Increasing Cumulative Exposure to Volatile Anesthetic Agents Is Associated with Poorer Neurodevelopmental Outcomes in Children with Hypoplastic Left Heart Syndrome

Abstract

Objectives

Despite improved survival in children with hypoplastic left heart syndrome (HLHS), significant concern persists regarding their neurodevelopmental (ND) outcomes. Previous studies have identified patient factors, such as prematurity and genetic syndromes, to be associated with worse ND outcomes. However, no consistent relationships have been identified among modifiable management factors, including cardiopulmonary bypass strategies, and ND outcomes after cardiac surgery in infancy. Studies in immature animals, including primates, have demonstrated neurodegeneration and apoptosis in the brain after certain levels and extended durations of anesthetic exposure. Retrospective human studies have also suggested relationships between adverse ND effects and anesthetic exposure.

Methods

Cumulative minimum alveolar concentration hours (MAC-hrs) of exposure to volatile anesthetic agents (VAA) (desflurane, halothane, isoflurane and sevoflurane) were collected from an anesthetic database and medical record review for 96 patients with HLHS or variants. ND testing was performed between ages 4 and 5 years including full-scale IQ, verbal IQ, performance IQ and processing speed. Four generalized linear modes were hypothesized a priori and tested using a Gaussian (normal) distribution with an identity link.

Results

Cumulative VAA exposure ranged from 0 to 35.3 MAC-hrs (median 7.5 hrs). Using specified covariates identified previously as significant predictors of ND outcomes, statistically significant relationships were identified between total MAC-hrs exposure and worse full-scale IQ and verbal IQ scores (p’s < 0.05) alone and after adjusting for relevant covariates.

Conclusion

Increased cumulative MAC-hrs exposure to VAA is associated with worse ND outcomes in certain domains in children with HLHS and variants.

Introduction

Each year approximately 10,000 neonates and infants receive general anesthesia (GA) for repair of congenital heart defects (CHD). ¹ Neurodevelopmental (ND) disability occurs in many survivors, resulting in an increasing focus on prevention of adverse ND outcomes.² There is increasing evidence of congenital and acquired preoperative central nervous system (CNS) abnormalities in infants with CHD.^{3, 4} While some studies have implicated perioperative factors such as the use of CPB with or without deep hypothermic circulatory arrest (DHCA) and postoperative length of stay (LOS), these findings are not consistent. ^{5, 6} Instead, patient-specific factors such as birth weight, ethnicity, and presence of a genetic syndrome, have been identified as the strongest predictors of ND outcomes in infants undergoing cardiac surgery, including those with hypoplastic left heart syndrome (HLHS).^{7, 8}

Over the past decade, studies in immature animal models, including primates, have documented neurotoxic effects on the developing brain following exposure to all anesthetic and sedative medications commonly administered to infants and children.^{9, 10} Retrospective studies in humans have shown associations between exposure to GA in early childhood and increased likelihood of subsequent behavioral or developmental disabilities.^{11, 12} Two recent studies have reported a potential relationship between anesthetic exposure and ND outcomes in children with CHD, but with conflicting results. ^{13, 14} Significant questions remain regarding the period of maximal vulnerability to anesthetic exposure in neonates and infants, the role specific anesthetic agents may play with respect to ND outcomes, and the effects of duration of anesthetic exposure and cumulative dose. No previous study has evaluated the potential ND effects of VAA using a homogeneous sample of preschool children with CHD with: 1) repetitive exposure to anesthetic agents beginning in infancy, 2) precise quantification of the cumulative anesthetic exposure and 3) formal evaluation of intelligence.

Our previous analysis of ND outcomes in a patient cohort with single ventricle CHD, consisting primarily of children with HLHS, found that patient factors were more important predictors than operative management variables, but anesthetic exposure was not assessed.¹⁵ The current study was undertaken to build on these findings and evaluate the potential impact of increasing cumulative exposure to VAA, a modifiable management factor, on ND in preschool children with HLHS or variants.

