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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: J Pediatr. 2016 Feb 11;173:154–159. doi: 10.1016/j.jpeds.2016.01.028

Executive Functioning and School Performance Among Pediatric Survivors of Complex Congenital Heart Disease

Melissa Gerstle 1, Dean W Beebe 1, Dennis Drotar 1, Amy Cassedy 2, Bradley S Marino 3
PMCID: PMC4884495  NIHMSID: NIHMS751433  PMID: 26875011

Abstract

Objective

To investigate the presence and severity of real-world impairments in executive functioning– responsible for children’s regulatory skills (metacognition, behavioral regulation) – and its potential impact on school performance among pediatric survivors of complex congenital heart disease (CHD).

Study design

Survivors of complex CHD aged 8–16 years (n=143)and their parents/guardians from a regional CHD survivor registry participated (81% participation rate). Parents completed proxy measures of executive functioning, school competency, and school-related quality of life (QOL). Patients also completed a measure of school QOL and underwent IQ testing. Patients were categorized into two groups based on heart lesion complexity: two-ventricle or single-ventricle.

Results

Survivors of complex CHD performed significantly worse than norms for executive functioning, IQ, school competency, and school QOL. Metacognition was more severely affected than behavioral regulation, and metacognitive deficits were more often present in older children. Even after taking into account demographic factors, disease severity, and IQ, metacognition uniquely and strongly predicted poorer school performance. In exploratory analyses, patients with single-ventricle lesions were rated as having lower school competency and school QOL, and patients with two-ventricle lesions were rated as having poorer behavioral regulation.

Conclusions

Survivors of complex CHD experience greater executive functioning difficulties than healthy peers, with metacognition particularly impacted and particularly relevant for day-to-day school performance. Especially in older children, clinicians should watch for metacognitive deficits, such as problems with organization, planning, self-monitoring, and follow-through on tasks.

Keywords: cardiac, cognitive, child, scholastic, neuropsychology


Congenital heart disease (CHD) is the most common congenital structural defect, occurring in 9 out of 1,000 live births,1 with one-third having complex CHD requiring intervention during the neonatal period.2 At one time, rapid deterioration and death were the expected outcomes for complex CHD, but medical advances have improved 20-year survival rates to around 80%.3 Unfortunately, survivors often suffer neurodevelopmental morbidity due to prenatal factors (e.g., reduced brain volume) as well as chronic or intermittent hypoxia, hypoperfusion, reperfusion, or ischemia related to their circulatory abnormalities and associated medical interventions.47 Accordingly, children with CHD are at higher risk of cognitive deficits and poorer school outcomes than their healthy counterparts,811 with many requiring special educational services.12, 13 In one large multi-center study, 35% of children with CHD required some form of special education.14

To better address scholastic concerns, it is important to understand the underlying contributors. Intelligence is a key factor, but IQ accounts for only 25% of variance in school performance for survivors of CHD.9 Beyond IQ, executive functioning has emerged as an important predictor of school performance in healthy children.1517 Executive functioning broadly encompasses two main components: behavior regulation (control of emotional and behavioral impulses) and metacognition (planning, organization, self-monitoring, initiation, and follow-through).18 These executive skills are integral to a child’s cognitive, emotional, and social development.

Among pediatric survivors of complex CHD, few studies have examined deficits on structured tests of executive functioning or its real-world implications. Most studies indicate roughly ¼ to ½ of survivors score abnormally low, 8, 19, 20 although one study found rates as high as ¾ of survivors.21 However, these studies generally failed to include patients’ self-report or parent proxy measures of executive functioning functioning. Because structured tests can fail to appreciate executive functioning deficits that are evident in real-world settings (e.g., trouble starting homework, overreacting to minor infractions),18 actual rates of impairment may be even greater. In light of growing numbers of survivors of CHD and the potential for long-term morbidity, it is important to understand the risks for real-world executive functioning deficits as well as their impact on what is arguably the most important “job” of school-age children: school performance.

