232 research outputs found

    Task Force 2: Congenital heart disease

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    Reply to the Editor

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    Gene-expression patterns reveal underlying biological processes in Kawasaki disease

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    Background: Kawasaki disease (KD) is an acute self-limited vasculitis and the leading cause of acquired heart disease in children in developed countries. No etiologic agent(s) has been identified, and the processes that mediate formation of coronary artery aneurysms and abatement of fever following treatment with intravenous immunoglobulin (IVIG) remain poorly understood. Results: In an initial survey, we used DNA microarrays to examine patterns of gene expression in peripheral whole blood from 20 children with KD; each was sampled during the acute, subacute, and convalescent phases of the illness. Acute KD was characterized by increased relative abundance of gene transcripts associated with innate immune and proinflammatory responses and decreased abundance of transcripts associated with natural killer cells and CD8+ lymphocytes. There was significant temporal variation in transcript levels during the acute disease phase and stabilization thereafter. We confirmed these temporal patterns in a second cohort of 64 patients, and identified additional inter-individual differences in transcript abundance. Notably, higher levels of transcripts of the gene for carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) were associated with an increased percentage of unsegmented neutrophils, fewer days of illness, higher levels of C-reactive protein, and subsequent non-response to IVIG; this last association was confirmed by quantitative reverse transcription PCR in a third cohort of 33 patients, and was independent of day of illness. Conclusion: Acute KD is characterized by dynamic and variable gene-expression programs that highlight the importance of neutrophil activation state and apoptosis in KD pathogenesis. Our findings also support the feasibility of extracting biomarkers associated with clinical prognosis from gene-expression profiles of individuals with systemic inflammatory illnesses

    Association between Technical Performance Scores and neurodevelopmental outcomes after congenital cardiac surgery

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    ObjectivesTechnical Performance Score (TPS) has been shown to have a strong association with early and late outcomes after congenital cardiac surgery, with greater morbidity and reintervention in children with major residual lesions (TPS class 3). We sought to explore the effect of TPS on the neurodevelopmental outcomes.MethodsAll infants undergoing cardiac surgery, excluding those with trisomy 21, were offered neurodevelopmental testing at 1 year of age using the Bayley Scales of Infant Development, 3rd edition. TPSs from the discharge echocardiograms were graded as class 1 (optimal), class 2 (minor residual), or class 3 (major residual). Multivariate regression analysis was performed using patient characteristics and preoperative variables.ResultsNeurodevelopmental testing was performed in 140 patients at a median age of 16 months. Of these, 28 (20%) had single ventricle palliation; 39 (28%) were in Risk Adjustment for Congenital Heart Surgery category 4 to 6. Significant differences between the groups were found in the cognitive (P = .01) and motor (P = .05) domains, with subjects in TPS class 3 having significantly lower cognitive and motor composite scores. The scores did not vary significantly according to single ventricle versus biventricular repair or Risk Adjustment for Congenital Heart Surgery categorization. In multivariate modeling, class 3 TPS remained significantly associated with a lower Bayley cognitive score (P = .02), with a trend toward a lower Bayley motor score (P = .08).ConclusionsWe found that TPS is an independent predictor of neurodevelopmental outcomes after infant heart surgery. Future research should explore whether a structured program of intraoperative recognition and intervention on residual lesions can improve the TPS and neurodevelopmental outcomes

    The impact of socio-economic status on health related quality of life for children and adolescents with heart disease

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    Background: Socioeconomic status (SES) is known to influence children’s health-related quality of life. Many SES indicators assess distinct dimensions of a family’s position rather than measuring the same underlying construct. Many researchers, however, see SES indicators as interchangeable. The primary aim of this study was to determine which measure of SES had the strongest impact on health-related quality of life. Methods: This is a secondary analysis of the Pediatric Cardiac Quality of Life Inventory Validation Study. The SES variables were family income, Hollingshead Index (occupational prestige), and highest parent educational attainment level. Health-related quality of life was measured using the Pediatric Cardiac Quality of Life Inventory. Correlations tested the relationship among the three SES indicators. Regression-based modeling was used to calculate the strength of the association between SES measures and the Pediatric Cardiac Quality of Life Inventory. Results: The correlations among the SES measures were moderately high, with the correlation between the Hollingshead Index and parental education being r = 0.62 (95% CI = 0.56-0.65). There were equally high correlations between family income and the Hollingshead (r = 0.61, 95% CI = 0.57-0.65) and a slightly lower correlation between family income and parental education (r = 0.55, 95% CI = 0.52-0.59). Family income had the highest explanatory value compared to the Hollingshead Index or parental educational attainment, while controlling for sex, race, current cardiac status, and original diagnosis, accounting for 4-5% of the variation in patient and parent Pediatric Cardiac Quality of Life Inventory Total score, respectively, compared to the other SES measures. Conclusion: Family income as an SES measure demonstrated the greatest fidelity with respect to health-related quality of life as measured by the Pediatric Cardiac Quality of Life Inventory across respondent groups and explained more of the variation compared to the Hollingshead Index or highest parental educational attainment
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