Materials and Methods

Sample

This study constitutes of a subgroup analysis of patients enrolled in a prospective study evaluating the effects of apolipoprotein E (APOE) gene polymorphisms on ND outcome after cardiac surgery requiring CPB in infants 6 months of age or less.¹⁶ Exclusion criteria for the overall study were: 1) presence of multiple congenital anomalies, 2) recognized genetic or phenotypic syndrome other than chromosome 22q11 microdeletion, and 3) language other than English spoken in the home. Premature and low birth weight infants were enrolled. The current study evaluated a subgroup of infants with HLHS or variants from the time of initial anesthetic exposure to the time of ND follow-up between the ages of 4 and 5 years. All exposures to VAA at our institution during the time period from initial admission to the 4 to 5 year ND evaluation were collected retrospectively. The Institutional Review Board at The Children’s Hospital of Philadelphia approved the study and written informed consent was obtained for the primary study from a parent or guardian.

Data Collection

Demographic and preoperative factors including gestational age, birth weight and head circumference (HC), Apgar scores and preoperative intubation were obtained from birth and hospital records. For all operative encounters, weight, age at operation and type of operation were recorded. For cardiac surgeries utilizing CPB, perfusion data including aortic cross clamp time, CPB time, duration of DHCA, total support time (CPB time plus DHCA time), lowest nasopharyngeal (NP) temperature, and hematocrit after hemodilution on CPB, were recorded.

Intraoperative exposure to VAA for all cardiac and non-cardiac procedural encounters occurring in an anesthetizing location was retrieved from an Anesthesia Information Management System (AIMS) database (CompuRecord, Phillips Medical System, Andover MA) from the time of first anesthetic exposure to the date of ND assessment. All exposures to VAA were automatically recorded at intervals ranging from 15 seconds to 2 minutes throughout the procedure for each procedural encounter, with end-tidal exhaled concentrations utilized for exposure calculations. Since VAA administration frequently continued to the time of departure from the anesthetizing location, elimination assumptions were developed and utilized if the last recorded expired concentration of VAA in the anesthetizing location was greater than zero in order to account for total VAA exposure. End-tidal concentrations of all VAA were assumed to drop by 50% five minutes after cessation of administration. A concentration drop to 0 in 10 minutes was assumed for sevoflurane and desflurane, and a drop to 0 in 30 minutes was assumed for halothane and isoflurane.^17–19 Total VAA exposure was then calculated using the area-under-the-curve (AUC) method, and subsequently converted to age-adjusted minimum alveolar concentration-hours (MAC-hrs). ^20–22 Total VAA exposure, or cumulative MAC-hr exposure, was then determined for each patient inclusive of all known anesthetic exposures to the time of developmental assessment.

Genetic Evaluation and Neurodevelopmental Examination

Comprehensive ND evaluation of children was performed between their 4^th and 5^th birthdays. Growth measurements were obtained including weight, length, and HC. Maternal education and the child’s ethnicity were assessed by parental report. Familial socio-economic status (SES) was assessed by parental report according the Hollingshead scale quintiles.²³ A health history was obtained, focusing on interim illnesses, hospitalizations, neurologic events, current medications and parental concerns regarding the child’s health. Patients were examined by a genetic dysmorphologist at either 1 or 4 years of age.

Cognitive skills were assessed using the Wechsler Preschool and Primary Scale of Intelligence, 3^rd edition (WPPSI-III), a standardized test of intelligence for children 3.5 to 7 years old that is commonly used in both clinical and research settings. It takes approximately 45 minutes to administer and yields 4 summary scores, including full-scale IQ (FSIQ), verbal IQ (VIQ), performance IQ (PIQ) and processing speed, with a mean score of 100 and standard deviation of 15 points. The WPPS-III has been shown to have moderate to very high reliability (the coefficients for verbal, performance, processing speed, full and general language were 0.92, 0.87, 0.93, 0.92 and 0.90, respectively) and validity (correlation with other cognitive tests in the positive and significant range of 0.74–0.90) in a variety of studies.²⁴ If a child was judged to be too impaired to complete the tasks, the lowest possible score for the specific test was assigned. If unable to complete the task for other reasons, the child was excluded from the analysis for that domain.