The current study had two main aims. The first aim was to investigate whether executive functioning deficits in daily life (per parent report) are differentially present in pediatric survivors of complex CHD surgery and, concurrently, to confirm the presence of lower intellectual functioning and greater school problems. We hypothesized that survivors would have significantly worse group scores and have higher rates of impairment, than published norms across measures of executive functioning, intelligence, and school functioning. Exploratory analyses also examined whether the behavior regulation versus metacognitive aspects of executive functioning were differentially affected and whether effects varied by age or heart lesion complexity (1- vs. 2-ventricle disease). Patients with single-ventricle lesions often have many more medical complications due to the complexity of their disease and required treatments. They require multiple operations during their lifetime and have a much higher use of medical care utilization including, the need for cardiac catheterization, multiple hospitalizations, the requirement of multiple medications, and many doctor visits annually. The second aim was to clarify the scholastic implications of executive functioning morbidity in survivors of complex CHD surgery. We hypothesized that poor executive functioning would be associated with worse school functioning, over and above associations with demographic characteristics, intelligence, and heart lesion complexity.

METHODS

This cross-sectional study was approved by the Institutional Review Board at Cincinnati Children’s Hospital Medical Center (CCHMC). English-speaking survivors of CHD surgery aged 8–16 years were recruited via mailings and phone calls from 2008 and 2010 to a regional registry of children who had all undergone cardiac surgery in the neonatal period (28 days or less) or infancy (1 month to 1 year). Survivors were eligible to participate if they had a primary diagnosis of complex two-ventricle CHD [Transposition of the Great Arteries (TGA) or Tetralogy of Fallot (TOF)] or single-ventricle CHD requiring Fontan palliation, and had undergone cardiac surgery at CCHMC or were followed at CCHMC or Dayton Children’s Hospital. Survivors were excluded for other significant medical diseases (e.g., cancer); comorbid genetic syndrome contributing to developmental delay; pregnancy; or an unrelated major life event within the past six months (e.g., serious illness of a family member, parental divorce) that may impact quality of life. Parents provided written consent, and children provided verbal or written assent. As part of a larger study on neurodevelopmental outcomes, children underwent neuropsychological evaluation while parents completed questionnaires. Demographic information and medical history were obtained via parent report and review of the medical record.

The parent-report version of the Behavior Rating Inventory of Executive Function (BRIEF)18 is a 86-item questionnaire designed to assess the various facets of executive functioning in an everyday environment in school-aged children aged 5 – 18 years. The BRIEF has two summary indices: Metacognition and Behavioral Regulation. Metacognition encompasses abilities involved in working memory; initiating, planning, and organizing tasks; and monitoring performance. Behavioral Regulation is defined as the ability to shift mindset and regulate and control emotions and behavior. Both indices have excellent internal consistency and test-retest reliability18 and have been shown to be sensitive to executive functioning deficits in patients with surgically-corrected CHD.11 Age- and sex-normed scores are expressed in T-score units, with higher scores indicating worse difficulties.

School performance can be difficult to measure. Grading schemes vary, and academic knowledge (assessed via formal tests) is only indirectly related to day-to-day functioning.22 With the goal of assessing day-to-day performance at school, we measured the overlapping constructs of school competency and school-related quality of life (QOL). School competency was assessed by the Child Behavior Checklist (CBCL), which queries parents on the child’s typical grades (using a standardized metric) and the need for educational supports.23 The CBCL is highly reliable and valid, and the School Competency Index is sensitive to adverse effects of CHD.11 School-related QOL was assessed by the School Functioning subscale of the Pediatric Quality of Life Inventory (Peds-QL),24 a generic health-related QOL measure with scores that are highly reliable, valid, and generalizable25 and has been used previously in pediatric cardiovascular populations.10 The Peds-QL School subscale inquires about day-to-day classroom-relevant functional skills (eg, keeping up with schoolwork). Both measures were age- and sex-normed to T-scores, with higher scores indicating better functioning.

The Wechsler Intelligence Scale for Children (WISC-IV) is a widely-used, reliable, and valid instrument that assesses intelligence in children aged 6–16 years. To minimize burden, an 8-subtest short form of the WISC-IV was used to yield a prorated full scale IQ.26

Demographic covariates included age, sex, race (recoded as white/non-white), and yearly family income (dichotomized at $51,000, the U. S. median income level for 2012). The number of school days missed for any reason (ie, cardiac reasons or for reasons other than cardiac-related) was recoded into number of weeks of school missed (Table I).

