Scholar]
- 12.DiMaggio C, Sun LS, Kakavouli A, Byrne MW, Li G. A retrospective cohort study of the association of anesthesia and hernia repair surgery with behavioral and developmental disorders in young children. J Neurosurg Anesthesiol. 2009;21:286–91. doi: 10.1097/ANA.0b013e3181a71f11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hansen TG, Pedersen JK, Henneberg SW, et al. Academic performance in adolescence after inguinal hernia repair in infancy: a nationwide cohort study. Anesthesiology. 2011;114:1076–85. doi: 10.1097/ALN.0b013e31820e77a0. [DOI] [PubMed] [Google Scholar]
- 14.O’Leary JD, Janus M, Duku E, et al. A Population-based Study Evaluating the Association between Surgery in Early Life and Child Development at Primary School Entry. Anesthesiology. 2016;125:272–9. doi: 10.1097/ALN.0000000000001200. [DOI] [PubMed] [Google Scholar]
- 15.Stratmann G, Lee J, Sall JW, et al. Effect of general anesthesia in infancy on long-term recognition memory in humans and rats. Neuropsychopharmacology. 2014;39:2275–87. doi: 10.1038/npp.2014.134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Backeljauw B, Holland SK, Altaye M, Loepke AW. Cognition and Brain Structure Following Early Childhood Surgery With Anesthesia. Pediatrics. 2015;136:e1–12. doi: 10.1542/peds.2014-3526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Flick RP, Katusic SK, Colligan RC, et al. Cognitive and behavioral outcomes after early exposure to anesthesia and surgery. Pediatrics. 2011;128:e1053–61. doi: 10.1542/peds.2011-0351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Block RI, Thomas JJ, Bayman EO, Choi JY, Kimble KK, Todd MM. Are anesthesia and surgery during infancy associated with altered academic performance during childhood? Anesthesiology. 2012;117:494–503. doi: 10.1097/ALN.0b013e3182644684. [DOI] [PubMed] [Google Scholar]
- 19.Wilder RT, Flick RP, Sprung J, et al. Early exposure to anesthesia and learning disabilities in a population-based birth cohort. Anesthesiology. 2009;110:796–804. doi: 10.1097/01.anes.0000344728.34332.5d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ing C, Dimaggio C, Whitehouse A, et al. Long-term Differences in Language and Cognitive Function After Childhood Exposure to Anesthesia. Pediatrics. 2012;130:e476–85. doi: 10.1542/peds.2011-3822. [DOI] [PubMed] [Google Scholar]
- 21.Ing CH, DiMaggio CJ, Malacova E, et al. Comparative analysis of outcome measures used in examining neurodevelopmental effects of early childhood anesthesia exposure. Anesthesiology. 2014;120:1319–32. doi: 10.1097/ALN.0000000000000248. [DOI] [PubMed] [Google Scholar]
- 22.Casey BJ, Tottenham N, Liston C, Durston S. Imaging the developing brain: what have we learned about cognitive development? Trends Cogn Sci. 2005;9:104–10. doi: 10.1016/j.tics.2005.01.011. [DOI] [PubMed] [Google Scholar]
- 23.Huttenlocher PR, Dabholkar AS. Regional differences in synaptogenesis in human cerebral cortex. J Comp Neurol. 1997;387:167–78. doi: 10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z. [DOI] [PubMed] [Google Scholar]
- 24.Dunn L, Dunn L, Williams K, Wang J. Peabody picture vocabulary test III. Circle Pines, MN: American Guidance Services Inc; 1997. [Google Scholar]
- 25.Semel E, Wiig E, Secord W. Clinical Evaluation of Language Fundamentals. 3. San Antonio, TX: Psychological Corporation Harcourt Brace Co; 1995. [Google Scholar]
- 26.Raven J, Court J, Raven J. Manual for Raven’s Progressive Matricies and Vocabulary Scales-section 2: Coloured progressive matrices. Oxford: Oxford Psychologists Press; 1990. [Google Scholar]
- 27.PC (DOS/WIN/NT) and Unix Version 10.0 - December 2011. Baltimore, MD: Johns Hopkins Bloomberg School of Public Health; 2010. The Johns Hopkins ACG Case Mix System: Version 10.0 Release Notes. [Google Scholar]
- 28.Bellinger DC, Stiles KM, Needleman HL. Low-level lead exposure, intelligence and academic achievement: a long-term follow-up study. Pediatrics. 1992;90:855–61. [PubMed] [Google Scholar]
- 29.Centers for Disease Control and Prevention. Lead. 2016;2016 at http://www.cdc.gov/nceh/lead/ [Google Scholar]
- 30.Davidson AJ, Disma N, de Graaff JC, et al. Neurodevelopmental outcome at 2 years of age after general anaesthesia and awake-regional anaesthesia in infancy (GAS): an international multicentre, randomised controlled trial. Lancet. 2016;387:239–50. doi: 10.1016/S0140-6736(15)00608-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Brambrink AM, Evers AS, Avidan MS, et al. Isoflurane-induced neuroapoptosis in the neonatal rhesus macaque brain. Anesthesiology. 2010;112:834–41. doi: 10.1097/ALN.0b013e3181d049cd. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Valentim AM, Di Giminiani P, Ribeiro PO, Rodrigues P, Olsson IA, Antunes LM. Lower isoflurane concentration affects spatial learning and neurodegeneration in adult mice compared with higher concentrations. Anesthesiology. 2010;113:1099–108. doi: 10.1097/ALN.0b013e3181f79c7c. [DOI] [PubMed] [Google Scholar]
- 33.Lee BH, Hazarika OD, Quitoriano GR, et al. Effect of combining anesthetics in neonates on long-term cognitive function. Int J Dev Neurosci. 2014;37:87–93. doi: 10.1016/j.ijdevneu.2014.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kodama M, Satoh Y, Otsubo Y, et al. Neonatal desflurane exposure induces more robust neuroapoptosis than do isoflurane and sevoflurane and impairs working memory. Anesthesiology. 2011;115:979–91. doi: 10.1097/ALN.0b013e318234228b. [DOI] [PubMed] [Google Scholar]
- 35.Liang G, Ward C, Peng J, Zhao Y, Huang B, Wei H. Isoflurane causes greater neurodegeneration than an equivalent exposure of sevoflurane in the developing brain of neonatal mice. Anesthesiology. 2010;112:1325–34. doi: 10.1097/ALN.0b013e3181d94da5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Istaphanous GK, Howard J, Nan X, et al. Comparison of the neuroapoptotic properties of equipotent anesthetic concentrations of desflurane, isoflurane, or sevoflurane in neonatal mice. Anesthesiology. 2011;114:578–87. doi: 10.1097/ALN.0b013e3182084a70. [DOI] [PubMed] [Google Scholar]
- 37.Sun LS, Li G, Miller TL, et al. Association Between a Single General Anesthesia Exposure Before Age 36 Months and Neurocognitive Outcomes in Later Childhood. JAMA. 2016;315:2312–20. doi: 10.1001/jama.2016.6967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Johnson SA, Young C, Olney JW. Isoflurane-induced neuroapoptosis in the developing brain of nonhypoglycemic mice. J Neurosurg Anesthesiol. 2008;20:21–8. doi: 10.1097/ANA.0b013e3181271850. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.