Statistical Analysis

The aim was to test the hypothesis that, after adjusting for relevant risk factors, cumulative exposure to VAA is inversely related to neurocognitive function in children with HLHS. This hypothesis builds upon knowledge gained in a previous, related study regarding risk factors for neurocognitive function in a sample of children with single ventricle physiology who had undergone the Fontan procedure.¹⁵ Of the 96 children in this current study, 91 (95%) were included in the earlier (Fontan) study, allowing us to explicitly test the impact of VAA on neurocognitive function in the context of previously identified risk factors, using a broader but nearly identical cohort of children with HLHS. Data analysis proceeded in two discrete phases, a descriptive phase and an inferential phase. Descriptive statistics were first compared for all relevant variables in the data set, across the entire sample of patients with HLHS (n = 96), using parametric as well as non-parametric measures of central tendency, variation, and association. Frequency counts and histograms were used for variables that were categorical or ordinal in nature.

Inferentially, four different generalized linear modes were hypothesized a priori and tested in accord with the overall aim of the study, using a Gaussian (normal) distribution with an identity link. Four different measures of neurocognitive development from the Wechsler Preschool and Primary Scale of Intelligence III (WPPSI – III, FSIQ, VIQ, PIQ and processing speed) were regressed onto a cumulative measure of VAA (cumulative MAC-hrs) after adjusting for previously identified statistically significant covariates reported by Gaynor et al.¹⁵ Included covariates were as follows: CPB, post-operative LOS, gestational age, birth weight and lowest hematocrit on CPB, but varied by model. For this reason, due to the close association between this sample and the one evaluated in the previous study, these covariates were hypothesized by model to be critical and statistically significant covariates with which to evaluate the impact of VAA on intelligence. All model assumptions were tested and deemed tenable prior to analysis, including linearity, independence, homoscedasticity, and normality of errors for three of the four models (FSIQ, VIQ, PIQ). For these models, Shapiro-Wilk tests for violations of normality were conducted and satisfied based on nonsignificant results (p = 0.29 to 0.83) even in the presence of a skewed Mac-hrs covariate. However, the Processing Speed model achieved a normal conditional error distribution test (p > 0.05) only after transforming the outcome using a Box-Cox transformation (^-1.53), a natural log transformation of Mac-hrs, and removal of one outlier. Criteria for statistical significance included an overall test significance at an adjusted α_ADJ = 0.015 level to account for the correlated nature of the four outcomes using Turkey, Chimaera and Heyse’s adjustment for multiple comparisons.²⁵ Wald test for individual covariates within a particular model were evaluated at the α = 0.05 level. Because of the Gaussian nature of the models, fit statistics and R² values were also estimated using traditional regression methods. All data were analyzed using SAS v 9.3.

Results

Between October 1998 and April 2003, 675 infants were eligible for cardiac surgery, with 550 (81%) enrolled in the APOE study. Of these, 486 were eligible for four-year ND evaluation, which was completed by 381(78%) subjects. The only difference in baseline characteristics between returning and non-returning patients was under representation of non-Hispanic black patients in returning patients (21% vs. 29%). Ninety-six (25%) of patients returning for four-year evaluation had undergone staged reconstruction for HLHS or variants and form the current study population. Baseline and clinical characteristics are summarized in Table 1.

TABLE 1.

BASELINE COVARIATES

Variable	f (%)	Mean (SD)	Median (Q1, Q3)
Gestational age (wks)		38.4 (1.9)	39.0 (38.0, 39.0)
Birth weight (kg)		3.2 (0.6)	3.2 (2.9, 3.7)
Gender
Male	54 (56.2)
Female	42 (43.8)
Ethnicity
Asian-Pacific, Hispanic, Native American, or other	5 (5.2)
Black	18 (18.8)
White	73 (76.0)
Maternal Education
Less than high school	4 (4.2)
High school/some college	39 (41.0)
College degree	37 (39.0)
Graduate degree	15 (15.8)
Socio-economic Status
Unskilled laborers, menial service workers	3 (3.2)
Machine operators, semi-skilled workers	6 (6.4)
Skilled craftsman, clerical, sales workers	21 (22.3)
Medium business, minor professional, technical	29 (30.9)
Major business and professional	35 (37.2)
APOE
ε2 (ε2ε2, ε2ε3)	12 (12.5)
ε3 (ε3ε35)	55 (57.3)
ε4 (ε3ε3, ε3ε4)	25 (26.0)
ε2, ε4	4 (4.2)

N = 96 except for maternal education (n = 95) and SES (n = 94). Q₁ = first quartile, Q₃ = third quartile.