Table 1.

Sample Characteristics

Total Sample Comparison of subsamples
1-ventricle 2-ventricle p-value
Sample size, n (%) 143 51 (36%) 92 (64%) < 0.001
Demographics
 Male, n (%) 86 (60%) 31 (61%) 55 (60%) 0.91
 White, n (%) 119 (83%) 46 (90%) 73 (79%) 0.10
 Family Income Below $51,000, n (%) 57 (43%) 20 (44%) 37 (42%) 0.87
 Age at time of study, mean (SD) 12.0 (2.6) 11.9 (2.6) 12.1 (2.6) 0.69
Medical Care Utilization
 # Cardiac Surgeries, median (range) 2 (1–5) 3 (2–5) 1 (1–5) < 0.001
 # Catheterizations/Interventions, median (range) 2 (0–9) 3 (2–9) 1 (0–9) < 0.001
 Years since last hospitalization, median (range) 7.7 (0–16) 5.0 (0–15) 9.0 (0–16) < 0.001
Patient Education History
 Diagnosed with Learning Disability, n (%) 38 (27%) 14 (28%) 24 (26%) 0.86
 Have Individualized Education Program (IEP), n (%) 38 (27%) 18 (35%) 20 (22%) 0.08
 History of grade retention, n (%) 30 (21%) 20 (39%) 10 (11%) < 0.001
 School weeks missed in past year due to CHD, median (range) 0 (0–21) 0 (0–12) 0 (0–21) 0.11
 Total school weeks missed in past year, median (range) 3 (0–60) 4 (0–23) 3 (0–60) 0.04

Note: p-value calculated based upon independent-sample t-test for age, chi-square test for dichotomous variables, and Wilcoxon Rank Sums Test non-parametric tests.

Group differences on measures of IQ, executive functioning, and school performance between the entire sample and normative standards as well as by heart lesion complexity were assessed using t-tests. For more direct clinical relevance, we repeated analyses using chi-square tests, defining “abnormal” scores on the BRIEF, CBCL, and Peds-QL as those within the worst 10% compared with norms. The relationship between age and outcome variables was assessed using Pearson’s r.

Multivariable analysis was conducted using Ordinary Least Squared Regression to determine whether executive functioning impacts school performance above and beyond demographic characteristics, IQ, and heart lesion complexity. A Variance Inflation score was calculated to assess the level of multicollinearity between the Behavioral Regulation and Metacognition indices in the models. All variables remained in the model in order to test the strength of the relationships between the predictor variables and outcome in the presence of covariates. Parameter and standardized estimates show the change in the relationships between outcome and predictors in raw form (b) as well as the effect size (β) for each variable in the model. An α < 0.05 was used to determine significance. All analysis was conducted using SAS 9.2©.

RESULTS

Of 177 survivors of CHD surgery who met eligibility criteria, 143 survivors and their parents/guardians elected to participate. Survivors were an average of 12 ± 2.6 years old, predominantly white, and slightly more likely to be male and from families above the US income median (Table I). Roughly one-third of survivors had single-ventricle heart lesions and, as expected, survivors of single-ventricle CHD had more surgeries and catheterizations, with fewer years since their last hospitalization (p<0.001). About one-quarter of the sample had been diagnosed with a learning disability or had an Individualized Education Program (IEP), with similar rates across single-ventricle and two-ventricle CHD. Even so, survivors with single-ventricle CHD had higher rates of grade retention (p<0.001) and missed more school in the past year (p=0.04).

Aim 1: Complex CHD versus Normative Data on executive functioning, IQ, and School Performance

As predicted, survivors of complex CHD had significantly worse mean scores than norms on both behavior regulation and metacognitive aspects of executive functioning as well as IQ and school performance (p≤0.001; Table II). Unusually high rates of abnormal scores were present across all outcomes except BRIEF Behavior Regulation Index, with ¼ – ½ of survivors scoring in the worst 10% of norms on metacognition, IQ, and school performance (p<0.001).

Table 2.

