Differences in Quality of Life in Children Across the Spectrum of Congenital Heart Disease.

OBJECTIVE: To create complexity groups based upon a patient's cardiac medical history and to test for group differences in health-related quality of life (HRQOL). METHODS: Patients 8-18 years with congenital heart disease (CHD) and parent-proxies from the Pediatric Cardiac Quality of Life Inventory (PCQLI) Testing Study were included. Outcome variables included PCQLI Total, Disease Impact, and Psychosocial Impact scores. Using a patient's medical history (cardiac, neurologic, psychological, and cognitive diagnosis), latent class analysis (LCA) was used to create CHD complexity groups. Covariates included demographics and burden of illness (number of: school weeks missed, physician visits in the past year, and daily medications). Generalized estimation equations tested for differences in burden of illness and patient and parent-proxy PCQLI scores. RESULTS: Using 1482 CHD patients (60% male; 84% white; age 12.3 ± 3.0 years), latent class analysis (LCA) estimates showed 4 distinct CHD complexity groups (Mild, Moderate 1, Moderate 2, and Severe). Increasing CHD complexity was associated with increased risk of learning disorders, seizures, mental health problems, and history of stroke. Greater CHD complexity was associated with greater burden of illness (P < .01) and lower patient- and parent-reported PCQLI scores (P < .001). CONCLUSIONS: LCA identified 4 congenital heart disease (CHD) complexity groupings. Increasing CHD complexity was associated with higher burden of illness and worse patient- and parent-reported HRQOL.

Behavioral and Emotional Outcomes in Children with Congenital Heart Disease: Effects of Disease Severity, Family Life Stress, Disease-Related Chronic Stress, and Psychosocial Adaptation.

OBJECTIVE: To evaluate whether effects of congenital heart disease (CHD) severity and family life stress on behavioral and emotional functioning are mediated by disease-related chronic stress and psychosocial adaptation. STUDY DESIGN: A cross-sectional analysis of the Pediatric Cardiac Quality of Life Inventory Testing Study was performed. Relationships between CHD severity (comprising 3 groups: mild heart disease, moderate biventricular disease, and single ventricle) and family life stress, on patient- and parent disease-related chronic stress, psychosocial adaptation, and behavioral-emotional outcomes were assessed using structural equation modeling. Patient and parent models were reported separately. RESULTS: There were 981 patient-parent dyads: 22% had mild heart disease, 63% biventricular, and 15% single ventricle; 19% of families reported moderate to major family life stress. Path models revealed that CHD severity and family life stress were mediated by disease-related chronic stress and psychosocial adaptation factors (R2 = 0.18-0.24 for patient outcomes and R2 = 0.33-0.34 for parent outcomes, P < .001, respectively). CONCLUSIONS: The effects of greater CHD severity and family life stress on behavioral-emotional outcomes were mediated by worse disease-related chronic stress and psychosocial adaptation factors. Both disease-related chronic stress and psychosocial adaptation factors may be targets for interventions to improve behavioral and emotional outcomes.

Prediction by clinicians of quality of life for children and adolescents with cardiac disease.

OBJECTIVE: To determine whether clinicians could reliably predict health-related quality of life (HRQOL) for children with cardiac disease, the level of agreement in predicted HRQOL scores between clinician sub-types, and agreement between clinician-predicted HRQOL scores and patient and parent-proxy reported HRQOL scores. STUDY DESIGN: In this multicenter, cross-sectional study, a random sample of clinical summaries of children with cardiac disease and related patient and parent-proxy reported HRQOL scores were extracted from the Pediatric Cardiac Quality of Life Inventory data registry. We asked clinicians to review each clinical summary and predict HRQOL. RESULTS: Experienced pediatric cardiac clinicians (n = 140), including intensive care physicians, outpatient cardiologists, and intensive care, outpatient, and advanced practice nurses, each predicted HRQOL for the same 21 pediatric cardiac patients. Reliability within clinician subspecialty groups for predicting HRQOL was poor (intraclass correlation coefficients, 0.34-0.38). Agreement between clinician groups was low (Pearson correlation coefficients, 0.10-0.29). When comparing the average clinician predicted HRQOL scores to those reported by patients and parent-proxies by Bland Altman plots, little systematic bias was present, but substantial variability existed. Proportional bias was found, in that clinicians tended to overestimate HRQOL for those patients and parent-proxies who reported lower HRQOL, and underestimate HRQOL for those reporting higher HRQOL. CONCLUSIONS: Clinicians perform poorly when asked to predict HRQOL for children with cardiac disease. Clinicians should be cognizant of these data when providing counseling. Incorporating reported HRQOL into clinical assessment may help guide individualized treatment decision-making.