Initial surgical intervention with CPB was performed on 94 patients (98%) as neonates (< 30 days). DHCA was uniformly used for aortic arch reconstruction. All children underwent additional cardiac and/or non-cardiac surgical procedures after their initial cardiac surgery, and anesthetic exposure data was evaluated for all procedures occurring at our institution up to the date of ND evaluation, with the last ND evaluation occurring in February 2008. In this subgroup of 96 patients, initial VAA exposure occurred at less than one year of age in all but two patients (97.9%), and at less than one month of age in 45 (46.8%). DHCA was uniformly used for aortic arch reconstruction.

Retrieval of AIMS anesthetic case-specific numbers associated with the medical record numbers of the 96 patients yielded 726 case records. Of these, 25 handwritten records could not be located for review, and in 12 additional cases anesthetic care was provided as “standby” only. Thus 689 encounters were reviewed; anesthetic encounters per patient ranged from 1–26 (median 6). Cumulative exposure to VAA ranged from 0 to 35.3 MAC-hrs (median 7.5 hrs) with 95/96 patients exposed to VAA. Of the 689 anesthetic records evaluated, 496 included exposures to VAA, with 37/96 (38.5%) patients exposed to VAA during their initial cardiac surgery.

Among the four models tested, all four models yielded statistically significant omnibus values, suggesting a statistically significant relationship between the hypothesized covariates and each outcome. The relationship between VAA exposure and the outcomes are shown in figure 1. However, only two of the four models (WPPSI-III FSIQ and VIQ) yielded statistically significant relationships with the covariate of interest, total MAC-hrs. Below is a summary of the results by model using the pre-specified covariates identified as significant predictors by previous analysis.²⁴ (Table 2) The table provides a complete listing of parameter estimates, 95% confidence limits and Wald statistics for each model below. Significance levels less than the p = 0.01 were denoted as p < 0.01 for consistency (two decimal places). All others are statistically significant terms are denoted with the actual p value, still maintaining two decimal places.

Figure 1.

Figure 1A: Relationship between cumulative VAA exposure and full-scale IQ

Figure 1B: Relationship between cumulative VAA exposure and verbal IQ

Figure 1C: Relationship between cumulative VAA exposure and performance IQ

Figure 1D: Relationship between cumulative VAA exposure and processing speed

TABLE 2.

MANAGEMENT COVARIATES

Variable	f (%)	Mean (SD)	Median (Q1, Q3)
Operative characteristics (1st cardiac surgery)
Age (d)		6.6 (14.4)	3.0	(2.0, 6.5)
Weight (kg)		3.3 (0.8)	3.2	(2.8, 3.7)
Total CPB time (min)		54.6 (25.7)	44.0	(39.0, 61.5)
Total DHCA time (min)		44.6 (14.8)	42.0	(36.0, 53.0)
Hematocrit after hemodilution (%)		28.8 (4.0)	29.0	(26.0, 31.0)
Postoperative length of stay (d)		15.9 (11.6)	11.0	(9.0, 18.0)
Additional cardiac operations before 4-y evaluation		2.1 (0.4)	2.0	(2.0, 2.0)
Total additional CPB before ND evaluation (min)		167.5 (78.9)	137.5	(116.5, 203.5)
Total additional DHCA before ND evaluation (min)		86.7 (30.5)	83.5	(72.0, 98.0)
Preoperative mechanical ventilation (y)	40 (41.7%)
Use of ECMO/LVAD (y)	4 (4.2%)
Delayed sternal closure (y)	18 (18.8%)

Note. N = 96, ND = neurodevelopmental, Q₁ = first quartile, Q₃ = third quartile.