Executive Functioning, IQ, and School Performance among Survivors of Complex CHD

Mean ± standard deviation Sample mean versus norms Rates of abnormal scores in sample
Domain CHD Sample Published Norms t-test p % abnormal p
Executive Functioninga
BRIEF Behavior Regulation Index (T-score) 53.1 ± 11.3 50.0 ± 10.0 3.27 0.001 13% 0.42
BRIEF Metacognitive Index (T-score) 56.6 ± 11.6 50.0 ± 10.0 6.84 < 0.001 24% < 0.001
Intelligence
Full-Scale IQ (Standard Scores) 91.6 ± 16.3 100 ± 15.0 −6.12 < 0.001 22% < 0.001
School Functioning
CBCL School Competence (T-score) 42.3 ± 10.0 50.0 ± 10.0 −9.12 < 0.001 30% < 0.001
Peds-QL School subscale – Parent-Report (raw) 62.1 ± 21.3 85.5 ± 17.6 −13.11 < 0.001 55% < 0.001
Peds-QL School subscale – Self-Report (raw) 66.1 ± 21.4 78.6 ± 20.5 −6.94 < 0.001 25% < 0.001

Note: Source for Peds QL norms: Varni et al., 2001, p. 804–805.

a

Higher BRIEF scores indicate poorer functioning; higher IQ, CBCL, and Peds-QL scores indicate better functioning.

Of the two aspects of executive functioning, metacognition was more severely affected than behavior regulation (t=6.22, p<0.0001). Age correlated with poor metacognition (r=.22, p=0.007) but not behavioral regulation (r=.06, n.s.). The prevalence of abnormal scores on the BRIEF Metacognitive Index rose dramatically through adolescence (Figure).

Figure 1.

Figure 1

Executive Functioning Difficulties by Age within Complex CHD Sample

Note. MI= Metacognitive Index. BRI= Behavioral Regulation Index

Survivors with single-ventricle lesions were rated by their parents as having significantly lower school competency (mean=39.9) and school QOL (mean=56.7) than were survivors with two-ventricle lesions (mean=43.7, p=0.03 and mean=65.1, p=0.02, respectively). Survivors with single-ventricle lesions themselves also reported significantly lower school QOL (mean=60.5) than did survivors with two-ventricle lesions (mean=69.2, p=0.02). In contrast, survivors with two-ventricle lesions were rated as having poorer behavioral regulation (mean=55.1) than survivors with single-ventricle lesions (mean=49.5, p=0.004). There were no significant differences across heart lesion complexity for IQ or metacognition.

Aim 2: executive functioning Uniquely Predicts School Performance in CHD

Multivariable analysis assessed whether executive functioning was associated with school performance in the presence of demographic characteristics, heart lesion complexity, and IQ. Collectively these variables predicted 37–54% of the variance in parent-reported school competence and school QOL and in child-reported school QOL (Table III). The Variance Inflation scores were slightly above 1, indicating an acceptable level of collinearity in the models. Even after accounting for other predictors, poorer metacognition significantly predicted poorer parent-report school competence (β=−.50, p<0.001) and school QOL (β=−.55, p<0.001), and poorer child-reported school QOL (β=−.37, p<0.001). Although both IQ and demographic factors were related to school performance, metacognition was the strongest single predictor, exceeding IQ and demographic factors. Indeed, neither behavior regulation nor heart lesion complexity predicted significant variance on any of the three school performance outcome measures in the presence of the other predictors. In other words, the effect of CHD complexity on school performance is not statistically significant when metacognition and IQ are in the models.

Table 3.