• Model 1 (Full Scale IQ) yielded a statistically significant relationship between the aforementioned covariates and WPPSI Full Scale IQ score (p < 0.01, R² = 0.34, n = 96). Total MAC-hrs was deemed to be statistically significant (p = 0.02) after adjusting for the specified covariates: gestational age (p = 0.02), CPB (p = 0.06), hematocrit (p < 0.01) and post-operative length of stay (p < 0.01). Comparison of nested models with and without Mac-hrs yielded a statistically significant F_obs = 4.58 (p < 0.05) for the covariate of interest.

• Model 2 (Verbal IQ) yielded a statistically significant relationship between aforementioned covariates and WPPSI Verbal IQ score (p < 0.01, R² = 0.30, n = 96). Total MAC-hrs was deemed to be statistically significant (p = 0.01) after adjusting for covariates: CPB (p = 0.11), hematocrit (p < 0.01) and post-operative length of stay (p < 0.01). Comparison of nested models with and without Mac-hrs yielded a statistically significant F_obs = 6.73 (p < 0.05) for the covariate of interest.

• Model 3 (Performance IQ) yielded a statistically significant relationship between the aforementioned covariates and WPPSI Performance IQ score (p < 0.01, R² = 0.16, n = 95), however, only birth weight (p = 0.04) and post-operative LOS (p = 0.04), were found to be statistically significant. All other terms, including total MAC-hrs (p = 0.43) were not statistically significant.

• Model 4 (Processing Speed) yielded a statistically significant relationship between the aforementioned covariates and WPPSI Processing Speed (p < 0.01, R² = 0.22 and n = 86), but only gestational age (p < 0.01) and post-operative length of stay (p = 0.01) were statistically significant. Total MAC-hrs (p =0.66) was not statistically significant.

DISCUSSION

This study provides evidence that in children undergoing staged reconstructive surgery for HLHS, increasing cumulative exposure to VAA beginning in infancy is associated with worse performance for full-scale IQ and verbal IQ, suggesting that VAA exposure may be a modifiable risk factor for adverse ND outcomes. The current study has several advantages in comparison to previous studies. Study candidates belonging to a homogeneous diagnostic category were identified and enrolled prior to initial surgery, allowing for identification and prospective data collection of both patient-related and perioperative variables. Volatile anesthetic exposure was more precisely quantified than in any previous study. Cognitive testing was performed by a dedicated team of pediatric behavioral specialists who were unaware of the anesthetic exposure, with the advantage of revealing deficits in specific domains that would perhaps not be evident solely by observations of academic performance, school records, or parental surveys. ND assessment in preschool children allows improved evaluation of higher and more complex function that does earlier assessment.

Neonates born with HLHS have a significant risk of subsequent ND disability. The multicenter Single Ventricle Reconstruction (SVR) trial evaluated ND outcomes in 314 children with HLHS at a mean age of 14.3 1. ± 1 months utilizing the Bayley Scales of Infant Development- II (BSID-II), finding that patients with no recognized genetic syndrome and a birth weight > 2.5 kg had the highest scores. Patient characteristics and measures of greater severity of illness were more highly associated with adverse ND outcomes than were medical or operative management strategies.⁷ Importantly, anesthetic management was not evaluated.

Animal studies have shown the developing mammalian brain is vulnerable to anesthetic-induced damage. ^{26, 27} In humans the neonatal period corresponds with the period of greatest vulnerability to anesthetic exposure.²⁸ Although some studies have included patients exposed to GA at < 1 year of age, most studies have examined patients who received GA closer to 2 to 3 years of age.^{13, 14, 29, 30} The majority of our patients were initially exposed to GA including VAA at < 6 months of age (81.2%), with 45/96 (46.8%) exposed as neonates. Additionally, we documented repeated anesthetic exposure in all but one subject. Recent cohort studies have evaluated exposure to GA during infancy or early childhood in children. Block et al examined 158 patients anesthetized at < 1 year of age, with a subgroup of patients identified as having no pre-existing CNS problems.²⁹ In both groups a higher proportion of children performed below the 5^th percentile in state achievement tests compared to unexposed children. However, anesthetic drug exposure was provided only for the subgroup, without exposure quantification. In a matched cohort of 350 patients exposed to GA before age 2 years, Flick et al found multiple anesthetic/surgical exposures significantly increased the risk for development of learning disabilities even after adjusting for health status.³⁰ The majority of patients received halothane and nitrous oxide as the primary anesthetic, with no precise information available regarding exposure.⁴¹ Although some of our patients received halothane, the majority of exposure in our cohort was to isoflurane, making our results more applicable to current practice.

Several studies have attempted to examine possible effects of early anesthetic exposure in infants with CHD. Guerra and colleagues examined a heterogeneous population of 95 children with CHD who underwent cardiac surgery at < 6 weeks of age, 24% with a diagnosis of HLHS. ¹⁴ Anesthetic/sedative data between birth and age 6 weeks were collected retrospectively from chart review. Additional anesthetic exposures between age 6 months and ND testing were not evaluated. Initial ND assessment was performed between 18 – 24 months of age, but different evaluations [BSID-II and Bayley Scales of Infant and Toddler Development-III (Bayley-III)] were used for patient assessment, ²³ complicating outcome assessment. No association between dose and duration of sedative/analgesic drug exposure and adverse ND outcomes was found. The same population (n = 91) was re-evaluated at 4 years of age utilizing WPPSI–III for FSIQ, PIQ, and VIQ, the Beery-Buktenica Developmental Test of Visual Motor Integration (VMI) and Adaptive Behavior Assessment System at the patient’s respective referral institutions. Small but statistically significant correlations were identified between days of exposure to chloral hydrate and PIQ, and cumulative benzodiazepine exposure with lower VMI score. No associations were found between sedation/anesthesia variables and FSIQ, PIQ, VIQ or VMI scores.³¹

Andropoulos et al followed 30 patients who underwent arterial switch operation as neonates, 20 of whom were evaluated at 12 months of age with Bayley-III. ¹³ During the initial cardiac surgery isoflurane exposure was calculated in 15 minute increments, while ICU medications were noted for the first 72 hours postoperatively. For the 20 patients who underwent ND testing only 0–1 additional anesthetic exposure were recorded in the first 12 months. An association was described between larger total midazolam doses and lower Language and Motor scores, and larger total fentanyl doses were associated with higher Cognitive scores. Subsequently Andropoulos and colleagues reported a retrospective cohort of 59 neonates with complex CHD who underwent surgery with CPB within the first 30 days of life. Perioperative anesthetic and sedative data for the initial intraoperative exposure and the subsequent 72 hours was collected, and retrospective chart review was utilized to collect volatile and intravenous anesthetic exposure in the first year of life. VAA data was collected from both handwritten and electronic records at 5 and 15-minute intervals. A consistent association was identified between longer ICU LOS and lower Bayley-III scores, and additionally, increasing VAA exposure was significantly associated with lower Cognitive scores.³²

Limitations

Study limitations include retrospective assessment of anesthetic exposure and limitations related to collection of volatile anesthetic exposure. Automated record keeping allowed VAA data capture every two minutes at a minimum, with capture every 15 seconds after 2003. However, anesthetic exposure may have been underestimated in some patients. In off-site venues without AIMS, VAA administration data documented via handwritten record was not included due to its relative inaccuracy compared to automated records. Similarly, for cases utilizing CPB, VAA was frequently administered during CPB via a vaporizer in the bypass circuit. At the time of the study perfusion records did not reflect VAA administration, however even if VAA had been noted accurate estimation of VAA exposure comparable to our other data would not have been possible. Most importantly, we were only able to analyze anesthetic exposure for procedures occurring at our institution. Some children had procedures performed at other institutions, and the number of these procedures and the resultant anesthetic exposure is not known.