Multivariable Analysis of Child- and Parent-Reported School Functioning

School Functioning
CBCL - Parent Peds-QL - Parent Peds-QL - Child
Variables b β b β b β
 Age 0.64 0.17** 0.33 0.04 0.56 0.07
 Sex 1.36 0.07 7.56 0.17** 0.83 0.02
 Race (White/Nonwhite) 1.47 0.05 0.97 0.02 9.50 0.16*
 Median Family Income 1.86 0.09 8.59 0.20** 10.12 0.24**
 CHD Complexity 2.23 0.11 4.49 0.10 5.56 0.12
 Missed School Weeks −0.81 −0.07 −5.36 −0.21** −4.70 −0.19*
 IQ 0.28 0.43*** 0.23 0.17* 0.16 0.12
 BRIEF: Metacognition −0.42 −0.50*** −1.01 −0.55*** −0.67 −0.37***
 BRIEF: Behavior Regulation 0.14 0.17 0.23 0.12 0.20 0.11
Model Statistics R2 = 0.54 (F=17.96, p<0.001) R2 = 0.54 (F=18.29, p <0.001) R2 = 0.37 (F=9.73, p <0.001)

Note. CBCL=Child Behavior Checklist. Peds-QL=Pediatric Quality of Life Inventory. BRIEF=Behavior Rating Inventory of Executive Function.

*

p<.05,

**

p<.01,

***

p<.001

DISCUSSION

Despite impressively improved survival rates for children with complex CHD, many survivors face significant neurodevelopmental morbidities that impact everyday life. The current study focused on potential deficits in executive functioning in everyday life, especially as it relates to school performance, and yielded three main findings. First, school-aged survivors of complex CHD have greater executive functioning difficulties in daily life than their heart-healthy peers. These findings are largely consistent with the few existing studies involving structured tests of executive functioning19, 20, 27 and further demonstrate that pediatric survivors of complex CHD surgery evidence executive functioning deficits in real-world settings.21 This distinction is important because results of office-based tests of executive functioning can be poor predictors of real-world functioning.18 In real-world settings, the ability to regulate behaviors (e.g., flexibly adapting to situations, inhibiting impulses) and to engage in metacognitive tasks (e.g., planning, organization, follow-through) are critical to setting and achieving important life goals, including success at the primary “work” of childhood: functioning at school.

The second major finding was that deficits in metacognitive functioning were not only uniquely associated with school performance but more strongly predicted problems at school than IQ, race, sex, or heart lesion complexity. This finding highlights a previously under-recognized contributor to the poor scholastic functioning that was reflected in ¼ to ½ of our sample. Although parent report was used to measure both metacognition and some aspects of school functioning, the link between the two cannot be attributed simply to reporter bias because metacognitive functioning was also a strong predictor of child-reported school performance, and parent report of behavior regulation predicted neither parent- nor child-reported school functioning. Although present findings replicated past work indicating a downward shift in overall IQ,28, 29 it appears that deficits in higher-level metacognitive processes may be even more important than IQ in influencing the overall success of children with complex CHD at school.

The final major finding was that, among executive functioning, aspects that relate to metacognitive skills (e.g., planning, organization, follow-through) appear particularly salient to the outcomes of school-aged survivors of CHD. Behavior regulation was not a unique predictor of school performance and was much less likely than metacognitive functioning to be abnormal in our overall sample. Further, whereas behavior regulation did not vary by age, the risk of metacognitive difficulties increased with age. In this cross-sectional study, it is impossible to rule out cohort effects, but we posit that many children with CHD fail to keep up with the normal development of metacognitive skills. Executive functioning has a prolonged developmental course, paralleling the protracted maturation of the frontal lobes throughout childhood and adolescence.30 As normative expectations increase developmentally, the effects of CHD on executive functioning may become more apparent. Cassidy et al21 found that rates of executive functioning impairment were nearly twice as high for pre-adolescent and adolescent survivors than controls.

There were several limitations in the current study. First, survivors were recruited from a single region, which may impact the generalizability of the results. Study survivors may differ geographically, culturally, or ethnically from others with complex CHD. Second, study data were compared with normative standards, not a matched cohort that could afford more precise analysis. Even so, it is reassuring that the demographics of our sample (eg, slightly above median US income) might be expected to attenuate deficits, rather than accentuate them, and our sample scored similarly to other samples of children with complex CHD who had decreased cognitive functioning compared with both control groups and normative data.31 Third, despite the large sample of survivors of CHD surgery, individual diagnostic groups were too small to allow for analyses beyond the rough 1- versus 2-ventricle grouping. Finally, the study relied on parent ratings as the sole measure of executive functioning. Office-based neuropsychological tests of executive functioning may fail to elicit deficits by virtue of their structured nature, but use of proxy-report also has inherent limitations (e.g., respondent bias). Even remaining within the realm of proxy reporting, we recommend that future work collect teacher-report data to complement the caregiver perspective. Similarly, assessment of school functioning can be enhanced with objective scholastic measures and/or academic documentation.

Despite these limitations, current findings document the particular importance of metacognition as a key area of skill deficit in many survivors of complex CHD surgery that becomes even more prominent in late childhood. Knowledge of this vulnerability provides impetus for greater routine assessment of executive functioning for these pediatric survivors. This brief assessment, which may help to avert related scholastic struggles and underachievement, could be done by routinely asking about behavior regulation, planning, organization, and follow-through on tasks or systematically using questionnaires (such as the BRIEF) that offer the advantage of comparisons against age- and sex-linked norms. It may also keep executive functioning difficulties from being misattributed to personality or behavior problems (e.g., laziness, boredom, stubbornness), which could delay or prevent implementation of appropriate supports. Our findings also suggest it is especially important to assess and monitor older children and adolescents, even if they have long been medically stable. Better early identification of potential executive impairments allows for opportunities for more specialized follow-up evaluation and interventions, typically by pediatric psychologists or neuropsychologists, in service of promoting scholastic success in this at-risk population. Similar to other medically-complex populations, as patients near young adulthood, consideration can also be given to the important role of executive functioning in transitioning planning and preparing for post-secondary opportunities.

In sum, executive functioning difficulties were significantly higher in pediatric survivors of complex CHD surgery, with metacognition emerging as a preeminent predictor of school functioning. These findings provide compelling evidence for further investigation, routine clinical assessment of metacognitive deficits, and interventions when needed, especially in older children and those who are struggling at school.

Acknowledgments

Funded by Cincinnati Children Hospital Medical Center’s Heart Institute Research Core and Clinical Translational Research Center (National Institutes of Health UL1 RR026314).

Abbreviations

BRIEF

Behavior Rating Inventory of Executive Functioning

CBCL

Child Behavior Checklist

CHD

Congenital Heart Disease

QOL

Quality of Life

MI

Metacognition Index

BRI

Behavior Regulation Index

Peds-QL

Pediatric Quality of Life Questionnaire, Generic, Version 4.0

Footnotes

The authors declare no conflicts of interest.

Portions of the study were presented at the scientific session and expo of the American College of Cardiology, <dates>, <city, state>.