Longer hospital LOS and the need for additional cardiac operations during the first year of life have been correlated with worse ND outcomes in the patient cohort.^{7, 33} Children with a longer LOS are also more likely to have undergone additional surgeries or procedures requiring increased exposure to anesthetic or sedative drugs. We have attempted to control for this by adjusting for both LOS after Stage I palliation (Norwood procedure), which is likely to be the child’s longest hospitalization, and number of cardiac operations. Finally, the potential exists that certain VAA exposures could confer neuroprotective effects.³⁴

Conclusion

This study demonstrates that cumulative VAA exposure with initial volatile anesthetic exposure for neonates with HLHS and extending to 4 to 5 years of life, with standardized comprehensive ND assessment at that time. After adjusting for multiple covariates previously demonstrated to influence ND outcomes, we demonstrated that greater exposure to VAA is correlated with worse outcomes in both full-scale and verbal IQ scores. Although important, these findings are preliminary and cannot yet justify changing current practice. Non-modifiable patient specific factors have been shown to contribute to ND outcomes, but modifiable factors such as anesthetic and sedative exposure must be further examined in order to improve outcomes and quality of life of survivors with CHD. Prospective randomized controlled multi-center clinical trials are indicated to continue to clarify the effects of early and repetitive exposure to VAA in this and other pediatric populations.

Table 3.

Full-Scale IQ, Verbal IQ, Performance IQ, and Processing Speed Regression Models

Model Covariate	β	SE	95% CL		p	Model p-value	R2
Model 1: Full-Scale IQ						< 0.01	0.34
Total mac hrs	−0.53	0.24	−1.00	−0.07	0.02
Gestational age	1.88	0.80	0.32	3.44	0.02
CPB	−0.04	0.02	−0.07	0.00	0.06
Hematocrit	1.18	0.37	0.46	1.90	< 0.01
Post-op LOS	−0.41	0.13	−0.67	−0.15	< 0.01
Intercept	3.46	33.94	−63.06	69.98
Model 2: Verbal IQ						< 0.01	0.30
Total mac hrs	−0.67	0.25	−1.17	−0.18	0.01
CPB	−0.03	0.02	−0.07	0.01	0.11
Hematocrit	1.19	0.39	0.42	1.96	< 0.01
Post-op LOS	−0.46	0.14	−0.72	−0.19	< 0.01
Intercept	80.90	12.50	56.41	105.39
Model 3: Performance IQ						< 0.01	0.16
Total mac hrs	−0.20	0.25	−0.68	0.29	0.43
Birth weight	5.27	2.62	0.15	10.40	0.04
CPB	−0.03	0.02	−0.08	0.01	0.10
Post-op LOS	−0.30	0.14	−0.58	−0.02	0.04
Intercept	86.36	10.14	66.49	106.23
Model 4: Processing Speed						< 0.01	0.22
Total mac hrs (ln)	− 9.44e−6	2.15e-5	− 5.22e-5	3.33e-5	0.66
Gestational age	− 5.38e-5	1.70e-5	− 8.76e-5	− 1.99e-5	< 0.01
Post-op LOS	6.34e-6	2.53e-6	1.31e-6	1.14e-5	0.01
Intercept	3.08e-3	6.63e-4	1.76e-3	4.40e-3

Perspective Statement.

Studies in immature animals have documented neurotoxic effects of common anesthetic agents. Studies in children have shown associations between anesthetic exposure and increased likelihood of developmental disabilities. This study shows that in children with HLHS, increasing exposure to VAA is associated with worse ND outcomes, suggesting that VAA exposure may be a modifiable risk factor.

Central Message.

This study shows that greater exposure to volatile anesthetic agents (VAA) is correlated with worse ND outcomes for patients with HLHS.

Abbreviations

AIMS

Anesthesia Information Management System

APOE

Apolipoprotein E

AUC

Area-under-the-curve

BSID-II

Bayley Scales of Infant Development- II

CPB

Cardiopulmonary bypass

CNS

Central nervous system

DHCA

Deep hypothermic circulatory arrest

CHD

Congenital heart defects

FSIQ

Full-scale IQ

GA

General anesthesia

HC

Head circumference

HLHS

Hypoplastic left heart syndrome

LOS

Length of stay

MAC-hrs

Minimum alveolar concentration hours

NP

Nasopharyngeal

ND

Neurodevelopmental

PIQ

Performance IQ

SES

Socio-economic status

VIQ

Verbal IQ

VAA

Volatile anesthetic agents

WPPSI-III

Wechsler Preschool and Primary Scale of Intelligence, 3^rd edition