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References

  • 1.Lloyd-Jones D, Adams R, Carnethon M, De Simone G, Ferguson TB, Flegal K, et al. Heart disease and stroke statistics--2009 update: A report from the american heart association statistics committee and stroke statistics subcommittee. Circulation. 2009;119:e21–181. doi: 10.1161/CIRCULATIONAHA.108.191261. [DOI] [PubMed] [Google Scholar]
  • 2.Canfield MA, Honein MA, Yuskiv N, Xing J, Mai CT, Collins JS, et al. National estimates and race/ethnic-specific variation of selected birth defects in the united states, 1999–2001. Birth Defects Res A Clin Mol Teratol. 2006;76:747–56. doi: 10.1002/bdra.20294. [DOI] [PubMed] [Google Scholar]
  • 3.Warnes CA, Liberthson R, Danielson GK, Dore A, Harris L, Hoffman JI, et al. Task force 1: The changing profile of congenital heart disease in adult life. J Am Coll Cardiol. 2001;37:1170–5. doi: 10.1016/s0735-1097(01)01272-4. [DOI] [PubMed] [Google Scholar]
  • 4.Mahle WT, Tavani F, Zimmerman RA, Nicolson SC, Galli KK, Gaynor JW, et al. An MRI study of neurological injury before and after congenital heart surgery. Circulation. 2002;106:I109–14. [PubMed] [Google Scholar]
  • 5.Domi T, Edgell DS, McCrindle BW, Williams WG, Chan AK, MacGregor DL, et al. Frequency, predictors, and neurologic outcomes of vaso-occlusive strokes associated with cardiac surgery in children. Pediatrics. 2008;122:1292–8. doi: 10.1542/peds.2007-1459. [DOI] [PubMed] [Google Scholar]
  • 6.Licht DJ, Shera DM, Clancy RR, Wernovsky G, Montenegro LM, Nicolson SC, et al. Brain maturation is delayed in infants with complex congenital heart defects. J Thorac Cardiovasc Surg. 2009;137:529–36. doi: 10.1016/j.jtcvs.2008.10.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Limperopoulos C, Tworetzky W, McElhinney DB, Newburger JW, Brown DW, Robertson RL, Jr, et al. Brain volume and metabolism in fetuses with congenital heart disease: Evaluation with quantitative magnetic resonance imaging and spectroscopy. Circulation. 2010;121:26–33. doi: 10.1161/CIRCULATIONAHA.109.865568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Bellinger DC, Wypij D, duPlessis AJ, Rappaport LA, Jonas RA, Wernovsky G, et al. Neurodevelopmental status at eight years in children with dextro-transposition of the great arteries: The Boston Circulatory Arrest Trial. J Thorac Cardiov Sur. 2003;126:1385–96. doi: 10.1016/s0022-5223(03)00711-6. [DOI] [PubMed] [Google Scholar]
  • 9.Hovels-Gurich HH, Konrad K, Skorzenski D, Minkenberg R, Herpertz-Dahlmann B, Messmer BJ, et al. Long-term behavior and quality of life after corrective cardiac surgery in infancy for tetralogy of Fallot or ventricular septal defect. Pediatr Cardiol. 2007;28:346–54. doi: 10.1007/s00246-006-0123-z. [DOI] [PubMed] [Google Scholar]
  • 10.Uzark K, Jones K, Slusher J, Limbers CA, Burwinkle TM, Varni JW. Quality of life in children with heart disease as perceived by children and parents. Pediatrics. 2008;121:e1060–7. doi: 10.1542/peds.2006-3778. [DOI] [PubMed] [Google Scholar]
  • 11.Bellinger DC, Wypij D, Rivkin MJ, DeMaso DR, Robertson RL, Jr, Dunbar-Masterson C, et al. Adolescents with d-transposition of the great arteries corrected with the arterial switch procedure: Neuropsychological assessment and structural brain imaging. Circulation. 2011;124:1361–9. doi: 10.1161/CIRCULATIONAHA.111.026963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lane DA, Lip GY, Millane TA. Quality of life in adults with congenital heart disease. Heart. 2002;88:71–5. doi: 10.1136/heart.88.1.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Shillingford AJ, Glanzman MM, Ittenbach RF, Clancy RR, Gaynor JW, Wernovsky G. Inattention, hyperactivity, and school performance in a population of school-age children with complex congenital heart disease. Pediatrics. 2008;121:e759–67. doi: 10.1542/peds.2007-1066. [DOI] [PubMed] [Google Scholar]
  • 14.Marino BSTR, Wernovsky G, Drotar D, Newburger J, Mahony L, Mussatto K, Tong E, Cohen M, Anderson C, Shera D, Khoury PR, Wray J, Gaynor JW, Helfaer MA, Kazak AE, Shea JA. Validation of the pediatric cardiac quality of life inventory. Pediatrics. 2010;126:498–508. doi: 10.1542/peds.2009-2973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jacobson LA, Williford AP, Pianta RC. The role of executive function in children’s competent adjustment to middle school. Child Neuropsychol. 2011;17:255–80. doi: 10.1080/09297049.2010.535654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.McClelland MM, Cameron CE. Self-regulation and academic achievement in elementary school children. New Dir Child Adolesc Dev. 2011;2011:29–44. doi: 10.1002/cd.302. [DOI] [PubMed] [Google Scholar]
  • 17.Blair C, Razza RP. Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Dev. 2007;78:647–63. doi: 10.1111/j.1467-8624.2007.01019.x. [DOI] [PubMed] [Google Scholar]
  • 18.Gioia GA, Isquith PK, Guy SC, Kenworthy L. BRIEF-Behavior Rating Inventory of Executive Function: Professional manual. Odessa, FL: Psychological Assessment Resources; 2000. [Google Scholar]
  • 19.Miatton M, De Wolf D, Francois K, Thiery E, Vingerhoets G. Neuropsychological performance in school-aged children with surgically corrected congenital heart disease. J Pediatr. 2007;151:73–8. 8 e1. doi: 10.1016/j.jpeds.2007.02.020. [DOI] [PubMed] [Google Scholar]
  • 20.Calderon J, Bonnet D, Courtin C, Concordet S, Plumet MH, Angeard N. Executive function and theory of mind in school-aged children after neonatal corrective cardiac surgery for transposition of the great arteries. Dev Med Child Neurol. 2010;52:1139–44. doi: 10.1111/j.1469-8749.2010.03735.x. [DOI] [PubMed] [Google Scholar]
  • 21.Cassidy AR, White MT, DeMaso DR, Newburger JW, Bellinger DC. Executive function in children and adolescents with critical cyanotic congential heart disease. J Int Neuropsychol Soc. 2014;21:34–49. doi: 10.1017/S1355617714001027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Zelko F, Beebe D, Baker A, Nelson SM, Ali A, Cedeno A, et al. Academic outcomes in childhood-onset systemic lupus erythematosus. Arthritis Care Res. 2012;64:1167–74. doi: 10.1002/acr.21681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Achenbach TMRL. Manual for the ASEBA school-age forms and profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families; 2001. [Google Scholar]
  • 24.Varni JW, Seid M, Kurtin PS. PedsQL 4.0: Reliability and validity of the Pediatric Quality of Life Inventory version 4. 0 generic core scales in healthy and patient populations. Med Care. 2001;39:800–12. doi: 10.1097/00005650-200108000-00006. [DOI] [PubMed] [Google Scholar]
  • 25.Varni J, Burwinkle T, Seid M, Skarr D. The PedsQL 4. 0 as a pediatric population health measure: Feasibility, reliability, and validity. Ambul Pediatr. 2003;3:329–41. doi: 10.1367/1539-4409(2003)003<0329:tpaapp>2.0.co;2. [DOI] [PubMed] [Google Scholar]
  • 26.Donders J, Elzinga B, Kuipers D, Helder E, Crawford JR. Development of an eight-subtest short form of the WISC-IV and evaluation of its clinical utility in children with traumatic brain injury. Child Neuropsychol. 2013;19:662–70. doi: 10.1080/09297049.2012.723681. [DOI] [PubMed] [Google Scholar]
  • 27.Bellinger DC, Wypij D, duPlessis AJ, Rappaport LA, Jonas RA, Wernovsky G, et al. Neurodevelopmental status at eight years in children with dextro-transposition of the great arteries: The Boston Circulatory Arrest Trial. J Thorac Cardiovasc Surg. 2003;126:1385–96. doi: 10.1016/s0022-5223(03)00711-6. [DOI] [PubMed] [Google Scholar]
  • 28.Mahle WT, Clancy RR, Moss EM, Gerdes M, Jobes DR, Wernovsky G. Neurodevelopmental outcome and lifestyle assessment in school-aged and adolescent children with hypoplastic left heart syndrome. Pediatrics. 2000;105:1082–9. doi: 10.1542/peds.105.5.1082. [DOI] [PubMed] [Google Scholar]
  • 29.Wernovsky G, Stiles KM, Gauvreau K, Gentles TL, duPlessis AJ, Bellinger DC, et al. Cognitive development after the Fontan operation. Circulation. 2000;102:883–9. doi: 10.1161/01.cir.102.8.883. [DOI] [PubMed] [Google Scholar]
  • 30.Giedd JN, Snell JW, Lange N, Rajapakse JC, Casey BJ, Kozuch PL, et al. Quantitative magnetic resonance imaging of human brain development: Ages 4–18. Cereb Cortex. 1996;6:551–60. doi: 10.1093/cercor/6.4.551. [DOI] [PubMed] [Google Scholar]
  • 31.Karsdorp PA, Everaerd W, Kindt M, Mulder BJ. Psychological and cognitive functioning in children and adolescents with congenital heart disease: A meta-analysis. J Pediatr Psychol. 2007;32:527–41. doi: 10.1093/jpepsy/jsl047. [DOI] [PubMed] [Google Scholar]

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